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docs: add LLM.md project guide
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# LLM.md - Hanzo Python SDK
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## Quick Start
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```bash
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uv sync --all-packages
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uv run python -c "from hanzoai import __version__; print(__version__)"
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```
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## Packages
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### Core (Workspace Members)
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| Package | Import | Description |
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|---------|--------|-------------|
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| hanzoai | `import hanzoai` | Official Hanzo API client |
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| hanzo-mcp | `import hanzo_mcp` | MCP server with 39 tools |
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| hanzo-memory | `import hanzo_memory` | Memory service with SQLite/vector |
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| hanzo-repl | `import hanzo_repl` | Interactive REPL |
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| hanzo-agent | `import hanzo_agent` | Agent framework |
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### Tool Packages (Entry Points)
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All tools discovered via `[project.entry-points."hanzo.tools"]`:
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- `hanzo-tools-shell` - zsh, ps, open, npx, uvx
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- `hanzo-tools-browser` - Playwright automation
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- `hanzo-tools-fs` - read, write, edit, tree, find, search, ast
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- `hanzo-tools-memory` - Unified memory tool
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- `hanzo-tools-reasoning` - think, critic
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- `hanzo-tools-agent` - CLI agent runner, iching, review
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- `hanzo-tools-api` - Generic REST API via OpenAPI
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- `hanzo-tools-lsp` - Language server protocol
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- `hanzo-tools-refactor` - AST-based refactoring
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- `hanzo-tools-llm` - LLM calls, consensus
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## Architecture
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```
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hanzo-mcp (thin wrapper)
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└── discovers tools via entry points from hanzo-tools-* packages
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hanzo-tools-*
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└── each exports TOOLS list via entry point
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```
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**Entry Point Pattern:**
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```toml
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[project.entry-points."hanzo.tools"]
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shell = "hanzo_tools.shell:TOOLS"
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```
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## Key Patterns
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### Tool Registration
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```python
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class MyTool(BaseTool):
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name = "my_tool"
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@property
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def description(self) -> str:
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return "Tool description"
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async def call(self, ctx, **params) -> str:
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pass
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```
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### Async (Non-blocking)
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```python
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# Use asyncio subprocess
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proc = await asyncio.create_subprocess_exec(*cmd, stdout=PIPE, stderr=PIPE)
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stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=30)
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# Use aiofiles for file I/O
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async with aiofiles.open(path) as f:
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content = await f.read()
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```
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### Auto-backgrounding
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Commands auto-background after 45s. Use `ps` tool to monitor.
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## Memory System
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SQLite-based with optional vector search (sqlite-vec).
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```
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~/.hanzo/
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├── memory/ # Global markdown files
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└── db/
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└── global.db # SQLite with FTS5
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/project/.hanzo/
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├── memory/ # Project memories
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└── db/
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└── memory.db # Project database
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```
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**Backends:** local (default), sqlite, lancedb (optional), kuzudb (optional)
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## API Tool
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Generic REST API tool with OpenAPI specs.
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```python
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api(action="list") # List providers
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api(action="config", provider="github", api_key="x") # Configure
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api(action="call", provider="github", operation="listRepos")
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```
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Auto-detects: `GITHUB_TOKEN`, `CLOUDFLARE_API_TOKEN`, `OPENAI_API_KEY`, etc.
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### Hanzo API Providers
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All Hanzo services have unified OpenAPI specs at `/Users/z/work/hanzo/openapi/`:
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| Provider | Service | Base URL | Spec |
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|----------|---------|----------|------|
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| `hanzo` | Unified API | api.hanzo.ai | `hanzo.yaml` |
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| `hanzo-iam` | Identity/Auth | iam.hanzo.ai | `iam/openapi.yaml` |
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| `hanzo-gateway` | LLM Gateway | gateway.hanzo.ai | `gateway/openapi.yaml` |
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| `hanzo-commerce` | E-commerce | api.hanzo.ai/v1 | `commerce/openapi.yaml` |
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| `hanzo-vector` | Vector DB | vector.hanzo.ai | `vector/openapi.yaml` |
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| `hanzo-cloud` | AI Platform | cloud.hanzo.ai | `cloud/openapi.yaml` |
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| `hanzo-nexus` | RAG/Knowledge | nexus.hanzo.ai | `nexus/openapi.yaml` |
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```python
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# Example: Call IAM API
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api(action="spec", provider="hanzo-iam")
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api(action="ops", provider="hanzo-iam", search="user")
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api(action="call", provider="hanzo-iam", operation="getUser", params='{"id": "admin/user1"}')
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```
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## Testing
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```bash
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uv run pytest tests/ -v
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uv run python -c "from hanzoai import __version__; print(__version__)"
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```
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## Common Issues
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**Import error:** Run `uv sync --all-packages`
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**Missing tool:** Check entry point in package's pyproject.toml
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**Backend not available:** Install optional deps (lancedb, kuzu, sqlite-vec)
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