- Add AGENT-ONBOARDING.md for AI agents - Add ARCHITECTURE.md with full system overview - Add TECH-STACK.md with complete technology inventory - Add DOMAIN-MODEL.md with entities and bounded contexts - Add CODING-CONVENTIONS.md with patterns and practices - Add GLOSSARY.md with terminology reference - Add C4 diagrams (Context and Container levels) - Add 10 ADRs documenting key decisions: - Talos Linux, NATS, MessagePack, Multi-GPU strategy - GitOps with Flux, KServe, Milvus, Dual workflow engines - Envoy Gateway - Add specs directory with JetStream configuration - Add diagrams for GPU allocation and data flows Based on analysis of homelab-k8s2 and llm-workflows repositories and kubectl cluster-info dump data.
52 lines
1.3 KiB
Plaintext
52 lines
1.3 KiB
Plaintext
%% Chat Request Data Flow
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%% Sequence diagram showing chat message processing
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sequenceDiagram
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autonumber
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participant U as User
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participant W as WebApp<br/>(companions)
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participant N as NATS
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participant C as Chat Handler
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participant V as Valkey<br/>(Cache)
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participant E as BGE Embeddings
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participant M as Milvus
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participant R as Reranker
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participant L as vLLM
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U->>W: Send message
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W->>N: Publish ai.chat.user.{id}.message
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N->>C: Deliver message
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C->>V: Get session history
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V-->>C: Previous messages
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alt RAG Enabled
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C->>E: Generate query embedding
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E-->>C: Query vector
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C->>M: Search similar chunks
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M-->>C: Top-K chunks
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opt Reranker Enabled
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C->>R: Rerank chunks
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R-->>C: Reordered chunks
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end
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end
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C->>L: LLM inference (context + query)
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alt Streaming Enabled
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loop For each token
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L-->>C: Token
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C->>N: Publish ai.chat.response.stream.{id}
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N-->>W: Deliver chunk
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W-->>U: Display token
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end
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else Non-streaming
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L-->>C: Full response
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C->>N: Publish ai.chat.response.{id}
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N-->>W: Deliver response
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W-->>U: Display response
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end
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C->>V: Save to session history
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