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docs: Update PRD and progress for US-004 completion

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Alexander Myasoedov
2026-01-28 18:35:07 +02:00
parent 41567925aa
commit d5e2746567
2 changed files with 23 additions and 1 deletions
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prd.json
+1 -1
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@@ -53,7 +53,7 @@
"Add unit tests for provider implementations"
],
"priority": 4,
"passes": false
"passes": true
},
{
"id": "US-005",
progress.txt
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@@ -68,3 +68,25 @@
- Use Any type for LLM provider param to avoid complex Protocol type issues
- Chain passes output to next node via {"input": result} convention
---
## 2026-01-28 - US-004
- Implemented Unified LLM Provider Abstraction
- Files created:
- agentic_security/llm_providers/__init__.py
- agentic_security/llm_providers/base.py (BaseLLMProvider, LLMMessage, LLMResponse)
- agentic_security/llm_providers/openai_provider.py (OpenAIProvider)
- agentic_security/llm_providers/anthropic_provider.py (AnthropicProvider)
- agentic_security/llm_providers/factory.py (create_provider, get_provider_class)
- tests/unit/llm_providers/__init__.py
- tests/unit/llm_providers/test_base.py
- tests/unit/llm_providers/test_openai_provider.py
- tests/unit/llm_providers/test_anthropic_provider.py
- tests/unit/llm_providers/test_factory.py (60 tests total)
- **Learnings for future iterations:**
- FuzzyAI provider pattern: ABC base class with generate/chat + sync variants
- Lazy client initialization (_get_client, _get_async_client) for deferred API key validation
- Anthropic requires max_tokens in all requests (default 1024)
- OpenAI and Anthropic have different message formats (system in messages vs separate param)
- Use factory pattern with lazy registration to avoid circular imports
- Provider interface should support both sync and async for flexibility
---