Files
qwen-code/packages/core/src/core/geminiChat.ts
2025-06-11 15:33:09 -04:00

427 lines
14 KiB
TypeScript

/**
* @license
* Copyright 2025 Google LLC
* SPDX-License-Identifier: Apache-2.0
*/
// DISCLAIMER: This is a copied version of https://github.com/googleapis/js-genai/blob/main/src/chats.ts with the intention of working around a key bug
// where function responses are not treated as "valid" responses: https://b.corp.google.com/issues/420354090
import {
GenerateContentResponse,
Content,
GenerateContentConfig,
SendMessageParameters,
createUserContent,
Part,
} from '@google/genai';
import { retryWithBackoff } from '../utils/retry.js';
import { isFunctionResponse } from '../utils/messageInspectors.js';
import { ContentGenerator } from './contentGenerator.js';
import { Config } from '../config/config.js';
/**
* Returns true if the response is valid, false otherwise.
*/
function isValidResponse(response: GenerateContentResponse): boolean {
if (response.candidates === undefined || response.candidates.length === 0) {
return false;
}
const content = response.candidates[0]?.content;
if (content === undefined) {
return false;
}
return isValidContent(content);
}
function isValidContent(content: Content): boolean {
if (content.parts === undefined || content.parts.length === 0) {
return false;
}
for (const part of content.parts) {
if (part === undefined || Object.keys(part).length === 0) {
return false;
}
if (!part.thought && part.text !== undefined && part.text === '') {
return false;
}
}
return true;
}
/**
* Validates the history contains the correct roles.
*
* @throws Error if the history does not start with a user turn.
* @throws Error if the history contains an invalid role.
*/
function validateHistory(history: Content[]) {
// Empty history is valid.
if (history.length === 0) {
return;
}
for (const content of history) {
if (content.role !== 'user' && content.role !== 'model') {
throw new Error(`Role must be user or model, but got ${content.role}.`);
}
}
}
/**
* Extracts the curated (valid) history from a comprehensive history.
*
* @remarks
* The model may sometimes generate invalid or empty contents(e.g., due to safty
* filters or recitation). Extracting valid turns from the history
* ensures that subsequent requests could be accpeted by the model.
*/
function extractCuratedHistory(comprehensiveHistory: Content[]): Content[] {
if (comprehensiveHistory === undefined || comprehensiveHistory.length === 0) {
return [];
}
const curatedHistory: Content[] = [];
const length = comprehensiveHistory.length;
let i = 0;
while (i < length) {
if (comprehensiveHistory[i].role === 'user') {
curatedHistory.push(comprehensiveHistory[i]);
i++;
} else {
const modelOutput: Content[] = [];
let isValid = true;
while (i < length && comprehensiveHistory[i].role === 'model') {
modelOutput.push(comprehensiveHistory[i]);
if (isValid && !isValidContent(comprehensiveHistory[i])) {
isValid = false;
}
i++;
}
if (isValid) {
curatedHistory.push(...modelOutput);
} else {
// Remove the last user input when model content is invalid.
curatedHistory.pop();
}
}
}
return curatedHistory;
}
/**
* Chat session that enables sending messages to the model with previous
* conversation context.
*
* @remarks
* The session maintains all the turns between user and model.
*/
export class GeminiChat {
// A promise to represent the current state of the message being sent to the
// model.
private sendPromise: Promise<void> = Promise.resolve();
constructor(
private readonly config: Config,
private readonly contentGenerator: ContentGenerator,
private readonly model: string,
private readonly generationConfig: GenerateContentConfig = {},
private history: Content[] = [],
) {
validateHistory(history);
}
/**
* Sends a message to the model and returns the response.
*
* @remarks
* This method will wait for the previous message to be processed before
* sending the next message.
*
* @see {@link Chat#sendMessageStream} for streaming method.
* @param params - parameters for sending messages within a chat session.
* @returns The model's response.
*
* @example
* ```ts
* const chat = ai.chats.create({model: 'gemini-2.0-flash'});
* const response = await chat.sendMessage({
* message: 'Why is the sky blue?'
* });
* console.log(response.text);
* ```
*/
async sendMessage(
params: SendMessageParameters,
): Promise<GenerateContentResponse> {
await this.sendPromise;
const userContent = createUserContent(params.message);
const apiCall = () =>
this.contentGenerator.generateContent({
model: this.model,
contents: this.getHistory(true).concat(userContent),
config: { ...this.generationConfig, ...params.config },
});
const responsePromise = retryWithBackoff(apiCall);
this.sendPromise = (async () => {
const response = await responsePromise;
const outputContent = response.candidates?.[0]?.content;
// Because the AFC input contains the entire curated chat history in
// addition to the new user input, we need to truncate the AFC history
// to deduplicate the existing chat history.
const fullAutomaticFunctionCallingHistory =
response.automaticFunctionCallingHistory;
const index = this.getHistory(true).length;
let automaticFunctionCallingHistory: Content[] = [];
if (fullAutomaticFunctionCallingHistory != null) {
automaticFunctionCallingHistory =
fullAutomaticFunctionCallingHistory.slice(index) ?? [];
}
const modelOutput = outputContent ? [outputContent] : [];
this.recordHistory(
userContent,
modelOutput,
automaticFunctionCallingHistory,
);
return;
})();
await this.sendPromise.catch(() => {
// Resets sendPromise to avoid subsequent calls failing
this.sendPromise = Promise.resolve();
});
return responsePromise;
}
/**
* Sends a message to the model and returns the response in chunks.
*
* @remarks
* This method will wait for the previous message to be processed before
* sending the next message.
*
* @see {@link Chat#sendMessage} for non-streaming method.
* @param params - parameters for sending the message.
* @return The model's response.
*
* @example
* ```ts
* const chat = ai.chats.create({model: 'gemini-2.0-flash'});
* const response = await chat.sendMessageStream({
* message: 'Why is the sky blue?'
* });
* for await (const chunk of response) {
* console.log(chunk.text);
* }
* ```
*/
async sendMessageStream(
params: SendMessageParameters,
): Promise<AsyncGenerator<GenerateContentResponse>> {
await this.sendPromise;
const userContent = createUserContent(params.message);
const apiCall = () =>
this.contentGenerator.generateContentStream({
model: this.model,
contents: this.getHistory(true).concat(userContent),
config: { ...this.generationConfig, ...params.config },
});
// Note: Retrying streams can be complex. If generateContentStream itself doesn't handle retries
// for transient issues internally before yielding the async generator, this retry will re-initiate
// the stream. For simple 429/500 errors on initial call, this is fine.
// If errors occur mid-stream, this setup won't resume the stream; it will restart it.
const streamResponse = await retryWithBackoff(apiCall, {
shouldRetry: (error: Error) => {
// Check error messages for status codes, or specific error names if known
if (error && error.message) {
if (error.message.includes('429')) return true;
if (error.message.match(/5\d{2}/)) return true;
}
return false; // Don't retry other errors by default
},
});
// Resolve the internal tracking of send completion promise - `sendPromise`
// for both success and failure response. The actual failure is still
// propagated by the `await streamResponse`.
this.sendPromise = Promise.resolve(streamResponse)
.then(() => undefined)
.catch(() => undefined);
const result = this.processStreamResponse(streamResponse, userContent);
return result;
}
/**
* Returns the chat history.
*
* @remarks
* The history is a list of contents alternating between user and model.
*
* There are two types of history:
* - The `curated history` contains only the valid turns between user and
* model, which will be included in the subsequent requests sent to the model.
* - The `comprehensive history` contains all turns, including invalid or
* empty model outputs, providing a complete record of the history.
*
* The history is updated after receiving the response from the model,
* for streaming response, it means receiving the last chunk of the response.
*
* The `comprehensive history` is returned by default. To get the `curated
* history`, set the `curated` parameter to `true`.
*
* @param curated - whether to return the curated history or the comprehensive
* history.
* @return History contents alternating between user and model for the entire
* chat session.
*/
getHistory(curated: boolean = false): Content[] {
const history = curated
? extractCuratedHistory(this.history)
: this.history;
// Deep copy the history to avoid mutating the history outside of the
// chat session.
return structuredClone(history);
}
/**
* Adds a new entry to the chat history.
*
* @param content - The content to add to the history.
*/
addHistory(content: Content): void {
this.history.push(content);
}
setHistory(history: Content[]): void {
this.history = history;
}
private async *processStreamResponse(
streamResponse: AsyncGenerator<GenerateContentResponse>,
inputContent: Content,
) {
const outputContent: Content[] = [];
for await (const chunk of streamResponse) {
if (isValidResponse(chunk)) {
const content = chunk.candidates?.[0]?.content;
if (content !== undefined) {
outputContent.push(content);
}
}
yield chunk;
}
this.recordHistory(inputContent, outputContent);
}
private recordHistory(
userInput: Content,
modelOutput: Content[],
automaticFunctionCallingHistory?: Content[],
) {
let outputContents: Content[] = [];
if (
modelOutput.length > 0 &&
modelOutput.every((content) => content.role !== undefined)
) {
outputContents = modelOutput;
} else {
// When not a function response appends an empty content when model returns empty response, so that the
// history is always alternating between user and model.
// Workaround for: https://b.corp.google.com/issues/420354090
if (!isFunctionResponse(userInput)) {
outputContents.push({
role: 'model',
parts: [],
} as Content);
}
}
if (
automaticFunctionCallingHistory &&
automaticFunctionCallingHistory.length > 0
) {
this.history.push(
...extractCuratedHistory(automaticFunctionCallingHistory!),
);
} else {
this.history.push(userInput);
}
// Consolidate adjacent model roles in outputContents
const consolidatedOutputContents: Content[] = [];
for (const content of outputContents) {
if (this.isThoughtContent(content)) {
continue;
}
const lastContent =
consolidatedOutputContents[consolidatedOutputContents.length - 1];
if (this.isTextContent(lastContent) && this.isTextContent(content)) {
// If both current and last are text, combine their text into the lastContent's first part
// and append any other parts from the current content.
lastContent.parts[0].text += content.parts[0].text || '';
if (content.parts.length > 1) {
lastContent.parts.push(...content.parts.slice(1));
}
} else {
consolidatedOutputContents.push(content);
}
}
if (consolidatedOutputContents.length > 0) {
const lastHistoryEntry = this.history[this.history.length - 1];
const canMergeWithLastHistory =
!automaticFunctionCallingHistory ||
automaticFunctionCallingHistory.length === 0;
if (
canMergeWithLastHistory &&
this.isTextContent(lastHistoryEntry) &&
this.isTextContent(consolidatedOutputContents[0])
) {
// If both current and last are text, combine their text into the lastHistoryEntry's first part
// and append any other parts from the current content.
lastHistoryEntry.parts[0].text +=
consolidatedOutputContents[0].parts[0].text || '';
if (consolidatedOutputContents[0].parts.length > 1) {
lastHistoryEntry.parts.push(
...consolidatedOutputContents[0].parts.slice(1),
);
}
consolidatedOutputContents.shift(); // Remove the first element as it's merged
}
this.history.push(...consolidatedOutputContents);
}
}
private isTextContent(
content: Content | undefined,
): content is Content & { parts: [{ text: string }, ...Part[]] } {
return !!(
content &&
content.role === 'model' &&
content.parts &&
content.parts.length > 0 &&
typeof content.parts[0].text === 'string' &&
content.parts[0].text !== ''
);
}
private isThoughtContent(
content: Content | undefined,
): content is Content & { parts: [{ thought: boolean }, ...Part[]] } {
return !!(
content &&
content.role === 'model' &&
content.parts &&
content.parts.length > 0 &&
typeof content.parts[0].thought === 'boolean' &&
content.parts[0].thought === true
);
}
}