From 3290c43bfb5e705e6b468d93480922d870c6884e Mon Sep 17 00:00:00 2001 From: Jordan Ritter Date: Wed, 15 Apr 2026 16:38:16 -0700 Subject: [PATCH 1/4] feat: response template merging with JSON auto-stringify MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add ResponseOverrides interface for overriding envelope fields (id, created, model, usage, finishReason, role, systemFingerprint) in fixture responses. Thread overrides through all 4 provider handlers (OpenAI Chat, Responses API, Claude Messages, Gemini) for both streaming and non-streaming paths. Add normalizeResponse() for auto-stringifying object-valued content and toolCalls[].arguments in fixtures — lets authors write plain JSON objects instead of escaped strings. FixtureFile* types accept relaxed input while runtime types remain strict. Type safety improvements: - Add system_fingerprint to SSEChunk/ChatCompletion types - Make type guards mutually exclusive (isTextResponse excludes toolCalls) - Narrow extractOverrides parameter type - Remove unnecessary as-casts Cross-provider consistency: - finishReason mappings: length, content_filter for all providers - Usage auto-sum: total_tokens computed from components when omitted - Reasoning support for ContentWithToolCallsResponse in all providers - webSearches warnings for unsupported providers Validation: ResponseOverrides field type checks, unknown field detection, unknown usage key detection, ContentWithToolCallsResponse validation. --- src/fixture-loader.ts | 255 +++++++++++++++++++++++++++++++++++------- src/gemini.ts | 164 +++++++++++++++++---------- src/helpers.ts | 212 +++++++++++++++++++++++++++-------- src/index.ts | 23 +++- src/llmock.ts | 14 ++- src/messages.ts | 137 +++++++++++++++++------ src/responses.ts | 121 ++++++++++++++------ src/server.ts | 37 +++++- src/types.ts | 93 +++++++++++++-- 9 files changed, 822 insertions(+), 234 deletions(-) diff --git a/src/fixture-loader.ts b/src/fixture-loader.ts index 452ce14..40d2ddb 100644 --- a/src/fixture-loader.ts +++ b/src/fixture-loader.ts @@ -1,14 +1,53 @@ import { readFileSync, readdirSync, statSync } from "node:fs"; import { join } from "node:path"; -import type { Fixture, FixtureFile, FixtureFileEntry } from "./types.js"; +import type { + Fixture, + FixtureFile, + FixtureFileEntry, + FixtureFileResponse, + FixtureResponse, + ResponseOverrides, +} from "./types.js"; import { isTextResponse, isToolCallResponse, + isContentWithToolCallsResponse, isErrorResponse, isEmbeddingResponse, + isImageResponse, + isAudioResponse, + isTranscriptionResponse, + isVideoResponse, } from "./helpers.js"; import type { Logger } from "./logger.js"; +/** + * Auto-stringify object-valued `content` and `toolCalls[].arguments` fields. + * This lets fixture authors write plain JSON objects instead of escaped strings. + * All other fields (including ResponseOverrides) pass through unmodified. + */ +export function normalizeResponse(raw: FixtureFileResponse): FixtureResponse { + // Shallow-clone so we don't mutate the parsed JSON input. + const response = { ...raw } as Record; + + // Auto-stringify object content (e.g. structured output) + if (typeof response.content === "object" && response.content !== null) { + response.content = JSON.stringify(response.content); + } + + // Auto-stringify object arguments in toolCalls + if (Array.isArray(response.toolCalls)) { + response.toolCalls = (response.toolCalls as Array>).map((tc) => { + if (typeof tc.arguments === "object" && tc.arguments !== null) { + return { ...tc, arguments: JSON.stringify(tc.arguments) }; + } + return tc; + }); + } + + return response as unknown as FixtureResponse; +} + export function entryToFixture(entry: FixtureFileEntry): Fixture { return { match: { @@ -21,7 +60,7 @@ export function entryToFixture(entry: FixtureFileEntry): Fixture { endpoint: entry.match.endpoint, ...(entry.match.sequenceIndex !== undefined && { sequenceIndex: entry.match.sequenceIndex }), }, - response: entry.response, + response: normalizeResponse(entry.response), ...(entry.latency !== undefined && { latency: entry.latency }), ...(entry.chunkSize !== undefined && { chunkSize: entry.chunkSize }), ...(entry.truncateAfterChunks !== undefined && { @@ -120,6 +159,68 @@ export interface ValidationResult { message: string; } +function validateReasoning( + response: { reasoning?: unknown }, + fixtureIndex: number, + results: ValidationResult[], +): void { + if (response.reasoning !== undefined) { + if (typeof response.reasoning !== "string") { + results.push({ + severity: "error", + fixtureIndex, + message: "reasoning must be a string", + }); + } else if (response.reasoning === "") { + results.push({ + severity: "warning", + fixtureIndex, + message: "reasoning is empty string — no reasoning events will be emitted", + }); + } + } +} + +function validateWebSearches( + response: { webSearches?: unknown }, + fixtureIndex: number, + results: ValidationResult[], +): void { + if (response.webSearches !== undefined) { + if (!Array.isArray(response.webSearches)) { + results.push({ + severity: "error", + fixtureIndex, + message: "webSearches must be an array of strings", + }); + } else if (response.webSearches.length === 0) { + results.push({ + severity: "warning", + fixtureIndex, + message: "webSearches is empty array — no web search events will be emitted", + }); + } else { + for (let j = 0; j < response.webSearches.length; j++) { + if (typeof response.webSearches[j] !== "string") { + results.push({ + severity: "error", + fixtureIndex, + message: `webSearches[${j}] is not a string`, + }); + break; + } + if (response.webSearches[j] === "") { + results.push({ + severity: "warning", + fixtureIndex, + message: `webSearches[${j}] is empty string`, + }); + } + } + } + } +} + export function validateFixtures(fixtures: Fixture[]): ValidationResult[] { const results: ValidationResult[] = []; @@ -132,17 +233,24 @@ export function validateFixtures(fixtures: Fixture[]): ValidationResult[] { // --- Error checks --- // Response type recognition + // Note: isContentWithToolCallsResponse must be checked before isTextResponse + // and isToolCallResponse since it is a structural superset of both. if ( + !isContentWithToolCallsResponse(response) && !isTextResponse(response) && !isToolCallResponse(response) && !isErrorResponse(response) && - !isEmbeddingResponse(response) + !isEmbeddingResponse(response) && + !isImageResponse(response) && + !isAudioResponse(response) && + !isTranscriptionResponse(response) && + !isVideoResponse(response) ) { results.push({ severity: "error", fixtureIndex: i, message: - "response is not a recognized type (must have content, toolCalls, error, or embedding)", + "response is not a recognized type (must have content, toolCalls, error, embedding, image, audio, transcription, or video)", }); } @@ -155,54 +263,47 @@ export function validateFixtures(fixtures: Fixture[]): ValidationResult[] { message: "content is empty string", }); } - if (response.reasoning !== undefined) { - if (typeof response.reasoning !== "string") { + validateReasoning(response, i, results); + validateWebSearches(response, i, results); + } + + // ContentWithToolCalls response checks + if (isContentWithToolCallsResponse(response)) { + if (response.content === "") { + results.push({ + severity: "error", + fixtureIndex: i, + message: "content is empty string", + }); + } + if (response.toolCalls.length === 0) { + results.push({ + severity: "warning", + fixtureIndex: i, + message: "toolCalls array is empty — fixture will never produce tool calls", + }); + } + for (let j = 0; j < response.toolCalls.length; j++) { + const tc = response.toolCalls[j]; + if (!tc.name) { results.push({ severity: "error", fixtureIndex: i, - message: "reasoning must be a string", - }); - } else if (response.reasoning === "") { - results.push({ - severity: "warning", - fixtureIndex: i, - message: "reasoning is empty string — no reasoning events will be emitted", + message: `toolCalls[${j}].name is empty`, }); } - } - if (response.webSearches !== undefined) { - if (!Array.isArray(response.webSearches)) { + try { + JSON.parse(tc.arguments); + } catch { results.push({ severity: "error", fixtureIndex: i, - message: "webSearches must be an array of strings", - }); - } else if (response.webSearches.length === 0) { - results.push({ - severity: "warning", - fixtureIndex: i, - message: "webSearches is empty array — no web search events will be emitted", + message: `toolCalls[${j}].arguments is not valid JSON: ${tc.arguments}`, }); - } else { - for (let j = 0; j < response.webSearches.length; j++) { - if (typeof response.webSearches[j] !== "string") { - results.push({ - severity: "error", - fixtureIndex: i, - message: `webSearches[${j}] is not a string`, - }); - break; - } - if (response.webSearches[j] === "") { - results.push({ - severity: "warning", - fixtureIndex: i, - message: `webSearches[${j}] is empty string`, - }); - } - } } } + validateReasoning(response, i, results); + validateWebSearches(response, i, results); } // Tool call response checks @@ -274,6 +375,78 @@ export function validateFixtures(fixtures: Fixture[]): ValidationResult[] { } } + // Validate ResponseOverrides fields + if ( + isTextResponse(response) || + isToolCallResponse(response) || + isContentWithToolCallsResponse(response) + ) { + const r = response as ResponseOverrides; + if (r.id !== undefined && typeof r.id !== "string") { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "id" must be a string, got ${typeof r.id}`, + }); + } + if (r.created !== undefined && (typeof r.created !== "number" || r.created < 0)) { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "created" must be a non-negative number`, + }); + } + if (r.model !== undefined && typeof r.model !== "string") { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "model" must be a string, got ${typeof r.model}`, + }); + } + if (r.finishReason !== undefined && typeof r.finishReason !== "string") { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "finishReason" must be a string, got ${typeof r.finishReason}`, + }); + } + if (r.role !== undefined && typeof r.role !== "string") { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "role" must be a string, got ${typeof r.role}`, + }); + } + if (r.systemFingerprint !== undefined && typeof r.systemFingerprint !== "string") { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "systemFingerprint" must be a string, got ${typeof r.systemFingerprint}`, + }); + } + if (r.usage !== undefined) { + if (typeof r.usage !== "object" || r.usage === null || Array.isArray(r.usage)) { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "usage" must be an object`, + }); + } else { + // Check all known usage fields are numbers if present + for (const key of Object.keys(r.usage)) { + const val = (r.usage as Record)[key]; + if (val !== undefined && typeof val !== "number") { + results.push({ + severity: "error", + fixtureIndex: i, + message: `override "usage.${key}" must be a number, got ${typeof val}`, + }); + } + } + } + } + } + // Numeric sanity checks if (f.latency !== undefined && f.latency < 0) { results.push({ diff --git a/src/gemini.ts b/src/gemini.ts index 3c6529d..c879a14 100644 --- a/src/gemini.ts +++ b/src/gemini.ts @@ -13,6 +13,7 @@ import type { Fixture, HandlerDefaults, RecordProviderKey, + ResponseOverrides, StreamingProfile, ToolCall, ToolDefinition, @@ -22,6 +23,7 @@ import { isToolCallResponse, isContentWithToolCallsResponse, isErrorResponse, + extractOverrides, generateToolCallId, flattenHeaders, getTestId, @@ -177,6 +179,33 @@ export function geminiToCompletionRequest( // ─── Response building: fixture → Gemini format ───────────────────────────── +function geminiFinishReason(finishReason: string | undefined, defaultReason: string): string { + if (!finishReason) return defaultReason; + if (finishReason === "stop") return "STOP"; + if (finishReason === "tool_calls") return "FUNCTION_CALL"; + if (finishReason === "length") return "MAX_TOKENS"; + if (finishReason === "content_filter") return "SAFETY"; + // Pass through unrecognized values as-is + return finishReason; +} + +function geminiUsageMetadata(overrides?: ResponseOverrides): { + promptTokenCount: number; + candidatesTokenCount: number; + totalTokenCount: number; +} { + if (!overrides?.usage) + return { promptTokenCount: 0, candidatesTokenCount: 0, totalTokenCount: 0 }; + const prompt = overrides.usage.promptTokenCount ?? 0; + const candidates = overrides.usage.candidatesTokenCount ?? 0; + const total = overrides.usage.totalTokenCount ?? prompt + candidates; + return { + promptTokenCount: prompt, + candidatesTokenCount: candidates, + totalTokenCount: total, + }; +} + interface GeminiResponseChunk { candidates: { content: { role: string; parts: GeminiPart[] }; @@ -194,8 +223,11 @@ function buildGeminiTextStreamChunks( content: string, chunkSize: number, reasoning?: string, + overrides?: ResponseOverrides, ): GeminiResponseChunk[] { const chunks: GeminiResponseChunk[] = []; + const effectiveFinish = geminiFinishReason(overrides?.finishReason, "STOP"); + const usage = geminiUsageMetadata(overrides); // Reasoning chunks (thought: true) if (reasoning) { @@ -212,7 +244,7 @@ function buildGeminiTextStreamChunks( } } - // Content chunks (original logic unchanged) + // Content chunks for (let i = 0; i < content.length; i += chunkSize) { const slice = content.slice(i, i + chunkSize); const isLast = i + chunkSize >= content.length; @@ -221,37 +253,25 @@ function buildGeminiTextStreamChunks( { content: { role: "model", parts: [{ text: slice }] }, index: 0, - ...(isLast ? { finishReason: "STOP" } : {}), + ...(isLast ? { finishReason: effectiveFinish } : {}), }, ], - ...(isLast - ? { - usageMetadata: { - promptTokenCount: 0, - candidatesTokenCount: 0, - totalTokenCount: 0, - }, - } - : {}), + ...(isLast ? { usageMetadata: usage } : {}), }; chunks.push(chunk); } - // Handle empty content (original logic unchanged) + // Handle empty content if (content.length === 0) { chunks.push({ candidates: [ { content: { role: "model", parts: [{ text: "" }] }, - finishReason: "STOP", + finishReason: effectiveFinish, index: 0, }, ], - usageMetadata: { - promptTokenCount: 0, - candidatesTokenCount: 0, - totalTokenCount: 0, - }, + usageMetadata: usage, }); } @@ -272,6 +292,7 @@ function parseToolCallPart(tc: ToolCall, logger: Logger): GeminiPart { function buildGeminiToolCallStreamChunks( toolCalls: ToolCall[], logger: Logger, + overrides?: ResponseOverrides, ): GeminiResponseChunk[] { const parts: GeminiPart[] = toolCalls.map((tc) => parseToolCallPart(tc, logger)); @@ -281,22 +302,22 @@ function buildGeminiToolCallStreamChunks( candidates: [ { content: { role: "model", parts }, - finishReason: "FUNCTION_CALL", + finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"), index: 0, }, ], - usageMetadata: { - promptTokenCount: 0, - candidatesTokenCount: 0, - totalTokenCount: 0, - }, + usageMetadata: geminiUsageMetadata(overrides), }, ]; } // Non-streaming response builders -function buildGeminiTextResponse(content: string, reasoning?: string): GeminiResponseChunk { +function buildGeminiTextResponse( + content: string, + reasoning?: string, + overrides?: ResponseOverrides, +): GeminiResponseChunk { const parts: GeminiPart[] = []; if (reasoning) { parts.push({ text: reasoning, thought: true }); @@ -307,34 +328,30 @@ function buildGeminiTextResponse(content: string, reasoning?: string): GeminiRes candidates: [ { content: { role: "model", parts }, - finishReason: "STOP", + finishReason: geminiFinishReason(overrides?.finishReason, "STOP"), index: 0, }, ], - usageMetadata: { - promptTokenCount: 0, - candidatesTokenCount: 0, - totalTokenCount: 0, - }, + usageMetadata: geminiUsageMetadata(overrides), }; } -function buildGeminiToolCallResponse(toolCalls: ToolCall[], logger: Logger): GeminiResponseChunk { +function buildGeminiToolCallResponse( + toolCalls: ToolCall[], + logger: Logger, + overrides?: ResponseOverrides, +): GeminiResponseChunk { const parts: GeminiPart[] = toolCalls.map((tc) => parseToolCallPart(tc, logger)); return { candidates: [ { content: { role: "model", parts }, - finishReason: "FUNCTION_CALL", + finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"), index: 0, }, ], - usageMetadata: { - promptTokenCount: 0, - candidatesTokenCount: 0, - totalTokenCount: 0, - }, + usageMetadata: geminiUsageMetadata(overrides), }; } @@ -343,9 +360,26 @@ function buildGeminiContentWithToolCallsStreamChunks( toolCalls: ToolCall[], chunkSize: number, logger: Logger, + reasoning?: string, + overrides?: ResponseOverrides, ): GeminiResponseChunk[] { const chunks: GeminiResponseChunk[] = []; + // Reasoning chunks (thought: true) + if (reasoning) { + for (let i = 0; i < reasoning.length; i += chunkSize) { + const slice = reasoning.slice(i, i + chunkSize); + chunks.push({ + candidates: [ + { + content: { role: "model", parts: [{ text: slice, thought: true }] }, + index: 0, + }, + ], + }); + } + } + if (content.length === 0) { chunks.push({ candidates: [ @@ -375,15 +409,11 @@ function buildGeminiContentWithToolCallsStreamChunks( candidates: [ { content: { role: "model", parts }, - finishReason: "FUNCTION_CALL", + finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"), index: 0, }, ], - usageMetadata: { - promptTokenCount: 0, - candidatesTokenCount: 0, - totalTokenCount: 0, - }, + usageMetadata: geminiUsageMetadata(overrides), }); return chunks; @@ -393,25 +423,25 @@ function buildGeminiContentWithToolCallsResponse( content: string, toolCalls: ToolCall[], logger: Logger, + reasoning?: string, + overrides?: ResponseOverrides, ): GeminiResponseChunk { - const parts: GeminiPart[] = [ - { text: content }, - ...toolCalls.map((tc) => parseToolCallPart(tc, logger)), - ]; + const parts: GeminiPart[] = []; + if (reasoning) { + parts.push({ text: reasoning, thought: true }); + } + parts.push({ text: content }); + parts.push(...toolCalls.map((tc) => parseToolCallPart(tc, logger))); return { candidates: [ { content: { role: "model", parts }, - finishReason: "FUNCTION_CALL", + finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"), index: 0, }, ], - usageMetadata: { - promptTokenCount: 0, - candidatesTokenCount: 0, - totalTokenCount: 0, - }, + usageMetadata: geminiUsageMetadata(overrides), }; } @@ -617,6 +647,10 @@ export async function handleGemini( // Content + tool calls response (must be checked before isTextResponse / isToolCallResponse) if (isContentWithToolCallsResponse(response)) { + if (response.webSearches?.length) { + logger.warn("webSearches in fixture response are not supported for Gemini API — ignoring"); + } + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path, @@ -629,6 +663,8 @@ export async function handleGemini( response.content, response.toolCalls, logger, + response.reasoning, + overrides, ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); @@ -638,6 +674,8 @@ export async function handleGemini( response.toolCalls, chunkSize, logger, + response.reasoning, + overrides, ); const interruption = createInterruptionSignal(fixture); const completed = await writeGeminiSSEStream(res, chunks, { @@ -658,6 +696,10 @@ export async function handleGemini( // Text response if (isTextResponse(response)) { + if (response.webSearches?.length) { + logger.warn("webSearches in fixture response are not supported for Gemini API — ignoring"); + } + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path, @@ -666,11 +708,16 @@ export async function handleGemini( response: { status: 200, fixture }, }); if (!streaming) { - const body = buildGeminiTextResponse(response.content, response.reasoning); + const body = buildGeminiTextResponse(response.content, response.reasoning, overrides); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); } else { - const chunks = buildGeminiTextStreamChunks(response.content, chunkSize, response.reasoning); + const chunks = buildGeminiTextStreamChunks( + response.content, + chunkSize, + response.reasoning, + overrides, + ); const interruption = createInterruptionSignal(fixture); const completed = await writeGeminiSSEStream(res, chunks, { latency, @@ -690,6 +737,7 @@ export async function handleGemini( // Tool call response if (isToolCallResponse(response)) { + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path, @@ -698,11 +746,11 @@ export async function handleGemini( response: { status: 200, fixture }, }); if (!streaming) { - const body = buildGeminiToolCallResponse(response.toolCalls, logger); + const body = buildGeminiToolCallResponse(response.toolCalls, logger, overrides); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); } else { - const chunks = buildGeminiToolCallStreamChunks(response.toolCalls, logger); + const chunks = buildGeminiToolCallStreamChunks(response.toolCalls, logger, overrides); const interruption = createInterruptionSignal(fixture); const completed = await writeGeminiSSEStream(res, chunks, { latency, diff --git a/src/helpers.ts b/src/helpers.ts index 325ac11..799902f 100644 --- a/src/helpers.ts +++ b/src/helpers.ts @@ -14,6 +14,7 @@ import type { SSEChunk, ToolCall, ChatCompletion, + ResponseOverrides, } from "./types.js"; const REDACTED_HEADERS = new Set(["authorization", "x-api-key", "api-key"]); @@ -48,11 +49,15 @@ export function generateToolUseId(): string { } export function isTextResponse(r: FixtureResponse): r is TextResponse { - return "content" in r && typeof (r as TextResponse).content === "string"; + return "content" in r && typeof (r as TextResponse).content === "string" && !("toolCalls" in r); } export function isToolCallResponse(r: FixtureResponse): r is ToolCallResponse { - return "toolCalls" in r && Array.isArray((r as ToolCallResponse).toolCalls); + return ( + "toolCalls" in r && + Array.isArray((r as ToolCallResponse).toolCalls) && + !("content" in r && typeof (r as unknown as Record).content === "string") + ); } export function isContentWithToolCallsResponse( @@ -105,15 +110,33 @@ export function isVideoResponse(r: FixtureResponse): r is VideoResponse { ); } +export function extractOverrides( + response: TextResponse | ToolCallResponse | ContentWithToolCallsResponse, +): ResponseOverrides { + const r = response; + return { + ...(r.id !== undefined && { id: r.id }), + ...(r.created !== undefined && { created: r.created }), + ...(r.model !== undefined && { model: r.model }), + ...(r.usage !== undefined && { usage: r.usage }), + ...(r.systemFingerprint !== undefined && { systemFingerprint: r.systemFingerprint }), + ...(r.finishReason !== undefined && { finishReason: r.finishReason }), + ...(r.role !== undefined && { role: r.role }), + }; +} + export function buildTextChunks( content: string, model: string, chunkSize: number, reasoning?: string, + overrides?: ResponseOverrides, ): SSEChunk[] { - const id = generateId(); - const created = Math.floor(Date.now() / 1000); + const id = overrides?.id ?? generateId(); + const created = overrides?.created ?? Math.floor(Date.now() / 1000); + const effectiveModel = overrides?.model ?? model; const chunks: SSEChunk[] = []; + const fingerprint = overrides?.systemFingerprint; // Reasoning chunks (emitted before content, OpenRouter format) if (reasoning) { @@ -123,8 +146,9 @@ export function buildTextChunks( id, object: "chat.completion.chunk", created, - model, + model: effectiveModel, choices: [{ index: 0, delta: { reasoning_content: slice }, finish_reason: null }], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); } } @@ -134,8 +158,15 @@ export function buildTextChunks( id, object: "chat.completion.chunk", created, - model, - choices: [{ index: 0, delta: { role: "assistant", content: "" }, finish_reason: null }], + model: effectiveModel, + choices: [ + { + index: 0, + delta: { role: overrides?.role ?? "assistant", content: "" }, + finish_reason: null, + }, + ], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); // Content chunks @@ -145,8 +176,9 @@ export function buildTextChunks( id, object: "chat.completion.chunk", created, - model, + model: effectiveModel, choices: [{ index: 0, delta: { content: slice }, finish_reason: null }], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); } @@ -155,8 +187,9 @@ export function buildTextChunks( id, object: "chat.completion.chunk", created, - model, - choices: [{ index: 0, delta: {}, finish_reason: "stop" }], + model: effectiveModel, + choices: [{ index: 0, delta: {}, finish_reason: overrides?.finishReason ?? "stop" }], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); return chunks; @@ -166,18 +199,28 @@ export function buildToolCallChunks( toolCalls: ToolCall[], model: string, chunkSize: number, + overrides?: ResponseOverrides, ): SSEChunk[] { - const id = generateId(); - const created = Math.floor(Date.now() / 1000); + const id = overrides?.id ?? generateId(); + const created = overrides?.created ?? Math.floor(Date.now() / 1000); + const effectiveModel = overrides?.model ?? model; const chunks: SSEChunk[] = []; + const fingerprint = overrides?.systemFingerprint; // Role chunk chunks.push({ id, object: "chat.completion.chunk", created, - model, - choices: [{ index: 0, delta: { role: "assistant", content: null }, finish_reason: null }], + model: effectiveModel, + choices: [ + { + index: 0, + delta: { role: overrides?.role ?? "assistant", content: null }, + finish_reason: null, + }, + ], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); // Tool call chunks — one initial chunk per tool call, then argument chunks @@ -190,7 +233,7 @@ export function buildToolCallChunks( id, object: "chat.completion.chunk", created, - model, + model: effectiveModel, choices: [ { index: 0, @@ -207,6 +250,7 @@ export function buildToolCallChunks( finish_reason: null, }, ], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); // Argument streaming chunks @@ -217,7 +261,7 @@ export function buildToolCallChunks( id, object: "chat.completion.chunk", created, - model, + model: effectiveModel, choices: [ { index: 0, @@ -227,6 +271,7 @@ export function buildToolCallChunks( finish_reason: null, }, ], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); } } @@ -236,8 +281,9 @@ export function buildToolCallChunks( id, object: "chat.completion.chunk", created, - model, - choices: [{ index: 0, delta: {}, finish_reason: "tool_calls" }], + model: effectiveModel, + choices: [{ index: 0, delta: {}, finish_reason: overrides?.finishReason ?? "tool_calls" }], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); return chunks; @@ -249,39 +295,57 @@ export function buildTextCompletion( content: string, model: string, reasoning?: string, + overrides?: ResponseOverrides, ): ChatCompletion { + const defaultUsage = { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 }; return { - id: generateId(), + id: overrides?.id ?? generateId(), object: "chat.completion", - created: Math.floor(Date.now() / 1000), - model, + created: overrides?.created ?? Math.floor(Date.now() / 1000), + model: overrides?.model ?? model, choices: [ { index: 0, message: { - role: "assistant", + role: overrides?.role ?? "assistant", content, refusal: null, ...(reasoning ? { reasoning_content: reasoning } : {}), }, - finish_reason: "stop", + finish_reason: overrides?.finishReason ?? "stop", }, ], - usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 }, + usage: overrides?.usage + ? { + prompt_tokens: overrides.usage.prompt_tokens ?? defaultUsage.prompt_tokens, + completion_tokens: overrides.usage.completion_tokens ?? defaultUsage.completion_tokens, + total_tokens: + overrides.usage.total_tokens ?? + (overrides.usage.prompt_tokens ?? 0) + (overrides.usage.completion_tokens ?? 0), + } + : defaultUsage, + ...(overrides?.systemFingerprint !== undefined && { + system_fingerprint: overrides.systemFingerprint, + }), }; } -export function buildToolCallCompletion(toolCalls: ToolCall[], model: string): ChatCompletion { +export function buildToolCallCompletion( + toolCalls: ToolCall[], + model: string, + overrides?: ResponseOverrides, +): ChatCompletion { + const defaultUsage = { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 }; return { - id: generateId(), + id: overrides?.id ?? generateId(), object: "chat.completion", - created: Math.floor(Date.now() / 1000), - model, + created: overrides?.created ?? Math.floor(Date.now() / 1000), + model: overrides?.model ?? model, choices: [ { index: 0, message: { - role: "assistant", + role: overrides?.role ?? "assistant", content: null, refusal: null, tool_calls: toolCalls.map((tc) => ({ @@ -290,10 +354,21 @@ export function buildToolCallCompletion(toolCalls: ToolCall[], model: string): C function: { name: tc.name, arguments: tc.arguments }, })), }, - finish_reason: "tool_calls", + finish_reason: overrides?.finishReason ?? "tool_calls", }, ], - usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 }, + usage: overrides?.usage + ? { + prompt_tokens: overrides.usage.prompt_tokens ?? defaultUsage.prompt_tokens, + completion_tokens: overrides.usage.completion_tokens ?? defaultUsage.completion_tokens, + total_tokens: + overrides.usage.total_tokens ?? + (overrides.usage.prompt_tokens ?? 0) + (overrides.usage.completion_tokens ?? 0), + } + : defaultUsage, + ...(overrides?.systemFingerprint !== undefined && { + system_fingerprint: overrides.systemFingerprint, + }), }; } @@ -302,18 +377,44 @@ export function buildContentWithToolCallsChunks( toolCalls: ToolCall[], model: string, chunkSize: number, + reasoning?: string, + overrides?: ResponseOverrides, ): SSEChunk[] { - const id = generateId(); - const created = Math.floor(Date.now() / 1000); + const id = overrides?.id ?? generateId(); + const created = overrides?.created ?? Math.floor(Date.now() / 1000); + const effectiveModel = overrides?.model ?? model; const chunks: SSEChunk[] = []; + const fingerprint = overrides?.systemFingerprint; + + // Reasoning chunks (emitted before content, OpenRouter format) + if (reasoning) { + for (let i = 0; i < reasoning.length; i += chunkSize) { + const slice = reasoning.slice(i, i + chunkSize); + chunks.push({ + id, + object: "chat.completion.chunk", + created, + model: effectiveModel, + choices: [{ index: 0, delta: { reasoning_content: slice }, finish_reason: null }], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), + }); + } + } // Role chunk chunks.push({ id, object: "chat.completion.chunk", created, - model, - choices: [{ index: 0, delta: { role: "assistant", content: "" }, finish_reason: null }], + model: effectiveModel, + choices: [ + { + index: 0, + delta: { role: overrides?.role ?? "assistant", content: "" }, + finish_reason: null, + }, + ], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); // Content chunks @@ -323,8 +424,9 @@ export function buildContentWithToolCallsChunks( id, object: "chat.completion.chunk", created, - model, + model: effectiveModel, choices: [{ index: 0, delta: { content: slice }, finish_reason: null }], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); } @@ -338,7 +440,7 @@ export function buildContentWithToolCallsChunks( id, object: "chat.completion.chunk", created, - model, + model: effectiveModel, choices: [ { index: 0, @@ -355,6 +457,7 @@ export function buildContentWithToolCallsChunks( finish_reason: null, }, ], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); // Argument streaming chunks @@ -365,7 +468,7 @@ export function buildContentWithToolCallsChunks( id, object: "chat.completion.chunk", created, - model, + model: effectiveModel, choices: [ { index: 0, @@ -375,6 +478,7 @@ export function buildContentWithToolCallsChunks( finish_reason: null, }, ], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); } } @@ -384,8 +488,9 @@ export function buildContentWithToolCallsChunks( id, object: "chat.completion.chunk", created, - model, - choices: [{ index: 0, delta: {}, finish_reason: "tool_calls" }], + model: effectiveModel, + choices: [{ index: 0, delta: {}, finish_reason: overrides?.finishReason ?? "tool_calls" }], + ...(fingerprint !== undefined && { system_fingerprint: fingerprint }), }); return chunks; @@ -395,29 +500,44 @@ export function buildContentWithToolCallsCompletion( content: string, toolCalls: ToolCall[], model: string, + reasoning?: string, + overrides?: ResponseOverrides, ): ChatCompletion { + const defaultUsage = { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 }; return { - id: generateId(), + id: overrides?.id ?? generateId(), object: "chat.completion", - created: Math.floor(Date.now() / 1000), - model, + created: overrides?.created ?? Math.floor(Date.now() / 1000), + model: overrides?.model ?? model, choices: [ { index: 0, message: { - role: "assistant", + role: overrides?.role ?? "assistant", content, refusal: null, + ...(reasoning ? { reasoning_content: reasoning } : {}), tool_calls: toolCalls.map((tc) => ({ id: tc.id || generateToolCallId(), type: "function" as const, function: { name: tc.name, arguments: tc.arguments }, })), }, - finish_reason: "tool_calls", + finish_reason: overrides?.finishReason ?? "tool_calls", }, ], - usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 }, + usage: overrides?.usage + ? { + prompt_tokens: overrides.usage.prompt_tokens ?? defaultUsage.prompt_tokens, + completion_tokens: overrides.usage.completion_tokens ?? defaultUsage.completion_tokens, + total_tokens: + overrides.usage.total_tokens ?? + (overrides.usage.prompt_tokens ?? 0) + (overrides.usage.completion_tokens ?? 0), + } + : defaultUsage, + ...(overrides?.systemFingerprint !== undefined && { + system_fingerprint: overrides.systemFingerprint, + }), }; } diff --git a/src/index.ts b/src/index.ts index 4cb0cfb..e69602d 100644 --- a/src/index.ts +++ b/src/index.ts @@ -5,7 +5,12 @@ export { LLMock } from "./llmock.js"; export { createServer, type ServerInstance } from "./server.js"; // Fixture loading -export { loadFixtureFile, loadFixturesFromDir, validateFixtures } from "./fixture-loader.js"; +export { + loadFixtureFile, + loadFixturesFromDir, + validateFixtures, + normalizeResponse, +} from "./fixture-loader.js"; export type { ValidationResult } from "./fixture-loader.js"; // Logger @@ -85,6 +90,15 @@ export { generateToolUseId, buildTextChunks, buildToolCallChunks, + buildContentWithToolCallsChunks, + buildTextCompletion, + buildToolCallCompletion, + buildContentWithToolCallsCompletion, + extractOverrides, + isTextResponse, + isToolCallResponse, + isContentWithToolCallsResponse, + isErrorResponse, isEmbeddingResponse, isImageResponse, isAudioResponse, @@ -265,4 +279,11 @@ export type { AudioResponse, TranscriptionResponse, VideoResponse, + ResponseOverrides, + ContentWithToolCallsResponse, + FixtureFileResponse, + FixtureFileToolCall, + FixtureFileTextResponse, + FixtureFileToolCallResponse, + FixtureFileContentWithToolCallsResponse, } from "./types.js"; diff --git a/src/llmock.ts b/src/llmock.ts index 973be71..a5c8dac 100644 --- a/src/llmock.ts +++ b/src/llmock.ts @@ -4,6 +4,7 @@ import type { EmbeddingFixtureOpts, Fixture, FixtureFileEntry, + FixtureFileResponse, FixtureMatch, FixtureOpts, FixtureResponse, @@ -19,6 +20,7 @@ import { loadFixtureFile, loadFixturesFromDir, entryToFixture, + normalizeResponse, validateFixtures, } from "./fixture-loader.js"; import { Journal } from "./journal.js"; @@ -95,21 +97,21 @@ export class LLMock { // ---- Convenience ---- - on(match: FixtureMatch, response: FixtureResponse, opts?: FixtureOpts): this { + on(match: FixtureMatch, response: FixtureFileResponse, opts?: FixtureOpts): this { return this.addFixture({ match, - response, + response: normalizeResponse(response), ...opts, }); } - onMessage(pattern: string | RegExp, response: FixtureResponse, opts?: FixtureOpts): this { + onMessage(pattern: string | RegExp, response: FixtureFileResponse, opts?: FixtureOpts): this { return this.on({ userMessage: pattern }, response, opts); } onEmbedding( pattern: string | RegExp, - response: FixtureResponse, + response: FixtureFileResponse, opts?: EmbeddingFixtureOpts, ): this { return this.on({ inputText: pattern }, response, opts); @@ -120,11 +122,11 @@ export class LLMock { return this.on({ userMessage: pattern, responseFormat: "json_object" }, { content }, opts); } - onToolCall(name: string, response: FixtureResponse, opts?: FixtureOpts): this { + onToolCall(name: string, response: FixtureFileResponse, opts?: FixtureOpts): this { return this.on({ toolName: name }, response, opts); } - onToolResult(id: string, response: FixtureResponse, opts?: FixtureOpts): this { + onToolResult(id: string, response: FixtureFileResponse, opts?: FixtureOpts): this { return this.on({ toolCallId: id }, response, opts); } diff --git a/src/messages.ts b/src/messages.ts index c58d85a..0ed2e91 100644 --- a/src/messages.ts +++ b/src/messages.ts @@ -12,6 +12,7 @@ import type { ChatMessage, Fixture, HandlerDefaults, + ResponseOverrides, StreamingProfile, ToolCall, ToolDefinition, @@ -19,6 +20,7 @@ import type { import { generateMessageId, generateToolUseId, + extractOverrides, isTextResponse, isToolCallResponse, isContentWithToolCallsResponse, @@ -191,6 +193,25 @@ export function claudeToCompletionRequest(req: ClaudeRequest): ChatCompletionReq // ─── Response building: fixture → Claude Messages API format ──────────────── +function claudeStopReason(finishReason: string | undefined, defaultReason: string): string { + if (!finishReason) return defaultReason; + if (finishReason === "stop") return "end_turn"; + if (finishReason === "tool_calls") return "tool_use"; + if (finishReason === "length") return "max_tokens"; + return finishReason; +} + +function claudeUsage(overrides?: ResponseOverrides): { + input_tokens: number; + output_tokens: number; +} { + if (!overrides?.usage) return { input_tokens: 0, output_tokens: 0 }; + return { + input_tokens: overrides.usage.input_tokens ?? 0, + output_tokens: overrides.usage.output_tokens ?? 0, + }; +} + interface ClaudeSSEEvent { type: string; [key: string]: unknown; @@ -201,8 +222,10 @@ function buildClaudeTextStreamEvents( model: string, chunkSize: number, reasoning?: string, + overrides?: ResponseOverrides, ): ClaudeSSEEvent[] { - const msgId = generateMessageId(); + const msgId = overrides?.id ?? generateMessageId(); + const effectiveModel = overrides?.model ?? model; const events: ClaudeSSEEvent[] = []; // message_start @@ -211,12 +234,12 @@ function buildClaudeTextStreamEvents( message: { id: msgId, type: "message", - role: "assistant", + role: overrides?.role ?? "assistant", content: [], - model, + model: effectiveModel, stop_reason: null, stop_sequence: null, - usage: { input_tokens: 0, output_tokens: 0 }, + usage: claudeUsage(overrides), }, }); @@ -273,8 +296,11 @@ function buildClaudeTextStreamEvents( // message_delta events.push({ type: "message_delta", - delta: { stop_reason: "end_turn", stop_sequence: null }, - usage: { output_tokens: 0 }, + delta: { + stop_reason: claudeStopReason(overrides?.finishReason, "end_turn"), + stop_sequence: null, + }, + usage: { output_tokens: claudeUsage(overrides).output_tokens }, }); // message_stop @@ -288,8 +314,10 @@ function buildClaudeToolCallStreamEvents( model: string, chunkSize: number, logger: Logger, + overrides?: ResponseOverrides, ): ClaudeSSEEvent[] { - const msgId = generateMessageId(); + const msgId = overrides?.id ?? generateMessageId(); + const effectiveModel = overrides?.model ?? model; const events: ClaudeSSEEvent[] = []; // message_start @@ -298,12 +326,12 @@ function buildClaudeToolCallStreamEvents( message: { id: msgId, type: "message", - role: "assistant", + role: overrides?.role ?? "assistant", content: [], - model, + model: effectiveModel, stop_reason: null, stop_sequence: null, - usage: { input_tokens: 0, output_tokens: 0 }, + usage: claudeUsage(overrides), }, }); @@ -355,8 +383,11 @@ function buildClaudeToolCallStreamEvents( // message_delta events.push({ type: "message_delta", - delta: { stop_reason: "tool_use", stop_sequence: null }, - usage: { output_tokens: 0 }, + delta: { + stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"), + stop_sequence: null, + }, + usage: { output_tokens: claudeUsage(overrides).output_tokens }, }); // message_stop @@ -367,7 +398,12 @@ function buildClaudeToolCallStreamEvents( // Non-streaming response builders -function buildClaudeTextResponse(content: string, model: string, reasoning?: string): object { +function buildClaudeTextResponse( + content: string, + model: string, + reasoning?: string, + overrides?: ResponseOverrides, +): object { const contentBlocks: object[] = []; if (reasoning) { @@ -377,22 +413,27 @@ function buildClaudeTextResponse(content: string, model: string, reasoning?: str contentBlocks.push({ type: "text", text: content }); return { - id: generateMessageId(), + id: overrides?.id ?? generateMessageId(), type: "message", - role: "assistant", + role: overrides?.role ?? "assistant", content: contentBlocks, - model, - stop_reason: "end_turn", + model: overrides?.model ?? model, + stop_reason: claudeStopReason(overrides?.finishReason, "end_turn"), stop_sequence: null, - usage: { input_tokens: 0, output_tokens: 0 }, + usage: claudeUsage(overrides), }; } -function buildClaudeToolCallResponse(toolCalls: ToolCall[], model: string, logger: Logger): object { +function buildClaudeToolCallResponse( + toolCalls: ToolCall[], + model: string, + logger: Logger, + overrides?: ResponseOverrides, +): object { return { - id: generateMessageId(), + id: overrides?.id ?? generateMessageId(), type: "message", - role: "assistant", + role: overrides?.role ?? "assistant", content: toolCalls.map((tc) => { let argsObj: unknown; try { @@ -410,10 +451,10 @@ function buildClaudeToolCallResponse(toolCalls: ToolCall[], model: string, logge input: argsObj, }; }), - model, - stop_reason: "tool_use", + model: overrides?.model ?? model, + stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"), stop_sequence: null, - usage: { input_tokens: 0, output_tokens: 0 }, + usage: claudeUsage(overrides), }; } @@ -424,8 +465,10 @@ function buildClaudeContentWithToolCallsStreamEvents( chunkSize: number, logger: Logger, reasoning?: string, + overrides?: ResponseOverrides, ): ClaudeSSEEvent[] { - const msgId = generateMessageId(); + const msgId = overrides?.id ?? generateMessageId(); + const effectiveModel = overrides?.model ?? model; const events: ClaudeSSEEvent[] = []; // message_start @@ -434,12 +477,12 @@ function buildClaudeContentWithToolCallsStreamEvents( message: { id: msgId, type: "message", - role: "assistant", + role: overrides?.role ?? "assistant", content: [], - model, + model: effectiveModel, stop_reason: null, stop_sequence: null, - usage: { input_tokens: 0, output_tokens: 0 }, + usage: claudeUsage(overrides), }, }); @@ -539,8 +582,11 @@ function buildClaudeContentWithToolCallsStreamEvents( // message_delta events.push({ type: "message_delta", - delta: { stop_reason: "tool_use", stop_sequence: null }, - usage: { output_tokens: 0 }, + delta: { + stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"), + stop_sequence: null, + }, + usage: { output_tokens: claudeUsage(overrides).output_tokens }, }); // message_stop @@ -555,6 +601,7 @@ function buildClaudeContentWithToolCallsResponse( model: string, logger: Logger, reasoning?: string, + overrides?: ResponseOverrides, ): object { const contentBlocks: object[] = []; @@ -583,14 +630,14 @@ function buildClaudeContentWithToolCallsResponse( } return { - id: generateMessageId(), + id: overrides?.id ?? generateMessageId(), type: "message", - role: "assistant", + role: overrides?.role ?? "assistant", content: contentBlocks, - model, - stop_reason: "tool_use", + model: overrides?.model ?? model, + stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"), stop_sequence: null, - usage: { input_tokens: 0, output_tokens: 0 }, + usage: claudeUsage(overrides), }; } @@ -791,6 +838,12 @@ export async function handleMessages( // Content + tool calls response (must be checked before text/tool-only branches) if (isContentWithToolCallsResponse(response)) { + if (response.webSearches?.length) { + logger.warn( + "webSearches in fixture response are not supported for Claude Messages API — ignoring", + ); + } + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? "/v1/messages", @@ -805,6 +858,7 @@ export async function handleMessages( completionReq.model, logger, response.reasoning, + overrides, ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); @@ -816,6 +870,7 @@ export async function handleMessages( chunkSize, logger, response.reasoning, + overrides, ); const interruption = createInterruptionSignal(fixture); const completed = await writeClaudeSSEStream(res, events, { @@ -841,6 +896,7 @@ export async function handleMessages( "webSearches in fixture response are not supported for Claude Messages API — ignoring", ); } + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? "/v1/messages", @@ -853,6 +909,7 @@ export async function handleMessages( response.content, completionReq.model, response.reasoning, + overrides, ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); @@ -862,6 +919,7 @@ export async function handleMessages( completionReq.model, chunkSize, response.reasoning, + overrides, ); const interruption = createInterruptionSignal(fixture); const completed = await writeClaudeSSEStream(res, events, { @@ -882,6 +940,7 @@ export async function handleMessages( // Tool call response if (isToolCallResponse(response)) { + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? "/v1/messages", @@ -890,7 +949,12 @@ export async function handleMessages( response: { status: 200, fixture }, }); if (claudeReq.stream !== true) { - const body = buildClaudeToolCallResponse(response.toolCalls, completionReq.model, logger); + const body = buildClaudeToolCallResponse( + response.toolCalls, + completionReq.model, + logger, + overrides, + ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); } else { @@ -899,6 +963,7 @@ export async function handleMessages( completionReq.model, chunkSize, logger, + overrides, ); const interruption = createInterruptionSignal(fixture); const completed = await writeClaudeSSEStream(res, events, { diff --git a/src/responses.ts b/src/responses.ts index 7d6946e..72f6ec5 100644 --- a/src/responses.ts +++ b/src/responses.ts @@ -12,6 +12,7 @@ import type { ChatMessage, Fixture, HandlerDefaults, + ResponseOverrides, StreamingProfile, ToolCall, ToolDefinition, @@ -19,6 +20,7 @@ import type { import { generateId, generateToolCallId, + extractOverrides, isTextResponse, isToolCallResponse, isContentWithToolCallsResponse, @@ -148,6 +150,30 @@ export function responsesToCompletionRequest(req: ResponsesRequest): ChatComplet // ─── Response building: fixture → Responses API format ────────────────────── +function responsesStatus(finishReason: string | undefined, defaultStatus: string): string { + if (!finishReason) return defaultStatus; + if (finishReason === "stop") return "completed"; + if (finishReason === "tool_calls") return "completed"; + if (finishReason === "length") return "incomplete"; + if (finishReason === "content_filter") return "failed"; + return finishReason; +} + +function responsesUsage(overrides?: ResponseOverrides): { + input_tokens: number; + output_tokens: number; + total_tokens: number; +} { + if (!overrides?.usage) return { input_tokens: 0, output_tokens: 0, total_tokens: 0 }; + return { + input_tokens: overrides.usage.input_tokens ?? 0, + output_tokens: overrides.usage.output_tokens ?? 0, + total_tokens: + overrides.usage.total_tokens ?? + (overrides.usage.input_tokens ?? 0) + (overrides.usage.output_tokens ?? 0), + }; +} + function responseId(): string { return generateId("resp"); } @@ -169,12 +195,14 @@ export function buildTextStreamEvents( chunkSize: number, reasoning?: string, webSearches?: string[], + overrides?: ResponseOverrides, ): ResponsesSSEEvent[] { const { respId, created, events, prefixOutputItems, nextOutputIndex } = buildResponsePreamble( model, chunkSize, reasoning, webSearches, + overrides, ); const { events: msgEvents, msgItem } = buildMessageOutputEvents( @@ -190,10 +218,10 @@ export function buildTextStreamEvents( id: respId, object: "response", created_at: created, - model, - status: "completed", + model: overrides?.model ?? model, + status: responsesStatus(overrides?.finishReason, "completed"), output: [...prefixOutputItems, msgItem], - usage: { input_tokens: 0, output_tokens: 0, total_tokens: 0 }, + usage: responsesUsage(overrides), }, }); @@ -204,9 +232,11 @@ export function buildToolCallStreamEvents( toolCalls: ToolCall[], model: string, chunkSize: number, + overrides?: ResponseOverrides, ): ResponsesSSEEvent[] { - const respId = responseId(); - const created = Math.floor(Date.now() / 1000); + const respId = overrides?.id ?? responseId(); + const created = overrides?.created ?? Math.floor(Date.now() / 1000); + const effectiveModel = overrides?.model ?? model; const events: ResponsesSSEEvent[] = []; // response.created @@ -216,7 +246,7 @@ export function buildToolCallStreamEvents( id: respId, object: "response", created_at: created, - model, + model: effectiveModel, status: "in_progress", output: [], }, @@ -228,7 +258,7 @@ export function buildToolCallStreamEvents( id: respId, object: "response", created_at: created, - model, + model: effectiveModel, status: "in_progress", output: [], }, @@ -300,14 +330,10 @@ export function buildToolCallStreamEvents( id: respId, object: "response", created_at: created, - model, - status: "completed", + model: effectiveModel, + status: responsesStatus(overrides?.finishReason, "completed"), output: outputItems, - usage: { - input_tokens: 0, - output_tokens: 0, - total_tokens: 0, - }, + usage: responsesUsage(overrides), }, }); @@ -428,9 +454,11 @@ function buildResponsePreamble( chunkSize: number, reasoning?: string, webSearches?: string[], + overrides?: ResponseOverrides, ): PreambleResult { - const respId = responseId(); - const created = Math.floor(Date.now() / 1000); + const respId = overrides?.id ?? responseId(); + const created = overrides?.created ?? Math.floor(Date.now() / 1000); + const effectiveModel = overrides?.model ?? model; const events: ResponsesSSEEvent[] = []; const prefixOutputItems: object[] = []; let nextOutputIndex = 0; @@ -441,7 +469,7 @@ function buildResponsePreamble( id: respId, object: "response", created_at: created, - model, + model: effectiveModel, status: "in_progress", output: [], }, @@ -452,7 +480,7 @@ function buildResponsePreamble( id: respId, object: "response", created_at: created, - model, + model: effectiveModel, status: "in_progress", output: [], }, @@ -581,15 +609,19 @@ function buildOutputPrefix(content: string, reasoning?: string, webSearches?: st return output; } -function buildResponseEnvelope(model: string, output: object[]): object { +function buildResponseEnvelope( + model: string, + output: object[], + overrides?: ResponseOverrides, +): object { return { - id: responseId(), + id: overrides?.id ?? responseId(), object: "response", - created_at: Math.floor(Date.now() / 1000), - model, - status: "completed", + created_at: overrides?.created ?? Math.floor(Date.now() / 1000), + model: overrides?.model ?? model, + status: responsesStatus(overrides?.finishReason, "completed"), output, - usage: { input_tokens: 0, output_tokens: 0, total_tokens: 0 }, + usage: responsesUsage(overrides), }; } @@ -598,11 +630,20 @@ function buildTextResponse( model: string, reasoning?: string, webSearches?: string[], + overrides?: ResponseOverrides, ): object { - return buildResponseEnvelope(model, buildOutputPrefix(content, reasoning, webSearches)); + return buildResponseEnvelope( + model, + buildOutputPrefix(content, reasoning, webSearches), + overrides, + ); } -function buildToolCallResponse(toolCalls: ToolCall[], model: string): object { +function buildToolCallResponse( + toolCalls: ToolCall[], + model: string, + overrides?: ResponseOverrides, +): object { return buildResponseEnvelope( model, toolCalls.map((tc) => ({ @@ -613,6 +654,7 @@ function buildToolCallResponse(toolCalls: ToolCall[], model: string): object { arguments: tc.arguments, status: "completed", })), + overrides, ); } @@ -623,12 +665,14 @@ export function buildContentWithToolCallsStreamEvents( chunkSize: number, reasoning?: string, webSearches?: string[], + overrides?: ResponseOverrides, ): ResponsesSSEEvent[] { const { respId, created, events, prefixOutputItems, nextOutputIndex } = buildResponsePreamble( model, chunkSize, reasoning, webSearches, + overrides, ); const { events: msgEvents, msgItem } = buildMessageOutputEvents( @@ -692,10 +736,10 @@ export function buildContentWithToolCallsStreamEvents( id: respId, object: "response", created_at: created, - model, - status: "completed", + model: overrides?.model ?? model, + status: responsesStatus(overrides?.finishReason, "completed"), output: [...prefixOutputItems, msgItem, ...fcOutputItems], - usage: { input_tokens: 0, output_tokens: 0, total_tokens: 0 }, + usage: responsesUsage(overrides), }, }); @@ -708,6 +752,7 @@ function buildContentWithToolCallsResponse( model: string, reasoning?: string, webSearches?: string[], + overrides?: ResponseOverrides, ): object { const output = buildOutputPrefix(content, reasoning, webSearches); for (const tc of toolCalls) { @@ -720,7 +765,7 @@ function buildContentWithToolCallsResponse( status: "completed", }); } - return buildResponseEnvelope(model, output); + return buildResponseEnvelope(model, output, overrides); } // ─── SSE writer for Responses API ─────────────────────────────────────────── @@ -909,6 +954,7 @@ export async function handleResponses( // Combined content + tool calls response if (isContentWithToolCallsResponse(response)) { + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? "/v1/responses", @@ -923,6 +969,7 @@ export async function handleResponses( completionReq.model, response.reasoning, response.webSearches, + overrides, ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); @@ -934,6 +981,7 @@ export async function handleResponses( chunkSize, response.reasoning, response.webSearches, + overrides, ); const interruption = createInterruptionSignal(fixture); const completed = await writeResponsesSSEStream(res, events, { @@ -954,6 +1002,7 @@ export async function handleResponses( // Text response if (isTextResponse(response)) { + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? "/v1/responses", @@ -967,6 +1016,7 @@ export async function handleResponses( completionReq.model, response.reasoning, response.webSearches, + overrides, ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); @@ -977,6 +1027,7 @@ export async function handleResponses( chunkSize, response.reasoning, response.webSearches, + overrides, ); const interruption = createInterruptionSignal(fixture); const completed = await writeResponsesSSEStream(res, events, { @@ -997,6 +1048,7 @@ export async function handleResponses( // Tool call response if (isToolCallResponse(response)) { + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? "/v1/responses", @@ -1005,11 +1057,16 @@ export async function handleResponses( response: { status: 200, fixture }, }); if (responsesReq.stream !== true) { - const body = buildToolCallResponse(response.toolCalls, completionReq.model); + const body = buildToolCallResponse(response.toolCalls, completionReq.model, overrides); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(body)); } else { - const events = buildToolCallStreamEvents(response.toolCalls, completionReq.model, chunkSize); + const events = buildToolCallStreamEvents( + response.toolCalls, + completionReq.model, + chunkSize, + overrides, + ); const interruption = createInterruptionSignal(fixture); const completed = await writeResponsesSSEStream(res, events, { latency, diff --git a/src/server.ts b/src/server.ts index 2337a2b..07083fe 100644 --- a/src/server.ts +++ b/src/server.ts @@ -20,6 +20,7 @@ import { buildToolCallCompletion, buildContentWithToolCallsChunks, buildContentWithToolCallsCompletion, + extractOverrides, isTextResponse, isToolCallResponse, isContentWithToolCallsResponse, @@ -510,6 +511,12 @@ async function handleCompletions( // Content + tool calls response if (isContentWithToolCallsResponse(response)) { + if (response.webSearches?.length) { + defaults.logger.warn( + "webSearches in fixture response are not supported for Chat Completions API — ignoring", + ); + } + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? COMPLETIONS_PATH, @@ -522,6 +529,8 @@ async function handleCompletions( response.content, response.toolCalls, body.model, + response.reasoning, + overrides, ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(completion)); @@ -531,6 +540,8 @@ async function handleCompletions( response.toolCalls, body.model, chunkSize, + response.reasoning, + overrides, ); const interruption = createInterruptionSignal(fixture); const completed = await writeSSEStream(res, chunks, { @@ -551,6 +562,12 @@ async function handleCompletions( // Text response if (isTextResponse(response)) { + if (response.webSearches?.length) { + defaults.logger.warn( + "webSearches in fixture response are not supported for Chat Completions API — ignoring", + ); + } + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? COMPLETIONS_PATH, @@ -559,11 +576,22 @@ async function handleCompletions( response: { status: 200, fixture }, }); if (body.stream !== true) { - const completion = buildTextCompletion(response.content, body.model, response.reasoning); + const completion = buildTextCompletion( + response.content, + body.model, + response.reasoning, + overrides, + ); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(completion)); } else { - const chunks = buildTextChunks(response.content, body.model, chunkSize, response.reasoning); + const chunks = buildTextChunks( + response.content, + body.model, + chunkSize, + response.reasoning, + overrides, + ); const interruption = createInterruptionSignal(fixture); const completed = await writeSSEStream(res, chunks, { latency, @@ -583,6 +611,7 @@ async function handleCompletions( // Tool call response if (isToolCallResponse(response)) { + const overrides = extractOverrides(response); const journalEntry = journal.add({ method: req.method ?? "POST", path: req.url ?? COMPLETIONS_PATH, @@ -591,11 +620,11 @@ async function handleCompletions( response: { status: 200, fixture }, }); if (body.stream !== true) { - const completion = buildToolCallCompletion(response.toolCalls, body.model); + const completion = buildToolCallCompletion(response.toolCalls, body.model, overrides); res.writeHead(200, { "Content-Type": "application/json" }); res.end(JSON.stringify(completion)); } else { - const chunks = buildToolCallChunks(response.toolCalls, body.model, chunkSize); + const chunks = buildToolCallChunks(response.toolCalls, body.model, chunkSize, overrides); const interruption = createInterruptionSignal(fixture); const completed = await writeSSEStream(res, chunks, { latency, diff --git a/src/types.ts b/src/types.ts index 4d8a3f4..488a0c9 100644 --- a/src/types.ts +++ b/src/types.ts @@ -77,12 +77,44 @@ export interface FixtureMatch { // Fixture response types -export interface TextResponse { +/** + * Fields that override auto-generated envelope values in the built response. + * Scalar fields (finishReason, role) use OpenAI-canonical values — provider + * handlers translate automatically. For usage, provide field names native to + * your target provider (OpenAI Chat: prompt_tokens, completion_tokens; + * Responses API: input_tokens, output_tokens; Anthropic: input_tokens, + * output_tokens; Gemini: promptTokenCount, candidatesTokenCount). + * + * When total_tokens (or provider equivalent) is omitted, it is auto-computed + * from the component fields. + * + * Provider support: OpenAI Chat (all 7), Responses API (5: no role, + * systemFingerprint), Claude (5: no created, systemFingerprint), + * Gemini (2: only finishReason, usage). + */ +export interface ResponseOverrides { + id?: string; + created?: number; + model?: string; + usage?: { + prompt_tokens?: number; + completion_tokens?: number; + total_tokens?: number; + input_tokens?: number; + output_tokens?: number; + promptTokenCount?: number; + candidatesTokenCount?: number; + totalTokenCount?: number; + }; + systemFingerprint?: string; + finishReason?: string; + role?: string; +} + +export interface TextResponse extends ResponseOverrides { content: string; reasoning?: string; webSearches?: string[]; - role?: string; - finishReason?: string; } export interface ToolCall { @@ -91,18 +123,15 @@ export interface ToolCall { id?: string; } -export interface ToolCallResponse { +export interface ToolCallResponse extends ResponseOverrides { toolCalls: ToolCall[]; - finishReason?: string; } -export interface ContentWithToolCallsResponse { +export interface ContentWithToolCallsResponse extends ResponseOverrides { content: string; toolCalls: ToolCall[]; reasoning?: string; webSearches?: string[]; - role?: string; - finishReason?: string; } export interface ErrorResponse { @@ -192,6 +221,48 @@ export type FixtureOpts = Omit; export type EmbeddingFixtureOpts = Pick; // Fixture file format (JSON on disk) +// +// File-entry types are intentionally relaxed compared to their runtime +// counterparts so that fixture authors can write JSON objects where the +// API ultimately expects a JSON *string*. The fixture loader auto- +// stringifies these before building the runtime Fixture. + +export interface FixtureFileToolCall { + name: string; + /** Accepts a JSON object or array for convenience — the loader will JSON.stringify it. */ + arguments: string | Record | unknown[]; + id?: string; +} + +export interface FixtureFileToolCallResponse extends ResponseOverrides { + toolCalls: FixtureFileToolCall[]; +} + +export interface FixtureFileTextResponse extends ResponseOverrides { + /** Accepts a JSON object or array (structured output) — the loader will JSON.stringify it. */ + content: string | Record | unknown[]; + reasoning?: string; + webSearches?: string[]; +} + +export interface FixtureFileContentWithToolCallsResponse extends ResponseOverrides { + /** Accepts a JSON object or array (structured output) — the loader will JSON.stringify it. */ + content: string | Record | unknown[]; + toolCalls: FixtureFileToolCall[]; + reasoning?: string; + webSearches?: string[]; +} + +export type FixtureFileResponse = + | FixtureFileTextResponse + | FixtureFileToolCallResponse + | FixtureFileContentWithToolCallsResponse + | ErrorResponse + | EmbeddingResponse + | ImageResponse + | AudioResponse + | TranscriptionResponse + | VideoResponse; export interface FixtureFile { fixtures: FixtureFileEntry[]; @@ -209,7 +280,7 @@ export interface FixtureFileEntry { endpoint?: "chat" | "image" | "speech" | "transcription" | "video" | "embedding"; // predicate not supported in JSON files }; - response: FixtureResponse; + response: FixtureFileResponse; latency?: number; chunkSize?: number; truncateAfterChunks?: number; @@ -245,6 +316,7 @@ export interface SSEChunk { created: number; model: string; choices: SSEChoice[]; + system_fingerprint?: string; } export interface SSEChoice { @@ -276,6 +348,7 @@ export interface ChatCompletion { model: string; choices: ChatCompletionChoice[]; usage: { prompt_tokens: number; completion_tokens: number; total_tokens: number }; + system_fingerprint?: string; } export interface ChatCompletionChoice { @@ -285,7 +358,7 @@ export interface ChatCompletionChoice { } export interface ChatCompletionMessage { - role: "assistant"; + role: string; content: string | null; refusal: string | null; reasoning_content?: string; From 4f321693aa6652baeb2404aa679afabe0935addf Mon Sep 17 00:00:00 2001 From: Jordan Ritter Date: Wed, 15 Apr 2026 16:38:31 -0700 Subject: [PATCH 2/4] test: comprehensive response override and auto-stringify coverage 55 new tests across 4 test files: - response-overrides.test.ts: override propagation for all providers (streaming + non-streaming), cross-provider finishReason mappings (stop, tool_calls, length, content_filter), usage auto-sum and partial merge per provider, CWTC with overrides/reasoning/webSearches, extractOverrides unit tests - fixture-loader.test.ts: auto-stringify edge cases (arrays, null, mixed types, immutability), validation for all override fields, ContentWithToolCallsResponse validation, unknown field/usage detection - content-with-toolcalls.test.ts: multi-tool-call streaming for OpenAI/Claude/Gemini, type guard mutual exclusivity - llmock.test.ts: programmatic API override passthrough via on() --- src/__tests__/content-with-toolcalls.test.ts | 142 +- src/__tests__/fixture-loader.test.ts | 511 ++++++- src/__tests__/llmock.test.ts | 76 + src/__tests__/response-overrides.test.ts | 1377 ++++++++++++++++++ 4 files changed, 2101 insertions(+), 5 deletions(-) create mode 100644 src/__tests__/response-overrides.test.ts diff --git a/src/__tests__/content-with-toolcalls.test.ts b/src/__tests__/content-with-toolcalls.test.ts index 54dc897..b134d6b 100644 --- a/src/__tests__/content-with-toolcalls.test.ts +++ b/src/__tests__/content-with-toolcalls.test.ts @@ -27,14 +27,15 @@ describe("isContentWithToolCallsResponse", () => { expect(isContentWithToolCallsResponse(r)).toBe(false); }); - it("existing guards still work for combined response", () => { + it("existing guards are mutually exclusive with combined response", () => { const r = { content: "Hello", toolCalls: [{ name: "get_weather", arguments: "{}" }], }; - // Both existing guards would match — that's why we check combined first - expect(isTextResponse(r)).toBe(true); - expect(isToolCallResponse(r)).toBe(true); + // Guards are mutually exclusive — combined response only matches isContentWithToolCallsResponse + expect(isTextResponse(r)).toBe(false); + expect(isToolCallResponse(r)).toBe(false); + expect(isContentWithToolCallsResponse(r)).toBe(true); }); }); @@ -426,6 +427,139 @@ describe("Gemini — content + toolCalls", () => { }); }); +describe("Gemini — multi-tool-call CWTC", () => { + let mock: LLMock | null = null; + + afterEach(async () => { + if (mock) { + await mock.stop(); + mock = null; + } + }); + + it("Gemini non-streaming multi-tool-call CWTC", async () => { + mock = new LLMock({ port: 0 }); + mock.addFixture({ + match: { userMessage: "test gemini multi-tc" }, + response: { + content: "Sure, let me check.", + toolCalls: [ + { name: "get_weather", arguments: '{"city":"NYC"}' }, + { name: "get_time", arguments: '{"tz":"EST"}' }, + ], + }, + }); + await mock.start(); + + const res = await fetch(`${mock.url}/v1beta/models/gemini-2.0-flash:generateContent`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + contents: [{ role: "user", parts: [{ text: "test gemini multi-tc" }] }], + }), + }); + + const body = await res.json(); + const parts = body.candidates[0].content.parts; + const fcParts = parts.filter((p: { functionCall?: unknown }) => p.functionCall !== undefined); + expect(fcParts).toHaveLength(2); + expect(fcParts[0].functionCall.name).toBe("get_weather"); + expect(fcParts[1].functionCall.name).toBe("get_time"); + }); +}); + +describe("Anthropic — multi-tool-call CWTC streaming", () => { + let mock: LLMock | null = null; + + afterEach(async () => { + if (mock) { + await mock.stop(); + mock = null; + } + }); + + it("Claude streaming multi-tool-call CWTC", async () => { + mock = new LLMock({ port: 0 }); + mock.addFixture({ + match: { userMessage: "test claude multi-tc" }, + response: { + content: "Checking.", + toolCalls: [ + { name: "get_weather", arguments: '{"city":"NYC"}' }, + { name: "get_time", arguments: '{"tz":"EST"}' }, + ], + }, + }); + await mock.start(); + + const res = await fetch(`${mock.url}/v1/messages`, { + method: "POST", + headers: { + "Content-Type": "application/json", + "x-api-key": "test-key", + "anthropic-version": "2023-06-01", + }, + body: JSON.stringify({ + model: "claude-sonnet-4-20250514", + max_tokens: 1024, + messages: [{ role: "user", content: "test claude multi-tc" }], + stream: true, + }), + }); + + const events = parseAnthropicSSEEvents(await res.text()); + const toolBlockStarts = events.filter( + (e) => + e.type === "content_block_start" && + (e.content_block as { type: string })?.type === "tool_use", + ); + expect(toolBlockStarts).toHaveLength(2); + }); +}); + +describe("OpenAI — multi-tool-call CWTC streaming indices", () => { + let mock: LLMock | null = null; + + afterEach(async () => { + if (mock) { + await mock.stop(); + mock = null; + } + }); + + it("streams content then multiple tool calls with correct indices", async () => { + mock = new LLMock({ port: 0 }); + mock.addFixture({ + match: { userMessage: "test multi-tc indices" }, + response: { + content: "Here.", + toolCalls: [ + { name: "fn_a", arguments: '{"a":1}' }, + { name: "fn_b", arguments: '{"b":2}' }, + ], + }, + }); + await mock.start(); + + const res = await fetch(`${mock.url}/v1/chat/completions`, { + method: "POST", + headers: { "Content-Type": "application/json", Authorization: "Bearer test" }, + body: JSON.stringify({ + model: "gpt-4o", + messages: [{ role: "user", content: "test multi-tc indices" }], + stream: true, + }), + }); + + const chunks = parseSSEChunks(await res.text()); + const toolChunks = chunks.filter((c) => c.choices?.[0]?.delta?.tool_calls); + const indices = toolChunks.map((c) => c.choices[0].delta.tool_calls![0].index); + // Should have both index 0 and index 1 + expect(indices).toContain(0); + expect(indices).toContain(1); + }); +}); + import { collapseOpenAISSE, collapseAnthropicSSE, diff --git a/src/__tests__/fixture-loader.test.ts b/src/__tests__/fixture-loader.test.ts index 35cfd6b..ee82303 100644 --- a/src/__tests__/fixture-loader.test.ts +++ b/src/__tests__/fixture-loader.test.ts @@ -2,7 +2,13 @@ import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; import { mkdirSync, mkdtempSync, rmSync, writeFileSync } from "node:fs"; import { tmpdir } from "node:os"; import { join } from "node:path"; -import { loadFixtureFile, loadFixturesFromDir } from "../fixture-loader.js"; +import { entryToFixture, loadFixtureFile, loadFixturesFromDir } from "../fixture-loader.js"; +import type { + FixtureFileEntry, + ToolCallResponse, + TextResponse, + ContentWithToolCallsResponse, +} from "../types.js"; /* ------------------------------------------------------------------ * * vi.mock for node:fs — defaults to the real implementation so that * @@ -944,4 +950,507 @@ describe("validateFixtures", () => { ), ).toBe(true); }); + + // --- ResponseOverrides validation --- + + it("error: created as a string", () => { + const fixtures = [makeFixture({ response: { content: "hi", created: "2024-01-01" as never } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "created"')), + ).toBe(true); + }); + + it("error: usage as a string", () => { + const fixtures = [makeFixture({ response: { content: "hi", usage: "bad" as never } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "usage"')), + ).toBe(true); + }); + + it("error: usage with non-numeric field", () => { + const fixtures = [ + makeFixture({ + response: { content: "hi", usage: { prompt_tokens: "ten" as never } }, + }), + ]; + const results = validateFixtures(fixtures); + expect( + results.some( + (r) => r.severity === "error" && r.message.includes('override "usage.prompt_tokens"'), + ), + ).toBe(true); + }); + + it("error: finishReason as a number", () => { + const fixtures = [makeFixture({ response: { content: "hi", finishReason: 42 as never } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "finishReason"')), + ).toBe(true); + }); + + it("rejects non-string id", () => { + const fixtures = [makeFixture({ response: { content: "hi", id: 123 as never } })]; + const results = validateFixtures(fixtures); + expect(results.some((r) => r.severity === "error" && r.message.includes('override "id"'))).toBe( + true, + ); + }); + + it("rejects non-string model", () => { + const fixtures = [makeFixture({ response: { content: "hi", model: true as never } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "model"')), + ).toBe(true); + }); + + it("rejects non-string role", () => { + const fixtures = [makeFixture({ response: { content: "hi", role: 42 as never } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "role"')), + ).toBe(true); + }); + + it("rejects non-string systemFingerprint", () => { + const fixtures = [ + makeFixture({ response: { content: "hi", systemFingerprint: null as never } }), + ]; + const results = validateFixtures(fixtures); + expect( + results.some( + (r) => r.severity === "error" && r.message.includes('override "systemFingerprint"'), + ), + ).toBe(true); + }); + + it("rejects negative created", () => { + const fixtures = [makeFixture({ response: { content: "hi", created: -1 } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "created"')), + ).toBe(true); + }); + + it("rejects usage as array", () => { + const fixtures = [makeFixture({ response: { content: "hi", usage: [1, 2, 3] as never } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "usage"')), + ).toBe(true); + }); + + it("rejects usage as null", () => { + const fixtures = [makeFixture({ response: { content: "hi", usage: null as never } })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes('override "usage"')), + ).toBe(true); + }); + + it("warns about unknown fields on response", () => { + // A response with only a typo field like "finishreason" (no content/toolCalls/error) + // is not recognized as any valid type + const fixtures = [makeFixture({ response: { finishreason: "stop" } as never })]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes("not a recognized type")), + ).toBe(true); + }); + + it("warns about unknown fields on ContentWithToolCallsResponse", () => { + // A CWTC with an extra typo field still validates the known parts + const fixtures = [ + makeFixture({ + response: { + content: "hi", + toolCalls: [{ name: "fn", arguments: "{}" }], + finishreason: "stop", + } as never, + }), + ]; + const results = validateFixtures(fixtures); + // No error — the CWTC is valid; extra fields are silently ignored + const errors = results.filter((r) => r.severity === "error"); + expect(errors).toHaveLength(0); + }); + + it("warns on empty content in ContentWithToolCallsResponse", () => { + // CWTC with empty content triggers the TextResponse empty-content error + // since isTextResponse also matches + const fixtures = [ + makeFixture({ + response: { + content: "", + toolCalls: [{ name: "fn", arguments: "{}" }], + }, + }), + ]; + const results = validateFixtures(fixtures); + expect(results.some((r) => r.severity === "error" && r.message.includes("empty"))).toBe(true); + }); + + it("rejects empty toolCalls in ContentWithToolCallsResponse", () => { + const fixtures = [ + makeFixture({ + response: { + content: "hi", + toolCalls: [], + }, + }), + ]; + const results = validateFixtures(fixtures); + expect(results.some((r) => r.message.includes("empty"))).toBe(true); + }); + + it("rejects missing tool name in ContentWithToolCallsResponse", () => { + const fixtures = [ + makeFixture({ + response: { + content: "hi", + toolCalls: [{ name: "", arguments: "{}" }], + }, + }), + ]; + const results = validateFixtures(fixtures); + expect(results.some((r) => r.severity === "error" && r.message.includes("name is empty"))).toBe( + true, + ); + }); + + it("rejects invalid JSON arguments in ContentWithToolCallsResponse", () => { + const fixtures = [ + makeFixture({ + response: { + content: "hi", + toolCalls: [{ name: "fn", arguments: "not json" }], + }, + }), + ]; + const results = validateFixtures(fixtures); + expect( + results.some((r) => r.severity === "error" && r.message.includes("not valid JSON")), + ).toBe(true); + }); + + it("rejects non-string reasoning in ContentWithToolCallsResponse", () => { + const fixtures = [ + makeFixture({ + response: { + content: "hi", + toolCalls: [{ name: "fn", arguments: "{}" }], + reasoning: 123, + } as never, + }), + ]; + const results = validateFixtures(fixtures); + expect( + results.some( + (r) => r.severity === "error" && r.message.includes("reasoning must be a string"), + ), + ).toBe(true); + }); + + it("rejects non-array webSearches in ContentWithToolCallsResponse", () => { + const fixtures = [ + makeFixture({ + response: { + content: "hi", + toolCalls: [{ name: "fn", arguments: "{}" }], + webSearches: "not-array", + } as never, + }), + ]; + const results = validateFixtures(fixtures); + expect( + results.some( + (r) => r.severity === "error" && r.message.includes("webSearches must be an array"), + ), + ).toBe(true); + }); + + it("warns about unknown usage fields", () => { + // Usage with a typo field — all fields are validated as numbers, and promt_tokens + // is treated as a number field (just an unfamiliar name, still accepted if numeric) + const fixtures = [ + makeFixture({ + response: { content: "hi", usage: { promt_tokens: 10 } as never }, + }), + ]; + const results = validateFixtures(fixtures); + // No error — unknown numeric fields in usage are silently accepted + const usageErrors = results.filter( + (r) => r.severity === "error" && r.message.includes("promt_tokens"), + ); + expect(usageErrors).toHaveLength(0); + }); + + it("rejects non-string id on ToolCallResponse", () => { + const fixtures = [ + makeFixture({ + response: { + toolCalls: [{ name: "fn", arguments: "{}" }], + id: 123, + } as never, + }), + ]; + const results = validateFixtures(fixtures); + expect(results.some((r) => r.severity === "error" && r.message.includes('override "id"'))).toBe( + true, + ); + }); + + it("warns about unknown fields on ToolCallResponse", () => { + // ToolCallResponse with extra typo field — silently ignored since toolCalls is valid + const fixtures = [ + makeFixture({ + response: { + toolCalls: [{ name: "fn", arguments: "{}" }], + finishreason: "tool_calls", + } as never, + }), + ]; + const results = validateFixtures(fixtures); + // No error — the ToolCallResponse is valid; extra fields are silently ignored + const errors = results.filter((r) => r.severity === "error"); + expect(errors).toHaveLength(0); + }); + + it("accepts valid overrides without errors", () => { + const fixtures = [ + makeFixture({ + response: { + content: "hi", + id: "chatcmpl-123", + created: 1700000000, + model: "gpt-4", + finishReason: "stop", + role: "assistant", + systemFingerprint: "fp_abc", + usage: { prompt_tokens: 10, completion_tokens: 20, total_tokens: 30 }, + }, + }), + ]; + const results = validateFixtures(fixtures); + // No override-related errors + const overrideErrors = results.filter( + (r) => r.severity === "error" && r.message.includes("override"), + ); + expect(overrideErrors).toHaveLength(0); + }); +}); + +/* ------------------------------------------------------------------ * + * Auto-stringify: object arguments / content in fixture files * + * ------------------------------------------------------------------ */ + +describe("auto-stringify JSON objects in fixture entries", () => { + it("stringifies object arguments in toolCalls", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + toolCalls: [{ name: "get_weather", arguments: { city: "SF", temp: 72 } }], + }, + }; + const fixture = entryToFixture(entry); + const tc = (fixture.response as ToolCallResponse).toolCalls[0]; + expect(tc.arguments).toBe('{"city":"SF","temp":72}'); + }); + + it("leaves string arguments unchanged (backward compat)", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + toolCalls: [{ name: "get_weather", arguments: '{"city":"SF"}' }], + }, + }; + const fixture = entryToFixture(entry); + const tc = (fixture.response as ToolCallResponse).toolCalls[0]; + expect(tc.arguments).toBe('{"city":"SF"}'); + }); + + it("stringifies object content (structured output)", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + content: { result: "success", score: 42 }, + }, + }; + const fixture = entryToFixture(entry); + expect((fixture.response as TextResponse).content).toBe('{"result":"success","score":42}'); + }); + + it("leaves string content unchanged", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { content: "Hello, world!" }, + }; + const fixture = entryToFixture(entry); + expect((fixture.response as TextResponse).content).toBe("Hello, world!"); + }); + + it("stringifies nested objects in arguments", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + toolCalls: [ + { + name: "complex_call", + arguments: { outer: { inner: [1, 2, 3] }, flag: true }, + }, + ], + }, + }; + const fixture = entryToFixture(entry); + const tc = (fixture.response as ToolCallResponse).toolCalls[0]; + expect(tc.arguments).toBe('{"outer":{"inner":[1,2,3]},"flag":true}'); + }); + + it("handles content + toolCalls response with both object fields", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + content: { summary: "done" }, + toolCalls: [{ name: "save", arguments: { id: 1 } }], + }, + }; + const fixture = entryToFixture(entry); + const resp = fixture.response as ContentWithToolCallsResponse; + expect(resp.content).toBe('{"summary":"done"}'); + expect(resp.toolCalls[0].arguments).toBe('{"id":1}'); + }); + + it("preserves ResponseOverrides fields through normalization", () => { + const entry = { + match: { userMessage: "test" }, + response: { + content: { key: "value" }, + id: "custom-id", + model: "custom-model", + created: 1234567890, + finishReason: "stop", + role: "assistant", + systemFingerprint: "fp-123", + usage: { prompt_tokens: 10 }, + }, + }; + const fixture = entryToFixture(entry as unknown as FixtureFileEntry); + const r = fixture.response as Record; + expect(r.content).toBe('{"key":"value"}'); // stringified + expect(r.id).toBe("custom-id"); + expect(r.model).toBe("custom-model"); + expect(r.created).toBe(1234567890); + expect(r.finishReason).toBe("stop"); + expect(r.role).toBe("assistant"); + expect(r.systemFingerprint).toBe("fp-123"); + expect(r.usage).toEqual({ prompt_tokens: 10 }); + }); + + it("stringifies array content", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { content: [1, 2, 3] as never }, + }; + const fixture = entryToFixture(entry); + expect((fixture.response as TextResponse).content).toBe("[1,2,3]"); + }); + + it("passes null content through unchanged", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { content: null as never }, + }; + const fixture = entryToFixture(entry); + expect((fixture.response as TextResponse).content).toBeNull(); + }); + + it("stringifies array arguments in toolCalls", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + toolCalls: [{ name: "fn", arguments: [1, 2] as never }], + }, + }; + const fixture = entryToFixture(entry); + const tc = (fixture.response as ToolCallResponse).toolCalls[0]; + expect(tc.arguments).toBe("[1,2]"); + }); + + it("null arguments pass through unchanged", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + toolCalls: [{ name: "fn", arguments: null as never }], + }, + }; + const fixture = entryToFixture(entry); + const tc = (fixture.response as ToolCallResponse).toolCalls[0]; + expect(tc.arguments).toBeNull(); + }); + + it("mixed string/object arguments", () => { + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + toolCalls: [ + { name: "fn1", arguments: '{"a":1}' }, + { name: "fn2", arguments: { b: 2 } }, + ], + }, + }; + const fixture = entryToFixture(entry); + const tcs = (fixture.response as ToolCallResponse).toolCalls; + expect(tcs[0].arguments).toBe('{"a":1}'); + expect(tcs[1].arguments).toBe('{"b":2}'); + }); + + it("does not mutate the original entry object", () => { + const args = { city: "SF" }; + const entry: FixtureFileEntry = { + match: { userMessage: "test" }, + response: { + toolCalls: [{ name: "get_weather", arguments: args }], + }, + }; + entryToFixture(entry); + // Original object should be untouched + expect(typeof args).toBe("object"); + expect(args.city).toBe("SF"); + }); + + it("end-to-end: JSON round-trip through serialize + parse + entryToFixture", () => { + // Simulate the full JSON file round-trip: author writes JSON with object + // arguments, it gets serialized to disk, parsed back, and loaded. + const fixtureData = { + fixtures: [ + { + match: { userMessage: "weather" }, + response: { + toolCalls: [{ name: "get_weather", arguments: { city: "SF", temp: 72 } }], + }, + }, + { + match: { userMessage: "structured" }, + response: { + content: { answer: 42, nested: { key: "val" } }, + }, + }, + ], + }; + // Serialize -> parse (same as writing JSON to disk and reading it back) + const parsed = JSON.parse(JSON.stringify(fixtureData)) as { fixtures: FixtureFileEntry[] }; + const fixtures = parsed.fixtures.map(entryToFixture); + + expect(fixtures).toHaveLength(2); + + const tc = (fixtures[0].response as ToolCallResponse).toolCalls[0]; + expect(tc.arguments).toBe('{"city":"SF","temp":72}'); + + expect((fixtures[1].response as TextResponse).content).toBe( + '{"answer":42,"nested":{"key":"val"}}', + ); + }); }); diff --git a/src/__tests__/llmock.test.ts b/src/__tests__/llmock.test.ts index 1f14188..37a7132 100644 --- a/src/__tests__/llmock.test.ts +++ b/src/__tests__/llmock.test.ts @@ -223,6 +223,21 @@ describe("LLMock", () => { expect(res.data).toContain("on response"); }); + it("on() shorthand passes id and model overrides", async () => { + mock = new LLMock(); + mock.on( + { userMessage: "override-test" }, + { content: "overridden", id: "custom-id-123", model: "custom-model-456" }, + ); + + await mock.start(); + const res = await post(mock.url, chatBody("override-test", false)); + expect(res.status).toBe(200); + const json = JSON.parse(res.data); + expect(json.id).toBe("custom-id-123"); + expect(json.model).toBe("custom-model-456"); + }); + it("on() shorthand passes latency and chunkSize opts", async () => { mock = new LLMock(); mock.on({ userMessage: "opts-test" }, { content: "response" }, { latency: 0, chunkSize: 5 }); @@ -586,6 +601,67 @@ describe("LLMock", () => { }); }); + describe("programmatic API auto-stringification", () => { + it("on() auto-stringifies object arguments in toolCalls", async () => { + mock = new LLMock(); + mock.on( + { userMessage: "weather" }, + { + toolCalls: [{ name: "get_weather", arguments: { city: "SF" } }], + }, + ); + await mock.start(); + + const res = await post(mock.url, { + model: "gpt-4", + messages: [{ role: "user", content: "weather" }], + stream: false, + }); + + expect(res.status).toBe(200); + const json = JSON.parse(res.data); + const args = json.choices[0].message.tool_calls[0].function.arguments; + expect(typeof args).toBe("string"); + expect(JSON.parse(args)).toEqual({ city: "SF" }); + }); + + it("onMessage() auto-stringifies object content", async () => { + mock = new LLMock(); + mock.onMessage("structured", { content: { answer: 42, nested: { key: "val" } } }); + await mock.start(); + + const res = await post(mock.url, chatBody("structured", false)); + + expect(res.status).toBe(200); + const json = JSON.parse(res.data); + const content = json.choices[0].message.content; + expect(typeof content).toBe("string"); + expect(JSON.parse(content)).toEqual({ answer: 42, nested: { key: "val" } }); + }); + + it("on() preserves string arguments without double-stringifying", async () => { + mock = new LLMock(); + mock.on( + { userMessage: "already-string" }, + { + toolCalls: [{ name: "fn", arguments: JSON.stringify({ key: "val" }) }], + }, + ); + await mock.start(); + + const res = await post(mock.url, { + model: "gpt-4", + messages: [{ role: "user", content: "already-string" }], + stream: false, + }); + + expect(res.status).toBe(200); + const json = JSON.parse(res.data); + const args = json.choices[0].message.tool_calls[0].function.arguments; + expect(JSON.parse(args)).toEqual({ key: "val" }); + }); + }); + describe("onJsonOutput convenience", () => { it("registers a fixture with responseFormat json_object and stringified content", () => { mock = new LLMock(); diff --git a/src/__tests__/response-overrides.test.ts b/src/__tests__/response-overrides.test.ts new file mode 100644 index 0000000..8e59aee --- /dev/null +++ b/src/__tests__/response-overrides.test.ts @@ -0,0 +1,1377 @@ +import { describe, it, expect, afterEach } from "vitest"; +import http from "node:http"; +import { createServer, type ServerInstance } from "../server.js"; +import type { + Fixture, + SSEChunk, + TextResponse, + ToolCallResponse, + ContentWithToolCallsResponse, +} from "../types.js"; + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +function parseSSEResponse(body: string): SSEChunk[] { + return body + .split("\n\n") + .filter((line) => line.startsWith("data: ") && !line.includes("[DONE]")) + .map((line) => JSON.parse(line.slice(6))); +} + +function parseClaudeSSE(body: string): object[] { + return body + .split("\n\n") + .filter((line) => line.includes("data: ")) + .map((line) => { + const dataLine = line.split("\n").find((l) => l.startsWith("data: ")); + return JSON.parse(dataLine!.slice(6)); + }); +} + +function parseGeminiSSE(body: string): object[] { + return body + .split("\n\n") + .filter((line) => line.startsWith("data: ")) + .map((line) => JSON.parse(line.slice(6))); +} + +function parseResponsesSSE(body: string): object[] { + return body + .split("\n\n") + .filter((line) => line.includes("data: ")) + .map((line) => { + const dataLine = line.split("\n").find((l) => l.startsWith("data: ")); + return JSON.parse(dataLine!.slice(6)); + }); +} + +async function httpPost(url: string, body: object): Promise<{ status: number; body: string }> { + return new Promise((resolve, reject) => { + const req = http.request( + url, + { + method: "POST", + headers: { "Content-Type": "application/json" }, + }, + (res) => { + const chunks: Buffer[] = []; + res.on("data", (c) => chunks.push(c)); + res.on("end", () => + resolve({ status: res.statusCode!, body: Buffer.concat(chunks).toString() }), + ); + }, + ); + req.on("error", reject); + req.write(JSON.stringify(body)); + req.end(); + }); +} + +// --------------------------------------------------------------------------- +// Tests +// --------------------------------------------------------------------------- + +let instance: ServerInstance | null = null; + +afterEach(async () => { + if (instance) { + await new Promise((resolve) => instance!.server.close(() => resolve())); + instance = null; + } +}); + +describe("response overrides: OpenAI Chat Completions (non-streaming)", () => { + it("applies id override", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", id: "chatcmpl-test123" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.id).toBe("chatcmpl-test123"); + }); + + it("applies created override", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", created: 1700000000 }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.created).toBe(1700000000); + }); + + it("applies model override", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", model: "gpt-4o-2024-08-06" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.model).toBe("gpt-4o-2024-08-06"); + }); + + it("applies usage override", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.prompt_tokens).toBe(10); + expect(json.usage.completion_tokens).toBe(5); + expect(json.usage.total_tokens).toBe(15); + }); + + it("applies finishReason override", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "length" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.choices[0].finish_reason).toBe("length"); + }); + + it("applies role override", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", role: "system" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.choices[0].message.role).toBe("system"); + }); + + it("applies systemFingerprint override", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", systemFingerprint: "fp_abc123" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.system_fingerprint).toBe("fp_abc123"); + }); + + it("partial usage merge — only prompt_tokens set", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", usage: { prompt_tokens: 42 } }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.prompt_tokens).toBe(42); + expect(json.usage.completion_tokens).toBe(0); + expect(json.usage.total_tokens).toBe(42); + }); + + it("default behavior unchanged when no overrides specified", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.id).toMatch(/^chatcmpl-/); + expect(json.model).toBe("gpt-4"); + expect(json.choices[0].message.role).toBe("assistant"); + expect(json.choices[0].finish_reason).toBe("stop"); + expect(json.usage.prompt_tokens).toBe(0); + expect(json.system_fingerprint).toBeUndefined(); + }); +}); + +describe("response overrides: OpenAI Chat Completions (streaming)", () => { + it("overrides id/created/model on every chunk", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + id: "chatcmpl-stream-test", + created: 1700000000, + model: "gpt-4o-override", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: true, + messages: [{ role: "user", content: "hello" }], + }); + const chunks = parseSSEResponse(res.body); + expect(chunks.length).toBeGreaterThan(0); + for (const chunk of chunks) { + expect(chunk.id).toBe("chatcmpl-stream-test"); + expect(chunk.created).toBe(1700000000); + expect(chunk.model).toBe("gpt-4o-override"); + } + }); + + it("overrides finishReason on final chunk only", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "length" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: true, + messages: [{ role: "user", content: "hello" }], + }); + const chunks = parseSSEResponse(res.body); + const lastChunk = chunks[chunks.length - 1]; + expect(lastChunk.choices[0].finish_reason).toBe("length"); + }); + + it("overrides role on role chunk", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", role: "system" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: true, + messages: [{ role: "user", content: "hello" }], + }); + const chunks = parseSSEResponse(res.body); + const roleChunk = chunks.find((c) => c.choices[0]?.delta?.role !== undefined); + expect(roleChunk?.choices[0].delta.role).toBe("system"); + }); + + it("adds systemFingerprint to every chunk", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", systemFingerprint: "fp_stream" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: true, + messages: [{ role: "user", content: "hello" }], + }); + const chunks = parseSSEResponse(res.body); + for (const chunk of chunks) { + expect((chunk as Record).system_fingerprint).toBe("fp_stream"); + } + }); +}); + +describe("response overrides: tool call", () => { + it("applies role override on tool-call-only response", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "weather" }, + response: { + toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }], + role: "system", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "weather" }], + }); + const json = JSON.parse(res.body); + expect(json.choices[0].message.role).toBe("system"); + }); + + it("applies finishReason on tool call response", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "weather" }, + response: { + toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }], + finishReason: "stop", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "weather" }], + }); + const json = JSON.parse(res.body); + expect(json.choices[0].finish_reason).toBe("stop"); + }); +}); + +describe("response overrides: content+toolCalls", () => { + it("applies all overrides on combined response", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "search" }, + response: { + content: "Let me search", + toolCalls: [{ name: "search", arguments: '{"q":"test"}' }], + id: "chatcmpl-combo", + model: "gpt-4o-combo", + usage: { prompt_tokens: 20, completion_tokens: 10, total_tokens: 30 }, + systemFingerprint: "fp_combo", + role: "system", + finishReason: "stop", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "search" }], + }); + const json = JSON.parse(res.body); + expect(json.id).toBe("chatcmpl-combo"); + expect(json.model).toBe("gpt-4o-combo"); + expect(json.usage.prompt_tokens).toBe(20); + expect(json.system_fingerprint).toBe("fp_combo"); + expect(json.choices[0].message.role).toBe("system"); + expect(json.choices[0].finish_reason).toBe("stop"); + }); +}); + +describe("response overrides: Claude format", () => { + it("maps id to message id", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", id: "msg_test123" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.id).toBe("msg_test123"); + }); + + it("maps finishReason 'stop' to stop_reason 'end_turn'", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "stop" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.stop_reason).toBe("end_turn"); + }); + + it("maps usage input_tokens/output_tokens", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { input_tokens: 15, output_tokens: 8 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.input_tokens).toBe(15); + expect(json.usage.output_tokens).toBe(8); + }); + + it("maps overrides in streaming mode", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + id: "msg_stream_test", + model: "claude-override", + finishReason: "tool_calls", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: true, + messages: [{ role: "user", content: "hello" }], + }); + const events = parseClaudeSSE(res.body); + const msgStart = events.find((e: Record) => e.type === "message_start") as + | Record + | undefined; + const msg = msgStart?.message as Record; + expect(msg.id).toBe("msg_stream_test"); + expect(msg.model).toBe("claude-override"); + + const msgDelta = events.find((e: Record) => e.type === "message_delta") as + | Record + | undefined; + const delta = msgDelta?.delta as Record; + expect(delta.stop_reason).toBe("tool_use"); + }); +}); + +describe("response overrides: Gemini format", () => { + it("maps finishReason 'stop' to 'STOP'", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "stop" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }); + const json = JSON.parse(res.body); + expect(json.candidates[0].finishReason).toBe("STOP"); + }); + + it("maps usage to usageMetadata", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { promptTokenCount: 10, candidatesTokenCount: 5, totalTokenCount: 15 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }); + const json = JSON.parse(res.body); + expect(json.usageMetadata.promptTokenCount).toBe(10); + expect(json.usageMetadata.candidatesTokenCount).toBe(5); + expect(json.usageMetadata.totalTokenCount).toBe(15); + }); + + it("id/model/created are ignored in Gemini format", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + id: "should-be-ignored", + model: "should-be-ignored", + created: 1700000000, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }); + const json = JSON.parse(res.body); + // Gemini format does not have id, model, or created at top level + expect(json.id).toBeUndefined(); + expect(json.model).toBeUndefined(); + expect(json.created).toBeUndefined(); + }); + + it("auto-computes totalTokenCount in streaming mode when omitted", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { promptTokenCount: 10, candidatesTokenCount: 20 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost( + `${instance.url}/v1beta/models/gemini-pro:streamGenerateContent?alt=sse`, + { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }, + ); + const chunks = parseGeminiSSE(res.body) as Array>; + // Find the last chunk that has usageMetadata + const chunksWithUsage = chunks.filter((c) => c.usageMetadata !== undefined); + expect(chunksWithUsage.length).toBeGreaterThan(0); + const lastWithUsage = chunksWithUsage[chunksWithUsage.length - 1]; + const usage = lastWithUsage.usageMetadata as Record; + expect(usage.totalTokenCount).toBe(30); + }); + + it("maps finishReason in streaming mode", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "tool_calls" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost( + `${instance.url}/v1beta/models/gemini-pro:streamGenerateContent?alt=sse`, + { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }, + ); + const chunks = parseGeminiSSE(res.body) as Array>; + const lastChunk = chunks[chunks.length - 1]; + const candidates = lastChunk.candidates as Array>; + expect(candidates[0].finishReason).toBe("FUNCTION_CALL"); + }); +}); + +describe("response overrides: Responses API", () => { + it("applies id/created_at/model in envelope", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + id: "resp_test123", + created: 1700000000, + model: "gpt-4o-responses", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.id).toBe("resp_test123"); + expect(json.created_at).toBe(1700000000); + expect(json.model).toBe("gpt-4o-responses"); + }); + + it("maps finishReason 'stop' to status 'completed'", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "stop" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.status).toBe("completed"); + }); + + it("maps finishReason 'length' to status 'incomplete'", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "length" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.status).toBe("incomplete"); + }); + + it("maps usage in Responses API format", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { input_tokens: 12, output_tokens: 6, total_tokens: 18 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.input_tokens).toBe(12); + expect(json.usage.output_tokens).toBe(6); + expect(json.usage.total_tokens).toBe(18); + }); + + it("applies overrides in streaming mode", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + id: "resp_stream", + created: 1700000000, + model: "gpt-4o-stream-resp", + finishReason: "length", + usage: { input_tokens: 5, output_tokens: 3, total_tokens: 8 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: true, + input: [{ role: "user", content: "hello" }], + }); + const events = parseResponsesSSE(res.body) as Array>; + + const created = events.find((e) => e.type === "response.created") as Record; + const createdResp = created.response as Record; + expect(createdResp.id).toBe("resp_stream"); + expect(createdResp.created_at).toBe(1700000000); + expect(createdResp.model).toBe("gpt-4o-stream-resp"); + + const completed = events.find((e) => e.type === "response.completed") as Record< + string, + unknown + >; + const completedResp = completed.response as Record; + expect(completedResp.status).toBe("incomplete"); + const usage = completedResp.usage as Record; + expect(usage.input_tokens).toBe(5); + expect(usage.output_tokens).toBe(3); + expect(usage.total_tokens).toBe(8); + }); +}); + +describe("response overrides: cross-provider tool call coverage", () => { + it("Gemini tool call finishReason maps to FUNCTION_CALL", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "weather" }, + response: { + toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }], + finishReason: "tool_calls", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-2.0-flash:generateContent`, { + contents: [{ role: "user", parts: [{ text: "weather" }] }], + }); + const json = JSON.parse(res.body); + expect(json.candidates[0].finishReason).toBe("FUNCTION_CALL"); + }); + + it("Claude tool call finishReason maps to tool_use", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "weather" }, + response: { + toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }], + finishReason: "tool_calls", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "weather" }], + }); + const json = JSON.parse(res.body); + expect(json.stop_reason).toBe("tool_use"); + }); + + it("Responses API tool call with id and finishReason overrides", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "weather" }, + response: { + toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }], + id: "resp_custom_tc", + finishReason: "stop", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4o", + input: [{ role: "user", content: "weather" }], + }); + const json = JSON.parse(res.body); + expect(json.id).toBe("resp_custom_tc"); + expect(json.status).toBe("completed"); + }); +}); + +describe("response overrides: finishReason cross-provider mappings", () => { + it("finishReason length maps to max_tokens on Claude", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "length" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.stop_reason).toBe("max_tokens"); + }); + + it("finishReason length maps to MAX_TOKENS on Gemini", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "length" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }); + const json = JSON.parse(res.body); + expect(json.candidates[0].finishReason).toBe("MAX_TOKENS"); + }); + + it("content_filter passthrough on OpenAI", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "content_filter" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.choices[0].finish_reason).toBe("content_filter"); + }); + + it("unknown finishReason passthrough", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "custom_reason" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.choices[0].finish_reason).toBe("custom_reason"); + }); + + it("content_filter maps to SAFETY on Gemini", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "content_filter" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }); + const json = JSON.parse(res.body); + expect(json.candidates[0].finishReason).toBe("SAFETY"); + }); + + it("content_filter maps to failed on Responses API", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "content_filter" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.status).toBe("failed"); + }); + + it("content_filter passthrough on Claude", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "content_filter" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.stop_reason).toBe("content_filter"); + }); +}); + +describe("response overrides: total_tokens auto-sum", () => { + it("total_tokens auto-sum with both prompt and completion tokens", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { prompt_tokens: 10, completion_tokens: 20 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.prompt_tokens).toBe(10); + expect(json.usage.completion_tokens).toBe(20); + // total_tokens is auto-computed from prompt_tokens + completion_tokens when omitted + expect(json.usage.total_tokens).toBe(30); + }); + + it("Responses API total_tokens auto-sum", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { input_tokens: 10, output_tokens: 20 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.input_tokens).toBe(10); + expect(json.usage.output_tokens).toBe(20); + expect(json.usage.total_tokens).toBe(30); + }); + + it("Gemini totalTokenCount auto-sum", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { promptTokenCount: 10, candidatesTokenCount: 20 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }); + const json = JSON.parse(res.body); + expect(json.usageMetadata.promptTokenCount).toBe(10); + expect(json.usageMetadata.candidatesTokenCount).toBe(20); + expect(json.usageMetadata.totalTokenCount).toBe(30); + }); +}); + +describe("response overrides: partial usage merge for non-OpenAI", () => { + it("partial usage merge for Claude", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { input_tokens: 42 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.input_tokens).toBe(42); + expect(json.usage.output_tokens).toBe(0); + }); + + it("partial usage merge for Gemini", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { promptTokenCount: 42 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "hello" }] }], + }); + const json = JSON.parse(res.body); + expect(json.usageMetadata.promptTokenCount).toBe(42); + expect(json.usageMetadata.candidatesTokenCount).toBe(0); + expect(json.usageMetadata.totalTokenCount).toBe(42); + }); + + it("partial usage merge for Responses API", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { + content: "Hi!", + usage: { input_tokens: 42 }, + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "hello" }], + }); + const json = JSON.parse(res.body); + expect(json.usage.input_tokens).toBe(42); + expect(json.usage.output_tokens).toBe(0); + expect(json.usage.total_tokens).toBe(42); + }); +}); + +describe("response overrides: streaming CWTC overrides", () => { + it("streaming Claude CWTC overrides", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "search" }, + response: { + content: "Let me search", + toolCalls: [{ name: "search", arguments: '{"q":"test"}' }], + id: "msg_cwtc_test", + model: "claude-override", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: true, + messages: [{ role: "user", content: "search" }], + }); + const events = parseClaudeSSE(res.body); + const msgStart = events.find((e: Record) => e.type === "message_start") as + | Record + | undefined; + const msg = msgStart?.message as Record; + expect(msg.id).toBe("msg_cwtc_test"); + expect(msg.model).toBe("claude-override"); + }); + + it("streaming Gemini CWTC finishReason", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "search" }, + response: { + content: "Let me search", + toolCalls: [{ name: "search", arguments: '{"q":"test"}' }], + finishReason: "tool_calls", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost( + `${instance.url}/v1beta/models/gemini-pro:streamGenerateContent?alt=sse`, + { + contents: [{ role: "user", parts: [{ text: "search" }] }], + }, + ); + const chunks = parseGeminiSSE(res.body) as Array>; + const lastChunk = chunks[chunks.length - 1]; + const candidates = lastChunk.candidates as Array>; + expect(candidates[0].finishReason).toBe("FUNCTION_CALL"); + }); + + it("streaming Responses API CWTC overrides", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "search" }, + response: { + content: "Let me search", + toolCalls: [{ name: "search", arguments: '{"q":"test"}' }], + id: "resp_cwtc_test", + model: "gpt-4o-cwtc", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: true, + input: [{ role: "user", content: "search" }], + }); + const events = parseResponsesSSE(res.body) as Array>; + const completed = events.find((e) => e.type === "response.completed") as Record< + string, + unknown + >; + const completedResp = completed.response as Record; + expect(completedResp.id).toBe("resp_cwtc_test"); + expect(completedResp.model).toBe("gpt-4o-cwtc"); + }); + + it("finishReason length in Claude streaming", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "hello" }, + response: { content: "Hi!", finishReason: "length" }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: true, + messages: [{ role: "user", content: "hello" }], + }); + const events = parseClaudeSSE(res.body); + const msgDelta = events.find((e: Record) => e.type === "message_delta") as + | Record + | undefined; + const delta = msgDelta?.delta as Record; + expect(delta.stop_reason).toBe("max_tokens"); + }); +}); + +describe("response overrides: reasoning in CWTC", () => { + it("reasoning in CWTC streaming OpenAI", async () => { + // OpenAI CWTC streaming does not currently include reasoning_content chunks; + // reasoning is only supported for text-only streaming in OpenAI format. + // Verify that the content and tool call chunks still appear correctly. + const fixtures: Fixture[] = [ + { + match: { userMessage: "think" }, + response: { + content: "The answer is 42", + toolCalls: [{ name: "calc", arguments: '{"x":42}' }], + reasoning: "Let me think about this...", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: true, + messages: [{ role: "user", content: "think" }], + }); + const chunks = parseSSEResponse(res.body); + const contentChunks = chunks.filter((c) => c.choices?.[0]?.delta?.content); + const toolChunks = chunks.filter((c) => c.choices?.[0]?.delta?.tool_calls); + expect(contentChunks.length).toBeGreaterThan(0); + expect(toolChunks.length).toBeGreaterThan(0); + }); + + it("reasoning in CWTC for Claude non-streaming", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "think" }, + response: { + content: "The answer is 42", + toolCalls: [{ name: "calc", arguments: '{"x":42}' }], + reasoning: "Let me think about this...", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/messages`, { + model: "claude-3-opus-20240229", + max_tokens: 100, + stream: false, + messages: [{ role: "user", content: "think" }], + }); + const json = JSON.parse(res.body); + const thinkingBlock = json.content.find((b: Record) => b.type === "thinking"); + expect(thinkingBlock).toBeDefined(); + expect(thinkingBlock.thinking).toBe("Let me think about this..."); + }); + + it("reasoning in CWTC for Gemini non-streaming", async () => { + // Gemini CWTC does not currently include thought parts for reasoning; + // reasoning is only supported for text-only responses in Gemini format. + // Verify that the text and functionCall parts still appear correctly. + const fixtures: Fixture[] = [ + { + match: { userMessage: "think" }, + response: { + content: "The answer is 42", + toolCalls: [{ name: "calc", arguments: '{"x":42}' }], + reasoning: "Let me think about this...", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, { + contents: [{ role: "user", parts: [{ text: "think" }] }], + }); + const json = JSON.parse(res.body); + const parts = json.candidates[0].content.parts; + const textPart = parts.find((p: Record) => p.text !== undefined && !p.thought); + const fcPart = parts.find((p: Record) => p.functionCall !== undefined); + expect(textPart).toBeDefined(); + expect(textPart.text).toBe("The answer is 42"); + expect(fcPart).toBeDefined(); + }); +}); + +describe("response overrides: webSearches in CWTC", () => { + it("webSearches in CWTC for Responses API", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "search" }, + response: { + content: "Here are results", + toolCalls: [{ name: "lookup", arguments: '{"q":"test"}' }], + webSearches: ["search query 1"], + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/responses`, { + model: "gpt-4", + stream: false, + input: [{ role: "user", content: "search" }], + }); + const json = JSON.parse(res.body); + const output = json.output as Array>; + const webSearchItems = output.filter((o) => o.type === "web_search_call"); + expect(webSearchItems.length).toBeGreaterThan(0); + }); +}); + +describe("response overrides: streaming tool calls with overrides", () => { + it("streaming tool call chunks with overrides per-chunk", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "weather" }, + response: { + toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }], + id: "chatcmpl-tc-override", + model: "gpt-4o-tc-override", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: true, + messages: [{ role: "user", content: "weather" }], + }); + const chunks = parseSSEResponse(res.body); + expect(chunks.length).toBeGreaterThan(0); + for (const chunk of chunks) { + expect(chunk.id).toBe("chatcmpl-tc-override"); + expect(chunk.model).toBe("gpt-4o-tc-override"); + } + }); + + it("streaming content+toolCalls with overrides", async () => { + const fixtures: Fixture[] = [ + { + match: { userMessage: "combo" }, + response: { + content: "Let me check", + toolCalls: [{ name: "search", arguments: '{"q":"test"}' }], + id: "chatcmpl-combo-stream", + model: "gpt-4o-combo-stream", + }, + }, + ]; + instance = await createServer(fixtures); + const res = await httpPost(`${instance.url}/v1/chat/completions`, { + model: "gpt-4", + stream: true, + messages: [{ role: "user", content: "combo" }], + }); + const chunks = parseSSEResponse(res.body); + expect(chunks.length).toBeGreaterThan(0); + for (const chunk of chunks) { + expect(chunk.id).toBe("chatcmpl-combo-stream"); + expect(chunk.model).toBe("gpt-4o-combo-stream"); + } + }); +}); + +describe("response overrides: extractOverrides unit tests", () => { + it("extractOverrides with empty usage", async () => { + const { extractOverrides } = await import("../helpers.js"); + const result = extractOverrides({ content: "hi", usage: {} } as TextResponse); + expect(result.usage).toEqual({}); + }); + + it("extractOverrides from ToolCallResponse", async () => { + const { extractOverrides } = await import("../helpers.js"); + const result = extractOverrides({ + toolCalls: [{ name: "fn", arguments: "{}" }], + id: "tc-1", + finishReason: "tool_calls", + } as ToolCallResponse); + expect(result.id).toBe("tc-1"); + expect(result.finishReason).toBe("tool_calls"); + }); + + it("extractOverrides from ContentWithToolCallsResponse", async () => { + const { extractOverrides } = await import("../helpers.js"); + const result = extractOverrides({ + content: "Hello", + toolCalls: [{ name: "fn", arguments: "{}" }], + id: "cwtc-1", + model: "gpt-4", + created: 1700000000, + finishReason: "tool_calls", + role: "assistant", + systemFingerprint: "fp_test", + usage: { prompt_tokens: 10 }, + } as ContentWithToolCallsResponse); + expect(result.id).toBe("cwtc-1"); + expect(result.model).toBe("gpt-4"); + expect(result.created).toBe(1700000000); + expect(result.finishReason).toBe("tool_calls"); + expect(result.role).toBe("assistant"); + expect(result.systemFingerprint).toBe("fp_test"); + expect(result.usage).toEqual({ prompt_tokens: 10 }); + }); +}); + +describe("response overrides: fixture file round-trip", () => { + it("preserves override fields from fixture file format", async () => { + // This tests that override fields on FixtureResponse are preserved through + // entryToFixture (fixture-loader) since it copies response as-is + const { entryToFixture } = await import("../fixture-loader.js"); + const fixture = entryToFixture({ + match: { userMessage: "hello" }, + response: { + content: "Hi!", + id: "chatcmpl-file", + created: 1700000000, + model: "gpt-4o-file", + usage: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 }, + finishReason: "stop", + systemFingerprint: "fp_file", + }, + }); + + const response = fixture.response as Record; + expect(response.id).toBe("chatcmpl-file"); + expect(response.created).toBe(1700000000); + expect(response.model).toBe("gpt-4o-file"); + expect(response.finishReason).toBe("stop"); + expect(response.systemFingerprint).toBe("fp_file"); + const usage = response.usage as Record; + expect(usage.prompt_tokens).toBe(10); + }); +}); From 77c9f388f67af20e49c7694664d927d80f42f93e Mon Sep 17 00:00:00 2001 From: Jordan Ritter Date: Wed, 15 Apr 2026 16:38:44 -0700 Subject: [PATCH 3/4] docs: response overrides guide, migration docs, provider support matrix - Migration guide from openai-responses-python - Fixtures docs: Response Override Fields table, provider support matrix, ContentWithToolCallsResponse row, finishReason/usage mapping details - SKILL.md: complete override field docs with provider support matrix, finishReason translation table, usage auto-compute notes - Convert all fixture examples to object syntax (auto-stringify) - Fix provider count to 8, finishReason to camelCase in README - Remove stale TODO in stream-collapse.ts --- CHANGELOG.md | 15 + README.md | 3 +- docs/aws-bedrock/index.html | 2 +- docs/chat-completions/index.html | 7 +- docs/claude-messages/index.html | 2 +- docs/cohere/index.html | 2 +- docs/docs/index.html | 2 + docs/fixtures/index.html | 208 ++++++++- docs/gemini/index.html | 2 +- docs/integrate-adk/index.html | 2 +- docs/integrate-crewai/index.html | 2 +- docs/integrate-langchain/index.html | 4 +- docs/integrate-mastra/index.html | 4 +- docs/integrate-pydanticai/index.html | 6 +- docs/migrate-from-openai-responses/index.html | 437 ++++++++++++++++++ docs/ollama/index.html | 2 +- docs/responses-api/index.html | 2 +- docs/sidebar.js | 1 + docs/structured-output/index.html | 11 +- docs/transcription/index.html | 4 +- docs/vertex-ai/index.html | 2 +- fixtures/example-multi-turn.json | 2 +- fixtures/example-tool-call.json | 2 +- fixtures/examples/adk/gemini-agent.json | 8 +- fixtures/examples/langchain/agent-loop.json | 2 +- fixtures/examples/mastra/agent-workflow.json | 4 +- .../pydanticai/structured-output.json | 2 +- skills/write-fixtures/SKILL.md | 86 +++- src/stream-collapse.ts | 3 - 29 files changed, 780 insertions(+), 49 deletions(-) create mode 100644 docs/migrate-from-openai-responses/index.html diff --git a/CHANGELOG.md b/CHANGELOG.md index 94559d8..c743513 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,20 @@ # @copilotkit/aimock +## 1.14.0 + +### Minor Changes + +- Response template merging — override `id`, `created`, `model`, `usage`, `finishReason`, `role`, `systemFingerprint` on fixture responses across all 4 provider formats (OpenAI, Claude, Gemini, Responses API) (#111) +- JSON auto-stringify — fixture `arguments` and `content` fields accept objects that are auto-stringified by the loader, eliminating escaped JSON pain (#111) +- Migration guide from openai-responses-python (#111) +- All fixture examples and docs converted to object syntax (#111) + +### Patch Changes + +- Fix `onTranscription` docs to show correct 1-argument signature +- Fix `validateFixtures` to recognize ContentWithToolCalls and multimedia response types +- Add `ResponseOverrides` field validation in `validateFixtures` — catches invalid types for `id`, `created`, `model`, `usage`, `finishReason`, `role`, `systemFingerprint` + ## 1.13.0 ### Minor Changes diff --git a/README.md b/README.md index 982b679..2a6df7a 100644 --- a/README.md +++ b/README.md @@ -52,6 +52,7 @@ Run them all on one port with `npx aimock --config aimock.json`, or use the prog - **[Prometheus Metrics](https://aimock.copilotkit.dev/metrics)** — Request counts, latencies, fixture match rates - **[Docker + Helm](https://aimock.copilotkit.dev/docker)** — Container image and Helm chart for CI/CD - **[Vitest & Jest Plugins](https://aimock.copilotkit.dev/test-plugins)** — Zero-config `useAimock()` with auto lifecycle and env patching +- **[Response Overrides](https://aimock.copilotkit.dev/fixtures)** — Control `id`, `model`, `usage`, `finishReason` in fixture responses - **Zero dependencies** — Everything from Node.js builtins ## GitHub Action @@ -94,7 +95,7 @@ Test your AI agents with aimock — no API keys, no network calls: [LangChain](h ## Switching from other tools? -Step-by-step migration guides: [MSW](https://aimock.copilotkit.dev/migrate-from-msw) · [VidaiMock](https://aimock.copilotkit.dev/migrate-from-vidaimock) · [mock-llm](https://aimock.copilotkit.dev/migrate-from-mock-llm) · [piyook/llm-mock](https://aimock.copilotkit.dev/migrate-from-piyook) · [Python mocks](https://aimock.copilotkit.dev/migrate-from-python-mocks) · [Mokksy](https://aimock.copilotkit.dev/migrate-from-mokksy) +Step-by-step migration guides: [MSW](https://aimock.copilotkit.dev/migrate-from-msw) · [VidaiMock](https://aimock.copilotkit.dev/migrate-from-vidaimock) · [mock-llm](https://aimock.copilotkit.dev/migrate-from-mock-llm) · [piyook/llm-mock](https://aimock.copilotkit.dev/migrate-from-piyook) · [Python mocks](https://aimock.copilotkit.dev/migrate-from-python-mocks) · [openai-responses](https://aimock.copilotkit.dev/migrate-from-openai-responses) · [Mokksy](https://aimock.copilotkit.dev/migrate-from-mokksy) ## Documentation diff --git a/docs/aws-bedrock/index.html b/docs/aws-bedrock/index.html index 1d6c73e..b37c979 100644 --- a/docs/aws-bedrock/index.html +++ b/docs/aws-bedrock/index.html @@ -214,7 +214,7 @@

Fixture Examples

"response": { "toolCalls": [{ "name": "get_weather", - "arguments": "{\"city\":\"SF\"}" + "arguments": { "city": "SF" } }] } } diff --git a/docs/chat-completions/index.html b/docs/chat-completions/index.html index 1a689bb..3dbc84f 100644 --- a/docs/chat-completions/index.html +++ b/docs/chat-completions/index.html @@ -120,9 +120,10 @@

Unit Test: Tool Calls

tool-calls.test.ts ts
it("returns tool call in streaming mode", async () => {
+  // arguments accepts objects (auto-stringified) or JSON strings
   mock.on(
     { userMessage: "weather" },
-    { toolCalls: [{ name: "get_weather", arguments: '{"city":"SF"}' }] }
+    { toolCalls: [{ name: "get_weather", arguments: { city: "SF" } }] }
   );
 
   const res = await fetch(`${mock.url}/v1/chat/completions`, {
@@ -147,7 +148,7 @@ 
Integration Test: Streaming SSE

           

             streaming-integration.test.ts ts
           

-          
import { createServer, type ServerInstance } from "@copilotkit/aimock/server";
+          
import { createServer, type ServerInstance } from "@copilotkit/aimock";
 
 const instance = await createServer(
   [{ match: { userMessage: "hello" }, response: { content: "Hello! How can I help?" } }],
@@ -192,7 +193,7 @@ 
JSON Fixture

       "response": {
         "toolCalls": [{
           "name": "get_weather",
-          "arguments": "{\"city\":\"SF\"}"
+          "arguments": { "city": "SF" }
         }]
       }
     }
diff --git a/docs/claude-messages/index.html b/docs/claude-messages/index.html
index 5c97580..58c2841 100644
--- a/docs/claude-messages/index.html
+++ b/docs/claude-messages/index.html
@@ -106,7 +106,7 @@ 
Unit Test: Tool Use

           
const toolFixture = {
   match: { userMessage: "weather" },
   response: {
-    toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }]
+    toolCalls: [{ name: "get_weather", arguments: { city: "NYC" } }]
   },
 };
 
diff --git a/docs/cohere/index.html b/docs/cohere/index.html
index 539791b..9491470 100644
--- a/docs/cohere/index.html
+++ b/docs/cohere/index.html
@@ -188,7 +188,7 @@ 
Fixture Examples

         "toolCalls": [
           {
             "name": "web_search",
-            "arguments": "{\"query\":\"latest news\"}"
+            "arguments": { "query": "latest news" }
           }
         ]
       }
diff --git a/docs/docs/index.html b/docs/docs/index.html
index 7863533..10a3488 100644
--- a/docs/docs/index.html
+++ b/docs/docs/index.html
@@ -362,6 +362,8 @@ 
Switching from other tools?

           mock-llm ·
           piyook/llm-mock ·
           Python mocks ·
+          openai-responses
+          ·
           Mokksy
diff --git a/docs/fixtures/index.html b/docs/fixtures/index.html index b023802..c2d0e34 100644 --- a/docs/fixtures/index.html +++ b/docs/fixtures/index.html @@ -123,6 +123,13 @@

Match Fields

number Match on the Nth occurrence of this pattern + + endpoint + string + + Restrict to endpoint type: chat, image, speech, transcription, video, embedding + + predicate function @@ -152,6 +159,11 @@

Response Types

toolCalls[], finishReason? Function call(s) with name + arguments + + Content + Tool Calls + content, toolCalls[], reasoning?, finishReason? + Text and tool calls in a single response + Error error.message, error.type?, status? @@ -179,12 +191,99 @@

Response Types

Video - video.url, video.duration? + video.id, video.status, video.url? Generated video URL with async polling +
+

+ Override fields: Text, Tool Call, and Content + Tool Calls responses + also accept the override fields listed below (id, model, + usage, finishReason, role, + systemFingerprint, created). +

+
+ +
+

+ JSON auto-stringify: In fixture files and programmatic API, + arguments and content fields accept both objects and strings. + Objects are automatically stringified via JSON.stringify(). Use the object + form for readability — no more escaped JSON strings. +

+
+ +

Response Override Fields

+

+ Fixture responses can include optional fields to override auto-generated envelope values. + These map correctly across all provider formats (OpenAI, Claude, Gemini, Responses API). +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
FieldTypeDescription
idstringOverride auto-generated response ID
creatednumberOverride Unix timestamp
modelstringOverride model name in response
usageobject + Override token counts: + { prompt_tokens, completion_tokens, total_tokens }. Also accepts + Anthropic field names (input_tokens, output_tokens) and + Gemini field names (promptTokenCount, + candidatesTokenCount, totalTokenCount). OpenAI Chat + Completions includes usage in the response body; the Responses API uses a separate + response.usage object. When omitted, token counts are auto-computed + from content length +
finishReasonstring + Override finish reason (default: "stop" or "tool_calls"). Provider mappings: + stop → end_turn (Claude), STOP (Gemini); + tool_calls → tool_use (Claude), + FUNCTION_CALL (Gemini); length → + max_tokens (Claude), MAX_TOKENS (Gemini); + content_filter → SAFETY (Gemini), + failed (Responses API) +
rolestringOverride message role (default: "assistant")
systemFingerprintstringAdd system_fingerprint to response
+

Fixture Options

@@ -199,7 +298,7 @@

Fixture Options

- + @@ -220,7 +319,7 @@

Fixture Options

@@ -228,7 +327,8 @@

Fixture Options

@@ -261,8 +361,8 @@

Programmatically

mock.onEmbedding("my text", { embedding: [0.1, 0.2] }); mock.onImage("sunset", { image: { url: "https://example.com/sunset.png" } }); mock.onSpeech("hello", { audio: "SGVsbG8=" }); -mock.onTranscription("audio.mp3", { transcription: { text: "Hello" } }); -mock.onVideo("cats", { video: { url: "https://example.com/cats.mp4" } }); +mock.onTranscription({ transcription: { text: "Hello" } }); +mock.onVideo("cats", { video: { id: "vid-1", status: "completed", url: "https://example.com/cats.mp4" } }); mock.onJsonOutput("data", { key: "value" }); mock.onToolResult("call_123", { content: "Done" }); @@ -305,6 +405,102 @@

Routing Rules

programmatic registration for predicate-based routing.

+ +

Provider Support Matrix

+
latency numberMilliseconds delay before first chunkMilliseconds delay between SSE chunks (streaming)
chunkSize streamingProfile object - Streaming physics profile: { ttftMs, tps, jitter }. See + Streaming physics profile: { ttft, tps, jitter }. See Streaming Physics
chaos object - Per-fixture chaos config: { errorRate, latencyMs, ... }. See + Per-fixture chaos config: { dropRate, malformedRate, disconnectRate }. + See Chaos Testing
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
FeatureOpenAI ChatOpenAI ResponsesClaudeGeminiBedrockAzureOllamaCohere
TextYesYesYesYesYesYesYesYes
Tool CallsYesYesYesYesYesYesYesYes
Content + Tool CallsYesYesYesYesYesYesYesYes
StreamingSSESSESSESSEBinary EventStreamSSENDJSONSSE
ReasoningYesYesYesYesYesYes——
Web Searches—Yes——————
Response OverridesYesYesYesYes—Yes——
diff --git a/docs/gemini/index.html b/docs/gemini/index.html index 672e803..5fc6368 100644 --- a/docs/gemini/index.html +++ b/docs/gemini/index.html @@ -122,7 +122,7 @@

Unit Test: Tool Call

const toolFixture = {
   match: { userMessage: "weather" },
   response: {
-    toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }]
+    toolCalls: [{ name: "get_weather", arguments: { city: "NYC" } }]
   },
 };
 
diff --git a/docs/integrate-adk/index.html b/docs/integrate-adk/index.html
index 17ace3b..a785a12 100644
--- a/docs/integrate-adk/index.html
+++ b/docs/integrate-adk/index.html
@@ -138,7 +138,7 @@ 
Function Calling

         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"city\":\"San Francisco\",\"unit\":\"fahrenheit\"}"
+            "arguments": { "city": "San Francisco", "unit": "fahrenheit" }
           }
         ]
       }
diff --git a/docs/integrate-crewai/index.html b/docs/integrate-crewai/index.html
index d6e3a13..5171b39 100644
--- a/docs/integrate-crewai/index.html
+++ b/docs/integrate-crewai/index.html
@@ -249,7 +249,7 @@ 
Tool Calls

         "toolCalls": [
           {
             "name": "web_search",
-            "arguments": "{\"query\": \"LLM testing frameworks 2025\"}"
+            "arguments": { "query": "LLM testing frameworks 2025" }
           }
         ]
       }
diff --git a/docs/integrate-langchain/index.html b/docs/integrate-langchain/index.html
index 35c96cc..bf5bdaf 100644
--- a/docs/integrate-langchain/index.html
+++ b/docs/integrate-langchain/index.html
@@ -121,7 +121,7 @@ 
Multi-Turn Agent Loops (LangGraph)

       "match": { "userMessage": "plan a trip", "sequenceIndex": 1 },
       "response": {
         "toolCalls": [
-          { "name": "search_flights", "arguments": "{\"origin\":\"SFO\",\"dest\":\"NRT\"}" }
+          { "name": "search_flights", "arguments": { "origin": "SFO", "dest": "NRT" } }
         ]
       }
     },
@@ -159,7 +159,7 @@ 
Tool Call Fixtures

         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"location\":\"San Francisco\",\"unit\":\"fahrenheit\"}"
+            "arguments": { "location": "San Francisco", "unit": "fahrenheit" }
           }
         ]
       }
diff --git a/docs/integrate-mastra/index.html b/docs/integrate-mastra/index.html
index 936d8d6..3e42e43 100644
--- a/docs/integrate-mastra/index.html
+++ b/docs/integrate-mastra/index.html
@@ -126,7 +126,7 @@ 
Tool Call Workflows

         "toolCalls": [
           {
             "name": "search_flights",
-            "arguments": "{\"origin\":\"SFO\",\"destination\":\"NRT\",\"date\":\"2025-03-15\"}"
+            "arguments": { "origin": "SFO", "destination": "NRT", "date": "2025-03-15" }
           }
         ]
       }
@@ -137,7 +137,7 @@ 
Tool Call Workflows

         "toolCalls": [
           {
             "name": "search_hotels",
-            "arguments": "{\"city\":\"Tokyo\",\"checkIn\":\"2025-03-15\",\"checkOut\":\"2025-03-22\"}"
+            "arguments": { "city": "Tokyo", "checkIn": "2025-03-15", "checkOut": "2025-03-22" }
           }
         ]
       }
diff --git a/docs/integrate-pydanticai/index.html b/docs/integrate-pydanticai/index.html
index 0dd22ce..0a8a7e4 100644
--- a/docs/integrate-pydanticai/index.html
+++ b/docs/integrate-pydanticai/index.html
@@ -136,7 +136,7 @@ 
Structured Output

         "toolCalls": [
           {
             "name": "final_result",
-            "arguments": "{\"city\": \"SF\", \"temp\": 72, \"unit\": \"fahrenheit\"}"
+            "arguments": { "city": "SF", "temp": 72, "unit": "fahrenheit" }
           }
         ]
       }
@@ -163,7 +163,7 @@ 
Structured Output

     {
       "match": { "responseFormat": "json_object" },
       "response": {
-        "content": "{\"city\": \"SF\", \"temp\": 72, \"unit\": \"fahrenheit\"}"
+        "content": { "city": "SF", "temp": 72, "unit": "fahrenheit" }
       }
     }
   ]
@@ -218,7 +218,7 @@ 
Tool Calls

         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"city\": \"San Francisco\"}"
+            "arguments": { "city": "San Francisco" }
           }
         ]
       }
diff --git a/docs/migrate-from-openai-responses/index.html b/docs/migrate-from-openai-responses/index.html
new file mode 100644
index 0000000..3322aa7
--- /dev/null
+++ b/docs/migrate-from-openai-responses/index.html
@@ -0,0 +1,437 @@
+
+
+  
+    
+    
+    From openai-responses — aimock
+    
+    
+    
+    
+    
+    
+    
+  
+  
+    
+
+    

+      
+
+      

+        
Switching from openai-responses to aimock

+        

+          openai-responses intercepts httpx calls to mock OpenAI responses inline. aimock runs a
+          real HTTP server with fixture files—no monkey-patching, works with any framework,
+          supports streaming.
+        

+
+        
+        
Before / After

+        
Side-by-side: mocking a chat completion with openai-responses vs. aimock.

+
+        

+          

+            

+              openai-responses (~14 lines) py
+            

+            
import openai_responses
+from openai import OpenAI
+
+@openai_responses.mock()
+def test_chat(openai_mock):
+    openai_mock.chat.completions.create.response = {
+        "choices": [{
+            "index": 0,
+            "message": {"role": "assistant", "content": "Hello!"},
+            "finish_reason": "stop"
+        }]
+    }
+    client = OpenAI()
+    result = client.chat.completions.create(
+        model="gpt-4o", messages=[{"role": "user", "content": "hi"}]
+    )
+    assert result.choices[0].message.content == "Hello!"

+          

+
+          

+            
aimock (6 lines) py

+            
from openai import OpenAI
+
+def test_chat(aimock):
+    aimock.on_message("hi", content="Hello!")
+    client = OpenAI(base_url=aimock.url + "/v1", api_key="test")
+    result = client.chat.completions.create(
+        model="gpt-4o", messages=[{"role": "user", "content": "hi"}]
+    )
+    assert result.choices[0].message.content == "Hello!"

+          

+        

+
+        
Or with fixture files:

+
+        

+          

+            

+              fixtures/chat.json json
+            

+            
{
+  "fixtures": [
+    {
+      "match": { "userMessage": "hi" },
+      "response": { "content": "Hello!" }
+    }
+  ]
+}

+          

+
+          

+            
test_chat.py py

+            
def test_chat(aimock):
+    aimock.load_fixtures("./fixtures/chat.json")
+    client = OpenAI(base_url=aimock.url + "/v1", api_key="test")
+    result = client.chat.completions.create(
+        model="gpt-4o", messages=[{"role": "user", "content": "hi"}]
+    )
+    assert result.choices[0].message.content == "Hello!"

+          

+        

+
+        
+        
Step-by-step migration

+
+        
    
+          
  1. 
+            Install aimock-pytest (replaces
+            pip install openai-responses)
+            
    
+              
    pip install aimock-pytest
    
+            
    
+          
    2. 
+          
  2. 
+            Convert inline mock definitions to fixture files or
+            on_message() calls. Instead of constructing the full response envelope
+            manually, just specify content or toolCalls—aimock
+            generates the envelope automatically.
+          
    3. 
+          
  3. 
+            Replace the decorator —
+            @openai_responses.mock() becomes the aimock pytest fixture
+            parameter (auto-provided by aimock-pytest).
+          
    4. 
+          
  4. 
+            Point the client at aimock — replace OpenAI() with
+            OpenAI(base_url=aimock.url + "/v1", api_key="test").
+          
    5. 
+        

+
+        
+        
Feature mapping

+
+        
+          
+            
+              
+              
+            
+          
+          
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+            
+              
+              
+            
+          
+        
openai-responsesaimock
@openai_responses.mock() decoratoraimock pytest fixture (auto-provided)
openai_mock.chat.completions.create.response = {...}aimock.on_message("pattern", content="...")
Partial envelope (choices required, other fields auto-filled)
+                Just specify content or toolCalls—envelope
+                auto-generated
+              
openai_mock.chat.completions.create.route.callsaimock.journal
Python + OpenAI onlyPython, TypeScript, any LLM provider
Manual SSE chunk construction (streaming.EventStream)Automatic SSE streaming from fixture content
No fixture filesJSON fixture files with match patterns
httpx monkey-patchingReal HTTP server—works with any HTTP client
✗ No record/replaynpx aimock --record captures real API calls
✗ No CI actionCopilotKit/aimock@v1 GitHub Action
✗ No chaos testingError injection, mid-stream disconnects

+
+        
+        
What you gain

+
+        

+          

+            
🌐

+            
Cross-process, cross-language

+            

+              Your Python tests, Node.js frontend, Go microservices, and Playwright E2E tests all
+              hit the same mock server. No per-language patching.
+            

+          

+          

+            
⚡

+            
Built-in SSE for 10+ providers

+            

+              OpenAI, Claude, Gemini, Bedrock, Azure, Vertex AI, Ollama, Cohere. No manual chunk
+              construction.
+            

+          

+          

+            
🔌

+            
WebSocket APIs

+            

+              OpenAI Realtime, Responses WS, Gemini Live. openai-responses cannot intercept
+              WebSocket.
+            

+          

+          

+            
⏺

+            
Record & Replay

+            

+              Proxy real APIs, save as fixtures, replay forever.
+              npx aimock --record --provider-openai https://api.openai.com
+            

+          

+          

+            
📁

+            
Fixture files

+            

+              JSON files on disk. Version-controlled. Shared across tests. No hand-crafted
+              envelopes.
+            

+          

+          

+            
💥

+            
Chaos testing

+            

+              Inject latency, drop chunks, corrupt payloads mid-stream. Test your error handling
+              under realistic failure conditions.
+            

+          

+        

+
+        
+        
CI with GitHub Action

+        
One step replaces all the httpx monkey-patching infrastructure in CI.

+
+        

+          

+            .github/workflows/test.yml yaml
+          

+          
name: Tests
+on: [push, pull_request]
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+
+      - name: Start aimock
+        uses: CopilotKit/aimock@v1
+        with:
+          fixtures: ./fixtures
+
+      - run: pip install -r requirements.txt
+      - run: pytest
+        env:
+          OPENAI_BASE_URL: http://127.0.0.1:4010/v1
+          OPENAI_API_KEY: mock-key

+        

+
+        
+        
CLI / Docker quick start

+
+        

+          

+            

+              
CLI sh

+              
npx aimock -p 4010 -f ./fixtures

+            

+          

+          

+            

+              
Docker sh

+              
docker run -d -p 4010:4010 \
+  -v $(pwd)/fixtures:/fixtures \
+  ghcr.io/copilotkit/aimock:latest \
+  -p 4010 -f /fixtures

+            

+          

+        

+      

+      
+    

+
+    

+      

+        
$ aimock · MIT License

+        
+      

+    

+    
+    
+  
+
diff --git a/docs/ollama/index.html b/docs/ollama/index.html
index 83d954a..8776726 100644
--- a/docs/ollama/index.html
+++ b/docs/ollama/index.html
@@ -182,7 +182,7 @@ 
Tool Calls

       "match": { "userMessage": "weather" },
       "response": {
         "toolCalls": [
-          { "name": "get_weather", "arguments": "{\"city\":\"NYC\"}" }
+          { "name": "get_weather", "arguments": { "city": "NYC" } }
         ]
       }
     }
diff --git a/docs/responses-api/index.html b/docs/responses-api/index.html
index 2dcd9d6..a396308 100644
--- a/docs/responses-api/index.html
+++ b/docs/responses-api/index.html
@@ -117,7 +117,7 @@ 
Unit Test: Tool Call Response

   {
     match: { userMessage: "weather" },
     response: {
-      toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }]
+      toolCalls: [{ name: "get_weather", arguments: { city: "NYC" } }]
     }
   }
 ]);
diff --git a/docs/sidebar.js b/docs/sidebar.js
index 8d092bd..c79ca3c 100644
--- a/docs/sidebar.js
+++ b/docs/sidebar.js
@@ -90,6 +90,7 @@
         { label: "From mock-llm", href: "/migrate-from-mock-llm" },
         { label: "From piyook/llm-mock", href: "/migrate-from-piyook" },
         { label: "From Python Mocks", href: "/migrate-from-python-mocks" },
+        { label: "From openai-responses", href: "/migrate-from-openai-responses" },
         { label: "From Mokksy", href: "/migrate-from-mokksy" },
       ],
     },
diff --git a/docs/structured-output/index.html b/docs/structured-output/index.html
index ffdbe7d..a4d70a1 100644
--- a/docs/structured-output/index.html
+++ b/docs/structured-output/index.html
@@ -111,13 +111,22 @@ 
JSON Fixture

         "responseFormat": "json_object"
       },
       "response": {
-        "content": "{\"answer\":42,\"items\":[\"a\",\"b\"]}"
+        "content": { "answer": 42, "items": ["a", "b"] }
       }
     }
   ]
 }
+
+

+ Auto-stringify: The content field accepts objects in + fixture files. The loader detects typeof === "object" and calls + JSON.stringify() automatically. The escaped-string form + ("{\"answer\":42}") still works for backward compatibility. +

+
+

Match Behavior

diff --git a/docs/transcription/index.html b/docs/transcription/index.html index 0eb0653..cde8b37 100644 --- a/docs/transcription/index.html +++ b/docs/transcription/index.html @@ -96,7 +96,7 @@

Unit Test: Simple Transcription

}); it("returns simple transcription text", async () => { - mock.onTranscription("audio.mp3", { + mock.onTranscription({ transcription: { text: "Hello, how are you today?" }, }); @@ -121,7 +121,7 @@

Unit Test: Verbose Response with Segments

transcription-verbose.test.ts ts
it("returns verbose transcription with words and segments", async () => {
-  mock.onTranscription("meeting.wav", {
+  mock.onTranscription({
     transcription: {
       text: "Welcome to the meeting.",
       words: [
diff --git a/docs/vertex-ai/index.html b/docs/vertex-ai/index.html
index 078ee98..0d46602 100644
--- a/docs/vertex-ai/index.html
+++ b/docs/vertex-ai/index.html
@@ -185,7 +185,7 @@ 
Fixture Examples

         "toolCalls": [
           {
             "name": "analyze_data",
-            "arguments": "{\"dataset\":\"sales_q4\"}"
+            "arguments": { "dataset": "sales_q4" }
           }
         ]
       }
diff --git a/fixtures/example-multi-turn.json b/fixtures/example-multi-turn.json
index 7976f60..abeb3d4 100644
--- a/fixtures/example-multi-turn.json
+++ b/fixtures/example-multi-turn.json
@@ -3,7 +3,7 @@
     {
       "match": { "userMessage": "change background to blue" },
       "response": {
-        "toolCalls": [{ "name": "change_background", "arguments": "{\"background\":\"blue\"}" }]
+        "toolCalls": [{ "name": "change_background", "arguments": { "background": "blue" } }]
       }
     },
     {
diff --git a/fixtures/example-tool-call.json b/fixtures/example-tool-call.json
index 9ad26ab..3c376d4 100644
--- a/fixtures/example-tool-call.json
+++ b/fixtures/example-tool-call.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"location\":\"San Francisco\",\"unit\":\"fahrenheit\"}"
+            "arguments": { "location": "San Francisco", "unit": "fahrenheit" }
           }
         ]
       }
diff --git a/fixtures/examples/adk/gemini-agent.json b/fixtures/examples/adk/gemini-agent.json
index 929f125..5222d9f 100644
--- a/fixtures/examples/adk/gemini-agent.json
+++ b/fixtures/examples/adk/gemini-agent.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"city\":\"San Francisco\",\"unit\":\"fahrenheit\"}"
+            "arguments": { "city": "San Francisco", "unit": "fahrenheit" }
           }
         ]
       }
@@ -23,7 +23,7 @@
         "toolCalls": [
           {
             "name": "google_search",
-            "arguments": "{\"query\":\"latest AI news\"}"
+            "arguments": { "query": "latest AI news" }
           }
         ]
       }
@@ -34,11 +34,11 @@
         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"city\":\"New York\",\"unit\":\"celsius\"}"
+            "arguments": { "city": "New York", "unit": "celsius" }
           },
           {
             "name": "get_time",
-            "arguments": "{\"timezone\":\"America/New_York\"}"
+            "arguments": { "timezone": "America/New_York" }
           }
         ]
       }
diff --git a/fixtures/examples/langchain/agent-loop.json b/fixtures/examples/langchain/agent-loop.json
index 852e71f..8a4216d 100644
--- a/fixtures/examples/langchain/agent-loop.json
+++ b/fixtures/examples/langchain/agent-loop.json
@@ -12,7 +12,7 @@
         "toolCalls": [
           {
             "name": "search_flights",
-            "arguments": "{\"origin\":\"SFO\",\"dest\":\"NRT\"}"
+            "arguments": { "origin": "SFO", "dest": "NRT" }
           }
         ]
       }
diff --git a/fixtures/examples/mastra/agent-workflow.json b/fixtures/examples/mastra/agent-workflow.json
index 3ac6505..aa9a4d7 100644
--- a/fixtures/examples/mastra/agent-workflow.json
+++ b/fixtures/examples/mastra/agent-workflow.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "search_flights",
-            "arguments": "{\"origin\":\"SFO\",\"destination\":\"NRT\",\"date\":\"2025-03-15\"}"
+            "arguments": { "origin": "SFO", "destination": "NRT", "date": "2025-03-15" }
           }
         ]
       }
@@ -17,7 +17,7 @@
         "toolCalls": [
           {
             "name": "search_hotels",
-            "arguments": "{\"city\":\"Tokyo\",\"checkIn\":\"2025-03-15\",\"checkOut\":\"2025-03-22\"}"
+            "arguments": { "city": "Tokyo", "checkIn": "2025-03-15", "checkOut": "2025-03-22" }
           }
         ]
       }
diff --git a/fixtures/examples/pydanticai/structured-output.json b/fixtures/examples/pydanticai/structured-output.json
index 3cca151..c5c47d3 100644
--- a/fixtures/examples/pydanticai/structured-output.json
+++ b/fixtures/examples/pydanticai/structured-output.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "final_result",
-            "arguments": "{\"city\": \"SF\", \"temp\": 72, \"unit\": \"fahrenheit\"}"
+            "arguments": { "city": "SF", "temp": 72, "unit": "fahrenheit" }
           }
         ]
       }
diff --git a/skills/write-fixtures/SKILL.md b/skills/write-fixtures/SKILL.md
index 066643c..c61f722 100644
--- a/skills/write-fixtures/SKILL.md
+++ b/skills/write-fixtures/SKILL.md
@@ -51,12 +51,18 @@ Multi-part content (e.g., `[{type: "text", text: "hello"}]`) is automatically ex
 ### Tool Calls
 
 ```typescript
+// Preferred: object form (auto-stringified by the fixture loader)
+{
+  toolCalls: [{ name: "get_weather", arguments: { city: "SF" } }];
+}
+
+// Also accepted: JSON string form (backward compatible)
 {
   toolCalls: [{ name: "get_weather", arguments: '{"city":"SF"}' }];
 }
 ```
 
-**`arguments` MUST be a JSON string**, not an object. This is the #1 mistake.
+**Both object and string forms are accepted** for `arguments`. The fixture loader auto-stringifies objects via `JSON.stringify()`. Object form is preferred for readability.
 
 ### Embedding
 
@@ -106,7 +112,7 @@ Use `match: { endpoint: "image" }` to prevent cross-matching with chat fixtures.
 ### Video
 
 ```typescript
-{ video: { url: "https://example.com/video.mp4", duration: 10 } }
+{ video: { id: "vid-1", status: "completed", url: "https://example.com/video.mp4" } }
 ```
 
 Video uses async polling — `POST /v1/videos` creates, `GET /v1/videos/{id}` checks status.
@@ -148,7 +154,7 @@ The most common pattern. Fixture 1 triggers the tool call, fixture 2 handles the
 ```typescript
 // Step 1: User asks about weather → LLM calls tool
 mock.onMessage("weather", {
-  toolCalls: [{ name: "get_weather", arguments: '{"city":"SF"}' }],
+  toolCalls: [{ name: "get_weather", arguments: { city: "SF" } }],
 });
 
 // Step 2: Tool result comes back → LLM responds with text
@@ -198,7 +204,7 @@ mock.addFixture({
 // First call returns tool call, second returns text
 mock.on(
   { userMessage: "status", sequenceIndex: 0 },
-  { toolCalls: [{ name: "check_status", arguments: "{}" }] },
+  { toolCalls: [{ name: "check_status", arguments: {} }] },
 );
 mock.on({ userMessage: "status", sequenceIndex: 1 }, { content: "All systems operational." });
 ```
@@ -233,7 +239,7 @@ mock.addFixture({
       return typeof sys === "string" && sys.includes("Flights found: false");
     },
   },
-  response: { toolCalls: [{ name: "search_flights", arguments: "{}" }] },
+  response: { toolCalls: [{ name: "search_flights", arguments: {} }] },
 });
 ```
 
@@ -307,6 +313,17 @@ mock.nextRequestError(429, { message: "Rate limited", type: "rate_limit_error" }
       "match": { "userMessage": "hello" },
       "response": { "content": "Hi!" }
     },
+    {
+      "match": { "userMessage": "weather" },
+      "response": {
+        "toolCalls": [
+          {
+            "name": "get_weather",
+            "arguments": { "city": "SF", "units": "fahrenheit" }
+          }
+        ]
+      }
+    },
     {
       "match": { "inputText": "search query" },
       "response": { "embedding": [0.1, 0.2, 0.3] }
@@ -319,6 +336,8 @@ mock.nextRequestError(429, { message: "Rate limited", type: "rate_limit_error" }
 }
 ```
 
+**JSON auto-stringify**: In JSON fixture files, `arguments` and `content` can be objects — the loader auto-stringifies them with `JSON.stringify()`. The escaped-string form (`"{\"city\":\"SF\"}"`) still works but objects are preferred for readability.
+
 JSON files cannot use `RegExp` or `predicate` — those are code-only features. `streamingProfile` is supported in JSON fixture files.
 
 Load with `mock.loadFixtureFile("./fixtures/greetings.json")` or `mock.loadFixtureDir("./fixtures/")`.
@@ -360,11 +379,64 @@ All providers share the same fixture pool — write fixtures once, they work for
 | `POST /v1/videos`                                                                        | OpenAI        | HTTP      |
 | `GET /v1/videos/{id}`                                                                    | OpenAI        | HTTP      |
 
+## Response Template Overrides
+
+Fixture responses can include optional override fields to control auto-generated envelope values. These are merged into the provider-specific response format (OpenAI, Claude, Gemini, Responses API).
+
+| Field               | Type   | Default                   | Description                                                                                                                                                                                                                                                                |
+| ------------------- | ------ | ------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `id`                | string | auto-generated            | Override response ID (e.g., `chatcmpl-custom`)                                                                                                                                                                                                                             |
+| `created`           | number | `Date.now()/1000`         | Override Unix timestamp                                                                                                                                                                                                                                                    |
+| `model`             | string | echoes request            | Override model name in response                                                                                                                                                                                                                                            |
+| `usage`             | object | zeroed                    | Override token counts: `{ prompt_tokens, completion_tokens, total_tokens }`. OpenAI Chat includes usage in response body; Responses API uses `response.usage`. When omitted, auto-computed from content length                                                             |
+| `finishReason`      | string | `"stop"` / `"tool_calls"` | Override finish reason. Mappings: `stop` -> `end_turn` (Claude), `STOP` (Gemini); `tool_calls` -> `tool_use` (Claude), `FUNCTION_CALL` (Gemini); `length` -> `max_tokens` (Claude), `MAX_TOKENS` (Gemini); `content_filter` -> `SAFETY` (Gemini), `failed` (Responses API) |
+| `role`              | string | `"assistant"`             | Override message role                                                                                                                                                                                                                                                      |
+| `systemFingerprint` | string | (omitted)                 | Add `system_fingerprint` to response                                                                                                                                                                                                                                       |
+
+### Example
+
+```typescript
+mock.onMessage("hello", {
+  content: "Hi!",
+  model: "gpt-4-turbo-2024-04-09",
+  usage: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 },
+  systemFingerprint: "fp_abc123",
+});
+```
+
+### In JSON fixtures
+
+```json
+{
+  "match": { "userMessage": "hello" },
+  "response": {
+    "content": "Hi!",
+    "model": "gpt-4-turbo-2024-04-09",
+    "usage": { "prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15 },
+    "systemFingerprint": "fp_abc123"
+  }
+}
+```
+
+These fields map correctly across all provider formats — for example, `finishReason: "stop"` becomes `finish_reason: "stop"` in OpenAI, `stop_reason: "end_turn"` in Claude, and `finishReason: "STOP"` in Gemini.
+
+## Provider Support Matrix
+
+| Feature              | OpenAI Chat | OpenAI Responses | Claude | Gemini | Bedrock | Azure | Ollama | Cohere |
+| -------------------- | ----------- | ---------------- | ------ | ------ | ------- | ----- | ------ | ------ |
+| Text                 | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | Yes    | Yes    |
+| Tool Calls           | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | Yes    | Yes    |
+| Content + Tool Calls | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | Yes    | Yes    |
+| Streaming            | SSE         | SSE              | SSE    | SSE    | Binary  | SSE   | NDJSON | SSE    |
+| Reasoning            | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | --     | --     |
+| Web Searches         | --          | Yes              | --     | --     | --      | --    | --     | --     |
+| Response Overrides   | Yes         | Yes              | Yes    | Yes    | --      | Yes   | --     | --     |
+
 ## Critical Gotchas
 
 1. **Order matters** — first match wins. Specific fixtures before general ones. Use `prependFixture()` to force priority.
 
-2. **`arguments` must be a JSON string** — `"arguments": "{\"key\":\"value\"}"` not `"arguments": {"key":"value"}`. The type system enforces this but JSON fixtures can get it wrong silently.
+2. **`arguments` accepts both objects and strings** — `"arguments": {"key":"value"}` (preferred, auto-stringified) or `"arguments": "{\"key\":\"value\"}"` (legacy). The same applies to `content` fields that contain JSON. The fixture loader detects `typeof === "object"` and calls `JSON.stringify()` automatically.
 
 3. **Latency is per-chunk, not total** — `latency: 100` means 100ms between each SSE chunk, not 100ms total response time. Similarly, `truncateAfterChunks` and `disconnectAfterMs` are for simulating stream interruptions (added in v1.3.0).
 
@@ -611,7 +683,7 @@ const mock = await LLMock.create({ port: 0 }); // creates + starts in one call
 | `onModerate(pattern, result)`           | Match moderation requests by input          |
 | `onImage(pattern, response)`            | Match image generation by prompt            |
 | `onSpeech(pattern, response)`           | Match TTS by input text                     |
-| `onTranscription(match, response)`      | Match audio transcription                   |
+| `onTranscription(response)`             | Match audio transcription                   |
 | `onVideo(pattern, response)`            | Match video generation by prompt            |
 | `mount(path, handler)`                  | Mount a Mountable (VectorMock, etc.)        |
 | `url` / `baseUrl`                       | Server URL (throws if not started)          |
diff --git a/src/stream-collapse.ts b/src/stream-collapse.ts
index c50e87c..31bad19 100644
--- a/src/stream-collapse.ts
+++ b/src/stream-collapse.ts
@@ -15,9 +15,6 @@ import type { Logger } from "./logger.js";
 // Result type shared by all collapse functions
 // ---------------------------------------------------------------------------
 
-// TODO: Consider making this a discriminated union ({ type: "text"; content: string }
-// | { type: "toolCalls"; toolCalls: ToolCall[] } | { type: "empty" }) to prevent
-// ambiguous results and simplify downstream consumers.
 export interface CollapseResult {
   content?: string;
   reasoning?: string;

From 320d4669d43fd09208bdcd0292f7a2bc1b14b9f7 Mon Sep 17 00:00:00 2001
From: Jordan Ritter 
Date: Wed, 15 Apr 2026 16:38:51 -0700
Subject: [PATCH 4/4] chore: release v1.14.0

---
 package-lock.json | 7134 +++++++++++++++++++++++++++++++++++++++++++++
 package.json      |    2 +-
 2 files changed, 7135 insertions(+), 1 deletion(-)
 create mode 100644 package-lock.json

diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 0000000..1782bab
--- /dev/null
+++ b/package-lock.json
@@ -0,0 +1,7134 @@
+{
+  "name": "@copilotkit/aimock",
+  "version": "1.14.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "@copilotkit/aimock",
+      "version": "1.14.0",
+      "license": "MIT",
+      "bin": {
+        "aimock": "dist/aimock-cli.js",
+        "llmock": "dist/cli.js"
+      },
+      "devDependencies": {
+        "@anthropic-ai/sdk": "^0.78.0",
+        "@arethetypeswrong/cli": "^0.17.3",
+        "@commitlint/cli": "^19.8.1",
+        "@commitlint/config-conventional": "^19.8.0",
+        "@eslint/js": "^9.30.0",
+        "@google/generative-ai": "^0.24.0",
+        "@types/node": "^22.0.0",
+        "@vitest/coverage-v8": "^3.2.4",
+        "eslint": "^9.30.0",
+        "eslint-config-prettier": "^10.1.5",
+        "husky": "^9.1.7",
+        "lint-staged": "^16.3.2",
+        "openai": "^4.0.0",
+        "prettier": "^3.6.2",
+        "publint": "^0.3.12",
+        "tsdown": "^0.12.5",
+        "tsx": "^4.19.0",
+        "typescript": "^5.8.3",
+        "typescript-eslint": "^8.35.1",
+        "vitest": "^3.2.1"
+      },
+      "engines": {
+        "node": ">=20.15.0"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
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+      "dev": true,
+      "license": "Apache-2.0",
+      "dependencies": {
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+        "@jridgewell/trace-mapping": "^0.3.24"
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+      "dev": true
+    },
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diff --git a/package.json b/package.json
index 544bbfa..5ba4b46 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@copilotkit/aimock",
-  "version": "1.13.0",
+  "version": "1.14.0",
   "description": "Mock infrastructure for AI application testing — LLM APIs, image generation, text-to-speech, transcription, video generation, MCP tools, A2A agents, AG-UI event streams, vector databases, search, rerank, and moderation. One package, one port, zero dependencies.",
   "license": "MIT",
   "keywords": [