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AGNT5 Python SDK

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Build reliable AI agents and durable workflows in Python. The AGNT5 SDK provides typed components, workflow checkpoints, retries, streaming, tools, human-in-the-loop coordination, evaluation, and runtime observability.

Requirements

  • Python 3.11 or newer
  • An AGNT5 runtime for deployed execution

Installation

pip install agnt5

Quick start

Define a function. Type hints are used to derive its input and output schema.

from agnt5 import FunctionContext, function


@function(retries=3, backoff="exponential")
async def greet(ctx: FunctionContext, name: str) -> dict[str, str]:
    ctx.logger.info("greeting user", extra={"name": name})
    return {"message": f"Hello, {name}!"}

Register application components with a worker for runtime-backed execution:

import asyncio

from agnt5 import Worker


async def main() -> None:
    worker = Worker(service_name="hello-python")
    await worker.run()


asyncio.run(main())

Decorated functions, workflows, agents, tools, and scorers are registered when their modules are imported. See examples/app.py for a complete application entrypoint.

Invoke a deployed component

from agnt5 import Client

client = Client(
    gateway_url="https://gw.agnt5.com",
    api_key="agnt5_sk_...",
    deployment_id="deployment-id",
)

result = client.run("greet", {"name": "Ada"})
print(result)

Client also supports asynchronous submission, status and result polling, streaming events, batches, cancellation, workflow resume, chat, and evaluation. Configuration can be supplied explicitly or through AGNT5_GATEWAY_URL, AGNT5_API_KEY, and AGNT5_DEPLOYMENT_ID.

Core APIs

API Purpose
@function Typed, retryable units of work
@workflow Durable multi-step orchestration and checkpointing
Agent and @agent Model and tool orchestration
@tool Typed tools with generated schemas
ctx.state Durable workflow and component state
ctx.memory Conversation and application memory
Client / AsyncClient Invoke and observe deployed components
Worker Register components and serve runtime dispatch

In async workflows, use await ctx.state.set_async(key, value) and await ctx.state.delete_async(key). These await the runtime's durable acknowledgment while allowing other workflows to run. Reads remain local via ctx.state.get(key). The existing synchronous set and delete methods remain supported, but block their calling thread while waiting for persistence.

The shared Rust runtime foundation lives in agnt5dev/sdk-core. Vendor sandbox adapters live in agnt5dev/sdk-integrations.

Examples and documentation

  • examples/ contains functions, workflows, agents, tools, streaming, HITL, MCP, chat, and evaluation examples.
  • docs/ contains SDK-specific guides.
  • AGNT5 documentation covers platform concepts and deployment.

Development

uv sync --all-groups
uv run ruff check src tests
uv run pytest tests/unit -q
uv build --sdist

Development builds use a sibling checkout of sdk-core.

Contributing

See CONTRIBUTING.md. Report security issues according to SECURITY.md.

License

Licensed under the Apache License 2.0.

Release files for agnt5 0.11.2

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

Source distribution (sdist)

Source distribution for agnt5 0.11.2
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Built distributions (wheels)

Table of built distributions (wheels) for agnt5 0.11.2
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agnt5-0.11.2-cp310-abi3-manylinux_2_28_x86_64.whl CPython 3.10 abi3 Linux glibc 2.28+ x86-64 Details
agnt5-0.11.2-cp310-abi3-manylinux_2_28_aarch64.whl CPython 3.10 abi3 Linux glibc 2.28+ ARM64 Details
agnt5-0.11.2-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details

Total release size: 54.3 MB

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