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relay-teams

Role-driven multi-agent orchestration framework built with strong typing and tool-only collaboration flow. Runtime model execution uses pydantic_ai with OpenAI-compatible endpoints.

Evaluation Snapshot

Recent SWE-bench snapshots are archived under docs/evaluations/swebench/. Current snapshots cover only the first 100 items from SWE-bench Verified, not the full benchmark.

Using glm-5,Temperature: 0.7,Top P:0.95.

Mode Benchmark Pass Rate Passed Failed Mean Duration Input Tokens Cached Input Output Tokens Requests Tool Calls Report
Normal SWE-bench Verified 100 72.0% 72 28 369.2s 60,265,198 58,214,976 451,537 2,432 2,484 HTML
Orchestration SWE-bench Verified 100 73.0% 73 27 704.2s 103,016,077 95,659,776 1,886,195 6,026 7,171 HTML

Highlights:

  • Orchestration currently reaches 73/100 on SWE-bench Verified 100, with 96 runs finishing in completed state and 4 ending in failed.
  • Normal mode currently reaches 72/100 on SWE-bench Verified 100, with 97 runs finishing in completed state and 3 ending in failed.
  • Token usage is reported directly in the table so model IO and tool activity can be compared without deriving cost assumptions.

Web Interface

Agent Teams Web Interface

Start the server with uv run relay-teams server start and open http://127.0.0.1:8000 in your browser. Use uv run relay-teams server restart to restart the managed server, and uv run relay-teams server stop --force to force stop it. The web UI now includes a language toggle beside the settings button so you can switch between English and Simplified Chinese in-page.

Frontend assets are now decoupled under frontend/dist and served by the backend.

Quick start

1) Install dependencies

Use the setup script for your platform, install from PyPI, or install directly with uv.

Windows:

.\setup.bat

Linux/macOS:

sh setup.sh

Install from PyPI:

pip install relay-teams

Direct install:

uv sync --extra dev
uv pip install -e .

For local development, prefer uv run --extra dev ... over raw python, pytest, or ruff so commands execute inside the repository environment instead of a system interpreter.

2) help

relay-teams --help

# for evals
relay-teams-evals --help

If the relay-teams command is still missing in a fresh local checkout, the project package was not installed into the active virtual environment. Run uv pip install -e . or use uv run python -m relay_teams --help as a fallback.

Examples:

uv run --extra dev pytest -q
uv run --extra dev ruff check --fix
uv run --extra dev basedpyright

Metadata

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