5 مستودعات
Methods for defining agent tools using standard Python functions.
Distinguishing note: Focuses on the function-based authoring pattern.
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This framework provides a development toolkit for building autonomous agents that utilize language models to solve complex, non-deterministic tasks. Its core design centers on a code-executing architecture where agents generate and run Python code snippets to perform logic, data manipulation, and tool interactions. By moving beyond structured data formats, the system enables agents to manage program flow and object state through iterative reasoning cycles. The project distinguishes itself through its focus on code-based agent implementation and secure execution environments. Developers can ch
Enables tool creation by converting Python functions using type hints and docstrings.
FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface compone
Derives tool metadata and schemas automatically from function signatures and type hints.
Ironclaw is an LLM orchestration framework and AI agent gateway designed to connect large language models with external tools, messaging interfaces, and persistent memory systems. It functions as a communication layer that routes interactions between users and AI models via HTTP webhooks and various messaging channels. The system focuses on secure tool execution through a WebAssembly sandbox and isolated containers, which allows the framework to run untrusted code and dynamically generate new tools from natural language descriptions. Security middleware provides prompt injection defense and s
Compiles natural language descriptions into functional WebAssembly modules for safe, dynamic tool execution.
This is an open-source Python SDK for building and orchestrating production-grade AI agents. It provides a unified framework for creating conversational agents that can use tools, maintain state, and coordinate across multiple language model providers including OpenAI, Anthropic, Google, Amazon Bedrock, and locally-hosted models. The SDK supports multi-agent orchestration through graphs, teams, and swarms, allowing several specialized agents to collaborate on complex tasks. Agents can be composed as callable tools that other agents invoke, and the framework includes policy handlers that inspe
Defines agent tools using standard Python functions with docstring and signature for model understanding.
Harmony هو SDK ذكاء اصطناعي مصمم لترميز المحادثات، وتنسيق تخطيطات التفكير، وتحليل المخرجات الخام، وتحديد مخططات استدعاء الأدوات. يوفر نظاماً لتحويل الحوارات المنظمة واستدعاءات الأدوات إلى تسلسلات الرموز المطلوبة لاستنتاج وتدريب النماذج اللغوية الكبيرة. يتضمن المشروع منسق مخرجات ينظم سلاسل التفكير والمخرجات متعددة القنوات في تخطيطات متسقة لمنع فقدان الرموز. كما يتميز بمحلل استجابة يحول رموز الإكمال الخام والبث المباشر مرة أخرى إلى كائنات وأدوار رسائل منظمة. يدير SDK تكامل الأدوات من خلال إطار عمل لتحديد الوظائف القابلة للاستدعاء ومساحات الأسماء. كما يوفر قدرات لتحليل الرموز في الوقت الفعلي، وتكوين سلوك النموذج، وتسلسل المحادثة القائم على الحالة.
Organizes callable functions into hierarchies to specify the exact operations a model can execute.