Commit graph

8 commits

Author SHA1 Message Date
f19f896300 feat: inject environment context into diagnose pipeline and LLM prompt
- Add context_block param to summarize() and thread it into _PROMPT_TEMPLATE
- Wire retrieve_context/format_context_block into diagnose_stream() before
  log search; emit context SSE event (facts + chunks) to the client
- 3 new tests covering prompt injection and SSE event emission (155 total, all pass)
2026-05-13 16:29:26 -07:00
734e81c8ca feat: SSE streaming diagnose, severity filter pills, per-source-cap search
- diagnose_stream() async generator: status/summary/entries/reasoning/done events
- POST /api/diagnose/stream SSE endpoint wired in rest.py
- entries_in_window() gains per_source_cap to prevent high-volume sources crowding results
- QuickCapture: severity filter pills, filtered entries view, pipeline status spinner
- llm.py: remove overly broad HTTPStatusError re-raise
2026-05-13 15:45:35 -07:00
b88c6d7ebf feat: source-scoped diagnose; multi-node Docker log collection
- Diagnose: add source_filter param threaded through entries_in_window,
  search, _diagnose, and DiagnoseRequest — clicking diagnose on a
  dashboard source now scopes both keyword and window hits to that source
- QuickCapture: read route.query.source; show scope badge with clear ✕;
  auto-run when source param is present without a query
- DashboardView: pass source= (not q=) when navigating to diagnose
- collect_cluster_logs.sh: auto-discover Docker containers on all nodes
  (Heimdall non-watched, Navi, Strahl via SSH); collect Cass Plex logs
  via SSH; write to per-node dirs for directory-mode ingest
- turnstone-cluster.service: add --reload for hot-reload during dev
2026-05-13 08:10:42 -07:00
03b796eb6e fix: correct cf-orch port to 7700; fix relative time parsing in diagnose; fix syslog PRI prefix 2026-05-13 05:33:41 -07:00
765d2cb2df feat: switch LLM backend to OpenAI-compat; add cf-orch remote inference support
Turnstone now calls /v1/chat/completions instead of Ollama's /api/generate.
This format works with both local Ollama (>=0.1.24) and a remote cf-orch
coordinator, enabling GPU-less nodes like Xander's to route diagnoses through
the cluster without any local model.

- llm.py: OpenAI-compat messages format, optional Bearer auth header
- diagnose.py: thread llm_api_key through the call chain
- rest.py: llm_api_key pref (default empty), SettingsBody field, passed to diagnose
- SettingsView.vue: API Key field, label updated from "Ollama URL" to "LLM Endpoint URL"
- tests: updated mocks for new response shape; added bearer token assertion test
2026-05-12 12:58:38 -07:00
b540060639 feat: LLM reasoning layer — Ollama summarization on diagnose results 2026-05-11 11:35:07 -07:00
b786eee49c fix: correct time_detected logic, immutable sort pattern, add diagnose() test 2026-05-11 09:08:24 -07:00
21b988fd66 feat: add diagnose service with NL time extraction via dateparser
Adds app/services/diagnose.py with parse_time_window() (dateparser-backed
NL time phrase extraction with 60-min fallback) and diagnose() (layered
FTS + window search returning severity/source summary). Includes 5 TDD tests.
2026-05-11 09:04:50 -07:00