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fix: unified_search + ai_proactive get API key from DB, fix model names for Ollama Cloud

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- query_understanding.py: get API key/base_url/provider_type from ai_providers DB
- embedding.py: get API key from DB, pass db+tenant_id through call chain
- routes.py: pass db+tenant_id to llm_analyze_query and llm_aggregate_results
- search_engine.py: pass db+tenant_id to generate_embedding
- unified_search/jobs.py: pass db+tenant_id to generate_embedding
- Fix all default model names: ollama/deepseek-v4 -> ollama/deepseek-v4-flash
- Ollama Cloud has no embedding endpoint; embedding calls fail gracefully
This commit is contained in:
Agent Zero
2026-07-19 02:22:25 +02:00
parent ef4f0cc494
commit 4a43745b50
9 changed files with 147 additions and 37 deletions
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app/plugins/builtins/unified_search/search_engine.py
+1 -1
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@@ -95,7 +95,7 @@ async def hybrid_search(
query_text = normalized_query
if semantic_terms:
query_text = f"{normalized_query} {' '.join(semantic_terms)}"
query_embedding = await generate_embedding(query_text)
query_embedding = await generate_embedding(query_text, db=db, tenant_id=tenant_id)
all_results: list[dict[str, Any]] = []
fetch_limit = limit * 2