develop-ai-functions-example — SDK для упрощенной разработки AI-агентов

--- name: develop-ai-functions-example description: Develop examples for AI SDK functions. Use when creating, running, or modifying examples under examples/ai-functions/src to validate provider support, demonstrate features, or create test fixtures. metadata: internal: true --- ## AI Functions Examples The `examples/ai-functions/` directory contains scripts for validating, testing, and iterating on AI SDK functions across providers. ## Example Categories Examples are organized by AI SDK function in `examples/ai-functions/src/`: | Directory | Purpose | | ------------------ | ---------------------------------------------------- | | `generate-text/` | Non-streaming text generation with `generateText()` | | `stream-text/` | Streaming text generation with `streamText()` | | `generate-object/` | Structured output generation with `generateObject()` | | `stream-object/` | Streaming structured output with `streamObject()` | | `agent/` | `ToolLoopAgent` examples for agentic workflows | | `embed/` | Single embedding generation with `embed()` | | `embed-many/` | Batch embedding generation with `embedMany()` | | `generate-image/` | Image generation with `generateImage()` | | `generate-speech/` | Text-to-speech with `generateSpeech()` | | `transcribe/` | Audio transcription with `transcribe()` | | `rerank/` | Document reranking with `rerank()` | | `middleware/` | Custom middleware implementations | | `registry/` | Provider registry setup and usage | | `telemetry/` | OpenTelemetry integration | | `complex/` | Multi-component examples (agents, routers) | | `lib/` | Shared utilities (not examples) | | `tools/` | Reusable tool definitions | ## File Naming Convention Examples follow the pattern: `{provider}-{feature}.ts` | Pattern | Example | Description | | ---------------------------------------- | ------------------------------------------ | -------------------------- | | `{provider}.ts` | `openai.ts` | Basic provider usage | | `{provider}-{feature}.ts` | `openai-tool-call.ts` | Specific feature | | `{provider}-{sub-provider}.ts` | `amazon-bedrock-anthropic.ts` | Provider with sub-provider | | `{provider}-{sub-provider}-{feature}.ts` | `google-vertex-anthropic-cache-control.ts` | Sub-provider with feature | ## Example Structure All examples use the `run()` wrapper from `lib/run.ts` which: - Loads environment variables from `.env` - Provides error handling with detailed API error logging ### Basic Template ```typescript import { providerName } from '@ai-sdk/provider-name'; import { generateText } from 'ai'; import { run } from '../lib/run'; run(async () => { const result = await generateText({ model: providerName('model-id'), prompt: 'Your prompt here.', }); console.log(result.text); console.log('Token usage:', result.usage); console.log('Finish reason:', result.finishReason); }); ``` ### Streaming Template ```typescript import { providerName } from '@ai-sdk/provider-name'; import { streamText } from 'ai'; import { printFullStream } from '../lib/print-full-stream'; import { run } from '../lib/run'; run(async () => { const result = streamText({ model: providerName('model-id'), prompt: 'Your prompt here.', }); await printFullStream({ result }); }); ``` ### Tool Calling Template ```typescript import { providerName } from '@ai-sdk/provider-name'; import { generateText, tool } from 'ai'; import { z } from 'zod'; import { run } from '../lib/run'; run(async () => { const result = await generateText({ model: providerName('model-id'), tools: { myTool: tool({ description: 'Tool description', inputSchema: z.object({ param: z.string().describe('Parameter description'), }), execute: async ({ param }) => { return { result: `Processed: ${param}` }; }, }), }, prompt: 'Use the tool to...', }); console.log(JSON.stringify(result, null, 2)); }); ``` ### Structured Output Template ```typescript import { providerName } from '@ai-sdk/provider-name'; import { generateObject } from 'ai'; import { z } from 'zod'; import { run } from '../lib/run'; run(async () => { const result = await generateObject({ model: providerName('model-id'), schema: z.object({ name: z.string(), items: z.array(z.string()), }), prompt: 'Generate a...', }); console.log(JSON.stringify(result.object, null, 2)); console.log('Token usage:', result.usage); }); ``` ## Running Examples From the `examples/ai-functions` directory: ```bash pnpm tsx src/generate-text/openai.ts pnpm tsx src/stream-text/openai-tool-call.ts pnpm tsx src/agent/openai-generate.ts ``` ## When to Write Examples Write examples when: 1. **Adding a new provider**: Create basic examples for each supported API (`generateText`, `streamText`, `generateObject`, etc.) 2. **Implementing a new feature**: Demonstrate the feature with at least one provider example 3. **Reproducing a bug**: Create an example that shows the issue for debugging 4. **Adding provider-specific options**: Show how to use `providerOptions` for provider-specific settings 5. **Creating test fixtures**: Use examples to generate API response fixtures (see `capture-api-response-test-fixture` skill) ## Utility Helpers The `lib/` directory contains shared utilities: | File | Purpose | | ---------------------- | -------------------------------------------------------- | | `run.ts` | Error-handling wrapper with `.env` loading | | `print.ts` | Clean object printing (removes undefined values) | | `print-full-stream.ts` | Colored streaming output for tool calls, reasoning, text | | `save-raw-chunks.ts` | Save streaming chunks for test fixtures | | `present-image.ts` | Display images in terminal | | `save-audio.ts` | Save audio files to disk | ### Using print utilities ```typescript import { print } from '../lib/print'; // Pretty print objects without undefined values print('Result:', result); print('Usage:', result.usage, { depth: 2 }); ``` ### Using printFullStream ```typescript import { printFullStream } from '../lib/print-full-stream'; const result = streamText({ ... }); await printFullStream({ result }); // Colored output for text, tool calls, reasoning ``` ## Reusable Tools The `tools/` directory contains reusable tool definitions: ```typescript import { weatherTool } from '../tools/weather-tool'; const result = await generateText({ model: openai('gpt-4o'), tools: { weather: weatherTool }, prompt: 'What is the weather in San Francisco?', }); ``` ## Best Practices 1. **Keep examples focused**: Each example should demonstrate one feature or use case 2. **Use descriptive prompts**: Make it clear what the example is testing 3. **Handle errors gracefully**: The `run()` wrapper handles this automatically 4. **Use realistic model IDs**: Use actual model IDs that work with the provider 5. **Add comments for complex logic**: Explain non-obvious code patterns 6. **Reuse tools when appropriate**: Use `weatherTool` or create new reusable tools in `tools/`