#Pydantic-ai
Showing 24 of 24 repositories tagged #pydantic-ai, ranked by stars
AI observability platform for production LLM and agent systems.
Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
🐮 The SDK to build AI agents as decentralized, event-driven microservices
🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.
A production-ready FastAPI platform with modular components and a built-in control plane.
File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.
AI-powered synthetic data generation — structured tables, unstructured documents, multi-provider LLM support, referential integrity, and code-gen mode for millions of rows
An opinionated list of awesome Pydantic-AI frameworks, libraries, software and resources.
Guardrail capabilities for Pydantic AI — cost tracking, prompt injection detection, PII filtering, secret redaction, tool permissions, and async guardrails. Built on pydantic-ai's native capabilities API.
Task Planning and Tracking toolset for Pydantic AI agents, enabling hierarchical task management with subtasks, PostgreSQL storage for multi-tenancy, and an event system for webhooks and callbacks.
Visualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram — tools, nested sub-agents, tokens and exact cost.
Context Management processor for Pydantic AI agents, providing LLM-powered summarization or zero-cost sliding window trimming to handle infinite/long-running conversations without context overflow. Supports flexible triggers, safe cutoffs, and custom prompts for efficient AI apps.
PineScript Expert: A Retrieval-Augmented Generation (RAG) agent using Pydantic AI that provides accurate Pine Script v6 guidance. It answers questions, offers code examples, and generates custom indicators/strategies for TradingView. Combines vector search with LLM capabilities for precise Pine Script programming assistance.
Subagent Delegation framework for Pydantic AI, enabling nested subagents that can spawn their own specialists on-the-fly, with smart sync/async/auto mode selection, runtime agent creation, and clean multi-agent architecture. Adds specialization, parallel execution, and task cancellation.
Turn domain experts into production AI agents.
Composable Python framework for LLM agent workflows focused on simplicity and developer experience. We ❤️ OSS.
Define AI agent roles in YAML and run them anywhere: CLI, API server, or autonomous daemon
RE:从0开始的RAG学习生活。包含LangChain、LangGraph、LangSmith、PydanticAI等框架和工具的学习教程。
FastAPI backend blueprint for AI agent apps: DDD, SQLAlchemy, Taskiq, admin UI, RAG infra, and Claude/Codex collaboration harness.
A complete AI-powered video generation pipeline that enhances creative prompts and generates high-quality videos using Google's Veo3 API, requiring only a single API key.