docs: update for IF_TRADE and DeepSeek fixes

- Document model factory architecture
- Add troubleshooting for DeepSeek validation errors
- Update changelog with version 0.4.2 fixes

CHANGELOG.md

@@ -7,6 +7,21 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [0.4.2] - 2025-11-05
+
+### Fixed
+- Fixed "No trading" message always displaying despite trading activity by initializing `IF_TRADE` to `True` (trades expected by default)
+- Resolved sporadic Pydantic validation errors for DeepSeek tool_calls arguments by switching to native `ChatDeepSeek` integration
+
+### Added
+- Added `agent/model_factory.py` for provider-specific model creation
+- Added `langchain-deepseek` dependency for native DeepSeek support
+- Added integration tests for DeepSeek tool calls argument parsing
+
+### Changed
+- `BaseAgent` now uses model factory instead of direct `ChatOpenAI` instantiation
+- DeepSeek models (`deepseek/*`) now use `ChatDeepSeek` instead of OpenAI compatibility layer
+
 ## [0.4.1] - 2025-11-05
 
 ### Fixed

CLAUDE.md

@@ -167,12 +167,18 @@ bash main.sh
 ### Agent System
 
 **BaseAgent Key Methods:**
-- `initialize()`: Connect to MCP services, create AI model
+- `initialize()`: Connect to MCP services, create AI model via model factory
 - `run_trading_session(date)`: Execute single day's trading with retry logic
 - `run_date_range(init_date, end_date)`: Process all weekdays in range
 - `get_trading_dates()`: Resume from last date in position.jsonl
 - `register_agent()`: Create initial position file with $10,000 cash
 
+**Model Factory:**
+The `create_model()` factory automatically selects the appropriate chat model:
+- `deepseek/*` models → `ChatDeepSeek` (native tool calling support)
+- `openai/*` models → `ChatOpenAI`
+- Other providers → `ChatOpenAI` (OpenAI-compatible endpoint)
+
 **Adding Custom Agents:**
 1. Create new class inheriting from `BaseAgent`
 2. Add to `AGENT_REGISTRY` in `main.py`:
@@ -452,4 +458,10 @@ The project uses a well-organized documentation structure:
 **Agent Doesn't Stop Trading:**
 - Agent must output `<FINISH_SIGNAL>` within `max_steps`
 - Increase `max_steps` if agent needs more reasoning time
-- Check `log.jsonl` for errors preventing completion
+- Check `log.jsonl` for errors preventing completion
+
+**DeepSeek Pydantic Validation Errors:**
+- Error: "Input should be a valid dictionary [type=dict_type, input_value='...', input_type=str]"
+- Cause: Using `ChatOpenAI` for DeepSeek models (OpenAI compatibility layer issue)
+- Fix: Ensure `langchain-deepseek` is installed and basemodel uses `deepseek/` prefix
+- The model factory automatically uses `ChatDeepSeek` for native support