mirror of
https://github.com/furyhawk/ai_agent.git
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furyhawk
8351e73d39
- Implemented `conversation-store` for managing conversations and messages. - Created `file-preview-store` to handle file preview state. - Added `sidebar-store` for sidebar visibility management. - Developed `theme-store` for theme persistence and management. - Introduced `kb-selection-store` for managing active knowledge base selections with persistence. chore: define API and chat types - Added types for API responses, authentication, chat messages, conversations, and projects. - Defined interfaces for various entities including users, sessions, and message ratings. build: configure TypeScript and testing setup - Set up `tsconfig.json` for TypeScript configuration. - Created `vitest.config.ts` for testing configuration with Vitest. - Added `vitest.setup.ts` for global test setup including mocks for Next.js router and media queries. - Configured Vercel deployment settings in `vercel.json`.
33 lines
784 B
Python
33 lines
784 B
Python
"""Logfire observability configuration."""
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from typing import Any
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import logfire
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from app.core.config import settings
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def setup_logfire() -> None:
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"""Configure Logfire instrumentation."""
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logfire.configure(
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token=settings.LOGFIRE_TOKEN,
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service_name=settings.LOGFIRE_SERVICE_NAME,
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environment=settings.LOGFIRE_ENVIRONMENT,
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send_to_logfire="if-token-present",
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)
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def instrument_app(app: Any) -> None:
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"""Instrument FastAPI app with Logfire."""
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logfire.instrument_fastapi(app)
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def instrument_asyncpg() -> None:
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"""Instrument asyncpg for PostgreSQL."""
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logfire.instrument_asyncpg()
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def instrument_pydantic_ai() -> None:
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"""Instrument PydanticAI for AI agent observability."""
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logfire.instrument_pydantic_ai()
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