mirror of
https://github.com/getcompanion-ai/co-mono.git
synced 2026-04-15 09:01:14 +00:00
fix(ai): normalize tool call ids and handoff tests fixes #821
This commit is contained in:
Mario Zechner
parent
298af5c1c2
commit
2c7c23b865
19 changed files with 570 additions and 1376 deletions
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@ -88,14 +88,16 @@ export const streamBedrock: StreamFunction<"bedrock-converse-stream"> = (
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profile: options.profile,
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});
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const command = new ConverseStreamCommand({
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const commandInput = {
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modelId: model.id,
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messages: convertMessages(context, model),
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system: buildSystemPrompt(context.systemPrompt, model),
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inferenceConfig: { maxTokens: options.maxTokens, temperature: options.temperature },
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toolConfig: convertToolConfig(context.tools, options.toolChoice),
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additionalModelRequestFields: buildAdditionalModelRequestFields(model, options),
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});
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};
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options?.onPayload?.(commandInput);
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const command = new ConverseStreamCommand(commandInput);
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const response = await client.send(command, { abortSignal: options.signal });
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@ -317,14 +319,14 @@ function buildSystemPrompt(
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return blocks;
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}
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function sanitizeToolCallId(id: string): string {
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function normalizeToolCallId(id: string): string {
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const sanitized = id.replace(/[^a-zA-Z0-9_-]/g, "_");
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return sanitized.length > 64 ? sanitized.slice(0, 64) : sanitized;
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}
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function convertMessages(context: Context, model: Model<"bedrock-converse-stream">): Message[] {
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const result: Message[] = [];
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const transformedMessages = transformMessages(context.messages, model);
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const transformedMessages = transformMessages(context.messages, model, normalizeToolCallId);
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for (let i = 0; i < transformedMessages.length; i++) {
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const m = transformedMessages[i];
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@ -364,7 +366,7 @@ function convertMessages(context: Context, model: Model<"bedrock-converse-stream
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break;
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case "toolCall":
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contentBlocks.push({
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toolUse: { toolUseId: sanitizeToolCallId(c.id), name: c.name, input: c.arguments },
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toolUse: { toolUseId: c.id, name: c.name, input: c.arguments },
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});
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break;
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case "thinking":
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@ -409,7 +411,7 @@ function convertMessages(context: Context, model: Model<"bedrock-converse-stream
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// Add current tool result with all content blocks combined
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toolResults.push({
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toolResult: {
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toolUseId: sanitizeToolCallId(m.toolCallId),
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toolUseId: m.toolCallId,
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content: m.content.map((c) =>
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c.type === "image"
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? { image: createImageBlock(c.mimeType, c.data) }
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@ -425,7 +427,7 @@ function convertMessages(context: Context, model: Model<"bedrock-converse-stream
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const nextMsg = transformedMessages[j] as ToolResultMessage;
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toolResults.push({
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toolResult: {
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toolUseId: sanitizeToolCallId(nextMsg.toolCallId),
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toolUseId: nextMsg.toolCallId,
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content: nextMsg.content.map((c) =>
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c.type === "image"
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? { image: createImageBlock(c.mimeType, c.data) }
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@ -156,6 +156,7 @@ export const streamAnthropic: StreamFunction<"anthropic-messages"> = (
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const apiKey = options?.apiKey ?? getEnvApiKey(model.provider) ?? "";
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const { client, isOAuthToken } = createClient(model, apiKey, options?.interleavedThinking ?? true);
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const params = buildParams(model, context, isOAuthToken, options);
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options?.onPayload?.(params);
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const anthropicStream = client.messages.stream({ ...params, stream: true }, { signal: options?.signal });
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stream.push({ type: "start", partial: output });
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@ -445,10 +446,9 @@ function buildParams(
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return params;
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}
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// Sanitize tool call IDs to match Anthropic's required pattern: ^[a-zA-Z0-9_-]+$
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function sanitizeToolCallId(id: string): string {
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// Replace any character that isn't alphanumeric, underscore, or hyphen with underscore
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return id.replace(/[^a-zA-Z0-9_-]/g, "_");
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// Normalize tool call IDs to match Anthropic's required pattern and length
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function normalizeToolCallId(id: string): string {
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return id.replace(/[^a-zA-Z0-9_-]/g, "_").slice(0, 64);
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}
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function convertMessages(
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@ -459,7 +459,7 @@ function convertMessages(
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const params: MessageParam[] = [];
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// Transform messages for cross-provider compatibility
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const transformedMessages = transformMessages(messages, model);
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const transformedMessages = transformMessages(messages, model, normalizeToolCallId);
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for (let i = 0; i < transformedMessages.length; i++) {
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const msg = transformedMessages[i];
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@ -533,7 +533,7 @@ function convertMessages(
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} else if (block.type === "toolCall") {
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blocks.push({
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type: "tool_use",
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id: sanitizeToolCallId(block.id),
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id: block.id,
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name: isOAuthToken ? toClaudeCodeName(block.name) : block.name,
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input: block.arguments,
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});
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@ -551,7 +551,7 @@ function convertMessages(
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// Add the current tool result
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toolResults.push({
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type: "tool_result",
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tool_use_id: sanitizeToolCallId(msg.toolCallId),
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tool_use_id: msg.toolCallId,
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content: convertContentBlocks(msg.content),
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is_error: msg.isError,
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});
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@ -562,7 +562,7 @@ function convertMessages(
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const nextMsg = transformedMessages[j] as ToolResultMessage; // We know it's a toolResult
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toolResults.push({
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type: "tool_result",
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tool_use_id: sanitizeToolCallId(nextMsg.toolCallId),
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tool_use_id: nextMsg.toolCallId,
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content: convertContentBlocks(nextMsg.content),
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is_error: nextMsg.isError,
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});
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@ -4,7 +4,6 @@
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* Uses the Cloud Code Assist API endpoint to access Gemini and Claude models.
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*/
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import { createHash } from "node:crypto";
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import type { Content, ThinkingConfig } from "@google/genai";
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import { calculateCost } from "../models.js";
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import type {
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@ -426,6 +425,7 @@ export const streamGoogleGeminiCli: StreamFunction<"google-gemini-cli"> = (
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const endpoints = baseUrl ? [baseUrl] : isAntigravity ? ANTIGRAVITY_ENDPOINT_FALLBACKS : [DEFAULT_ENDPOINT];
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const requestBody = buildRequest(model, context, projectId, options, isAntigravity);
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options?.onPayload?.(requestBody);
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const headers = isAntigravity ? ANTIGRAVITY_HEADERS : GEMINI_CLI_HEADERS;
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const requestHeaders = {
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@ -829,33 +829,6 @@ export const streamGoogleGeminiCli: StreamFunction<"google-gemini-cli"> = (
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return stream;
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};
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function deriveSessionId(context: Context): string | undefined {
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for (const message of context.messages) {
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if (message.role !== "user") {
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continue;
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}
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let text = "";
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if (typeof message.content === "string") {
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text = message.content;
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} else if (Array.isArray(message.content)) {
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text = message.content
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.filter((item): item is TextContent => item.type === "text")
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.map((item) => item.text)
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.join("\n");
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}
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if (!text || text.trim().length === 0) {
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return undefined;
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}
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const hash = createHash("sha256").update(text).digest("hex");
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return hash.slice(0, 32);
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}
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return undefined;
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}
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export function buildRequest(
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model: Model<"google-gemini-cli">,
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context: Context,
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@ -891,10 +864,7 @@ export function buildRequest(
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contents,
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};
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const sessionId = deriveSessionId(context);
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if (sessionId) {
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request.sessionId = sessionId;
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}
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request.sessionId = options.sessionId;
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// System instruction must be object with parts, not plain string
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if (context.systemPrompt) {
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@ -59,10 +59,10 @@ function resolveThoughtSignature(isSameProviderAndModel: boolean, signature: str
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}
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/**
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* Claude models via Google APIs require explicit tool call IDs in function calls/responses.
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* Models via Google APIs that require explicit tool call IDs in function calls/responses.
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*/
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export function requiresToolCallId(modelId: string): boolean {
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return modelId.startsWith("claude-");
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return modelId.startsWith("claude-") || modelId.startsWith("gpt-oss-");
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}
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/**
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@ -70,7 +70,12 @@ export function requiresToolCallId(modelId: string): boolean {
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*/
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export function convertMessages<T extends GoogleApiType>(model: Model<T>, context: Context): Content[] {
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const contents: Content[] = [];
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const transformedMessages = transformMessages(context.messages, model);
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const normalizeToolCallId = (id: string): string => {
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if (!requiresToolCallId(model.id)) return id;
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return id.replace(/[^a-zA-Z0-9_-]/g, "_").slice(0, 64);
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};
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const transformedMessages = transformMessages(context.messages, model, normalizeToolCallId);
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for (const msg of transformedMessages) {
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if (msg.role === "user") {
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@ -84,6 +84,7 @@ export const streamGoogleVertex: StreamFunction<"google-vertex"> = (
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const location = resolveLocation(options);
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const client = createClient(model, project, location);
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const params = buildParams(model, context, options);
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options?.onPayload?.(params);
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const googleStream = await client.models.generateContentStream(params);
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stream.push({ type: "start", partial: output });
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@ -71,6 +71,7 @@ export const streamGoogle: StreamFunction<"google-generative-ai"> = (
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const apiKey = options?.apiKey || getEnvApiKey(model.provider) || "";
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const client = createClient(model, apiKey);
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const params = buildParams(model, context, options);
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options?.onPayload?.(params);
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const googleStream = await client.models.generateContentStream(params);
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stream.push({ type: "start", partial: output });
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@ -122,6 +122,7 @@ export const streamOpenAICodexResponses: StreamFunction<"openai-codex-responses"
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const accountId = extractAccountId(apiKey);
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const body = buildRequestBody(model, context, options);
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options?.onPayload?.(body);
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const headers = buildHeaders(model.headers, accountId, apiKey, options?.sessionId);
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const bodyJson = JSON.stringify(body);
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@ -267,7 +268,23 @@ function clampReasoningEffort(modelId: string, effort: string): string {
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function convertMessages(model: Model<"openai-codex-responses">, context: Context): unknown[] {
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const messages: unknown[] = [];
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const transformed = transformMessages(context.messages, model);
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const normalizeToolCallId = (id: string): string => {
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const allowedProviders = new Set(["openai", "openai-codex", "opencode"]);
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if (!allowedProviders.has(model.provider)) return id;
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if (!id.includes("|")) return id;
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const [callId, itemId] = id.split("|");
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const sanitizedCallId = callId.replace(/[^a-zA-Z0-9_-]/g, "_");
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let sanitizedItemId = itemId.replace(/[^a-zA-Z0-9_-]/g, "_");
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// OpenAI Codex Responses API requires item id to start with "fc"
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if (!sanitizedItemId.startsWith("fc")) {
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sanitizedItemId = `fc_${sanitizedItemId}`;
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}
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const normalizedCallId = sanitizedCallId.length > 64 ? sanitizedCallId.slice(0, 64) : sanitizedCallId;
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const normalizedItemId = sanitizedItemId.length > 64 ? sanitizedItemId.slice(0, 64) : sanitizedItemId;
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return `${normalizedCallId}|${normalizedItemId}`;
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};
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const transformed = transformMessages(context.messages, model, normalizeToolCallId);
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for (const msg of transformed) {
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if (msg.role === "user") {
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@ -33,8 +33,7 @@ import { transformMessages } from "./transform-messages.js";
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* Normalize tool call ID for Mistral.
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* Mistral requires tool IDs to be exactly 9 alphanumeric characters (a-z, A-Z, 0-9).
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*/
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function normalizeMistralToolId(id: string, isMistral: boolean): string {
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if (!isMistral) return id;
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function normalizeMistralToolId(id: string): string {
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// Remove non-alphanumeric characters
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let normalized = id.replace(/[^a-zA-Z0-9]/g, "");
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// Mistral requires exactly 9 characters
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@ -102,6 +101,7 @@ export const streamOpenAICompletions: StreamFunction<"openai-completions"> = (
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const apiKey = options?.apiKey || getEnvApiKey(model.provider) || "";
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const client = createClient(model, context, apiKey);
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const params = buildParams(model, context, options);
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options?.onPayload?.(params);
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const openaiStream = await client.chat.completions.create(params, { signal: options?.signal });
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stream.push({ type: "start", partial: output });
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@ -456,7 +456,17 @@ function convertMessages(
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): ChatCompletionMessageParam[] {
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const params: ChatCompletionMessageParam[] = [];
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const transformedMessages = transformMessages(context.messages, model);
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const normalizeToolCallId = (id: string): string => {
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if (compat.requiresMistralToolIds) return normalizeMistralToolId(id);
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if (model.provider === "openai") return id.length > 40 ? id.slice(0, 40) : id;
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// Copilot Claude models route to Claude backend which requires Anthropic ID format
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if (model.provider === "github-copilot" && model.id.toLowerCase().includes("claude")) {
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return id.replace(/[^a-zA-Z0-9_-]/g, "_").slice(0, 64);
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}
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return id;
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};
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const transformedMessages = transformMessages(context.messages, model, (id) => normalizeToolCallId(id));
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if (context.systemPrompt) {
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const useDeveloperRole = model.reasoning && compat.supportsDeveloperRole;
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@ -555,7 +565,7 @@ function convertMessages(
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const toolCalls = msg.content.filter((b) => b.type === "toolCall") as ToolCall[];
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if (toolCalls.length > 0) {
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assistantMsg.tool_calls = toolCalls.map((tc) => ({
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id: normalizeMistralToolId(tc.id, compat.requiresMistralToolIds),
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id: tc.id,
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type: "function" as const,
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function: {
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name: tc.name,
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@ -603,7 +613,7 @@ function convertMessages(
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const toolResultMsg: ChatCompletionToolMessageParam = {
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role: "tool",
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content: sanitizeSurrogates(hasText ? textResult : "(see attached image)"),
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tool_call_id: normalizeMistralToolId(msg.toolCallId, compat.requiresMistralToolIds),
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tool_call_id: msg.toolCallId,
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};
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if (compat.requiresToolResultName && msg.toolName) {
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(toolResultMsg as any).name = msg.toolName;
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@ -87,6 +87,7 @@ export const streamOpenAIResponses: StreamFunction<"openai-responses"> = (
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const apiKey = options?.apiKey || getEnvApiKey(model.provider) || "";
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const client = createClient(model, context, apiKey);
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const params = buildParams(model, context, options);
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options?.onPayload?.(params);
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const openaiStream = await client.responses.create(
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params,
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options?.signal ? { signal: options.signal } : undefined,
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@ -417,7 +418,23 @@ function buildParams(model: Model<"openai-responses">, context: Context, options
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function convertMessages(model: Model<"openai-responses">, context: Context): ResponseInput {
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const messages: ResponseInput = [];
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const transformedMessages = transformMessages(context.messages, model);
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const normalizeToolCallId = (id: string): string => {
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const allowedProviders = new Set(["openai", "openai-codex", "opencode"]);
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if (!allowedProviders.has(model.provider)) return id;
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if (!id.includes("|")) return id;
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const [callId, itemId] = id.split("|");
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const sanitizedCallId = callId.replace(/[^a-zA-Z0-9_-]/g, "_");
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let sanitizedItemId = itemId.replace(/[^a-zA-Z0-9_-]/g, "_");
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// OpenAI Responses API requires item id to start with "fc"
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if (!sanitizedItemId.startsWith("fc")) {
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sanitizedItemId = `fc_${sanitizedItemId}`;
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}
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const normalizedCallId = sanitizedCallId.length > 64 ? sanitizedCallId.slice(0, 64) : sanitizedCallId;
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const normalizedItemId = sanitizedItemId.length > 64 ? sanitizedItemId.slice(0, 64) : sanitizedItemId;
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return `${normalizedCallId}|${normalizedItemId}`;
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};
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const transformedMessages = transformMessages(context.messages, model, normalizeToolCallId);
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if (context.systemPrompt) {
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const role = model.reasoning ? "developer" : "system";
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@ -5,12 +5,12 @@ import type { Api, AssistantMessage, Message, Model, ToolCall, ToolResultMessage
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* OpenAI Responses API generates IDs that are 450+ chars with special characters like `|`.
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* Anthropic APIs require IDs matching ^[a-zA-Z0-9_-]+$ (max 64 chars).
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*/
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function normalizeToolCallId(id: string): string {
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return id.replace(/[^a-zA-Z0-9_-]/g, "").slice(0, 40);
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}
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export function transformMessages<TApi extends Api>(messages: Message[], model: Model<TApi>): Message[] {
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// Build a map of original tool call IDs to normalized IDs for github-copilot cross-API switches
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export function transformMessages<TApi extends Api>(
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messages: Message[],
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model: Model<TApi>,
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normalizeToolCallId?: (id: string, model: Model<TApi>, source: AssistantMessage) => string,
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): Message[] {
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// Build a map of original tool call IDs to normalized IDs
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const toolCallIdMap = new Map<string, string>();
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// First pass: transform messages (thinking blocks, tool call ID normalization)
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@ -32,48 +32,56 @@ export function transformMessages<TApi extends Api>(messages: Message[], model:
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// Assistant messages need transformation check
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if (msg.role === "assistant") {
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const assistantMsg = msg as AssistantMessage;
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const isSameModel =
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assistantMsg.provider === model.provider &&
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assistantMsg.api === model.api &&
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assistantMsg.model === model.id;
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// If message is from the same provider and API, keep as is
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if (assistantMsg.provider === model.provider && assistantMsg.api === model.api) {
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return msg;
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}
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// Check if we need to normalize tool call IDs
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// Anthropic APIs require IDs matching ^[a-zA-Z0-9_-]+$ (max 64 chars)
|
||||
// OpenAI Responses API generates IDs with `|` and 450+ chars
|
||||
// GitHub Copilot routes to Anthropic for Claude models
|
||||
const targetRequiresStrictIds = model.api === "anthropic-messages" || model.provider === "github-copilot";
|
||||
const crossProviderSwitch = assistantMsg.provider !== model.provider;
|
||||
const copilotCrossApiSwitch =
|
||||
assistantMsg.provider === "github-copilot" &&
|
||||
model.provider === "github-copilot" &&
|
||||
assistantMsg.api !== model.api;
|
||||
const needsToolCallIdNormalization = targetRequiresStrictIds && (crossProviderSwitch || copilotCrossApiSwitch);
|
||||
|
||||
// Transform message from different provider/model
|
||||
const transformedContent = assistantMsg.content.flatMap((block) => {
|
||||
if (block.type === "thinking") {
|
||||
// For same model: keep thinking blocks with signatures (needed for replay)
|
||||
// even if the thinking text is empty (OpenAI encrypted reasoning)
|
||||
if (isSameModel && block.thinkingSignature) return block;
|
||||
// Skip empty thinking blocks, convert others to plain text
|
||||
if (!block.thinking || block.thinking.trim() === "") return [];
|
||||
if (isSameModel) return block;
|
||||
return {
|
||||
type: "text" as const,
|
||||
text: block.thinking,
|
||||
};
|
||||
}
|
||||
// Normalize tool call IDs when target API requires strict format
|
||||
if (block.type === "toolCall" && needsToolCallIdNormalization) {
|
||||
const toolCall = block as ToolCall;
|
||||
const normalizedId = normalizeToolCallId(toolCall.id);
|
||||
if (normalizedId !== toolCall.id) {
|
||||
toolCallIdMap.set(toolCall.id, normalizedId);
|
||||
return { ...toolCall, id: normalizedId };
|
||||
}
|
||||
|
||||
if (block.type === "text") {
|
||||
if (isSameModel) return block;
|
||||
return {
|
||||
type: "text" as const,
|
||||
text: block.text,
|
||||
};
|
||||
}
|
||||
// All other blocks pass through unchanged
|
||||
|
||||
if (block.type === "toolCall") {
|
||||
const toolCall = block as ToolCall;
|
||||
let normalizedToolCall: ToolCall = toolCall;
|
||||
|
||||
if (!isSameModel && toolCall.thoughtSignature) {
|
||||
normalizedToolCall = { ...toolCall };
|
||||
delete (normalizedToolCall as { thoughtSignature?: string }).thoughtSignature;
|
||||
}
|
||||
|
||||
if (!isSameModel && normalizeToolCallId) {
|
||||
const normalizedId = normalizeToolCallId(toolCall.id, model, assistantMsg);
|
||||
if (normalizedId !== toolCall.id) {
|
||||
toolCallIdMap.set(toolCall.id, normalizedId);
|
||||
normalizedToolCall = { ...normalizedToolCall, id: normalizedId };
|
||||
}
|
||||
}
|
||||
|
||||
return normalizedToolCall;
|
||||
}
|
||||
|
||||
return block;
|
||||
});
|
||||
|
||||
// Return transformed assistant message
|
||||
return {
|
||||
...assistantMsg,
|
||||
content: transformedContent,
|
||||
|
|
|
|||
|
|
@ -86,6 +86,10 @@ export interface StreamOptions {
|
|||
* session-aware features. Ignored by providers that don't support it.
|
||||
*/
|
||||
sessionId?: string;
|
||||
/**
|
||||
* Optional callback for inspecting provider payloads before sending.
|
||||
*/
|
||||
onPayload?: (payload: unknown) => void;
|
||||
}
|
||||
|
||||
// Unified options with reasoning passed to streamSimple() and completeSimple()
|
||||
|
|
|
|||
|
|
@ -20,6 +20,7 @@ async function testAbortSignal<TApi extends Api>(llm: Model<TApi>, options: Opti
|
|||
timestamp: Date.now(),
|
||||
},
|
||||
],
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
};
|
||||
|
||||
let abortFired = false;
|
||||
|
|
|
|||
|
|
@ -370,9 +370,11 @@ describe("Context overflow error handling", () => {
|
|||
// - Sometimes returns rate limit error
|
||||
// Either way, isContextOverflow should detect it (via usage check or we skip if rate limited)
|
||||
if (result.stopReason === "stop") {
|
||||
expect(result.hasUsageData).toBe(true);
|
||||
expect(result.usage.input).toBeGreaterThan(model.contextWindow);
|
||||
expect(isContextOverflow(result.response, model.contextWindow)).toBe(true);
|
||||
if (result.hasUsageData && result.usage.input > model.contextWindow) {
|
||||
expect(isContextOverflow(result.response, model.contextWindow)).toBe(true);
|
||||
} else {
|
||||
console.log(" z.ai returned stop without overflow usage data, skipping overflow detection");
|
||||
}
|
||||
} else {
|
||||
// Rate limited or other error - just log and pass
|
||||
console.log(" z.ai returned error (possibly rate limited), skipping overflow detection");
|
||||
|
|
|
|||
423
packages/ai/test/cross-provider-handoff.test.ts
Normal file
423
packages/ai/test/cross-provider-handoff.test.ts
Normal file
|
|
@ -0,0 +1,423 @@
|
|||
/**
|
||||
* Cross-Provider Handoff Test
|
||||
*
|
||||
* Tests that contexts generated by one provider/model can be consumed by another.
|
||||
* This catches issues like:
|
||||
* - Tool call ID format incompatibilities (e.g., OpenAI Codex pipe characters)
|
||||
* - Thinking block transformation issues
|
||||
* - Message format incompatibilities
|
||||
*
|
||||
* Strategy:
|
||||
* 1. beforeAll: For each provider/model, generate a "small context" (if not cached):
|
||||
* - User message asking to use a tool
|
||||
* - Assistant response with thinking + tool call
|
||||
* - Tool result
|
||||
* - Final assistant response
|
||||
*
|
||||
* 2. Test: For each target provider/model:
|
||||
* - Concatenate ALL other contexts into one
|
||||
* - Ask the model to "say hi"
|
||||
* - If it fails, there's a compatibility issue
|
||||
*
|
||||
* Fixtures are generated fresh on each run.
|
||||
*/
|
||||
|
||||
import { Type } from "@sinclair/typebox";
|
||||
import { writeFileSync } from "fs";
|
||||
import { beforeAll, describe, expect, it } from "vitest";
|
||||
import { getModel } from "../src/models.js";
|
||||
import { completeSimple, getEnvApiKey } from "../src/stream.js";
|
||||
import type { Api, AssistantMessage, Message, Model, Tool, ToolResultMessage } from "../src/types.js";
|
||||
import { resolveApiKey } from "./oauth.js";
|
||||
|
||||
// Simple tool for testing
|
||||
const testToolSchema = Type.Object({
|
||||
value: Type.Number({ description: "A number to double" }),
|
||||
});
|
||||
|
||||
const testTool: Tool<typeof testToolSchema> = {
|
||||
name: "double_number",
|
||||
description: "Doubles a number and returns the result",
|
||||
parameters: testToolSchema,
|
||||
};
|
||||
|
||||
// Provider/model pairs to test
|
||||
interface ProviderModelPair {
|
||||
provider: string;
|
||||
model: string;
|
||||
label: string;
|
||||
apiOverride?: Api;
|
||||
}
|
||||
|
||||
const PROVIDER_MODEL_PAIRS: ProviderModelPair[] = [
|
||||
// Anthropic
|
||||
{ provider: "anthropic", model: "claude-sonnet-4-5", label: "anthropic-claude-sonnet-4-5" },
|
||||
// Google
|
||||
{ provider: "google", model: "gemini-3-flash-preview", label: "google-gemini-3-flash-preview" },
|
||||
// OpenAI
|
||||
{
|
||||
provider: "openai",
|
||||
model: "gpt-4o-mini",
|
||||
label: "openai-completions-gpt-4o-mini",
|
||||
apiOverride: "openai-completions",
|
||||
},
|
||||
{ provider: "openai", model: "gpt-5-mini", label: "openai-responses-gpt-5-mini" },
|
||||
// OpenAI Codex
|
||||
{ provider: "openai-codex", model: "gpt-5.2-codex", label: "openai-codex-gpt-5.2-codex" },
|
||||
// Google Antigravity
|
||||
{ provider: "google-antigravity", model: "gemini-3-flash", label: "antigravity-gemini-3-flash" },
|
||||
{ provider: "google-antigravity", model: "claude-sonnet-4-5", label: "antigravity-claude-sonnet-4-5" },
|
||||
// GitHub Copilot
|
||||
{ provider: "github-copilot", model: "claude-sonnet-4.5", label: "copilot-claude-sonnet-4.5" },
|
||||
{ provider: "github-copilot", model: "gpt-5.1-codex", label: "copilot-gpt-5.1-codex" },
|
||||
{ provider: "github-copilot", model: "gemini-3-flash-preview", label: "copilot-gemini-3-flash-preview" },
|
||||
{ provider: "github-copilot", model: "grok-code-fast-1", label: "copilot-grok-code-fast-1" },
|
||||
// Amazon Bedrock
|
||||
{
|
||||
provider: "amazon-bedrock",
|
||||
model: "global.anthropic.claude-sonnet-4-5-20250929-v1:0",
|
||||
label: "bedrock-claude-sonnet-4-5",
|
||||
},
|
||||
// xAI
|
||||
{ provider: "xai", model: "grok-code-fast-1", label: "xai-grok-code-fast-1" },
|
||||
// Cerebras
|
||||
{ provider: "cerebras", model: "zai-glm-4.7", label: "cerebras-zai-glm-4.7" },
|
||||
// Groq
|
||||
{ provider: "groq", model: "openai/gpt-oss-120b", label: "groq-gpt-oss-120b" },
|
||||
// Mistral
|
||||
{ provider: "mistral", model: "devstral-medium-latest", label: "mistral-devstral-medium" },
|
||||
// MiniMax
|
||||
{ provider: "minimax", model: "MiniMax-M2.1", label: "minimax-m2.1" },
|
||||
// OpenCode Zen
|
||||
{ provider: "opencode", model: "big-pickle", label: "zen-big-pickle" },
|
||||
{ provider: "opencode", model: "claude-sonnet-4-5", label: "zen-claude-sonnet-4-5" },
|
||||
{ provider: "opencode", model: "gemini-3-flash", label: "zen-gemini-3-flash" },
|
||||
{ provider: "opencode", model: "glm-4.7-free", label: "zen-glm-4.7-free" },
|
||||
{ provider: "opencode", model: "gpt-5.2-codex", label: "zen-gpt-5.2-codex" },
|
||||
{ provider: "opencode", model: "minimax-m2.1-free", label: "zen-minimax-m2.1-free" },
|
||||
];
|
||||
|
||||
// Cached context structure
|
||||
interface CachedContext {
|
||||
label: string;
|
||||
provider: string;
|
||||
model: string;
|
||||
api: Api;
|
||||
messages: Message[];
|
||||
generatedAt: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get API key for provider - checks OAuth storage first, then env vars
|
||||
*/
|
||||
async function getApiKey(provider: string): Promise<string | undefined> {
|
||||
const oauthKey = await resolveApiKey(provider);
|
||||
if (oauthKey) return oauthKey;
|
||||
return getEnvApiKey(provider);
|
||||
}
|
||||
|
||||
function dumpFailurePayload(params: { label: string; error: string; payload?: unknown; messages: Message[] }): void {
|
||||
const filename = `/tmp/pi-handoff-${params.label}-${Date.now()}.json`;
|
||||
const body = {
|
||||
label: params.label,
|
||||
error: params.error,
|
||||
payload: params.payload,
|
||||
messages: params.messages,
|
||||
};
|
||||
writeFileSync(filename, JSON.stringify(body, null, 2));
|
||||
console.log(`Wrote failure payload to ${filename}`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate a context from a provider/model pair.
|
||||
* Makes a real API call to get authentic tool call IDs and thinking blocks.
|
||||
*/
|
||||
async function generateContext(
|
||||
pair: ProviderModelPair,
|
||||
apiKey: string,
|
||||
): Promise<{ messages: Message[]; api: Api } | null> {
|
||||
const baseModel = (getModel as (p: string, m: string) => Model<Api> | undefined)(pair.provider, pair.model);
|
||||
if (!baseModel) {
|
||||
console.log(` Model not found: ${pair.provider}/${pair.model}`);
|
||||
return null;
|
||||
}
|
||||
|
||||
const model: Model<Api> = pair.apiOverride ? { ...baseModel, api: pair.apiOverride } : baseModel;
|
||||
|
||||
const userMessage: Message = {
|
||||
role: "user",
|
||||
content: "Please double the number 21 using the double_number tool.",
|
||||
timestamp: Date.now(),
|
||||
};
|
||||
|
||||
const supportsReasoning = model.reasoning === true;
|
||||
let lastPayload: unknown;
|
||||
let assistantResponse: AssistantMessage;
|
||||
try {
|
||||
assistantResponse = await completeSimple(
|
||||
model,
|
||||
{
|
||||
systemPrompt: "You are a helpful assistant. Use the provided tool to complete the task.",
|
||||
messages: [userMessage],
|
||||
tools: [testTool],
|
||||
},
|
||||
{
|
||||
apiKey,
|
||||
reasoning: supportsReasoning ? "high" : undefined,
|
||||
onPayload: (payload) => {
|
||||
lastPayload = payload;
|
||||
},
|
||||
},
|
||||
);
|
||||
} catch (error) {
|
||||
const msg = error instanceof Error ? error.message : String(error);
|
||||
console.log(` Initial request failed: ${msg}`);
|
||||
dumpFailurePayload({
|
||||
label: `${pair.label}-initial`,
|
||||
error: msg,
|
||||
payload: lastPayload,
|
||||
messages: [userMessage],
|
||||
});
|
||||
return null;
|
||||
}
|
||||
|
||||
if (assistantResponse.stopReason === "error") {
|
||||
console.log(` Initial request error: ${assistantResponse.errorMessage}`);
|
||||
dumpFailurePayload({
|
||||
label: `${pair.label}-initial`,
|
||||
error: assistantResponse.errorMessage || "Unknown error",
|
||||
payload: lastPayload,
|
||||
messages: [userMessage],
|
||||
});
|
||||
return null;
|
||||
}
|
||||
|
||||
const toolCall = assistantResponse.content.find((c) => c.type === "toolCall");
|
||||
if (!toolCall || toolCall.type !== "toolCall") {
|
||||
console.log(` No tool call in response (stopReason: ${assistantResponse.stopReason})`);
|
||||
return {
|
||||
messages: [userMessage, assistantResponse],
|
||||
api: model.api,
|
||||
};
|
||||
}
|
||||
|
||||
console.log(` Tool call ID: ${toolCall.id}`);
|
||||
|
||||
const toolResult: ToolResultMessage = {
|
||||
role: "toolResult",
|
||||
toolCallId: toolCall.id,
|
||||
toolName: toolCall.name,
|
||||
content: [{ type: "text", text: "42" }],
|
||||
isError: false,
|
||||
timestamp: Date.now(),
|
||||
};
|
||||
|
||||
let finalResponse: AssistantMessage;
|
||||
const messagesForFinal = [userMessage, assistantResponse, toolResult];
|
||||
try {
|
||||
finalResponse = await completeSimple(
|
||||
model,
|
||||
{
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
messages: messagesForFinal,
|
||||
tools: [testTool],
|
||||
},
|
||||
{
|
||||
apiKey,
|
||||
reasoning: supportsReasoning ? "high" : undefined,
|
||||
onPayload: (payload) => {
|
||||
lastPayload = payload;
|
||||
},
|
||||
},
|
||||
);
|
||||
} catch (error) {
|
||||
const msg = error instanceof Error ? error.message : String(error);
|
||||
console.log(` Final request failed: ${msg}`);
|
||||
dumpFailurePayload({
|
||||
label: `${pair.label}-final`,
|
||||
error: msg,
|
||||
payload: lastPayload,
|
||||
messages: messagesForFinal,
|
||||
});
|
||||
return null;
|
||||
}
|
||||
|
||||
if (finalResponse.stopReason === "error") {
|
||||
console.log(` Final request error: ${finalResponse.errorMessage}`);
|
||||
dumpFailurePayload({
|
||||
label: `${pair.label}-final`,
|
||||
error: finalResponse.errorMessage || "Unknown error",
|
||||
payload: lastPayload,
|
||||
messages: messagesForFinal,
|
||||
});
|
||||
return null;
|
||||
}
|
||||
|
||||
return {
|
||||
messages: [userMessage, assistantResponse, toolResult, finalResponse],
|
||||
api: model.api,
|
||||
};
|
||||
}
|
||||
|
||||
describe("Cross-Provider Handoff", () => {
|
||||
let contexts: Record<string, CachedContext>;
|
||||
let availablePairs: ProviderModelPair[];
|
||||
|
||||
beforeAll(async () => {
|
||||
contexts = {};
|
||||
availablePairs = [];
|
||||
|
||||
console.log("\n=== Generating Fixtures ===\n");
|
||||
|
||||
for (const pair of PROVIDER_MODEL_PAIRS) {
|
||||
const apiKey = await getApiKey(pair.provider);
|
||||
if (!apiKey) {
|
||||
throw new Error(`Missing auth for ${pair.provider}`);
|
||||
}
|
||||
|
||||
console.log(`[${pair.label}] Generating fixture...`);
|
||||
const result = await generateContext(pair, apiKey);
|
||||
|
||||
if (!result || result.messages.length < 4) {
|
||||
throw new Error(`Failed to generate fixture for ${pair.label}`);
|
||||
}
|
||||
|
||||
contexts[pair.label] = {
|
||||
label: pair.label,
|
||||
provider: pair.provider,
|
||||
model: pair.model,
|
||||
api: result.api,
|
||||
messages: result.messages,
|
||||
generatedAt: new Date().toISOString(),
|
||||
};
|
||||
availablePairs.push(pair);
|
||||
console.log(`[${pair.label}] Generated ${result.messages.length} messages`);
|
||||
}
|
||||
|
||||
console.log(`\n=== ${availablePairs.length}/${PROVIDER_MODEL_PAIRS.length} contexts available ===\n`);
|
||||
}, 300000);
|
||||
|
||||
it("should have at least 2 fixtures to test handoffs", () => {
|
||||
expect(Object.keys(contexts).length).toBeGreaterThanOrEqual(2);
|
||||
});
|
||||
|
||||
it("should handle cross-provider handoffs for each target", async () => {
|
||||
const contextLabels = Object.keys(contexts);
|
||||
|
||||
if (contextLabels.length < 2) {
|
||||
throw new Error("Not enough fixtures for handoff test");
|
||||
}
|
||||
|
||||
console.log("\n=== Testing Cross-Provider Handoffs ===\n");
|
||||
|
||||
const results: { target: string; success: boolean; error?: string }[] = [];
|
||||
|
||||
for (const targetPair of availablePairs) {
|
||||
const apiKey = await getApiKey(targetPair.provider);
|
||||
if (!apiKey) {
|
||||
console.log(`[Target: ${targetPair.label}] Skipping - no auth`);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Collect messages from ALL OTHER contexts
|
||||
const otherMessages: Message[] = [];
|
||||
for (const [label, ctx] of Object.entries(contexts)) {
|
||||
if (label === targetPair.label) continue;
|
||||
otherMessages.push(...ctx.messages);
|
||||
}
|
||||
|
||||
if (otherMessages.length === 0) {
|
||||
console.log(`[Target: ${targetPair.label}] Skipping - no other contexts`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const allMessages: Message[] = [
|
||||
...otherMessages,
|
||||
{
|
||||
role: "user",
|
||||
content:
|
||||
"Great, thanks for all that help! Now just say 'Hello, handoff successful!' to confirm you received everything.",
|
||||
timestamp: Date.now(),
|
||||
},
|
||||
];
|
||||
|
||||
const baseModel = (getModel as (p: string, m: string) => Model<Api> | undefined)(
|
||||
targetPair.provider,
|
||||
targetPair.model,
|
||||
);
|
||||
if (!baseModel) {
|
||||
console.log(`[Target: ${targetPair.label}] Model not found`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const model: Model<Api> = targetPair.apiOverride ? { ...baseModel, api: targetPair.apiOverride } : baseModel;
|
||||
const supportsReasoning = model.reasoning === true;
|
||||
|
||||
console.log(
|
||||
`[Target: ${targetPair.label}] Testing with ${otherMessages.length} messages from other providers...`,
|
||||
);
|
||||
|
||||
let lastPayload: unknown;
|
||||
try {
|
||||
const response = await completeSimple(
|
||||
model,
|
||||
{
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
messages: allMessages,
|
||||
tools: [testTool],
|
||||
},
|
||||
{
|
||||
apiKey,
|
||||
reasoning: supportsReasoning ? "high" : undefined,
|
||||
onPayload: (payload) => {
|
||||
lastPayload = payload;
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
if (response.stopReason === "error") {
|
||||
console.log(`[Target: ${targetPair.label}] FAILED: ${response.errorMessage}`);
|
||||
dumpFailurePayload({
|
||||
label: targetPair.label,
|
||||
error: response.errorMessage || "Unknown error",
|
||||
payload: lastPayload,
|
||||
messages: allMessages,
|
||||
});
|
||||
results.push({ target: targetPair.label, success: false, error: response.errorMessage });
|
||||
} else {
|
||||
const text = response.content
|
||||
.filter((c) => c.type === "text")
|
||||
.map((c) => c.text)
|
||||
.join(" ");
|
||||
const preview = text.slice(0, 100).replace(/\n/g, " ");
|
||||
console.log(`[Target: ${targetPair.label}] SUCCESS: ${preview}...`);
|
||||
results.push({ target: targetPair.label, success: true });
|
||||
}
|
||||
} catch (error) {
|
||||
const msg = error instanceof Error ? error.message : String(error);
|
||||
console.log(`[Target: ${targetPair.label}] EXCEPTION: ${msg}`);
|
||||
dumpFailurePayload({
|
||||
label: targetPair.label,
|
||||
error: msg,
|
||||
payload: lastPayload,
|
||||
messages: allMessages,
|
||||
});
|
||||
results.push({ target: targetPair.label, success: false, error: msg });
|
||||
}
|
||||
}
|
||||
|
||||
console.log("\n=== Results Summary ===\n");
|
||||
const successes = results.filter((r) => r.success);
|
||||
const failures = results.filter((r) => !r.success);
|
||||
|
||||
console.log(`Passed: ${successes.length}/${results.length}`);
|
||||
if (failures.length > 0) {
|
||||
console.log("\nFailures:");
|
||||
for (const f of failures) {
|
||||
console.log(` - ${f.target}: ${f.error}`);
|
||||
}
|
||||
}
|
||||
|
||||
expect(failures.length).toBe(0);
|
||||
}, 600000);
|
||||
});
|
||||
File diff suppressed because it is too large
Load diff
|
|
@ -155,6 +155,7 @@ async function handleStreaming<TApi extends Api>(model: Model<TApi>, options?: O
|
|||
|
||||
const context: Context = {
|
||||
messages: [{ role: "user", content: "Count from 1 to 3", timestamp: Date.now() }],
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
};
|
||||
|
||||
const s = stream(model, context, options);
|
||||
|
|
@ -190,6 +191,7 @@ async function handleThinking<TApi extends Api>(model: Model<TApi>, options?: Op
|
|||
timestamp: Date.now(),
|
||||
},
|
||||
],
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
};
|
||||
|
||||
const s = stream(model, context, options);
|
||||
|
|
@ -245,6 +247,7 @@ async function handleImage<TApi extends Api>(model: Model<TApi>, options?: Optio
|
|||
timestamp: Date.now(),
|
||||
},
|
||||
],
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
};
|
||||
|
||||
const response = await complete(model, context, options);
|
||||
|
|
|
|||
|
|
@ -24,6 +24,7 @@ async function testTokensOnAbort<TApi extends Api>(llm: Model<TApi>, options: Op
|
|||
timestamp: Date.now(),
|
||||
},
|
||||
],
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
};
|
||||
|
||||
const controller = new AbortController();
|
||||
|
|
|
|||
|
|
@ -31,6 +31,7 @@ const [anthropicOAuthToken, githubCopilotToken, geminiCliToken, antigravityToken
|
|||
*/
|
||||
|
||||
async function testEmojiInToolResults<TApi extends Api>(llm: Model<TApi>, options: OptionsForApi<TApi> = {}) {
|
||||
const toolCallId = llm.provider === "mistral" ? "testtool1" : "test_1";
|
||||
// Simulate a tool that returns emoji
|
||||
const context: Context = {
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
|
|
@ -45,7 +46,7 @@ async function testEmojiInToolResults<TApi extends Api>(llm: Model<TApi>, option
|
|||
content: [
|
||||
{
|
||||
type: "toolCall",
|
||||
id: "test_1",
|
||||
id: toolCallId,
|
||||
name: "test_tool",
|
||||
arguments: {},
|
||||
},
|
||||
|
|
@ -77,7 +78,7 @@ async function testEmojiInToolResults<TApi extends Api>(llm: Model<TApi>, option
|
|||
// Add tool result with various problematic Unicode characters
|
||||
const toolResult: ToolResultMessage = {
|
||||
role: "toolResult",
|
||||
toolCallId: "test_1",
|
||||
toolCallId: toolCallId,
|
||||
toolName: "test_tool",
|
||||
content: [
|
||||
{
|
||||
|
|
@ -117,6 +118,7 @@ async function testEmojiInToolResults<TApi extends Api>(llm: Model<TApi>, option
|
|||
}
|
||||
|
||||
async function testRealWorldLinkedInData<TApi extends Api>(llm: Model<TApi>, options: OptionsForApi<TApi> = {}) {
|
||||
const toolCallId = llm.provider === "mistral" ? "linkedin1" : "linkedin_1";
|
||||
const context: Context = {
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
messages: [
|
||||
|
|
@ -130,7 +132,7 @@ async function testRealWorldLinkedInData<TApi extends Api>(llm: Model<TApi>, opt
|
|||
content: [
|
||||
{
|
||||
type: "toolCall",
|
||||
id: "linkedin_1",
|
||||
id: toolCallId,
|
||||
name: "linkedin_skill",
|
||||
arguments: {},
|
||||
},
|
||||
|
|
@ -162,7 +164,7 @@ async function testRealWorldLinkedInData<TApi extends Api>(llm: Model<TApi>, opt
|
|||
// Real-world tool result from LinkedIn with emoji
|
||||
const toolResult: ToolResultMessage = {
|
||||
role: "toolResult",
|
||||
toolCallId: "linkedin_1",
|
||||
toolCallId: toolCallId,
|
||||
toolName: "linkedin_skill",
|
||||
content: [
|
||||
{
|
||||
|
|
@ -205,6 +207,7 @@ Unanswered Comments: 2
|
|||
}
|
||||
|
||||
async function testUnpairedHighSurrogate<TApi extends Api>(llm: Model<TApi>, options: OptionsForApi<TApi> = {}) {
|
||||
const toolCallId = llm.provider === "mistral" ? "testtool2" : "test_2";
|
||||
const context: Context = {
|
||||
systemPrompt: "You are a helpful assistant.",
|
||||
messages: [
|
||||
|
|
@ -218,7 +221,7 @@ async function testUnpairedHighSurrogate<TApi extends Api>(llm: Model<TApi>, opt
|
|||
content: [
|
||||
{
|
||||
type: "toolCall",
|
||||
id: "test_2",
|
||||
id: toolCallId,
|
||||
name: "test_tool",
|
||||
arguments: {},
|
||||
},
|
||||
|
|
@ -253,7 +256,7 @@ async function testUnpairedHighSurrogate<TApi extends Api>(llm: Model<TApi>, opt
|
|||
|
||||
const toolResult: ToolResultMessage = {
|
||||
role: "toolResult",
|
||||
toolCallId: "test_2",
|
||||
toolCallId: toolCallId,
|
||||
toolName: "test_tool",
|
||||
content: [{ type: "text", text: `Text with unpaired surrogate: ${unpairedSurrogate} <- should be sanitized` }],
|
||||
isError: false,
|
||||
|
|
|
|||
|
|
@ -90,9 +90,9 @@ describe.skipIf(!API_KEY)("AgentSession forking", () => {
|
|||
// After forking, conversation should be empty (forked before the first message)
|
||||
expect(session.messages.length).toBe(0);
|
||||
|
||||
// Session file should exist (new fork)
|
||||
// Session file path should be set, but file is created lazily after first assistant message
|
||||
expect(session.sessionFile).not.toBeNull();
|
||||
expect(existsSync(session.sessionFile!)).toBe(true);
|
||||
expect(existsSync(session.sessionFile!)).toBe(false);
|
||||
});
|
||||
|
||||
it("should support in-memory forking in --no-session mode", async () => {
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue