Skip to main content

AIGC: Label: "1" ContentProducer: 001191440300708461136T1XGW3 ProduceID: 3e9b297b16411e0e0848fc0302358070_9f6cc124744311f1897e5254002afed2 ReservedCode1: IMz08bNnClQ30HefCeW7qyiOyWeXzDuNrXHE5WRO5QkzLJqdjephTgTAmi0TrkvcT0NZ+gKPRuzSPQM4VBEYtDZfVOw9lVTsYJcGnxbUAGFnrM+V13g78mBsOnYa9BL56dEcqwICuI6mRlFWgvODbNtl8KRQ8OsZ13fBwaHtSlr9GXQUZ/plPV+ctJQ= ContentPropagator: 001191440300708461136T1XGW3 PropagateID: 3e9b297b16411e0e0848fc0302358070_9f6cc124744311f1897e5254002afed2 ReservedCode2: IMz08bNnClQ30HefCeW7qyiOyWeXzDuNrXHE5WRO5QkzLJqdjephTgTAmi0TrkvcT0NZ+gKPRuzSPQM4VBEYtDZfVOw9lVTsYJcGnxbUAGFnrM+V13g78mBsOnYa9BL56dEcqwICuI6mRlFWgvODbNtl8KRQ8OsZ13fBwaHtSlr9GXQUZ/plPV+ctJQ=

AgentOS v1.0

Production-ready multi-model agent framework.

Quick Start

pip install agentos

With an API key:

export OPENAI_API_KEY=sk-...
agentos "What's the weather in Beijing?"

Without an API key (mock demo mode):

agentos demo

Features

  • LLM Provider: OpenAI / DeepSeek / Anthropic, unified interface
  • Tool-Using Agent: Autonomous multi-step reasoning with Function Calling
  • Streaming: run_stream() for real-time step yielding
  • Retry & Checkpoint: Configurable retry + JSON checkpoint/resume
  • Mock Mode: Test without API keys
  • A2A Protocol: Agent-to-agent communication
  • Swarm Coordination: Multi-agent topologies

CLI

agentos <task>         Run a task
agentos demo           Weather agent demo
agentos serve          Start API server
agentos version        Show version

Provider Auto-Detection

Env Var Provider Default Model
OPENAI_API_KEY OpenAI gpt-4o-mini
DEEPSEEK_API_KEY DeepSeek deepseek-chat
ANTHROPIC_API_KEY Anthropic claude-sonnet-4

Python API

from agentos.llm import create_provider
from agentos.llm.base import Tool, ToolParameter
from agentos.agent import ToolAgent, ToolExecutor, AgentConfig

provider = create_provider("openai")
executor = ToolExecutor()
executor.register(
    Tool.from_function("get_weather", "Get weather", {
        "city": ToolParameter(type="string", description="City name"),
    }),
    lambda city: f"{city}: 22°C sunny",
)

agent = ToolAgent(provider, executor, config=AgentConfig())
result = agent.run("What's the weather in Tokyo?")
print(result.final_answer)

(内容由AI生成,仅供参考)

Metadata

Release files for agentos-framework 1.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for agentos-framework 1.0.5
File Interpreter ABI Platform
agentos_framework-1.0.5-py3-none-any.whl Python 3 none any Details

Release files / agentos_framework-1.0.5-py3-none-any.whl

Download URL agentos_framework-1.0.5-py3-none-any.whl
Size 380.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f8210c67930ccd40bb145adb292c7c65436da0b77d94d99f535dc0abb5c72b0e
BLAKE2b-256 checksum
How to use checksums
b439767d6e1775f4067e20132c8865fc511f325977e704f1068e446fbe14179f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.6

Release history Release notifications | RSS feed

This release

1.0.5 This release

1 release file

1.0.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page