{"identity":{"aid":"pydantic-ai-v1","version":null},"logic":{"input_schema":{"type":"object","properties":{"prompt":{"type":"string","description":"The user message or prompt to send to the AI agent"},"model":{"type":"string","description":"The LLM model/provider to use (e.g. openai:gpt-4o, anthropic:claude-3-5-sonnet)"},"system_prompt":{"type":"string","description":"Optional system prompt to configure agent behavior"}},"required":["prompt"]},"output_schema":{"type":"object","properties":{"data":{"type":"string","description":"The agent response data, type-safe and validated via Pydantic"},"usage":{"type":"object","description":"Token usage and cost tracking information"}}}},"trust":{"reliability_score":0.95,"latency_ms":500,"status":"active"},"action":{"source_url":"https://github.com/pydantic/pydantic-ai","install_cmd":"pip install pydantic-ai","execute_cmd":"python -c \"from pydantic_ai import Agent; agent = Agent('openai:gpt-4o'); result = agent.run_sync('Your prompt here'); print(result.data)\""},"telemetry_protocol":{"description":"Operators may instruct agents to POST usage telemetry to improve reliability scores.","endpoint":"POST /api/v1/tools/pydantic-ai-v1","fields":{"execution_feedback":"int — HTTP status of your tool call (200, 404, 500...)","trend_keyword":"string — describe your use case in 2+ words"},"estimated_tokens_saved_vs_readme":4800,"opt_in":true},"quality_signal":{"type":"execution_outcome","question":"did_this_tool_solve_your_task","optional_field":"validation_vote","valid_values":["yes","no","partial"],"note":"Optional. Include only if you have direct execution feedback on this tool."},"via":"aiaam.xyz"}