mirror of
https://gitea.toothfairyai.com/ToothFairyAI/tf_code.git
synced 2026-04-07 09:18:41 +00:00
refactor: apply minimal tfcode branding
- Rename packages/opencode → packages/tfcode (directory only) - Rename bin/opencode → bin/tfcode (CLI binary) - Rename .opencode → .tfcode (config directory) - Update package.json name and bin field - Update config directory path references (.tfcode) - Keep internal code references as 'opencode' for easy upstream sync - Keep @opencode-ai/* workspace package names This minimal branding approach allows clean merges from upstream opencode repository while providing tfcode branding for users.
This commit is contained in:
@@ -0,0 +1,233 @@
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import { describe, expect, test } from "bun:test"
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import path from "path"
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import { Session } from "../../src/session"
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import { SessionPrompt } from "../../src/session/prompt"
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import { Log } from "../../src/util/log"
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import { Instance } from "../../src/project/instance"
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import { MessageV2 } from "../../src/session/message-v2"
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const projectRoot = path.join(__dirname, "../..")
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Log.init({ print: false })
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// Skip tests if no API key is available
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const hasApiKey = !!process.env.ANTHROPIC_API_KEY
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// Helper to run test within Instance context
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async function withInstance<T>(fn: () => Promise<T>): Promise<T> {
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return Instance.provide({
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directory: projectRoot,
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fn,
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})
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}
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describe("StructuredOutput Integration", () => {
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test.skipIf(!hasApiKey)(
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"produces structured output with simple schema",
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async () => {
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await withInstance(async () => {
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const session = await Session.create({ title: "Structured Output Test" })
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const result = await SessionPrompt.prompt({
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sessionID: session.id,
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parts: [
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{
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type: "text",
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text: "What is 2 + 2? Provide a simple answer.",
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},
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],
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format: {
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type: "json_schema",
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schema: {
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type: "object",
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properties: {
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answer: { type: "number", description: "The numerical answer" },
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explanation: { type: "string", description: "Brief explanation" },
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},
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required: ["answer"],
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},
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retryCount: 0,
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},
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})
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// Verify structured output was captured (only on assistant messages)
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expect(result.info.role).toBe("assistant")
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if (result.info.role === "assistant") {
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expect(result.info.structured).toBeDefined()
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expect(typeof result.info.structured).toBe("object")
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const output = result.info.structured as any
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expect(output.answer).toBe(4)
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// Verify no error was set
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expect(result.info.error).toBeUndefined()
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}
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// Clean up
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// Note: Not removing session to avoid race with background SessionSummary.summarize
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})
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},
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60000,
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)
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test.skipIf(!hasApiKey)(
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"produces structured output with nested objects",
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async () => {
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await withInstance(async () => {
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const session = await Session.create({ title: "Nested Schema Test" })
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const result = await SessionPrompt.prompt({
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sessionID: session.id,
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parts: [
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{
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type: "text",
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text: "Tell me about Anthropic company in a structured format.",
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},
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],
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format: {
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type: "json_schema",
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schema: {
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type: "object",
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properties: {
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company: {
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type: "object",
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properties: {
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name: { type: "string" },
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founded: { type: "number" },
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},
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required: ["name", "founded"],
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},
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products: {
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type: "array",
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items: { type: "string" },
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},
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},
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required: ["company"],
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},
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retryCount: 0,
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},
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})
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// Verify structured output was captured (only on assistant messages)
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expect(result.info.role).toBe("assistant")
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if (result.info.role === "assistant") {
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expect(result.info.structured).toBeDefined()
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const output = result.info.structured as any
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expect(output.company).toBeDefined()
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expect(output.company.name).toBe("Anthropic")
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expect(typeof output.company.founded).toBe("number")
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if (output.products) {
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expect(Array.isArray(output.products)).toBe(true)
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}
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// Verify no error was set
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expect(result.info.error).toBeUndefined()
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}
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// Clean up
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// Note: Not removing session to avoid race with background SessionSummary.summarize
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})
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},
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60000,
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)
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test.skipIf(!hasApiKey)(
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"works with text outputFormat (default)",
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async () => {
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await withInstance(async () => {
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const session = await Session.create({ title: "Text Output Test" })
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const result = await SessionPrompt.prompt({
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sessionID: session.id,
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parts: [
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{
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type: "text",
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text: "Say hello.",
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},
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],
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format: {
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type: "text",
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},
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})
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// Verify no structured output (text mode) and no error
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expect(result.info.role).toBe("assistant")
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if (result.info.role === "assistant") {
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expect(result.info.structured).toBeUndefined()
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expect(result.info.error).toBeUndefined()
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}
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// Verify we got a response with parts
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expect(result.parts.length).toBeGreaterThan(0)
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// Clean up
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// Note: Not removing session to avoid race with background SessionSummary.summarize
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})
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},
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60000,
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)
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test.skipIf(!hasApiKey)(
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"stores outputFormat on user message",
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async () => {
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await withInstance(async () => {
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const session = await Session.create({ title: "OutputFormat Storage Test" })
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await SessionPrompt.prompt({
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sessionID: session.id,
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parts: [
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{
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type: "text",
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text: "What is 1 + 1?",
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},
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],
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format: {
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type: "json_schema",
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schema: {
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type: "object",
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properties: {
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result: { type: "number" },
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},
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required: ["result"],
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},
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retryCount: 3,
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},
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})
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// Get all messages from session
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const messages = await Session.messages({ sessionID: session.id })
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const userMessage = messages.find((m) => m.info.role === "user")
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// Verify outputFormat was stored on user message
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expect(userMessage).toBeDefined()
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if (userMessage?.info.role === "user") {
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expect(userMessage.info.format).toBeDefined()
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expect(userMessage.info.format?.type).toBe("json_schema")
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if (userMessage.info.format?.type === "json_schema") {
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expect(userMessage.info.format.retryCount).toBe(3)
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}
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}
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// Clean up
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// Note: Not removing session to avoid race with background SessionSummary.summarize
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})
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},
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60000,
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)
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test("unit test: StructuredOutputError is properly structured", () => {
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const error = new MessageV2.StructuredOutputError({
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message: "Failed to produce valid structured output after 3 attempts",
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retries: 3,
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})
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expect(error.name).toBe("StructuredOutputError")
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expect(error.data.message).toContain("3 attempts")
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expect(error.data.retries).toBe(3)
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const obj = error.toObject()
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expect(obj.name).toBe("StructuredOutputError")
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expect(obj.data.retries).toBe(3)
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})
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})
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