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v0.17.2: auto-fact detection with conflict-alert flow

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- auto_detect_facts() scans chat turns for factual content (IPs, paths,
  services, config changes, hardware refs) using pattern matching
- check_fact_conflicts() cross-references detected facts against stored
  FTS5 memories — when a contradiction exists (same topic, diff value)
  the system surfaces a rag_update_suggestion in the done SSE payload
- Frontend shows a floating notification banner comparing old vs new
  fact with Update/Dismiss buttons
- confirm_fact_update() replaces the memory + re-embeds/re-indexes
  the Qdraft entry on user confirmation
- Silent auto-ingest (memories + Qdrant) when no conflict exists
- Frontend: msg-toolbar opacity 0→0.35 for visibility
This commit is contained in:
gramps
2026-07-13 08:25:08 -07:00
parent dcb73945e0
commit cbe4a361bb
6 changed files with 268 additions and 6 deletions
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routers/chat.py
+22 -4
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@@ -1,4 +1,5 @@
"""JarvisChat routers - /api/chat streaming endpoint."""
import asyncio
import json
import logging
import uuid
@@ -10,8 +11,8 @@ from fastapi.responses import StreamingResponse
from config import DEFAULT_MODEL, LLAMA_SERVER_BASE
from db import get_db, get_upload_context
from memory import process_remember_command
from rag import build_system_prompt
from memory import process_remember_command, auto_detect_facts, check_fact_conflicts
from rag import build_system_prompt, ingest_auto_fact
from search import (calculate_perplexity, is_uncertain, is_refusal,
clean_hedging, format_search_results, format_direct_answer,
extract_search_query, query_searxng)
@@ -127,6 +128,7 @@ async def chat(request: Request):
tokens_per_sec = 0.0
completion_tokens = 0
prompt_tokens = 0
rag_update = None
if remember_response:
yield f"data: {json.dumps({'token': remember_response + chr(10) + chr(10), 'conversation_id': conv_id})}\n\n"
@@ -204,7 +206,15 @@ async def chat(request: Request):
db2.commit()
db2.close()
yield f"data: {json.dumps({'done': True, 'conversation_id': conv_id, 'searched': True, 'perplexity': round(perplexity, 2), 'tokens_per_sec': round(tokens_per_sec, 1), 'prompt_tokens': prompt_tokens, 'completion_tokens': completion_tokens, 'context_length': MODEL_CONTEXT_LENGTH})}\n\n"
facts = auto_detect_facts(user_message, cleaned_response)
if facts:
conflicts = check_fact_conflicts(facts)
if conflicts:
rag_update = {"conflicts": conflicts}
else:
asyncio.ensure_future(ingest_auto_fact(facts, user_message, cleaned_response))
yield f"data: {json.dumps({'done': True, 'conversation_id': conv_id, 'searched': True, 'perplexity': round(perplexity, 2), 'tokens_per_sec': round(tokens_per_sec, 1), 'prompt_tokens': prompt_tokens, 'completion_tokens': completion_tokens, 'context_length': MODEL_CONTEXT_LENGTH, **(rag_update and {'rag_update_suggestion': rag_update} or {})})}\n\n"
return
saved_msg = assistant_msg
@@ -217,7 +227,15 @@ async def chat(request: Request):
db2.commit()
db2.close()
yield f"data: {json.dumps({'done': True, 'conversation_id': conv_id, 'perplexity': round(perplexity, 2), 'tokens_per_sec': round(tokens_per_sec, 1), 'prompt_tokens': prompt_tokens, 'completion_tokens': completion_tokens, 'context_length': MODEL_CONTEXT_LENGTH})}\n\n"
facts = auto_detect_facts(user_message, assistant_msg)
if facts:
conflicts = check_fact_conflicts(facts)
if conflicts:
rag_update = {"conflicts": conflicts}
else:
asyncio.ensure_future(ingest_auto_fact(facts, user_message, assistant_msg))
yield f"data: {json.dumps({'done': True, 'conversation_id': conv_id, 'perplexity': round(perplexity, 2), 'tokens_per_sec': round(tokens_per_sec, 1), 'prompt_tokens': prompt_tokens, 'completion_tokens': completion_tokens, 'context_length': MODEL_CONTEXT_LENGTH, **(rag_update and {'rag_update_suggestion': rag_update} or {})})}\n\n"
except httpx.RemoteProtocolError:
pass