agentrspy

agentrspy

agentrspy is the Python port of the Rust project agentrs: an async-native SDK for building AI agents with a unified provider interface, composable tools, MCP integration, pluggable memory, multi-agent orchestration, and YAML-driven runtime loading.

The goal of this port is behavioral fidelity first and Python ergonomics second: keep the same core capabilities, preserve the tested runtime semantics, and expose them through idiomatic Python APIs with type hints.

Highlights

• OpenAI, Azure OpenAI, Anthropic, Gemini, and Ollama providers
• Built-in tools for calculation, web fetch/search, filesystem access, shell execution, and inline Python execution
• MCP support for local stdio servers and remote Streamable HTTP endpoints
• In-memory, sliding-window, token-aware, vector, and optional Redis memory backends
• Single-agent loops for ReAct, single-pass reasoning, plan-and-execute, and custom instruction modes
• Multi-agent orchestration with sequential, parallel, supervisor, and graph routing
• YAML loading for single agents, orchestrators, and generic runtimes
• Examples, tests, and rewritten Python-first documentation

Installation

pip install -e .

Optional extras:

pip install -e ".[redis]"
pip install -e ".[dev]"
pip install -e ".[full]"

Quick Start

from __future__ import annotations

import asyncio

from dotenv import load_dotenv

from agentrspy.prelude import Agent, CalculatorTool, LoopStrategy, OpenAiProvider


async def main() -> None:
    load_dotenv()

    llm = OpenAiProvider.from_env().build()

    agent = (
        Agent.builder()
        .llm(llm)
        .system("You are a concise assistant.")
        .tool(CalculatorTool())
        .loop_strategy(LoopStrategy.react(max_steps=4))
        .build()
    )

    output = await agent.run("What is 7 * (8 + 1)?")
    print(output.text)


if __name__ == "__main__":
    asyncio.run(main())

Project Layout

agentrspy/
├── agentrspy/                 # import-friendly wrapper package
├── src/agentrspy/core         # shared contracts, types, errors, streaming helpers
├── src/agentrspy/llm          # provider implementations
├── src/agentrspy/tools        # registry, built-ins, decorator-based tools
├── src/agentrspy/mcp          # MCP transport, protocol, adapters
├── src/agentrspy/memory       # memory backends
├── src/agentrspy/agents       # builders and execution loops
├── src/agentrspy/multi        # orchestrators, graph routing, event bus
├── src/agentrspy/config.py    # YAML runtime loading
├── examples/                  # runnable Python examples
├── tests/                     # pytest coverage for parity-critical behavior
└── docs/                      # rewritten Python documentation

Core Semantics Preserved From Rust

• ReAct stores the assistant message before executing tool calls
• Tool failures are returned to the model as tool error outputs instead of raising immediately
• Sequential multi-agent routing feeds each agent the previous agent's output.text
• Parallel multi-agent routing merges outputs as [agent_name]\n<text> blocks separated by blank lines
• Agent streaming intentionally replays final whitespace-split tokens after completion to match the current Rust behavior
• YAML runtime loading accepts the same practical config shapes used by the Rust examples and integration tests

Examples

• examples/simple_agent.py
• examples/custom_tool.py
• examples/streaming.py
• examples/multi_agent.py
• examples/mcp_integration.py
• examples/yaml_single_agent.py
• examples/yaml_multi_agent.py
• examples/yaml_runtime.py

Run one with:

python examples/simple_agent.py
python examples/multi_agent.py
python examples/yaml_runtime.py

Or use the module entrypoint:

python -m agentrspy --config examples/configs/single-agent.yaml --input "What is 21 * 2?"

Environment Variables

See .env.example for a ready-to-copy template.

Common values:

• OPENAI_API_KEY
• OPENAI_BASE_URL
• OPENAI_MODEL
• AZURE_OPENAI_ENDPOINT
• AZURE_OPENAI_KEY
• AZURE_OPENAI_MODEL
• ANTHROPIC_API_KEY
• GEMINI_API_KEY
• CONTEXT7_API_KEY

Documentation

• docs/architecture.md
• docs/providers.md
• docs/tools.md
• docs/memory.md
• docs/multi-agent.md
• docs/yaml.md
• docs/migration-from-rust.md
• docs/testing.md

Testing

python -m pytest
python -m compileall src agentrspy tests examples

Notes

• Python integers do not overflow like Rust integer types; where Rust relied on integer bounds, Python callers should validate explicitly.
• The Rust macro-based #[tool] workflow becomes a Python @tool(...) decorator.
• Rust feature flags become Python extras and import-time availability rather than compile-time gating.
• Anthropic and Gemini currently implement complete() but keep streaming intentionally unsupported, matching the Rust scope.

License

MIT.