> ## Documentation Index > Fetch the complete documentation index at: https://docs.turso.tech/llms.txt > Use this file to discover all available pages before exploring further. # Python SDK > AgentFS Python SDK for building AI agents The AgentFS Python SDK provides an async interface for building AI agents with persistent storage. ## Installation ```bash theme={null} pip install agentfs-sdk ``` ## Quick Start ```python theme={null} import asyncio from agentfs_sdk import AgentFS, AgentFSOptions async def main(): # Open an agent filesystem agent = await AgentFS.open(AgentFSOptions(id='my-agent')) # Use key-value store await agent.kv.set('config', {'debug': True}) config = await agent.kv.get('config') # Use filesystem await agent.fs.write_file('/notes.txt', 'Hello, AgentFS!') content = await agent.fs.read_file('/notes.txt') # Track tool calls call_id = await agent.tools.start('search', {'query': 'Python'}) await agent.tools.success(call_id, {'results': ['result1']}) await agent.close() asyncio.run(main()) ``` ## Opening a Filesystem ### By Agent ID Creates database at `.agentfs/{id}.db`: ```python theme={null} agent = await AgentFS.open(AgentFSOptions(id='my-agent')) ``` ### By Path Specify a custom database path: ```python theme={null} agent = await AgentFS.open(AgentFSOptions(path='./data/mydb.db')) ``` ### Context Manager Automatically closes the database: ```python theme={null} async with await AgentFS.open(AgentFSOptions(id='my-agent')) as agent: await agent.kv.set('key', 'value') # Database is closed when exiting ``` ## Key-Value Store Simple key-value storage with JSON serialization. ### Set a Value ```python theme={null} await agent.kv.set('user:123', {'name': 'Alice', 'age': 30}) await agent.kv.set('counter', 42) await agent.kv.set('active', True) ``` ### Get a Value ```python theme={null} user = await agent.kv.get('user:123') # Returns None if key doesn't exist ``` ### List Keys ```python theme={null} # List all keys with prefix keys = await agent.kv.list('user:') # Returns: ['user:123', 'user:456', ...] ``` ### Delete a Key ```python theme={null} await agent.kv.delete('user:123') ``` ## Filesystem POSIX-like filesystem operations. ### Write a File Creates parent directories automatically: ```python theme={null} await agent.fs.write_file('/data/config.json', '{"key": "value"}') # Write bytes await agent.fs.write_file('/data/image.png', image_bytes) ``` ### Read a File ```python theme={null} # Read as string (default) content = await agent.fs.read_file('/data/config.json') # Read as bytes data = await agent.fs.read_file('/data/image.png', encoding=None) ``` ### List Directory ```python theme={null} entries = await agent.fs.readdir('/data') # Returns: ['config.json', 'image.png', ...] ``` ### Get File Stats ```python theme={null} stats = await agent.fs.stat('/data/config.json') print(f"Size: {stats.size} bytes") print(f"Modified: {stats.mtime}") print(f"Is file: {stats.is_file()}") print(f"Is directory: {stats.is_dir()}") ``` ### Delete a File ```python theme={null} await agent.fs.delete_file('/data/config.json') ``` ### Create Directory ```python theme={null} await agent.fs.mkdir('/data/subdir') ``` ## Tool Calls Track and analyze tool/function calls for debugging and auditing. ### Start and Complete ```python theme={null} # Start a tool call call_id = await agent.tools.start('search', {'query': 'Python'}) # ... perform the operation ... # Mark as successful await agent.tools.success(call_id, {'results': ['result1', 'result2']}) # Or mark as failed await agent.tools.error(call_id, 'Connection timeout') ``` ### Record Completed Call If you have start and end times: ```python theme={null} await agent.tools.record( name='search', started_at=1234567890.0, completed_at=1234567892.0, parameters={'query': 'Python'}, result={'results': ['result1']} ) ``` ### Query Tool Calls ```python theme={null} # Get by name calls = await agent.tools.get_by_name('search', limit=10) # Get recent calls recent = await agent.tools.get_recent(since=1234567890.0) # Get by ID call = await agent.tools.get(42) ``` ### Get Statistics ```python theme={null} stats = await agent.tools.get_stats() for stat in stats: print(f"{stat.name}:") print(f" Total calls: {stat.total_calls}") print(f" Successful: {stat.successful}") print(f" Failed: {stat.failed}") print(f" Avg duration: {stat.avg_duration_ms:.2f}ms") ``` ## Complete Example ```python theme={null} import asyncio import time from agentfs_sdk import AgentFS, AgentFSOptions async def main(): async with await AgentFS.open(AgentFSOptions(id='demo-agent')) as agent: # Store configuration await agent.kv.set('agent:config', { 'model': 'gpt-4', 'temperature': 0.7 }) # Create a research document research = """ # Research Notes ## Topic: AgentFS AgentFS provides persistent storage for AI agents. """ await agent.fs.write_file('/research/agentfs.md', research) # Track a simulated tool call call_id = await agent.tools.start('web_search', { 'query': 'AgentFS documentation' }) # Simulate some work await asyncio.sleep(0.1) await agent.tools.success(call_id, { 'results_count': 5, 'top_result': 'https://docs.turso.tech/agentfs' }) # List what we created files = await agent.fs.readdir('/research') print(f"Files: {files}") # Get tool stats stats = await agent.tools.get_stats() for stat in stats: print(f"{stat.name}: {stat.total_calls} calls") asyncio.run(main()) ``` ## API Reference ### AgentFS | Method | Description | | - | - | | `AgentFS.open(options)` | Open or create an agent filesystem | | `agent.close()` | Close the database connection | | `agent.kv` | Key-value store interface | | `agent.fs` | Filesystem interface | | `agent.tools` | Tool calls interface | ### AgentFSOptions | Property | Type | Description | | - | - | - | | `id` | `str` | Agent identifier (creates `.agentfs/{id}.db`) | | `path` | `str` | Custom database path | ### KvStore | Method | Description | | - | - | | `set(key, value)` | Store a value | | `get(key)` | Retrieve a value | | `delete(key)` | Delete a key | | `list(prefix)` | List keys with prefix | ### Filesystem | Method | Description | | - | - | | `write_file(path, content)` | Write file contents | | `read_file(path, encoding)` | Read file contents | | `readdir(path)` | List directory entries | | `stat(path)` | Get file metadata | | `delete_file(path)` | Delete a file | | `mkdir(path)` | Create directory | ### ToolCalls | Method | Description | | - | - | | `start(name, params)` | Start tracking a call | | `success(id, result)` | Mark call as successful | | `error(id, message)` | Mark call as failed | | `record(...)` | Record a completed call | | `get(id)` | Get call by ID | | `get_by_name(name, limit)` | Query by tool name | | `get_recent(since)` | Get recent calls | | `get_stats()` | Get usage statistics | ## Next Steps Using AgentFS with OpenAI Agents SDK Using AgentFS with LlamaIndex This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.