added config.py

feat(agent): rag_search returns structured JSON, agent synthesizes cited report

Revert "fix(agent): pass topic keyword not meta-request to rag_search"

fix(agent): pass topic keyword not meta-request to rag_search

fix(agent): forbid multi-call rag_search loop per article

fix(agent,web): fix citation routing and sources rendering

fix: replace BM25 coverage counting with reranker-based pipeline

refactor(coverage): replace hybrid+rerank count with BM25-only keyword search

feat(agent): surface momentum_percentile, label, coverage in trending_topics

chore: stop tracking .devin agent config

docs(readme): richer architecture diagrams + Windows disclaimer

feat(agent): remove scope guardrail from system prompt

feat: update API routers, dashboard, graph panel, and gap table UI

feat(agent): generic system prompt, 10s estimate_gap cap, scope guardrail

docs: comprehensive README with run order; mine_gdelt_topics required

add: Docker deployment for HF Spaces demo

fix(signals): guard zero baseline only on denominator

refactor(web): simplify footer and typing indicator UI

fix(topic_index): use query_points not search (client API)

refactor(agent): semantic topic index, label-free gaps, decluttered prompt

Add Langfuse observability via LangChain CallbackHandler

feat(pipeline): RAG quality gate, live coverage, streaming API, recursion limit

fix(agent): prompt routing + determinism guard + gap table

fix(agent): rank gaps by score, fuzzy topic filter, stream in web API

feat(observability): INFO-level logging across all agent components

feat(agent): fix broken tools, add coverage_lookup, rewrite system prompt

refactor(pipeline): metadata-driven coverage, per-topic scroll, pure gap fn

feat(kg): COVERED_BY edges, wipe script, scroll_all, docs_for_topic

feat(topics): mine 667 GDELT WB-taxonomy topics + orgs for 2026-06-14

refactor(signals): 180-day weekly horizon, negative velocity, no cache

feat(gap): Phase 1 — Gap v2 (Demand×(1−Coverage)) + anchor-normalized signals

perf: block huggingface network checks on startup

feat(kb): Solid Gartner KB — cross-industry Wikidata seed, Wikidata-native relationships, 7-day signal cache

feat(web): Render agent markdown responses with customized tailwind classes

feat(agent): implement comprehensive logging and fix recursion loop

docs(web): Trim welcome message and update illustrative examples

feat(web): implement live interactive knowledge graph using react-force-graph

feat(ops): add all-in-one start and stop orchestrator scripts for local development

feat(web): implement live multi-turn chat assistant with real-time tool badges

feat(web): wire live opportunity score dashboard using recharts and api facade

style(web): sanitize codebase comments and labels to use clean and generic terms

feat(web): scaffold Phase 10.0 React client application with Gartner brand design

feat(api): implement FastAPI read-side layer with 4 endpoints and OpenAPI contract

feat(agent): revert weight bar overrides, restore original illustrative queries, and print responses first

feat(agent): implement end-to-end client demand sensing demo script

feat(agent): implement production-ready LangGraph ReAct agent

feat(graph): implement lean Neo4j Knowledge Graph build with spaCy NER

feat(gap): implement ultra-lean GapScore engine and reporting

feat(signals): implement csv-driven topic seeding and cache relocation

feat(signals): implement external trends signals with cache-aside TTL