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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/ai_proactive/schemas.py
+1 -1
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@@ -74,7 +74,7 @@ class SettingsResponse(BaseModel):
rate_limit_seconds: int
model: str
available_models: list[str] = Field(default_factory=lambda: [
'ollama/deepseek-v4',
'ollama/deepseek-v4-flash',
'ollama/deepseek-v4-pro',
'ollama/llama3.2',
'ollama/gpt-4o-mini',