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Read, transform, and write AI agent session logs across formats

Project description

agentstream

Read, transform, and write AI agent session logs across formats (Claude, Codex, Gemini) with AG-UI events as the canonical format.

Installation

pip install agentstream

Quick Start

import agentstream

# Discover all agent sessions
sessions = agentstream.discover_sessions("~/myproject")

# Read as grouped messages
for msg in agentstream.read_messages(sessions[0]):
    print(f"{msg.role}: {msg.text[:100]}")
    for tc in msg.tool_calls:
        print(f"  -> {tc.name}({tc.args})")

Development

uv venv
uv pip install -e ".[dev]"

# Run tests with coverage
uv run pytest

# Type checking (ty is Astral's fast type checker)
uv run ty check

# Linting
uv run ruff check agentstream

Version Management

Python and Node.js versions are centralized in .python-version and .node-version files at the repo root.

Auto-updated from version files:

  • CI workflows
  • devcontainer
  • Docker builds (via make up in backend/)

Manual updates required when changing versions:

File Settings to update
pyproject.toml requires-python, target-version (ruff), python-version (ty)
daemon/pyproject.toml requires-python, target-version
backend/api/pyproject.toml requires-python, target-version

Version policy:

  • SDK (agentstream): Supports Python 3.12+ for broad compatibility
  • Backend services (daemon, api): Require Python 3.13+ (we control deployment)

License

MIT

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