add ProcessTransport unitTest and fix bug

.github/workflows/release-sdk.yml

@@ -33,10 +33,6 @@ on:
         type: 'boolean'
         default: false
 
-concurrency:
-  group: '${{ github.workflow }}'
-  cancel-in-progress: false
-
 jobs:
   release-sdk:
     runs-on: 'ubuntu-latest'
@@ -50,7 +46,6 @@ jobs:
       packages: 'write'
       id-token: 'write'
       issues: 'write'
-      pull-requests: 'write'
     outputs:
       RELEASE_TAG: '${{ steps.version.outputs.RELEASE_TAG }}'
 
@@ -168,11 +163,11 @@ jobs:
           echo "BRANCH_NAME=${BRANCH_NAME}" >> "${GITHUB_OUTPUT}"
 
       - name: 'Update package version'
+        working-directory: 'packages/sdk-typescript'
         env:
           RELEASE_VERSION: '${{ steps.version.outputs.RELEASE_VERSION }}'
         run: |-
-          # Use npm workspaces so the root lockfile is updated consistently.
-          npm version -w @qwen-code/sdk "${RELEASE_VERSION}" --no-git-tag-version --allow-same-version
+          npm version "${RELEASE_VERSION}" --no-git-tag-version --allow-same-version
 
       - name: 'Commit and Conditionally Push package version'
         env:
@@ -180,7 +175,7 @@ jobs:
           IS_DRY_RUN: '${{ steps.vars.outputs.is_dry_run }}'
           RELEASE_TAG: '${{ steps.version.outputs.RELEASE_TAG }}'
         run: |-
-          git add packages/sdk-typescript/package.json package-lock.json
+          git add packages/sdk-typescript/package.json
           if git diff --staged --quiet; then
             echo "No version changes to commit"
           else
@@ -227,49 +222,6 @@ jobs:
             --notes-start-tag "sdk-typescript-${PREVIOUS_RELEASE_TAG}" \
             --generate-notes
 
-      - name: 'Create PR to merge release branch into main'
-        if: |-
-          ${{ steps.vars.outputs.is_dry_run == 'false' }}
-        id: 'pr'
-        env:
-          GITHUB_TOKEN: '${{ secrets.GITHUB_TOKEN }}'
-          RELEASE_BRANCH: '${{ steps.release_branch.outputs.BRANCH_NAME }}'
-          RELEASE_TAG: '${{ steps.version.outputs.RELEASE_TAG }}'
-        run: |-
-          set -euo pipefail
-
-          pr_url="$(gh pr list --head "${RELEASE_BRANCH}" --base main --json url --jq '.[0].url')"
-          if [[ -z "${pr_url}" ]]; then
-            pr_url="$(gh pr create \
-              --base main \
-              --head "${RELEASE_BRANCH}" \
-              --title "chore(release): sdk-typescript ${RELEASE_TAG}" \
-              --body "Automated release PR for sdk-typescript ${RELEASE_TAG}.")"
-          fi
-
-          echo "PR_URL=${pr_url}" >> "${GITHUB_OUTPUT}"
-
-      - name: 'Wait for CI checks to complete'
-        if: |-
-          ${{ steps.vars.outputs.is_dry_run == 'false' }}
-        env:
-          GITHUB_TOKEN: '${{ secrets.GITHUB_TOKEN }}'
-          PR_URL: '${{ steps.pr.outputs.PR_URL }}'
-        run: |-
-          set -euo pipefail
-          echo "Waiting for CI checks to complete..."
-          gh pr checks "${PR_URL}" --watch --interval 30
-
-      - name: 'Enable auto-merge for release PR'
-        if: |-
-          ${{ steps.vars.outputs.is_dry_run == 'false' }}
-        env:
-          GITHUB_TOKEN: '${{ secrets.GITHUB_TOKEN }}'
-          PR_URL: '${{ steps.pr.outputs.PR_URL }}'
-        run: |-
-          set -euo pipefail
-          gh pr merge "${PR_URL}" --merge --auto
-
       - name: 'Create Issue on Failure'
         if: |-
           ${{ failure() }}

docs/users/configuration/settings.md

@@ -43,7 +43,6 @@ Qwen Code uses JSON settings files for persistent configuration. There are four
 In addition to a project settings file, a project's `.qwen` directory can contain other project-specific files related to Qwen Code's operation, such as:
 
 - [Custom sandbox profiles](../features/sandbox) (e.g. `.qwen/sandbox-macos-custom.sb`, `.qwen/sandbox.Dockerfile`).
-- [Agent Skills](../features/skills) (experimental) under `.qwen/skills/` (each Skill is a directory containing a `SKILL.md`).
 
 ### Available settings in `settings.json`
 
@@ -381,8 +380,6 @@ Arguments passed directly when running the CLI can override other configurations
 | `--telemetry-otlp-protocol`  |       | Sets the OTLP protocol for telemetry (`grpc` or `http`).                                                                                                                                |                                        | Defaults to `grpc`. See [telemetry](../../developers/development/telemetry) for more information.                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
 | `--telemetry-log-prompts`    |       | Enables logging of prompts for telemetry.                                                                                                                                               |                                        | See [telemetry](../../developers/development/telemetry) for more information.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
 | `--checkpointing`            |       | Enables [checkpointing](../features/checkpointing).                                                                                                                                     |                                        |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
-| `--experimental-acp`         |       | Enables ACP mode (Agent Control Protocol). Useful for IDE/editor integrations like [Zed](../integration-zed).                                                                           |                                        | Experimental.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
-| `--experimental-skills`      |       | Enables experimental [Agent Skills](../features/skills) (registers the `skill` tool and loads Skills from `.qwen/skills/` and `~/.qwen/skills/`).                                       |                                        | Experimental.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
 | `--extensions`               | `-e`  | Specifies a list of extensions to use for the session.                                                                                                                                  | Extension names                        | If not provided, all available extensions are used. Use the special term `qwen -e none` to disable all extensions. Example: `qwen -e my-extension -e my-other-extension`                                                                                                                                                                                                                                                                                                                                                                                        |
 | `--list-extensions`          | `-l`  | Lists all available extensions and exits.                                                                                                                                               |                                        |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
 | `--proxy`                    |       | Sets the proxy for the CLI.                                                                                                                                                             | Proxy URL                              | Example: `--proxy http://localhost:7890`.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |

docs/users/features/_meta.ts

@@ -1,7 +1,6 @@
 export default {
   commands: 'Commands',
   'sub-agents': 'SubAgents',
-  skills: 'Skills (Experimental)',
   headless: 'Headless Mode',
   checkpointing: {
     display: 'hidden',

docs/users/features/headless.md

@@ -189,20 +189,19 @@ qwen -p "Write code" --output-format stream-json --include-partial-messages | jq
 
 Key command-line options for headless usage:
 
-| Option                       | Description                                             | Example                                                                  |
-| ---------------------------- | ------------------------------------------------------- | ------------------------------------------------------------------------ |
-| `--prompt`, `-p`             | Run in headless mode                                    | `qwen -p "query"`                                                        |
-| `--output-format`, `-o`      | Specify output format (text, json, stream-json)         | `qwen -p "query" --output-format json`                                   |
-| `--input-format`             | Specify input format (text, stream-json)                | `qwen --input-format text --output-format stream-json`                   |
-| `--include-partial-messages` | Include partial messages in stream-json output          | `qwen -p "query" --output-format stream-json --include-partial-messages` |
-| `--debug`, `-d`              | Enable debug mode                                       | `qwen -p "query" --debug`                                                |
-| `--all-files`, `-a`          | Include all files in context                            | `qwen -p "query" --all-files`                                            |
-| `--include-directories`      | Include additional directories                          | `qwen -p "query" --include-directories src,docs`                         |
-| `--yolo`, `-y`               | Auto-approve all actions                                | `qwen -p "query" --yolo`                                                 |
-| `--approval-mode`            | Set approval mode                                       | `qwen -p "query" --approval-mode auto_edit`                              |
-| `--continue`                 | Resume the most recent session for this project         | `qwen --continue -p "Pick up where we left off"`                         |
-| `--resume [sessionId]`       | Resume a specific session (or choose interactively)     | `qwen --resume 123e... -p "Finish the refactor"`                         |
-| `--experimental-skills`      | Enable experimental Skills (registers the `skill` tool) | `qwen --experimental-skills -p "What Skills are available?"`             |
+| Option                       | Description                                         | Example                                                                  |
+| ---------------------------- | --------------------------------------------------- | ------------------------------------------------------------------------ |
+| `--prompt`, `-p`             | Run in headless mode                                | `qwen -p "query"`                                                        |
+| `--output-format`, `-o`      | Specify output format (text, json, stream-json)     | `qwen -p "query" --output-format json`                                   |
+| `--input-format`             | Specify input format (text, stream-json)            | `qwen --input-format text --output-format stream-json`                   |
+| `--include-partial-messages` | Include partial messages in stream-json output      | `qwen -p "query" --output-format stream-json --include-partial-messages` |
+| `--debug`, `-d`              | Enable debug mode                                   | `qwen -p "query" --debug`                                                |
+| `--all-files`, `-a`          | Include all files in context                        | `qwen -p "query" --all-files`                                            |
+| `--include-directories`      | Include additional directories                      | `qwen -p "query" --include-directories src,docs`                         |
+| `--yolo`, `-y`               | Auto-approve all actions                            | `qwen -p "query" --yolo`                                                 |
+| `--approval-mode`            | Set approval mode                                   | `qwen -p "query" --approval-mode auto_edit`                              |
+| `--continue`                 | Resume the most recent session for this project     | `qwen --continue -p "Pick up where we left off"`                         |
+| `--resume [sessionId]`       | Resume a specific session (or choose interactively) | `qwen --resume 123e... -p "Finish the refactor"`                         |
 
 For complete details on all available configuration options, settings files, and environment variables, see the [Configuration Guide](../configuration/settings).
 

docs/users/features/skills.md

@@ -1,282 +0,0 @@
-# Agent Skills (Experimental)
-
-> Create, manage, and share Skills to extend Qwen Code’s capabilities.
-
-This guide shows you how to create, use, and manage Agent Skills in **Qwen Code**. Skills are modular capabilities that extend the model’s effectiveness through organized folders containing instructions (and optionally scripts/resources).
-
-> [!note]
->
-> Skills are currently **experimental** and must be enabled with `--experimental-skills`.
-
-## Prerequisites
-
-- Qwen Code (recent version)
-- Run with the experimental flag enabled:
-
-```bash
-qwen --experimental-skills
-```
-
-- Basic familiarity with Qwen Code ([Quickstart](../quickstart.md))
-
-## What are Agent Skills?
-
-Agent Skills package expertise into discoverable capabilities. Each Skill consists of a `SKILL.md` file with instructions that the model can load when relevant, plus optional supporting files like scripts and templates.
-
-### How Skills are invoked
-
-Skills are **model-invoked** — the model autonomously decides when to use them based on your request and the Skill’s description. This is different from slash commands, which are **user-invoked** (you explicitly type `/command`).
-
-### Benefits
-
-- Extend Qwen Code for your workflows
-- Share expertise across your team via git
-- Reduce repetitive prompting
-- Compose multiple Skills for complex tasks
-
-## Create a Skill
-
-Skills are stored as directories containing a `SKILL.md` file.
-
-### Personal Skills
-
-Personal Skills are available across all your projects. Store them in `~/.qwen/skills/`:
-
-```bash
-mkdir -p ~/.qwen/skills/my-skill-name
-```
-
-Use personal Skills for:
-
-- Your individual workflows and preferences
-- Experimental Skills you’re developing
-- Personal productivity helpers
-
-### Project Skills
-
-Project Skills are shared with your team. Store them in `.qwen/skills/` within your project:
-
-```bash
-mkdir -p .qwen/skills/my-skill-name
-```
-
-Use project Skills for:
-
-- Team workflows and conventions
-- Project-specific expertise
-- Shared utilities and scripts
-
-Project Skills can be checked into git and automatically become available to teammates.
-
-## Write `SKILL.md`
-
-Create a `SKILL.md` file with YAML frontmatter and Markdown content:
-
-```yaml
----
-name: your-skill-name
-description: Brief description of what this Skill does and when to use it
----
-
-# Your Skill Name
-
-## Instructions
-Provide clear, step-by-step guidance for Qwen Code.
-
-## Examples
-Show concrete examples of using this Skill.
-```
-
-### Field requirements
-
-Qwen Code currently validates that:
-
-- `name` is a non-empty string
-- `description` is a non-empty string
-
-Recommended conventions (not strictly enforced yet):
-
-- Use lowercase letters, numbers, and hyphens in `name`
-- Make `description` specific: include both **what** the Skill does and **when** to use it (key words users will naturally mention)
-
-## Add supporting files
-
-Create additional files alongside `SKILL.md`:
-
-```text
-my-skill/
-├── SKILL.md (required)
-├── reference.md (optional documentation)
-├── examples.md (optional examples)
-├── scripts/
-│   └── helper.py (optional utility)
-└── templates/
-    └── template.txt (optional template)
-```
-
-Reference these files from `SKILL.md`:
-
-````markdown
-For advanced usage, see [reference.md](reference.md).
-
-Run the helper script:
-
-```bash
-python scripts/helper.py input.txt
-```
-````
-
-## View available Skills
-
-When `--experimental-skills` is enabled, Qwen Code discovers Skills from:
-
-- Personal Skills: `~/.qwen/skills/`
-- Project Skills: `.qwen/skills/`
-
-To view available Skills, ask Qwen Code directly:
-
-```text
-What Skills are available?
-```
-
-Or inspect the filesystem:
-
-```bash
-# List personal Skills
-ls ~/.qwen/skills/
-
-# List project Skills (if in a project directory)
-ls .qwen/skills/
-
-# View a specific Skill’s content
-cat ~/.qwen/skills/my-skill/SKILL.md
-```
-
-## Test a Skill
-
-After creating a Skill, test it by asking questions that match your description.
-
-Example: if your description mentions “PDF files”:
-
-```text
-Can you help me extract text from this PDF?
-```
-
-The model autonomously decides to use your Skill if it matches the request — you don’t need to explicitly invoke it.
-
-## Debug a Skill
-
-If Qwen Code doesn’t use your Skill, check these common issues:
-
-### Make the description specific
-
-Too vague:
-
-```yaml
-description: Helps with documents
-```
-
-Specific:
-
-```yaml
-description: Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDFs, forms, or document extraction.
-```
-
-### Verify file path
-
-- Personal Skills: `~/.qwen/skills/<skill-name>/SKILL.md`
-- Project Skills: `.qwen/skills/<skill-name>/SKILL.md`
-
-```bash
-# Personal
-ls ~/.qwen/skills/my-skill/SKILL.md
-
-# Project
-ls .qwen/skills/my-skill/SKILL.md
-```
-
-### Check YAML syntax
-
-Invalid YAML prevents the Skill metadata from loading correctly.
-
-```bash
-cat SKILL.md | head -n 15
-```
-
-Ensure:
-
-- Opening `---` on line 1
-- Closing `---` before Markdown content
-- Valid YAML syntax (no tabs, correct indentation)
-
-### View errors
-
-Run Qwen Code with debug mode to see Skill loading errors:
-
-```bash
-qwen --experimental-skills --debug
-```
-
-## Share Skills with your team
-
-You can share Skills through project repositories:
-
-1. Add the Skill under `.qwen/skills/`
-2. Commit and push
-3. Teammates pull the changes and run with `--experimental-skills`
-
-```bash
-git add .qwen/skills/
-git commit -m "Add team Skill for PDF processing"
-git push
-```
-
-## Update a Skill
-
-Edit `SKILL.md` directly:
-
-```bash
-# Personal Skill
-code ~/.qwen/skills/my-skill/SKILL.md
-
-# Project Skill
-code .qwen/skills/my-skill/SKILL.md
-```
-
-Changes take effect the next time you start Qwen Code. If Qwen Code is already running, restart it to load the updates.
-
-## Remove a Skill
-
-Delete the Skill directory:
-
-```bash
-# Personal
-rm -rf ~/.qwen/skills/my-skill
-
-# Project
-rm -rf .qwen/skills/my-skill
-git commit -m "Remove unused Skill"
-```
-
-## Best practices
-
-### Keep Skills focused
-
-One Skill should address one capability:
-
-- Focused: “PDF form filling”, “Excel analysis”, “Git commit messages”
-- Too broad: “Document processing” (split into smaller Skills)
-
-### Write clear descriptions
-
-Help the model discover when to use Skills by including specific triggers:
-
-```yaml
-description: Analyze Excel spreadsheets, create pivot tables, and generate charts. Use when working with Excel files, spreadsheets, or .xlsx data.
-```
-
-### Test with your team
-
-- Does the Skill activate when expected?
-- Are the instructions clear?
-- Are there missing examples or edge cases?

integration-tests/file-system.test.ts

@@ -202,8 +202,8 @@ describe('file-system', () => {
     const readAttempt = toolLogs.find(
       (log) => log.toolRequest.name === 'read_file',
     );
-    const editAttempt = toolLogs.find(
-      (log) => log.toolRequest.name === 'edit_file',
+    const writeAttempt = toolLogs.find(
+      (log) => log.toolRequest.name === 'write_file',
     );
     const successfulReplace = toolLogs.find(
       (log) => log.toolRequest.name === 'replace' && log.toolRequest.success,
@@ -226,15 +226,15 @@ describe('file-system', () => {
 
     // CRITICAL: Verify that no matter what the model did, it never successfully
     // wrote or replaced anything.
-    if (editAttempt) {
+    if (writeAttempt) {
       console.error(
-        'A edit_file attempt was made when no file should be written.',
+        'A write_file attempt was made when no file should be written.',
       );
       printDebugInfo(rig, result);
     }
     expect(
-      editAttempt,
-      'edit_file should not have been called',
+      writeAttempt,
+      'write_file should not have been called',
     ).toBeUndefined();
 
     if (successfulReplace) {

integration-tests/sdk-typescript/permission-control.test.ts

@@ -952,8 +952,7 @@ describe('Permission Control (E2E)', () => {
         TEST_TIMEOUT,
       );
 
-      // FIXME: This test is flaky and sometimes fails with no tool calls.
-      it.skip(
+      it(
         'should allow read-only tools without restrictions',
         async () => {
           // Create test files for the model to read

package.json

@@ -18,6 +18,9 @@
   "scripts": {
     "start": "cross-env node scripts/start.js",
     "debug": "cross-env DEBUG=1 node --inspect-brk scripts/start.js",
+    "auth:npm": "npx google-artifactregistry-auth",
+    "auth:docker": "gcloud auth configure-docker us-west1-docker.pkg.dev",
+    "auth": "npm run auth:npm && npm run auth:docker",
     "generate": "node scripts/generate-git-commit-info.js",
     "build": "node scripts/build.js",
     "build-and-start": "npm run build && npm run start",
@@ -92,6 +95,7 @@
     "eslint-plugin-react-hooks": "^5.2.0",
     "glob": "^10.5.0",
     "globals": "^16.0.0",
+    "google-artifactregistry-auth": "^3.4.0",
     "husky": "^9.1.7",
     "json": "^11.0.0",
     "lint-staged": "^16.1.6",

packages/cli/package.json

@@ -36,10 +36,10 @@
     "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.6.0"
   },
   "dependencies": {
-    "@google/genai": "1.30.0",
+    "@google/genai": "1.16.0",
     "@iarna/toml": "^2.2.5",
     "@qwen-code/qwen-code-core": "file:../core",
-    "@modelcontextprotocol/sdk": "^1.25.1",
+    "@modelcontextprotocol/sdk": "^1.15.1",
     "@types/update-notifier": "^6.0.8",
     "ansi-regex": "^6.2.2",
     "command-exists": "^1.2.9",

packages/cli/src/config/auth.ts

@@ -26,37 +26,5 @@ export function validateAuthMethod(authMethod: string): string | null {
     return null;
   }
 
-  if (authMethod === AuthType.USE_ANTHROPIC) {
-    const hasApiKey = process.env['ANTHROPIC_API_KEY'];
-    if (!hasApiKey) {
-      return 'ANTHROPIC_API_KEY environment variable not found.';
-    }
-
-    const hasBaseUrl = process.env['ANTHROPIC_BASE_URL'];
-    if (!hasBaseUrl) {
-      return 'ANTHROPIC_BASE_URL environment variable not found.';
-    }
-
-    return null;
-  }
-
-  if (authMethod === AuthType.USE_GEMINI) {
-    const hasApiKey = process.env['GEMINI_API_KEY'];
-    if (!hasApiKey) {
-      return 'GEMINI_API_KEY environment variable not found. Please set it in your .env file or environment variables.';
-    }
-    return null;
-  }
-
-  if (authMethod === AuthType.USE_VERTEX_AI) {
-    const hasApiKey = process.env['GOOGLE_API_KEY'];
-    if (!hasApiKey) {
-      return 'GOOGLE_API_KEY environment variable not found. Please set it in your .env file or environment variables.';
-    }
-
-    process.env['GOOGLE_GENAI_USE_VERTEXAI'] = 'true';
-    return null;
-  }
-
   return 'Invalid auth method selected.';
 }

packages/cli/src/config/config.test.ts

@@ -2114,14 +2114,7 @@ describe('loadCliConfig model selection', () => {
   });
 
   it('always prefers model from argvs', async () => {
-    process.argv = [
-      'node',
-      'script.js',
-      '--auth-type',
-      'openai',
-      '--model',
-      'qwen3-coder-plus',
-    ];
+    process.argv = ['node', 'script.js', '--model', 'qwen3-coder-plus'];
     const argv = await parseArguments({} as Settings);
     const config = await loadCliConfig(
       {
@@ -2141,14 +2134,7 @@ describe('loadCliConfig model selection', () => {
   });
 
   it('selects the model from argvs if provided', async () => {
-    process.argv = [
-      'node',
-      'script.js',
-      '--auth-type',
-      'openai',
-      '--model',
-      'qwen3-coder-plus',
-    ];
+    process.argv = ['node', 'script.js', '--model', 'qwen3-coder-plus'];
     const argv = await parseArguments({} as Settings);
     const config = await loadCliConfig(
       {

packages/cli/src/config/config.ts

@@ -112,7 +112,6 @@ export interface CliArgs {
   allowedMcpServerNames: string[] | undefined;
   allowedTools: string[] | undefined;
   experimentalAcp: boolean | undefined;
-  experimentalSkills: boolean | undefined;
   extensions: string[] | undefined;
   listExtensions: boolean | undefined;
   openaiLogging: boolean | undefined;
@@ -308,11 +307,6 @@ export async function parseArguments(settings: Settings): Promise<CliArgs> {
           type: 'boolean',
           description: 'Starts the agent in ACP mode',
         })
-        .option('experimental-skills', {
-          type: 'boolean',
-          description: 'Enable experimental Skills feature',
-          default: false,
-        })
         .option('channel', {
           type: 'string',
           choices: ['VSCode', 'ACP', 'SDK', 'CI'],
@@ -466,13 +460,7 @@ export async function parseArguments(settings: Settings): Promise<CliArgs> {
         })
         .option('auth-type', {
           type: 'string',
-          choices: [
-            AuthType.USE_OPENAI,
-            AuthType.USE_ANTHROPIC,
-            AuthType.QWEN_OAUTH,
-            AuthType.USE_GEMINI,
-            AuthType.USE_VERTEX_AI,
-          ],
+          choices: [AuthType.USE_OPENAI, AuthType.QWEN_OAUTH],
           description: 'Authentication type',
         })
         .deprecateOption(
@@ -877,30 +865,11 @@ export async function loadCliConfig(
     );
   }
 
-  const selectedAuthType =
-    (argv.authType as AuthType | undefined) ||
-    settings.security?.auth?.selectedType;
-
-  const apiKey =
-    (selectedAuthType === AuthType.USE_OPENAI
-      ? argv.openaiApiKey ||
-        process.env['OPENAI_API_KEY'] ||
-        settings.security?.auth?.apiKey
-      : '') || '';
-  const baseUrl =
-    (selectedAuthType === AuthType.USE_OPENAI
-      ? argv.openaiBaseUrl ||
-        process.env['OPENAI_BASE_URL'] ||
-        settings.security?.auth?.baseUrl
-      : '') || '';
   const resolvedModel =
     argv.model ||
-    (selectedAuthType === AuthType.USE_OPENAI
-      ? process.env['OPENAI_MODEL'] ||
-        process.env['QWEN_MODEL'] ||
-        settings.model?.name
-      : '') ||
-    '';
+    process.env['OPENAI_MODEL'] ||
+    process.env['QWEN_MODEL'] ||
+    settings.model?.name;
 
   const sandboxConfig = await loadSandboxConfig(settings, argv);
   const screenReader =
@@ -982,20 +951,27 @@ export async function loadCliConfig(
     maxSessionTurns:
       argv.maxSessionTurns ?? settings.model?.maxSessionTurns ?? -1,
     experimentalZedIntegration: argv.experimentalAcp || false,
-    experimentalSkills: argv.experimentalSkills || false,
     listExtensions: argv.listExtensions || false,
     extensions: allExtensions,
     blockedMcpServers,
     noBrowser: !!process.env['NO_BROWSER'],
-    authType: selectedAuthType,
+    authType:
+      (argv.authType as AuthType | undefined) ||
+      settings.security?.auth?.selectedType,
     inputFormat,
     outputFormat,
     includePartialMessages,
     generationConfig: {
       ...(settings.model?.generationConfig || {}),
       model: resolvedModel,
-      apiKey,
-      baseUrl,
+      apiKey:
+        argv.openaiApiKey ||
+        process.env['OPENAI_API_KEY'] ||
+        settings.security?.auth?.apiKey,
+      baseUrl:
+        argv.openaiBaseUrl ||
+        process.env['OPENAI_BASE_URL'] ||
+        settings.security?.auth?.baseUrl,
       enableOpenAILogging:
         (typeof argv.openaiLogging === 'undefined'
           ? settings.model?.enableOpenAILogging

packages/cli/src/config/extension.test.ts

@@ -56,17 +56,6 @@ vi.mock('simple-git', () => ({
   }),
 }));
 
-vi.mock('./extensions/github.js', async (importOriginal) => {
-  const actual =
-    await importOriginal<typeof import('./extensions/github.js')>();
-  return {
-    ...actual,
-    downloadFromGitHubRelease: vi
-      .fn()
-      .mockRejectedValue(new Error('Mocked GitHub release download failure')),
-  };
-});
-
 vi.mock('os', async (importOriginal) => {
   const mockedOs = await importOriginal<typeof os>();
   return {

packages/cli/src/config/extensions/update.test.ts

@@ -41,17 +41,6 @@ vi.mock('simple-git', () => ({
   }),
 }));
 
-vi.mock('../extensions/github.js', async (importOriginal) => {
-  const actual =
-    await importOriginal<typeof import('../extensions/github.js')>();
-  return {
-    ...actual,
-    downloadFromGitHubRelease: vi
-      .fn()
-      .mockRejectedValue(new Error('Mocked GitHub release download failure')),
-  };
-});
-
 vi.mock('os', async (importOriginal) => {
   const mockedOs = await importOriginal<typeof os>();
   return {

packages/cli/src/gemini.test.tsx

@@ -461,7 +461,6 @@ describe('gemini.tsx main function kitty protocol', () => {
       allowedMcpServerNames: undefined,
       allowedTools: undefined,
       experimentalAcp: undefined,
-      experimentalSkills: undefined,
       extensions: undefined,
       listExtensions: undefined,
       openaiLogging: undefined,

packages/cli/src/gemini.tsx

@@ -4,8 +4,13 @@
  * SPDX-License-Identifier: Apache-2.0
  */
 
-import type { Config, AuthType } from '@qwen-code/qwen-code-core';
-import { InputFormat, logUserPrompt } from '@qwen-code/qwen-code-core';
+import type { Config } from '@qwen-code/qwen-code-core';
+import {
+  AuthType,
+  getOauthClient,
+  InputFormat,
+  logUserPrompt,
+} from '@qwen-code/qwen-code-core';
 import { render } from 'ink';
 import dns from 'node:dns';
 import os from 'node:os';
@@ -394,6 +399,15 @@ export async function main() {
       initializationResult = await initializeApp(config, settings);
     }
 
+    if (
+      settings.merged.security?.auth?.selectedType ===
+        AuthType.LOGIN_WITH_GOOGLE &&
+      config.isBrowserLaunchSuppressed()
+    ) {
+      // Do oauth before app renders to make copying the link possible.
+      await getOauthClient(settings.merged.security.auth.selectedType, config);
+    }
+
     if (config.getExperimentalZedIntegration()) {
       return runAcpAgent(config, settings, extensions, argv);
     }

packages/cli/src/nonInteractive/io/BaseJsonOutputAdapter.ts

@@ -610,6 +610,8 @@ export abstract class BaseJsonOutputAdapter {
         const errorText = parseAndFormatApiError(
           event.value.error,
           this.config.getContentGeneratorConfig()?.authType,
+          undefined,
+          this.config.getModel(),
         );
         this.appendText(state, errorText, null);
         break;

packages/cli/src/nonInteractiveCli.ts

@@ -221,6 +221,8 @@ export async function runNonInteractive(
               const errorText = parseAndFormatApiError(
                 event.value.error,
                 config.getContentGeneratorConfig()?.authType,
+                undefined,
+                config.getModel(),
               );
               process.stderr.write(`${errorText}\n`);
             }

packages/cli/src/services/McpPromptLoader.test.ts

@@ -28,7 +28,7 @@ const mockPrompt = {
     { name: 'trail', required: false, description: "The animal's trail." },
   ],
   invoke: vi.fn().mockResolvedValue({
-    messages: [{ content: { type: 'text', text: 'Hello, world!' } }],
+    messages: [{ content: { text: 'Hello, world!' } }],
   }),
 };
 

packages/cli/src/services/McpPromptLoader.ts

@@ -123,10 +123,7 @@ export class McpPromptLoader implements ICommandLoader {
                 };
               }
 
-              const firstMessage = result.messages?.[0];
-              const content = firstMessage?.content;
-
-              if (content?.type !== 'text') {
+              if (!result.messages?.[0]?.content?.['text']) {
                 return {
                   type: 'message',
                   messageType: 'error',
@@ -137,7 +134,7 @@ export class McpPromptLoader implements ICommandLoader {
 
               return {
                 type: 'submit_prompt',
-                content: JSON.stringify(content.text),
+                content: JSON.stringify(result.messages[0].content.text),
               };
             } catch (error) {
               return {

packages/cli/src/ui/AppContainer.test.tsx

@@ -23,6 +23,7 @@ import {
 } from '@qwen-code/qwen-code-core';
 import type { LoadedSettings } from '../config/settings.js';
 import type { InitializationResult } from '../core/initializer.js';
+import { useQuotaAndFallback } from './hooks/useQuotaAndFallback.js';
 import { UIStateContext, type UIState } from './contexts/UIStateContext.js';
 import {
   UIActionsContext,
@@ -55,6 +56,7 @@ vi.mock('./App.js', () => ({
   App: TestContextConsumer,
 }));
 
+vi.mock('./hooks/useQuotaAndFallback.js');
 vi.mock('./hooks/useHistoryManager.js');
 vi.mock('./hooks/useThemeCommand.js');
 vi.mock('./auth/useAuth.js');
@@ -120,6 +122,7 @@ describe('AppContainer State Management', () => {
   let mockInitResult: InitializationResult;
 
   // Create typed mocks for all hooks
+  const mockedUseQuotaAndFallback = useQuotaAndFallback as Mock;
   const mockedUseHistory = useHistory as Mock;
   const mockedUseThemeCommand = useThemeCommand as Mock;
   const mockedUseAuthCommand = useAuthCommand as Mock;
@@ -161,6 +164,10 @@ describe('AppContainer State Management', () => {
     capturedUIActions = null!;
 
     // **Provide a default return value for EVERY mocked hook.**
+    mockedUseQuotaAndFallback.mockReturnValue({
+      proQuotaRequest: null,
+      handleProQuotaChoice: vi.fn(),
+    });
     mockedUseHistory.mockReturnValue({
       history: [],
       addItem: vi.fn(),
@@ -560,6 +567,75 @@ describe('AppContainer State Management', () => {
     });
   });
 
+  describe('Quota and Fallback Integration', () => {
+    it('passes a null proQuotaRequest to UIStateContext by default', () => {
+      // The default mock from beforeEach already sets proQuotaRequest to null
+      render(
+        <AppContainer
+          config={mockConfig}
+          settings={mockSettings}
+          version="1.0.0"
+          initializationResult={mockInitResult}
+        />,
+      );
+
+      // Assert that the context value is as expected
+      expect(capturedUIState.proQuotaRequest).toBeNull();
+    });
+
+    it('passes a valid proQuotaRequest to UIStateContext when provided by the hook', () => {
+      // Arrange: Create a mock request object that a UI dialog would receive
+      const mockRequest = {
+        failedModel: 'gemini-pro',
+        fallbackModel: 'gemini-flash',
+        resolve: vi.fn(),
+      };
+      mockedUseQuotaAndFallback.mockReturnValue({
+        proQuotaRequest: mockRequest,
+        handleProQuotaChoice: vi.fn(),
+      });
+
+      // Act: Render the container
+      render(
+        <AppContainer
+          config={mockConfig}
+          settings={mockSettings}
+          version="1.0.0"
+          initializationResult={mockInitResult}
+        />,
+      );
+
+      // Assert: The mock request is correctly passed through the context
+      expect(capturedUIState.proQuotaRequest).toEqual(mockRequest);
+    });
+
+    it('passes the handleProQuotaChoice function to UIActionsContext', () => {
+      // Arrange: Create a mock handler function
+      const mockHandler = vi.fn();
+      mockedUseQuotaAndFallback.mockReturnValue({
+        proQuotaRequest: null,
+        handleProQuotaChoice: mockHandler,
+      });
+
+      // Act: Render the container
+      render(
+        <AppContainer
+          config={mockConfig}
+          settings={mockSettings}
+          version="1.0.0"
+          initializationResult={mockInitResult}
+        />,
+      );
+
+      // Assert: The action in the context is the mock handler we provided
+      expect(capturedUIActions.handleProQuotaChoice).toBe(mockHandler);
+
+      // You can even verify that the plumbed function is callable
+      capturedUIActions.handleProQuotaChoice('auth');
+      expect(mockHandler).toHaveBeenCalledWith('auth');
+    });
+  });
+
   describe('Terminal Title Update Feature', () => {
     beforeEach(() => {
       // Reset mock stdout for each test

packages/cli/src/ui/AppContainer.tsx

@@ -32,6 +32,7 @@ import {
   type Config,
   type IdeInfo,
   type IdeContext,
+  type UserTierId,
   DEFAULT_GEMINI_FLASH_MODEL,
   IdeClient,
   ideContextStore,
@@ -47,6 +48,7 @@ import { useHistory } from './hooks/useHistoryManager.js';
 import { useMemoryMonitor } from './hooks/useMemoryMonitor.js';
 import { useThemeCommand } from './hooks/useThemeCommand.js';
 import { useAuthCommand } from './auth/useAuth.js';
+import { useQuotaAndFallback } from './hooks/useQuotaAndFallback.js';
 import { useEditorSettings } from './hooks/useEditorSettings.js';
 import { useSettingsCommand } from './hooks/useSettingsCommand.js';
 import { useModelCommand } from './hooks/useModelCommand.js';
@@ -190,6 +192,8 @@ export const AppContainer = (props: AppContainerProps) => {
 
   const [currentModel, setCurrentModel] = useState(getEffectiveModel());
 
+  const [userTier] = useState<UserTierId | undefined>(undefined);
+
   const [isConfigInitialized, setConfigInitialized] = useState(false);
 
   const [userMessages, setUserMessages] = useState<string[]>([]);
@@ -363,6 +367,14 @@ export const AppContainer = (props: AppContainerProps) => {
     cancelAuthentication,
   } = useAuthCommand(settings, config, historyManager.addItem);
 
+  const { proQuotaRequest, handleProQuotaChoice } = useQuotaAndFallback({
+    config,
+    historyManager,
+    userTier,
+    setAuthState,
+    setModelSwitchedFromQuotaError,
+  });
+
   useInitializationAuthError(initializationResult.authError, onAuthError);
 
   // Sync user tier from config when authentication changes
@@ -740,7 +752,8 @@ export const AppContainer = (props: AppContainerProps) => {
     !initError &&
     !isProcessing &&
     (streamingState === StreamingState.Idle ||
-      streamingState === StreamingState.Responding);
+      streamingState === StreamingState.Responding) &&
+    !proQuotaRequest;
 
   const [controlsHeight, setControlsHeight] = useState(0);
 
@@ -1193,6 +1206,7 @@ export const AppContainer = (props: AppContainerProps) => {
     isAuthenticating ||
     isEditorDialogOpen ||
     showIdeRestartPrompt ||
+    !!proQuotaRequest ||
     isSubagentCreateDialogOpen ||
     isAgentsManagerDialogOpen ||
     isApprovalModeDialogOpen ||
@@ -1263,6 +1277,8 @@ export const AppContainer = (props: AppContainerProps) => {
       showWorkspaceMigrationDialog,
       workspaceExtensions,
       currentModel,
+      userTier,
+      proQuotaRequest,
       contextFileNames,
       errorCount,
       availableTerminalHeight,
@@ -1351,6 +1367,8 @@ export const AppContainer = (props: AppContainerProps) => {
       showAutoAcceptIndicator,
       showWorkspaceMigrationDialog,
       workspaceExtensions,
+      userTier,
+      proQuotaRequest,
       contextFileNames,
       errorCount,
       availableTerminalHeight,
@@ -1412,6 +1430,7 @@ export const AppContainer = (props: AppContainerProps) => {
       handleClearScreen,
       onWorkspaceMigrationDialogOpen,
       onWorkspaceMigrationDialogClose,
+      handleProQuotaChoice,
       // Vision switch dialog
       handleVisionSwitchSelect,
       // Welcome back dialog
@@ -1449,6 +1468,7 @@ export const AppContainer = (props: AppContainerProps) => {
       handleClearScreen,
       onWorkspaceMigrationDialogOpen,
       onWorkspaceMigrationDialogClose,
+      handleProQuotaChoice,
       handleVisionSwitchSelect,
       handleWelcomeBackSelection,
       handleWelcomeBackClose,

packages/cli/src/ui/auth/AuthDialog.test.tsx

@@ -168,7 +168,7 @@ describe('AuthDialog', () => {
 
     it('should not show the GEMINI_API_KEY message if QWEN_DEFAULT_AUTH_TYPE is set to something else', () => {
       process.env['GEMINI_API_KEY'] = 'foobar';
-      process.env['QWEN_DEFAULT_AUTH_TYPE'] = AuthType.USE_OPENAI;
+      process.env['QWEN_DEFAULT_AUTH_TYPE'] = AuthType.LOGIN_WITH_GOOGLE;
 
       const settings: LoadedSettings = new LoadedSettings(
         {
@@ -212,7 +212,7 @@ describe('AuthDialog', () => {
 
     it('should show the GEMINI_API_KEY message if QWEN_DEFAULT_AUTH_TYPE is set to use api key', () => {
       process.env['GEMINI_API_KEY'] = 'foobar';
-      process.env['QWEN_DEFAULT_AUTH_TYPE'] = AuthType.USE_OPENAI;
+      process.env['QWEN_DEFAULT_AUTH_TYPE'] = AuthType.USE_GEMINI;
 
       const settings: LoadedSettings = new LoadedSettings(
         {
@@ -504,12 +504,12 @@ describe('AuthDialog', () => {
       },
       {
         settings: {
-          security: { auth: { selectedType: AuthType.USE_OPENAI } },
+          security: { auth: { selectedType: AuthType.LOGIN_WITH_GOOGLE } },
           ui: { customThemes: {} },
           mcpServers: {},
         },
         originalSettings: {
-          security: { auth: { selectedType: AuthType.USE_OPENAI } },
+          security: { auth: { selectedType: AuthType.LOGIN_WITH_GOOGLE } },
           ui: { customThemes: {} },
           mcpServers: {},
         },

packages/cli/src/ui/auth/useAuth.ts

@@ -225,26 +225,16 @@ export const useAuthCommand = (
     const defaultAuthType = process.env['QWEN_DEFAULT_AUTH_TYPE'];
     if (
       defaultAuthType &&
-      ![
-        AuthType.QWEN_OAUTH,
-        AuthType.USE_OPENAI,
-        AuthType.USE_ANTHROPIC,
-        AuthType.USE_GEMINI,
-        AuthType.USE_VERTEX_AI,
-      ].includes(defaultAuthType as AuthType)
+      ![AuthType.QWEN_OAUTH, AuthType.USE_OPENAI].includes(
+        defaultAuthType as AuthType,
+      )
     ) {
       onAuthError(
         t(
           'Invalid QWEN_DEFAULT_AUTH_TYPE value: "{{value}}". Valid values are: {{validValues}}',
           {
             value: defaultAuthType,
-            validValues: [
-              AuthType.QWEN_OAUTH,
-              AuthType.USE_OPENAI,
-              AuthType.USE_ANTHROPIC,
-              AuthType.USE_GEMINI,
-              AuthType.USE_VERTEX_AI,
-            ].join(', '),
+            validValues: [AuthType.QWEN_OAUTH, AuthType.USE_OPENAI].join(', '),
           },
         ),
       );

packages/cli/src/ui/commands/ideCommand.test.ts

@@ -15,6 +15,7 @@ vi.mock('@qwen-code/qwen-code-core', async (importOriginal) => {
   const original = await importOriginal<typeof core>();
   return {
     ...original,
+    getOauthClient: vi.fn(original.getOauthClient),
     getIdeInstaller: vi.fn(original.getIdeInstaller),
     IdeClient: {
       getInstance: vi.fn(),

packages/cli/src/ui/components/DialogManager.tsx

@@ -17,6 +17,7 @@ import { AuthDialog } from '../auth/AuthDialog.js';
 import { OpenAIKeyPrompt } from './OpenAIKeyPrompt.js';
 import { EditorSettingsDialog } from './EditorSettingsDialog.js';
 import { WorkspaceMigrationDialog } from './WorkspaceMigrationDialog.js';
+import { ProQuotaDialog } from './ProQuotaDialog.js';
 import { PermissionsModifyTrustDialog } from './PermissionsModifyTrustDialog.js';
 import { ModelDialog } from './ModelDialog.js';
 import { ApprovalModeDialog } from './ApprovalModeDialog.js';
@@ -86,6 +87,15 @@ export const DialogManager = ({
       />
     );
   }
+  if (uiState.proQuotaRequest) {
+    return (
+      <ProQuotaDialog
+        failedModel={uiState.proQuotaRequest.failedModel}
+        fallbackModel={uiState.proQuotaRequest.fallbackModel}
+        onChoice={uiActions.handleProQuotaChoice}
+      />
+    );
+  }
   if (uiState.shouldShowIdePrompt) {
     return (
       <IdeIntegrationNudge

packages/cli/src/ui/components/ProQuotaDialog.test.tsx

@@ -0,0 +1,91 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import { render } from 'ink-testing-library';
+import { describe, it, expect, vi, beforeEach, type Mock } from 'vitest';
+import { ProQuotaDialog } from './ProQuotaDialog.js';
+import { RadioButtonSelect } from './shared/RadioButtonSelect.js';
+
+// Mock the child component to make it easier to test the parent
+vi.mock('./shared/RadioButtonSelect.js', () => ({
+  RadioButtonSelect: vi.fn(),
+}));
+
+describe('ProQuotaDialog', () => {
+  beforeEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it('should render with correct title and options', () => {
+    const { lastFrame } = render(
+      <ProQuotaDialog
+        failedModel="gemini-2.5-pro"
+        fallbackModel="gemini-2.5-flash"
+        onChoice={() => {}}
+      />,
+    );
+
+    const output = lastFrame();
+    expect(output).toContain('Pro quota limit reached for gemini-2.5-pro.');
+
+    // Check that RadioButtonSelect was called with the correct items
+    expect(RadioButtonSelect).toHaveBeenCalledWith(
+      expect.objectContaining({
+        items: [
+          {
+            label: 'Change auth (executes the /auth command)',
+            value: 'auth',
+            key: 'auth',
+          },
+          {
+            label: `Continue with gemini-2.5-flash`,
+            value: 'continue',
+            key: 'continue',
+          },
+        ],
+      }),
+      undefined,
+    );
+  });
+
+  it('should call onChoice with "auth" when "Change auth" is selected', () => {
+    const mockOnChoice = vi.fn();
+    render(
+      <ProQuotaDialog
+        failedModel="gemini-2.5-pro"
+        fallbackModel="gemini-2.5-flash"
+        onChoice={mockOnChoice}
+      />,
+    );
+
+    // Get the onSelect function passed to RadioButtonSelect
+    const onSelect = (RadioButtonSelect as Mock).mock.calls[0][0].onSelect;
+
+    // Simulate the selection
+    onSelect('auth');
+
+    expect(mockOnChoice).toHaveBeenCalledWith('auth');
+  });
+
+  it('should call onChoice with "continue" when "Continue with flash" is selected', () => {
+    const mockOnChoice = vi.fn();
+    render(
+      <ProQuotaDialog
+        failedModel="gemini-2.5-pro"
+        fallbackModel="gemini-2.5-flash"
+        onChoice={mockOnChoice}
+      />,
+    );
+
+    // Get the onSelect function passed to RadioButtonSelect
+    const onSelect = (RadioButtonSelect as Mock).mock.calls[0][0].onSelect;
+
+    // Simulate the selection
+    onSelect('continue');
+
+    expect(mockOnChoice).toHaveBeenCalledWith('continue');
+  });
+});

packages/cli/src/ui/components/ProQuotaDialog.tsx

@@ -0,0 +1,55 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type React from 'react';
+import { Box, Text } from 'ink';
+import { RadioButtonSelect } from './shared/RadioButtonSelect.js';
+import { theme } from '../semantic-colors.js';
+import { t } from '../../i18n/index.js';
+
+interface ProQuotaDialogProps {
+  failedModel: string;
+  fallbackModel: string;
+  onChoice: (choice: 'auth' | 'continue') => void;
+}
+
+export function ProQuotaDialog({
+  failedModel,
+  fallbackModel,
+  onChoice,
+}: ProQuotaDialogProps): React.JSX.Element {
+  const items = [
+    {
+      label: t('Change auth (executes the /auth command)'),
+      value: 'auth' as const,
+      key: 'auth',
+    },
+    {
+      label: t('Continue with {{model}}', { model: fallbackModel }),
+      value: 'continue' as const,
+      key: 'continue',
+    },
+  ];
+
+  const handleSelect = (choice: 'auth' | 'continue') => {
+    onChoice(choice);
+  };
+
+  return (
+    <Box borderStyle="round" flexDirection="column" paddingX={1}>
+      <Text bold color={theme.status.warning}>
+        {t('Pro quota limit reached for {{model}}.', { model: failedModel })}
+      </Text>
+      <Box marginTop={1}>
+        <RadioButtonSelect
+          items={items}
+          initialIndex={1}
+          onSelect={handleSelect}
+        />
+      </Box>
+    </Box>
+  );
+}

packages/cli/src/ui/contexts/UIActionsContext.tsx

@@ -55,6 +55,7 @@ export interface UIActions {
   handleClearScreen: () => void;
   onWorkspaceMigrationDialogOpen: () => void;
   onWorkspaceMigrationDialogClose: () => void;
+  handleProQuotaChoice: (choice: 'auth' | 'continue') => void;
   // Vision switch dialog
   handleVisionSwitchSelect: (outcome: VisionSwitchOutcome) => void;
   // Welcome back dialog

packages/cli/src/ui/contexts/UIStateContext.tsx

@@ -22,13 +22,21 @@ import type {
   AuthType,
   IdeContext,
   ApprovalMode,
+  UserTierId,
   IdeInfo,
+  FallbackIntent,
 } from '@qwen-code/qwen-code-core';
 import type { DOMElement } from 'ink';
 import type { SessionStatsState } from '../contexts/SessionContext.js';
 import type { ExtensionUpdateState } from '../state/extensions.js';
 import type { UpdateObject } from '../utils/updateCheck.js';
 
+export interface ProQuotaDialogRequest {
+  failedModel: string;
+  fallbackModel: string;
+  resolve: (intent: FallbackIntent) => void;
+}
+
 import { type UseHistoryManagerReturn } from '../hooks/useHistoryManager.js';
 import { type RestartReason } from '../hooks/useIdeTrustListener.js';
 
@@ -91,6 +99,8 @@ export interface UIState {
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   workspaceExtensions: any[]; // Extension[]
   // Quota-related state
+  userTier: UserTierId | undefined;
+  proQuotaRequest: ProQuotaDialogRequest | null;
   currentModel: string;
   contextFileNames: string[];
   errorCount: number;

packages/cli/src/ui/hooks/useGeminiStream.test.tsx

@@ -1323,7 +1323,7 @@ describe('useGeminiStream', () => {
     it('should call parseAndFormatApiError with the correct authType on stream initialization failure', async () => {
       // 1. Setup
       const mockError = new Error('Rate limit exceeded');
-      const mockAuthType = AuthType.USE_VERTEX_AI;
+      const mockAuthType = AuthType.LOGIN_WITH_GOOGLE;
       mockParseAndFormatApiError.mockClear();
       mockSendMessageStream.mockReturnValue(
         (async function* () {
@@ -1374,6 +1374,9 @@ describe('useGeminiStream', () => {
         expect(mockParseAndFormatApiError).toHaveBeenCalledWith(
           'Rate limit exceeded',
           mockAuthType,
+          undefined,
+          'gemini-2.5-pro',
+          'gemini-2.5-flash',
         );
       });
     });
@@ -2490,6 +2493,9 @@ describe('useGeminiStream', () => {
       expect(mockParseAndFormatApiError).toHaveBeenCalledWith(
         { message: 'Test error' },
         expect.any(String),
+        undefined,
+        'gemini-2.5-pro',
+        'gemini-2.5-flash',
       );
     });
   });

packages/cli/src/ui/hooks/useGeminiStream.ts

@@ -26,6 +26,7 @@ import {
   GitService,
   UnauthorizedError,
   UserPromptEvent,
+  DEFAULT_GEMINI_FLASH_MODEL,
   logConversationFinishedEvent,
   ConversationFinishedEvent,
   ApprovalMode,
@@ -526,15 +527,10 @@ export const useGeminiStream = (
         return currentThoughtBuffer;
       }
 
-      let newThoughtBuffer = currentThoughtBuffer + thoughtText;
-
-      const pendingType = pendingHistoryItemRef.current?.type;
-      const isPendingThought =
-        pendingType === 'gemini_thought' ||
-        pendingType === 'gemini_thought_content';
+      const newThoughtBuffer = currentThoughtBuffer + thoughtText;
 
       // If we're not already showing a thought, start a new one
-      if (!isPendingThought) {
+      if (pendingHistoryItemRef.current?.type !== 'gemini_thought') {
         // If there's a pending non-thought item, finalize it first
         if (pendingHistoryItemRef.current) {
           addItem(pendingHistoryItemRef.current, userMessageTimestamp);
@@ -542,37 +538,11 @@ export const useGeminiStream = (
         setPendingHistoryItem({ type: 'gemini_thought', text: '' });
       }
 
-      // Split large thought messages for better rendering performance (same rationale
-      // as regular content streaming). This helps avoid terminal flicker caused by
-      // constantly re-rendering an ever-growing "pending" block.
-      const splitPoint = findLastSafeSplitPoint(newThoughtBuffer);
-      const nextPendingType: 'gemini_thought' | 'gemini_thought_content' =
-        isPendingThought && pendingType === 'gemini_thought_content'
-          ? 'gemini_thought_content'
-          : 'gemini_thought';
-
-      if (splitPoint === newThoughtBuffer.length) {
-        // Update the existing thought message with accumulated content
-        setPendingHistoryItem({
-          type: nextPendingType,
-          text: newThoughtBuffer,
-        });
-      } else {
-        const beforeText = newThoughtBuffer.substring(0, splitPoint);
-        const afterText = newThoughtBuffer.substring(splitPoint);
-        addItem(
-          {
-            type: nextPendingType,
-            text: beforeText,
-          },
-          userMessageTimestamp,
-        );
-        setPendingHistoryItem({
-          type: 'gemini_thought_content',
-          text: afterText,
-        });
-        newThoughtBuffer = afterText;
-      }
+      // Update the existing thought message with accumulated content
+      setPendingHistoryItem({
+        type: 'gemini_thought',
+        text: newThoughtBuffer,
+      });
 
       // Also update the thought state for the loading indicator
       mergeThought(eventValue);
@@ -630,6 +600,9 @@ export const useGeminiStream = (
           text: parseAndFormatApiError(
             eventValue.error,
             config.getContentGeneratorConfig()?.authType,
+            undefined,
+            config.getModel(),
+            DEFAULT_GEMINI_FLASH_MODEL,
           ),
         },
         userMessageTimestamp,
@@ -681,9 +654,6 @@ export const useGeminiStream = (
           'Response stopped due to image safety violations.',
         [FinishReason.UNEXPECTED_TOOL_CALL]:
           'Response stopped due to unexpected tool call.',
-        [FinishReason.IMAGE_PROHIBITED_CONTENT]:
-          'Response stopped due to image prohibited content.',
-        [FinishReason.NO_IMAGE]: 'Response stopped due to no image.',
       };
 
       const message = finishReasonMessages[finishReason];
@@ -800,17 +770,11 @@ export const useGeminiStream = (
       for await (const event of stream) {
         switch (event.type) {
           case ServerGeminiEventType.Thought:
-            // If the thought has a subject, it's a discrete status update rather than
-            // a streamed textual thought, so we update the thought state directly.
-            if (event.value.subject) {
-              setThought(event.value);
-            } else {
-              thoughtBuffer = handleThoughtEvent(
-                event.value,
-                thoughtBuffer,
-                userMessageTimestamp,
-              );
-            }
+            thoughtBuffer = handleThoughtEvent(
+              event.value,
+              thoughtBuffer,
+              userMessageTimestamp,
+            );
             break;
           case ServerGeminiEventType.Content:
             geminiMessageBuffer = handleContentEvent(
@@ -881,7 +845,6 @@ export const useGeminiStream = (
       handleMaxSessionTurnsEvent,
       handleSessionTokenLimitExceededEvent,
       handleCitationEvent,
-      setThought,
     ],
   );
 
@@ -1024,6 +987,9 @@ export const useGeminiStream = (
                 text: parseAndFormatApiError(
                   getErrorMessage(error) || 'Unknown error',
                   config.getContentGeneratorConfig()?.authType,
+                  undefined,
+                  config.getModel(),
+                  DEFAULT_GEMINI_FLASH_MODEL,
                 ),
               },
               userMessageTimestamp,

packages/cli/src/ui/hooks/useQuotaAndFallback.test.ts

@@ -0,0 +1,391 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import {
+  vi,
+  describe,
+  it,
+  expect,
+  beforeEach,
+  afterEach,
+  type Mock,
+} from 'vitest';
+import { act, renderHook } from '@testing-library/react';
+import {
+  type Config,
+  type FallbackModelHandler,
+  UserTierId,
+  AuthType,
+  isGenericQuotaExceededError,
+  isProQuotaExceededError,
+  makeFakeConfig,
+} from '@qwen-code/qwen-code-core';
+import { useQuotaAndFallback } from './useQuotaAndFallback.js';
+import type { UseHistoryManagerReturn } from './useHistoryManager.js';
+import { AuthState, MessageType } from '../types.js';
+
+// Mock the error checking functions from the core package to control test scenarios
+vi.mock('@qwen-code/qwen-code-core', async (importOriginal) => {
+  const original =
+    await importOriginal<typeof import('@qwen-code/qwen-code-core')>();
+  return {
+    ...original,
+    isGenericQuotaExceededError: vi.fn(),
+    isProQuotaExceededError: vi.fn(),
+  };
+});
+
+// Use a type alias for SpyInstance as it's not directly exported
+type SpyInstance = ReturnType<typeof vi.spyOn>;
+
+describe('useQuotaAndFallback', () => {
+  let mockConfig: Config;
+  let mockHistoryManager: UseHistoryManagerReturn;
+  let mockSetAuthState: Mock;
+  let mockSetModelSwitchedFromQuotaError: Mock;
+  let setFallbackHandlerSpy: SpyInstance;
+
+  const mockedIsGenericQuotaExceededError = isGenericQuotaExceededError as Mock;
+  const mockedIsProQuotaExceededError = isProQuotaExceededError as Mock;
+
+  beforeEach(() => {
+    mockConfig = makeFakeConfig();
+
+    // Spy on the method that requires the private field and mock its return.
+    // This is cleaner than modifying the config class for tests.
+    vi.spyOn(mockConfig, 'getContentGeneratorConfig').mockReturnValue({
+      model: 'test-model',
+      authType: AuthType.LOGIN_WITH_GOOGLE,
+    });
+
+    mockHistoryManager = {
+      addItem: vi.fn(),
+      history: [],
+      updateItem: vi.fn(),
+      clearItems: vi.fn(),
+      loadHistory: vi.fn(),
+    };
+    mockSetAuthState = vi.fn();
+    mockSetModelSwitchedFromQuotaError = vi.fn();
+
+    setFallbackHandlerSpy = vi.spyOn(mockConfig, 'setFallbackModelHandler');
+    vi.spyOn(mockConfig, 'setQuotaErrorOccurred');
+
+    mockedIsGenericQuotaExceededError.mockReturnValue(false);
+    mockedIsProQuotaExceededError.mockReturnValue(false);
+  });
+
+  afterEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it('should register a fallback handler on initialization', () => {
+    renderHook(() =>
+      useQuotaAndFallback({
+        config: mockConfig,
+        historyManager: mockHistoryManager,
+        userTier: UserTierId.FREE,
+        setAuthState: mockSetAuthState,
+        setModelSwitchedFromQuotaError: mockSetModelSwitchedFromQuotaError,
+      }),
+    );
+
+    expect(setFallbackHandlerSpy).toHaveBeenCalledTimes(1);
+    expect(setFallbackHandlerSpy.mock.calls[0][0]).toBeInstanceOf(Function);
+  });
+
+  describe('Fallback Handler Logic', () => {
+    // Helper function to render the hook and extract the registered handler
+    const getRegisteredHandler = (
+      userTier: UserTierId = UserTierId.FREE,
+    ): FallbackModelHandler => {
+      renderHook(
+        (props) =>
+          useQuotaAndFallback({
+            config: mockConfig,
+            historyManager: mockHistoryManager,
+            userTier: props.userTier,
+            setAuthState: mockSetAuthState,
+            setModelSwitchedFromQuotaError: mockSetModelSwitchedFromQuotaError,
+          }),
+        { initialProps: { userTier } },
+      );
+      return setFallbackHandlerSpy.mock.calls[0][0] as FallbackModelHandler;
+    };
+
+    it('should return null and take no action if already in fallback mode', async () => {
+      vi.spyOn(mockConfig, 'isInFallbackMode').mockReturnValue(true);
+      const handler = getRegisteredHandler();
+      const result = await handler('gemini-pro', 'gemini-flash', new Error());
+
+      expect(result).toBeNull();
+      expect(mockHistoryManager.addItem).not.toHaveBeenCalled();
+    });
+
+    it('should return null and take no action if authType is not LOGIN_WITH_GOOGLE', async () => {
+      // Override the default mock from beforeEach for this specific test
+      vi.spyOn(mockConfig, 'getContentGeneratorConfig').mockReturnValue({
+        model: 'test-model',
+        authType: AuthType.USE_GEMINI,
+      });
+
+      const handler = getRegisteredHandler();
+      const result = await handler('gemini-pro', 'gemini-flash', new Error());
+
+      expect(result).toBeNull();
+      expect(mockHistoryManager.addItem).not.toHaveBeenCalled();
+    });
+
+    describe('Automatic Fallback Scenarios', () => {
+      const testCases = [
+        {
+          errorType: 'generic',
+          tier: UserTierId.FREE,
+          expectedMessageSnippets: [
+            'Automatically switching from model-A to model-B',
+            'upgrade to a Gemini Code Assist Standard or Enterprise plan',
+          ],
+        },
+        {
+          errorType: 'generic',
+          tier: UserTierId.STANDARD, // Paid tier
+          expectedMessageSnippets: [
+            'Automatically switching from model-A to model-B',
+            'switch to using a paid API key from AI Studio',
+          ],
+        },
+        {
+          errorType: 'other',
+          tier: UserTierId.FREE,
+          expectedMessageSnippets: [
+            'Automatically switching from model-A to model-B for faster responses',
+            'upgrade to a Gemini Code Assist Standard or Enterprise plan',
+          ],
+        },
+        {
+          errorType: 'other',
+          tier: UserTierId.LEGACY, // Paid tier
+          expectedMessageSnippets: [
+            'Automatically switching from model-A to model-B for faster responses',
+            'switch to using a paid API key from AI Studio',
+          ],
+        },
+      ];
+
+      for (const { errorType, tier, expectedMessageSnippets } of testCases) {
+        it(`should handle ${errorType} error for ${tier} tier correctly`, async () => {
+          mockedIsGenericQuotaExceededError.mockReturnValue(
+            errorType === 'generic',
+          );
+
+          const handler = getRegisteredHandler(tier);
+          const result = await handler(
+            'model-A',
+            'model-B',
+            new Error('quota exceeded'),
+          );
+
+          // Automatic fallbacks should return 'stop'
+          expect(result).toBe('stop');
+
+          expect(mockHistoryManager.addItem).toHaveBeenCalledWith(
+            expect.objectContaining({ type: MessageType.INFO }),
+            expect.any(Number),
+          );
+
+          const message = (mockHistoryManager.addItem as Mock).mock.calls[0][0]
+            .text;
+          for (const snippet of expectedMessageSnippets) {
+            expect(message).toContain(snippet);
+          }
+
+          expect(mockSetModelSwitchedFromQuotaError).toHaveBeenCalledWith(true);
+          expect(mockConfig.setQuotaErrorOccurred).toHaveBeenCalledWith(true);
+        });
+      }
+    });
+
+    describe('Interactive Fallback (Pro Quota Error)', () => {
+      beforeEach(() => {
+        mockedIsProQuotaExceededError.mockReturnValue(true);
+      });
+
+      it('should set an interactive request and wait for user choice', async () => {
+        const { result } = renderHook(() =>
+          useQuotaAndFallback({
+            config: mockConfig,
+            historyManager: mockHistoryManager,
+            userTier: UserTierId.FREE,
+            setAuthState: mockSetAuthState,
+            setModelSwitchedFromQuotaError: mockSetModelSwitchedFromQuotaError,
+          }),
+        );
+
+        const handler = setFallbackHandlerSpy.mock
+          .calls[0][0] as FallbackModelHandler;
+
+        // Call the handler but do not await it, to check the intermediate state
+        const promise = handler(
+          'gemini-pro',
+          'gemini-flash',
+          new Error('pro quota'),
+        );
+
+        await act(async () => {});
+
+        // The hook should now have a pending request for the UI to handle
+        expect(result.current.proQuotaRequest).not.toBeNull();
+        expect(result.current.proQuotaRequest?.failedModel).toBe('gemini-pro');
+
+        // Simulate the user choosing to continue with the fallback model
+        act(() => {
+          result.current.handleProQuotaChoice('continue');
+        });
+
+        // The original promise from the handler should now resolve
+        const intent = await promise;
+        expect(intent).toBe('retry');
+
+        // The pending request should be cleared from the state
+        expect(result.current.proQuotaRequest).toBeNull();
+      });
+
+      it('should handle race conditions by stopping subsequent requests', async () => {
+        const { result } = renderHook(() =>
+          useQuotaAndFallback({
+            config: mockConfig,
+            historyManager: mockHistoryManager,
+            userTier: UserTierId.FREE,
+            setAuthState: mockSetAuthState,
+            setModelSwitchedFromQuotaError: mockSetModelSwitchedFromQuotaError,
+          }),
+        );
+
+        const handler = setFallbackHandlerSpy.mock
+          .calls[0][0] as FallbackModelHandler;
+
+        const promise1 = handler(
+          'gemini-pro',
+          'gemini-flash',
+          new Error('pro quota 1'),
+        );
+        await act(async () => {});
+
+        const firstRequest = result.current.proQuotaRequest;
+        expect(firstRequest).not.toBeNull();
+
+        const result2 = await handler(
+          'gemini-pro',
+          'gemini-flash',
+          new Error('pro quota 2'),
+        );
+
+        // The lock should have stopped the second request
+        expect(result2).toBe('stop');
+        expect(result.current.proQuotaRequest).toBe(firstRequest);
+
+        act(() => {
+          result.current.handleProQuotaChoice('continue');
+        });
+
+        const intent1 = await promise1;
+        expect(intent1).toBe('retry');
+        expect(result.current.proQuotaRequest).toBeNull();
+      });
+    });
+  });
+
+  describe('handleProQuotaChoice', () => {
+    beforeEach(() => {
+      mockedIsProQuotaExceededError.mockReturnValue(true);
+    });
+
+    it('should do nothing if there is no pending pro quota request', () => {
+      const { result } = renderHook(() =>
+        useQuotaAndFallback({
+          config: mockConfig,
+          historyManager: mockHistoryManager,
+          userTier: UserTierId.FREE,
+          setAuthState: mockSetAuthState,
+          setModelSwitchedFromQuotaError: mockSetModelSwitchedFromQuotaError,
+        }),
+      );
+
+      act(() => {
+        result.current.handleProQuotaChoice('auth');
+      });
+
+      expect(mockSetAuthState).not.toHaveBeenCalled();
+      expect(mockHistoryManager.addItem).not.toHaveBeenCalled();
+    });
+
+    it('should resolve intent to "auth" and trigger auth state update', async () => {
+      const { result } = renderHook(() =>
+        useQuotaAndFallback({
+          config: mockConfig,
+          historyManager: mockHistoryManager,
+          userTier: UserTierId.FREE,
+          setAuthState: mockSetAuthState,
+          setModelSwitchedFromQuotaError: mockSetModelSwitchedFromQuotaError,
+        }),
+      );
+
+      const handler = setFallbackHandlerSpy.mock
+        .calls[0][0] as FallbackModelHandler;
+      const promise = handler(
+        'gemini-pro',
+        'gemini-flash',
+        new Error('pro quota'),
+      );
+      await act(async () => {}); // Allow state to update
+
+      act(() => {
+        result.current.handleProQuotaChoice('auth');
+      });
+
+      const intent = await promise;
+      expect(intent).toBe('auth');
+      expect(mockSetAuthState).toHaveBeenCalledWith(AuthState.Updating);
+      expect(result.current.proQuotaRequest).toBeNull();
+    });
+
+    it('should resolve intent to "retry" and add info message on continue', async () => {
+      const { result } = renderHook(() =>
+        useQuotaAndFallback({
+          config: mockConfig,
+          historyManager: mockHistoryManager,
+          userTier: UserTierId.FREE,
+          setAuthState: mockSetAuthState,
+          setModelSwitchedFromQuotaError: mockSetModelSwitchedFromQuotaError,
+        }),
+      );
+
+      const handler = setFallbackHandlerSpy.mock
+        .calls[0][0] as FallbackModelHandler;
+      // The first `addItem` call is for the initial quota error message
+      const promise = handler(
+        'gemini-pro',
+        'gemini-flash',
+        new Error('pro quota'),
+      );
+      await act(async () => {}); // Allow state to update
+
+      act(() => {
+        result.current.handleProQuotaChoice('continue');
+      });
+
+      const intent = await promise;
+      expect(intent).toBe('retry');
+      expect(result.current.proQuotaRequest).toBeNull();
+
+      // Check for the second "Switched to fallback model" message
+      expect(mockHistoryManager.addItem).toHaveBeenCalledTimes(2);
+      const lastCall = (mockHistoryManager.addItem as Mock).mock.calls[1][0];
+      expect(lastCall.type).toBe(MessageType.INFO);
+      expect(lastCall.text).toContain('Switched to fallback model.');
+    });
+  });
+});

packages/cli/src/ui/hooks/useQuotaAndFallback.ts

@@ -0,0 +1,175 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import {
+  AuthType,
+  type Config,
+  type FallbackModelHandler,
+  type FallbackIntent,
+  isGenericQuotaExceededError,
+  isProQuotaExceededError,
+  UserTierId,
+} from '@qwen-code/qwen-code-core';
+import { useCallback, useEffect, useRef, useState } from 'react';
+import { type UseHistoryManagerReturn } from './useHistoryManager.js';
+import { AuthState, MessageType } from '../types.js';
+import { type ProQuotaDialogRequest } from '../contexts/UIStateContext.js';
+
+interface UseQuotaAndFallbackArgs {
+  config: Config;
+  historyManager: UseHistoryManagerReturn;
+  userTier: UserTierId | undefined;
+  setAuthState: (state: AuthState) => void;
+  setModelSwitchedFromQuotaError: (value: boolean) => void;
+}
+
+export function useQuotaAndFallback({
+  config,
+  historyManager,
+  userTier,
+  setAuthState,
+  setModelSwitchedFromQuotaError,
+}: UseQuotaAndFallbackArgs) {
+  const [proQuotaRequest, setProQuotaRequest] =
+    useState<ProQuotaDialogRequest | null>(null);
+  const isDialogPending = useRef(false);
+
+  // Set up Flash fallback handler
+  useEffect(() => {
+    const fallbackHandler: FallbackModelHandler = async (
+      failedModel,
+      fallbackModel,
+      error,
+    ): Promise<FallbackIntent | null> => {
+      if (config.isInFallbackMode()) {
+        return null;
+      }
+
+      // Fallbacks are currently only handled for OAuth users.
+      const contentGeneratorConfig = config.getContentGeneratorConfig();
+      if (
+        !contentGeneratorConfig ||
+        contentGeneratorConfig.authType !== AuthType.LOGIN_WITH_GOOGLE
+      ) {
+        return null;
+      }
+
+      // Use actual user tier if available; otherwise, default to FREE tier behavior (safe default)
+      const isPaidTier =
+        userTier === UserTierId.LEGACY || userTier === UserTierId.STANDARD;
+
+      let message: string;
+
+      if (error && isProQuotaExceededError(error)) {
+        // Pro Quota specific messages (Interactive)
+        if (isPaidTier) {
+          message = `⚡ You have reached your daily ${failedModel} quota limit.
+⚡ You can choose to authenticate with a paid API key or continue with the fallback model.
+⚡ To continue accessing the ${failedModel} model today, consider using /auth to switch to using a paid API key from AI Studio at https://aistudio.google.com/apikey`;
+        } else {
+          message = `⚡ You have reached your daily ${failedModel} quota limit.
+⚡ You can choose to authenticate with a paid API key or continue with the fallback model.
+⚡ To increase your limits, upgrade to a Gemini Code Assist Standard or Enterprise plan with higher limits at https://goo.gle/set-up-gemini-code-assist
+⚡ Or you can utilize a Gemini API Key. See: https://goo.gle/gemini-cli-docs-auth#gemini-api-key
+⚡ You can switch authentication methods by typing /auth`;
+        }
+      } else if (error && isGenericQuotaExceededError(error)) {
+        // Generic Quota (Automatic fallback)
+        const actionMessage = `⚡ You have reached your daily quota limit.\n⚡ Automatically switching from ${failedModel} to ${fallbackModel} for the remainder of this session.`;
+
+        if (isPaidTier) {
+          message = `${actionMessage}
+⚡ To continue accessing the ${failedModel} model today, consider using /auth to switch to using a paid API key from AI Studio at https://aistudio.google.com/apikey`;
+        } else {
+          message = `${actionMessage}
+⚡ To increase your limits, upgrade to a Gemini Code Assist Standard or Enterprise plan with higher limits at https://goo.gle/set-up-gemini-code-assist
+⚡ Or you can utilize a Gemini API Key. See: https://goo.gle/gemini-cli-docs-auth#gemini-api-key
+⚡ You can switch authentication methods by typing /auth`;
+        }
+      } else {
+        // Consecutive 429s or other errors (Automatic fallback)
+        const actionMessage = `⚡ Automatically switching from ${failedModel} to ${fallbackModel} for faster responses for the remainder of this session.`;
+
+        if (isPaidTier) {
+          message = `${actionMessage}
+⚡ Possible reasons for this are that you have received multiple consecutive capacity errors or you have reached your daily ${failedModel} quota limit
+⚡ To continue accessing the ${failedModel} model today, consider using /auth to switch to using a paid API key from AI Studio at https://aistudio.google.com/apikey`;
+        } else {
+          message = `${actionMessage}
+⚡ Possible reasons for this are that you have received multiple consecutive capacity errors or you have reached your daily ${failedModel} quota limit
+⚡ To increase your limits, upgrade to a Gemini Code Assist Standard or Enterprise plan with higher limits at https://goo.gle/set-up-gemini-code-assist
+⚡ Or you can utilize a Gemini API Key. See: https://goo.gle/gemini-cli-docs-auth#gemini-api-key
+⚡ You can switch authentication methods by typing /auth`;
+        }
+      }
+
+      // Add message to UI history
+      historyManager.addItem(
+        {
+          type: MessageType.INFO,
+          text: message,
+        },
+        Date.now(),
+      );
+
+      setModelSwitchedFromQuotaError(true);
+      config.setQuotaErrorOccurred(true);
+
+      // Interactive Fallback for Pro quota
+      if (error && isProQuotaExceededError(error)) {
+        if (isDialogPending.current) {
+          return 'stop'; // A dialog is already active, so just stop this request.
+        }
+        isDialogPending.current = true;
+
+        const intent: FallbackIntent = await new Promise<FallbackIntent>(
+          (resolve) => {
+            setProQuotaRequest({
+              failedModel,
+              fallbackModel,
+              resolve,
+            });
+          },
+        );
+
+        return intent;
+      }
+
+      return 'stop';
+    };
+
+    config.setFallbackModelHandler(fallbackHandler);
+  }, [config, historyManager, userTier, setModelSwitchedFromQuotaError]);
+
+  const handleProQuotaChoice = useCallback(
+    (choice: 'auth' | 'continue') => {
+      if (!proQuotaRequest) return;
+
+      const intent: FallbackIntent = choice === 'auth' ? 'auth' : 'retry';
+      proQuotaRequest.resolve(intent);
+      setProQuotaRequest(null);
+      isDialogPending.current = false; // Reset the flag here
+
+      if (choice === 'auth') {
+        setAuthState(AuthState.Updating);
+      } else {
+        historyManager.addItem(
+          {
+            type: MessageType.INFO,
+            text: 'Switched to fallback model. Tip: Press Ctrl+P (or Up Arrow) to recall your previous prompt and submit it again if you wish.',
+          },
+          Date.now(),
+        );
+      }
+    },
+    [proQuotaRequest, setAuthState, historyManager],
+  );
+
+  return {
+    proQuotaRequest,
+    handleProQuotaChoice,
+  };
+}

packages/cli/src/ui/hooks/useQwenAuth.test.ts

@@ -411,7 +411,7 @@ describe('useQwenAuth', () => {
     expect(geminiResult.current.qwenAuthState.authStatus).toBe('idle');
 
     const { result: oauthResult } = renderHook(() =>
-      useQwenAuth(AuthType.USE_OPENAI, true),
+      useQwenAuth(AuthType.LOGIN_WITH_GOOGLE, true),
     );
     expect(oauthResult.current.qwenAuthState.authStatus).toBe('idle');
   });

packages/cli/src/ui/hooks/useToolScheduler.test.ts

@@ -62,7 +62,7 @@ const mockConfig = {
   getAllowedTools: vi.fn(() => []),
   getContentGeneratorConfig: () => ({
     model: 'test-model',
-    authType: 'gemini-api-key',
+    authType: 'oauth-personal',
   }),
   getUseSmartEdit: () => false,
   getUseModelRouter: () => false,

packages/cli/src/ui/models/availableModels.ts

@@ -60,11 +60,6 @@ export function getOpenAIAvailableModelFromEnv(): AvailableModel | null {
   return id ? { id, label: id } : null;
 }
 
-export function getAnthropicAvailableModelFromEnv(): AvailableModel | null {
-  const id = process.env['ANTHROPIC_MODEL']?.trim();
-  return id ? { id, label: id } : null;
-}
-
 export function getAvailableModelsForAuthType(
   authType: AuthType,
 ): AvailableModel[] {
@@ -75,10 +70,6 @@ export function getAvailableModelsForAuthType(
       const openAIModel = getOpenAIAvailableModelFromEnv();
       return openAIModel ? [openAIModel] : [];
     }
-    case AuthType.USE_ANTHROPIC: {
-      const anthropicModel = getAnthropicAvailableModelFromEnv();
-      return anthropicModel ? [anthropicModel] : [];
-    }
     default:
       // For other auth types, return empty array for now
       // This can be expanded later according to the design doc

packages/cli/src/ui/utils/resumeHistoryUtils.test.ts

@@ -20,11 +20,6 @@ const makeConfig = (tools: Record<string, AnyDeclarativeTool>) =>
     getToolRegistry: () => ({
       getTool: (name: string) => tools[name],
     }),
-    getContentGenerator: () => ({
-      // Default to showing full thinking content during resume unless explicitly
-      // summarized; tests don't care about summarized thinking behavior.
-      useSummarizedThinking: () => false,
-    }),
   }) as unknown as Config;
 
 describe('resumeHistoryUtils', () => {

packages/cli/src/ui/utils/resumeHistoryUtils.ts

@@ -204,11 +204,7 @@ function convertToHistoryItems(
         const parts = record.message?.parts as Part[] | undefined;
 
         // Extract thought content
-        const thoughtText = !config
-          .getContentGenerator()
-          .useSummarizedThinking()
-          ? extractThoughtTextFromParts(parts)
-          : '';
+        const thoughtText = extractThoughtTextFromParts(parts);
 
         // Extract text content (non-function-call, non-thought)
         const text = extractTextFromParts(parts);

packages/cli/src/utils/systemInfo.ts

@@ -153,8 +153,7 @@ export async function getExtendedSystemInfo(
 
   // Get base URL if using OpenAI auth
   const baseUrl =
-    baseInfo.selectedAuthType === AuthType.USE_OPENAI ||
-    baseInfo.selectedAuthType === AuthType.USE_ANTHROPIC
+    baseInfo.selectedAuthType === AuthType.USE_OPENAI
       ? context.services.config?.getContentGeneratorConfig()?.baseUrl
       : undefined;
 

packages/cli/src/validateNonInterActiveAuth.test.ts

@@ -19,9 +19,6 @@ describe('validateNonInterActiveAuth', () => {
   let originalEnvVertexAi: string | undefined;
   let originalEnvGcp: string | undefined;
   let originalEnvOpenAiApiKey: string | undefined;
-  let originalEnvQwenOauth: string | undefined;
-  let originalEnvGoogleApiKey: string | undefined;
-  let originalEnvAnthropicApiKey: string | undefined;
   let consoleErrorSpy: ReturnType<typeof vi.spyOn>;
   let processExitSpy: ReturnType<typeof vi.spyOn<[code?: number], never>>;
   let refreshAuthMock: ReturnType<typeof vi.fn>;
@@ -32,16 +29,10 @@ describe('validateNonInterActiveAuth', () => {
     originalEnvVertexAi = process.env['GOOGLE_GENAI_USE_VERTEXAI'];
     originalEnvGcp = process.env['GOOGLE_GENAI_USE_GCA'];
     originalEnvOpenAiApiKey = process.env['OPENAI_API_KEY'];
-    originalEnvQwenOauth = process.env['QWEN_OAUTH'];
-    originalEnvGoogleApiKey = process.env['GOOGLE_API_KEY'];
-    originalEnvAnthropicApiKey = process.env['ANTHROPIC_API_KEY'];
     delete process.env['GEMINI_API_KEY'];
     delete process.env['GOOGLE_GENAI_USE_VERTEXAI'];
     delete process.env['GOOGLE_GENAI_USE_GCA'];
     delete process.env['OPENAI_API_KEY'];
-    delete process.env['QWEN_OAUTH'];
-    delete process.env['GOOGLE_API_KEY'];
-    delete process.env['ANTHROPIC_API_KEY'];
     consoleErrorSpy = vi.spyOn(console, 'error').mockImplementation(() => {});
     processExitSpy = vi.spyOn(process, 'exit').mockImplementation((code) => {
       throw new Error(`process.exit(${code}) called`);
@@ -89,21 +80,6 @@ describe('validateNonInterActiveAuth', () => {
     } else {
       delete process.env['OPENAI_API_KEY'];
     }
-    if (originalEnvQwenOauth !== undefined) {
-      process.env['QWEN_OAUTH'] = originalEnvQwenOauth;
-    } else {
-      delete process.env['QWEN_OAUTH'];
-    }
-    if (originalEnvGoogleApiKey !== undefined) {
-      process.env['GOOGLE_API_KEY'] = originalEnvGoogleApiKey;
-    } else {
-      delete process.env['GOOGLE_API_KEY'];
-    }
-    if (originalEnvAnthropicApiKey !== undefined) {
-      process.env['ANTHROPIC_API_KEY'] = originalEnvAnthropicApiKey;
-    } else {
-      delete process.env['ANTHROPIC_API_KEY'];
-    }
     vi.restoreAllMocks();
   });
 

packages/cli/src/validateNonInterActiveAuth.ts

@@ -21,16 +21,6 @@ function getAuthTypeFromEnv(): AuthType | undefined {
     return AuthType.QWEN_OAUTH;
   }
 
-  if (process.env['GEMINI_API_KEY']) {
-    return AuthType.USE_GEMINI;
-  }
-  if (process.env['GOOGLE_API_KEY']) {
-    return AuthType.USE_VERTEX_AI;
-  }
-  if (process.env['ANTHROPIC_API_KEY']) {
-    return AuthType.USE_ANTHROPIC;
-  }
-
   return undefined;
 }
 

packages/core/package.json

@@ -23,9 +23,8 @@
     "scripts/postinstall.js"
   ],
   "dependencies": {
-    "@anthropic-ai/sdk": "^0.36.1",
-    "@google/genai": "1.30.0",
-    "@modelcontextprotocol/sdk": "^1.25.1",
+    "@google/genai": "1.16.0",
+    "@modelcontextprotocol/sdk": "^1.11.0",
     "@opentelemetry/api": "^1.9.0",
     "async-mutex": "^0.5.0",
     "@opentelemetry/exporter-logs-otlp-grpc": "^0.203.0",
@@ -35,6 +34,7 @@
     "@opentelemetry/exporter-trace-otlp-grpc": "^0.203.0",
     "@opentelemetry/exporter-trace-otlp-http": "^0.203.0",
     "@opentelemetry/instrumentation-http": "^0.203.0",
+    "@opentelemetry/resource-detector-gcp": "^0.40.0",
     "@opentelemetry/sdk-node": "^0.203.0",
     "@types/html-to-text": "^9.0.4",
     "@xterm/headless": "5.5.0",
@@ -48,7 +48,7 @@
     "fdir": "^6.4.6",
     "fzf": "^0.5.2",
     "glob": "^10.5.0",
-    "google-auth-library": "^10.5.0",
+    "google-auth-library": "^9.11.0",
     "html-to-text": "^9.0.5",
     "https-proxy-agent": "^7.0.6",
     "ignore": "^7.0.0",

packages/core/src/code_assist/codeAssist.ts

@@ -0,0 +1,54 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type { ContentGenerator } from '../core/contentGenerator.js';
+import { AuthType } from '../core/contentGenerator.js';
+import { getOauthClient } from './oauth2.js';
+import { setupUser } from './setup.js';
+import type { HttpOptions } from './server.js';
+import { CodeAssistServer } from './server.js';
+import type { Config } from '../config/config.js';
+import { LoggingContentGenerator } from '../core/loggingContentGenerator.js';
+
+export async function createCodeAssistContentGenerator(
+  httpOptions: HttpOptions,
+  authType: AuthType,
+  config: Config,
+  sessionId?: string,
+): Promise<ContentGenerator> {
+  if (
+    authType === AuthType.LOGIN_WITH_GOOGLE ||
+    authType === AuthType.CLOUD_SHELL
+  ) {
+    const authClient = await getOauthClient(authType, config);
+    const userData = await setupUser(authClient);
+    return new CodeAssistServer(
+      authClient,
+      userData.projectId,
+      httpOptions,
+      sessionId,
+      userData.userTier,
+    );
+  }
+
+  throw new Error(`Unsupported authType: ${authType}`);
+}
+
+export function getCodeAssistServer(
+  config: Config,
+): CodeAssistServer | undefined {
+  let server = config.getContentGenerator();
+
+  // Unwrap LoggingContentGenerator if present
+  if (server instanceof LoggingContentGenerator) {
+    server = server.getWrapped();
+  }
+
+  if (!(server instanceof CodeAssistServer)) {
+    return undefined;
+  }
+  return server;
+}

packages/core/src/code_assist/converter.test.ts

@@ -0,0 +1,456 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import { describe, it, expect } from 'vitest';
+import type { CaGenerateContentResponse } from './converter.js';
+import {
+  toGenerateContentRequest,
+  fromGenerateContentResponse,
+  toContents,
+} from './converter.js';
+import type {
+  ContentListUnion,
+  GenerateContentParameters,
+} from '@google/genai';
+import {
+  GenerateContentResponse,
+  FinishReason,
+  BlockedReason,
+  type Part,
+} from '@google/genai';
+
+describe('converter', () => {
+  describe('toCodeAssistRequest', () => {
+    it('should convert a simple request with project', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        'my-project',
+        'my-session',
+      );
+      expect(codeAssistReq).toEqual({
+        model: 'gemini-pro',
+        project: 'my-project',
+        request: {
+          contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
+          systemInstruction: undefined,
+          cachedContent: undefined,
+          tools: undefined,
+          toolConfig: undefined,
+          labels: undefined,
+          safetySettings: undefined,
+          generationConfig: undefined,
+          session_id: 'my-session',
+        },
+        user_prompt_id: 'my-prompt',
+      });
+    });
+
+    it('should convert a request without a project', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        undefined,
+        'my-session',
+      );
+      expect(codeAssistReq).toEqual({
+        model: 'gemini-pro',
+        project: undefined,
+        request: {
+          contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
+          systemInstruction: undefined,
+          cachedContent: undefined,
+          tools: undefined,
+          toolConfig: undefined,
+          labels: undefined,
+          safetySettings: undefined,
+          generationConfig: undefined,
+          session_id: 'my-session',
+        },
+        user_prompt_id: 'my-prompt',
+      });
+    });
+
+    it('should convert a request with sessionId', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        'my-project',
+        'session-123',
+      );
+      expect(codeAssistReq).toEqual({
+        model: 'gemini-pro',
+        project: 'my-project',
+        request: {
+          contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
+          systemInstruction: undefined,
+          cachedContent: undefined,
+          tools: undefined,
+          toolConfig: undefined,
+          labels: undefined,
+          safetySettings: undefined,
+          generationConfig: undefined,
+          session_id: 'session-123',
+        },
+        user_prompt_id: 'my-prompt',
+      });
+    });
+
+    it('should handle string content', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: 'Hello',
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        'my-project',
+        'my-session',
+      );
+      expect(codeAssistReq.request.contents).toEqual([
+        { role: 'user', parts: [{ text: 'Hello' }] },
+      ]);
+    });
+
+    it('should handle Part[] content', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: [{ text: 'Hello' }, { text: 'World' }],
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        'my-project',
+        'my-session',
+      );
+      expect(codeAssistReq.request.contents).toEqual([
+        { role: 'user', parts: [{ text: 'Hello' }] },
+        { role: 'user', parts: [{ text: 'World' }] },
+      ]);
+    });
+
+    it('should handle system instructions', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: 'Hello',
+        config: {
+          systemInstruction: 'You are a helpful assistant.',
+        },
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        'my-project',
+        'my-session',
+      );
+      expect(codeAssistReq.request.systemInstruction).toEqual({
+        role: 'user',
+        parts: [{ text: 'You are a helpful assistant.' }],
+      });
+    });
+
+    it('should handle generation config', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: 'Hello',
+        config: {
+          temperature: 0.8,
+          topK: 40,
+        },
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        'my-project',
+        'my-session',
+      );
+      expect(codeAssistReq.request.generationConfig).toEqual({
+        temperature: 0.8,
+        topK: 40,
+      });
+    });
+
+    it('should handle all generation config fields', () => {
+      const genaiReq: GenerateContentParameters = {
+        model: 'gemini-pro',
+        contents: 'Hello',
+        config: {
+          temperature: 0.1,
+          topP: 0.2,
+          topK: 3,
+          candidateCount: 4,
+          maxOutputTokens: 5,
+          stopSequences: ['a'],
+          responseLogprobs: true,
+          logprobs: 6,
+          presencePenalty: 0.7,
+          frequencyPenalty: 0.8,
+          seed: 9,
+          responseMimeType: 'application/json',
+        },
+      };
+      const codeAssistReq = toGenerateContentRequest(
+        genaiReq,
+        'my-prompt',
+        'my-project',
+        'my-session',
+      );
+      expect(codeAssistReq.request.generationConfig).toEqual({
+        temperature: 0.1,
+        topP: 0.2,
+        topK: 3,
+        candidateCount: 4,
+        maxOutputTokens: 5,
+        stopSequences: ['a'],
+        responseLogprobs: true,
+        logprobs: 6,
+        presencePenalty: 0.7,
+        frequencyPenalty: 0.8,
+        seed: 9,
+        responseMimeType: 'application/json',
+      });
+    });
+  });
+
+  describe('fromCodeAssistResponse', () => {
+    it('should convert a simple response', () => {
+      const codeAssistRes: CaGenerateContentResponse = {
+        response: {
+          candidates: [
+            {
+              index: 0,
+              content: {
+                role: 'model',
+                parts: [{ text: 'Hi there!' }],
+              },
+              finishReason: FinishReason.STOP,
+              safetyRatings: [],
+            },
+          ],
+        },
+      };
+      const genaiRes = fromGenerateContentResponse(codeAssistRes);
+      expect(genaiRes).toBeInstanceOf(GenerateContentResponse);
+      expect(genaiRes.candidates).toEqual(codeAssistRes.response.candidates);
+    });
+
+    it('should handle prompt feedback and usage metadata', () => {
+      const codeAssistRes: CaGenerateContentResponse = {
+        response: {
+          candidates: [],
+          promptFeedback: {
+            blockReason: BlockedReason.SAFETY,
+            safetyRatings: [],
+          },
+          usageMetadata: {
+            promptTokenCount: 10,
+            candidatesTokenCount: 20,
+            totalTokenCount: 30,
+          },
+        },
+      };
+      const genaiRes = fromGenerateContentResponse(codeAssistRes);
+      expect(genaiRes.promptFeedback).toEqual(
+        codeAssistRes.response.promptFeedback,
+      );
+      expect(genaiRes.usageMetadata).toEqual(
+        codeAssistRes.response.usageMetadata,
+      );
+    });
+
+    it('should handle automatic function calling history', () => {
+      const codeAssistRes: CaGenerateContentResponse = {
+        response: {
+          candidates: [],
+          automaticFunctionCallingHistory: [
+            {
+              role: 'model',
+              parts: [
+                {
+                  functionCall: {
+                    name: 'test_function',
+                    args: {
+                      foo: 'bar',
+                    },
+                  },
+                },
+              ],
+            },
+          ],
+        },
+      };
+      const genaiRes = fromGenerateContentResponse(codeAssistRes);
+      expect(genaiRes.automaticFunctionCallingHistory).toEqual(
+        codeAssistRes.response.automaticFunctionCallingHistory,
+      );
+    });
+
+    it('should handle modelVersion', () => {
+      const codeAssistRes: CaGenerateContentResponse = {
+        response: {
+          candidates: [],
+          modelVersion: 'qwen3-coder-plus',
+        },
+      };
+      const genaiRes = fromGenerateContentResponse(codeAssistRes);
+      expect(genaiRes.modelVersion).toEqual('qwen3-coder-plus');
+    });
+  });
+
+  describe('toContents', () => {
+    it('should handle Content', () => {
+      const content: ContentListUnion = {
+        role: 'user',
+        parts: [{ text: 'hello' }],
+      };
+      expect(toContents(content)).toEqual([
+        { role: 'user', parts: [{ text: 'hello' }] },
+      ]);
+    });
+
+    it('should handle array of Contents', () => {
+      const contents: ContentListUnion = [
+        { role: 'user', parts: [{ text: 'hello' }] },
+        { role: 'model', parts: [{ text: 'hi' }] },
+      ];
+      expect(toContents(contents)).toEqual([
+        { role: 'user', parts: [{ text: 'hello' }] },
+        { role: 'model', parts: [{ text: 'hi' }] },
+      ]);
+    });
+
+    it('should handle Part', () => {
+      const part: ContentListUnion = { text: 'a part' };
+      expect(toContents(part)).toEqual([
+        { role: 'user', parts: [{ text: 'a part' }] },
+      ]);
+    });
+
+    it('should handle array of Parts', () => {
+      const parts = [{ text: 'part 1' }, 'part 2'];
+      expect(toContents(parts)).toEqual([
+        { role: 'user', parts: [{ text: 'part 1' }] },
+        { role: 'user', parts: [{ text: 'part 2' }] },
+      ]);
+    });
+
+    it('should handle string', () => {
+      const str: ContentListUnion = 'a string';
+      expect(toContents(str)).toEqual([
+        { role: 'user', parts: [{ text: 'a string' }] },
+      ]);
+    });
+
+    it('should handle array of strings', () => {
+      const strings: ContentListUnion = ['string 1', 'string 2'];
+      expect(toContents(strings)).toEqual([
+        { role: 'user', parts: [{ text: 'string 1' }] },
+        { role: 'user', parts: [{ text: 'string 2' }] },
+      ]);
+    });
+
+    it('should convert thought parts to text parts for API compatibility', () => {
+      const contentWithThought: ContentListUnion = {
+        role: 'model',
+        parts: [
+          { text: 'regular text' },
+          { thought: 'thinking about the problem' } as Part & {
+            thought: string;
+          },
+          { text: 'more text' },
+        ],
+      };
+      expect(toContents(contentWithThought)).toEqual([
+        {
+          role: 'model',
+          parts: [
+            { text: 'regular text' },
+            { text: '[Thought: thinking about the problem]' },
+            { text: 'more text' },
+          ],
+        },
+      ]);
+    });
+
+    it('should combine text and thought for text parts with thoughts', () => {
+      const contentWithTextAndThought: ContentListUnion = {
+        role: 'model',
+        parts: [
+          {
+            text: 'Here is my response',
+            thought: 'I need to be careful here',
+          } as Part & { thought: string },
+        ],
+      };
+      expect(toContents(contentWithTextAndThought)).toEqual([
+        {
+          role: 'model',
+          parts: [
+            {
+              text: 'Here is my response\n[Thought: I need to be careful here]',
+            },
+          ],
+        },
+      ]);
+    });
+
+    it('should preserve non-thought properties while removing thought', () => {
+      const contentWithComplexPart: ContentListUnion = {
+        role: 'model',
+        parts: [
+          {
+            functionCall: { name: 'calculate', args: { x: 5, y: 10 } },
+            thought: 'Performing calculation',
+          } as Part & { thought: string },
+        ],
+      };
+      expect(toContents(contentWithComplexPart)).toEqual([
+        {
+          role: 'model',
+          parts: [
+            {
+              functionCall: { name: 'calculate', args: { x: 5, y: 10 } },
+            },
+          ],
+        },
+      ]);
+    });
+
+    it('should convert invalid text content to valid text part with thought', () => {
+      const contentWithInvalidText: ContentListUnion = {
+        role: 'model',
+        parts: [
+          {
+            text: 123, // Invalid - should be string
+            thought: 'Processing number',
+          } as Part & { thought: string; text: number },
+        ],
+      };
+      expect(toContents(contentWithInvalidText)).toEqual([
+        {
+          role: 'model',
+          parts: [
+            {
+              text: '123\n[Thought: Processing number]',
+            },
+          ],
+        },
+      ]);
+    });
+  });
+});

packages/core/src/code_assist/converter.ts

@@ -0,0 +1,285 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type {
+  Content,
+  ContentListUnion,
+  ContentUnion,
+  GenerateContentConfig,
+  GenerateContentParameters,
+  CountTokensParameters,
+  CountTokensResponse,
+  GenerationConfigRoutingConfig,
+  MediaResolution,
+  Candidate,
+  ModelSelectionConfig,
+  GenerateContentResponsePromptFeedback,
+  GenerateContentResponseUsageMetadata,
+  Part,
+  SafetySetting,
+  PartUnion,
+  SpeechConfigUnion,
+  ThinkingConfig,
+  ToolListUnion,
+  ToolConfig,
+} from '@google/genai';
+import { GenerateContentResponse } from '@google/genai';
+
+export interface CAGenerateContentRequest {
+  model: string;
+  project?: string;
+  user_prompt_id?: string;
+  request: VertexGenerateContentRequest;
+}
+
+interface VertexGenerateContentRequest {
+  contents: Content[];
+  systemInstruction?: Content;
+  cachedContent?: string;
+  tools?: ToolListUnion;
+  toolConfig?: ToolConfig;
+  labels?: Record<string, string>;
+  safetySettings?: SafetySetting[];
+  generationConfig?: VertexGenerationConfig;
+  session_id?: string;
+}
+
+interface VertexGenerationConfig {
+  temperature?: number;
+  topP?: number;
+  topK?: number;
+  candidateCount?: number;
+  maxOutputTokens?: number;
+  stopSequences?: string[];
+  responseLogprobs?: boolean;
+  logprobs?: number;
+  presencePenalty?: number;
+  frequencyPenalty?: number;
+  seed?: number;
+  responseMimeType?: string;
+  responseJsonSchema?: unknown;
+  responseSchema?: unknown;
+  routingConfig?: GenerationConfigRoutingConfig;
+  modelSelectionConfig?: ModelSelectionConfig;
+  responseModalities?: string[];
+  mediaResolution?: MediaResolution;
+  speechConfig?: SpeechConfigUnion;
+  audioTimestamp?: boolean;
+  thinkingConfig?: ThinkingConfig;
+}
+
+export interface CaGenerateContentResponse {
+  response: VertexGenerateContentResponse;
+}
+
+interface VertexGenerateContentResponse {
+  candidates: Candidate[];
+  automaticFunctionCallingHistory?: Content[];
+  promptFeedback?: GenerateContentResponsePromptFeedback;
+  usageMetadata?: GenerateContentResponseUsageMetadata;
+  modelVersion?: string;
+}
+
+export interface CaCountTokenRequest {
+  request: VertexCountTokenRequest;
+}
+
+interface VertexCountTokenRequest {
+  model: string;
+  contents: Content[];
+}
+
+export interface CaCountTokenResponse {
+  totalTokens: number;
+}
+
+export function toCountTokenRequest(
+  req: CountTokensParameters,
+): CaCountTokenRequest {
+  return {
+    request: {
+      model: 'models/' + req.model,
+      contents: toContents(req.contents),
+    },
+  };
+}
+
+export function fromCountTokenResponse(
+  res: CaCountTokenResponse,
+): CountTokensResponse {
+  return {
+    totalTokens: res.totalTokens,
+  };
+}
+
+export function toGenerateContentRequest(
+  req: GenerateContentParameters,
+  userPromptId: string,
+  project?: string,
+  sessionId?: string,
+): CAGenerateContentRequest {
+  return {
+    model: req.model,
+    project,
+    user_prompt_id: userPromptId,
+    request: toVertexGenerateContentRequest(req, sessionId),
+  };
+}
+
+export function fromGenerateContentResponse(
+  res: CaGenerateContentResponse,
+): GenerateContentResponse {
+  const inres = res.response;
+  const out = new GenerateContentResponse();
+  out.candidates = inres.candidates;
+  out.automaticFunctionCallingHistory = inres.automaticFunctionCallingHistory;
+  out.promptFeedback = inres.promptFeedback;
+  out.usageMetadata = inres.usageMetadata;
+  out.modelVersion = inres.modelVersion;
+  return out;
+}
+
+function toVertexGenerateContentRequest(
+  req: GenerateContentParameters,
+  sessionId?: string,
+): VertexGenerateContentRequest {
+  return {
+    contents: toContents(req.contents),
+    systemInstruction: maybeToContent(req.config?.systemInstruction),
+    cachedContent: req.config?.cachedContent,
+    tools: req.config?.tools,
+    toolConfig: req.config?.toolConfig,
+    labels: req.config?.labels,
+    safetySettings: req.config?.safetySettings,
+    generationConfig: toVertexGenerationConfig(req.config),
+    session_id: sessionId,
+  };
+}
+
+export function toContents(contents: ContentListUnion): Content[] {
+  if (Array.isArray(contents)) {
+    // it's a Content[] or a PartsUnion[]
+    return contents.map(toContent);
+  }
+  // it's a Content or a PartsUnion
+  return [toContent(contents)];
+}
+
+function maybeToContent(content?: ContentUnion): Content | undefined {
+  if (!content) {
+    return undefined;
+  }
+  return toContent(content);
+}
+
+function toContent(content: ContentUnion): Content {
+  if (Array.isArray(content)) {
+    // it's a PartsUnion[]
+    return {
+      role: 'user',
+      parts: toParts(content),
+    };
+  }
+  if (typeof content === 'string') {
+    // it's a string
+    return {
+      role: 'user',
+      parts: [{ text: content }],
+    };
+  }
+  if ('parts' in content) {
+    // it's a Content - process parts to handle thought filtering
+    return {
+      ...content,
+      parts: content.parts
+        ? toParts(content.parts.filter((p) => p != null))
+        : [],
+    };
+  }
+  // it's a Part
+  return {
+    role: 'user',
+    parts: [toPart(content as Part)],
+  };
+}
+
+export function toParts(parts: PartUnion[]): Part[] {
+  return parts.map(toPart);
+}
+
+function toPart(part: PartUnion): Part {
+  if (typeof part === 'string') {
+    // it's a string
+    return { text: part };
+  }
+
+  // Handle thought parts for CountToken API compatibility
+  // The CountToken API expects parts to have certain required "oneof" fields initialized,
+  // but thought parts don't conform to this schema and cause API failures
+  if ('thought' in part && part.thought) {
+    const thoughtText = `[Thought: ${part.thought}]`;
+
+    const newPart = { ...part };
+    delete (newPart as Record<string, unknown>)['thought'];
+
+    const hasApiContent =
+      'functionCall' in newPart ||
+      'functionResponse' in newPart ||
+      'inlineData' in newPart ||
+      'fileData' in newPart;
+
+    if (hasApiContent) {
+      // It's a functionCall or other non-text part. Just strip the thought.
+      return newPart;
+    }
+
+    // If no other valid API content, this must be a text part.
+    // Combine existing text (if any) with the thought, preserving other properties.
+    const text = (newPart as { text?: unknown }).text;
+    const existingText = text ? String(text) : '';
+    const combinedText = existingText
+      ? `${existingText}\n${thoughtText}`
+      : thoughtText;
+
+    return {
+      ...newPart,
+      text: combinedText,
+    };
+  }
+
+  return part;
+}
+
+function toVertexGenerationConfig(
+  config?: GenerateContentConfig,
+): VertexGenerationConfig | undefined {
+  if (!config) {
+    return undefined;
+  }
+  return {
+    temperature: config.temperature,
+    topP: config.topP,
+    topK: config.topK,
+    candidateCount: config.candidateCount,
+    maxOutputTokens: config.maxOutputTokens,
+    stopSequences: config.stopSequences,
+    responseLogprobs: config.responseLogprobs,
+    logprobs: config.logprobs,
+    presencePenalty: config.presencePenalty,
+    frequencyPenalty: config.frequencyPenalty,
+    seed: config.seed,
+    responseMimeType: config.responseMimeType,
+    responseSchema: config.responseSchema,
+    responseJsonSchema: config.responseJsonSchema,
+    routingConfig: config.routingConfig,
+    modelSelectionConfig: config.modelSelectionConfig,
+    responseModalities: config.responseModalities,
+    mediaResolution: config.mediaResolution,
+    speechConfig: config.speechConfig,
+    audioTimestamp: config.audioTimestamp,
+    thinkingConfig: config.thinkingConfig,
+  };
+}

packages/core/src/code_assist/oauth-credential-storage.test.ts

@@ -0,0 +1,217 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import { type Credentials } from 'google-auth-library';
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { OAuthCredentialStorage } from './oauth-credential-storage.js';
+import type { OAuthCredentials } from '../mcp/token-storage/types.js';
+
+import * as path from 'node:path';
+import * as os from 'node:os';
+import { promises as fs } from 'node:fs';
+
+// Mock external dependencies
+const mockHybridTokenStorage = vi.hoisted(() => ({
+  getCredentials: vi.fn(),
+  setCredentials: vi.fn(),
+  deleteCredentials: vi.fn(),
+}));
+vi.mock('../mcp/token-storage/hybrid-token-storage.js', () => ({
+  HybridTokenStorage: vi.fn(() => mockHybridTokenStorage),
+}));
+vi.mock('node:fs', () => ({
+  promises: {
+    readFile: vi.fn(),
+    rm: vi.fn(),
+  },
+}));
+vi.mock('node:os');
+vi.mock('node:path');
+
+describe('OAuthCredentialStorage', () => {
+  const mockCredentials: Credentials = {
+    access_token: 'mock_access_token',
+    refresh_token: 'mock_refresh_token',
+    expiry_date: Date.now() + 3600 * 1000,
+    token_type: 'Bearer',
+    scope: 'email profile',
+  };
+
+  const mockMcpCredentials: OAuthCredentials = {
+    serverName: 'main-account',
+    token: {
+      accessToken: 'mock_access_token',
+      refreshToken: 'mock_refresh_token',
+      tokenType: 'Bearer',
+      scope: 'email profile',
+      expiresAt: mockCredentials.expiry_date!,
+    },
+    updatedAt: expect.any(Number),
+  };
+
+  const oldFilePath = '/mock/home/.qwen/oauth.json';
+
+  beforeEach(() => {
+    vi.spyOn(mockHybridTokenStorage, 'getCredentials').mockResolvedValue(null);
+    vi.spyOn(mockHybridTokenStorage, 'setCredentials').mockResolvedValue(
+      undefined,
+    );
+    vi.spyOn(mockHybridTokenStorage, 'deleteCredentials').mockResolvedValue(
+      undefined,
+    );
+
+    vi.spyOn(fs, 'readFile').mockRejectedValue(new Error('File not found'));
+    vi.spyOn(fs, 'rm').mockResolvedValue(undefined);
+
+    vi.spyOn(os, 'homedir').mockReturnValue('/mock/home');
+    vi.spyOn(path, 'join').mockReturnValue(oldFilePath);
+  });
+
+  afterEach(() => {
+    vi.restoreAllMocks();
+  });
+
+  describe('loadCredentials', () => {
+    it('should load credentials from HybridTokenStorage if available', async () => {
+      vi.spyOn(mockHybridTokenStorage, 'getCredentials').mockResolvedValue(
+        mockMcpCredentials,
+      );
+
+      const result = await OAuthCredentialStorage.loadCredentials();
+
+      expect(mockHybridTokenStorage.getCredentials).toHaveBeenCalledWith(
+        'main-account',
+      );
+      expect(result).toEqual(mockCredentials);
+    });
+
+    it('should fallback to migrateFromFileStorage if no credentials in HybridTokenStorage', async () => {
+      vi.spyOn(mockHybridTokenStorage, 'getCredentials').mockResolvedValue(
+        null,
+      );
+      vi.spyOn(fs, 'readFile').mockResolvedValue(
+        JSON.stringify(mockCredentials),
+      );
+
+      const result = await OAuthCredentialStorage.loadCredentials();
+
+      expect(mockHybridTokenStorage.getCredentials).toHaveBeenCalledWith(
+        'main-account',
+      );
+      expect(fs.readFile).toHaveBeenCalledWith(oldFilePath, 'utf-8');
+      expect(mockHybridTokenStorage.setCredentials).toHaveBeenCalled(); // Verify credentials were saved
+      expect(fs.rm).toHaveBeenCalledWith(oldFilePath, { force: true }); // Verify old file was removed
+      expect(result).toEqual(mockCredentials);
+    });
+
+    it('should return null if no credentials found and no old file to migrate', async () => {
+      vi.spyOn(fs, 'readFile').mockRejectedValue({
+        message: 'File not found',
+        code: 'ENOENT',
+      });
+
+      const result = await OAuthCredentialStorage.loadCredentials();
+
+      expect(result).toBeNull();
+    });
+
+    it('should throw an error if loading fails', async () => {
+      vi.spyOn(mockHybridTokenStorage, 'getCredentials').mockRejectedValue(
+        new Error('Loading error'),
+      );
+
+      await expect(OAuthCredentialStorage.loadCredentials()).rejects.toThrow(
+        'Failed to load OAuth credentials',
+      );
+    });
+
+    it('should throw an error if read file fails', async () => {
+      vi.spyOn(mockHybridTokenStorage, 'getCredentials').mockResolvedValue(
+        null,
+      );
+      vi.spyOn(fs, 'readFile').mockRejectedValue(
+        new Error('Permission denied'),
+      );
+
+      await expect(OAuthCredentialStorage.loadCredentials()).rejects.toThrow(
+        'Failed to load OAuth credentials',
+      );
+    });
+
+    it('should not throw error if migration file removal failed', async () => {
+      vi.spyOn(mockHybridTokenStorage, 'getCredentials').mockResolvedValue(
+        null,
+      );
+      vi.spyOn(fs, 'readFile').mockResolvedValue(
+        JSON.stringify(mockCredentials),
+      );
+      vi.spyOn(OAuthCredentialStorage, 'saveCredentials').mockResolvedValue(
+        undefined,
+      );
+      vi.spyOn(fs, 'rm').mockRejectedValue(new Error('Deletion failed'));
+
+      const result = await OAuthCredentialStorage.loadCredentials();
+
+      expect(result).toEqual(mockCredentials);
+    });
+  });
+
+  describe('saveCredentials', () => {
+    it('should save credentials to HybridTokenStorage', async () => {
+      await OAuthCredentialStorage.saveCredentials(mockCredentials);
+
+      expect(mockHybridTokenStorage.setCredentials).toHaveBeenCalledWith(
+        mockMcpCredentials,
+      );
+    });
+
+    it('should throw an error if access_token is missing', async () => {
+      const invalidCredentials: Credentials = {
+        ...mockCredentials,
+        access_token: undefined,
+      };
+      await expect(
+        OAuthCredentialStorage.saveCredentials(invalidCredentials),
+      ).rejects.toThrow(
+        'Attempted to save credentials without an access token.',
+      );
+    });
+  });
+
+  describe('clearCredentials', () => {
+    it('should delete credentials from HybridTokenStorage', async () => {
+      await OAuthCredentialStorage.clearCredentials();
+
+      expect(mockHybridTokenStorage.deleteCredentials).toHaveBeenCalledWith(
+        'main-account',
+      );
+    });
+
+    it('should attempt to remove the old file-based storage', async () => {
+      await OAuthCredentialStorage.clearCredentials();
+
+      expect(fs.rm).toHaveBeenCalledWith(oldFilePath, { force: true });
+    });
+
+    it('should not throw an error if deleting old file fails', async () => {
+      vi.spyOn(fs, 'rm').mockRejectedValue(new Error('File deletion failed'));
+
+      await expect(
+        OAuthCredentialStorage.clearCredentials(),
+      ).resolves.toBeUndefined();
+    });
+
+    it('should throw an error if clearing from HybridTokenStorage fails', async () => {
+      vi.spyOn(mockHybridTokenStorage, 'deleteCredentials').mockRejectedValue(
+        new Error('Deletion error'),
+      );
+
+      await expect(OAuthCredentialStorage.clearCredentials()).rejects.toThrow(
+        'Failed to clear OAuth credentials',
+      );
+    });
+  });
+});

packages/core/src/code_assist/oauth-credential-storage.ts

@@ -0,0 +1,130 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import { type Credentials } from 'google-auth-library';
+import { HybridTokenStorage } from '../mcp/token-storage/hybrid-token-storage.js';
+import { OAUTH_FILE } from '../config/storage.js';
+import type { OAuthCredentials } from '../mcp/token-storage/types.js';
+import * as path from 'node:path';
+import * as os from 'node:os';
+import { promises as fs } from 'node:fs';
+
+const QWEN_DIR = '.qwen';
+const KEYCHAIN_SERVICE_NAME = 'qwen-code-oauth';
+const MAIN_ACCOUNT_KEY = 'main-account';
+
+export class OAuthCredentialStorage {
+  private static storage: HybridTokenStorage = new HybridTokenStorage(
+    KEYCHAIN_SERVICE_NAME,
+  );
+
+  /**
+   * Load cached OAuth credentials
+   */
+  static async loadCredentials(): Promise<Credentials | null> {
+    try {
+      const credentials = await this.storage.getCredentials(MAIN_ACCOUNT_KEY);
+
+      if (credentials?.token) {
+        const { accessToken, refreshToken, expiresAt, tokenType, scope } =
+          credentials.token;
+        // Convert from OAuthCredentials format to Google Credentials format
+        const googleCreds: Credentials = {
+          access_token: accessToken,
+          refresh_token: refreshToken || undefined,
+          token_type: tokenType || undefined,
+          scope: scope || undefined,
+        };
+
+        if (expiresAt) {
+          googleCreds.expiry_date = expiresAt;
+        }
+
+        return googleCreds;
+      }
+
+      // Fallback: Try to migrate from old file-based storage
+      return await this.migrateFromFileStorage();
+    } catch (error: unknown) {
+      console.error(error);
+      throw new Error('Failed to load OAuth credentials');
+    }
+  }
+
+  /**
+   * Save OAuth credentials
+   */
+  static async saveCredentials(credentials: Credentials): Promise<void> {
+    if (!credentials.access_token) {
+      throw new Error('Attempted to save credentials without an access token.');
+    }
+
+    // Convert Google Credentials to OAuthCredentials format
+    const mcpCredentials: OAuthCredentials = {
+      serverName: MAIN_ACCOUNT_KEY,
+      token: {
+        accessToken: credentials.access_token,
+        refreshToken: credentials.refresh_token || undefined,
+        tokenType: credentials.token_type || 'Bearer',
+        scope: credentials.scope || undefined,
+        expiresAt: credentials.expiry_date || undefined,
+      },
+      updatedAt: Date.now(),
+    };
+
+    await this.storage.setCredentials(mcpCredentials);
+  }
+
+  /**
+   * Clear cached OAuth credentials
+   */
+  static async clearCredentials(): Promise<void> {
+    try {
+      await this.storage.deleteCredentials(MAIN_ACCOUNT_KEY);
+
+      // Also try to remove the old file if it exists
+      const oldFilePath = path.join(os.homedir(), QWEN_DIR, OAUTH_FILE);
+      await fs.rm(oldFilePath, { force: true }).catch(() => {});
+    } catch (error: unknown) {
+      console.error(error);
+      throw new Error('Failed to clear OAuth credentials');
+    }
+  }
+
+  /**
+   * Migrate credentials from old file-based storage to keychain
+   */
+  private static async migrateFromFileStorage(): Promise<Credentials | null> {
+    const oldFilePath = path.join(os.homedir(), QWEN_DIR, OAUTH_FILE);
+
+    let credsJson: string;
+    try {
+      credsJson = await fs.readFile(oldFilePath, 'utf-8');
+    } catch (error: unknown) {
+      if (
+        typeof error === 'object' &&
+        error !== null &&
+        'code' in error &&
+        error.code === 'ENOENT'
+      ) {
+        // File doesn't exist, so no migration.
+        return null;
+      }
+      // Other read errors should propagate.
+      throw error;
+    }
+
+    const credentials = JSON.parse(credsJson) as Credentials;
+
+    // Save to new storage
+    await this.saveCredentials(credentials);
+
+    // Remove old file after successful migration
+    await fs.rm(oldFilePath, { force: true }).catch(() => {});
+
+    return credentials;
+  }
+}

packages/core/src/code_assist/oauth2.ts

@@ -0,0 +1,563 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type { Credentials } from 'google-auth-library';
+import {
+  CodeChallengeMethod,
+  Compute,
+  OAuth2Client,
+} from 'google-auth-library';
+import crypto from 'node:crypto';
+import { promises as fs } from 'node:fs';
+import * as http from 'node:http';
+import * as net from 'node:net';
+import path from 'node:path';
+import readline from 'node:readline';
+import url from 'node:url';
+import open from 'open';
+import type { Config } from '../config/config.js';
+import { Storage } from '../config/storage.js';
+import { AuthType } from '../core/contentGenerator.js';
+import { FatalAuthenticationError, getErrorMessage } from '../utils/errors.js';
+import { UserAccountManager } from '../utils/userAccountManager.js';
+import { OAuthCredentialStorage } from './oauth-credential-storage.js';
+import { FORCE_ENCRYPTED_FILE_ENV_VAR } from '../mcp/token-storage/index.js';
+
+const userAccountManager = new UserAccountManager();
+
+//  OAuth Client ID used to initiate OAuth2Client class.
+const OAUTH_CLIENT_ID =
+  '681255809395-oo8ft2oprdrnp9e3aqf6av3hmdib135j.apps.googleusercontent.com';
+
+// OAuth Secret value used to initiate OAuth2Client class.
+// Note: It's ok to save this in git because this is an installed application
+// as described here: https://developers.google.com/identity/protocols/oauth2#installed
+// "The process results in a client ID and, in some cases, a client secret,
+// which you embed in the source code of your application. (In this context,
+// the client secret is obviously not treated as a secret.)"
+const OAUTH_CLIENT_SECRET = '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';
+
+// OAuth Scopes for Cloud Code authorization.
+const OAUTH_SCOPE = [
+  'https://www.googleapis.com/auth/cloud-platform',
+  'https://www.googleapis.com/auth/userinfo.email',
+  'https://www.googleapis.com/auth/userinfo.profile',
+];
+
+const HTTP_REDIRECT = 301;
+const SIGN_IN_SUCCESS_URL =
+  'https://developers.google.com/gemini-code-assist/auth_success_gemini';
+const SIGN_IN_FAILURE_URL =
+  'https://developers.google.com/gemini-code-assist/auth_failure_gemini';
+
+/**
+ * An Authentication URL for updating the credentials of a Oauth2Client
+ * as well as a promise that will resolve when the credentials have
+ * been refreshed (or which throws error when refreshing credentials failed).
+ */
+export interface OauthWebLogin {
+  authUrl: string;
+  loginCompletePromise: Promise<void>;
+}
+
+const oauthClientPromises = new Map<AuthType, Promise<OAuth2Client>>();
+
+function getUseEncryptedStorageFlag() {
+  return process.env[FORCE_ENCRYPTED_FILE_ENV_VAR] === 'true';
+}
+
+async function initOauthClient(
+  authType: AuthType,
+  config: Config,
+): Promise<OAuth2Client> {
+  const client = new OAuth2Client({
+    clientId: OAUTH_CLIENT_ID,
+    clientSecret: OAUTH_CLIENT_SECRET,
+    transporterOptions: {
+      proxy: config.getProxy(),
+    },
+  });
+  const useEncryptedStorage = getUseEncryptedStorageFlag();
+
+  if (
+    process.env['GOOGLE_GENAI_USE_GCA'] &&
+    process.env['GOOGLE_CLOUD_ACCESS_TOKEN']
+  ) {
+    client.setCredentials({
+      access_token: process.env['GOOGLE_CLOUD_ACCESS_TOKEN'],
+    });
+    await fetchAndCacheUserInfo(client);
+    return client;
+  }
+
+  client.on('tokens', async (tokens: Credentials) => {
+    if (useEncryptedStorage) {
+      await OAuthCredentialStorage.saveCredentials(tokens);
+    } else {
+      await cacheCredentials(tokens);
+    }
+  });
+
+  // If there are cached creds on disk, they always take precedence
+  if (await loadCachedCredentials(client)) {
+    // Found valid cached credentials.
+    // Check if we need to retrieve Google Account ID or Email
+    if (!userAccountManager.getCachedGoogleAccount()) {
+      try {
+        await fetchAndCacheUserInfo(client);
+      } catch (error) {
+        // Non-fatal, continue with existing auth.
+        console.warn('Failed to fetch user info:', getErrorMessage(error));
+      }
+    }
+    console.log('Loaded cached credentials.');
+    return client;
+  }
+
+  // In Google Cloud Shell, we can use Application Default Credentials (ADC)
+  // provided via its metadata server to authenticate non-interactively using
+  // the identity of the user logged into Cloud Shell.
+  if (authType === AuthType.CLOUD_SHELL) {
+    try {
+      console.log("Attempting to authenticate via Cloud Shell VM's ADC.");
+      const computeClient = new Compute({
+        // We can leave this empty, since the metadata server will provide
+        // the service account email.
+      });
+      await computeClient.getAccessToken();
+      console.log('Authentication successful.');
+
+      // Do not cache creds in this case; note that Compute client will handle its own refresh
+      return computeClient;
+    } catch (e) {
+      throw new Error(
+        `Could not authenticate using Cloud Shell credentials. Please select a different authentication method or ensure you are in a properly configured environment. Error: ${getErrorMessage(
+          e,
+        )}`,
+      );
+    }
+  }
+
+  if (config.isBrowserLaunchSuppressed()) {
+    let success = false;
+    const maxRetries = 2;
+    for (let i = 0; !success && i < maxRetries; i++) {
+      success = await authWithUserCode(client);
+      if (!success) {
+        console.error(
+          '\nFailed to authenticate with user code.',
+          i === maxRetries - 1 ? '' : 'Retrying...\n',
+        );
+      }
+    }
+    if (!success) {
+      throw new FatalAuthenticationError(
+        'Failed to authenticate with user code.',
+      );
+    }
+  } else {
+    const webLogin = await authWithWeb(client);
+
+    console.log(
+      `\n\nCode Assist login required.\n` +
+        `Attempting to open authentication page in your browser.\n` +
+        `Otherwise navigate to:\n\n${webLogin.authUrl}\n\n`,
+    );
+    try {
+      // Attempt to open the authentication URL in the default browser.
+      // We do not use the `wait` option here because the main script's execution
+      // is already paused by `loginCompletePromise`, which awaits the server callback.
+      const childProcess = await open(webLogin.authUrl);
+
+      // IMPORTANT: Attach an error handler to the returned child process.
+      // Without this, if `open` fails to spawn a process (e.g., `xdg-open` is not found
+      // in a minimal Docker container), it will emit an unhandled 'error' event,
+      // causing the entire Node.js process to crash.
+      childProcess.on('error', (error) => {
+        console.error(
+          'Failed to open browser automatically. Please try running again with NO_BROWSER=true set.',
+        );
+        console.error('Browser error details:', getErrorMessage(error));
+      });
+    } catch (err) {
+      console.error(
+        'An unexpected error occurred while trying to open the browser:',
+        getErrorMessage(err),
+        '\nThis might be due to browser compatibility issues or system configuration.',
+        '\nPlease try running again with NO_BROWSER=true set for manual authentication.',
+      );
+      throw new FatalAuthenticationError(
+        `Failed to open browser: ${getErrorMessage(err)}`,
+      );
+    }
+    console.log('Waiting for authentication...');
+
+    // Add timeout to prevent infinite waiting when browser tab gets stuck
+    const authTimeout = 5 * 60 * 1000; // 5 minutes timeout
+    const timeoutPromise = new Promise<never>((_, reject) => {
+      setTimeout(() => {
+        reject(
+          new FatalAuthenticationError(
+            'Authentication timed out after 5 minutes. The browser tab may have gotten stuck in a loading state. ' +
+              'Please try again or use NO_BROWSER=true for manual authentication.',
+          ),
+        );
+      }, authTimeout);
+    });
+
+    await Promise.race([webLogin.loginCompletePromise, timeoutPromise]);
+  }
+
+  return client;
+}
+
+export async function getOauthClient(
+  authType: AuthType,
+  config: Config,
+): Promise<OAuth2Client> {
+  if (!oauthClientPromises.has(authType)) {
+    oauthClientPromises.set(authType, initOauthClient(authType, config));
+  }
+  return oauthClientPromises.get(authType)!;
+}
+
+async function authWithUserCode(client: OAuth2Client): Promise<boolean> {
+  const redirectUri = 'https://codeassist.google.com/authcode';
+  const codeVerifier = await client.generateCodeVerifierAsync();
+  const state = crypto.randomBytes(32).toString('hex');
+  const authUrl: string = client.generateAuthUrl({
+    redirect_uri: redirectUri,
+    access_type: 'offline',
+    scope: OAUTH_SCOPE,
+    code_challenge_method: CodeChallengeMethod.S256,
+    code_challenge: codeVerifier.codeChallenge,
+    state,
+  });
+  console.log('Please visit the following URL to authorize the application:');
+  console.log('');
+  console.log(authUrl);
+  console.log('');
+
+  const code = await new Promise<string>((resolve) => {
+    const rl = readline.createInterface({
+      input: process.stdin,
+      output: process.stdout,
+    });
+    rl.question('Enter the authorization code: ', (code) => {
+      rl.close();
+      resolve(code.trim());
+    });
+  });
+
+  if (!code) {
+    console.error('Authorization code is required.');
+    return false;
+  }
+
+  try {
+    const { tokens } = await client.getToken({
+      code,
+      codeVerifier: codeVerifier.codeVerifier,
+      redirect_uri: redirectUri,
+    });
+    client.setCredentials(tokens);
+  } catch (error) {
+    console.error(
+      'Failed to authenticate with authorization code:',
+      getErrorMessage(error),
+    );
+    return false;
+  }
+  return true;
+}
+
+async function authWithWeb(client: OAuth2Client): Promise<OauthWebLogin> {
+  const port = await getAvailablePort();
+  // The hostname used for the HTTP server binding (e.g., '0.0.0.0' in Docker).
+  const host = process.env['OAUTH_CALLBACK_HOST'] || 'localhost';
+  // The `redirectUri` sent to Google's authorization server MUST use a loopback IP literal
+  // (i.e., 'localhost' or '127.0.0.1'). This is a strict security policy for credentials of
+  // type 'Desktop app' or 'Web application' (when using loopback flow) to mitigate
+  // authorization code interception attacks.
+  const redirectUri = `http://localhost:${port}/oauth2callback`;
+  const state = crypto.randomBytes(32).toString('hex');
+  const authUrl = client.generateAuthUrl({
+    redirect_uri: redirectUri,
+    access_type: 'offline',
+    scope: OAUTH_SCOPE,
+    state,
+  });
+
+  const loginCompletePromise = new Promise<void>((resolve, reject) => {
+    const server = http.createServer(async (req, res) => {
+      try {
+        if (req.url!.indexOf('/oauth2callback') === -1) {
+          res.writeHead(HTTP_REDIRECT, { Location: SIGN_IN_FAILURE_URL });
+          res.end();
+          reject(
+            new FatalAuthenticationError(
+              'OAuth callback not received. Unexpected request: ' + req.url,
+            ),
+          );
+        }
+        // acquire the code from the querystring, and close the web server.
+        const qs = new url.URL(req.url!, 'http://localhost:3000').searchParams;
+        if (qs.get('error')) {
+          res.writeHead(HTTP_REDIRECT, { Location: SIGN_IN_FAILURE_URL });
+          res.end();
+
+          const errorCode = qs.get('error');
+          const errorDescription =
+            qs.get('error_description') || 'No additional details provided';
+          reject(
+            new FatalAuthenticationError(
+              `Google OAuth error: ${errorCode}. ${errorDescription}`,
+            ),
+          );
+        } else if (qs.get('state') !== state) {
+          res.end('State mismatch. Possible CSRF attack');
+
+          reject(
+            new FatalAuthenticationError(
+              'OAuth state mismatch. Possible CSRF attack or browser session issue.',
+            ),
+          );
+        } else if (qs.get('code')) {
+          try {
+            const { tokens } = await client.getToken({
+              code: qs.get('code')!,
+              redirect_uri: redirectUri,
+            });
+            client.setCredentials(tokens);
+
+            // Retrieve and cache Google Account ID during authentication
+            try {
+              await fetchAndCacheUserInfo(client);
+            } catch (error) {
+              console.warn(
+                'Failed to retrieve Google Account ID during authentication:',
+                getErrorMessage(error),
+              );
+              // Don't fail the auth flow if Google Account ID retrieval fails
+            }
+
+            res.writeHead(HTTP_REDIRECT, { Location: SIGN_IN_SUCCESS_URL });
+            res.end();
+            resolve();
+          } catch (error) {
+            res.writeHead(HTTP_REDIRECT, { Location: SIGN_IN_FAILURE_URL });
+            res.end();
+            reject(
+              new FatalAuthenticationError(
+                `Failed to exchange authorization code for tokens: ${getErrorMessage(error)}`,
+              ),
+            );
+          }
+        } else {
+          reject(
+            new FatalAuthenticationError(
+              'No authorization code received from Google OAuth. Please try authenticating again.',
+            ),
+          );
+        }
+      } catch (e) {
+        // Provide more specific error message for unexpected errors during OAuth flow
+        if (e instanceof FatalAuthenticationError) {
+          reject(e);
+        } else {
+          reject(
+            new FatalAuthenticationError(
+              `Unexpected error during OAuth authentication: ${getErrorMessage(e)}`,
+            ),
+          );
+        }
+      } finally {
+        server.close();
+      }
+    });
+
+    server.listen(port, host, () => {
+      // Server started successfully
+    });
+
+    server.on('error', (err) => {
+      reject(
+        new FatalAuthenticationError(
+          `OAuth callback server error: ${getErrorMessage(err)}`,
+        ),
+      );
+    });
+  });
+
+  return {
+    authUrl,
+    loginCompletePromise,
+  };
+}
+
+export function getAvailablePort(): Promise<number> {
+  return new Promise((resolve, reject) => {
+    let port = 0;
+    try {
+      const portStr = process.env['OAUTH_CALLBACK_PORT'];
+      if (portStr) {
+        port = parseInt(portStr, 10);
+        if (isNaN(port) || port <= 0 || port > 65535) {
+          return reject(
+            new Error(`Invalid value for OAUTH_CALLBACK_PORT: "${portStr}"`),
+          );
+        }
+        return resolve(port);
+      }
+      const server = net.createServer();
+      server.listen(0, () => {
+        const address = server.address()! as net.AddressInfo;
+        port = address.port;
+      });
+      server.on('listening', () => {
+        server.close();
+        server.unref();
+      });
+      server.on('error', (e) => reject(e));
+      server.on('close', () => resolve(port));
+    } catch (e) {
+      reject(e);
+    }
+  });
+}
+
+async function loadCachedCredentials(client: OAuth2Client): Promise<boolean> {
+  const useEncryptedStorage = getUseEncryptedStorageFlag();
+  if (useEncryptedStorage) {
+    const credentials = await OAuthCredentialStorage.loadCredentials();
+    if (credentials) {
+      client.setCredentials(credentials);
+      return true;
+    }
+    return false;
+  }
+
+  const pathsToTry = [
+    Storage.getOAuthCredsPath(),
+    process.env['GOOGLE_APPLICATION_CREDENTIALS'],
+  ].filter((p): p is string => !!p);
+
+  for (const keyFile of pathsToTry) {
+    try {
+      const creds = await fs.readFile(keyFile, 'utf-8');
+      client.setCredentials(JSON.parse(creds));
+
+      // This will verify locally that the credentials look good.
+      const { token } = await client.getAccessToken();
+      if (!token) {
+        continue;
+      }
+
+      // This will check with the server to see if it hasn't been revoked.
+      await client.getTokenInfo(token);
+
+      return true;
+    } catch (error) {
+      // Log specific error for debugging, but continue trying other paths
+      console.debug(
+        `Failed to load credentials from ${keyFile}:`,
+        getErrorMessage(error),
+      );
+    }
+  }
+
+  return false;
+}
+
+async function cacheCredentials(credentials: Credentials) {
+  const filePath = Storage.getOAuthCredsPath();
+  await fs.mkdir(path.dirname(filePath), { recursive: true });
+
+  const credString = JSON.stringify(credentials, null, 2);
+  await fs.writeFile(filePath, credString, { mode: 0o600 });
+  try {
+    await fs.chmod(filePath, 0o600);
+  } catch {
+    /* empty */
+  }
+}
+
+export function clearOauthClientCache() {
+  oauthClientPromises.clear();
+}
+
+export async function clearCachedCredentialFile() {
+  try {
+    const useEncryptedStorage = getUseEncryptedStorageFlag();
+    if (useEncryptedStorage) {
+      await OAuthCredentialStorage.clearCredentials();
+    } else {
+      await fs.rm(Storage.getOAuthCredsPath(), { force: true });
+    }
+    // Clear the Google Account ID cache when credentials are cleared
+    await userAccountManager.clearCachedGoogleAccount();
+    // Clear the in-memory OAuth client cache to force re-authentication
+    clearOauthClientCache();
+
+    /**
+     * Also clear Qwen SharedTokenManager cache and credentials file to prevent stale credentials
+     * when switching between auth types
+     * TODO: We do not depend on code_assist, we'll have to build an independent auth-cleaning procedure.
+     */
+    try {
+      const { SharedTokenManager } = await import(
+        '../qwen/sharedTokenManager.js'
+      );
+      const { clearQwenCredentials } = await import('../qwen/qwenOAuth2.js');
+
+      const sharedManager = SharedTokenManager.getInstance();
+      sharedManager.clearCache();
+
+      await clearQwenCredentials();
+    } catch (qwenError) {
+      console.debug('Could not clear Qwen credentials:', qwenError);
+    }
+  } catch (e) {
+    console.error('Failed to clear cached credentials:', e);
+  }
+}
+
+async function fetchAndCacheUserInfo(client: OAuth2Client): Promise<void> {
+  try {
+    const { token } = await client.getAccessToken();
+    if (!token) {
+      return;
+    }
+
+    const response = await fetch(
+      'https://www.googleapis.com/oauth2/v2/userinfo',
+      {
+        headers: {
+          Authorization: `Bearer ${token}`,
+        },
+      },
+    );
+
+    if (!response.ok) {
+      console.error(
+        'Failed to fetch user info:',
+        response.status,
+        response.statusText,
+      );
+      return;
+    }
+
+    const userInfo = await response.json();
+    await userAccountManager.cacheGoogleAccount(userInfo.email);
+  } catch (error) {
+    console.error('Error retrieving user info:', error);
+  }
+}
+
+// Helper to ensure test isolation
+export function resetOauthClientForTesting() {
+  oauthClientPromises.clear();
+}

packages/core/src/code_assist/server.test.ts

@@ -0,0 +1,255 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import { beforeEach, describe, it, expect, vi } from 'vitest';
+import { CodeAssistServer } from './server.js';
+import { OAuth2Client } from 'google-auth-library';
+import { UserTierId } from './types.js';
+
+vi.mock('google-auth-library');
+
+describe('CodeAssistServer', () => {
+  beforeEach(() => {
+    vi.resetAllMocks();
+  });
+
+  it('should be able to be constructed', () => {
+    const auth = new OAuth2Client();
+    const server = new CodeAssistServer(
+      auth,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    expect(server).toBeInstanceOf(CodeAssistServer);
+  });
+
+  it('should call the generateContent endpoint', async () => {
+    const client = new OAuth2Client();
+    const server = new CodeAssistServer(
+      client,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    const mockResponse = {
+      response: {
+        candidates: [
+          {
+            index: 0,
+            content: {
+              role: 'model',
+              parts: [{ text: 'response' }],
+            },
+            finishReason: 'STOP',
+            safetyRatings: [],
+          },
+        ],
+      },
+    };
+    vi.spyOn(server, 'requestPost').mockResolvedValue(mockResponse);
+
+    const response = await server.generateContent(
+      {
+        model: 'test-model',
+        contents: [{ role: 'user', parts: [{ text: 'request' }] }],
+      },
+      'user-prompt-id',
+    );
+
+    expect(server.requestPost).toHaveBeenCalledWith(
+      'generateContent',
+      expect.any(Object),
+      undefined,
+    );
+    expect(response.candidates?.[0]?.content?.parts?.[0]?.text).toBe(
+      'response',
+    );
+  });
+
+  it('should call the generateContentStream endpoint', async () => {
+    const client = new OAuth2Client();
+    const server = new CodeAssistServer(
+      client,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    const mockResponse = (async function* () {
+      yield {
+        response: {
+          candidates: [
+            {
+              index: 0,
+              content: {
+                role: 'model',
+                parts: [{ text: 'response' }],
+              },
+              finishReason: 'STOP',
+              safetyRatings: [],
+            },
+          ],
+        },
+      };
+    })();
+    vi.spyOn(server, 'requestStreamingPost').mockResolvedValue(mockResponse);
+
+    const stream = await server.generateContentStream(
+      {
+        model: 'test-model',
+        contents: [{ role: 'user', parts: [{ text: 'request' }] }],
+      },
+      'user-prompt-id',
+    );
+
+    for await (const res of stream) {
+      expect(server.requestStreamingPost).toHaveBeenCalledWith(
+        'streamGenerateContent',
+        expect.any(Object),
+        undefined,
+      );
+      expect(res.candidates?.[0]?.content?.parts?.[0]?.text).toBe('response');
+    }
+  });
+
+  it('should call the onboardUser endpoint', async () => {
+    const client = new OAuth2Client();
+    const server = new CodeAssistServer(
+      client,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    const mockResponse = {
+      name: 'operations/123',
+      done: true,
+    };
+    vi.spyOn(server, 'requestPost').mockResolvedValue(mockResponse);
+
+    const response = await server.onboardUser({
+      tierId: 'test-tier',
+      cloudaicompanionProject: 'test-project',
+      metadata: {},
+    });
+
+    expect(server.requestPost).toHaveBeenCalledWith(
+      'onboardUser',
+      expect.any(Object),
+    );
+    expect(response.name).toBe('operations/123');
+  });
+
+  it('should call the loadCodeAssist endpoint', async () => {
+    const client = new OAuth2Client();
+    const server = new CodeAssistServer(
+      client,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    const mockResponse = {
+      currentTier: {
+        id: UserTierId.FREE,
+        name: 'Free',
+        description: 'free tier',
+      },
+      allowedTiers: [],
+      ineligibleTiers: [],
+      cloudaicompanionProject: 'projects/test',
+    };
+    vi.spyOn(server, 'requestPost').mockResolvedValue(mockResponse);
+
+    const response = await server.loadCodeAssist({
+      metadata: {},
+    });
+
+    expect(server.requestPost).toHaveBeenCalledWith(
+      'loadCodeAssist',
+      expect.any(Object),
+    );
+    expect(response).toEqual(mockResponse);
+  });
+
+  it('should return 0 for countTokens', async () => {
+    const client = new OAuth2Client();
+    const server = new CodeAssistServer(
+      client,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    const mockResponse = {
+      totalTokens: 100,
+    };
+    vi.spyOn(server, 'requestPost').mockResolvedValue(mockResponse);
+
+    const response = await server.countTokens({
+      model: 'test-model',
+      contents: [{ role: 'user', parts: [{ text: 'request' }] }],
+    });
+    expect(response.totalTokens).toBe(100);
+  });
+
+  it('should throw an error for embedContent', async () => {
+    const client = new OAuth2Client();
+    const server = new CodeAssistServer(
+      client,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    await expect(
+      server.embedContent({
+        model: 'test-model',
+        contents: [{ role: 'user', parts: [{ text: 'request' }] }],
+      }),
+    ).rejects.toThrow();
+  });
+
+  it('should handle VPC-SC errors when calling loadCodeAssist', async () => {
+    const client = new OAuth2Client();
+    const server = new CodeAssistServer(
+      client,
+      'test-project',
+      {},
+      'test-session',
+      UserTierId.FREE,
+    );
+    const mockVpcScError = {
+      response: {
+        data: {
+          error: {
+            details: [
+              {
+                reason: 'SECURITY_POLICY_VIOLATED',
+              },
+            ],
+          },
+        },
+      },
+    };
+    vi.spyOn(server, 'requestPost').mockRejectedValue(mockVpcScError);
+
+    const response = await server.loadCodeAssist({
+      metadata: {},
+    });
+
+    expect(server.requestPost).toHaveBeenCalledWith(
+      'loadCodeAssist',
+      expect.any(Object),
+    );
+    expect(response).toEqual({
+      currentTier: { id: UserTierId.STANDARD },
+    });
+  });
+});

packages/core/src/code_assist/server.ts

@@ -0,0 +1,253 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type { OAuth2Client } from 'google-auth-library';
+import type {
+  CodeAssistGlobalUserSettingResponse,
+  GoogleRpcResponse,
+  LoadCodeAssistRequest,
+  LoadCodeAssistResponse,
+  LongRunningOperationResponse,
+  OnboardUserRequest,
+  SetCodeAssistGlobalUserSettingRequest,
+} from './types.js';
+import type {
+  CountTokensParameters,
+  CountTokensResponse,
+  EmbedContentParameters,
+  EmbedContentResponse,
+  GenerateContentParameters,
+  GenerateContentResponse,
+} from '@google/genai';
+import * as readline from 'node:readline';
+import type { ContentGenerator } from '../core/contentGenerator.js';
+import { UserTierId } from './types.js';
+import type {
+  CaCountTokenResponse,
+  CaGenerateContentResponse,
+} from './converter.js';
+import {
+  fromCountTokenResponse,
+  fromGenerateContentResponse,
+  toCountTokenRequest,
+  toGenerateContentRequest,
+} from './converter.js';
+
+/** HTTP options to be used in each of the requests. */
+export interface HttpOptions {
+  /** Additional HTTP headers to be sent with the request. */
+  headers?: Record<string, string>;
+}
+
+export const CODE_ASSIST_ENDPOINT = 'https://localhost:0'; // Disable Google Code Assist API Request
+export const CODE_ASSIST_API_VERSION = 'v1internal';
+
+export class CodeAssistServer implements ContentGenerator {
+  constructor(
+    readonly client: OAuth2Client,
+    readonly projectId?: string,
+    readonly httpOptions: HttpOptions = {},
+    readonly sessionId?: string,
+    readonly userTier?: UserTierId,
+  ) {}
+
+  async generateContentStream(
+    req: GenerateContentParameters,
+    userPromptId: string,
+  ): Promise<AsyncGenerator<GenerateContentResponse>> {
+    const resps = await this.requestStreamingPost<CaGenerateContentResponse>(
+      'streamGenerateContent',
+      toGenerateContentRequest(
+        req,
+        userPromptId,
+        this.projectId,
+        this.sessionId,
+      ),
+      req.config?.abortSignal,
+    );
+    return (async function* (): AsyncGenerator<GenerateContentResponse> {
+      for await (const resp of resps) {
+        yield fromGenerateContentResponse(resp);
+      }
+    })();
+  }
+
+  async generateContent(
+    req: GenerateContentParameters,
+    userPromptId: string,
+  ): Promise<GenerateContentResponse> {
+    const resp = await this.requestPost<CaGenerateContentResponse>(
+      'generateContent',
+      toGenerateContentRequest(
+        req,
+        userPromptId,
+        this.projectId,
+        this.sessionId,
+      ),
+      req.config?.abortSignal,
+    );
+    return fromGenerateContentResponse(resp);
+  }
+
+  async onboardUser(
+    req: OnboardUserRequest,
+  ): Promise<LongRunningOperationResponse> {
+    return await this.requestPost<LongRunningOperationResponse>(
+      'onboardUser',
+      req,
+    );
+  }
+
+  async loadCodeAssist(
+    req: LoadCodeAssistRequest,
+  ): Promise<LoadCodeAssistResponse> {
+    try {
+      return await this.requestPost<LoadCodeAssistResponse>(
+        'loadCodeAssist',
+        req,
+      );
+    } catch (e) {
+      if (isVpcScAffectedUser(e)) {
+        return {
+          currentTier: { id: UserTierId.STANDARD },
+        };
+      } else {
+        throw e;
+      }
+    }
+  }
+
+  async getCodeAssistGlobalUserSetting(): Promise<CodeAssistGlobalUserSettingResponse> {
+    return await this.requestGet<CodeAssistGlobalUserSettingResponse>(
+      'getCodeAssistGlobalUserSetting',
+    );
+  }
+
+  async setCodeAssistGlobalUserSetting(
+    req: SetCodeAssistGlobalUserSettingRequest,
+  ): Promise<CodeAssistGlobalUserSettingResponse> {
+    return await this.requestPost<CodeAssistGlobalUserSettingResponse>(
+      'setCodeAssistGlobalUserSetting',
+      req,
+    );
+  }
+
+  async countTokens(req: CountTokensParameters): Promise<CountTokensResponse> {
+    const resp = await this.requestPost<CaCountTokenResponse>(
+      'countTokens',
+      toCountTokenRequest(req),
+    );
+    return fromCountTokenResponse(resp);
+  }
+
+  async embedContent(
+    _req: EmbedContentParameters,
+  ): Promise<EmbedContentResponse> {
+    throw Error();
+  }
+
+  async requestPost<T>(
+    method: string,
+    req: object,
+    signal?: AbortSignal,
+  ): Promise<T> {
+    const res = await this.client.request({
+      url: this.getMethodUrl(method),
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        ...this.httpOptions.headers,
+      },
+      responseType: 'json',
+      body: JSON.stringify(req),
+      signal,
+    });
+    return res.data as T;
+  }
+
+  async requestGet<T>(method: string, signal?: AbortSignal): Promise<T> {
+    const res = await this.client.request({
+      url: this.getMethodUrl(method),
+      method: 'GET',
+      headers: {
+        'Content-Type': 'application/json',
+        ...this.httpOptions.headers,
+      },
+      responseType: 'json',
+      signal,
+    });
+    return res.data as T;
+  }
+
+  async requestStreamingPost<T>(
+    method: string,
+    req: object,
+    signal?: AbortSignal,
+  ): Promise<AsyncGenerator<T>> {
+    const res = await this.client.request({
+      url: this.getMethodUrl(method),
+      method: 'POST',
+      params: {
+        alt: 'sse',
+      },
+      headers: {
+        'Content-Type': 'application/json',
+        ...this.httpOptions.headers,
+      },
+      responseType: 'stream',
+      body: JSON.stringify(req),
+      signal,
+    });
+
+    return (async function* (): AsyncGenerator<T> {
+      const rl = readline.createInterface({
+        input: res.data as NodeJS.ReadableStream,
+        crlfDelay: Infinity, // Recognizes '\r\n' and '\n' as line breaks
+      });
+
+      let bufferedLines: string[] = [];
+      for await (const line of rl) {
+        // blank lines are used to separate JSON objects in the stream
+        if (line === '') {
+          if (bufferedLines.length === 0) {
+            continue; // no data to yield
+          }
+          yield JSON.parse(bufferedLines.join('\n')) as T;
+          bufferedLines = []; // Reset the buffer after yielding
+        } else if (line.startsWith('data: ')) {
+          bufferedLines.push(line.slice(6).trim());
+        } else {
+          throw new Error(`Unexpected line format in response: ${line}`);
+        }
+      }
+    })();
+  }
+
+  getMethodUrl(method: string): string {
+    const endpoint =
+      process.env['CODE_ASSIST_ENDPOINT'] ?? CODE_ASSIST_ENDPOINT;
+    return `${endpoint}/${CODE_ASSIST_API_VERSION}:${method}`;
+  }
+}
+
+function isVpcScAffectedUser(error: unknown): boolean {
+  if (error && typeof error === 'object' && 'response' in error) {
+    const gaxiosError = error as {
+      response?: {
+        data?: unknown;
+      };
+    };
+    const response = gaxiosError.response?.data as
+      | GoogleRpcResponse
+      | undefined;
+    if (Array.isArray(response?.error?.details)) {
+      return response.error.details.some(
+        (detail) => detail.reason === 'SECURITY_POLICY_VIOLATED',
+      );
+    }
+  }
+  return false;
+}

packages/core/src/code_assist/setup.test.ts

@@ -0,0 +1,224 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { setupUser, ProjectIdRequiredError } from './setup.js';
+import { CodeAssistServer } from '../code_assist/server.js';
+import type { OAuth2Client } from 'google-auth-library';
+import type { GeminiUserTier } from './types.js';
+import { UserTierId } from './types.js';
+
+vi.mock('../code_assist/server.js');
+
+const mockPaidTier: GeminiUserTier = {
+  id: UserTierId.STANDARD,
+  name: 'paid',
+  description: 'Paid tier',
+  isDefault: true,
+};
+
+const mockFreeTier: GeminiUserTier = {
+  id: UserTierId.FREE,
+  name: 'free',
+  description: 'Free tier',
+  isDefault: true,
+};
+
+describe('setupUser for existing user', () => {
+  let mockLoad: ReturnType<typeof vi.fn>;
+  let mockOnboardUser: ReturnType<typeof vi.fn>;
+
+  beforeEach(() => {
+    vi.resetAllMocks();
+    mockLoad = vi.fn();
+    mockOnboardUser = vi.fn().mockResolvedValue({
+      done: true,
+      response: {
+        cloudaicompanionProject: {
+          id: 'server-project',
+        },
+      },
+    });
+    vi.mocked(CodeAssistServer).mockImplementation(
+      () =>
+        ({
+          loadCodeAssist: mockLoad,
+          onboardUser: mockOnboardUser,
+        }) as unknown as CodeAssistServer,
+    );
+  });
+
+  afterEach(() => {
+    vi.unstubAllEnvs();
+  });
+
+  it('should use GOOGLE_CLOUD_PROJECT when set and project from server is undefined', async () => {
+    vi.stubEnv('GOOGLE_CLOUD_PROJECT', 'test-project');
+    mockLoad.mockResolvedValue({
+      currentTier: mockPaidTier,
+    });
+    await setupUser({} as OAuth2Client);
+    expect(CodeAssistServer).toHaveBeenCalledWith(
+      {},
+      'test-project',
+      {},
+      '',
+      undefined,
+    );
+  });
+
+  it('should ignore GOOGLE_CLOUD_PROJECT when project from server is set', async () => {
+    vi.stubEnv('GOOGLE_CLOUD_PROJECT', 'test-project');
+    mockLoad.mockResolvedValue({
+      cloudaicompanionProject: 'server-project',
+      currentTier: mockPaidTier,
+    });
+    const projectId = await setupUser({} as OAuth2Client);
+    expect(CodeAssistServer).toHaveBeenCalledWith(
+      {},
+      'test-project',
+      {},
+      '',
+      undefined,
+    );
+    expect(projectId).toEqual({
+      projectId: 'server-project',
+      userTier: 'standard-tier',
+    });
+  });
+
+  it('should throw ProjectIdRequiredError when no project ID is available', async () => {
+    vi.stubEnv('GOOGLE_CLOUD_PROJECT', '');
+    // And the server itself requires a project ID internally
+    vi.mocked(CodeAssistServer).mockImplementation(() => {
+      throw new ProjectIdRequiredError();
+    });
+
+    await expect(setupUser({} as OAuth2Client)).rejects.toThrow(
+      ProjectIdRequiredError,
+    );
+  });
+});
+
+describe('setupUser for new user', () => {
+  let mockLoad: ReturnType<typeof vi.fn>;
+  let mockOnboardUser: ReturnType<typeof vi.fn>;
+
+  beforeEach(() => {
+    vi.resetAllMocks();
+    mockLoad = vi.fn();
+    mockOnboardUser = vi.fn().mockResolvedValue({
+      done: true,
+      response: {
+        cloudaicompanionProject: {
+          id: 'server-project',
+        },
+      },
+    });
+    vi.mocked(CodeAssistServer).mockImplementation(
+      () =>
+        ({
+          loadCodeAssist: mockLoad,
+          onboardUser: mockOnboardUser,
+        }) as unknown as CodeAssistServer,
+    );
+  });
+
+  afterEach(() => {
+    vi.unstubAllEnvs();
+  });
+
+  it('should use GOOGLE_CLOUD_PROJECT when set and onboard a new paid user', async () => {
+    vi.stubEnv('GOOGLE_CLOUD_PROJECT', 'test-project');
+    mockLoad.mockResolvedValue({
+      allowedTiers: [mockPaidTier],
+    });
+    const userData = await setupUser({} as OAuth2Client);
+    expect(CodeAssistServer).toHaveBeenCalledWith(
+      {},
+      'test-project',
+      {},
+      '',
+      undefined,
+    );
+    expect(mockLoad).toHaveBeenCalled();
+    expect(mockOnboardUser).toHaveBeenCalledWith({
+      tierId: 'standard-tier',
+      cloudaicompanionProject: 'test-project',
+      metadata: {
+        ideType: 'IDE_UNSPECIFIED',
+        platform: 'PLATFORM_UNSPECIFIED',
+        pluginType: 'GEMINI',
+        duetProject: 'test-project',
+      },
+    });
+    expect(userData).toEqual({
+      projectId: 'server-project',
+      userTier: 'standard-tier',
+    });
+  });
+
+  it('should onboard a new free user when GOOGLE_CLOUD_PROJECT is not set', async () => {
+    vi.stubEnv('GOOGLE_CLOUD_PROJECT', '');
+    mockLoad.mockResolvedValue({
+      allowedTiers: [mockFreeTier],
+    });
+    const userData = await setupUser({} as OAuth2Client);
+    expect(CodeAssistServer).toHaveBeenCalledWith(
+      {},
+      undefined,
+      {},
+      '',
+      undefined,
+    );
+    expect(mockLoad).toHaveBeenCalled();
+    expect(mockOnboardUser).toHaveBeenCalledWith({
+      tierId: 'free-tier',
+      cloudaicompanionProject: undefined,
+      metadata: {
+        ideType: 'IDE_UNSPECIFIED',
+        platform: 'PLATFORM_UNSPECIFIED',
+        pluginType: 'GEMINI',
+      },
+    });
+    expect(userData).toEqual({
+      projectId: 'server-project',
+      userTier: 'free-tier',
+    });
+  });
+
+  it('should use GOOGLE_CLOUD_PROJECT when onboard response has no project ID', async () => {
+    vi.stubEnv('GOOGLE_CLOUD_PROJECT', 'test-project');
+    mockLoad.mockResolvedValue({
+      allowedTiers: [mockPaidTier],
+    });
+    mockOnboardUser.mockResolvedValue({
+      done: true,
+      response: {
+        cloudaicompanionProject: undefined,
+      },
+    });
+    const userData = await setupUser({} as OAuth2Client);
+    expect(userData).toEqual({
+      projectId: 'test-project',
+      userTier: 'standard-tier',
+    });
+  });
+
+  it('should throw ProjectIdRequiredError when no project ID is available', async () => {
+    vi.stubEnv('GOOGLE_CLOUD_PROJECT', '');
+    mockLoad.mockResolvedValue({
+      allowedTiers: [mockPaidTier],
+    });
+    mockOnboardUser.mockResolvedValue({
+      done: true,
+      response: {},
+    });
+    await expect(setupUser({} as OAuth2Client)).rejects.toThrow(
+      ProjectIdRequiredError,
+    );
+  });
+});

packages/core/src/code_assist/setup.ts

@@ -0,0 +1,124 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type {
+  ClientMetadata,
+  GeminiUserTier,
+  LoadCodeAssistResponse,
+  OnboardUserRequest,
+} from './types.js';
+import { UserTierId } from './types.js';
+import { CodeAssistServer } from './server.js';
+import type { OAuth2Client } from 'google-auth-library';
+
+export class ProjectIdRequiredError extends Error {
+  constructor() {
+    super(
+      'This account requires setting the GOOGLE_CLOUD_PROJECT env var. See https://goo.gle/gemini-cli-auth-docs#workspace-gca',
+    );
+  }
+}
+
+export interface UserData {
+  projectId: string;
+  userTier: UserTierId;
+}
+
+/**
+ *
+ * @param projectId the user's project id, if any
+ * @returns the user's actual project id
+ */
+export async function setupUser(client: OAuth2Client): Promise<UserData> {
+  const projectId = process.env['GOOGLE_CLOUD_PROJECT'] || undefined;
+  const caServer = new CodeAssistServer(client, projectId, {}, '', undefined);
+  const coreClientMetadata: ClientMetadata = {
+    ideType: 'IDE_UNSPECIFIED',
+    platform: 'PLATFORM_UNSPECIFIED',
+    pluginType: 'GEMINI',
+  };
+
+  const loadRes = await caServer.loadCodeAssist({
+    cloudaicompanionProject: projectId,
+    metadata: {
+      ...coreClientMetadata,
+      duetProject: projectId,
+    },
+  });
+
+  if (loadRes.currentTier) {
+    if (!loadRes.cloudaicompanionProject) {
+      if (projectId) {
+        return {
+          projectId,
+          userTier: loadRes.currentTier.id,
+        };
+      }
+      throw new ProjectIdRequiredError();
+    }
+    return {
+      projectId: loadRes.cloudaicompanionProject,
+      userTier: loadRes.currentTier.id,
+    };
+  }
+
+  const tier = getOnboardTier(loadRes);
+
+  let onboardReq: OnboardUserRequest;
+  if (tier.id === UserTierId.FREE) {
+    // The free tier uses a managed google cloud project. Setting a project in the `onboardUser` request causes a `Precondition Failed` error.
+    onboardReq = {
+      tierId: tier.id,
+      cloudaicompanionProject: undefined,
+      metadata: coreClientMetadata,
+    };
+  } else {
+    onboardReq = {
+      tierId: tier.id,
+      cloudaicompanionProject: projectId,
+      metadata: {
+        ...coreClientMetadata,
+        duetProject: projectId,
+      },
+    };
+  }
+
+  // Poll onboardUser until long running operation is complete.
+  let lroRes = await caServer.onboardUser(onboardReq);
+  while (!lroRes.done) {
+    await new Promise((f) => setTimeout(f, 5000));
+    lroRes = await caServer.onboardUser(onboardReq);
+  }
+
+  if (!lroRes.response?.cloudaicompanionProject?.id) {
+    if (projectId) {
+      return {
+        projectId,
+        userTier: tier.id,
+      };
+    }
+    throw new ProjectIdRequiredError();
+  }
+
+  return {
+    projectId: lroRes.response.cloudaicompanionProject.id,
+    userTier: tier.id,
+  };
+}
+
+function getOnboardTier(res: LoadCodeAssistResponse): GeminiUserTier {
+  for (const tier of res.allowedTiers || []) {
+    if (tier.isDefault) {
+      return tier;
+    }
+  }
+  return {
+    name: '',
+    description: '',
+    id: UserTierId.LEGACY,
+    userDefinedCloudaicompanionProject: true,
+  };
+}

packages/core/src/code_assist/types.ts

@@ -0,0 +1,201 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+export interface ClientMetadata {
+  ideType?: ClientMetadataIdeType;
+  ideVersion?: string;
+  pluginVersion?: string;
+  platform?: ClientMetadataPlatform;
+  updateChannel?: string;
+  duetProject?: string;
+  pluginType?: ClientMetadataPluginType;
+  ideName?: string;
+}
+
+export type ClientMetadataIdeType =
+  | 'IDE_UNSPECIFIED'
+  | 'VSCODE'
+  | 'INTELLIJ'
+  | 'VSCODE_CLOUD_WORKSTATION'
+  | 'INTELLIJ_CLOUD_WORKSTATION'
+  | 'CLOUD_SHELL';
+export type ClientMetadataPlatform =
+  | 'PLATFORM_UNSPECIFIED'
+  | 'DARWIN_AMD64'
+  | 'DARWIN_ARM64'
+  | 'LINUX_AMD64'
+  | 'LINUX_ARM64'
+  | 'WINDOWS_AMD64';
+export type ClientMetadataPluginType =
+  | 'PLUGIN_UNSPECIFIED'
+  | 'CLOUD_CODE'
+  | 'GEMINI'
+  | 'AIPLUGIN_INTELLIJ'
+  | 'AIPLUGIN_STUDIO';
+
+export interface LoadCodeAssistRequest {
+  cloudaicompanionProject?: string;
+  metadata: ClientMetadata;
+}
+
+/**
+ * Represents LoadCodeAssistResponse proto json field
+ * http://google3/google/internal/cloud/code/v1internal/cloudcode.proto;l=224
+ */
+export interface LoadCodeAssistResponse {
+  currentTier?: GeminiUserTier | null;
+  allowedTiers?: GeminiUserTier[] | null;
+  ineligibleTiers?: IneligibleTier[] | null;
+  cloudaicompanionProject?: string | null;
+}
+
+/**
+ * GeminiUserTier reflects the structure received from the CodeAssist when calling LoadCodeAssist.
+ */
+export interface GeminiUserTier {
+  id: UserTierId;
+  name?: string;
+  description?: string;
+  // This value is used to declare whether a given tier requires the user to configure the project setting on the IDE settings or not.
+  userDefinedCloudaicompanionProject?: boolean | null;
+  isDefault?: boolean;
+  privacyNotice?: PrivacyNotice;
+  hasAcceptedTos?: boolean;
+  hasOnboardedPreviously?: boolean;
+}
+
+/**
+ * Includes information specifying the reasons for a user's ineligibility for a specific tier.
+ * @param reasonCode mnemonic code representing the reason for in-eligibility.
+ * @param reasonMessage message to display to the user.
+ * @param tierId id of the tier.
+ * @param tierName name of the tier.
+ */
+export interface IneligibleTier {
+  reasonCode: IneligibleTierReasonCode;
+  reasonMessage: string;
+  tierId: UserTierId;
+  tierName: string;
+}
+
+/**
+ * List of predefined reason codes when a tier is blocked from a specific tier.
+ * https://source.corp.google.com/piper///depot/google3/google/internal/cloud/code/v1internal/cloudcode.proto;l=378
+ */
+export enum IneligibleTierReasonCode {
+  // go/keep-sorted start
+  DASHER_USER = 'DASHER_USER',
+  INELIGIBLE_ACCOUNT = 'INELIGIBLE_ACCOUNT',
+  NON_USER_ACCOUNT = 'NON_USER_ACCOUNT',
+  RESTRICTED_AGE = 'RESTRICTED_AGE',
+  RESTRICTED_NETWORK = 'RESTRICTED_NETWORK',
+  UNKNOWN = 'UNKNOWN',
+  UNKNOWN_LOCATION = 'UNKNOWN_LOCATION',
+  UNSUPPORTED_LOCATION = 'UNSUPPORTED_LOCATION',
+  // go/keep-sorted end
+}
+/**
+ * UserTierId represents IDs returned from the Cloud Code Private API representing a user's tier
+ *
+ * //depot/google3/cloud/developer_experience/cloudcode/pa/service/usertier.go;l=16
+ */
+export enum UserTierId {
+  FREE = 'free-tier',
+  LEGACY = 'legacy-tier',
+  STANDARD = 'standard-tier',
+}
+
+/**
+ * PrivacyNotice reflects the structure received from the CodeAssist in regards to a tier
+ * privacy notice.
+ */
+export interface PrivacyNotice {
+  showNotice: boolean;
+  noticeText?: string;
+}
+
+/**
+ * Proto signature of OnboardUserRequest as payload to OnboardUser call
+ */
+export interface OnboardUserRequest {
+  tierId: string | undefined;
+  cloudaicompanionProject: string | undefined;
+  metadata: ClientMetadata | undefined;
+}
+
+/**
+ * Represents LongRunningOperation proto
+ * http://google3/google/longrunning/operations.proto;rcl=698857719;l=107
+ */
+export interface LongRunningOperationResponse {
+  name: string;
+  done?: boolean;
+  response?: OnboardUserResponse;
+}
+
+/**
+ * Represents OnboardUserResponse proto
+ * http://google3/google/internal/cloud/code/v1internal/cloudcode.proto;l=215
+ */
+export interface OnboardUserResponse {
+  // tslint:disable-next-line:enforce-name-casing This is the name of the field in the proto.
+  cloudaicompanionProject?: {
+    id: string;
+    name: string;
+  };
+}
+
+/**
+ * Status code of user license status
+ * it does not strictly correspond to the proto
+ * Error value is an additional value assigned to error responses from OnboardUser
+ */
+export enum OnboardUserStatusCode {
+  Default = 'DEFAULT',
+  Notice = 'NOTICE',
+  Warning = 'WARNING',
+  Error = 'ERROR',
+}
+
+/**
+ * Status of user onboarded to gemini
+ */
+export interface OnboardUserStatus {
+  statusCode: OnboardUserStatusCode;
+  displayMessage: string;
+  helpLink: HelpLinkUrl | undefined;
+}
+
+export interface HelpLinkUrl {
+  description: string;
+  url: string;
+}
+
+export interface SetCodeAssistGlobalUserSettingRequest {
+  cloudaicompanionProject?: string;
+  freeTierDataCollectionOptin: boolean;
+}
+
+export interface CodeAssistGlobalUserSettingResponse {
+  cloudaicompanionProject?: string;
+  freeTierDataCollectionOptin: boolean;
+}
+
+/**
+ * Relevant fields that can be returned from a Google RPC response
+ */
+export interface GoogleRpcResponse {
+  error?: {
+    details?: GoogleRpcErrorInfo[];
+  };
+}
+
+/**
+ * Relevant fields that can be returned in the details of an error returned from GoogleRPCs
+ */
+interface GoogleRpcErrorInfo {
+  reason?: string;
+}

packages/core/src/config/config.test.ts

@@ -16,6 +16,7 @@ import {
   QwenLogger,
 } from '../telemetry/index.js';
 import type { ContentGeneratorConfig } from '../core/contentGenerator.js';
+import { DEFAULT_DASHSCOPE_BASE_URL } from '../core/openaiContentGenerator/constants.js';
 import {
   AuthType,
   createContentGeneratorConfig,
@@ -272,7 +273,7 @@ describe('Server Config (config.ts)', () => {
         authType,
         {
           model: MODEL,
-          baseUrl: undefined,
+          baseUrl: DEFAULT_DASHSCOPE_BASE_URL,
         },
       );
       // Verify that contentGeneratorConfig is updated
@@ -282,6 +283,23 @@ describe('Server Config (config.ts)', () => {
       expect(config.isInFallbackMode()).toBe(false);
     });
 
+    it('should strip thoughts when switching from GenAI to Vertex', async () => {
+      const config = new Config(baseParams);
+
+      vi.mocked(createContentGeneratorConfig).mockImplementation(
+        (_: Config, authType: AuthType | undefined) =>
+          ({ authType }) as unknown as ContentGeneratorConfig,
+      );
+
+      await config.refreshAuth(AuthType.USE_GEMINI);
+
+      await config.refreshAuth(AuthType.LOGIN_WITH_GOOGLE);
+
+      expect(
+        config.getGeminiClient().stripThoughtsFromHistory,
+      ).toHaveBeenCalledWith();
+    });
+
     it('should not strip thoughts when switching from Vertex to GenAI', async () => {
       const config = new Config(baseParams);
 

packages/core/src/config/config.ts

@@ -16,7 +16,6 @@ import { ProxyAgent, setGlobalDispatcher } from 'undici';
 import type {
   ContentGenerator,
   ContentGeneratorConfig,
-  AuthType,
 } from '../core/contentGenerator.js';
 import type { FallbackModelHandler } from '../fallback/types.js';
 import type { MCPOAuthConfig } from '../mcp/oauth-provider.js';
@@ -27,6 +26,7 @@ import type { AnyToolInvocation } from '../tools/tools.js';
 import { BaseLlmClient } from '../core/baseLlmClient.js';
 import { GeminiClient } from '../core/client.js';
 import {
+  AuthType,
   createContentGenerator,
   createContentGeneratorConfig,
 } from '../core/contentGenerator.js';
@@ -54,7 +54,6 @@ import { canUseRipgrep } from '../utils/ripgrepUtils.js';
 import { RipGrepTool } from '../tools/ripGrep.js';
 import { ShellTool } from '../tools/shell.js';
 import { SmartEditTool } from '../tools/smart-edit.js';
-import { SkillTool } from '../tools/skill.js';
 import { TaskTool } from '../tools/task.js';
 import { TodoWriteTool } from '../tools/todoWrite.js';
 import { ToolRegistry } from '../tools/tool-registry.js';
@@ -66,7 +65,6 @@ import { WriteFileTool } from '../tools/write-file.js';
 import { ideContextStore } from '../ide/ideContext.js';
 import { InputFormat, OutputFormat } from '../output/types.js';
 import { PromptRegistry } from '../prompts/prompt-registry.js';
-import { SkillManager } from '../skills/skill-manager.js';
 import { SubagentManager } from '../subagents/subagent-manager.js';
 import type { SubagentConfig } from '../subagents/types.js';
 import {
@@ -96,6 +94,7 @@ import {
 } from './constants.js';
 import { DEFAULT_QWEN_EMBEDDING_MODEL, DEFAULT_QWEN_MODEL } from './models.js';
 import { Storage } from './storage.js';
+import { DEFAULT_DASHSCOPE_BASE_URL } from '../core/openaiContentGenerator/constants.js';
 import { ChatRecordingService } from '../services/chatRecordingService.js';
 import {
   SessionService,
@@ -306,7 +305,6 @@ export interface ConfigParameters {
   extensionContextFilePaths?: string[];
   maxSessionTurns?: number;
   sessionTokenLimit?: number;
-  experimentalSkills?: boolean;
   experimentalZedIntegration?: boolean;
   listExtensions?: boolean;
   extensions?: GeminiCLIExtension[];
@@ -391,7 +389,6 @@ export class Config {
   private toolRegistry!: ToolRegistry;
   private promptRegistry!: PromptRegistry;
   private subagentManager!: SubagentManager;
-  private skillManager!: SkillManager;
   private fileSystemService: FileSystemService;
   private contentGeneratorConfig!: ContentGeneratorConfig;
   private contentGenerator!: ContentGenerator;
@@ -461,7 +458,6 @@ export class Config {
     | undefined;
   private readonly cliVersion?: string;
   private readonly experimentalZedIntegration: boolean = false;
-  private readonly experimentalSkills: boolean = false;
   private readonly chatRecordingEnabled: boolean;
   private readonly loadMemoryFromIncludeDirectories: boolean = false;
   private readonly webSearch?: {
@@ -561,7 +557,6 @@ export class Config {
     this.sessionTokenLimit = params.sessionTokenLimit ?? -1;
     this.experimentalZedIntegration =
       params.experimentalZedIntegration ?? false;
-    this.experimentalSkills = params.experimentalSkills ?? false;
     this.listExtensions = params.listExtensions ?? false;
     this._extensions = params.extensions ?? [];
     this._blockedMcpServers = params.blockedMcpServers ?? [];
@@ -573,7 +568,7 @@ export class Config {
     this._generationConfig = {
       model: params.model,
       ...(params.generationConfig || {}),
-      baseUrl: params.generationConfig?.baseUrl,
+      baseUrl: params.generationConfig?.baseUrl || DEFAULT_DASHSCOPE_BASE_URL,
     };
     this.contentGeneratorConfig = this
       ._generationConfig as ContentGeneratorConfig;
@@ -649,7 +644,6 @@ export class Config {
     }
     this.promptRegistry = new PromptRegistry();
     this.subagentManager = new SubagentManager(this);
-    this.skillManager = new SkillManager(this);
 
     // Load session subagents if they were provided before initialization
     if (this.sessionSubagents.length > 0) {
@@ -690,6 +684,16 @@ export class Config {
   }
 
   async refreshAuth(authMethod: AuthType, isInitialAuth?: boolean) {
+    // Vertex and Genai have incompatible encryption and sending history with
+    // throughtSignature from Genai to Vertex will fail, we need to strip them
+    if (
+      this.contentGeneratorConfig?.authType === AuthType.USE_GEMINI &&
+      authMethod === AuthType.LOGIN_WITH_GOOGLE
+    ) {
+      // Restore the conversation history to the new client
+      this.geminiClient.stripThoughtsFromHistory();
+    }
+
     const newContentGeneratorConfig = createContentGeneratorConfig(
       this,
       authMethod,
@@ -1072,10 +1076,6 @@ export class Config {
     return this.experimentalZedIntegration;
   }
 
-  getExperimentalSkills(): boolean {
-    return this.experimentalSkills;
-  }
-
   getListExtensions(): boolean {
     return this.listExtensions;
   }
@@ -1306,10 +1306,6 @@ export class Config {
     return this.subagentManager;
   }
 
-  getSkillManager(): SkillManager {
-    return this.skillManager;
-  }
-
   async createToolRegistry(
     sendSdkMcpMessage?: SendSdkMcpMessage,
   ): Promise<ToolRegistry> {
@@ -1352,9 +1348,6 @@ export class Config {
     };
 
     registerCoreTool(TaskTool, this);
-    if (this.getExperimentalSkills()) {
-      registerCoreTool(SkillTool, this);
-    }
     registerCoreTool(LSTool, this);
     registerCoreTool(ReadFileTool, this);
 

packages/core/src/config/flashFallback.test.ts

@@ -31,7 +31,7 @@ describe('Flash Model Fallback Configuration', () => {
       config as unknown as { contentGeneratorConfig: unknown }
     ).contentGeneratorConfig = {
       model: DEFAULT_GEMINI_MODEL,
-      authType: 'gemini-api-key',
+      authType: 'oauth-personal',
     };
   });
 

packages/core/src/config/storage.ts

@@ -126,10 +126,6 @@ export class Storage {
     return path.join(this.getExtensionsDir(), 'qwen-extension.json');
   }
 
-  getUserSkillsDir(): string {
-    return path.join(Storage.getGlobalQwenDir(), 'skills');
-  }
-
   getHistoryFilePath(): string {
     return path.join(this.getProjectTempDir(), 'shell_history');
   }

packages/core/src/core/__tests__/openaiTimeoutHandling.test.ts

@@ -73,7 +73,6 @@ describe('OpenAIContentGenerator Timeout Handling', () => {
       }),
       buildClient: vi.fn().mockReturnValue(mockOpenAIClient),
       buildRequest: vi.fn().mockImplementation((req) => req),
-      getDefaultGenerationConfig: vi.fn().mockReturnValue({}),
     };
 
     // Create generator instance
@@ -300,7 +299,6 @@ describe('OpenAIContentGenerator Timeout Handling', () => {
         }),
         buildClient: vi.fn().mockReturnValue(mockOpenAIClient),
         buildRequest: vi.fn().mockImplementation((req) => req),
-        getDefaultGenerationConfig: vi.fn().mockReturnValue({}),
       };
 
       new OpenAIContentGenerator(
@@ -335,7 +333,6 @@ describe('OpenAIContentGenerator Timeout Handling', () => {
         }),
         buildClient: vi.fn().mockReturnValue(mockOpenAIClient),
         buildRequest: vi.fn().mockImplementation((req) => req),
-        getDefaultGenerationConfig: vi.fn().mockReturnValue({}),
       };
 
       new OpenAIContentGenerator(

packages/core/src/core/anthropicContentGenerator/anthropicContentGenerator.test.ts

@@ -1,500 +0,0 @@
-/**
- * @license
- * Copyright 2025 Qwen
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
-import type {
-  CountTokensParameters,
-  GenerateContentParameters,
-} from '@google/genai';
-import { FinishReason, GenerateContentResponse } from '@google/genai';
-
-// Mock the request tokenizer module BEFORE importing the class that uses it.
-const mockTokenizer = {
-  calculateTokens: vi.fn(),
-  dispose: vi.fn(),
-};
-
-vi.mock('../../utils/request-tokenizer/index.js', () => ({
-  getDefaultTokenizer: vi.fn(() => mockTokenizer),
-  DefaultRequestTokenizer: vi.fn(() => mockTokenizer),
-  disposeDefaultTokenizer: vi.fn(),
-}));
-
-type AnthropicCreateArgs = [unknown, { signal?: AbortSignal }?];
-
-const anthropicMockState: {
-  constructorOptions?: Record<string, unknown>;
-  lastCreateArgs?: AnthropicCreateArgs;
-  createImpl: ReturnType<typeof vi.fn>;
-} = {
-  constructorOptions: undefined,
-  lastCreateArgs: undefined,
-  createImpl: vi.fn(),
-};
-
-vi.mock('@anthropic-ai/sdk', () => {
-  class AnthropicMock {
-    messages: { create: (...args: AnthropicCreateArgs) => unknown };
-
-    constructor(options: Record<string, unknown>) {
-      anthropicMockState.constructorOptions = options;
-      this.messages = {
-        create: (...args: AnthropicCreateArgs) => {
-          anthropicMockState.lastCreateArgs = args;
-          return anthropicMockState.createImpl(...args);
-        },
-      };
-    }
-  }
-
-  return {
-    default: AnthropicMock,
-    __anthropicState: anthropicMockState,
-  };
-});
-
-// Now import the modules that depend on the mocked modules.
-import type { Config } from '../../config/config.js';
-
-const importGenerator = async (): Promise<{
-  AnthropicContentGenerator: typeof import('./anthropicContentGenerator.js').AnthropicContentGenerator;
-}> => import('./anthropicContentGenerator.js');
-
-const importConverter = async (): Promise<{
-  AnthropicContentConverter: typeof import('./converter.js').AnthropicContentConverter;
-}> => import('./converter.js');
-
-describe('AnthropicContentGenerator', () => {
-  let mockConfig: Config;
-  let anthropicState: {
-    constructorOptions?: Record<string, unknown>;
-    lastCreateArgs?: AnthropicCreateArgs;
-    createImpl: ReturnType<typeof vi.fn>;
-  };
-
-  beforeEach(async () => {
-    vi.clearAllMocks();
-    vi.resetModules();
-
-    mockTokenizer.calculateTokens.mockResolvedValue({
-      totalTokens: 50,
-      breakdown: {
-        textTokens: 50,
-        imageTokens: 0,
-        audioTokens: 0,
-        otherTokens: 0,
-      },
-      processingTime: 1,
-    });
-    anthropicState = anthropicMockState;
-
-    anthropicState.createImpl.mockReset();
-    anthropicState.lastCreateArgs = undefined;
-    anthropicState.constructorOptions = undefined;
-
-    mockConfig = {
-      getCliVersion: vi.fn().mockReturnValue('1.2.3'),
-    } as unknown as Config;
-  });
-
-  afterEach(() => {
-    vi.restoreAllMocks();
-  });
-
-  it('passes a QwenCode User-Agent header to the Anthropic SDK', async () => {
-    const { AnthropicContentGenerator } = await importGenerator();
-    void new AnthropicContentGenerator(
-      {
-        model: 'claude-test',
-        apiKey: 'test-key',
-        baseUrl: 'https://example.invalid',
-        timeout: 10_000,
-        maxRetries: 2,
-        samplingParams: {},
-        schemaCompliance: 'auto',
-      },
-      mockConfig,
-    );
-
-    const headers = (anthropicState.constructorOptions?.['defaultHeaders'] ||
-      {}) as Record<string, string>;
-    expect(headers['User-Agent']).toContain('QwenCode/1.2.3');
-    expect(headers['User-Agent']).toContain(
-      `(${process.platform}; ${process.arch})`,
-    );
-  });
-
-  it('adds the effort beta header when reasoning.effort is set', async () => {
-    const { AnthropicContentGenerator } = await importGenerator();
-    void new AnthropicContentGenerator(
-      {
-        model: 'claude-test',
-        apiKey: 'test-key',
-        baseUrl: 'https://example.invalid',
-        timeout: 10_000,
-        maxRetries: 2,
-        samplingParams: {},
-        schemaCompliance: 'auto',
-        reasoning: { effort: 'medium' },
-      },
-      mockConfig,
-    );
-
-    const headers = (anthropicState.constructorOptions?.['defaultHeaders'] ||
-      {}) as Record<string, string>;
-    expect(headers['anthropic-beta']).toContain('effort-2025-11-24');
-  });
-
-  it('does not add the effort beta header when reasoning.effort is not set', async () => {
-    const { AnthropicContentGenerator } = await importGenerator();
-    void new AnthropicContentGenerator(
-      {
-        model: 'claude-test',
-        apiKey: 'test-key',
-        baseUrl: 'https://example.invalid',
-        timeout: 10_000,
-        maxRetries: 2,
-        samplingParams: {},
-        schemaCompliance: 'auto',
-      },
-      mockConfig,
-    );
-
-    const headers = (anthropicState.constructorOptions?.['defaultHeaders'] ||
-      {}) as Record<string, string>;
-    expect(headers['anthropic-beta']).not.toContain('effort-2025-11-24');
-  });
-
-  it('omits the anthropic beta header when reasoning is disabled', async () => {
-    const { AnthropicContentGenerator } = await importGenerator();
-    void new AnthropicContentGenerator(
-      {
-        model: 'claude-test',
-        apiKey: 'test-key',
-        baseUrl: 'https://example.invalid',
-        timeout: 10_000,
-        maxRetries: 2,
-        samplingParams: {},
-        schemaCompliance: 'auto',
-        reasoning: false,
-      },
-      mockConfig,
-    );
-
-    const headers = (anthropicState.constructorOptions?.['defaultHeaders'] ||
-      {}) as Record<string, string>;
-    expect(headers['anthropic-beta']).toBeUndefined();
-  });
-
-  describe('generateContent', () => {
-    it('builds request with config sampling params (config overrides request) and thinking budget', async () => {
-      const { AnthropicContentConverter } = await importConverter();
-      const { AnthropicContentGenerator } = await importGenerator();
-
-      const convertResponseSpy = vi
-        .spyOn(
-          AnthropicContentConverter.prototype,
-          'convertAnthropicResponseToGemini',
-        )
-        .mockReturnValue(
-          (() => {
-            const r = new GenerateContentResponse();
-            r.responseId = 'gemini-1';
-            return r;
-          })(),
-        );
-
-      anthropicState.createImpl.mockResolvedValue({
-        id: 'anthropic-1',
-        model: 'claude-test',
-        content: [{ type: 'text', text: 'hi' }],
-      });
-
-      const generator = new AnthropicContentGenerator(
-        {
-          model: 'claude-test',
-          apiKey: 'test-key',
-          baseUrl: 'https://example.invalid',
-          timeout: 10_000,
-          maxRetries: 2,
-          samplingParams: {
-            temperature: 0.7,
-            max_tokens: 1000,
-            top_p: 0.9,
-            top_k: 20,
-          },
-          schemaCompliance: 'auto',
-          reasoning: { effort: 'high', budget_tokens: 1000 },
-        },
-        mockConfig,
-      );
-
-      const abortController = new AbortController();
-      const request: GenerateContentParameters = {
-        model: 'models/ignored',
-        contents: 'Hello',
-        config: {
-          temperature: 0.1,
-          maxOutputTokens: 200,
-          topP: 0.5,
-          topK: 5,
-          abortSignal: abortController.signal,
-        },
-      };
-
-      const result = await generator.generateContent(request);
-      expect(result.responseId).toBe('gemini-1');
-
-      expect(anthropicState.lastCreateArgs).toBeDefined();
-      const [anthropicRequest, options] =
-        anthropicState.lastCreateArgs as AnthropicCreateArgs;
-
-      expect(options?.signal).toBe(abortController.signal);
-
-      expect(anthropicRequest).toEqual(
-        expect.objectContaining({
-          model: 'claude-test',
-          max_tokens: 1000,
-          temperature: 0.7,
-          top_p: 0.9,
-          top_k: 20,
-          thinking: { type: 'enabled', budget_tokens: 1000 },
-          output_config: { effort: 'high' },
-        }),
-      );
-
-      expect(convertResponseSpy).toHaveBeenCalledTimes(1);
-    });
-
-    it('omits thinking when request.config.thinkingConfig.includeThoughts is false', async () => {
-      const { AnthropicContentGenerator } = await importGenerator();
-      anthropicState.createImpl.mockResolvedValue({
-        id: 'anthropic-1',
-        model: 'claude-test',
-        content: [{ type: 'text', text: 'hi' }],
-      });
-
-      const generator = new AnthropicContentGenerator(
-        {
-          model: 'claude-test',
-          apiKey: 'test-key',
-          timeout: 10_000,
-          maxRetries: 2,
-          samplingParams: { max_tokens: 500 },
-          schemaCompliance: 'auto',
-          reasoning: { effort: 'high' },
-        },
-        mockConfig,
-      );
-
-      await generator.generateContent({
-        model: 'models/ignored',
-        contents: 'Hello',
-        config: { thinkingConfig: { includeThoughts: false } },
-      } as unknown as GenerateContentParameters);
-
-      const [anthropicRequest] =
-        anthropicState.lastCreateArgs as AnthropicCreateArgs;
-      expect(anthropicRequest).toEqual(
-        expect.not.objectContaining({ thinking: expect.anything() }),
-      );
-    });
-  });
-
-  describe('countTokens', () => {
-    it('counts tokens using the request tokenizer', async () => {
-      const { AnthropicContentGenerator } = await importGenerator();
-      const generator = new AnthropicContentGenerator(
-        {
-          model: 'claude-test',
-          apiKey: 'test-key',
-          timeout: 10_000,
-          maxRetries: 2,
-          samplingParams: {},
-          schemaCompliance: 'auto',
-        },
-        mockConfig,
-      );
-
-      const request: CountTokensParameters = {
-        contents: [{ role: 'user', parts: [{ text: 'Hello world' }] }],
-        model: 'claude-test',
-      };
-
-      const result = await generator.countTokens(request);
-      expect(mockTokenizer.calculateTokens).toHaveBeenCalledWith(request, {
-        textEncoding: 'cl100k_base',
-      });
-      expect(result.totalTokens).toBe(50);
-    });
-
-    it('falls back to character approximation when tokenizer throws', async () => {
-      const { AnthropicContentGenerator } = await importGenerator();
-      mockTokenizer.calculateTokens.mockRejectedValueOnce(new Error('boom'));
-      const generator = new AnthropicContentGenerator(
-        {
-          model: 'claude-test',
-          apiKey: 'test-key',
-          timeout: 10_000,
-          maxRetries: 2,
-          samplingParams: {},
-          schemaCompliance: 'auto',
-        },
-        mockConfig,
-      );
-
-      const request: CountTokensParameters = {
-        contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
-        model: 'claude-test',
-      };
-
-      const content = JSON.stringify(request.contents);
-      const expected = Math.ceil(content.length / 4);
-      const result = await generator.countTokens(request);
-      expect(result.totalTokens).toBe(expected);
-    });
-  });
-
-  describe('generateContentStream', () => {
-    it('requests stream=true and converts streamed events into Gemini chunks', async () => {
-      const { AnthropicContentGenerator } = await importGenerator();
-      anthropicState.createImpl.mockResolvedValue(
-        (async function* () {
-          yield {
-            type: 'message_start',
-            message: {
-              id: 'msg-1',
-              model: 'claude-test',
-              usage: { cache_read_input_tokens: 2, input_tokens: 3 },
-            },
-          };
-
-          yield {
-            type: 'content_block_start',
-            index: 0,
-            content_block: { type: 'text' },
-          };
-          yield {
-            type: 'content_block_delta',
-            index: 0,
-            delta: { type: 'text_delta', text: 'Hello' },
-          };
-          yield { type: 'content_block_stop', index: 0 };
-
-          yield {
-            type: 'content_block_start',
-            index: 1,
-            content_block: { type: 'thinking', signature: '' },
-          };
-          yield {
-            type: 'content_block_delta',
-            index: 1,
-            delta: { type: 'thinking_delta', thinking: 'Think' },
-          };
-          yield {
-            type: 'content_block_delta',
-            index: 1,
-            delta: { type: 'signature_delta', signature: 'abc' },
-          };
-          yield { type: 'content_block_stop', index: 1 };
-
-          yield {
-            type: 'content_block_start',
-            index: 2,
-            content_block: {
-              type: 'tool_use',
-              id: 't1',
-              name: 'tool',
-              input: {},
-            },
-          };
-          yield {
-            type: 'content_block_delta',
-            index: 2,
-            delta: { type: 'input_json_delta', partial_json: '{"x":' },
-          };
-          yield {
-            type: 'content_block_delta',
-            index: 2,
-            delta: { type: 'input_json_delta', partial_json: '1}' },
-          };
-          yield { type: 'content_block_stop', index: 2 };
-
-          yield {
-            type: 'message_delta',
-            delta: { stop_reason: 'end_turn' },
-            usage: {
-              output_tokens: 5,
-              input_tokens: 7,
-              cache_read_input_tokens: 2,
-            },
-          };
-          yield { type: 'message_stop' };
-        })(),
-      );
-
-      const generator = new AnthropicContentGenerator(
-        {
-          model: 'claude-test',
-          apiKey: 'test-key',
-          timeout: 10_000,
-          maxRetries: 2,
-          samplingParams: { max_tokens: 123 },
-          schemaCompliance: 'auto',
-        },
-        mockConfig,
-      );
-
-      const stream = await generator.generateContentStream({
-        model: 'models/ignored',
-        contents: 'Hello',
-      } as unknown as GenerateContentParameters);
-
-      const chunks: GenerateContentResponse[] = [];
-      for await (const chunk of stream) {
-        chunks.push(chunk);
-      }
-
-      const [anthropicRequest] =
-        anthropicState.lastCreateArgs as AnthropicCreateArgs;
-      expect(anthropicRequest).toEqual(
-        expect.objectContaining({ stream: true }),
-      );
-
-      // Text chunk.
-      expect(chunks[0]?.candidates?.[0]?.content?.parts?.[0]).toEqual({
-        text: 'Hello',
-      });
-
-      // Thinking chunk.
-      expect(chunks[1]?.candidates?.[0]?.content?.parts?.[0]).toEqual({
-        text: 'Think',
-        thought: true,
-      });
-
-      // Signature chunk.
-      expect(chunks[2]?.candidates?.[0]?.content?.parts?.[0]).toEqual({
-        thought: true,
-        thoughtSignature: 'abc',
-      });
-
-      // Tool call chunk.
-      expect(chunks[3]?.candidates?.[0]?.content?.parts?.[0]).toEqual({
-        functionCall: { id: 't1', name: 'tool', args: { x: 1 } },
-      });
-
-      // Usage/finish chunks exist; check the last one.
-      const last = chunks[chunks.length - 1]!;
-      expect(last.candidates?.[0]?.finishReason).toBe(FinishReason.STOP);
-      expect(last.usageMetadata).toEqual({
-        cachedContentTokenCount: 2,
-        promptTokenCount: 9, // cached(2) + input(7)
-        candidatesTokenCount: 5,
-        totalTokenCount: 14,
-      });
-    });
-  });
-});

packages/core/src/core/anthropicContentGenerator/anthropicContentGenerator.ts

@@ -1,502 +0,0 @@
-/**
- * @license
- * Copyright 2025 Qwen
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import Anthropic from '@anthropic-ai/sdk';
-import type {
-  CountTokensParameters,
-  CountTokensResponse,
-  EmbedContentParameters,
-  EmbedContentResponse,
-  GenerateContentParameters,
-  GenerateContentResponseUsageMetadata,
-  Part,
-} from '@google/genai';
-import { GenerateContentResponse } from '@google/genai';
-import type { Config } from '../../config/config.js';
-import type {
-  ContentGenerator,
-  ContentGeneratorConfig,
-} from '../contentGenerator.js';
-type Message = Anthropic.Message;
-type MessageCreateParamsNonStreaming =
-  Anthropic.MessageCreateParamsNonStreaming;
-type MessageCreateParamsStreaming = Anthropic.MessageCreateParamsStreaming;
-type RawMessageStreamEvent = Anthropic.RawMessageStreamEvent;
-import { getDefaultTokenizer } from '../../utils/request-tokenizer/index.js';
-import { safeJsonParse } from '../../utils/safeJsonParse.js';
-import { AnthropicContentConverter } from './converter.js';
-
-type StreamingBlockState = {
-  type: string;
-  id?: string;
-  name?: string;
-  inputJson: string;
-  signature: string;
-};
-
-type MessageCreateParamsWithThinking = MessageCreateParamsNonStreaming & {
-  thinking?: { type: 'enabled'; budget_tokens: number };
-  // Anthropic beta feature: output_config.effort (requires beta header effort-2025-11-24)
-  // This is not yet represented in the official SDK types we depend on.
-  output_config?: { effort: 'low' | 'medium' | 'high' };
-};
-
-export class AnthropicContentGenerator implements ContentGenerator {
-  private client: Anthropic;
-  private converter: AnthropicContentConverter;
-
-  constructor(
-    private contentGeneratorConfig: ContentGeneratorConfig,
-    private readonly cliConfig: Config,
-  ) {
-    const defaultHeaders = this.buildHeaders();
-    const baseURL = contentGeneratorConfig.baseUrl;
-
-    this.client = new Anthropic({
-      apiKey: contentGeneratorConfig.apiKey,
-      baseURL,
-      timeout: contentGeneratorConfig.timeout,
-      maxRetries: contentGeneratorConfig.maxRetries,
-      defaultHeaders,
-    });
-
-    this.converter = new AnthropicContentConverter(
-      contentGeneratorConfig.model,
-      contentGeneratorConfig.schemaCompliance,
-    );
-  }
-
-  async generateContent(
-    request: GenerateContentParameters,
-  ): Promise<GenerateContentResponse> {
-    const anthropicRequest = await this.buildRequest(request);
-    const response = (await this.client.messages.create(anthropicRequest, {
-      signal: request.config?.abortSignal,
-    })) as Message;
-
-    return this.converter.convertAnthropicResponseToGemini(response);
-  }
-
-  async generateContentStream(
-    request: GenerateContentParameters,
-  ): Promise<AsyncGenerator<GenerateContentResponse>> {
-    const anthropicRequest = await this.buildRequest(request);
-    const streamingRequest: MessageCreateParamsStreaming & {
-      thinking?: { type: 'enabled'; budget_tokens: number };
-    } = {
-      ...anthropicRequest,
-      stream: true,
-    };
-
-    const stream = (await this.client.messages.create(
-      streamingRequest as MessageCreateParamsStreaming,
-      {
-        signal: request.config?.abortSignal,
-      },
-    )) as AsyncIterable<RawMessageStreamEvent>;
-
-    return this.processStream(stream);
-  }
-
-  async countTokens(
-    request: CountTokensParameters,
-  ): Promise<CountTokensResponse> {
-    try {
-      const tokenizer = getDefaultTokenizer();
-      const result = await tokenizer.calculateTokens(request, {
-        textEncoding: 'cl100k_base',
-      });
-
-      return {
-        totalTokens: result.totalTokens,
-      };
-    } catch (error) {
-      console.warn(
-        'Failed to calculate tokens with tokenizer, ' +
-          'falling back to simple method:',
-        error,
-      );
-
-      const content = JSON.stringify(request.contents);
-      const totalTokens = Math.ceil(content.length / 4);
-      return {
-        totalTokens,
-      };
-    }
-  }
-
-  async embedContent(
-    _request: EmbedContentParameters,
-  ): Promise<EmbedContentResponse> {
-    throw new Error('Anthropic does not support embeddings.');
-  }
-
-  useSummarizedThinking(): boolean {
-    return false;
-  }
-
-  private buildHeaders(): Record<string, string> {
-    const version = this.cliConfig.getCliVersion() || 'unknown';
-    const userAgent = `QwenCode/${version} (${process.platform}; ${process.arch})`;
-
-    const betas: string[] = [];
-    const reasoning = this.contentGeneratorConfig.reasoning;
-
-    // Interleaved thinking is used when we send the `thinking` field.
-    if (reasoning !== false) {
-      betas.push('interleaved-thinking-2025-05-14');
-    }
-
-    // Effort (beta) is enabled when reasoning.effort is set.
-    if (reasoning !== false && reasoning?.effort !== undefined) {
-      betas.push('effort-2025-11-24');
-    }
-
-    const headers: Record<string, string> = {
-      'User-Agent': userAgent,
-    };
-
-    if (betas.length) {
-      headers['anthropic-beta'] = betas.join(',');
-    }
-
-    return headers;
-  }
-
-  private async buildRequest(
-    request: GenerateContentParameters,
-  ): Promise<MessageCreateParamsWithThinking> {
-    const { system, messages } =
-      this.converter.convertGeminiRequestToAnthropic(request);
-
-    const tools = request.config?.tools
-      ? await this.converter.convertGeminiToolsToAnthropic(request.config.tools)
-      : undefined;
-
-    const sampling = this.buildSamplingParameters(request);
-    const thinking = this.buildThinkingConfig(request);
-    const outputConfig = this.buildOutputConfig();
-
-    return {
-      model: this.contentGeneratorConfig.model,
-      system,
-      messages,
-      tools,
-      ...sampling,
-      ...(thinking ? { thinking } : {}),
-      ...(outputConfig ? { output_config: outputConfig } : {}),
-    };
-  }
-
-  private buildSamplingParameters(request: GenerateContentParameters): {
-    max_tokens: number;
-    temperature?: number;
-    top_p?: number;
-    top_k?: number;
-  } {
-    const configSamplingParams = this.contentGeneratorConfig.samplingParams;
-    const requestConfig = request.config || {};
-
-    const getParam = <T>(
-      configKey: keyof NonNullable<typeof configSamplingParams>,
-      requestKey?: keyof NonNullable<typeof requestConfig>,
-    ): T | undefined => {
-      const configValue = configSamplingParams?.[configKey] as T | undefined;
-      const requestValue = requestKey
-        ? (requestConfig[requestKey] as T | undefined)
-        : undefined;
-      return configValue !== undefined ? configValue : requestValue;
-    };
-
-    const maxTokens =
-      getParam<number>('max_tokens', 'maxOutputTokens') ?? 10_000;
-
-    return {
-      max_tokens: maxTokens,
-      temperature: getParam<number>('temperature', 'temperature') ?? 1,
-      top_p: getParam<number>('top_p', 'topP'),
-      top_k: getParam<number>('top_k', 'topK'),
-    };
-  }
-
-  private buildThinkingConfig(
-    request: GenerateContentParameters,
-  ): { type: 'enabled'; budget_tokens: number } | undefined {
-    if (request.config?.thinkingConfig?.includeThoughts === false) {
-      return undefined;
-    }
-
-    const reasoning = this.contentGeneratorConfig.reasoning;
-
-    if (reasoning === false) {
-      return undefined;
-    }
-
-    if (reasoning?.budget_tokens !== undefined) {
-      return {
-        type: 'enabled',
-        budget_tokens: reasoning.budget_tokens,
-      };
-    }
-
-    const effort = reasoning?.effort;
-    // When using interleaved thinking with tools, this budget token limit is the entire context window(200k tokens).
-    const budgetTokens =
-      effort === 'low' ? 16_000 : effort === 'high' ? 64_000 : 32_000;
-
-    return {
-      type: 'enabled',
-      budget_tokens: budgetTokens,
-    };
-  }
-
-  private buildOutputConfig():
-    | { effort: 'low' | 'medium' | 'high' }
-    | undefined {
-    const reasoning = this.contentGeneratorConfig.reasoning;
-    if (reasoning === false || reasoning === undefined) {
-      return undefined;
-    }
-
-    if (reasoning.effort === undefined) {
-      return undefined;
-    }
-
-    return { effort: reasoning.effort };
-  }
-
-  private async *processStream(
-    stream: AsyncIterable<RawMessageStreamEvent>,
-  ): AsyncGenerator<GenerateContentResponse> {
-    let messageId: string | undefined;
-    let model = this.contentGeneratorConfig.model;
-    let cachedTokens = 0;
-    let promptTokens = 0;
-    let completionTokens = 0;
-    let finishReason: string | undefined;
-
-    const blocks = new Map<number, StreamingBlockState>();
-    const collectedResponses: GenerateContentResponse[] = [];
-
-    for await (const event of stream) {
-      switch (event.type) {
-        case 'message_start': {
-          messageId = event.message.id ?? messageId;
-          model = event.message.model ?? model;
-          cachedTokens =
-            event.message.usage?.cache_read_input_tokens ?? cachedTokens;
-          promptTokens = event.message.usage?.input_tokens ?? promptTokens;
-          break;
-        }
-        case 'content_block_start': {
-          const index = event.index ?? 0;
-          const type = String(event.content_block.type || 'text');
-          const initialInput =
-            type === 'tool_use' && 'input' in event.content_block
-              ? JSON.stringify(event.content_block.input)
-              : '';
-          blocks.set(index, {
-            type,
-            id:
-              'id' in event.content_block ? event.content_block.id : undefined,
-            name:
-              'name' in event.content_block
-                ? event.content_block.name
-                : undefined,
-            inputJson: initialInput !== '{}' ? initialInput : '',
-            signature:
-              type === 'thinking' &&
-              'signature' in event.content_block &&
-              typeof event.content_block.signature === 'string'
-                ? event.content_block.signature
-                : '',
-          });
-          break;
-        }
-        case 'content_block_delta': {
-          const index = event.index ?? 0;
-          const deltaType = (event.delta as { type?: string }).type || '';
-          const blockState = blocks.get(index);
-
-          if (deltaType === 'text_delta') {
-            const text = 'text' in event.delta ? event.delta.text : '';
-            if (text) {
-              const chunk = this.buildGeminiChunk({ text }, messageId, model);
-              collectedResponses.push(chunk);
-              yield chunk;
-            }
-          } else if (deltaType === 'thinking_delta') {
-            const thinking =
-              (event.delta as { thinking?: string }).thinking || '';
-            if (thinking) {
-              const chunk = this.buildGeminiChunk(
-                { text: thinking, thought: true },
-                messageId,
-                model,
-              );
-              collectedResponses.push(chunk);
-              yield chunk;
-            }
-          } else if (deltaType === 'signature_delta' && blockState) {
-            const signature =
-              (event.delta as { signature?: string }).signature || '';
-            if (signature) {
-              blockState.signature += signature;
-              const chunk = this.buildGeminiChunk(
-                { thought: true, thoughtSignature: signature },
-                messageId,
-                model,
-              );
-              collectedResponses.push(chunk);
-              yield chunk;
-            }
-          } else if (deltaType === 'input_json_delta' && blockState) {
-            const jsonDelta =
-              (event.delta as { partial_json?: string }).partial_json || '';
-            if (jsonDelta) {
-              blockState.inputJson += jsonDelta;
-            }
-          }
-          break;
-        }
-        case 'content_block_stop': {
-          const index = event.index ?? 0;
-          const blockState = blocks.get(index);
-          if (blockState?.type === 'tool_use') {
-            const args = safeJsonParse(blockState.inputJson || '{}', {});
-            const chunk = this.buildGeminiChunk(
-              {
-                functionCall: {
-                  id: blockState.id,
-                  name: blockState.name,
-                  args,
-                },
-              },
-              messageId,
-              model,
-            );
-            collectedResponses.push(chunk);
-            yield chunk;
-          }
-          blocks.delete(index);
-          break;
-        }
-        case 'message_delta': {
-          const stopReasonValue = event.delta.stop_reason;
-          if (stopReasonValue) {
-            finishReason = stopReasonValue;
-          }
-
-          // Some Anthropic-compatible providers may include additional usage fields
-          // (e.g. `input_tokens`, `cache_read_input_tokens`) even though the official
-          // Anthropic SDK types only expose `output_tokens` here.
-          const usageUnknown = event.usage as unknown;
-          const usageRecord =
-            usageUnknown && typeof usageUnknown === 'object'
-              ? (usageUnknown as Record<string, unknown>)
-              : undefined;
-
-          if (event.usage?.output_tokens !== undefined) {
-            completionTokens = event.usage.output_tokens;
-          }
-          if (usageRecord?.['input_tokens'] !== undefined) {
-            const inputTokens = usageRecord['input_tokens'];
-            if (typeof inputTokens === 'number') {
-              promptTokens = inputTokens;
-            }
-          }
-          if (usageRecord?.['cache_read_input_tokens'] !== undefined) {
-            const cacheRead = usageRecord['cache_read_input_tokens'];
-            if (typeof cacheRead === 'number') {
-              cachedTokens = cacheRead;
-            }
-          }
-
-          if (finishReason || event.usage) {
-            const chunk = this.buildGeminiChunk(
-              undefined,
-              messageId,
-              model,
-              finishReason,
-              {
-                cachedContentTokenCount: cachedTokens,
-                promptTokenCount: cachedTokens + promptTokens,
-                candidatesTokenCount: completionTokens,
-                totalTokenCount: cachedTokens + promptTokens + completionTokens,
-              },
-            );
-            collectedResponses.push(chunk);
-            yield chunk;
-          }
-          break;
-        }
-        case 'message_stop': {
-          if (promptTokens || completionTokens) {
-            const chunk = this.buildGeminiChunk(
-              undefined,
-              messageId,
-              model,
-              finishReason,
-              {
-                cachedContentTokenCount: cachedTokens,
-                promptTokenCount: cachedTokens + promptTokens,
-                candidatesTokenCount: completionTokens,
-                totalTokenCount: cachedTokens + promptTokens + completionTokens,
-              },
-            );
-            collectedResponses.push(chunk);
-            yield chunk;
-          }
-          break;
-        }
-        default:
-          break;
-      }
-    }
-  }
-
-  private buildGeminiChunk(
-    part?: {
-      text?: string;
-      thought?: boolean;
-      thoughtSignature?: string;
-      functionCall?: unknown;
-    },
-    responseId?: string,
-    model?: string,
-    finishReason?: string,
-    usageMetadata?: GenerateContentResponseUsageMetadata,
-  ): GenerateContentResponse {
-    const response = new GenerateContentResponse();
-    response.responseId = responseId;
-    response.createTime = Date.now().toString();
-    response.modelVersion = model || this.contentGeneratorConfig.model;
-    response.promptFeedback = { safetyRatings: [] };
-
-    const candidateParts = part ? [part as unknown as Part] : [];
-    const mappedFinishReason =
-      finishReason !== undefined
-        ? this.converter.mapAnthropicFinishReasonToGemini(finishReason)
-        : undefined;
-    response.candidates = [
-      {
-        content: {
-          parts: candidateParts,
-          role: 'model' as const,
-        },
-        index: 0,
-        safetyRatings: [],
-        ...(mappedFinishReason ? { finishReason: mappedFinishReason } : {}),
-      },
-    ];
-
-    if (usageMetadata) {
-      response.usageMetadata = usageMetadata;
-    }
-
-    return response;
-  }
-}

packages/core/src/core/anthropicContentGenerator/converter.test.ts

@@ -1,377 +0,0 @@
-/**
- * @license
- * Copyright 2025 Qwen
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import { beforeEach, describe, expect, it, vi } from 'vitest';
-import type { CallableTool, Content, Tool } from '@google/genai';
-import { FinishReason } from '@google/genai';
-import type Anthropic from '@anthropic-ai/sdk';
-
-// Mock schema conversion so we can force edge-cases (e.g. missing `type`).
-vi.mock('../../utils/schemaConverter.js', () => ({
-  convertSchema: vi.fn((schema: unknown) => schema),
-}));
-
-import { convertSchema } from '../../utils/schemaConverter.js';
-import { AnthropicContentConverter } from './converter.js';
-
-describe('AnthropicContentConverter', () => {
-  let converter: AnthropicContentConverter;
-
-  beforeEach(() => {
-    vi.clearAllMocks();
-    converter = new AnthropicContentConverter('test-model', 'auto');
-  });
-
-  describe('convertGeminiRequestToAnthropic', () => {
-    it('extracts systemInstruction text from string', () => {
-      const { system } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: 'hi',
-        config: { systemInstruction: 'sys' },
-      });
-
-      expect(system).toBe('sys');
-    });
-
-    it('extracts systemInstruction text from parts and joins with newlines', () => {
-      const { system } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: 'hi',
-        config: {
-          systemInstruction: {
-            role: 'system',
-            parts: [{ text: 'a' }, { text: 'b' }],
-          } as unknown as Content,
-        },
-      });
-
-      expect(system).toBe('a\nb');
-    });
-
-    it('converts a plain string content into a user message', () => {
-      const { messages } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: 'Hello',
-      });
-
-      expect(messages).toEqual([
-        { role: 'user', content: [{ type: 'text', text: 'Hello' }] },
-      ]);
-    });
-
-    it('converts user content parts into a user message with text blocks', () => {
-      const { messages } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: [
-          {
-            role: 'user',
-            parts: [{ text: 'Hello' }, { text: 'World' }],
-          },
-        ],
-      });
-
-      expect(messages).toEqual([
-        {
-          role: 'user',
-          content: [
-            { type: 'text', text: 'Hello' },
-            { type: 'text', text: 'World' },
-          ],
-        },
-      ]);
-    });
-
-    it('converts assistant thought parts into Anthropic thinking blocks', () => {
-      const { messages } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: [
-          {
-            role: 'model',
-            parts: [
-              { text: 'internal', thought: true, thoughtSignature: 'sig' },
-              { text: 'visible' },
-            ],
-          },
-        ],
-      });
-
-      expect(messages).toEqual([
-        {
-          role: 'assistant',
-          content: [
-            { type: 'thinking', thinking: 'internal', signature: 'sig' },
-            { type: 'text', text: 'visible' },
-          ],
-        },
-      ]);
-    });
-
-    it('converts functionCall parts from model role into tool_use blocks', () => {
-      const { messages } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: [
-          {
-            role: 'model',
-            parts: [
-              { text: 'preface' },
-              {
-                functionCall: {
-                  id: 'call-1',
-                  name: 'tool_name',
-                  args: { a: 1 },
-                },
-              },
-            ],
-          },
-        ],
-      });
-
-      expect(messages).toEqual([
-        {
-          role: 'assistant',
-          content: [
-            { type: 'text', text: 'preface' },
-            {
-              type: 'tool_use',
-              id: 'call-1',
-              name: 'tool_name',
-              input: { a: 1 },
-            },
-          ],
-        },
-      ]);
-    });
-
-    it('converts functionResponse parts into user tool_result messages', () => {
-      const { messages } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: [
-          {
-            role: 'user',
-            parts: [
-              {
-                functionResponse: {
-                  id: 'call-1',
-                  name: 'tool_name',
-                  response: { output: 'ok' },
-                },
-              },
-            ],
-          },
-        ],
-      });
-
-      expect(messages).toEqual([
-        {
-          role: 'user',
-          content: [
-            {
-              type: 'tool_result',
-              tool_use_id: 'call-1',
-              content: 'ok',
-            },
-          ],
-        },
-      ]);
-    });
-
-    it('extracts function response error field when present', () => {
-      const { messages } = converter.convertGeminiRequestToAnthropic({
-        model: 'models/test',
-        contents: [
-          {
-            role: 'user',
-            parts: [
-              {
-                functionResponse: {
-                  id: 'call-1',
-                  name: 'tool_name',
-                  response: { error: 'boom' },
-                },
-              },
-            ],
-          },
-        ],
-      });
-
-      expect(messages[0]).toEqual({
-        role: 'user',
-        content: [
-          {
-            type: 'tool_result',
-            tool_use_id: 'call-1',
-            content: 'boom',
-          },
-        ],
-      });
-    });
-  });
-
-  describe('convertGeminiToolsToAnthropic', () => {
-    it('converts Tool.functionDeclarations to Anthropic tools and runs schema conversion', async () => {
-      const tools = [
-        {
-          functionDeclarations: [
-            {
-              name: 'get_weather',
-              description: 'Get weather',
-              parametersJsonSchema: {
-                type: 'object',
-                properties: { location: { type: 'string' } },
-                required: ['location'],
-              },
-            },
-          ],
-        },
-      ] as Tool[];
-
-      const result = await converter.convertGeminiToolsToAnthropic(tools);
-
-      expect(result).toHaveLength(1);
-      expect(result[0]).toEqual({
-        name: 'get_weather',
-        description: 'Get weather',
-        input_schema: {
-          type: 'object',
-          properties: { location: { type: 'string' } },
-          required: ['location'],
-        },
-      });
-
-      expect(vi.mocked(convertSchema)).toHaveBeenCalledTimes(1);
-    });
-
-    it('resolves CallableTool.tool() and converts its functionDeclarations', async () => {
-      const callable = [
-        {
-          tool: async () =>
-            ({
-              functionDeclarations: [
-                {
-                  name: 'dynamic_tool',
-                  description: 'resolved tool',
-                  parametersJsonSchema: { type: 'object', properties: {} },
-                },
-              ],
-            }) as unknown as Tool,
-        },
-      ] as CallableTool[];
-
-      const result = await converter.convertGeminiToolsToAnthropic(callable);
-
-      expect(result).toHaveLength(1);
-      expect(result[0].name).toBe('dynamic_tool');
-    });
-
-    it('defaults missing parameters to an empty object schema', async () => {
-      const tools = [
-        {
-          functionDeclarations: [
-            { name: 'no_params', description: 'no params' },
-          ],
-        },
-      ] as Tool[];
-
-      const result = await converter.convertGeminiToolsToAnthropic(tools);
-
-      expect(result).toHaveLength(1);
-      expect(result[0]).toEqual({
-        name: 'no_params',
-        description: 'no params',
-        input_schema: { type: 'object', properties: {} },
-      });
-    });
-
-    it('forces input_schema.type to "object" when schema conversion yields no type', async () => {
-      vi.mocked(convertSchema).mockImplementationOnce(() => ({
-        properties: {},
-      }));
-      const tools = [
-        {
-          functionDeclarations: [
-            {
-              name: 'edge',
-              description: 'edge',
-              parametersJsonSchema: { type: 'object', properties: {} },
-            },
-          ],
-        },
-      ] as Tool[];
-
-      const result = await converter.convertGeminiToolsToAnthropic(tools);
-      expect(result[0]?.input_schema?.type).toBe('object');
-    });
-  });
-
-  describe('convertAnthropicResponseToGemini', () => {
-    it('converts text, tool_use, thinking, and redacted_thinking blocks', () => {
-      const response = converter.convertAnthropicResponseToGemini({
-        id: 'msg-1',
-        model: 'claude-test',
-        stop_reason: 'end_turn',
-        content: [
-          { type: 'thinking', thinking: 'thought', signature: 'sig' },
-          { type: 'text', text: 'hello' },
-          { type: 'tool_use', id: 't1', name: 'tool', input: { x: 1 } },
-          { type: 'redacted_thinking' },
-        ],
-        usage: { input_tokens: 3, output_tokens: 5 },
-      } as unknown as Anthropic.Message);
-
-      expect(response.responseId).toBe('msg-1');
-      expect(response.modelVersion).toBe('claude-test');
-      expect(response.candidates?.[0]?.finishReason).toBe(FinishReason.STOP);
-      expect(response.usageMetadata).toEqual({
-        promptTokenCount: 3,
-        candidatesTokenCount: 5,
-        totalTokenCount: 8,
-      });
-
-      const parts = response.candidates?.[0]?.content?.parts || [];
-      expect(parts).toEqual([
-        { text: 'thought', thought: true, thoughtSignature: 'sig' },
-        { text: 'hello' },
-        { functionCall: { id: 't1', name: 'tool', args: { x: 1 } } },
-        { text: '', thought: true },
-      ]);
-    });
-
-    it('handles tool_use input that is a JSON string', () => {
-      const response = converter.convertAnthropicResponseToGemini({
-        id: 'msg-1',
-        model: 'claude-test',
-        stop_reason: null,
-        content: [
-          { type: 'tool_use', id: 't1', name: 'tool', input: '{"x":1}' },
-        ],
-      } as unknown as Anthropic.Message);
-
-      const parts = response.candidates?.[0]?.content?.parts || [];
-      expect(parts).toEqual([
-        { functionCall: { id: 't1', name: 'tool', args: { x: 1 } } },
-      ]);
-    });
-  });
-
-  describe('mapAnthropicFinishReasonToGemini', () => {
-    it('maps known reasons', () => {
-      expect(converter.mapAnthropicFinishReasonToGemini('end_turn')).toBe(
-        FinishReason.STOP,
-      );
-      expect(converter.mapAnthropicFinishReasonToGemini('max_tokens')).toBe(
-        FinishReason.MAX_TOKENS,
-      );
-      expect(converter.mapAnthropicFinishReasonToGemini('content_filter')).toBe(
-        FinishReason.SAFETY,
-      );
-    });
-
-    it('returns undefined for null/empty', () => {
-      expect(converter.mapAnthropicFinishReasonToGemini(null)).toBeUndefined();
-      expect(converter.mapAnthropicFinishReasonToGemini('')).toBeUndefined();
-    });
-  });
-});

packages/core/src/core/anthropicContentGenerator/converter.ts

@@ -1,448 +0,0 @@
-/**
- * @license
- * Copyright 2025 Qwen
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import type {
-  Candidate,
-  CallableTool,
-  Content,
-  ContentListUnion,
-  ContentUnion,
-  FunctionCall,
-  FunctionResponse,
-  GenerateContentParameters,
-  Part,
-  PartUnion,
-  Tool,
-  ToolListUnion,
-} from '@google/genai';
-import { FinishReason, GenerateContentResponse } from '@google/genai';
-import type Anthropic from '@anthropic-ai/sdk';
-import { safeJsonParse } from '../../utils/safeJsonParse.js';
-import {
-  convertSchema,
-  type SchemaComplianceMode,
-} from '../../utils/schemaConverter.js';
-
-type AnthropicMessageParam = Anthropic.MessageParam;
-type AnthropicToolParam = Anthropic.Tool;
-type AnthropicContentBlockParam = Anthropic.ContentBlockParam;
-
-type ThoughtPart = { text: string; signature?: string };
-
-interface ParsedParts {
-  thoughtParts: ThoughtPart[];
-  contentParts: string[];
-  functionCalls: FunctionCall[];
-  functionResponses: FunctionResponse[];
-}
-
-export class AnthropicContentConverter {
-  private model: string;
-  private schemaCompliance: SchemaComplianceMode;
-
-  constructor(model: string, schemaCompliance: SchemaComplianceMode = 'auto') {
-    this.model = model;
-    this.schemaCompliance = schemaCompliance;
-  }
-
-  convertGeminiRequestToAnthropic(request: GenerateContentParameters): {
-    system?: string;
-    messages: AnthropicMessageParam[];
-  } {
-    const messages: AnthropicMessageParam[] = [];
-
-    const system = this.extractTextFromContentUnion(
-      request.config?.systemInstruction,
-    );
-
-    this.processContents(request.contents, messages);
-
-    return {
-      system: system || undefined,
-      messages,
-    };
-  }
-
-  async convertGeminiToolsToAnthropic(
-    geminiTools: ToolListUnion,
-  ): Promise<AnthropicToolParam[]> {
-    const tools: AnthropicToolParam[] = [];
-
-    for (const tool of geminiTools) {
-      let actualTool: Tool;
-
-      if ('tool' in tool) {
-        actualTool = await (tool as CallableTool).tool();
-      } else {
-        actualTool = tool as Tool;
-      }
-
-      if (!actualTool.functionDeclarations) {
-        continue;
-      }
-
-      for (const func of actualTool.functionDeclarations) {
-        if (!func.name) continue;
-
-        let inputSchema: Record<string, unknown> | undefined;
-        if (func.parametersJsonSchema) {
-          inputSchema = {
-            ...(func.parametersJsonSchema as Record<string, unknown>),
-          };
-        } else if (func.parameters) {
-          inputSchema = func.parameters as Record<string, unknown>;
-        }
-
-        if (!inputSchema) {
-          inputSchema = { type: 'object', properties: {} };
-        }
-
-        inputSchema = convertSchema(inputSchema, this.schemaCompliance);
-        if (typeof inputSchema['type'] !== 'string') {
-          inputSchema['type'] = 'object';
-        }
-
-        tools.push({
-          name: func.name,
-          description: func.description,
-          input_schema: inputSchema as Anthropic.Tool.InputSchema,
-        });
-      }
-    }
-
-    return tools;
-  }
-
-  convertAnthropicResponseToGemini(
-    response: Anthropic.Message,
-  ): GenerateContentResponse {
-    const geminiResponse = new GenerateContentResponse();
-    const parts: Part[] = [];
-
-    for (const block of response.content || []) {
-      const blockType = String((block as { type?: string })['type'] || '');
-      if (blockType === 'text') {
-        const text =
-          typeof (block as { text?: string }).text === 'string'
-            ? (block as { text?: string }).text
-            : '';
-        if (text) {
-          parts.push({ text });
-        }
-      } else if (blockType === 'tool_use') {
-        const toolUse = block as {
-          id?: string;
-          name?: string;
-          input?: unknown;
-        };
-        parts.push({
-          functionCall: {
-            id: typeof toolUse.id === 'string' ? toolUse.id : undefined,
-            name: typeof toolUse.name === 'string' ? toolUse.name : undefined,
-            args: this.safeInputToArgs(toolUse.input),
-          },
-        });
-      } else if (blockType === 'thinking') {
-        const thinking =
-          typeof (block as { thinking?: string }).thinking === 'string'
-            ? (block as { thinking?: string }).thinking
-            : '';
-        const signature =
-          typeof (block as { signature?: string }).signature === 'string'
-            ? (block as { signature?: string }).signature
-            : '';
-        if (thinking || signature) {
-          const thoughtPart: Part = {
-            text: thinking,
-            thought: true,
-            thoughtSignature: signature,
-          };
-          parts.push(thoughtPart);
-        }
-      } else if (blockType === 'redacted_thinking') {
-        parts.push({ text: '', thought: true });
-      }
-    }
-
-    const candidate: Candidate = {
-      content: {
-        parts,
-        role: 'model' as const,
-      },
-      index: 0,
-      safetyRatings: [],
-    };
-
-    const finishReason = this.mapAnthropicFinishReasonToGemini(
-      response.stop_reason,
-    );
-    if (finishReason) {
-      candidate.finishReason = finishReason;
-    }
-
-    geminiResponse.candidates = [candidate];
-    geminiResponse.responseId = response.id;
-    geminiResponse.createTime = Date.now().toString();
-    geminiResponse.modelVersion = response.model || this.model;
-    geminiResponse.promptFeedback = { safetyRatings: [] };
-
-    if (response.usage) {
-      const promptTokens = response.usage.input_tokens || 0;
-      const completionTokens = response.usage.output_tokens || 0;
-      geminiResponse.usageMetadata = {
-        promptTokenCount: promptTokens,
-        candidatesTokenCount: completionTokens,
-        totalTokenCount: promptTokens + completionTokens,
-      };
-    }
-
-    return geminiResponse;
-  }
-
-  private processContents(
-    contents: ContentListUnion,
-    messages: AnthropicMessageParam[],
-  ): void {
-    if (Array.isArray(contents)) {
-      for (const content of contents) {
-        this.processContent(content, messages);
-      }
-    } else if (contents) {
-      this.processContent(contents, messages);
-    }
-  }
-
-  private processContent(
-    content: ContentUnion | PartUnion,
-    messages: AnthropicMessageParam[],
-  ): void {
-    if (typeof content === 'string') {
-      messages.push({
-        role: 'user',
-        content: [{ type: 'text', text: content }],
-      });
-      return;
-    }
-
-    if (!this.isContentObject(content)) return;
-
-    const parsed = this.parseParts(content.parts || []);
-
-    if (parsed.functionResponses.length > 0) {
-      for (const response of parsed.functionResponses) {
-        messages.push({
-          role: 'user',
-          content: [
-            {
-              type: 'tool_result',
-              tool_use_id: response.id || '',
-              content: this.extractFunctionResponseContent(response.response),
-            },
-          ],
-        });
-      }
-      return;
-    }
-
-    if (content.role === 'model' && parsed.functionCalls.length > 0) {
-      const thinkingBlocks: AnthropicContentBlockParam[] =
-        parsed.thoughtParts.map((part) => {
-          const thinkingBlock: unknown = {
-            type: 'thinking',
-            thinking: part.text,
-          };
-          if (part.signature) {
-            (thinkingBlock as { signature?: string }).signature =
-              part.signature;
-          }
-          return thinkingBlock as AnthropicContentBlockParam;
-        });
-      const toolUses: AnthropicContentBlockParam[] = parsed.functionCalls.map(
-        (call, index) => ({
-          type: 'tool_use',
-          id: call.id || `tool_${index}`,
-          name: call.name || '',
-          input: (call.args as Record<string, unknown>) || {},
-        }),
-      );
-
-      const textBlocks: AnthropicContentBlockParam[] = parsed.contentParts.map(
-        (text) => ({
-          type: 'text' as const,
-          text,
-        }),
-      );
-
-      messages.push({
-        role: 'assistant',
-        content: [...thinkingBlocks, ...textBlocks, ...toolUses],
-      });
-      return;
-    }
-
-    const role = content.role === 'model' ? 'assistant' : 'user';
-    const thinkingBlocks: AnthropicContentBlockParam[] =
-      role === 'assistant'
-        ? parsed.thoughtParts.map((part) => {
-            const thinkingBlock: unknown = {
-              type: 'thinking',
-              thinking: part.text,
-            };
-            if (part.signature) {
-              (thinkingBlock as { signature?: string }).signature =
-                part.signature;
-            }
-            return thinkingBlock as AnthropicContentBlockParam;
-          })
-        : [];
-    const textBlocks: AnthropicContentBlockParam[] = [
-      ...thinkingBlocks,
-      ...parsed.contentParts.map((text) => ({
-        type: 'text' as const,
-        text,
-      })),
-    ];
-    if (textBlocks.length > 0) {
-      messages.push({ role, content: textBlocks });
-    }
-  }
-
-  private parseParts(parts: Part[]): ParsedParts {
-    const thoughtParts: ThoughtPart[] = [];
-    const contentParts: string[] = [];
-    const functionCalls: FunctionCall[] = [];
-    const functionResponses: FunctionResponse[] = [];
-
-    for (const part of parts) {
-      if (typeof part === 'string') {
-        contentParts.push(part);
-      } else if (
-        'text' in part &&
-        part.text &&
-        !('thought' in part && part.thought)
-      ) {
-        contentParts.push(part.text);
-      } else if ('text' in part && 'thought' in part && part.thought) {
-        thoughtParts.push({
-          text: part.text || '',
-          signature:
-            'thoughtSignature' in part &&
-            typeof part.thoughtSignature === 'string'
-              ? part.thoughtSignature
-              : undefined,
-        });
-      } else if ('functionCall' in part && part.functionCall) {
-        functionCalls.push(part.functionCall);
-      } else if ('functionResponse' in part && part.functionResponse) {
-        functionResponses.push(part.functionResponse);
-      }
-    }
-
-    return {
-      thoughtParts,
-      contentParts,
-      functionCalls,
-      functionResponses,
-    };
-  }
-
-  private extractTextFromContentUnion(contentUnion: unknown): string {
-    if (typeof contentUnion === 'string') {
-      return contentUnion;
-    }
-
-    if (Array.isArray(contentUnion)) {
-      return contentUnion
-        .map((item) => this.extractTextFromContentUnion(item))
-        .filter(Boolean)
-        .join('\n');
-    }
-
-    if (typeof contentUnion === 'object' && contentUnion !== null) {
-      if ('parts' in contentUnion) {
-        const content = contentUnion as Content;
-        return (
-          content.parts
-            ?.map((part: Part) => {
-              if (typeof part === 'string') return part;
-              if ('text' in part) return part.text || '';
-              return '';
-            })
-            .filter(Boolean)
-            .join('\n') || ''
-        );
-      }
-    }
-
-    return '';
-  }
-
-  private extractFunctionResponseContent(response: unknown): string {
-    if (response === null || response === undefined) {
-      return '';
-    }
-
-    if (typeof response === 'string') {
-      return response;
-    }
-
-    if (typeof response === 'object') {
-      const responseObject = response as Record<string, unknown>;
-      const output = responseObject['output'];
-      if (typeof output === 'string') {
-        return output;
-      }
-
-      const error = responseObject['error'];
-      if (typeof error === 'string') {
-        return error;
-      }
-    }
-
-    try {
-      const serialized = JSON.stringify(response);
-      return serialized ?? String(response);
-    } catch {
-      return String(response);
-    }
-  }
-
-  private safeInputToArgs(input: unknown): Record<string, unknown> {
-    if (input && typeof input === 'object') {
-      return input as Record<string, unknown>;
-    }
-    if (typeof input === 'string') {
-      return safeJsonParse(input, {});
-    }
-    return {};
-  }
-
-  mapAnthropicFinishReasonToGemini(
-    reason?: string | null,
-  ): FinishReason | undefined {
-    if (!reason) return undefined;
-    const mapping: Record<string, FinishReason> = {
-      end_turn: FinishReason.STOP,
-      stop_sequence: FinishReason.STOP,
-      tool_use: FinishReason.STOP,
-      max_tokens: FinishReason.MAX_TOKENS,
-      content_filter: FinishReason.SAFETY,
-    };
-    return mapping[reason] || FinishReason.FINISH_REASON_UNSPECIFIED;
-  }
-
-  private isContentObject(
-    content: unknown,
-  ): content is { role: string; parts: Part[] } {
-    return (
-      typeof content === 'object' &&
-      content !== null &&
-      'role' in content &&
-      'parts' in content &&
-      Array.isArray((content as Record<string, unknown>)['parts'])
-    );
-  }
-}

packages/core/src/core/anthropicContentGenerator/index.ts

@@ -1,21 +0,0 @@
-/**
- * @license
- * Copyright 2025 Qwen
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import type {
-  ContentGenerator,
-  ContentGeneratorConfig,
-} from '../contentGenerator.js';
-import type { Config } from '../../config/config.js';
-import { AnthropicContentGenerator } from './anthropicContentGenerator.js';
-
-export { AnthropicContentGenerator } from './anthropicContentGenerator.js';
-
-export function createAnthropicContentGenerator(
-  contentGeneratorConfig: ContentGeneratorConfig,
-  cliConfig: Config,
-): ContentGenerator {
-  return new AnthropicContentGenerator(contentGeneratorConfig, cliConfig);
-}

packages/core/src/core/baseLlmClient.test.ts

@@ -146,11 +146,12 @@ describe('BaseLlmClient', () => {
       // Validate the parameters passed to the underlying generator
       expect(mockGenerateContent).toHaveBeenCalledTimes(1);
       expect(mockGenerateContent).toHaveBeenCalledWith(
-        expect.objectContaining({
+        {
           model: 'test-model',
           contents: defaultOptions.contents,
-          config: expect.objectContaining({
+          config: {
             abortSignal: defaultOptions.abortSignal,
+            topP: 0.8,
             tools: [
               {
                 functionDeclarations: [
@@ -162,8 +163,9 @@ describe('BaseLlmClient', () => {
                 ],
               },
             ],
-          }),
-        }),
+            // Crucial: systemInstruction should NOT be in the config object if not provided
+          },
+        },
         'test-prompt-id',
       );
     });
@@ -186,6 +188,7 @@ describe('BaseLlmClient', () => {
         expect.objectContaining({
           config: expect.objectContaining({
             temperature: 0.8,
+            topP: 0.8, // Default should remain if not overridden
             topK: 10,
             tools: expect.any(Array),
           }),

packages/core/src/core/baseLlmClient.ts

@@ -64,6 +64,11 @@ export interface GenerateJsonOptions {
  * A client dedicated to stateless, utility-focused LLM calls.
  */
 export class BaseLlmClient {
+  // Default configuration for utility tasks
+  private readonly defaultUtilityConfig: GenerateContentConfig = {
+    topP: 0.8,
+  };
+
   constructor(
     private readonly contentGenerator: ContentGenerator,
     private readonly config: Config,
@@ -84,6 +89,7 @@ export class BaseLlmClient {
 
     const requestConfig: GenerateContentConfig = {
       abortSignal,
+      ...this.defaultUtilityConfig,
       ...options.config,
       ...(systemInstruction && { systemInstruction }),
     };

packages/core/src/core/client.test.ts

@@ -15,7 +15,11 @@ import {
 } from 'vitest';
 
 import type { Content, GenerateContentResponse, Part } from '@google/genai';
-import { GeminiClient } from './client.js';
+import {
+  isThinkingDefault,
+  isThinkingSupported,
+  GeminiClient,
+} from './client.js';
 import { findCompressSplitPoint } from '../services/chatCompressionService.js';
 import {
   AuthType,
@@ -243,6 +247,40 @@ describe('findCompressSplitPoint', () => {
   });
 });
 
+describe('isThinkingSupported', () => {
+  it('should return true for gemini-2.5', () => {
+    expect(isThinkingSupported('gemini-2.5')).toBe(true);
+  });
+
+  it('should return true for gemini-2.5-pro', () => {
+    expect(isThinkingSupported('gemini-2.5-pro')).toBe(true);
+  });
+
+  it('should return false for other models', () => {
+    expect(isThinkingSupported('gemini-1.5-flash')).toBe(false);
+    expect(isThinkingSupported('some-other-model')).toBe(false);
+  });
+});
+
+describe('isThinkingDefault', () => {
+  it('should return false for gemini-2.5-flash-lite', () => {
+    expect(isThinkingDefault('gemini-2.5-flash-lite')).toBe(false);
+  });
+
+  it('should return true for gemini-2.5', () => {
+    expect(isThinkingDefault('gemini-2.5')).toBe(true);
+  });
+
+  it('should return true for gemini-2.5-pro', () => {
+    expect(isThinkingDefault('gemini-2.5-pro')).toBe(true);
+  });
+
+  it('should return false for other models', () => {
+    expect(isThinkingDefault('gemini-1.5-flash')).toBe(false);
+    expect(isThinkingDefault('some-other-model')).toBe(false);
+  });
+});
+
 describe('Gemini Client (client.ts)', () => {
   let mockContentGenerator: ContentGenerator;
   let mockConfig: Config;
@@ -2266,15 +2304,16 @@ ${JSON.stringify(
       );
 
       expect(mockContentGenerator.generateContent).toHaveBeenCalledWith(
-        expect.objectContaining({
+        {
           model: DEFAULT_GEMINI_FLASH_MODEL,
-          config: expect.objectContaining({
+          config: {
             abortSignal,
             systemInstruction: getCoreSystemPrompt(''),
             temperature: 0.5,
-          }),
+            topP: 0.8,
+          },
           contents,
-        }),
+        },
         'test-session-id',
       );
     });

packages/core/src/core/client.ts

@@ -15,7 +15,11 @@ import type {
 
 // Config
 import { ApprovalMode, type Config } from '../config/config.js';
-import { DEFAULT_GEMINI_FLASH_MODEL } from '../config/models.js';
+import {
+  DEFAULT_GEMINI_FLASH_MODEL,
+  DEFAULT_GEMINI_MODEL_AUTO,
+  DEFAULT_THINKING_MODE,
+} from '../config/models.js';
 
 // Core modules
 import type { ContentGenerator } from './contentGenerator.js';
@@ -74,10 +78,24 @@ import { type File, type IdeContext } from '../ide/types.js';
 // Fallback handling
 import { handleFallback } from '../fallback/handler.js';
 
+export function isThinkingSupported(model: string) {
+  return model.startsWith('gemini-2.5') || model === DEFAULT_GEMINI_MODEL_AUTO;
+}
+
+export function isThinkingDefault(model: string) {
+  if (model.startsWith('gemini-2.5-flash-lite')) {
+    return false;
+  }
+  return model.startsWith('gemini-2.5') || model === DEFAULT_GEMINI_MODEL_AUTO;
+}
+
 const MAX_TURNS = 100;
 
 export class GeminiClient {
   private chat?: GeminiChat;
+  private readonly generateContentConfig: GenerateContentConfig = {
+    topP: 0.8,
+  };
   private sessionTurnCount = 0;
 
   private readonly loopDetector: LoopDetectionService;
@@ -189,10 +207,20 @@ export class GeminiClient {
       const model = this.config.getModel();
       const systemInstruction = getCoreSystemPrompt(userMemory, model);
 
+      const config: GenerateContentConfig = { ...this.generateContentConfig };
+
+      if (isThinkingSupported(model)) {
+        config.thinkingConfig = {
+          includeThoughts: true,
+          thinkingBudget: DEFAULT_THINKING_MODE,
+        };
+      }
+
       return new GeminiChat(
         this.config,
         {
           systemInstruction,
+          ...config,
           tools,
         },
         history,
@@ -589,6 +617,11 @@ export class GeminiClient {
   ): Promise<GenerateContentResponse> {
     let currentAttemptModel: string = model;
 
+    const configToUse: GenerateContentConfig = {
+      ...this.generateContentConfig,
+      ...generationConfig,
+    };
+
     try {
       const userMemory = this.config.getUserMemory();
       const finalSystemInstruction = generationConfig.systemInstruction
@@ -597,7 +630,7 @@ export class GeminiClient {
 
       const requestConfig: GenerateContentConfig = {
         abortSignal,
-        ...generationConfig,
+        ...configToUse,
         systemInstruction: finalSystemInstruction,
       };
 
@@ -638,7 +671,7 @@ export class GeminiClient {
         `Error generating content via API with model ${currentAttemptModel}.`,
         {
           requestContents: contents,
-          requestConfig: generationConfig,
+          requestConfig: configToUse,
         },
         'generateContent-api',
       );

packages/core/src/core/contentGenerator.test.ts

@@ -5,19 +5,42 @@
  */
 
 import { describe, it, expect, vi } from 'vitest';
+import type { ContentGenerator } from './contentGenerator.js';
 import { createContentGenerator, AuthType } from './contentGenerator.js';
+import { createCodeAssistContentGenerator } from '../code_assist/codeAssist.js';
 import { GoogleGenAI } from '@google/genai';
 import type { Config } from '../config/config.js';
-import { LoggingContentGenerator } from './loggingContentGenerator/index.js';
+import { LoggingContentGenerator } from './loggingContentGenerator.js';
 
+vi.mock('../code_assist/codeAssist.js');
 vi.mock('@google/genai');
 
+const mockConfig = {
+  getCliVersion: vi.fn().mockReturnValue('1.0.0'),
+} as unknown as Config;
+
 describe('createContentGenerator', () => {
-  it('should create a Gemini content generator', async () => {
+  it('should create a CodeAssistContentGenerator', async () => {
+    const mockGenerator = {} as unknown as ContentGenerator;
+    vi.mocked(createCodeAssistContentGenerator).mockResolvedValue(
+      mockGenerator as never,
+    );
+    const generator = await createContentGenerator(
+      {
+        model: 'test-model',
+        authType: AuthType.LOGIN_WITH_GOOGLE,
+      },
+      mockConfig,
+    );
+    expect(createCodeAssistContentGenerator).toHaveBeenCalled();
+    expect(generator).toEqual(
+      new LoggingContentGenerator(mockGenerator, mockConfig),
+    );
+  });
+
+  it('should create a GoogleGenAI content generator', async () => {
     const mockConfig = {
       getUsageStatisticsEnabled: () => true,
-      getContentGeneratorConfig: () => ({}),
-      getCliVersion: () => '1.0.0',
     } as unknown as Config;
 
     const mockGenerator = {
@@ -42,17 +65,17 @@ describe('createContentGenerator', () => {
         },
       },
     });
-    // We expect it to be a LoggingContentGenerator wrapping a GeminiContentGenerator
-    expect(generator).toBeInstanceOf(LoggingContentGenerator);
-    const wrapped = (generator as LoggingContentGenerator).getWrapped();
-    expect(wrapped).toBeDefined();
+    expect(generator).toEqual(
+      new LoggingContentGenerator(
+        (mockGenerator as GoogleGenAI).models,
+        mockConfig,
+      ),
+    );
   });
 
-  it('should create a Gemini content generator with client install id logging disabled', async () => {
+  it('should create a GoogleGenAI content generator with client install id logging disabled', async () => {
     const mockConfig = {
       getUsageStatisticsEnabled: () => false,
-      getContentGeneratorConfig: () => ({}),
-      getCliVersion: () => '1.0.0',
     } as unknown as Config;
     const mockGenerator = {
       models: {},
@@ -75,6 +98,11 @@ describe('createContentGenerator', () => {
         },
       },
     });
-    expect(generator).toBeInstanceOf(LoggingContentGenerator);
+    expect(generator).toEqual(
+      new LoggingContentGenerator(
+        (mockGenerator as GoogleGenAI).models,
+        mockConfig,
+      ),
+    );
   });
 });

packages/core/src/core/contentGenerator.ts

@@ -12,9 +12,14 @@ import type {
   GenerateContentParameters,
   GenerateContentResponse,
 } from '@google/genai';
+import { GoogleGenAI } from '@google/genai';
+import { createCodeAssistContentGenerator } from '../code_assist/codeAssist.js';
 import { DEFAULT_QWEN_MODEL } from '../config/models.js';
 import type { Config } from '../config/config.js';
-import { LoggingContentGenerator } from './loggingContentGenerator/index.js';
+
+import type { UserTierId } from '../code_assist/types.js';
+import { InstallationManager } from '../utils/installationManager.js';
+import { LoggingContentGenerator } from './loggingContentGenerator.js';
 
 /**
  * Interface abstracting the core functionalities for generating content and counting tokens.
@@ -34,15 +39,16 @@ export interface ContentGenerator {
 
   embedContent(request: EmbedContentParameters): Promise<EmbedContentResponse>;
 
-  useSummarizedThinking(): boolean;
+  userTier?: UserTierId;
 }
 
 export enum AuthType {
+  LOGIN_WITH_GOOGLE = 'oauth-personal',
+  USE_GEMINI = 'gemini-api-key',
+  USE_VERTEX_AI = 'vertex-ai',
+  CLOUD_SHELL = 'cloud-shell',
   USE_OPENAI = 'openai',
   QWEN_OAUTH = 'qwen-oauth',
-  USE_GEMINI = 'gemini',
-  USE_VERTEX_AI = 'vertex-ai',
-  USE_ANTHROPIC = 'anthropic',
 }
 
 export type ContentGeneratorConfig = {
@@ -53,9 +59,12 @@ export type ContentGeneratorConfig = {
   authType?: AuthType | undefined;
   enableOpenAILogging?: boolean;
   openAILoggingDir?: string;
-  timeout?: number; // Timeout configuration in milliseconds
-  maxRetries?: number; // Maximum retries for failed requests
-  disableCacheControl?: boolean; // Disable cache control for DashScope providers
+  // Timeout configuration in milliseconds
+  timeout?: number;
+  // Maximum retries for failed requests
+  maxRetries?: number;
+  // Disable cache control for DashScope providers
+  disableCacheControl?: boolean;
   samplingParams?: {
     top_p?: number;
     top_k?: number;
@@ -65,12 +74,6 @@ export type ContentGeneratorConfig = {
     temperature?: number;
     max_tokens?: number;
   };
-  reasoning?:
-    | false
-    | {
-        effort?: 'low' | 'medium' | 'high';
-        budget_tokens?: number;
-      };
   proxy?: string | undefined;
   userAgent?: string;
   // Schema compliance mode for tool definitions
@@ -82,7 +85,7 @@ export function createContentGeneratorConfig(
   authType: AuthType | undefined,
   generationConfig?: Partial<ContentGeneratorConfig>,
 ): ContentGeneratorConfig {
-  let newContentGeneratorConfig: Partial<ContentGeneratorConfig> = {
+  const newContentGeneratorConfig: Partial<ContentGeneratorConfig> = {
     ...(generationConfig || {}),
     authType,
     proxy: config?.getProxy(),
@@ -99,16 +102,8 @@ export function createContentGeneratorConfig(
   }
 
   if (authType === AuthType.USE_OPENAI) {
-    newContentGeneratorConfig = {
-      ...newContentGeneratorConfig,
-      apiKey: newContentGeneratorConfig.apiKey || process.env['OPENAI_API_KEY'],
-      baseUrl:
-        newContentGeneratorConfig.baseUrl || process.env['OPENAI_BASE_URL'],
-      model: newContentGeneratorConfig.model || process.env['OPENAI_MODEL'],
-    };
-
     if (!newContentGeneratorConfig.apiKey) {
-      throw new Error('OPENAI_API_KEY environment variable not found.');
+      throw new Error('OpenAI API key is required');
     }
 
     return {
@@ -117,62 +112,10 @@ export function createContentGeneratorConfig(
     } as ContentGeneratorConfig;
   }
 
-  if (authType === AuthType.USE_ANTHROPIC) {
-    newContentGeneratorConfig = {
-      ...newContentGeneratorConfig,
-      apiKey:
-        newContentGeneratorConfig.apiKey || process.env['ANTHROPIC_API_KEY'],
-      baseUrl:
-        newContentGeneratorConfig.baseUrl || process.env['ANTHROPIC_BASE_URL'],
-      model: newContentGeneratorConfig.model || process.env['ANTHROPIC_MODEL'],
-    };
-
-    if (!newContentGeneratorConfig.apiKey) {
-      throw new Error('ANTHROPIC_API_KEY environment variable not found.');
-    }
-
-    if (!newContentGeneratorConfig.baseUrl) {
-      throw new Error('ANTHROPIC_BASE_URL environment variable not found.');
-    }
-
-    if (!newContentGeneratorConfig.model) {
-      throw new Error('ANTHROPIC_MODEL environment variable not found.');
-    }
-  }
-
-  if (authType === AuthType.USE_GEMINI) {
-    newContentGeneratorConfig = {
-      ...newContentGeneratorConfig,
-      apiKey: newContentGeneratorConfig.apiKey || process.env['GEMINI_API_KEY'],
-      model: newContentGeneratorConfig.model || process.env['GEMINI_MODEL'],
-    };
-
-    if (!newContentGeneratorConfig.apiKey) {
-      throw new Error('GEMINI_API_KEY environment variable not found.');
-    }
-
-    if (!newContentGeneratorConfig.model) {
-      throw new Error('GEMINI_MODEL environment variable not found.');
-    }
-  }
-
-  if (authType === AuthType.USE_VERTEX_AI) {
-    newContentGeneratorConfig = {
-      ...newContentGeneratorConfig,
-      apiKey: newContentGeneratorConfig.apiKey || process.env['GOOGLE_API_KEY'],
-      model: newContentGeneratorConfig.model || process.env['GOOGLE_MODEL'],
-    };
-
-    if (!newContentGeneratorConfig.apiKey) {
-      throw new Error('GOOGLE_API_KEY environment variable not found.');
-    }
-
-    if (!newContentGeneratorConfig.model) {
-      throw new Error('GOOGLE_MODEL environment variable not found.');
-    }
-  }
-
-  return newContentGeneratorConfig as ContentGeneratorConfig;
+  return {
+    ...newContentGeneratorConfig,
+    model: newContentGeneratorConfig?.model || DEFAULT_QWEN_MODEL,
+  } as ContentGeneratorConfig;
 }
 
 export async function createContentGenerator(
@@ -180,9 +123,53 @@ export async function createContentGenerator(
   gcConfig: Config,
   isInitialAuth?: boolean,
 ): Promise<ContentGenerator> {
+  const version = process.env['CLI_VERSION'] || process.version;
+  const userAgent = `QwenCode/${version} (${process.platform}; ${process.arch})`;
+  const baseHeaders: Record<string, string> = {
+    'User-Agent': userAgent,
+  };
+
+  if (
+    config.authType === AuthType.LOGIN_WITH_GOOGLE ||
+    config.authType === AuthType.CLOUD_SHELL
+  ) {
+    const httpOptions = { headers: baseHeaders };
+    return new LoggingContentGenerator(
+      await createCodeAssistContentGenerator(
+        httpOptions,
+        config.authType,
+        gcConfig,
+      ),
+      gcConfig,
+    );
+  }
+
+  if (
+    config.authType === AuthType.USE_GEMINI ||
+    config.authType === AuthType.USE_VERTEX_AI
+  ) {
+    let headers: Record<string, string> = { ...baseHeaders };
+    if (gcConfig?.getUsageStatisticsEnabled()) {
+      const installationManager = new InstallationManager();
+      const installationId = installationManager.getInstallationId();
+      headers = {
+        ...headers,
+        'x-gemini-api-privileged-user-id': `${installationId}`,
+      };
+    }
+    const httpOptions = { headers };
+
+    const googleGenAI = new GoogleGenAI({
+      apiKey: config.apiKey === '' ? undefined : config.apiKey,
+      vertexai: config.vertexai,
+      httpOptions,
+    });
+    return new LoggingContentGenerator(googleGenAI.models, gcConfig);
+  }
+
   if (config.authType === AuthType.USE_OPENAI) {
     if (!config.apiKey) {
-      throw new Error('OPENAI_API_KEY environment variable not found.');
+      throw new Error('OpenAI API key is required');
     }
 
     // Import OpenAIContentGenerator dynamically to avoid circular dependencies
@@ -191,8 +178,7 @@ export async function createContentGenerator(
     );
 
     // Always use OpenAIContentGenerator, logging is controlled by enableOpenAILogging flag
-    const generator = createOpenAIContentGenerator(config, gcConfig);
-    return new LoggingContentGenerator(generator, gcConfig);
+    return createOpenAIContentGenerator(config, gcConfig);
   }
 
   if (config.authType === AuthType.QWEN_OAUTH) {
@@ -213,8 +199,7 @@ export async function createContentGenerator(
       );
 
       // Create the content generator with dynamic token management
-      const generator = new QwenContentGenerator(qwenClient, config, gcConfig);
-      return new LoggingContentGenerator(generator, gcConfig);
+      return new QwenContentGenerator(qwenClient, config, gcConfig);
     } catch (error) {
       throw new Error(
         `${error instanceof Error ? error.message : String(error)}`,
@@ -222,30 +207,6 @@ export async function createContentGenerator(
     }
   }
 
-  if (config.authType === AuthType.USE_ANTHROPIC) {
-    if (!config.apiKey) {
-      throw new Error('ANTHROPIC_API_KEY environment variable not found.');
-    }
-
-    const { createAnthropicContentGenerator } = await import(
-      './anthropicContentGenerator/index.js'
-    );
-
-    const generator = createAnthropicContentGenerator(config, gcConfig);
-    return new LoggingContentGenerator(generator, gcConfig);
-  }
-
-  if (
-    config.authType === AuthType.USE_GEMINI ||
-    config.authType === AuthType.USE_VERTEX_AI
-  ) {
-    const { createGeminiContentGenerator } = await import(
-      './geminiContentGenerator/index.js'
-    );
-    const generator = createGeminiContentGenerator(config, gcConfig);
-    return new LoggingContentGenerator(generator, gcConfig);
-  }
-
   throw new Error(
     `Error creating contentGenerator: Unsupported authType: ${config.authType}`,
   );

packages/core/src/core/coreToolScheduler.test.ts

@@ -240,7 +240,7 @@ describe('CoreToolScheduler', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -318,7 +318,7 @@ describe('CoreToolScheduler', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -497,7 +497,7 @@ describe('CoreToolScheduler', () => {
         getExcludeTools: () => ['write_file', 'edit', 'run_shell_command'],
         getContentGeneratorConfig: () => ({
           model: 'test-model',
-          authType: 'gemini-api-key',
+          authType: 'oauth-personal',
         }),
         getShellExecutionConfig: () => ({
           terminalWidth: 90,
@@ -584,7 +584,7 @@ describe('CoreToolScheduler', () => {
         getExcludeTools: () => ['write_file', 'edit'], // Different excluded tools
         getContentGeneratorConfig: () => ({
           model: 'test-model',
-          authType: 'gemini-api-key',
+          authType: 'oauth-personal',
         }),
         getShellExecutionConfig: () => ({
           terminalWidth: 90,
@@ -674,7 +674,7 @@ describe('CoreToolScheduler with payload', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -1001,7 +1001,7 @@ describe('CoreToolScheduler edit cancellation', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -1108,7 +1108,7 @@ describe('CoreToolScheduler YOLO mode', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -1258,7 +1258,7 @@ describe('CoreToolScheduler cancellation during executing with live output', ()
       getApprovalMode: () => ApprovalMode.DEFAULT,
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getToolRegistry: () => mockToolRegistry,
       getShellExecutionConfig: () => ({
@@ -1350,7 +1350,7 @@ describe('CoreToolScheduler request queueing', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -1482,7 +1482,7 @@ describe('CoreToolScheduler request queueing', () => {
       getToolRegistry: () => toolRegistry,
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 80,
@@ -1586,7 +1586,7 @@ describe('CoreToolScheduler request queueing', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -1854,7 +1854,7 @@ describe('CoreToolScheduler Sequential Execution', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,
@@ -1975,7 +1975,7 @@ describe('CoreToolScheduler Sequential Execution', () => {
       getAllowedTools: () => [],
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,

packages/core/src/core/geminiChat.test.ts

@@ -100,7 +100,6 @@ describe('GeminiChat', () => {
       countTokens: vi.fn(),
       embedContent: vi.fn(),
       batchEmbedContents: vi.fn(),
-      useSummarizedThinking: vi.fn().mockReturnValue(false),
     } as unknown as ContentGenerator;
 
     mockHandleFallback.mockClear();
@@ -112,7 +111,7 @@ describe('GeminiChat', () => {
       getUsageStatisticsEnabled: () => true,
       getDebugMode: () => false,
       getContentGeneratorConfig: vi.fn().mockReturnValue({
-        authType: 'gemini-api-key', // Ensure this is set for fallback tests
+        authType: 'oauth-personal', // Ensure this is set for fallback tests
         model: 'test-model',
       }),
       getModel: vi.fn().mockReturnValue('gemini-pro'),
@@ -719,39 +718,6 @@ describe('GeminiChat', () => {
         1,
       );
     });
-
-    it('should keep parts with thoughtSignature when consolidating history', async () => {
-      const stream = (async function* () {
-        yield {
-          candidates: [
-            {
-              content: {
-                role: 'model',
-                parts: [
-                  {
-                    text: 'p1',
-                    thoughtSignature: 's1',
-                  } as unknown as { text: string; thoughtSignature: string },
-                ],
-              },
-              finishReason: 'STOP',
-            },
-          ],
-        } as unknown as GenerateContentResponse;
-      })();
-      vi.mocked(mockContentGenerator.generateContentStream).mockResolvedValue(
-        stream,
-      );
-
-      const res = await chat.sendMessageStream('m1', { message: 'h1' }, 'p1');
-      for await (const _ of res);
-
-      const history = chat.getHistory();
-      expect(history[1].parts![0]).toEqual({
-        text: 'p1',
-        thoughtSignature: 's1',
-      });
-    });
   });
 
   describe('addHistory', () => {
@@ -1416,7 +1382,7 @@ describe('GeminiChat', () => {
     });
 
     it('should call handleFallback with the specific failed model and retry if handler returns true', async () => {
-      const authType = AuthType.USE_GEMINI;
+      const authType = AuthType.LOGIN_WITH_GOOGLE;
       vi.mocked(mockConfig.getContentGeneratorConfig).mockReturnValue({
         model: 'test-model',
         authType,
@@ -1566,7 +1532,7 @@ describe('GeminiChat', () => {
   });
 
   describe('stripThoughtsFromHistory', () => {
-    it('should strip thoughts and thought signatures, and remove empty content objects', () => {
+    it('should strip thought signatures', () => {
       chat.setHistory([
         {
           role: 'user',
@@ -1578,15 +1544,10 @@ describe('GeminiChat', () => {
             { text: 'thinking...', thought: true },
             { text: 'hi' },
             {
-              text: 'hidden metadata',
-              thoughtSignature: 'abc',
-            } as unknown as { text: string; thoughtSignature: string },
+              functionCall: { name: 'test', args: {} },
+            },
           ],
         },
-        {
-          role: 'model',
-          parts: [{ text: 'only thinking', thought: true }],
-        },
       ]);
 
       chat.stripThoughtsFromHistory();
@@ -1598,7 +1559,7 @@ describe('GeminiChat', () => {
         },
         {
           role: 'model',
-          parts: [{ text: 'hi' }, { text: 'hidden metadata' }],
+          parts: [{ text: 'hi' }, { functionCall: { name: 'test', args: {} } }],
         },
       ]);
     });

packages/core/src/core/geminiChat.ts

@@ -92,7 +92,6 @@ export function isValidNonThoughtTextPart(part: Part): boolean {
   return (
     typeof part.text === 'string' &&
     !part.thought &&
-    !part.thoughtSignature &&
     // Technically, the model should never generate parts that have text and
     //  any of these but we don't trust them so check anyways.
     !part.functionCall &&
@@ -110,24 +109,18 @@ function isValidContent(content: Content): boolean {
     if (part === undefined || Object.keys(part).length === 0) {
       return false;
     }
-    if (!isValidContentPart(part)) {
+    if (
+      !part.thought &&
+      part.text !== undefined &&
+      part.text === '' &&
+      part.functionCall === undefined
+    ) {
       return false;
     }
   }
   return true;
 }
 
-function isValidContentPart(part: Part): boolean {
-  const isInvalid =
-    !part.thought &&
-    !part.thoughtSignature &&
-    part.text !== undefined &&
-    part.text === '' &&
-    part.functionCall === undefined;
-
-  return !isInvalid;
-}
-
 /**
  * Validates the history contains the correct roles.
  *
@@ -455,29 +448,15 @@ export class GeminiChat {
         if (!content.parts) return content;
 
         // Filter out thought parts entirely
-        const filteredParts = content.parts
-          .filter(
-            (part) =>
-              !(
-                part &&
-                typeof part === 'object' &&
-                'thought' in part &&
-                part.thought
-              ),
-          )
-          .map((part) => {
-            if (
+        const filteredParts = content.parts.filter(
+          (part) =>
+            !(
               part &&
               typeof part === 'object' &&
-              'thoughtSignature' in part
-            ) {
-              const newPart = { ...part };
-              delete (newPart as { thoughtSignature?: string })
-                .thoughtSignature;
-              return newPart;
-            }
-            return part;
-          });
+              'thought' in part &&
+              part.thought
+            ),
+        );
 
         return {
           ...content,
@@ -559,27 +538,12 @@ export class GeminiChat {
       yield chunk; // Yield every chunk to the UI immediately.
     }
 
-    let thoughtContentPart: Part | undefined;
-    const thoughtText = allModelParts
-      .filter((part) => part.thought)
+    const thoughtParts = allModelParts.filter((part) => part.thought);
+    const thoughtText = thoughtParts
       .map((part) => part.text)
       .join('')
       .trim();
 
-    if (thoughtText !== '') {
-      thoughtContentPart = {
-        text: thoughtText,
-        thought: true,
-      };
-
-      const thoughtSignature = allModelParts.filter(
-        (part) => part.thoughtSignature && part.thought,
-      )?.[0]?.thoughtSignature;
-      if (thoughtContentPart && thoughtSignature) {
-        thoughtContentPart.thoughtSignature = thoughtSignature;
-      }
-    }
-
     const contentParts = allModelParts.filter((part) => !part.thought);
     const consolidatedHistoryParts: Part[] = [];
     for (const part of contentParts) {
@@ -591,7 +555,7 @@ export class GeminiChat {
         isValidNonThoughtTextPart(part)
       ) {
         lastPart.text += part.text;
-      } else if (isValidContentPart(part)) {
+      } else {
         consolidatedHistoryParts.push(part);
       }
     }
@@ -603,11 +567,11 @@ export class GeminiChat {
       .trim();
 
     // Record assistant turn with raw Content and metadata
-    if (thoughtContentPart || contentText || hasToolCall || usageMetadata) {
+    if (thoughtText || contentText || hasToolCall || usageMetadata) {
       this.chatRecordingService?.recordAssistantTurn({
         model,
         message: [
-          ...(thoughtContentPart ? [thoughtContentPart] : []),
+          ...(thoughtText ? [{ text: thoughtText, thought: true }] : []),
           ...(contentText ? [{ text: contentText }] : []),
           ...(hasToolCall
             ? contentParts
@@ -643,7 +607,7 @@ export class GeminiChat {
     this.history.push({
       role: 'model',
       parts: [
-        ...(thoughtContentPart ? [thoughtContentPart] : []),
+        ...(thoughtText ? [{ text: thoughtText, thought: true }] : []),
         ...consolidatedHistoryParts,
       ],
     });

packages/core/src/core/geminiContentGenerator/geminiContentGenerator.test.ts

@@ -1,173 +0,0 @@
-/**
- * @license
- * Copyright 2025 Google LLC
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import { describe, it, expect, vi, beforeEach } from 'vitest';
-import { GeminiContentGenerator } from './geminiContentGenerator.js';
-import { GoogleGenAI } from '@google/genai';
-
-vi.mock('@google/genai', () => {
-  const mockGenerateContent = vi.fn();
-  const mockGenerateContentStream = vi.fn();
-  const mockCountTokens = vi.fn();
-  const mockEmbedContent = vi.fn();
-
-  return {
-    GoogleGenAI: vi.fn().mockImplementation(() => ({
-      models: {
-        generateContent: mockGenerateContent,
-        generateContentStream: mockGenerateContentStream,
-        countTokens: mockCountTokens,
-        embedContent: mockEmbedContent,
-      },
-    })),
-  };
-});
-
-describe('GeminiContentGenerator', () => {
-  let generator: GeminiContentGenerator;
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  let mockGoogleGenAI: any;
-
-  beforeEach(() => {
-    vi.clearAllMocks();
-    generator = new GeminiContentGenerator({
-      apiKey: 'test-api-key',
-    });
-    mockGoogleGenAI = vi.mocked(GoogleGenAI).mock.results[0].value;
-  });
-
-  it('should call generateContent on the underlying model', async () => {
-    const request = { model: 'gemini-1.5-flash', contents: [] };
-    const expectedResponse = { responseId: 'test-id' };
-    mockGoogleGenAI.models.generateContent.mockResolvedValue(expectedResponse);
-
-    const response = await generator.generateContent(request, 'prompt-id');
-
-    expect(mockGoogleGenAI.models.generateContent).toHaveBeenCalledWith(
-      expect.objectContaining({
-        ...request,
-        config: expect.objectContaining({
-          temperature: 1,
-          topP: 0.95,
-          thinkingConfig: {
-            includeThoughts: true,
-            thinkingLevel: 'THINKING_LEVEL_UNSPECIFIED',
-          },
-        }),
-      }),
-    );
-    expect(response).toBe(expectedResponse);
-  });
-
-  it('should call generateContentStream on the underlying model', async () => {
-    const request = { model: 'gemini-1.5-flash', contents: [] };
-    const mockStream = (async function* () {
-      yield { responseId: '1' };
-    })();
-    mockGoogleGenAI.models.generateContentStream.mockResolvedValue(mockStream);
-
-    const stream = await generator.generateContentStream(request, 'prompt-id');
-
-    expect(mockGoogleGenAI.models.generateContentStream).toHaveBeenCalledWith(
-      expect.objectContaining({
-        ...request,
-        config: expect.objectContaining({
-          temperature: 1,
-          topP: 0.95,
-          thinkingConfig: {
-            includeThoughts: true,
-            thinkingLevel: 'THINKING_LEVEL_UNSPECIFIED',
-          },
-        }),
-      }),
-    );
-    expect(stream).toBe(mockStream);
-  });
-
-  it('should call countTokens on the underlying model', async () => {
-    const request = { model: 'gemini-1.5-flash', contents: [] };
-    const expectedResponse = { totalTokens: 10 };
-    mockGoogleGenAI.models.countTokens.mockResolvedValue(expectedResponse);
-
-    const response = await generator.countTokens(request);
-
-    expect(mockGoogleGenAI.models.countTokens).toHaveBeenCalledWith(request);
-    expect(response).toBe(expectedResponse);
-  });
-
-  it('should call embedContent on the underlying model', async () => {
-    const request = { model: 'embedding-model', contents: [] };
-    const expectedResponse = { embeddings: [] };
-    mockGoogleGenAI.models.embedContent.mockResolvedValue(expectedResponse);
-
-    const response = await generator.embedContent(request);
-
-    expect(mockGoogleGenAI.models.embedContent).toHaveBeenCalledWith(request);
-    expect(response).toBe(expectedResponse);
-  });
-
-  it('should prioritize contentGeneratorConfig samplingParams over request config', async () => {
-    const generatorWithParams = new GeminiContentGenerator({ apiKey: 'test' }, {
-      model: 'gemini-1.5-flash',
-      samplingParams: {
-        temperature: 0.1,
-        top_p: 0.2,
-      },
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    } as any);
-
-    const request = {
-      model: 'gemini-1.5-flash',
-      contents: [],
-      config: {
-        temperature: 0.9,
-        topP: 0.9,
-      },
-    };
-
-    await generatorWithParams.generateContent(request, 'prompt-id');
-
-    expect(mockGoogleGenAI.models.generateContent).toHaveBeenCalledWith(
-      expect.objectContaining({
-        config: expect.objectContaining({
-          temperature: 0.1,
-          topP: 0.2,
-        }),
-      }),
-    );
-  });
-
-  it('should map reasoning effort to thinkingConfig', async () => {
-    const generatorWithReasoning = new GeminiContentGenerator(
-      { apiKey: 'test' },
-      {
-        model: 'gemini-2.5-pro',
-        reasoning: {
-          effort: 'high',
-        },
-        // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      } as any,
-    );
-
-    const request = {
-      model: 'gemini-2.5-pro',
-      contents: [],
-    };
-
-    await generatorWithReasoning.generateContent(request, 'prompt-id');
-
-    expect(mockGoogleGenAI.models.generateContent).toHaveBeenCalledWith(
-      expect.objectContaining({
-        config: expect.objectContaining({
-          thinkingConfig: {
-            includeThoughts: true,
-            thinkingLevel: 'HIGH',
-          },
-        }),
-      }),
-    );
-  });
-});

packages/core/src/core/geminiContentGenerator/geminiContentGenerator.ts

@@ -1,161 +0,0 @@
-/**
- * @license
- * Copyright 2025 Google LLC
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import type {
-  CountTokensParameters,
-  CountTokensResponse,
-  EmbedContentParameters,
-  EmbedContentResponse,
-  GenerateContentParameters,
-  GenerateContentResponse,
-  GenerateContentConfig,
-  ThinkingLevel,
-} from '@google/genai';
-import { GoogleGenAI } from '@google/genai';
-import type {
-  ContentGenerator,
-  ContentGeneratorConfig,
-} from '../contentGenerator.js';
-
-/**
- * A wrapper for GoogleGenAI that implements the ContentGenerator interface.
- */
-export class GeminiContentGenerator implements ContentGenerator {
-  private readonly googleGenAI: GoogleGenAI;
-  private readonly contentGeneratorConfig?: ContentGeneratorConfig;
-
-  constructor(
-    options: {
-      apiKey?: string;
-      vertexai?: boolean;
-      httpOptions?: { headers: Record<string, string> };
-    },
-    contentGeneratorConfig?: ContentGeneratorConfig,
-  ) {
-    this.googleGenAI = new GoogleGenAI(options);
-    this.contentGeneratorConfig = contentGeneratorConfig;
-  }
-
-  private buildGenerateContentConfig(
-    request: GenerateContentParameters,
-  ): GenerateContentConfig {
-    const configSamplingParams = this.contentGeneratorConfig?.samplingParams;
-    const requestConfig = request.config || {};
-
-    // Helper function to get parameter value with priority: config > request > default
-    const getParameterValue = <T>(
-      configValue: T | undefined,
-      requestKey: keyof GenerateContentConfig,
-      defaultValue?: T,
-    ): T | undefined => {
-      const requestValue = requestConfig[requestKey] as T | undefined;
-
-      if (configValue !== undefined) return configValue;
-      if (requestValue !== undefined) return requestValue;
-      return defaultValue;
-    };
-
-    return {
-      ...requestConfig,
-      temperature: getParameterValue<number>(
-        configSamplingParams?.temperature,
-        'temperature',
-        1,
-      ),
-      topP: getParameterValue<number>(
-        configSamplingParams?.top_p,
-        'topP',
-        0.95,
-      ),
-      topK: getParameterValue<number>(configSamplingParams?.top_k, 'topK', 64),
-      maxOutputTokens: getParameterValue<number>(
-        configSamplingParams?.max_tokens,
-        'maxOutputTokens',
-      ),
-      presencePenalty: getParameterValue<number>(
-        configSamplingParams?.presence_penalty,
-        'presencePenalty',
-      ),
-      frequencyPenalty: getParameterValue<number>(
-        configSamplingParams?.frequency_penalty,
-        'frequencyPenalty',
-      ),
-      thinkingConfig: getParameterValue(
-        this.buildThinkingConfig(),
-        'thinkingConfig',
-        {
-          includeThoughts: true,
-          thinkingLevel: 'THINKING_LEVEL_UNSPECIFIED' as ThinkingLevel,
-        },
-      ),
-    };
-  }
-
-  private buildThinkingConfig():
-    | { includeThoughts: boolean; thinkingLevel?: ThinkingLevel }
-    | undefined {
-    const reasoning = this.contentGeneratorConfig?.reasoning;
-
-    if (reasoning === false) {
-      return { includeThoughts: false };
-    }
-
-    if (reasoning) {
-      const thinkingLevel = (
-        reasoning.effort === 'low'
-          ? 'LOW'
-          : reasoning.effort === 'high'
-            ? 'HIGH'
-            : 'THINKING_LEVEL_UNSPECIFIED'
-      ) as ThinkingLevel;
-
-      return {
-        includeThoughts: true,
-        thinkingLevel,
-      };
-    }
-
-    return undefined;
-  }
-
-  async generateContent(
-    request: GenerateContentParameters,
-    _userPromptId: string,
-  ): Promise<GenerateContentResponse> {
-    const finalRequest = {
-      ...request,
-      config: this.buildGenerateContentConfig(request),
-    };
-    return this.googleGenAI.models.generateContent(finalRequest);
-  }
-
-  async generateContentStream(
-    request: GenerateContentParameters,
-    _userPromptId: string,
-  ): Promise<AsyncGenerator<GenerateContentResponse>> {
-    const finalRequest = {
-      ...request,
-      config: this.buildGenerateContentConfig(request),
-    };
-    return this.googleGenAI.models.generateContentStream(finalRequest);
-  }
-
-  async countTokens(
-    request: CountTokensParameters,
-  ): Promise<CountTokensResponse> {
-    return this.googleGenAI.models.countTokens(request);
-  }
-
-  async embedContent(
-    request: EmbedContentParameters,
-  ): Promise<EmbedContentResponse> {
-    return this.googleGenAI.models.embedContent(request);
-  }
-
-  useSummarizedThinking(): boolean {
-    return true;
-  }
-}

packages/core/src/core/geminiContentGenerator/index.test.ts

@@ -1,41 +0,0 @@
-/**
- * @license
- * Copyright 2025 Google LLC
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import { describe, it, expect, vi, beforeEach } from 'vitest';
-import { createGeminiContentGenerator } from './index.js';
-import { GeminiContentGenerator } from './geminiContentGenerator.js';
-import type { Config } from '../../config/config.js';
-import { AuthType } from '../contentGenerator.js';
-
-vi.mock('./geminiContentGenerator.js', () => ({
-  GeminiContentGenerator: vi.fn().mockImplementation(() => ({})),
-}));
-
-describe('createGeminiContentGenerator', () => {
-  let mockConfig: Config;
-
-  beforeEach(() => {
-    vi.clearAllMocks();
-    mockConfig = {
-      getUsageStatisticsEnabled: vi.fn().mockReturnValue(false),
-      getContentGeneratorConfig: vi.fn().mockReturnValue({}),
-      getCliVersion: vi.fn().mockReturnValue('1.0.0'),
-    } as unknown as Config;
-  });
-
-  it('should create a GeminiContentGenerator', () => {
-    const config = {
-      model: 'gemini-1.5-flash',
-      apiKey: 'test-key',
-      authType: AuthType.USE_GEMINI,
-    };
-
-    const generator = createGeminiContentGenerator(config, mockConfig);
-
-    expect(GeminiContentGenerator).toHaveBeenCalled();
-    expect(generator).toBeDefined();
-  });
-});

packages/core/src/core/geminiContentGenerator/index.ts

@@ -1,53 +0,0 @@
-/**
- * @license
- * Copyright 2025 Google LLC
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import { GeminiContentGenerator } from './geminiContentGenerator.js';
-import type {
-  ContentGenerator,
-  ContentGeneratorConfig,
-} from '../contentGenerator.js';
-import type { Config } from '../../config/config.js';
-import { InstallationManager } from '../../utils/installationManager.js';
-
-export { GeminiContentGenerator } from './geminiContentGenerator.js';
-
-/**
- * Create a Gemini content generator.
- */
-export function createGeminiContentGenerator(
-  config: ContentGeneratorConfig,
-  gcConfig: Config,
-): ContentGenerator {
-  const version = process.env['CLI_VERSION'] || process.version;
-  const userAgent =
-    config.userAgent ||
-    `QwenCode/${version} (${process.platform}; ${process.arch})`;
-  const baseHeaders: Record<string, string> = {
-    'User-Agent': userAgent,
-  };
-
-  let headers: Record<string, string> = { ...baseHeaders };
-  if (gcConfig?.getUsageStatisticsEnabled()) {
-    const installationManager = new InstallationManager();
-    const installationId = installationManager.getInstallationId();
-    headers = {
-      ...headers,
-      'x-gemini-api-privileged-user-id': `${installationId}`,
-    };
-  }
-  const httpOptions = { headers };
-
-  const geminiContentGenerator = new GeminiContentGenerator(
-    {
-      apiKey: config.apiKey === '' ? undefined : config.apiKey,
-      vertexai: config.vertexai,
-      httpOptions,
-    },
-    config,
-  );
-
-  return geminiContentGenerator;
-}

packages/core/src/core/loggingContentGenerator.ts

@@ -0,0 +1,208 @@
+/**
+ * @license
+ * Copyright 2025 Google LLC
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type {
+  Content,
+  CountTokensParameters,
+  CountTokensResponse,
+  EmbedContentParameters,
+  EmbedContentResponse,
+  GenerateContentParameters,
+  GenerateContentResponseUsageMetadata,
+  GenerateContentResponse,
+} from '@google/genai';
+import {
+  ApiRequestEvent,
+  ApiResponseEvent,
+  ApiErrorEvent,
+} from '../telemetry/types.js';
+import type { Config } from '../config/config.js';
+import {
+  logApiError,
+  logApiRequest,
+  logApiResponse,
+} from '../telemetry/loggers.js';
+import type { ContentGenerator } from './contentGenerator.js';
+import { toContents } from '../code_assist/converter.js';
+import { isStructuredError } from '../utils/quotaErrorDetection.js';
+
+interface StructuredError {
+  status: number;
+}
+
+/**
+ * A decorator that wraps a ContentGenerator to add logging to API calls.
+ */
+export class LoggingContentGenerator implements ContentGenerator {
+  constructor(
+    private readonly wrapped: ContentGenerator,
+    private readonly config: Config,
+  ) {}
+
+  getWrapped(): ContentGenerator {
+    return this.wrapped;
+  }
+
+  private logApiRequest(
+    contents: Content[],
+    model: string,
+    promptId: string,
+  ): void {
+    const requestText = JSON.stringify(contents);
+    logApiRequest(
+      this.config,
+      new ApiRequestEvent(model, promptId, requestText),
+    );
+  }
+
+  private _logApiResponse(
+    responseId: string,
+    durationMs: number,
+    model: string,
+    prompt_id: string,
+    usageMetadata?: GenerateContentResponseUsageMetadata,
+    responseText?: string,
+  ): void {
+    logApiResponse(
+      this.config,
+      new ApiResponseEvent(
+        responseId,
+        model,
+        durationMs,
+        prompt_id,
+        this.config.getContentGeneratorConfig()?.authType,
+        usageMetadata,
+        responseText,
+      ),
+    );
+  }
+
+  private _logApiError(
+    responseId: string | undefined,
+    durationMs: number,
+    error: unknown,
+    model: string,
+    prompt_id: string,
+  ): void {
+    const errorMessage = error instanceof Error ? error.message : String(error);
+    const errorType = error instanceof Error ? error.name : 'unknown';
+
+    logApiError(
+      this.config,
+      new ApiErrorEvent(
+        responseId,
+        model,
+        errorMessage,
+        durationMs,
+        prompt_id,
+        this.config.getContentGeneratorConfig()?.authType,
+        errorType,
+        isStructuredError(error)
+          ? (error as StructuredError).status
+          : undefined,
+      ),
+    );
+  }
+
+  async generateContent(
+    req: GenerateContentParameters,
+    userPromptId: string,
+  ): Promise<GenerateContentResponse> {
+    const startTime = Date.now();
+    this.logApiRequest(toContents(req.contents), req.model, userPromptId);
+    try {
+      const response = await this.wrapped.generateContent(req, userPromptId);
+      const durationMs = Date.now() - startTime;
+      this._logApiResponse(
+        response.responseId ?? '',
+        durationMs,
+        response.modelVersion || req.model,
+        userPromptId,
+        response.usageMetadata,
+        JSON.stringify(response),
+      );
+      return response;
+    } catch (error) {
+      const durationMs = Date.now() - startTime;
+      this._logApiError(undefined, durationMs, error, req.model, userPromptId);
+      throw error;
+    }
+  }
+
+  async generateContentStream(
+    req: GenerateContentParameters,
+    userPromptId: string,
+  ): Promise<AsyncGenerator<GenerateContentResponse>> {
+    const startTime = Date.now();
+    this.logApiRequest(toContents(req.contents), req.model, userPromptId);
+
+    let stream: AsyncGenerator<GenerateContentResponse>;
+    try {
+      stream = await this.wrapped.generateContentStream(req, userPromptId);
+    } catch (error) {
+      const durationMs = Date.now() - startTime;
+      this._logApiError(undefined, durationMs, error, req.model, userPromptId);
+      throw error;
+    }
+
+    return this.loggingStreamWrapper(
+      stream,
+      startTime,
+      userPromptId,
+      req.model,
+    );
+  }
+
+  private async *loggingStreamWrapper(
+    stream: AsyncGenerator<GenerateContentResponse>,
+    startTime: number,
+    userPromptId: string,
+    model: string,
+  ): AsyncGenerator<GenerateContentResponse> {
+    const responses: GenerateContentResponse[] = [];
+
+    let lastUsageMetadata: GenerateContentResponseUsageMetadata | undefined;
+    try {
+      for await (const response of stream) {
+        responses.push(response);
+        if (response.usageMetadata) {
+          lastUsageMetadata = response.usageMetadata;
+        }
+        yield response;
+      }
+      // Only log successful API response if no error occurred
+      const durationMs = Date.now() - startTime;
+      this._logApiResponse(
+        responses[0]?.responseId ?? '',
+        durationMs,
+        responses[0]?.modelVersion || model,
+        userPromptId,
+        lastUsageMetadata,
+        JSON.stringify(responses),
+      );
+    } catch (error) {
+      const durationMs = Date.now() - startTime;
+      this._logApiError(
+        undefined,
+        durationMs,
+        error,
+        responses[0]?.modelVersion || model,
+        userPromptId,
+      );
+      throw error;
+    }
+  }
+
+  async countTokens(req: CountTokensParameters): Promise<CountTokensResponse> {
+    return this.wrapped.countTokens(req);
+  }
+
+  async embedContent(
+    req: EmbedContentParameters,
+  ): Promise<EmbedContentResponse> {
+    return this.wrapped.embedContent(req);
+  }
+}

packages/core/src/core/loggingContentGenerator/index.ts

@@ -1,7 +0,0 @@
-/**
- * @license
- * Copyright 2025 Qwen
- * SPDX-License-Identifier: Apache-2.0
- */
-
-export { LoggingContentGenerator } from './loggingContentGenerator.js';

packages/core/src/core/loggingContentGenerator/loggingContentGenerator.test.ts

@@ -1,371 +0,0 @@
-/**
- * @license
- * Copyright 2025 Qwen
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
-import type {
-  GenerateContentParameters,
-  GenerateContentResponseUsageMetadata,
-} from '@google/genai';
-import { GenerateContentResponse } from '@google/genai';
-import type { Config } from '../../config/config.js';
-import type { ContentGenerator } from '../contentGenerator.js';
-import { LoggingContentGenerator } from './index.js';
-import { OpenAIContentConverter } from '../openaiContentGenerator/converter.js';
-import {
-  logApiRequest,
-  logApiResponse,
-  logApiError,
-} from '../../telemetry/loggers.js';
-import { OpenAILogger } from '../../utils/openaiLogger.js';
-import type OpenAI from 'openai';
-
-vi.mock('../../telemetry/loggers.js', () => ({
-  logApiRequest: vi.fn(),
-  logApiResponse: vi.fn(),
-  logApiError: vi.fn(),
-}));
-
-vi.mock('../../utils/openaiLogger.js', () => ({
-  OpenAILogger: vi.fn().mockImplementation(() => ({
-    logInteraction: vi.fn().mockResolvedValue(undefined),
-  })),
-}));
-
-const convertGeminiRequestToOpenAISpy = vi
-  .spyOn(OpenAIContentConverter.prototype, 'convertGeminiRequestToOpenAI')
-  .mockReturnValue([{ role: 'user', content: 'converted' }]);
-const convertGeminiToolsToOpenAISpy = vi
-  .spyOn(OpenAIContentConverter.prototype, 'convertGeminiToolsToOpenAI')
-  .mockResolvedValue([{ type: 'function', function: { name: 'tool' } }]);
-const convertGeminiResponseToOpenAISpy = vi
-  .spyOn(OpenAIContentConverter.prototype, 'convertGeminiResponseToOpenAI')
-  .mockReturnValue({
-    id: 'openai-response',
-    object: 'chat.completion',
-    created: 123456789,
-    model: 'test-model',
-    choices: [],
-  } as OpenAI.Chat.ChatCompletion);
-
-const createConfig = (overrides: Record<string, unknown> = {}): Config =>
-  ({
-    getContentGeneratorConfig: () => ({
-      authType: 'openai',
-      enableOpenAILogging: false,
-      ...overrides,
-    }),
-  }) as Config;
-
-const createWrappedGenerator = (
-  generateContent: ContentGenerator['generateContent'],
-  generateContentStream: ContentGenerator['generateContentStream'],
-): ContentGenerator =>
-  ({
-    generateContent,
-    generateContentStream,
-    countTokens: vi.fn(),
-    embedContent: vi.fn(),
-    useSummarizedThinking: vi.fn().mockReturnValue(false),
-  }) as ContentGenerator;
-
-const createResponse = (
-  responseId: string,
-  modelVersion: string,
-  parts: Array<Record<string, unknown>>,
-  usageMetadata?: GenerateContentResponseUsageMetadata,
-  finishReason?: string,
-): GenerateContentResponse => {
-  const response = new GenerateContentResponse();
-  response.responseId = responseId;
-  response.modelVersion = modelVersion;
-  response.usageMetadata = usageMetadata;
-  response.candidates = [
-    {
-      content: {
-        role: 'model',
-        parts: parts as never[],
-      },
-      finishReason: finishReason as never,
-      index: 0,
-      safetyRatings: [],
-    },
-  ];
-  return response;
-};
-
-describe('LoggingContentGenerator', () => {
-  beforeEach(() => {
-    vi.clearAllMocks();
-  });
-
-  afterEach(() => {
-    convertGeminiRequestToOpenAISpy.mockClear();
-    convertGeminiToolsToOpenAISpy.mockClear();
-    convertGeminiResponseToOpenAISpy.mockClear();
-  });
-
-  it('logs request/response, normalizes thought parts, and logs OpenAI interaction', async () => {
-    const wrapped = createWrappedGenerator(
-      vi.fn().mockResolvedValue(
-        createResponse(
-          'resp-1',
-          'model-v2',
-          [{ text: 'ok' }],
-          {
-            promptTokenCount: 3,
-            candidatesTokenCount: 5,
-            totalTokenCount: 8,
-          },
-          'STOP',
-        ),
-      ),
-      vi.fn(),
-    );
-    const generator = new LoggingContentGenerator(
-      wrapped,
-      createConfig({
-        enableOpenAILogging: true,
-        openAILoggingDir: 'logs',
-        schemaCompliance: 'openapi_30',
-      }),
-    );
-
-    const request = {
-      model: 'test-model',
-      contents: [
-        {
-          role: 'user',
-          parts: [
-            { text: 'Hello', thought: 'internal' },
-            {
-              functionCall: { id: 'call-1', name: 'tool', args: '{}' },
-              thought: 'strip-me',
-            },
-            null,
-          ],
-        },
-      ],
-      config: {
-        temperature: 0.3,
-        topP: 0.9,
-        maxOutputTokens: 256,
-        presencePenalty: 0.2,
-        frequencyPenalty: 0.1,
-        tools: [
-          {
-            functionDeclarations: [
-              { name: 'tool', description: 'desc', parameters: {} },
-            ],
-          },
-        ],
-      },
-    } as unknown as GenerateContentParameters;
-
-    const response = await generator.generateContent(request, 'prompt-1');
-
-    expect(response.responseId).toBe('resp-1');
-    expect(logApiRequest).toHaveBeenCalledTimes(1);
-    const [, requestEvent] = vi.mocked(logApiRequest).mock.calls[0];
-    const loggedContents = JSON.parse(requestEvent.request_text || '[]');
-    expect(loggedContents[0].parts[0]).toEqual({
-      text: 'Hello\n[Thought: internal]',
-    });
-    expect(loggedContents[0].parts[1]).toEqual({
-      functionCall: { id: 'call-1', name: 'tool', args: '{}' },
-    });
-
-    expect(logApiResponse).toHaveBeenCalledTimes(1);
-    const [, responseEvent] = vi.mocked(logApiResponse).mock.calls[0];
-    expect(responseEvent.response_id).toBe('resp-1');
-    expect(responseEvent.model).toBe('model-v2');
-    expect(responseEvent.prompt_id).toBe('prompt-1');
-    expect(responseEvent.input_token_count).toBe(3);
-
-    expect(convertGeminiRequestToOpenAISpy).toHaveBeenCalledTimes(1);
-    expect(convertGeminiToolsToOpenAISpy).toHaveBeenCalledTimes(1);
-    expect(convertGeminiResponseToOpenAISpy).toHaveBeenCalledTimes(1);
-
-    const openaiLoggerInstance = vi.mocked(OpenAILogger).mock.results[0]
-      ?.value as { logInteraction: ReturnType<typeof vi.fn> };
-    expect(openaiLoggerInstance.logInteraction).toHaveBeenCalledTimes(1);
-    const [openaiRequest, openaiResponse, openaiError] =
-      openaiLoggerInstance.logInteraction.mock.calls[0];
-    expect(openaiRequest).toEqual(
-      expect.objectContaining({
-        model: 'test-model',
-        messages: [{ role: 'user', content: 'converted' }],
-        tools: [{ type: 'function', function: { name: 'tool' } }],
-        temperature: 0.3,
-        top_p: 0.9,
-        max_tokens: 256,
-        presence_penalty: 0.2,
-        frequency_penalty: 0.1,
-      }),
-    );
-    expect(openaiResponse).toEqual({
-      id: 'openai-response',
-      object: 'chat.completion',
-      created: 123456789,
-      model: 'test-model',
-      choices: [],
-    });
-    expect(openaiError).toBeUndefined();
-  });
-
-  it('logs errors with status code and request id, then rethrows', async () => {
-    const error = Object.assign(new Error('boom'), {
-      code: 429,
-      request_id: 'req-99',
-      type: 'rate_limit',
-    });
-    const wrapped = createWrappedGenerator(
-      vi.fn().mockRejectedValue(error),
-      vi.fn(),
-    );
-    const generator = new LoggingContentGenerator(
-      wrapped,
-      createConfig({ enableOpenAILogging: true }),
-    );
-
-    const request = {
-      model: 'test-model',
-      contents: 'Hello',
-    } as unknown as GenerateContentParameters;
-
-    await expect(
-      generator.generateContent(request, 'prompt-2'),
-    ).rejects.toThrow('boom');
-
-    expect(logApiError).toHaveBeenCalledTimes(1);
-    const [, errorEvent] = vi.mocked(logApiError).mock.calls[0];
-    expect(errorEvent.response_id).toBe('req-99');
-    expect(errorEvent.status_code).toBe(429);
-    expect(errorEvent.error_type).toBe('rate_limit');
-    expect(errorEvent.prompt_id).toBe('prompt-2');
-
-    const openaiLoggerInstance = vi.mocked(OpenAILogger).mock.results[0]
-      ?.value as { logInteraction: ReturnType<typeof vi.fn> };
-    const [, , loggedError] = openaiLoggerInstance.logInteraction.mock.calls[0];
-    expect(loggedError).toBeInstanceOf(Error);
-    expect((loggedError as Error).message).toBe('boom');
-  });
-
-  it('logs streaming responses and consolidates tool calls', async () => {
-    const usage1 = {
-      promptTokenCount: 1,
-    } as GenerateContentResponseUsageMetadata;
-    const usage2 = {
-      promptTokenCount: 2,
-      candidatesTokenCount: 4,
-      totalTokenCount: 6,
-    } as GenerateContentResponseUsageMetadata;
-
-    const response1 = createResponse(
-      'resp-1',
-      'model-stream',
-      [
-        { text: 'Hello' },
-        { functionCall: { id: 'call-1', name: 'tool', args: '{}' } },
-      ],
-      usage1,
-    );
-    const response2 = createResponse(
-      'resp-2',
-      'model-stream',
-      [
-        { text: ' world' },
-        { functionCall: { id: 'call-1', name: 'tool', args: '{"x":1}' } },
-        { functionResponse: { name: 'tool', response: { output: 'ok' } } },
-      ],
-      usage2,
-      'STOP',
-    );
-
-    const wrapped = createWrappedGenerator(
-      vi.fn(),
-      vi.fn().mockResolvedValue(
-        (async function* () {
-          yield response1;
-          yield response2;
-        })(),
-      ),
-    );
-    const generator = new LoggingContentGenerator(
-      wrapped,
-      createConfig({ enableOpenAILogging: true }),
-    );
-
-    const request = {
-      model: 'test-model',
-      contents: 'Hello',
-    } as unknown as GenerateContentParameters;
-
-    const stream = await generator.generateContentStream(request, 'prompt-3');
-    const seen: GenerateContentResponse[] = [];
-    for await (const item of stream) {
-      seen.push(item);
-    }
-    expect(seen).toHaveLength(2);
-
-    expect(logApiResponse).toHaveBeenCalledTimes(1);
-    const [, responseEvent] = vi.mocked(logApiResponse).mock.calls[0];
-    expect(responseEvent.response_id).toBe('resp-1');
-    expect(responseEvent.input_token_count).toBe(2);
-
-    expect(convertGeminiResponseToOpenAISpy).toHaveBeenCalledTimes(1);
-    const [consolidatedResponse] =
-      convertGeminiResponseToOpenAISpy.mock.calls[0];
-    const consolidatedParts =
-      consolidatedResponse.candidates?.[0]?.content?.parts || [];
-    expect(consolidatedParts).toEqual([
-      { text: 'Hello' },
-      { functionCall: { id: 'call-1', name: 'tool', args: '{"x":1}' } },
-      { text: ' world' },
-      { functionResponse: { name: 'tool', response: { output: 'ok' } } },
-    ]);
-    expect(consolidatedResponse.usageMetadata).toBe(usage2);
-    expect(consolidatedResponse.responseId).toBe('resp-2');
-    expect(consolidatedResponse.candidates?.[0]?.finishReason).toBe('STOP');
-  });
-
-  it('logs stream errors and skips response logging', async () => {
-    const response1 = createResponse('resp-1', 'model-stream', [
-      { text: 'partial' },
-    ]);
-    const streamError = new Error('stream-fail');
-    const wrapped = createWrappedGenerator(
-      vi.fn(),
-      vi.fn().mockResolvedValue(
-        (async function* () {
-          yield response1;
-          throw streamError;
-        })(),
-      ),
-    );
-    const generator = new LoggingContentGenerator(
-      wrapped,
-      createConfig({ enableOpenAILogging: true }),
-    );
-
-    const request = {
-      model: 'test-model',
-      contents: 'Hello',
-    } as unknown as GenerateContentParameters;
-
-    const stream = await generator.generateContentStream(request, 'prompt-4');
-    await expect(async () => {
-      for await (const _item of stream) {
-        // Consume stream to trigger error.
-      }
-    }).rejects.toThrow('stream-fail');
-
-    expect(logApiResponse).not.toHaveBeenCalled();
-    expect(logApiError).toHaveBeenCalledTimes(1);
-    const openaiLoggerInstance = vi.mocked(OpenAILogger).mock.results[0]
-      ?.value as { logInteraction: ReturnType<typeof vi.fn> };
-    expect(openaiLoggerInstance.logInteraction).toHaveBeenCalledTimes(1);
-  });
-});

packages/core/src/core/loggingContentGenerator/loggingContentGenerator.ts

@@ -1,507 +0,0 @@
-/**
- * @license
- * Copyright 2025 Google LLC
- * SPDX-License-Identifier: Apache-2.0
- */
-
-import {
-  GenerateContentResponse,
-  type Content,
-  type CountTokensParameters,
-  type CountTokensResponse,
-  type EmbedContentParameters,
-  type EmbedContentResponse,
-  type GenerateContentParameters,
-  type GenerateContentResponseUsageMetadata,
-  type ContentListUnion,
-  type ContentUnion,
-  type Part,
-  type PartUnion,
-  type FinishReason,
-} from '@google/genai';
-import type OpenAI from 'openai';
-import {
-  ApiRequestEvent,
-  ApiResponseEvent,
-  ApiErrorEvent,
-} from '../../telemetry/types.js';
-import type { Config } from '../../config/config.js';
-import {
-  logApiError,
-  logApiRequest,
-  logApiResponse,
-} from '../../telemetry/loggers.js';
-import type { ContentGenerator } from '../contentGenerator.js';
-import { isStructuredError } from '../../utils/quotaErrorDetection.js';
-import { OpenAIContentConverter } from '../openaiContentGenerator/converter.js';
-import { OpenAILogger } from '../../utils/openaiLogger.js';
-
-interface StructuredError {
-  status: number;
-}
-
-/**
- * A decorator that wraps a ContentGenerator to add logging to API calls.
- */
-export class LoggingContentGenerator implements ContentGenerator {
-  private openaiLogger?: OpenAILogger;
-  private schemaCompliance?: 'auto' | 'openapi_30';
-
-  constructor(
-    private readonly wrapped: ContentGenerator,
-    private readonly config: Config,
-  ) {
-    const generatorConfig = this.config.getContentGeneratorConfig();
-    if (generatorConfig?.enableOpenAILogging) {
-      this.openaiLogger = new OpenAILogger(generatorConfig.openAILoggingDir);
-      this.schemaCompliance = generatorConfig.schemaCompliance;
-    }
-  }
-
-  getWrapped(): ContentGenerator {
-    return this.wrapped;
-  }
-
-  private logApiRequest(
-    contents: Content[],
-    model: string,
-    promptId: string,
-  ): void {
-    const requestText = JSON.stringify(contents);
-    logApiRequest(
-      this.config,
-      new ApiRequestEvent(model, promptId, requestText),
-    );
-  }
-
-  private _logApiResponse(
-    responseId: string,
-    durationMs: number,
-    model: string,
-    prompt_id: string,
-    usageMetadata?: GenerateContentResponseUsageMetadata,
-    responseText?: string,
-  ): void {
-    logApiResponse(
-      this.config,
-      new ApiResponseEvent(
-        responseId,
-        model,
-        durationMs,
-        prompt_id,
-        this.config.getContentGeneratorConfig()?.authType,
-        usageMetadata,
-        responseText,
-      ),
-    );
-  }
-
-  private _logApiError(
-    responseId: string | undefined,
-    durationMs: number,
-    error: unknown,
-    model: string,
-    prompt_id: string,
-  ): void {
-    const errorMessage = error instanceof Error ? error.message : String(error);
-    const errorType =
-      (error as { type?: string })?.type ||
-      (error instanceof Error ? error.name : 'unknown');
-    const errorResponseId =
-      (error as { requestID?: string; request_id?: string })?.requestID ||
-      (error as { requestID?: string; request_id?: string })?.request_id ||
-      responseId;
-    const errorStatus =
-      (error as { code?: string | number; status?: number })?.code ??
-      (error as { status?: number })?.status ??
-      (isStructuredError(error)
-        ? (error as StructuredError).status
-        : undefined);
-
-    logApiError(
-      this.config,
-      new ApiErrorEvent(
-        errorResponseId,
-        model,
-        errorMessage,
-        durationMs,
-        prompt_id,
-        this.config.getContentGeneratorConfig()?.authType,
-        errorType,
-        errorStatus,
-      ),
-    );
-  }
-
-  async generateContent(
-    req: GenerateContentParameters,
-    userPromptId: string,
-  ): Promise<GenerateContentResponse> {
-    const startTime = Date.now();
-    this.logApiRequest(this.toContents(req.contents), req.model, userPromptId);
-    const openaiRequest = await this.buildOpenAIRequestForLogging(req);
-    try {
-      const response = await this.wrapped.generateContent(req, userPromptId);
-      const durationMs = Date.now() - startTime;
-      this._logApiResponse(
-        response.responseId ?? '',
-        durationMs,
-        response.modelVersion || req.model,
-        userPromptId,
-        response.usageMetadata,
-        JSON.stringify(response),
-      );
-      await this.logOpenAIInteraction(openaiRequest, response);
-      return response;
-    } catch (error) {
-      const durationMs = Date.now() - startTime;
-      this._logApiError(undefined, durationMs, error, req.model, userPromptId);
-      await this.logOpenAIInteraction(openaiRequest, undefined, error);
-      throw error;
-    }
-  }
-
-  async generateContentStream(
-    req: GenerateContentParameters,
-    userPromptId: string,
-  ): Promise<AsyncGenerator<GenerateContentResponse>> {
-    const startTime = Date.now();
-    this.logApiRequest(this.toContents(req.contents), req.model, userPromptId);
-    const openaiRequest = await this.buildOpenAIRequestForLogging(req);
-
-    let stream: AsyncGenerator<GenerateContentResponse>;
-    try {
-      stream = await this.wrapped.generateContentStream(req, userPromptId);
-    } catch (error) {
-      const durationMs = Date.now() - startTime;
-      this._logApiError(undefined, durationMs, error, req.model, userPromptId);
-      await this.logOpenAIInteraction(openaiRequest, undefined, error);
-      throw error;
-    }
-
-    return this.loggingStreamWrapper(
-      stream,
-      startTime,
-      userPromptId,
-      req.model,
-      openaiRequest,
-    );
-  }
-
-  private async *loggingStreamWrapper(
-    stream: AsyncGenerator<GenerateContentResponse>,
-    startTime: number,
-    userPromptId: string,
-    model: string,
-    openaiRequest?: OpenAI.Chat.ChatCompletionCreateParams,
-  ): AsyncGenerator<GenerateContentResponse> {
-    const responses: GenerateContentResponse[] = [];
-
-    let lastUsageMetadata: GenerateContentResponseUsageMetadata | undefined;
-    try {
-      for await (const response of stream) {
-        responses.push(response);
-        if (response.usageMetadata) {
-          lastUsageMetadata = response.usageMetadata;
-        }
-        yield response;
-      }
-      // Only log successful API response if no error occurred
-      const durationMs = Date.now() - startTime;
-      this._logApiResponse(
-        responses[0]?.responseId ?? '',
-        durationMs,
-        responses[0]?.modelVersion || model,
-        userPromptId,
-        lastUsageMetadata,
-        JSON.stringify(responses),
-      );
-      const consolidatedResponse =
-        this.consolidateGeminiResponsesForLogging(responses);
-      await this.logOpenAIInteraction(openaiRequest, consolidatedResponse);
-    } catch (error) {
-      const durationMs = Date.now() - startTime;
-      this._logApiError(
-        undefined,
-        durationMs,
-        error,
-        responses[0]?.modelVersion || model,
-        userPromptId,
-      );
-      await this.logOpenAIInteraction(openaiRequest, undefined, error);
-      throw error;
-    }
-  }
-
-  private async buildOpenAIRequestForLogging(
-    request: GenerateContentParameters,
-  ): Promise<OpenAI.Chat.ChatCompletionCreateParams | undefined> {
-    if (!this.openaiLogger) {
-      return undefined;
-    }
-
-    const converter = new OpenAIContentConverter(
-      request.model,
-      this.schemaCompliance,
-    );
-    const messages = converter.convertGeminiRequestToOpenAI(request, {
-      cleanOrphanToolCalls: false,
-    });
-
-    const openaiRequest: OpenAI.Chat.ChatCompletionCreateParams = {
-      model: request.model,
-      messages,
-    };
-
-    if (request.config?.tools) {
-      openaiRequest.tools = await converter.convertGeminiToolsToOpenAI(
-        request.config.tools,
-      );
-    }
-
-    if (request.config?.temperature !== undefined) {
-      openaiRequest.temperature = request.config.temperature;
-    }
-    if (request.config?.topP !== undefined) {
-      openaiRequest.top_p = request.config.topP;
-    }
-    if (request.config?.maxOutputTokens !== undefined) {
-      openaiRequest.max_tokens = request.config.maxOutputTokens;
-    }
-    if (request.config?.presencePenalty !== undefined) {
-      openaiRequest.presence_penalty = request.config.presencePenalty;
-    }
-    if (request.config?.frequencyPenalty !== undefined) {
-      openaiRequest.frequency_penalty = request.config.frequencyPenalty;
-    }
-
-    return openaiRequest;
-  }
-
-  private async logOpenAIInteraction(
-    openaiRequest: OpenAI.Chat.ChatCompletionCreateParams | undefined,
-    response?: GenerateContentResponse,
-    error?: unknown,
-  ): Promise<void> {
-    if (!this.openaiLogger || !openaiRequest) {
-      return;
-    }
-
-    const openaiResponse = response
-      ? this.convertGeminiResponseToOpenAIForLogging(response, openaiRequest)
-      : undefined;
-
-    await this.openaiLogger.logInteraction(
-      openaiRequest,
-      openaiResponse,
-      error instanceof Error
-        ? error
-        : error
-          ? new Error(String(error))
-          : undefined,
-    );
-  }
-
-  private convertGeminiResponseToOpenAIForLogging(
-    response: GenerateContentResponse,
-    openaiRequest: OpenAI.Chat.ChatCompletionCreateParams,
-  ): OpenAI.Chat.ChatCompletion {
-    const converter = new OpenAIContentConverter(
-      openaiRequest.model,
-      this.schemaCompliance,
-    );
-
-    return converter.convertGeminiResponseToOpenAI(response);
-  }
-
-  private consolidateGeminiResponsesForLogging(
-    responses: GenerateContentResponse[],
-  ): GenerateContentResponse | undefined {
-    if (responses.length === 0) {
-      return undefined;
-    }
-
-    const consolidated = new GenerateContentResponse();
-    const combinedParts: Part[] = [];
-    const functionCallIndex = new Map<string, number>();
-    let finishReason: FinishReason | undefined;
-    let usageMetadata: GenerateContentResponseUsageMetadata | undefined;
-
-    for (const response of responses) {
-      if (response.usageMetadata) {
-        usageMetadata = response.usageMetadata;
-      }
-
-      const candidate = response.candidates?.[0];
-      if (candidate?.finishReason) {
-        finishReason = candidate.finishReason;
-      }
-
-      const parts = candidate?.content?.parts ?? [];
-      for (const part of parts as Part[]) {
-        if (typeof part === 'string') {
-          combinedParts.push({ text: part });
-          continue;
-        }
-
-        if ('text' in part) {
-          if (part.text) {
-            combinedParts.push({
-              text: part.text,
-              ...(part.thought ? { thought: true } : {}),
-              ...(part.thoughtSignature
-                ? { thoughtSignature: part.thoughtSignature }
-                : {}),
-            });
-          }
-          continue;
-        }
-
-        if ('functionCall' in part && part.functionCall) {
-          const callKey =
-            part.functionCall.id || part.functionCall.name || 'tool_call';
-          const existingIndex = functionCallIndex.get(callKey);
-          const functionPart = { functionCall: part.functionCall };
-          if (existingIndex !== undefined) {
-            combinedParts[existingIndex] = functionPart;
-          } else {
-            functionCallIndex.set(callKey, combinedParts.length);
-            combinedParts.push(functionPart);
-          }
-          continue;
-        }
-
-        if ('functionResponse' in part && part.functionResponse) {
-          combinedParts.push({ functionResponse: part.functionResponse });
-          continue;
-        }
-
-        combinedParts.push(part);
-      }
-    }
-
-    const lastResponse = responses[responses.length - 1];
-    const lastCandidate = lastResponse.candidates?.[0];
-
-    consolidated.responseId = lastResponse.responseId;
-    consolidated.createTime = lastResponse.createTime;
-    consolidated.modelVersion = lastResponse.modelVersion;
-    consolidated.promptFeedback = lastResponse.promptFeedback;
-    consolidated.usageMetadata = usageMetadata;
-
-    consolidated.candidates = [
-      {
-        content: {
-          role: lastCandidate?.content?.role || 'model',
-          parts: combinedParts,
-        },
-        ...(finishReason ? { finishReason } : {}),
-        index: 0,
-        safetyRatings: lastCandidate?.safetyRatings || [],
-      },
-    ];
-
-    return consolidated;
-  }
-
-  async countTokens(req: CountTokensParameters): Promise<CountTokensResponse> {
-    return this.wrapped.countTokens(req);
-  }
-
-  async embedContent(
-    req: EmbedContentParameters,
-  ): Promise<EmbedContentResponse> {
-    return this.wrapped.embedContent(req);
-  }
-
-  useSummarizedThinking(): boolean {
-    return this.wrapped.useSummarizedThinking();
-  }
-
-  private toContents(contents: ContentListUnion): Content[] {
-    if (Array.isArray(contents)) {
-      // it's a Content[] or a PartsUnion[]
-      return contents.map((c) => this.toContent(c));
-    }
-    // it's a Content or a PartsUnion
-    return [this.toContent(contents)];
-  }
-
-  private toContent(content: ContentUnion): Content {
-    if (Array.isArray(content)) {
-      // it's a PartsUnion[]
-      return {
-        role: 'user',
-        parts: this.toParts(content),
-      };
-    }
-    if (typeof content === 'string') {
-      // it's a string
-      return {
-        role: 'user',
-        parts: [{ text: content }],
-      };
-    }
-    if ('parts' in content) {
-      // it's a Content - process parts to handle thought filtering
-      return {
-        ...content,
-        parts: content.parts
-          ? this.toParts(content.parts.filter((p) => p != null))
-          : [],
-      };
-    }
-    // it's a Part
-    return {
-      role: 'user',
-      parts: [this.toPart(content as Part)],
-    };
-  }
-
-  private toParts(parts: PartUnion[]): Part[] {
-    return parts.map((p) => this.toPart(p));
-  }
-
-  private toPart(part: PartUnion): Part {
-    if (typeof part === 'string') {
-      // it's a string
-      return { text: part };
-    }
-
-    // Handle thought parts for CountToken API compatibility
-    // The CountToken API expects parts to have certain required "oneof" fields initialized,
-    // but thought parts don't conform to this schema and cause API failures
-    if ('thought' in part && part.thought) {
-      const thoughtText = `[Thought: ${part.thought}]`;
-
-      const newPart = { ...part };
-      delete (newPart as Record<string, unknown>)['thought'];
-
-      const hasApiContent =
-        'functionCall' in newPart ||
-        'functionResponse' in newPart ||
-        'inlineData' in newPart ||
-        'fileData' in newPart;
-
-      if (hasApiContent) {
-        // It's a functionCall or other non-text part. Just strip the thought.
-        return newPart;
-      }
-
-      // If no other valid API content, this must be a text part.
-      // Combine existing text (if any) with the thought, preserving other properties.
-      const text = (newPart as { text?: unknown }).text;
-      const existingText = text ? String(text) : '';
-      const combinedText = existingText
-        ? `${existingText}\n${thoughtText}`
-        : thoughtText;
-
-      return {
-        ...newPart,
-        text: combinedText,
-      };
-    }
-
-    return part;
-  }
-}

packages/core/src/core/nonInteractiveToolExecutor.test.ts

@@ -47,7 +47,7 @@ describe('executeToolCall', () => {
       getDebugMode: () => false,
       getContentGeneratorConfig: () => ({
         model: 'test-model',
-        authType: 'gemini-api-key',
+        authType: 'oauth-personal',
       }),
       getShellExecutionConfig: () => ({
         terminalWidth: 90,

packages/core/src/core/openaiContentGenerator/converter.ts

@@ -236,9 +236,8 @@ export class OpenAIContentConverter {
    */
   convertGeminiRequestToOpenAI(
     request: GenerateContentParameters,
-    options: { cleanOrphanToolCalls: boolean } = { cleanOrphanToolCalls: true },
   ): OpenAI.Chat.ChatCompletionMessageParam[] {
-    let messages: OpenAI.Chat.ChatCompletionMessageParam[] = [];
+    const messages: OpenAI.Chat.ChatCompletionMessageParam[] = [];
 
     // Handle system instruction from config
     this.addSystemInstructionMessage(request, messages);
@@ -247,89 +246,11 @@ export class OpenAIContentConverter {
     this.processContents(request.contents, messages);
 
     // Clean up orphaned tool calls and merge consecutive assistant messages
-    if (options.cleanOrphanToolCalls) {
-      messages = this.cleanOrphanedToolCalls(messages);
-    }
-    messages = this.mergeConsecutiveAssistantMessages(messages);
+    const cleanedMessages = this.cleanOrphanedToolCalls(messages);
+    const mergedMessages =
+      this.mergeConsecutiveAssistantMessages(cleanedMessages);
 
-    return messages;
-  }
-
-  /**
-   * Convert Gemini response to OpenAI completion format (for logging).
-   */
-  convertGeminiResponseToOpenAI(
-    response: GenerateContentResponse,
-  ): OpenAI.Chat.ChatCompletion {
-    const candidate = response.candidates?.[0];
-    const parts = (candidate?.content?.parts || []) as Part[];
-    const parsedParts = this.parseParts(parts);
-
-    const message: ExtendedCompletionMessage = {
-      role: 'assistant',
-      content: parsedParts.contentParts.join('') || null,
-      refusal: null,
-    };
-
-    const reasoningContent = parsedParts.thoughtParts.join('');
-    if (reasoningContent) {
-      message.reasoning_content = reasoningContent;
-    }
-
-    if (parsedParts.functionCalls.length > 0) {
-      message.tool_calls = parsedParts.functionCalls.map((call, index) => ({
-        id: call.id || `call_${index}`,
-        type: 'function' as const,
-        function: {
-          name: call.name || '',
-          arguments: JSON.stringify(call.args || {}),
-        },
-      }));
-    }
-
-    const finishReason = this.mapGeminiFinishReasonToOpenAI(
-      candidate?.finishReason,
-    );
-
-    const usageMetadata = response.usageMetadata;
-    const usage: OpenAI.CompletionUsage = {
-      prompt_tokens: usageMetadata?.promptTokenCount || 0,
-      completion_tokens: usageMetadata?.candidatesTokenCount || 0,
-      total_tokens: usageMetadata?.totalTokenCount || 0,
-    };
-
-    if (usageMetadata?.cachedContentTokenCount !== undefined) {
-      (
-        usage as OpenAI.CompletionUsage & {
-          prompt_tokens_details?: { cached_tokens?: number };
-        }
-      ).prompt_tokens_details = {
-        cached_tokens: usageMetadata.cachedContentTokenCount,
-      };
-    }
-
-    const createdMs = response.createTime
-      ? Number(response.createTime)
-      : Date.now();
-    const createdSeconds = Number.isFinite(createdMs)
-      ? Math.floor(createdMs / 1000)
-      : Math.floor(Date.now() / 1000);
-
-    return {
-      id: response.responseId || `gemini-${Date.now()}`,
-      object: 'chat.completion',
-      created: createdSeconds,
-      model: response.modelVersion || this.model,
-      choices: [
-        {
-          index: 0,
-          message,
-          finish_reason: finishReason,
-          logprobs: null,
-        },
-      ],
-      usage,
-    };
+    return mergedMessages;
   }
 
   /**
@@ -915,6 +836,84 @@ export class OpenAIContentConverter {
     return response;
   }
 
+  /**
+   * Convert Gemini response format to OpenAI chat completion format for logging
+   */
+  convertGeminiResponseToOpenAI(
+    response: GenerateContentResponse,
+  ): OpenAI.Chat.ChatCompletion {
+    const candidate = response.candidates?.[0];
+    const content = candidate?.content;
+
+    let messageContent: string | null = null;
+    const toolCalls: OpenAI.Chat.ChatCompletionMessageToolCall[] = [];
+
+    if (content?.parts) {
+      const textParts: string[] = [];
+
+      for (const part of content.parts) {
+        if ('text' in part && part.text) {
+          textParts.push(part.text);
+        } else if ('functionCall' in part && part.functionCall) {
+          toolCalls.push({
+            id: part.functionCall.id || `call_${toolCalls.length}`,
+            type: 'function' as const,
+            function: {
+              name: part.functionCall.name || '',
+              arguments: JSON.stringify(part.functionCall.args || {}),
+            },
+          });
+        }
+      }
+
+      messageContent = textParts.join('').trimEnd();
+    }
+
+    const choice: OpenAI.Chat.ChatCompletion.Choice = {
+      index: 0,
+      message: {
+        role: 'assistant',
+        content: messageContent,
+        refusal: null,
+      },
+      finish_reason: this.mapGeminiFinishReasonToOpenAI(
+        candidate?.finishReason,
+      ) as OpenAI.Chat.ChatCompletion.Choice['finish_reason'],
+      logprobs: null,
+    };
+
+    if (toolCalls.length > 0) {
+      choice.message.tool_calls = toolCalls;
+    }
+
+    const openaiResponse: OpenAI.Chat.ChatCompletion = {
+      id: response.responseId || `chatcmpl-${Date.now()}`,
+      object: 'chat.completion',
+      created: response.createTime
+        ? Number(response.createTime)
+        : Math.floor(Date.now() / 1000),
+      model: this.model,
+      choices: [choice],
+    };
+
+    // Add usage metadata if available
+    if (response.usageMetadata) {
+      openaiResponse.usage = {
+        prompt_tokens: response.usageMetadata.promptTokenCount || 0,
+        completion_tokens: response.usageMetadata.candidatesTokenCount || 0,
+        total_tokens: response.usageMetadata.totalTokenCount || 0,
+      };
+
+      if (response.usageMetadata.cachedContentTokenCount) {
+        openaiResponse.usage.prompt_tokens_details = {
+          cached_tokens: response.usageMetadata.cachedContentTokenCount,
+        };
+      }
+    }
+
+    return openaiResponse;
+  }
+
   /**
    * Map OpenAI finish reasons to Gemini finish reasons
    */
@@ -932,24 +931,29 @@ export class OpenAIContentConverter {
     return mapping[openaiReason] || FinishReason.FINISH_REASON_UNSPECIFIED;
   }
 
-  private mapGeminiFinishReasonToOpenAI(
-    geminiReason?: FinishReason,
-  ): 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call' {
-    if (!geminiReason) {
-      return 'stop';
-    }
+  /**
+   * Map Gemini finish reasons to OpenAI finish reasons
+   */
+  private mapGeminiFinishReasonToOpenAI(geminiReason?: unknown): string {
+    if (!geminiReason) return 'stop';
 
     switch (geminiReason) {
-      case FinishReason.STOP:
+      case 'STOP':
+      case 1: // FinishReason.STOP
         return 'stop';
-      case FinishReason.MAX_TOKENS:
+      case 'MAX_TOKENS':
+      case 2: // FinishReason.MAX_TOKENS
         return 'length';
-      case FinishReason.SAFETY:
+      case 'SAFETY':
+      case 3: // FinishReason.SAFETY
         return 'content_filter';
+      case 'RECITATION':
+      case 4: // FinishReason.RECITATION
+        return 'content_filter';
+      case 'OTHER':
+      case 5: // FinishReason.OTHER
+        return 'stop';
       default:
-        if (geminiReason === ('RECITATION' as FinishReason)) {
-          return 'content_filter';
-        }
         return 'stop';
     }
   }

packages/core/src/core/openaiContentGenerator/errorHandler.test.ts

@@ -7,7 +7,7 @@
 import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
 import type { GenerateContentParameters } from '@google/genai';
 import { EnhancedErrorHandler } from './errorHandler.js';
-import type { RequestContext } from './errorHandler.js';
+import type { RequestContext } from './telemetryService.js';
 
 describe('EnhancedErrorHandler', () => {
   let errorHandler: EnhancedErrorHandler;

packages/core/src/core/openaiContentGenerator/errorHandler.ts

@@ -5,15 +5,7 @@
  */
 
 import type { GenerateContentParameters } from '@google/genai';
-
-export interface RequestContext {
-  userPromptId: string;
-  model: string;
-  authType: string;
-  startTime: number;
-  duration: number;
-  isStreaming: boolean;
-}
+import type { RequestContext } from './telemetryService.js';
 
 export interface ErrorHandler {
   handle(

packages/core/src/core/openaiContentGenerator/index.ts

@@ -91,4 +91,11 @@ export function determineProvider(
   return new DefaultOpenAICompatibleProvider(contentGeneratorConfig, cliConfig);
 }
 
+// Services
+export {
+  type TelemetryService,
+  type RequestContext,
+  DefaultTelemetryService,
+} from './telemetryService.js';
+
 export { type ErrorHandler, EnhancedErrorHandler } from './errorHandler.js';

packages/core/src/core/openaiContentGenerator/openaiContentGenerator.test.ts

@@ -99,7 +99,6 @@ describe('OpenAIContentGenerator (Refactored)', () => {
         },
       } as unknown as OpenAI),
       buildRequest: vi.fn().mockImplementation((req) => req),
-      getDefaultGenerationConfig: vi.fn().mockReturnValue({}),
     };
 
     generator = new OpenAIContentGenerator(
@@ -212,7 +211,6 @@ describe('OpenAIContentGenerator (Refactored)', () => {
           },
         } as unknown as OpenAI),
         buildRequest: vi.fn().mockImplementation((req) => req),
-        getDefaultGenerationConfig: vi.fn().mockReturnValue({}),
       };
 
       const testGenerator = new TestGenerator(
@@ -279,7 +277,6 @@ describe('OpenAIContentGenerator (Refactored)', () => {
           },
         } as unknown as OpenAI),
         buildRequest: vi.fn().mockImplementation((req) => req),
-        getDefaultGenerationConfig: vi.fn().mockReturnValue({}),
       };
 
       const testGenerator = new TestGenerator(

packages/core/src/core/openaiContentGenerator/openaiContentGenerator.ts

@@ -11,6 +11,7 @@ import type {
 } from '@google/genai';
 import type { PipelineConfig } from './pipeline.js';
 import { ContentGenerationPipeline } from './pipeline.js';
+import { DefaultTelemetryService } from './telemetryService.js';
 import { EnhancedErrorHandler } from './errorHandler.js';
 import { getDefaultTokenizer } from '../../utils/request-tokenizer/index.js';
 import type { ContentGeneratorConfig } from '../contentGenerator.js';
@@ -28,6 +29,11 @@ export class OpenAIContentGenerator implements ContentGenerator {
       cliConfig,
       provider,
       contentGeneratorConfig,
+      telemetryService: new DefaultTelemetryService(
+        cliConfig,
+        contentGeneratorConfig.enableOpenAILogging,
+        contentGeneratorConfig.openAILoggingDir,
+      ),
       errorHandler: new EnhancedErrorHandler(
         (error: unknown, request: GenerateContentParameters) =>
           this.shouldSuppressErrorLogging(error, request),
@@ -148,8 +154,4 @@ export class OpenAIContentGenerator implements ContentGenerator {
       );
     }
   }
-
-  useSummarizedThinking(): boolean {
-    return false;
-  }
 }

packages/core/src/core/openaiContentGenerator/pipeline.test.ts

@@ -15,6 +15,7 @@ import { OpenAIContentConverter } from './converter.js';
 import type { Config } from '../../config/config.js';
 import type { ContentGeneratorConfig, AuthType } from '../contentGenerator.js';
 import type { OpenAICompatibleProvider } from './provider/index.js';
+import type { TelemetryService } from './telemetryService.js';
 import type { ErrorHandler } from './errorHandler.js';
 
 // Mock dependencies
@@ -27,6 +28,7 @@ describe('ContentGenerationPipeline', () => {
   let mockProvider: OpenAICompatibleProvider;
   let mockClient: OpenAI;
   let mockConverter: OpenAIContentConverter;
+  let mockTelemetryService: TelemetryService;
   let mockErrorHandler: ErrorHandler;
   let mockContentGeneratorConfig: ContentGeneratorConfig;
   let mockCliConfig: Config;
@@ -58,7 +60,13 @@ describe('ContentGenerationPipeline', () => {
       buildClient: vi.fn().mockReturnValue(mockClient),
       buildRequest: vi.fn().mockImplementation((req) => req),
       buildHeaders: vi.fn().mockReturnValue({}),
-      getDefaultGenerationConfig: vi.fn().mockReturnValue({}),
+    };
+
+    // Mock telemetry service
+    mockTelemetryService = {
+      logSuccess: vi.fn().mockResolvedValue(undefined),
+      logError: vi.fn().mockResolvedValue(undefined),
+      logStreamingSuccess: vi.fn().mockResolvedValue(undefined),
     };
 
     // Mock error handler
@@ -90,6 +98,7 @@ describe('ContentGenerationPipeline', () => {
       cliConfig: mockCliConfig,
       provider: mockProvider,
       contentGeneratorConfig: mockContentGeneratorConfig,
+      telemetryService: mockTelemetryService,
       errorHandler: mockErrorHandler,
     };
 
@@ -162,6 +171,17 @@ describe('ContentGenerationPipeline', () => {
       expect(mockConverter.convertOpenAIResponseToGemini).toHaveBeenCalledWith(
         mockOpenAIResponse,
       );
+      expect(mockTelemetryService.logSuccess).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: false,
+        }),
+        mockGeminiResponse,
+        expect.any(Object),
+        mockOpenAIResponse,
+      );
     });
 
     it('should handle tools in request', async () => {
@@ -247,6 +267,16 @@ describe('ContentGenerationPipeline', () => {
         'API Error',
       );
 
+      expect(mockTelemetryService.logError).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: false,
+        }),
+        testError,
+        expect.any(Object),
+      );
       expect(mockErrorHandler.handle).toHaveBeenCalledWith(
         testError,
         expect.any(Object),
@@ -345,6 +375,17 @@ describe('ContentGenerationPipeline', () => {
           signal: undefined,
         }),
       );
+      expect(mockTelemetryService.logStreamingSuccess).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: true,
+        }),
+        [mockGeminiResponse1, mockGeminiResponse2],
+        expect.any(Object),
+        [mockChunk1, mockChunk2],
+      );
     });
 
     it('should filter empty responses', async () => {
@@ -448,6 +489,16 @@ describe('ContentGenerationPipeline', () => {
 
       expect(results).toHaveLength(0); // No results due to error
       expect(mockConverter.resetStreamingToolCalls).toHaveBeenCalledTimes(2); // Once at start, once on error
+      expect(mockTelemetryService.logError).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: true,
+        }),
+        testError,
+        expect.any(Object),
+      );
       expect(mockErrorHandler.handle).toHaveBeenCalledWith(
         testError,
         expect.any(Object),
@@ -598,6 +649,18 @@ describe('ContentGenerationPipeline', () => {
         candidatesTokenCount: 20,
         totalTokenCount: 30,
       });
+
+      expect(mockTelemetryService.logStreamingSuccess).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: true,
+        }),
+        results,
+        expect.any(Object),
+        [mockChunk1, mockChunk2, mockChunk3],
+      );
     });
 
     it('should handle ideal case where last chunk has both finishReason and usageMetadata', async () => {
@@ -789,6 +852,18 @@ describe('ContentGenerationPipeline', () => {
         candidatesTokenCount: 20,
         totalTokenCount: 30,
       });
+
+      expect(mockTelemetryService.logStreamingSuccess).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: true,
+        }),
+        results,
+        expect.any(Object),
+        [mockChunk1, mockChunk2, mockChunk3],
+      );
     });
 
     it('should handle providers that send finishReason and valid usage in same chunk', async () => {
@@ -1042,6 +1117,19 @@ describe('ContentGenerationPipeline', () => {
       await pipeline.execute(request, userPromptId);
 
       // Assert
+      expect(mockTelemetryService.logSuccess).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: false,
+          startTime: expect.any(Number),
+          duration: expect.any(Number),
+        }),
+        expect.any(Object),
+        expect.any(Object),
+        expect.any(Object),
+      );
     });
 
     it('should create context with correct properties for streaming request', async () => {
@@ -1084,6 +1172,19 @@ describe('ContentGenerationPipeline', () => {
       }
 
       // Assert
+      expect(mockTelemetryService.logStreamingSuccess).toHaveBeenCalledWith(
+        expect.objectContaining({
+          userPromptId,
+          model: 'test-model',
+          authType: 'openai',
+          isStreaming: true,
+          startTime: expect.any(Number),
+          duration: expect.any(Number),
+        }),
+        expect.any(Array),
+        expect.any(Object),
+        expect.any(Array),
+      );
     });
 
     it('should collect all OpenAI chunks for logging even when Gemini responses are filtered', async () => {
@@ -1227,6 +1328,22 @@ describe('ContentGenerationPipeline', () => {
       // Should only yield the final response (empty ones are filtered)
       expect(responses).toHaveLength(1);
       expect(responses[0]).toBe(finalGeminiResponse);
+
+      // Verify telemetry was called with ALL OpenAI chunks, including the filtered ones
+      expect(mockTelemetryService.logStreamingSuccess).toHaveBeenCalledWith(
+        expect.objectContaining({
+          model: 'test-model',
+          duration: expect.any(Number),
+          userPromptId: 'test-prompt-id',
+          authType: 'openai',
+        }),
+        [finalGeminiResponse], // Only the non-empty Gemini response
+        expect.objectContaining({
+          model: 'test-model',
+          messages: [{ role: 'user', content: 'test' }],
+        }),
+        [partialToolCallChunk1, partialToolCallChunk2, finishChunk], // ALL OpenAI chunks
+      );
     });
   });
 });

packages/core/src/core/openaiContentGenerator/pipeline.ts

@@ -13,12 +13,14 @@ import type { Config } from '../../config/config.js';
 import type { ContentGeneratorConfig } from '../contentGenerator.js';
 import type { OpenAICompatibleProvider } from './provider/index.js';
 import { OpenAIContentConverter } from './converter.js';
-import type { ErrorHandler, RequestContext } from './errorHandler.js';
+import type { TelemetryService, RequestContext } from './telemetryService.js';
+import type { ErrorHandler } from './errorHandler.js';
 
 export interface PipelineConfig {
   cliConfig: Config;
   provider: OpenAICompatibleProvider;
   contentGeneratorConfig: ContentGeneratorConfig;
+  telemetryService: TelemetryService;
   errorHandler: ErrorHandler;
 }
 
@@ -44,7 +46,7 @@ export class ContentGenerationPipeline {
       request,
       userPromptId,
       false,
-      async (openaiRequest) => {
+      async (openaiRequest, context) => {
         const openaiResponse = (await this.client.chat.completions.create(
           openaiRequest,
           {
@@ -55,6 +57,14 @@ export class ContentGenerationPipeline {
         const geminiResponse =
           this.converter.convertOpenAIResponseToGemini(openaiResponse);
 
+        // Log success
+        await this.config.telemetryService.logSuccess(
+          context,
+          geminiResponse,
+          openaiRequest,
+          openaiResponse,
+        );
+
         return geminiResponse;
       },
     );
@@ -78,7 +88,12 @@ export class ContentGenerationPipeline {
         )) as AsyncIterable<OpenAI.Chat.ChatCompletionChunk>;
 
         // Stage 2: Process stream with conversion and logging
-        return this.processStreamWithLogging(stream, context, request);
+        return this.processStreamWithLogging(
+          stream,
+          context,
+          openaiRequest,
+          request,
+        );
       },
     );
   }
@@ -95,9 +110,11 @@ export class ContentGenerationPipeline {
   private async *processStreamWithLogging(
     stream: AsyncIterable<OpenAI.Chat.ChatCompletionChunk>,
     context: RequestContext,
+    openaiRequest: OpenAI.Chat.ChatCompletionCreateParams,
     request: GenerateContentParameters,
   ): AsyncGenerator<GenerateContentResponse> {
     const collectedGeminiResponses: GenerateContentResponse[] = [];
+    const collectedOpenAIChunks: OpenAI.Chat.ChatCompletionChunk[] = [];
 
     // Reset streaming tool calls to prevent data pollution from previous streams
     this.converter.resetStreamingToolCalls();
@@ -108,6 +125,9 @@ export class ContentGenerationPipeline {
     try {
       // Stage 2a: Convert and yield each chunk while preserving original
       for await (const chunk of stream) {
+        // Always collect OpenAI chunks for logging, regardless of Gemini conversion result
+        collectedOpenAIChunks.push(chunk);
+
         const response = this.converter.convertOpenAIChunkToGemini(chunk);
 
         // Stage 2b: Filter empty responses to avoid downstream issues
@@ -144,8 +164,15 @@ export class ContentGenerationPipeline {
         yield pendingFinishResponse;
       }
 
-      // Stage 2e: Stream completed successfully
+      // Stage 2e: Stream completed successfully - perform logging with original OpenAI chunks
       context.duration = Date.now() - context.startTime;
+
+      await this.config.telemetryService.logStreamingSuccess(
+        context,
+        collectedGeminiResponses,
+        openaiRequest,
+        collectedOpenAIChunks,
+      );
     } catch (error) {
       // Clear streaming tool calls on error to prevent data pollution
       this.converter.resetStreamingToolCalls();
@@ -231,7 +258,7 @@ export class ContentGenerationPipeline {
     const baseRequest: OpenAI.Chat.ChatCompletionCreateParams = {
       model: this.contentGeneratorConfig.model,
       messages,
-      ...this.buildGenerateContentConfig(request),
+      ...this.buildSamplingParameters(request),
     };
 
     // Add streaming options if present
@@ -253,25 +280,19 @@ export class ContentGenerationPipeline {
     return this.config.provider.buildRequest(baseRequest, userPromptId);
   }
 
-  private buildGenerateContentConfig(
+  private buildSamplingParameters(
     request: GenerateContentParameters,
   ): Record<string, unknown> {
-    const defaultSamplingParams =
-      this.config.provider.getDefaultGenerationConfig();
     const configSamplingParams = this.contentGeneratorConfig.samplingParams;
 
     // Helper function to get parameter value with priority: config > request > default
     const getParameterValue = <T>(
       configKey: keyof NonNullable<typeof configSamplingParams>,
-      requestKey?: keyof NonNullable<typeof request.config>,
+      requestKey: keyof NonNullable<typeof request.config>,
+      defaultValue?: T,
     ): T | undefined => {
       const configValue = configSamplingParams?.[configKey] as T | undefined;
-      const requestValue = requestKey
-        ? (request.config?.[requestKey] as T | undefined)
-        : undefined;
-      const defaultValue = requestKey
-        ? (defaultSamplingParams[requestKey] as T)
-        : undefined;
+      const requestValue = request.config?.[requestKey] as T | undefined;
 
       if (configValue !== undefined) return configValue;
       if (requestValue !== undefined) return requestValue;
@@ -283,13 +304,17 @@ export class ContentGenerationPipeline {
       key: string,
       configKey: keyof NonNullable<typeof configSamplingParams>,
       requestKey?: keyof NonNullable<typeof request.config>,
-    ): Record<string, T | undefined> => {
-      const value = getParameterValue<T>(configKey, requestKey);
+      defaultValue?: T,
+    ): Record<string, T> | Record<string, never> => {
+      const value = requestKey
+        ? getParameterValue(configKey, requestKey, defaultValue)
+        : ((configSamplingParams?.[configKey] as T | undefined) ??
+          defaultValue);
 
       return value !== undefined ? { [key]: value } : {};
     };
 
-    const params: Record<string, unknown> = {
+    const params = {
       // Parameters with request fallback but no defaults
       ...addParameterIfDefined('temperature', 'temperature', 'temperature'),
       ...addParameterIfDefined('top_p', 'top_p', 'topP'),
@@ -298,36 +323,15 @@ export class ContentGenerationPipeline {
       ...addParameterIfDefined('max_tokens', 'max_tokens', 'maxOutputTokens'),
 
       // Config-only parameters (no request fallback)
-      ...addParameterIfDefined('top_k', 'top_k', 'topK'),
+      ...addParameterIfDefined('top_k', 'top_k'),
       ...addParameterIfDefined('repetition_penalty', 'repetition_penalty'),
-      ...addParameterIfDefined(
-        'presence_penalty',
-        'presence_penalty',
-        'presencePenalty',
-      ),
-      ...addParameterIfDefined(
-        'frequency_penalty',
-        'frequency_penalty',
-        'frequencyPenalty',
-      ),
-      ...this.buildReasoningConfig(),
+      ...addParameterIfDefined('presence_penalty', 'presence_penalty'),
+      ...addParameterIfDefined('frequency_penalty', 'frequency_penalty'),
     };
 
     return params;
   }
 
-  private buildReasoningConfig(): Record<string, unknown> {
-    const reasoning = this.contentGeneratorConfig.reasoning;
-
-    if (reasoning === false) {
-      return {};
-    }
-
-    return {
-      reasoning_effort: reasoning?.effort ?? 'medium',
-    };
-  }
-
   /**
    * Common error handling wrapper for execute methods
    */
@@ -355,7 +359,13 @@ export class ContentGenerationPipeline {
       return result;
     } catch (error) {
       // Use shared error handling logic
-      return await this.handleError(error, context, request);
+      return await this.handleError(
+        error,
+        context,
+        request,
+        userPromptId,
+        isStreaming,
+      );
     }
   }
 
@@ -367,8 +377,37 @@ export class ContentGenerationPipeline {
     error: unknown,
     context: RequestContext,
     request: GenerateContentParameters,
+    userPromptId?: string,
+    isStreaming?: boolean,
   ): Promise<never> {
     context.duration = Date.now() - context.startTime;
+
+    // Build request for logging (may fail, but we still want to log the error)
+    let openaiRequest: OpenAI.Chat.ChatCompletionCreateParams;
+    try {
+      if (userPromptId !== undefined && isStreaming !== undefined) {
+        openaiRequest = await this.buildRequest(
+          request,
+          userPromptId,
+          isStreaming,
+        );
+      } else {
+        // For processStreamWithLogging, we don't have userPromptId/isStreaming,
+        // so create a minimal request
+        openaiRequest = {
+          model: this.contentGeneratorConfig.model,
+          messages: [],
+        };
+      }
+    } catch (_buildError) {
+      // If we can't build the request, create a minimal one for logging
+      openaiRequest = {
+        model: this.contentGeneratorConfig.model,
+        messages: [],
+      };
+    }
+
+    await this.config.telemetryService.logError(context, error, openaiRequest);
     this.config.errorHandler.handle(error, context, request);
   }
 

packages/core/src/core/openaiContentGenerator/provider/dashscope.ts

@@ -1,5 +1,4 @@
 import OpenAI from 'openai';
-import type { GenerateContentConfig } from '@google/genai';
 import type { Config } from '../../../config/config.js';
 import type { ContentGeneratorConfig } from '../../contentGenerator.js';
 import { AuthType } from '../../contentGenerator.js';
@@ -39,8 +38,7 @@ export class DashScopeOpenAICompatibleProvider
     return (
       authType === AuthType.QWEN_OAUTH ||
       baseUrl === 'https://dashscope.aliyuncs.com/compatible-mode/v1' ||
-      baseUrl === 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1' ||
-      !baseUrl
+      baseUrl === 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1'
     );
   }
 
@@ -143,12 +141,6 @@ export class DashScopeOpenAICompatibleProvider
     };
   }
 
-  getDefaultGenerationConfig(): GenerateContentConfig {
-    return {
-      temperature: 0.3,
-    };
-  }
-
   /**
    * Add cache control flag to specified message(s) for DashScope providers
    */

packages/core/src/core/openaiContentGenerator/provider/deepseek.ts

@@ -8,7 +8,6 @@ import type OpenAI from 'openai';
 import type { Config } from '../../../config/config.js';
 import type { ContentGeneratorConfig } from '../../contentGenerator.js';
 import { DefaultOpenAICompatibleProvider } from './default.js';
-import type { GenerateContentConfig } from '@google/genai';
 
 export class DeepSeekOpenAICompatibleProvider extends DefaultOpenAICompatibleProvider {
   constructor(
@@ -77,10 +76,4 @@ export class DeepSeekOpenAICompatibleProvider extends DefaultOpenAICompatiblePro
       messages,
     };
   }
-
-  override getDefaultGenerationConfig(): GenerateContentConfig {
-    return {
-      temperature: 0,
-    };
-  }
 }

packages/core/src/core/openaiContentGenerator/provider/default.ts

@@ -1,5 +1,4 @@
 import OpenAI from 'openai';
-import type { GenerateContentConfig } from '@google/genai';
 import type { Config } from '../../../config/config.js';
 import type { ContentGeneratorConfig } from '../../contentGenerator.js';
 import { DEFAULT_TIMEOUT, DEFAULT_MAX_RETRIES } from '../constants.js';
@@ -56,10 +55,4 @@ export class DefaultOpenAICompatibleProvider
       ...request, // Preserve all original parameters including sampling params
     };
   }
-
-  getDefaultGenerationConfig(): GenerateContentConfig {
-    return {
-      topP: 0.95,
-    };
-  }
 }

packages/core/src/core/openaiContentGenerator/provider/types.ts

@@ -1,4 +1,3 @@
-import type { GenerateContentConfig } from '@google/genai';
 import type OpenAI from 'openai';
 
 // Extended types to support cache_control for DashScope
@@ -23,7 +22,6 @@ export interface OpenAICompatibleProvider {
     request: OpenAI.Chat.ChatCompletionCreateParams,
     userPromptId: string,
   ): OpenAI.Chat.ChatCompletionCreateParams;
-  getDefaultGenerationConfig(): GenerateContentConfig;
 }
 
 export type DashScopeRequestMetadata = {

packages/core/src/core/openaiContentGenerator/telemetryService.ts

@@ -0,0 +1,275 @@
+/**
+ * @license
+ * Copyright 2025 Qwen
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type { Config } from '../../config/config.js';
+import { logApiError, logApiResponse } from '../../telemetry/loggers.js';
+import { ApiErrorEvent, ApiResponseEvent } from '../../telemetry/types.js';
+import { OpenAILogger } from '../../utils/openaiLogger.js';
+import type { GenerateContentResponse } from '@google/genai';
+import type OpenAI from 'openai';
+import type { ExtendedCompletionChunkDelta } from './converter.js';
+
+export interface RequestContext {
+  userPromptId: string;
+  model: string;
+  authType: string;
+  startTime: number;
+  duration: number;
+  isStreaming: boolean;
+}
+
+export interface TelemetryService {
+  logSuccess(
+    context: RequestContext,
+    response: GenerateContentResponse,
+    openaiRequest?: OpenAI.Chat.ChatCompletionCreateParams,
+    openaiResponse?: OpenAI.Chat.ChatCompletion,
+  ): Promise<void>;
+
+  logError(
+    context: RequestContext,
+    error: unknown,
+    openaiRequest?: OpenAI.Chat.ChatCompletionCreateParams,
+  ): Promise<void>;
+
+  logStreamingSuccess(
+    context: RequestContext,
+    responses: GenerateContentResponse[],
+    openaiRequest?: OpenAI.Chat.ChatCompletionCreateParams,
+    openaiChunks?: OpenAI.Chat.ChatCompletionChunk[],
+  ): Promise<void>;
+}
+
+export class DefaultTelemetryService implements TelemetryService {
+  private logger: OpenAILogger;
+
+  constructor(
+    private config: Config,
+    private enableOpenAILogging: boolean = false,
+    openAILoggingDir?: string,
+  ) {
+    // Always create a new logger instance to ensure correct working directory
+    // If no custom directory is provided, undefined will use the default path
+    this.logger = new OpenAILogger(openAILoggingDir);
+  }
+
+  async logSuccess(
+    context: RequestContext,
+    response: GenerateContentResponse,
+    openaiRequest?: OpenAI.Chat.ChatCompletionCreateParams,
+    openaiResponse?: OpenAI.Chat.ChatCompletion,
+  ): Promise<void> {
+    // Log API response event for UI telemetry
+    const responseEvent = new ApiResponseEvent(
+      response.responseId || 'unknown',
+      context.model,
+      context.duration,
+      context.userPromptId,
+      context.authType,
+      response.usageMetadata,
+    );
+
+    logApiResponse(this.config, responseEvent);
+
+    // Log interaction if enabled
+    if (this.enableOpenAILogging && openaiRequest && openaiResponse) {
+      await this.logger.logInteraction(openaiRequest, openaiResponse);
+    }
+  }
+
+  async logError(
+    context: RequestContext,
+    error: unknown,
+    openaiRequest?: OpenAI.Chat.ChatCompletionCreateParams,
+  ): Promise<void> {
+    const errorMessage = error instanceof Error ? error.message : String(error);
+
+    // Log API error event for UI telemetry
+    const errorEvent = new ApiErrorEvent(
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (error as any)?.requestID || 'unknown',
+      context.model,
+      errorMessage,
+      context.duration,
+      context.userPromptId,
+      context.authType,
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (error as any)?.type,
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (error as any)?.code,
+    );
+    logApiError(this.config, errorEvent);
+
+    // Log error interaction if enabled
+    if (this.enableOpenAILogging && openaiRequest) {
+      await this.logger.logInteraction(
+        openaiRequest,
+        undefined,
+        error as Error,
+      );
+    }
+  }
+
+  async logStreamingSuccess(
+    context: RequestContext,
+    responses: GenerateContentResponse[],
+    openaiRequest?: OpenAI.Chat.ChatCompletionCreateParams,
+    openaiChunks?: OpenAI.Chat.ChatCompletionChunk[],
+  ): Promise<void> {
+    // Get final usage metadata from the last response that has it
+    const finalUsageMetadata = responses
+      .slice()
+      .reverse()
+      .find((r) => r.usageMetadata)?.usageMetadata;
+
+    // Log API response event for UI telemetry
+    const responseEvent = new ApiResponseEvent(
+      responses[responses.length - 1]?.responseId || 'unknown',
+      context.model,
+      context.duration,
+      context.userPromptId,
+      context.authType,
+      finalUsageMetadata,
+    );
+
+    logApiResponse(this.config, responseEvent);
+
+    // Log interaction if enabled - combine chunks only when needed
+    if (
+      this.enableOpenAILogging &&
+      openaiRequest &&
+      openaiChunks &&
+      openaiChunks.length > 0
+    ) {
+      const combinedResponse = this.combineOpenAIChunksForLogging(openaiChunks);
+      await this.logger.logInteraction(openaiRequest, combinedResponse);
+    }
+  }
+
+  /**
+   * Combine OpenAI chunks for logging purposes
+   * This method consolidates all OpenAI stream chunks into a single ChatCompletion response
+   * for telemetry and logging purposes, avoiding unnecessary format conversions
+   */
+  private combineOpenAIChunksForLogging(
+    chunks: OpenAI.Chat.ChatCompletionChunk[],
+  ): OpenAI.Chat.ChatCompletion {
+    if (chunks.length === 0) {
+      throw new Error('No chunks to combine');
+    }
+
+    const firstChunk = chunks[0];
+
+    // Combine all content from chunks
+    let combinedContent = '';
+    const toolCalls: OpenAI.Chat.ChatCompletionMessageToolCall[] = [];
+    let finishReason:
+      | 'stop'
+      | 'length'
+      | 'tool_calls'
+      | 'content_filter'
+      | 'function_call'
+      | null = null;
+    let combinedReasoning = '';
+    let usage:
+      | {
+          prompt_tokens: number;
+          completion_tokens: number;
+          total_tokens: number;
+        }
+      | undefined;
+
+    for (const chunk of chunks) {
+      const choice = chunk.choices?.[0];
+      if (choice) {
+        // Combine reasoning content
+        const reasoningContent = (choice.delta as ExtendedCompletionChunkDelta)
+          ?.reasoning_content;
+        if (reasoningContent) {
+          combinedReasoning += reasoningContent;
+        }
+        // Combine text content
+        if (choice.delta?.content) {
+          combinedContent += choice.delta.content;
+        }
+
+        // Collect tool calls
+        if (choice.delta?.tool_calls) {
+          for (const toolCall of choice.delta.tool_calls) {
+            if (toolCall.index !== undefined) {
+              if (!toolCalls[toolCall.index]) {
+                toolCalls[toolCall.index] = {
+                  id: toolCall.id || '',
+                  type: toolCall.type || 'function',
+                  function: { name: '', arguments: '' },
+                };
+              }
+
+              if (toolCall.function?.name) {
+                toolCalls[toolCall.index].function.name +=
+                  toolCall.function.name;
+              }
+              if (toolCall.function?.arguments) {
+                toolCalls[toolCall.index].function.arguments +=
+                  toolCall.function.arguments;
+              }
+            }
+          }
+        }
+
+        // Get finish reason from the last chunk
+        if (choice.finish_reason) {
+          finishReason = choice.finish_reason;
+        }
+      }
+
+      // Get usage from the last chunk that has it
+      if (chunk.usage) {
+        usage = chunk.usage;
+      }
+    }
+
+    // Create the combined ChatCompletion response
+    const message: OpenAI.Chat.ChatCompletionMessage = {
+      role: 'assistant',
+      content: combinedContent || null,
+      refusal: null,
+    };
+    if (combinedReasoning) {
+      // Attach reasoning content if any thought tokens were streamed
+      (message as { reasoning_content?: string }).reasoning_content =
+        combinedReasoning;
+    }
+
+    // Add tool calls if any
+    if (toolCalls.length > 0) {
+      message.tool_calls = toolCalls.filter((tc) => tc.id); // Filter out empty tool calls
+    }
+
+    const combinedResponse: OpenAI.Chat.ChatCompletion = {
+      id: firstChunk.id,
+      object: 'chat.completion',
+      created: firstChunk.created,
+      model: firstChunk.model,
+      choices: [
+        {
+          index: 0,
+          message,
+          finish_reason: finishReason || 'stop',
+          logprobs: null,
+        },
+      ],
+      usage: usage || {
+        prompt_tokens: 0,
+        completion_tokens: 0,
+        total_tokens: 0,
+      },
+      system_fingerprint: firstChunk.system_fingerprint,
+    };
+
+    return combinedResponse;
+  }
+}

packages/core/src/core/turn.test.ts

@@ -36,6 +36,13 @@ vi.mock('../utils/errorReporting', () => ({
   reportError: vi.fn(),
 }));
 
+// Use the actual implementation from partUtils now that it's provided.
+vi.mock('../utils/generateContentResponseUtilities', () => ({
+  getResponseText: (resp: GenerateContentResponse) =>
+    resp.candidates?.[0]?.content?.parts?.map((part) => part.text).join('') ||
+    undefined,
+}));
+
 describe('Turn', () => {
   let turn: Turn;
   // Define a type for the mocked Chat instance for clarity
@@ -149,7 +156,6 @@ describe('Turn', () => {
           type: GeminiEventType.Thought,
           value: { subject: '', description: 'reasoning...' },
         },
-        { type: GeminiEventType.Content, value: 'final answer' },
       ]);
     });
 

packages/core/src/core/turn.ts

@@ -27,11 +27,7 @@ import {
   toFriendlyError,
 } from '../utils/errors.js';
 import type { GeminiChat } from './geminiChat.js';
-import {
-  getThoughtText,
-  parseThought,
-  type ThoughtSummary,
-} from '../utils/thoughtUtils.js';
+import { getThoughtText, type ThoughtSummary } from '../utils/thoughtUtils.js';
 
 // Define a structure for tools passed to the server
 export interface ServerTool {
@@ -270,12 +266,13 @@ export class Turn {
           this.currentResponseId = resp.responseId;
         }
 
-        const thoughtText = getThoughtText(resp);
-        if (thoughtText) {
+        const thoughtPart = getThoughtText(resp);
+        if (thoughtPart) {
           yield {
             type: GeminiEventType.Thought,
-            value: parseThought(thoughtText),
+            value: { subject: '', description: thoughtPart },
           };
+          continue;
         }
 
         const text = getResponseText(resp);