Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.
日本語の概要は準備中です。原文の説明を表示しています。
Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.
日本語の概要は準備中です。原文の説明を表示しています。
Add custom local tools to ToolUniverse alongside the 1000+ built-in tools. Covers JSON-config tools (simplest, no code), Python class tools (REST/SOAP/GraphQL APIs, computational logic), and best-practices for return schemas. Use for wrapping new APIs, adding domain-specific computations, or contributing tools to the registry.
日本語の概要は準備中です。原文の説明を表示しています。
Extract typed JSON from public website pages using a schema.
日本語の概要は準備中です。原文の説明を表示しています。
A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol discovery, setting up agent metadata, configuring authentication schemes, defining agent capabilities, or when user mentions agent card, agent discovery, A2A metadata, service endpoint configuration, or agent authentication setup.
日本語の概要は準備中です。原文の説明を表示しています。
The Shape System — the content_ir kind registry for structured content. Use when adding, activating, or rendering a kind/shape, writing `__kind` JSON, kind schemas or samples, XML-tag/fence detection surfaces, kind components, workflow node input_kind/output_kind, or binding agent output to a kind.
日本語の概要は準備中です。原文の説明を表示しています。
Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.
日本語の概要は準備中です。原文の説明を表示しています。
PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).
日本語の概要は準備中です。原文の説明を表示しています。
Review and fix OpenMetadata connector documentation against JSON schema and source code. Validates availableFeatures, permissions, yaml.mdx configuration, and overall completeness. Automatically fixes gaps.
日本語の概要は準備中です。原文の説明を表示しています。
Use when asked to run, read, or interpret react-doctor output on the Namias portfolio. Covers the npm scripts, the doctor.config.json schema, the score model, the 12-rule catalog, and which findings are real vs false-positive by design.
日本語の概要は準備中です。原文の説明を表示しています。
Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.
日本語の概要は準備中です。原文の説明を表示しています。
Add zod schema validation for CLI options and YAML/JSON config files. Generic pattern for runtime validation with type-safe parsing and clear error messages in any Commander.js CLI.
日本語の概要は準備中です。原文の説明を表示しています。