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Add comprehensive code review specifications and templates
- Introduced best practices requirements specification covering code quality, performance, maintainability, error handling, and documentation standards. - Established quality standards with overall quality metrics and mandatory checks for security, code quality, performance, and maintainability. - Created security requirements specification aligned with OWASP Top 10 and CWE Top 25, detailing checks and patterns for common vulnerabilities. - Developed templates for documenting best practice findings, security findings, and generating reports, including structured markdown and JSON formats. - Updated dependencies in the project, ensuring compatibility and stability. - Added test files and README documentation for vector indexing tests.
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@@ -27,11 +27,17 @@ ENV_VARS = {
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"RERANKER_API_KEY": "API key for reranker service (SiliconFlow/Cohere/Jina)",
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"RERANKER_API_BASE": "Base URL for reranker API (overrides provider default)",
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"RERANKER_PROVIDER": "Reranker provider: siliconflow, cohere, jina",
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"RERANKER_POOL_ENABLED": "Enable reranker high availability pool: true/false",
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"RERANKER_STRATEGY": "Reranker load balance strategy: round_robin, latency_aware, weighted_random",
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"RERANKER_COOLDOWN": "Reranker rate limit cooldown in seconds",
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# Embedding configuration (overrides settings.json)
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"EMBEDDING_MODEL": "Embedding model/profile name (overrides settings.json)",
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"EMBEDDING_BACKEND": "Embedding backend: fastembed, litellm",
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"EMBEDDING_API_KEY": "API key for embedding service",
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"EMBEDDING_API_BASE": "Base URL for embedding API",
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"EMBEDDING_POOL_ENABLED": "Enable embedding high availability pool: true/false",
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"EMBEDDING_STRATEGY": "Embedding load balance strategy: round_robin, latency_aware, weighted_random",
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"EMBEDDING_COOLDOWN": "Embedding rate limit cooldown in seconds",
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# LiteLLM configuration
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"LITELLM_API_KEY": "API key for LiteLLM",
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"LITELLM_API_BASE": "Base URL for LiteLLM",
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