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Documentation Update Summary - Issue #41: DeepSeek API Support

Files Updated

1. CHANGELOG.md

Location: /Users/andrewkaszubski/Dev/Spektiv/CHANGELOG.md

Changes:

Added comprehensive entry under ## [Unreleased] ### Added section
Entry covers:
- DeepSeek provider integration using ChatOpenAI with base_url
- DEEPSEEK_API_KEY environment variable handling with validation
- Supported models: deepseek-chat and deepseek-reasoner
- Embedding fallback chain (OpenAI -> HuggingFace -> disable)
- Optional HuggingFace sentence-transformers integration
- Graceful degradation with informative warnings
- Links to implementation files with line numbers

Cross-references included:

spektiv/graph/trading_graph.py (lines 105-145)
spektiv/agents/utils/memory.py (lines 16-57)
tests/integration/test_deepseek.py

2. PROJECT.md

Location: /Users/andrewkaszubski/Dev/Spektiv/PROJECT.md

Changes:

Added new ### DeepSeek Configuration Example section (lines 446-468)
Positioned after OpenRouter configuration for consistency
Content includes:

Description:

Describes DeepSeek's cost-effectiveness and quantitative analysis strengths

Configuration Example:

config = {
    "llm_provider": "deepseek",
    "deep_think_llm": "deepseek-reasoner",
    "quick_think_llm": "deepseek-chat",
    "backend_url": "https://api.deepseek.com/v1",
}

Requirements Section:

DEEPSEEK_API_KEY environment variable requirement
Link to DeepSeek Platform for API key generation
Embedding backend options (OpenAI preferred or sentence-transformers)
Supported model options: deepseek-chat and deepseek-reasoner
OpenAI API format compatibility note

Embedding Fallback Chain Documentation:

Primary: OPENAI_API_KEY for OpenAI embeddings (recommended)
Secondary: HuggingFace sentence-transformers (all-MiniLM-L6-v2)
Fallback: Disable memory features with warnings

Documentation Quality Validation

✓ CHANGELOG.md markdown structure valid
✓ PROJECT.md DeepSeek section properly added
✓ DEEPSEEK_API_KEY documented in requirements
✓ All file references include proper paths
✓ Configuration examples complete and accurate
✓ Fallback chain behavior fully documented
✓ Links to source code with line numbers included
✓ Consistency with OpenRouter configuration format

✓ DeepSeek provider integration in trading_graph.py (ChatOpenAI setup)
✓ Embedding backend abstraction in memory.py (fallback chain)
✓ API key handling and validation
✓ HuggingFace optional dependency support
✓ Test suite for DeepSeek integration

Summary

Documentation successfully updated for Issue #41 - DeepSeek API Support.

All configuration options, API key requirements, and embedding fallback behavior are now documented:

CHANGELOG.md has a detailed feature entry under the Unreleased section
PROJECT.md has a complete configuration guide with requirements and examples
Both files follow established documentation patterns and include cross-references to implementation code

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