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- Consolidate memory tools into single unified surface - Rename IChingTool → ZenTool across agent tools - Rename tool files: proc_tool→exec_tool, net_tool→fetch_tool, vcs_tool→git_tool, todo_tool→tasks_tool - Add hanzo_tool.py for unified Hanzo API surface - Add workspace_tool.py for config management - Add hanzo-tools-ui package with GitHub API integration - Add unified.py core tool dispatcher - Update IAM client to RFC-compliant OAuth endpoints - Fix pytest-asyncio plugin conflict: pin <1.0.0, fix addopts double-registration, and align test APIs to current signatures - Fix integration tests: PermissionManager API, ReviewProtocol focus values, AgentTool parameter names, mock llm module for CI
1.4 KiB
1.4 KiB
hanzo-tools-agent
Agent orchestration tools for Hanzo MCP.
Installation
pip install hanzo-tools-agent
# Optional: API mode
pip install hanzo-tools-agent[api]
# Optional: High-performance
pip install hanzo-tools-agent[perf]
Tools
agent - Unified Agent Runner
Run various AI CLI agents with auto-backgrounding.
# Run with default agent
agent(action="run", prompt="Explain this code")
# Run specific agent
agent(action="run", name="gemini", prompt="Review this PR")
# List available agents
agent(action="list")
# Check agent status
agent(action="status", name="claude")
Available Agents:
claude- Anthropic Claude Code CLIcodex- OpenAI Codex CLIgemini- Google Gemini CLIgrok- xAI Grok CLIqwen- Alibaba Qwen CLIvibe- Vibe coding agentcode- Hanzo Code agentdev- Hanzo Dev agent
Direct API Mode
Configure agents for direct API calls without CLI:
// ~/.hanzo/agents/custom.json
{
"endpoint": "https://api.openai.com/v1/chat/completions",
"api_type": "openai",
"model": "gpt-4",
"env_key": "OPENAI_API_KEY"
}
zen - Hanzo Zen Guidance
zen(challenge="How should I approach this refactoring?")
review - Code Review
review(
focus="FUNCTIONALITY",
work_description="Implemented auto-import feature",
file_paths=["/path/to/file.py"]
)
License
MIT