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Author SHA1 Message Date
elpresidank
b854b56558 feat: MCP tool client infrastructure for agent extensibility 
Add the full MCP tool pipeline enabling agents to invoke external tools
(like Brave Search) via MCP servers:

- Add ToolRequest/ToolResponse types and mcp-tool topics to @trustgraph/base
- Create McpToolService (FlowProcessor) that connects to external MCP servers
  via @modelcontextprotocol/sdk StreamableHTTP transport
- Add createMcpTool() to wire MCP tools into the agent's ReAct loop
- Implement config-driven tool registration in AgentService with backward-
  compatible fallback to hardcoded tools
- Add tool filtering by group and state (port of Python tool_filter.py)
- Register mcp-tool in gateway dispatcher and export from @trustgraph/flow
- Fix flow restart race condition: skip restart when flow definitions unchanged
- Update seed config with MCP server config and tool definitions
- Add run scripts for MCP tool service and Brave Search MCP server

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-10 05:45:46 -05:00
elpresidank
25d4227cb5 fix: resolve FlowProcessor topic collisions, librarian timeout, tests 
Fix critical bug where all FlowProcessor services shared the same spec
names ("request"/"response"), causing them to steal each other's NATS
topics. Now each service uses unique spec names matching the flow config
topic keys (e.g., "text-completion-request", "prompt-request",
"agent-request").

Fix librarian NATS consumer timeout (500ms → 2000ms, below NATS minimum).

Update seed-config and test-pipeline with correct flow topic mappings.
Add prompt template runner script.

Smoke test results: 11/11 passing (config CRUD, WebSocket, LLM,
librarian CRUD). Agent routing verified via manual curl test.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-06 01:02:10 -05:00
elpresidank
f09ef4de45 feat: add document pipeline, ReAct agent, and knowledge core services 
Document Pipeline (Team A):
- LibrarianService: document storage with filesystem backend, metadata
  persistence, child document hierarchy, collection management
- ChunkingService: recursive character text splitter with configurable
  chunk size/overlap, FlowProcessor pattern
- KnowledgeExtractService: combined relationship + definition extraction
  using prompt service and LLM, emits RDF triples and entity contexts
- KnowledgeCoreService: knowledge core CRUD with streaming export and
  flow-based loading

ReAct Agent (Team B):
- StreamingReActParser: state machine for parsing LLM output into
  Thought/Action/ActionInput/FinalAnswer sections
- Three MVP tools: KnowledgeQuery (GraphRAG), DocumentQuery (DocRAG),
  TriplesQuery with RequestResponse clients
- AgentService FlowProcessor with ReAct loop, tool execution, and
  streaming chunk responses (thought/observation/answer)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-06 00:19:37 -05:00