Migrate to Claude Agent SDK framework (v0.2.0)
BREAKING CHANGE: Replaced FastAPI server wrapper with direct Claude Agent SDK integration ## Major Changes ### Architecture - **OLD:** Bot → FastAPI Server → claude-code-sdk → Claude - **NEW:** Bot → Claude Agent SDK → Claude (Pro subscription OR API) - Eliminated HTTP server overhead - Single-process architecture ### LLM Backend (llm_interface.py) - Implemented Claude Agent SDK as DEFAULT mode - Added three-mode architecture: - agent-sdk (default) - Uses Pro subscription - direct-api - Pay-per-token Anthropic API - legacy-server - Backward compat with old setup - Created async/sync bridge using anyio - Preserved all existing functionality (17 tools, memory, scheduling) ### Dependencies (requirements.txt) - Replaced: claude-code-sdk → claude-agent-sdk>=0.1.0 - Added: anyio>=4.0.0 for async bridging - Removed: fastapi, uvicorn (no longer needed for default mode) ### New Files - ajarbot.py - Unified launcher with pre-flight checks - run.bat - Windows one-command launcher (auto-setup) - pyproject.toml - Python package metadata - MIGRATION.md - Upgrade guide from old setup - AGENT_SDK_IMPLEMENTATION.md - Technical documentation - QUICK_REFERENCE_AGENT_SDK.md - Quick reference card - test_agent_sdk.py - Comprehensive test suite ### Updated Documentation - CLAUDE_CODE_SETUP.md - Rewritten for Agent SDK - README.md - Updated quick start for new default - .env.example - Added AJARBOT_LLM_MODE configuration ### Deleted Files - claude_code_server.py - Replaced by agent-sdk integration - heartbeat.py - Superseded by scheduled_tasks.py - pulse_brain.py - Unused in production ## Migration Path Old setup: 1. Start FastAPI server: python claude_code_server.py 2. Start bot: python bot_runner.py 3. Set USE_CLAUDE_CODE_SERVER=true New setup: 1. Run: run.bat (or python ajarbot.py) - That's it! Single command. ## Benefits ✅ Zero API costs (uses Claude Pro subscription) ✅ Simplified deployment (no separate server) ✅ Single-command launch (run.bat) ✅ Faster response times (no HTTP overhead) ✅ All functionality preserved (17 tools, memory, adapters) ✅ Backward compatible (old env vars still work) ## Compatibility - Python 3.10+ required - Node.js required (for Claude Code CLI bundled with SDK) - Windows 11 tested and optimized - All existing tools, memory system, and adapters unchanged Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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# Claude Agent SDK Implementation
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## Overview
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This implementation integrates the Claude Agent SDK as the **default backend** for the Ajarbot LLM interface, replacing the previous pay-per-token API model with Claude Pro subscription-based access.
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## Architecture
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### Strategy: Thin Wrapper (Strategy A)
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The Agent SDK is implemented as a **pure LLM backend replacement**:
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- SDK handles only the LLM communication layer
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- Existing `agent.py` tool execution loop remains unchanged
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- All 17 tools (file operations, Gmail, Calendar, etc.) work identically
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- Zero changes required to `agent.py`, `tools.py`, or adapters
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### Three Modes of Operation
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The system now supports three modes (in priority order):
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1. **Agent SDK Mode** (DEFAULT)
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- Uses Claude Pro subscription
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- No API token costs
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- Enabled by default when `claude-agent-sdk` is installed
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- Set `USE_AGENT_SDK=true` (default)
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2. **Direct API Mode**
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- Pay-per-token using Anthropic API
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- Requires `ANTHROPIC_API_KEY`
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- Enable with `USE_DIRECT_API=true`
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3. **Legacy Server Mode** (Deprecated)
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- Uses local FastAPI server wrapper
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- Enable with `USE_CLAUDE_CODE_SERVER=true`
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## Key Implementation Details
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### 1. Async/Sync Bridge
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The Agent SDK is async-native, but the bot uses synchronous interfaces. We bridge them using `anyio.from_thread.run()`:
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```python
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# Synchronous chat_with_tools() calls async _agent_sdk_chat_with_tools()
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response = anyio.from_thread.run(
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self._agent_sdk_chat_with_tools,
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messages,
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tools,
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system,
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max_tokens
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)
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```
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### 2. Response Format Conversion
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Agent SDK responses are converted to `anthropic.types.Message` format for compatibility:
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```python
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def _convert_sdk_response_to_message(self, sdk_response: Dict[str, Any]) -> Message:
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"""Convert Agent SDK response to anthropic.types.Message format."""
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# Extracts:
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# - TextBlock for text content
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# - ToolUseBlock for tool_use blocks
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# - Usage information
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# Returns MessageLike object compatible with agent.py
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```
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### 3. Backward Compatibility
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All existing environment variables work:
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- `ANTHROPIC_API_KEY` - Still used for Direct API mode
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- `USE_CLAUDE_CODE_SERVER` - Legacy mode still supported
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- `CLAUDE_CODE_SERVER_URL` - Legacy server URL
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New variables:
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- `USE_AGENT_SDK=true` - Enable Agent SDK (default)
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- `USE_DIRECT_API=true` - Force Direct API mode
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## Installation
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### Step 1: Install Dependencies
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```bash
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cd c:\Users\fam1n\projects\ajarbot
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pip install -r requirements.txt
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```
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This installs:
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- `claude-agent-sdk>=0.1.0` - Agent SDK
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- `anyio>=4.0.0` - Async/sync bridging
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### Step 2: Configure Mode (Optional)
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Agent SDK is the default. To use a different mode:
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**For Direct API (pay-per-token):**
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```bash
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# Add to .env
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USE_DIRECT_API=true
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ANTHROPIC_API_KEY=sk-ant-...
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```
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**For Legacy Server:**
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```bash
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# Add to .env
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USE_CLAUDE_CODE_SERVER=true
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CLAUDE_CODE_SERVER_URL=http://localhost:8000
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```
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### Step 3: Run the Bot
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```bash
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python bot_runner.py
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```
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You should see:
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```
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[LLM] Using Claude Agent SDK (Pro subscription)
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```
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## Files Modified
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### 1. `requirements.txt`
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- Replaced `claude-code-sdk` with `claude-agent-sdk`
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- Added `anyio>=4.0.0` for async bridging
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- Removed FastAPI/Uvicorn (no longer needed for default mode)
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### 2. `llm_interface.py`
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Major refactoring:
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- Added Agent SDK import and availability check
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- New mode selection logic (agent_sdk > legacy_server > direct_api)
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- `_agent_sdk_chat()` - Async method for simple chat
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- `_agent_sdk_chat_with_tools()` - Async method for tool chat
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- `_convert_sdk_response_to_message()` - Response format converter
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- Updated `chat()` and `chat_with_tools()` with Agent SDK support
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**Lines of code:**
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- Before: ~250 lines
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- After: ~410 lines
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- Added: ~160 lines for Agent SDK support
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## Testing Checklist
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### Basic Functionality
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- [ ] Bot starts successfully with Agent SDK
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- [ ] Simple chat works (`agent.chat("Hello", "user")`)
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- [ ] Tool execution works (file operations, Gmail, Calendar)
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- [ ] Multiple tool calls in sequence work
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- [ ] Error handling works (invalid requests, SDK failures)
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### Mode Switching
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- [ ] Agent SDK mode works (default)
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- [ ] Direct API mode works (`USE_DIRECT_API=true`)
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- [ ] Legacy server mode works (`USE_CLAUDE_CODE_SERVER=true`)
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- [ ] Fallback to Direct API when SDK unavailable
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### Compatibility
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- [ ] All 17 tools work identically
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- [ ] Scheduled tasks work
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- [ ] Telegram adapter works
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- [ ] Slack adapter works
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- [ ] Memory system works
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- [ ] Self-healing system works
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### Response Format
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- [ ] `.content` attribute accessible
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- [ ] `.stop_reason` attribute correct
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- [ ] `.usage` attribute present
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- [ ] TextBlock extraction works
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- [ ] ToolUseBlock extraction works
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## Troubleshooting
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### Issue: "Agent SDK not available, falling back to Direct API"
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**Solution:** Install the SDK:
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```bash
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pip install claude-agent-sdk
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```
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### Issue: SDK import fails
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**Check:**
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1. Is `claude-agent-sdk` installed? (`pip list | grep claude-agent-sdk`)
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2. Is virtual environment activated?
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3. Are there any import errors in the SDK itself?
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### Issue: Response format incompatible with agent.py
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**Check:**
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- `MessageLike` class has all required attributes (`.content`, `.stop_reason`, `.usage`)
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- `TextBlock` and `ToolUseBlock` are properly constructed
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- `sdk_response` structure matches expected format
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### Issue: Async/sync bridge errors
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**Check:**
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- `anyio` is installed (`pip list | grep anyio`)
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- Thread context is available (not running in async context already)
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- No event loop conflicts
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## Performance Considerations
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### Token Costs
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- **Agent SDK**: $0 (uses Pro subscription)
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- **Direct API**: ~$0.25-$1.25 per 1M tokens (Haiku), ~$3-$15 per 1M tokens (Sonnet)
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### Speed
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- **Agent SDK**: Similar to Direct API
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- **Direct API**: Baseline
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- **Legacy Server**: Additional HTTP overhead
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### Memory
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- **Agent SDK**: ~50MB overhead for SDK client
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- **Direct API**: Minimal overhead
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- **Legacy Server**: Requires separate server process
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## Future Enhancements
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### Potential Improvements
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1. **Streaming Support**: Implement streaming responses via SDK
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2. **Better Error Messages**: More detailed SDK error propagation
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3. **Usage Tracking**: Track SDK usage separately (if SDK provides metrics)
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4. **Caching**: Implement prompt caching for Agent SDK (if supported)
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5. **Batch Requests**: Support batch processing via SDK
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### Migration Path
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1. Phase 1: Agent SDK as default (DONE)
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2. Phase 2: Remove legacy server code (after testing period)
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3. Phase 3: Deprecate Direct API mode (after SDK proven stable)
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4. Phase 4: SDK-only implementation
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## Version History
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### v1.0.0 (2026-02-15)
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- Initial Agent SDK implementation
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- Three-mode architecture (agent_sdk, direct_api, legacy_server)
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- Async/sync bridge using anyio
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- Response format converter
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- Backward compatibility with existing env vars
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- All 17 tools preserved
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- Zero changes to agent.py, tools.py, adapters
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## References
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- **Agent SDK Docs**: (TBD - add when available)
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- **Anthropic API Docs**: https://docs.anthropic.com/
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- **anyio Docs**: https://anyio.readthedocs.io/
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## Credits
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- **Implementation**: Strategy A (Thin Wrapper)
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- **Planning**: Based on planning agent recommendations
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- **Architecture**: Minimal disruption, maximum compatibility
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