502 lines
17 KiB
TypeScript
502 lines
17 KiB
TypeScript
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import {
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buildChatToolSystemPrompt,
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executeToolCallAndBuildEvent,
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getEnabledChatTools,
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getUnstreamedText,
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looksLikeDanglingToolIntent,
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MAX_DANGLING_TOOL_INTENT_RETRIES,
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MAX_TOOL_ROUNDS,
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prepareToolCallExecution,
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type NormalizedToolCall,
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type ToolAwareCompletionParams,
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type ToolAwareCompletionResult,
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type ToolAwareStreamingEvent,
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type ToolAwareUsage,
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type ToolExecutionEvent,
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} from "../chat-tools.js";
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import {
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buildImageSummaryText,
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buildTextAttachmentPrompt,
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buildTopLevelSystemPrompt,
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getImageAttachments,
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getTextAttachments,
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parseImageDataUrl,
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} from "../message-content.js";
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import type { ChatMessage } from "../types.js";
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type GeminiClient = {
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apiKey: string;
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baseURL: string;
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};
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const INTERNAL_CORRECTION =
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"Internal correction: the previous assistant message claimed it would run a tool, but no tool call was made. If the task needs an available tool, call it now. Otherwise provide the final answer directly without saying you will run a tool.";
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function normalizeModelResourceName(model: string) {
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const trimmed = model.trim().replace(/^\/+/, "");
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return trimmed.startsWith("models/") || trimmed.startsWith("tunedModels/") ? trimmed : `models/${trimmed}`;
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}
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function geminiUrl(client: GeminiClient, model: string, method: "generateContent" | "streamGenerateContent", extraParams: Record<string, string> = {}) {
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const url = new URL(`${client.baseURL.replace(/\/+$/, "")}/${normalizeModelResourceName(model)}:${method}`);
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url.searchParams.set("key", client.apiKey);
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for (const [key, value] of Object.entries(extraParams)) {
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url.searchParams.set(key, value);
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}
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return url;
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}
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function generationConfig(params: Pick<ToolAwareCompletionParams, "temperature" | "maxTokens">) {
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const config: Record<string, unknown> = {};
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if (params.temperature !== undefined) config.temperature = params.temperature;
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if (params.maxTokens !== undefined) config.maxOutputTokens = params.maxTokens;
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return Object.keys(config).length ? config : undefined;
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}
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function toGeminiJsonSchema(schema: unknown): Record<string, unknown> | undefined {
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if (!schema || typeof schema !== "object" || Array.isArray(schema)) return undefined;
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const input = schema as Record<string, unknown>;
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const output: Record<string, unknown> = {};
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if (typeof input.type === "string") output.type = input.type;
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if (typeof input.description === "string") output.description = input.description;
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if (typeof input.format === "string") output.format = input.format;
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if (typeof input.nullable === "boolean") output.nullable = input.nullable;
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if (Array.isArray(input.enum)) output.enum = input.enum.filter((value) => typeof value === "string");
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if (Array.isArray(input.required)) output.required = input.required.filter((value) => typeof value === "string");
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const items = toGeminiJsonSchema(input.items);
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if (items) output.items = items;
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if (input.properties && typeof input.properties === "object" && !Array.isArray(input.properties)) {
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const properties: Record<string, unknown> = {};
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for (const [key, value] of Object.entries(input.properties)) {
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const propertySchema = toGeminiJsonSchema(value);
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if (propertySchema) properties[key] = propertySchema;
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}
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if (Object.keys(properties).length) output.properties = properties;
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}
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return Object.keys(output).length ? output : undefined;
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}
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function toGeminiTools(tools: any[]) {
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const functionDeclarations = tools
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.map((tool) => {
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if (tool?.type !== "function") return null;
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const declaration: Record<string, unknown> = {
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name: tool.function.name,
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description: tool.function.description,
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};
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const parameters = toGeminiJsonSchema(tool.function.parameters);
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if (parameters) declaration.parameters = parameters;
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return declaration;
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})
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.filter(Boolean);
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return functionDeclarations.length ? [{ functionDeclarations }] : undefined;
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}
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function toContentParts(message: ChatMessage) {
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const imageAttachments = getImageAttachments(message);
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const textAttachments = getTextAttachments(message);
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const parts: Array<Record<string, unknown>> = [];
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for (const attachment of imageAttachments) {
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const source = parseImageDataUrl(attachment);
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parts.push({
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inlineData: {
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mimeType: source.mediaType,
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data: source.data,
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},
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});
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}
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const imageSummary = buildImageSummaryText(imageAttachments);
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if (imageSummary) {
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parts.push({ text: imageSummary });
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}
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for (const attachment of textAttachments) {
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parts.push({ text: buildTextAttachmentPrompt(attachment) });
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}
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if (message.content.trim()) {
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parts.push({ text: message.content });
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}
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return parts.length ? parts : [{ text: "" }];
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}
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function buildConversationContent(message: ChatMessage) {
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if (message.role === "system") {
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throw new Error("System messages must be handled separately for Gemini.");
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}
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if (message.role === "tool") {
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const name = message.name?.trim() || "tool";
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return {
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role: "user",
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parts: [{ text: `Tool output (${name}):\n${message.content}` }],
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};
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}
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return {
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role: message.role === "assistant" ? "model" : "user",
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parts: toContentParts(message),
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};
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}
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function buildBaseContents(messages: ChatMessage[]) {
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return messages.filter((message) => message.role !== "system").map((message) => buildConversationContent(message));
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}
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function buildSystemInstruction(params: ToolAwareCompletionParams, toolSystemPrompt?: string) {
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const text = buildTopLevelSystemPrompt(params.messages, params.userLocation, toolSystemPrompt);
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return text ? { parts: [{ text }] } : undefined;
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}
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function mergeUsage(acc: Required<ToolAwareUsage>, usage: any) {
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const normalized = normalizeUsage(usage);
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if (!normalized) return false;
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acc.inputTokens += normalized.inputTokens;
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acc.outputTokens += normalized.outputTokens;
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acc.totalTokens += normalized.totalTokens;
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return true;
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}
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function normalizeUsage(usage: any) {
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if (!usage) return null;
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const inputTokens = usage.promptTokenCount ?? 0;
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const outputTokens = usage.candidatesTokenCount ?? 0;
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const totalTokens = usage.totalTokenCount ?? inputTokens + outputTokens;
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return { inputTokens, outputTokens, totalTokens };
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}
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function getCandidate(response: any) {
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return Array.isArray(response?.candidates) ? response.candidates[0] : null;
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}
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function getParts(response: any) {
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const parts = getCandidate(response)?.content?.parts;
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return Array.isArray(parts) ? parts : [];
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}
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function extractText(response: any) {
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return getParts(response)
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.map((part: any) => (typeof part?.text === "string" ? part.text : ""))
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.join("");
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}
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function stringifyToolArgs(args: unknown) {
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try {
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return JSON.stringify(args ?? {});
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} catch {
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return "{}";
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}
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}
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function normalizeToolCallsFromParts(parts: any[], round: number): NormalizedToolCall[] {
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return parts
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.filter((part) => part?.functionCall)
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.map((part, index) => ({
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id: part.functionCall.id ?? `tool_call_${round}_${index}`,
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name: part.functionCall.name ?? "unknown_tool",
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arguments: stringifyToolArgs(part.functionCall.args),
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}));
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}
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function buildFunctionResponsePart(call: NormalizedToolCall, toolResult: unknown) {
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return {
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functionResponse: {
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id: call.id,
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name: call.name,
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response: toolResult,
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},
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};
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}
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function appendCorrection(conversation: any[], text: string) {
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conversation.push({ role: "model", parts: [{ text }] });
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conversation.push({ role: "user", parts: [{ text: INTERNAL_CORRECTION }] });
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}
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async function parseGeminiResponse(response: Response) {
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const bodyText = await response.text();
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let body: any = null;
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try {
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body = bodyText ? JSON.parse(bodyText) : null;
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} catch {
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body = { raw: bodyText };
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}
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if (!response.ok) {
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throw new Error(body?.error?.message ?? `Gemini API request failed with status ${response.status}.`);
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}
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return body;
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}
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async function generateContent(params: ToolAwareCompletionParams, body: Record<string, unknown>) {
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const response = await fetch(geminiUrl(params.client, params.model, "generateContent"), {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify(body),
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});
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return parseGeminiResponse(response);
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}
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function getFailureMessage(response: any, text: string, toolCallCount: number) {
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const promptBlockReason = response?.promptFeedback?.blockReason;
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if (promptBlockReason) return `Gemini prompt blocked: ${promptBlockReason}.`;
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const candidate = getCandidate(response);
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const finishReason = candidate?.finishReason;
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if (!finishReason || finishReason === "STOP" || finishReason === "MAX_TOKENS") return null;
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if (text || toolCallCount > 0) return null;
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return candidate?.finishMessage ?? `Gemini response stopped: ${finishReason}.`;
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}
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function buildRequest(params: ToolAwareCompletionParams, conversation: any[], enabledTools: any[] = []) {
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const tools = toGeminiTools(enabledTools);
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return {
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contents: conversation,
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systemInstruction: buildSystemInstruction(params, enabledTools.length ? buildChatToolSystemPrompt(params) : undefined),
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generationConfig: generationConfig(params),
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tools,
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toolConfig: tools ? { functionCallingConfig: { mode: "AUTO" } } : undefined,
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};
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}
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export async function completeWithGeminiApi(params: ToolAwareCompletionParams): Promise<ToolAwareCompletionResult> {
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const enabledTools = getEnabledChatTools(params);
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const conversation = buildBaseContents(params.messages);
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const rawResponses: unknown[] = [];
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const toolEvents: ToolExecutionEvent[] = [];
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const usageAcc: Required<ToolAwareUsage> = { inputTokens: 0, outputTokens: 0, totalTokens: 0 };
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let sawUsage = false;
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let totalToolCalls = 0;
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let danglingToolIntentRetries = 0;
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for (let round = 0; round < MAX_TOOL_ROUNDS; round += 1) {
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const response = await generateContent(params, buildRequest(params, conversation, enabledTools));
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rawResponses.push(response);
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sawUsage = mergeUsage(usageAcc, response?.usageMetadata) || sawUsage;
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const parts = getParts(response);
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const text = extractText(response);
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const normalizedToolCalls = normalizeToolCallsFromParts(parts, round);
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const failureMessage = getFailureMessage(response, text, normalizedToolCalls.length);
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if (failureMessage) throw new Error(failureMessage);
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if (!normalizedToolCalls.length) {
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if (danglingToolIntentRetries < MAX_DANGLING_TOOL_INTENT_RETRIES && looksLikeDanglingToolIntent(text)) {
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danglingToolIntentRetries += 1;
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appendCorrection(conversation, text);
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continue;
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}
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return {
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text,
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usage: sawUsage ? usageAcc : undefined,
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raw: { responses: rawResponses, toolCallsUsed: totalToolCalls, api: "gemini.generateContent" },
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toolEvents,
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};
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}
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totalToolCalls += normalizedToolCalls.length;
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conversation.push({ role: "model", parts });
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const toolResultParts: any[] = [];
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for (const call of normalizedToolCalls) {
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const { execution } = prepareToolCallExecution(call);
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const { event, toolResult } = await executeToolCallAndBuildEvent(call, execution, params);
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toolEvents.push(event);
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toolResultParts.push(buildFunctionResponsePart(call, toolResult));
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}
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conversation.push({ role: "user", parts: toolResultParts });
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}
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return {
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text: "I reached the tool-call limit while gathering information. Please narrow the request and try again.",
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usage: sawUsage ? usageAcc : undefined,
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raw: { responses: rawResponses, toolCallsUsed: totalToolCalls, toolCallLimitReached: true, api: "gemini.generateContent" },
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toolEvents,
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};
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}
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function findSseBoundary(buffer: string) {
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const crlf = buffer.indexOf("\r\n\r\n");
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const lf = buffer.indexOf("\n\n");
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if (crlf === -1) return lf === -1 ? null : { index: lf, length: 2 };
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if (lf === -1) return { index: crlf, length: 4 };
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return crlf < lf ? { index: crlf, length: 4 } : { index: lf, length: 2 };
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}
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function parseSseEvent(rawEvent: string) {
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const data = rawEvent
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.split(/\r?\n/)
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.filter((line) => line.startsWith("data:"))
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.map((line) => line.slice("data:".length).trimStart())
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.join("\n")
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.trim();
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if (!data || data === "[DONE]") return null;
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return JSON.parse(data);
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}
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async function* streamGeminiResponses(params: ToolAwareCompletionParams, body: Record<string, unknown>) {
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const response = await fetch(geminiUrl(params.client, params.model, "streamGenerateContent", { alt: "sse" }), {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify(body),
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});
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if (!response.ok) {
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await parseGeminiResponse(response);
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return;
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}
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if (!response.body) {
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throw new Error("Gemini stream response did not include a body.");
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}
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const reader = response.body.getReader();
|
||
|
|
const decoder = new TextDecoder();
|
||
|
|
let buffer = "";
|
||
|
|
|
||
|
|
while (true) {
|
||
|
|
const { value, done } = await reader.read();
|
||
|
|
if (done) break;
|
||
|
|
buffer += decoder.decode(value, { stream: true });
|
||
|
|
let boundary = findSseBoundary(buffer);
|
||
|
|
while (boundary) {
|
||
|
|
const rawEvent = buffer.slice(0, boundary.index);
|
||
|
|
buffer = buffer.slice(boundary.index + boundary.length);
|
||
|
|
const event = parseSseEvent(rawEvent);
|
||
|
|
if (event) yield event;
|
||
|
|
boundary = findSseBoundary(buffer);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
buffer += decoder.decode();
|
||
|
|
const tail = buffer.trim();
|
||
|
|
if (tail) {
|
||
|
|
const event = parseSseEvent(tail);
|
||
|
|
if (event) yield event;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
export async function* streamWithGeminiApi(params: ToolAwareCompletionParams): AsyncGenerator<ToolAwareStreamingEvent> {
|
||
|
|
const enabledTools = getEnabledChatTools(params);
|
||
|
|
const conversation = buildBaseContents(params.messages);
|
||
|
|
const rawResponses: unknown[] = [];
|
||
|
|
const toolEvents: ToolExecutionEvent[] = [];
|
||
|
|
const usageAcc: Required<ToolAwareUsage> = { inputTokens: 0, outputTokens: 0, totalTokens: 0 };
|
||
|
|
let sawUsage = false;
|
||
|
|
let totalToolCalls = 0;
|
||
|
|
let danglingToolIntentRetries = 0;
|
||
|
|
|
||
|
|
if (!enabledTools.length) {
|
||
|
|
let text = "";
|
||
|
|
let latestUsage: any = null;
|
||
|
|
for await (const response of streamGeminiResponses(params, buildRequest(params, conversation))) {
|
||
|
|
rawResponses.push(response);
|
||
|
|
if (response?.usageMetadata) latestUsage = response.usageMetadata;
|
||
|
|
const failureMessage = getFailureMessage(response, extractText(response), 0);
|
||
|
|
if (failureMessage) throw new Error(failureMessage);
|
||
|
|
const delta = extractText(response);
|
||
|
|
if (delta) {
|
||
|
|
text += delta;
|
||
|
|
yield { type: "delta", text: delta };
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
sawUsage = mergeUsage(usageAcc, latestUsage) || sawUsage;
|
||
|
|
|
||
|
|
yield {
|
||
|
|
type: "done",
|
||
|
|
result: {
|
||
|
|
text,
|
||
|
|
usage: sawUsage ? usageAcc : undefined,
|
||
|
|
raw: { streamed: true, responses: rawResponses, toolCallsUsed: 0, api: "gemini.streamGenerateContent" },
|
||
|
|
toolEvents: [],
|
||
|
|
},
|
||
|
|
};
|
||
|
|
return;
|
||
|
|
}
|
||
|
|
|
||
|
|
for (let round = 0; round < MAX_TOOL_ROUNDS; round += 1) {
|
||
|
|
const roundParts: any[] = [];
|
||
|
|
let roundText = "";
|
||
|
|
let latestRoundResponse: any = null;
|
||
|
|
let latestRoundUsage: any = null;
|
||
|
|
|
||
|
|
for await (const response of streamGeminiResponses(params, buildRequest(params, conversation, enabledTools))) {
|
||
|
|
rawResponses.push(response);
|
||
|
|
latestRoundResponse = response;
|
||
|
|
if (response?.usageMetadata) latestRoundUsage = response.usageMetadata;
|
||
|
|
roundParts.push(...getParts(response));
|
||
|
|
roundText += extractText(response);
|
||
|
|
}
|
||
|
|
|
||
|
|
sawUsage = mergeUsage(usageAcc, latestRoundUsage) || sawUsage;
|
||
|
|
|
||
|
|
const normalizedToolCalls = normalizeToolCallsFromParts(roundParts, round);
|
||
|
|
const failureMessage = getFailureMessage(latestRoundResponse ?? { candidates: [{ content: { parts: roundParts } }] }, roundText, normalizedToolCalls.length);
|
||
|
|
if (failureMessage) throw new Error(failureMessage);
|
||
|
|
|
||
|
|
if (!normalizedToolCalls.length) {
|
||
|
|
if (danglingToolIntentRetries < MAX_DANGLING_TOOL_INTENT_RETRIES && looksLikeDanglingToolIntent(roundText)) {
|
||
|
|
danglingToolIntentRetries += 1;
|
||
|
|
appendCorrection(conversation, roundText);
|
||
|
|
continue;
|
||
|
|
}
|
||
|
|
const unstreamedText = getUnstreamedText(roundText, "");
|
||
|
|
if (unstreamedText) {
|
||
|
|
yield { type: "delta", text: unstreamedText };
|
||
|
|
}
|
||
|
|
yield {
|
||
|
|
type: "done",
|
||
|
|
result: {
|
||
|
|
text: roundText,
|
||
|
|
usage: sawUsage ? usageAcc : undefined,
|
||
|
|
raw: { streamed: true, responses: rawResponses, toolCallsUsed: totalToolCalls, api: "gemini.streamGenerateContent" },
|
||
|
|
toolEvents,
|
||
|
|
},
|
||
|
|
};
|
||
|
|
return;
|
||
|
|
}
|
||
|
|
|
||
|
|
totalToolCalls += normalizedToolCalls.length;
|
||
|
|
conversation.push({ role: "model", parts: roundParts });
|
||
|
|
|
||
|
|
const toolResultParts: any[] = [];
|
||
|
|
for (const call of normalizedToolCalls) {
|
||
|
|
const { event: initiatedEvent, execution } = prepareToolCallExecution(call);
|
||
|
|
yield { type: "tool_call", event: initiatedEvent };
|
||
|
|
const { event, toolResult } = await executeToolCallAndBuildEvent(call, execution, params);
|
||
|
|
toolEvents.push(event);
|
||
|
|
yield { type: "tool_call", event };
|
||
|
|
toolResultParts.push(buildFunctionResponsePart(call, toolResult));
|
||
|
|
}
|
||
|
|
|
||
|
|
conversation.push({ role: "user", parts: toolResultParts });
|
||
|
|
}
|
||
|
|
|
||
|
|
yield {
|
||
|
|
type: "done",
|
||
|
|
result: {
|
||
|
|
text: "I reached the tool-call limit while gathering information. Please narrow the request and try again.",
|
||
|
|
usage: sawUsage ? usageAcc : undefined,
|
||
|
|
raw: {
|
||
|
|
streamed: true,
|
||
|
|
responses: rawResponses,
|
||
|
|
toolCallsUsed: totalToolCalls,
|
||
|
|
toolCallLimitReached: true,
|
||
|
|
api: "gemini.streamGenerateContent",
|
||
|
|
},
|
||
|
|
toolEvents,
|
||
|
|
},
|
||
|
|
};
|
||
|
|
}
|