mirror of
https://github.com/MODSetter/SurfSense.git
synced 2026-05-27 19:25:15 +02:00
feat: added improved llm model selector
This commit is contained in:
parent
dc19b43967
commit
a3cd598e01
23 changed files with 14733 additions and 126 deletions
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@ -230,10 +230,12 @@ def create_create_linear_issue_tool(
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raise
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logger.error(f"Error creating Linear issue: {e}", exc_info=True)
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if isinstance(e, (ValueError, LinearAPIError)):
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if isinstance(e, ValueError | LinearAPIError):
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message = str(e)
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else:
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message = "Something went wrong while creating the issue. Please try again."
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message = (
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"Something went wrong while creating the issue. Please try again."
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)
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return {"status": "error", "message": message}
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return create_linear_issue
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@ -238,7 +238,9 @@ def create_delete_linear_issue_tool(
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if result.get("status") == "success":
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result["deleted_from_kb"] = deleted_from_kb
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if issue_identifier:
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result["message"] = f"Issue {issue_identifier} archived successfully."
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result["message"] = (
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f"Issue {issue_identifier} archived successfully."
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)
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if deleted_from_kb:
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result["message"] = (
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f"{result.get('message', '')} Also removed from the knowledge base."
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@ -253,10 +255,12 @@ def create_delete_linear_issue_tool(
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raise
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logger.error(f"Error deleting Linear issue: {e}", exc_info=True)
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if isinstance(e, (ValueError, LinearAPIError)):
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if isinstance(e, ValueError | LinearAPIError):
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message = str(e)
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else:
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message = "Something went wrong while deleting the issue. Please try again."
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message = (
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"Something went wrong while deleting the issue. Please try again."
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)
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return {"status": "error", "message": message}
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return delete_linear_issue
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@ -290,10 +290,12 @@ def create_update_linear_issue_tool(
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raise
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logger.error(f"Error updating Linear issue: {e}", exc_info=True)
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if isinstance(e, (ValueError, LinearAPIError)):
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if isinstance(e, ValueError | LinearAPIError):
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message = str(e)
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else:
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message = "Something went wrong while updating the issue. Please try again."
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message = (
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"Something went wrong while updating the issue. Please try again."
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)
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return {"status": "error", "message": message}
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return update_linear_issue
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@ -224,10 +224,12 @@ def create_create_notion_page_tool(
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raise
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logger.error(f"Error creating Notion page: {e}", exc_info=True)
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if isinstance(e, (ValueError, NotionAPIError)):
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if isinstance(e, ValueError | NotionAPIError):
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message = str(e)
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else:
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message = "Something went wrong while creating the page. Please try again."
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message = (
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"Something went wrong while creating the page. Please try again."
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)
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return {"status": "error", "message": message}
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return create_notion_page
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@ -262,10 +262,12 @@ def create_delete_notion_page_tool(
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raise
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logger.error(f"Error deleting Notion page: {e}", exc_info=True)
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if isinstance(e, (ValueError, NotionAPIError)):
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if isinstance(e, ValueError | NotionAPIError):
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message = str(e)
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else:
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message = "Something went wrong while deleting the page. Please try again."
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message = (
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"Something went wrong while deleting the page. Please try again."
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)
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return {"status": "error", "message": message}
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return delete_notion_page
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@ -261,10 +261,12 @@ def create_update_notion_page_tool(
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raise
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logger.error(f"Error updating Notion page: {e}", exc_info=True)
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if isinstance(e, (ValueError, NotionAPIError)):
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if isinstance(e, ValueError | NotionAPIError):
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message = str(e)
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else:
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message = "Something went wrong while updating the page. Please try again."
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message = (
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"Something went wrong while updating the page. Please try again."
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)
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return {"status": "error", "message": message}
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return update_notion_page
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14059
surfsense_backend/app/config/model_list_fallback.json
Normal file
14059
surfsense_backend/app/config/model_list_fallback.json
Normal file
File diff suppressed because it is too large
Load diff
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@ -30,6 +30,7 @@ class LinearAPIError(Exception):
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without any additional prefix or wrapping.
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"""
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ORGANIZATION_QUERY = """
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query {
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organization {
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@ -267,7 +268,10 @@ class LinearConnector:
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if errors:
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ext = errors[0].get("extensions", {})
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code = ext.get("code", "")
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if code == "INPUT_ERROR" and "too complex" in errors[0].get("message", "").lower():
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if (
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code == "INPUT_ERROR"
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and "too complex" in errors[0].get("message", "").lower()
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):
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friendly = (
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"Linear rejected the request because the workspace is too large "
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"to fetch in one query. Please try again — if the problem persists, "
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@ -26,6 +26,7 @@ from .jira_add_connector_route import router as jira_add_connector_router
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from .linear_add_connector_route import router as linear_add_connector_router
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from .logs_routes import router as logs_router
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from .luma_add_connector_route import router as luma_add_connector_router
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from .model_list_routes import router as model_list_router
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from .new_chat_routes import router as new_chat_router
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from .new_llm_config_routes import router as new_llm_config_router
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from .notes_routes import router as notes_router
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@ -68,6 +69,7 @@ router.include_router(jira_add_connector_router)
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router.include_router(confluence_add_connector_router)
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router.include_router(clickup_add_connector_router)
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router.include_router(new_llm_config_router) # LLM configs with prompt configuration
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router.include_router(model_list_router) # Dynamic LLM model catalogue from OpenRouter
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router.include_router(logs_router)
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router.include_router(circleback_webhook_router) # Circleback meeting webhooks
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router.include_router(surfsense_docs_router) # Surfsense documentation for citations
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44
surfsense_backend/app/routes/model_list_routes.py
Normal file
44
surfsense_backend/app/routes/model_list_routes.py
Normal file
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@ -0,0 +1,44 @@
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"""
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API route for fetching the available LLM models catalogue.
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Serves a dynamically-updated list sourced from the OpenRouter public API,
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with a local JSON fallback when the API is unreachable.
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"""
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import logging
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from fastapi import APIRouter, Depends, HTTPException
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from pydantic import BaseModel
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from app.db import User
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from app.services.model_list_service import get_model_list
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from app.users import current_active_user
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router = APIRouter()
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logger = logging.getLogger(__name__)
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class ModelListItem(BaseModel):
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value: str
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label: str
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provider: str
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context_window: str | None = None
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@router.get("/models", response_model=list[ModelListItem])
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async def list_available_models(
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user: User = Depends(current_active_user),
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):
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"""
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Return all available LLM models grouped by provider.
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The list is sourced from the OpenRouter public API and cached for 1 hour.
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If the API is unreachable, a local fallback file is used instead.
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"""
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try:
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return await get_model_list()
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except Exception as e:
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logger.exception("Failed to fetch model list")
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raise HTTPException(
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status_code=500, detail=f"Failed to fetch model list: {e!s}"
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) from e
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@ -110,13 +110,15 @@ class LinearToolMetadataService:
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teams = await self._fetch_teams_context(linear_client)
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except Exception as e:
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return {"error": f"Failed to fetch Linear context: {e!s}"}
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workspaces.append({
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"id": workspace.id,
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"name": workspace.name,
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"organization_name": workspace.organization_name,
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"teams": teams,
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"priorities": priorities,
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})
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workspaces.append(
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{
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"id": workspace.id,
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"name": workspace.name,
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"organization_name": workspace.organization_name,
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"teams": teams,
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"priorities": priorities,
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}
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)
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return {"workspaces": workspaces}
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@ -307,16 +309,10 @@ class LinearToolMetadataService:
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Document.document_type == DocumentType.LINEAR_CONNECTOR,
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SearchSourceConnector.user_id == user_id,
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or_(
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func.lower(
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Document.document_metadata.op("->>")(
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"issue_title"
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)
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)
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func.lower(Document.document_metadata.op("->>")("issue_title"))
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== ref_lower,
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func.lower(
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Document.document_metadata.op("->>")(
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"issue_identifier"
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)
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Document.document_metadata.op("->>")("issue_identifier")
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)
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== ref_lower,
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func.lower(Document.title) == ref_lower,
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@ -162,7 +162,10 @@ async def validate_llm_config(
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async def get_search_space_llm_instance(
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session: AsyncSession, search_space_id: int, role: str, disable_streaming: bool = False
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session: AsyncSession,
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search_space_id: int,
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role: str,
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disable_streaming: bool = False,
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) -> ChatLiteLLM | ChatLiteLLMRouter | None:
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"""
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Get a ChatLiteLLM instance for a specific search space and role.
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@ -384,16 +387,24 @@ async def get_document_summary_llm(
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) -> ChatLiteLLM | ChatLiteLLMRouter | None:
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"""Get the search space's document summary LLM instance."""
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return await get_search_space_llm_instance(
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session, search_space_id, LLMRole.DOCUMENT_SUMMARY, disable_streaming=disable_streaming
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session,
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search_space_id,
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LLMRole.DOCUMENT_SUMMARY,
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disable_streaming=disable_streaming,
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)
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# Backward-compatible alias (LLM preferences are now per-search-space, not per-user)
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async def get_user_long_context_llm(
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session: AsyncSession, user_id: str, search_space_id: int, disable_streaming: bool = False
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session: AsyncSession,
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user_id: str,
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search_space_id: int,
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disable_streaming: bool = False,
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) -> ChatLiteLLM | ChatLiteLLMRouter | None:
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"""
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Deprecated: Use get_document_summary_llm instead.
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The user_id parameter is ignored as LLM preferences are now per-search-space.
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"""
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return await get_document_summary_llm(session, search_space_id, disable_streaming=disable_streaming)
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return await get_document_summary_llm(
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session, search_space_id, disable_streaming=disable_streaming
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)
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167
surfsense_backend/app/services/model_list_service.py
Normal file
167
surfsense_backend/app/services/model_list_service.py
Normal file
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@ -0,0 +1,167 @@
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"""
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Service for fetching and caching the available LLM model list.
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Uses the OpenRouter public API as the primary source, with a local
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fallback JSON file when the API is unreachable.
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"""
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import json
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import logging
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import time
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from pathlib import Path
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import httpx
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logger = logging.getLogger(__name__)
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OPENROUTER_API_URL = "https://openrouter.ai/api/v1/models"
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FALLBACK_FILE = Path(__file__).parent.parent / "config" / "model_list_fallback.json"
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CACHE_TTL_SECONDS = 86400 # 24 hours
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# In-memory cache
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_cache: list[dict] | None = None
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_cache_timestamp: float = 0
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# Maps OpenRouter provider slug → our LiteLLMProvider enum value.
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# Only providers where the model-name part (after the slash) can be
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# used directly with the native provider's litellm prefix are listed.
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#
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# Excluded slugs and why:
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# "deepseek" - Native API only accepts "deepseek-chat" / "deepseek-reasoner";
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# OpenRouter uses different names (deepseek-v3.2, deepseek-r1, ...).
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# "qwen" - Most OpenRouter Qwen entries are open-source models (qwen3-32b, ...)
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# that are NOT available on the Dashscope API.
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# "ai21" - OpenRouter name "jamba-large-1.7" != AI21 API name "jamba-1.5-large".
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# "microsoft" - OpenRouter "microsoft/" = open-source Phi/WizardLM, NOT Azure
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# OpenAI deployments (which require deployment names, not model ids).
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OPENROUTER_SLUG_TO_PROVIDER: dict[str, str] = {
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"openai": "OPENAI",
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"anthropic": "ANTHROPIC",
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"google": "GOOGLE",
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"mistralai": "MISTRAL",
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"cohere": "COHERE",
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"x-ai": "XAI",
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"perplexity": "PERPLEXITY",
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}
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def _format_context_length(length: int | None) -> str | None:
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"""Convert a raw token count to a human-readable string (e.g. 128K, 1M)."""
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if not length:
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return None
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if length >= 1_000_000:
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return f"{length / 1_000_000:g}M"
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if length >= 1_000:
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return f"{length / 1_000:g}K"
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return str(length)
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async def _fetch_from_openrouter() -> list[dict] | None:
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"""Try fetching the model catalogue from the OpenRouter public API."""
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try:
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async with httpx.AsyncClient(timeout=15) as client:
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response = await client.get(OPENROUTER_API_URL)
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response.raise_for_status()
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data = response.json()
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return data.get("data", [])
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except Exception as e:
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logger.warning("Failed to fetch from OpenRouter API: %s", e)
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return None
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def _load_fallback() -> list[dict]:
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"""Load the local fallback model list."""
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try:
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with open(FALLBACK_FILE, encoding="utf-8") as f:
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data = json.load(f)
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return data.get("data", [])
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except Exception as e:
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logger.error("Failed to load fallback model list: %s", e)
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return []
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def _is_text_output_model(model: dict) -> bool:
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"""Return True if the model's output is text-only (no audio/image generation)."""
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output_mods = model.get("architecture", {}).get("output_modalities", [])
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return output_mods == ["text"]
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def _process_models(raw_models: list[dict]) -> list[dict]:
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"""
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Transform raw OpenRouter model entries into a flat list of
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{value, label, provider, context_window} dicts.
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Only text-output models are included (audio/image generators are skipped).
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Each OpenRouter model is emitted once for OPENROUTER (full id) and,
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when the slug maps to a native provider, once more with just the
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model-name portion.
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"""
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processed: list[dict] = []
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for model in raw_models:
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model_id: str = model.get("id", "")
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name: str = model.get("name", "")
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context_length = model.get("context_length")
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if "/" not in model_id:
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continue
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if not _is_text_output_model(model):
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continue
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provider_slug, model_name = model_id.split("/", 1)
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context_window = _format_context_length(context_length)
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# 1) Always emit for OPENROUTER (value = full OpenRouter id)
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processed.append(
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{
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"value": model_id,
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"label": name,
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"provider": "OPENROUTER",
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"context_window": context_window,
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}
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)
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# 2) Emit for the native provider when we have a mapping
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native_provider = OPENROUTER_SLUG_TO_PROVIDER.get(provider_slug)
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if native_provider:
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# Google's Gemini API only serves gemini-* models.
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# Open-source models like gemma-* are NOT available through it.
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if native_provider == "GOOGLE" and not model_name.startswith("gemini-"):
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continue
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processed.append(
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{
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"value": model_name,
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"label": name,
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"provider": native_provider,
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"context_window": context_window,
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}
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)
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return processed
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async def get_model_list() -> list[dict]:
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"""
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Return the processed model list, using in-memory cache when fresh.
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Tries the OpenRouter API first, falls back to the local JSON file.
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"""
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global _cache, _cache_timestamp
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if _cache is not None and (time.time() - _cache_timestamp) < CACHE_TTL_SECONDS:
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return _cache
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raw_models = await _fetch_from_openrouter()
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if raw_models is None:
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logger.info("Using fallback model list")
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raw_models = _load_fallback()
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processed = _process_models(raw_models)
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_cache = processed
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_cache_timestamp = time.time()
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return processed
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@ -57,7 +57,9 @@ class NotionKBSyncService:
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)
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logger.debug(f"Fetching page content from Notion for page {page_id}")
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blocks, _ = await notion_connector.get_page_content(page_id, page_title=None)
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blocks, _ = await notion_connector.get_page_content(
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page_id, page_title=None
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)
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|
||||
from app.utils.notion_utils import extract_all_block_ids, process_blocks
|
||||
|
||||
|
|
@ -100,11 +102,16 @@ class NotionKBSyncService:
|
|||
full_content = fetched_content
|
||||
content_verified = False
|
||||
|
||||
logger.debug(f"Final content length: {len(full_content)} chars, verified={content_verified}")
|
||||
logger.debug(
|
||||
f"Final content length: {len(full_content)} chars, verified={content_verified}"
|
||||
)
|
||||
|
||||
logger.debug("Generating summary and embeddings")
|
||||
user_llm = await get_user_long_context_llm(
|
||||
self.db_session, user_id, search_space_id, disable_streaming=True # disable streaming to avoid leaking into the chat
|
||||
self.db_session,
|
||||
user_id,
|
||||
search_space_id,
|
||||
disable_streaming=True, # disable streaming to avoid leaking into the chat
|
||||
)
|
||||
|
||||
if user_llm:
|
||||
|
|
|
|||
262
surfsense_web/app/(home)/uptime/page.tsx
Normal file
262
surfsense_web/app/(home)/uptime/page.tsx
Normal file
|
|
@ -0,0 +1,262 @@
|
|||
import Link from "next/link";
|
||||
import { UPTIME_REPORT_URL } from "@/lib/env-config";
|
||||
|
||||
type UptimeStatus = "up" | "down";
|
||||
|
||||
interface LocationStat {
|
||||
uptime_status: UptimeStatus;
|
||||
response_time: number | null;
|
||||
last_check: number;
|
||||
}
|
||||
|
||||
interface UptimeMonitor {
|
||||
id: string;
|
||||
name: string;
|
||||
type: string;
|
||||
target: string;
|
||||
last_check: number;
|
||||
uptime_status: UptimeStatus;
|
||||
monitor_status: string;
|
||||
uptime: number;
|
||||
locations?: Record<string, LocationStat>;
|
||||
}
|
||||
|
||||
interface UptimeMonitorsApiResponse {
|
||||
monitors?: unknown[];
|
||||
}
|
||||
|
||||
const HETRIXTOOLS_API_BASE = "https://api.hetrixtools.com/v3";
|
||||
|
||||
function formatTimestamp(timestamp: number) {
|
||||
if (!Number.isFinite(timestamp) || timestamp <= 0) return "n/a";
|
||||
return new Date(timestamp * 1000).toLocaleString();
|
||||
}
|
||||
|
||||
function formatLocationName(location: string) {
|
||||
return location
|
||||
.replaceAll("_", " ")
|
||||
.split(" ")
|
||||
.map((part) => part.charAt(0).toUpperCase() + part.slice(1))
|
||||
.join(" ");
|
||||
}
|
||||
|
||||
function toNumber(value: unknown, fallback = 0) {
|
||||
if (typeof value === "number" && Number.isFinite(value)) return value;
|
||||
if (typeof value === "string") {
|
||||
const parsed = Number.parseFloat(value);
|
||||
if (Number.isFinite(parsed)) return parsed;
|
||||
}
|
||||
return fallback;
|
||||
}
|
||||
|
||||
function normalizeUptimeStatus(value: unknown): UptimeStatus {
|
||||
return value === "down" ? "down" : "up";
|
||||
}
|
||||
|
||||
function normalizeMonitor(rawMonitor: unknown): UptimeMonitor | null {
|
||||
if (!rawMonitor || typeof rawMonitor !== "object") return null;
|
||||
|
||||
const monitor = rawMonitor as Record<string, unknown>;
|
||||
const rawLocations =
|
||||
monitor.locations && typeof monitor.locations === "object"
|
||||
? (monitor.locations as Record<string, unknown>)
|
||||
: {};
|
||||
|
||||
const locations: Record<string, LocationStat> = {};
|
||||
for (const [locationName, rawLocation] of Object.entries(rawLocations)) {
|
||||
if (!rawLocation || typeof rawLocation !== "object") continue;
|
||||
const location = rawLocation as Record<string, unknown>;
|
||||
locations[locationName] = {
|
||||
uptime_status: normalizeUptimeStatus(location.uptime_status),
|
||||
response_time:
|
||||
location.response_time === null ? null : toNumber(location.response_time, 0),
|
||||
last_check: toNumber(location.last_check, 0),
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
id: String(monitor.id ?? ""),
|
||||
name: String(monitor.name ?? "Unnamed monitor"),
|
||||
type: String(monitor.type ?? ""),
|
||||
target: String(monitor.target ?? ""),
|
||||
last_check: toNumber(monitor.last_check, 0),
|
||||
uptime_status: normalizeUptimeStatus(monitor.uptime_status),
|
||||
monitor_status: String(monitor.monitor_status ?? "unknown"),
|
||||
uptime: toNumber(monitor.uptime, 0),
|
||||
locations,
|
||||
};
|
||||
}
|
||||
|
||||
async function fetchUptimeMonitors(): Promise<{
|
||||
monitors: UptimeMonitor[];
|
||||
error?: string;
|
||||
}> {
|
||||
const apiKey = process.env.HETRIXTOOLS_API_KEY;
|
||||
const monitorId = process.env.HETRIXTOOLS_MONITOR_ID;
|
||||
|
||||
if (!apiKey) {
|
||||
return {
|
||||
monitors: [],
|
||||
error:
|
||||
"Missing HETRIXTOOLS_API_KEY. Add it to your server environment to enable custom uptime UI.",
|
||||
};
|
||||
}
|
||||
|
||||
const query = monitorId
|
||||
? `id=${encodeURIComponent(monitorId)}`
|
||||
: "per_page=20&page=1&order_by=last_check&order=desc";
|
||||
|
||||
try {
|
||||
const response = await fetch(`${HETRIXTOOLS_API_BASE}/uptime-monitors?${query}`, {
|
||||
method: "GET",
|
||||
headers: {
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
next: { revalidate: 60 },
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
return {
|
||||
monitors: [],
|
||||
error: `HetrixTools API request failed (${response.status}).`,
|
||||
};
|
||||
}
|
||||
|
||||
const data = (await response.json()) as UptimeMonitorsApiResponse;
|
||||
const monitors = (data.monitors ?? [])
|
||||
.map((monitor) => normalizeMonitor(monitor))
|
||||
.filter((monitor): monitor is UptimeMonitor => monitor !== null);
|
||||
return { monitors };
|
||||
} catch {
|
||||
return {
|
||||
monitors: [],
|
||||
error: "Could not reach HetrixTools API from the server.",
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
export default async function UptimePage() {
|
||||
const { monitors, error } = await fetchUptimeMonitors();
|
||||
|
||||
return (
|
||||
<section className="min-h-screen pt-24 pb-16">
|
||||
<div className="mx-auto flex w-full max-w-6xl flex-col gap-6 px-4 sm:px-6 lg:px-8">
|
||||
<div className="rounded-2xl border border-neutral-200/70 bg-white/80 p-6 shadow-sm backdrop-blur-sm dark:border-neutral-800 dark:bg-neutral-950/70">
|
||||
<p className="text-sm font-medium uppercase tracking-wide text-emerald-600 dark:text-emerald-400">
|
||||
System Status
|
||||
</p>
|
||||
<h1 className="mt-2 text-3xl font-bold tracking-tight text-neutral-900 dark:text-neutral-100">
|
||||
SurfSense uptime dashboard
|
||||
</h1>
|
||||
<div className="mt-4 flex flex-wrap items-center gap-3 text-sm">
|
||||
<Link
|
||||
href={UPTIME_REPORT_URL}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="inline-flex items-center rounded-full border border-neutral-300 px-4 py-2 font-medium text-neutral-700 transition-colors hover:bg-neutral-100 dark:border-neutral-700 dark:text-neutral-200 dark:hover:bg-neutral-900"
|
||||
>
|
||||
Open original report
|
||||
</Link>
|
||||
<span className="text-xs text-neutral-500 dark:text-neutral-400">
|
||||
Source: HetrixTools v3 API (`/uptime-monitors`).
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{error ? (
|
||||
<div className="rounded-2xl border border-amber-300 bg-amber-50 p-5 text-amber-900 dark:border-amber-700/70 dark:bg-amber-950/30 dark:text-amber-200">
|
||||
<p className="font-semibold">Unable to load custom uptime data</p>
|
||||
<p className="mt-1 text-sm">{error}</p>
|
||||
</div>
|
||||
) : monitors.length === 0 ? (
|
||||
<div className="rounded-2xl border border-neutral-200/70 bg-white p-5 text-neutral-700 shadow-sm dark:border-neutral-800 dark:bg-neutral-950 dark:text-neutral-300">
|
||||
No uptime monitors returned by HetrixTools API.
|
||||
</div>
|
||||
) : (
|
||||
<div className="grid gap-4">
|
||||
{monitors.map((monitor) => {
|
||||
const locations = Object.entries(monitor.locations ?? {});
|
||||
const isUp = monitor.uptime_status === "up";
|
||||
|
||||
return (
|
||||
<div
|
||||
key={monitor.id}
|
||||
className="rounded-2xl border border-neutral-200/70 bg-white p-5 shadow-sm dark:border-neutral-800 dark:bg-neutral-950"
|
||||
>
|
||||
<div className="flex flex-wrap items-start justify-between gap-4">
|
||||
<div>
|
||||
<p className="text-lg font-semibold text-neutral-900 dark:text-neutral-100">
|
||||
{monitor.name}
|
||||
</p>
|
||||
<p className="mt-1 text-sm text-neutral-600 dark:text-neutral-400">
|
||||
{monitor.target || "No target shown"}
|
||||
</p>
|
||||
</div>
|
||||
<div
|
||||
className={`rounded-full px-3 py-1 text-xs font-semibold ${
|
||||
isUp
|
||||
? "bg-emerald-100 text-emerald-800 dark:bg-emerald-900/40 dark:text-emerald-300"
|
||||
: "bg-red-100 text-red-800 dark:bg-red-900/40 dark:text-red-300"
|
||||
}`}
|
||||
>
|
||||
{isUp ? "Operational" : "Outage"}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="mt-4 grid gap-3 sm:grid-cols-3">
|
||||
<div className="rounded-xl border border-neutral-200/70 p-3 dark:border-neutral-800">
|
||||
<p className="text-xs text-neutral-500 dark:text-neutral-400">Uptime</p>
|
||||
<p className="mt-1 text-lg font-semibold text-neutral-900 dark:text-neutral-100">
|
||||
{monitor.uptime.toFixed(4)}%
|
||||
</p>
|
||||
</div>
|
||||
<div className="rounded-xl border border-neutral-200/70 p-3 dark:border-neutral-800">
|
||||
<p className="text-xs text-neutral-500 dark:text-neutral-400">
|
||||
Last check
|
||||
</p>
|
||||
<p className="mt-1 text-sm font-medium text-neutral-900 dark:text-neutral-100">
|
||||
{formatTimestamp(monitor.last_check)}
|
||||
</p>
|
||||
</div>
|
||||
<div className="rounded-xl border border-neutral-200/70 p-3 dark:border-neutral-800">
|
||||
<p className="text-xs text-neutral-500 dark:text-neutral-400">
|
||||
Monitor status
|
||||
</p>
|
||||
<p className="mt-1 text-sm font-medium capitalize text-neutral-900 dark:text-neutral-100">
|
||||
{monitor.monitor_status.replaceAll("_", " ")}
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{locations.length > 0 && (
|
||||
<div className="mt-4">
|
||||
<p className="text-xs font-semibold uppercase tracking-wide text-neutral-500 dark:text-neutral-400">
|
||||
Locations
|
||||
</p>
|
||||
<div className="mt-2 grid gap-2 sm:grid-cols-2 lg:grid-cols-3">
|
||||
{locations.map(([locationName, locationData]) => (
|
||||
<div
|
||||
key={`${monitor.id}-${locationName}`}
|
||||
className="rounded-xl border border-neutral-200/70 p-3 dark:border-neutral-800"
|
||||
>
|
||||
<p className="text-sm font-medium text-neutral-900 dark:text-neutral-100">
|
||||
{formatLocationName(locationName)}
|
||||
</p>
|
||||
<p className="mt-1 text-xs text-neutral-600 dark:text-neutral-400">
|
||||
{locationData.uptime_status === "up" ? "Up" : "Down"} ·{" "}
|
||||
{locationData.response_time ?? "n/a"} ms
|
||||
</p>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</section>
|
||||
);
|
||||
}
|
||||
|
|
@ -1,4 +1,6 @@
|
|||
import { atomWithQuery } from "jotai-tanstack-query";
|
||||
import type { LLMModel } from "@/contracts/enums/llm-models";
|
||||
import { LLM_MODELS } from "@/contracts/enums/llm-models";
|
||||
import { newLLMConfigApiService } from "@/lib/apis/new-llm-config-api.service";
|
||||
import { cacheKeys } from "@/lib/query-client/cache-keys";
|
||||
import { activeSearchSpaceIdAtom } from "../search-spaces/search-space-query.atoms";
|
||||
|
|
@ -62,3 +64,33 @@ export const defaultSystemInstructionsAtom = atomWithQuery(() => {
|
|||
},
|
||||
};
|
||||
});
|
||||
|
||||
/**
|
||||
* Query atom for the dynamic LLM model catalogue.
|
||||
* Fetched from the backend (which proxies OpenRouter's public API).
|
||||
* Falls back to the static hardcoded list on error.
|
||||
*/
|
||||
export const modelListAtom = atomWithQuery(() => {
|
||||
return {
|
||||
queryKey: cacheKeys.newLLMConfigs.modelList(),
|
||||
staleTime: 60 * 60 * 1000, // 1 hour - models don't change often
|
||||
placeholderData: LLM_MODELS,
|
||||
queryFn: async (): Promise<LLMModel[]> => {
|
||||
const data = await newLLMConfigApiService.getModels();
|
||||
const dynamicModels = data.map((m) => ({
|
||||
value: m.value,
|
||||
label: m.label,
|
||||
provider: m.provider,
|
||||
contextWindow: m.context_window ?? undefined,
|
||||
}));
|
||||
|
||||
// Providers covered by the dynamic API (from OpenRouter mapping).
|
||||
// For uncovered providers (Ollama, Groq, Bedrock, etc.) keep the
|
||||
// hand-curated static suggestions so users still see model options.
|
||||
const coveredProviders = new Set(dynamicModels.map((m) => m.provider));
|
||||
const staticFallbacks = LLM_MODELS.filter((m) => !coveredProviders.has(m.provider));
|
||||
|
||||
return [...dynamicModels, ...staticFallbacks];
|
||||
},
|
||||
};
|
||||
});
|
||||
|
|
|
|||
|
|
@ -147,7 +147,7 @@ export function ChatShareButton({ thread, onVisibilityChange, className }: ChatS
|
|||
onClick={() => router.push(`/dashboard/${params.search_space_id}/settings`)}
|
||||
className="flex items-center justify-center h-8 w-8 rounded-md bg-muted/50 hover:bg-muted transition-colors"
|
||||
>
|
||||
<Globe className="h-4 w-4 text-muted-foreground" />
|
||||
<Earth className="h-4 w-4 text-muted-foreground" />
|
||||
</button>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>
|
||||
|
|
|
|||
|
|
@ -13,10 +13,13 @@ import {
|
|||
Sparkles,
|
||||
} from "lucide-react";
|
||||
import { AnimatePresence, motion } from "motion/react";
|
||||
import { useEffect, useState } from "react";
|
||||
import { useEffect, useMemo, useState } from "react";
|
||||
import { useForm } from "react-hook-form";
|
||||
import { z } from "zod";
|
||||
import { defaultSystemInstructionsAtom } from "@/atoms/new-llm-config/new-llm-config-query.atoms";
|
||||
import {
|
||||
defaultSystemInstructionsAtom,
|
||||
modelListAtom,
|
||||
} from "@/atoms/new-llm-config/new-llm-config-query.atoms";
|
||||
import { Badge } from "@/components/ui/badge";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Collapsible, CollapsibleContent, CollapsibleTrigger } from "@/components/ui/collapsible";
|
||||
|
|
@ -50,7 +53,6 @@ import { Separator } from "@/components/ui/separator";
|
|||
import { Spinner } from "@/components/ui/spinner";
|
||||
import { Switch } from "@/components/ui/switch";
|
||||
import { Textarea } from "@/components/ui/textarea";
|
||||
import { getModelsByProvider } from "@/contracts/enums/llm-models";
|
||||
import { LLM_PROVIDERS } from "@/contracts/enums/llm-providers";
|
||||
import type { CreateNewLLMConfigRequest } from "@/contracts/types/new-llm-config.types";
|
||||
import { cn } from "@/lib/utils";
|
||||
|
|
@ -66,7 +68,7 @@ const formSchema = z.object({
|
|||
api_key: z.string().min(1, "API key is required"),
|
||||
api_base: z.string().max(500).optional().nullable(),
|
||||
litellm_params: z.record(z.string(), z.any()).optional().nullable(),
|
||||
system_instructions: z.string().optional().default(""),
|
||||
system_instructions: z.string().default(""),
|
||||
use_default_system_instructions: z.boolean().default(true),
|
||||
citations_enabled: z.boolean().default(true),
|
||||
search_space_id: z.number(),
|
||||
|
|
@ -74,7 +76,7 @@ const formSchema = z.object({
|
|||
|
||||
type FormValues = z.infer<typeof formSchema>;
|
||||
|
||||
export interface LLMConfigFormData extends CreateNewLLMConfigRequest {}
|
||||
export type LLMConfigFormData = CreateNewLLMConfigRequest;
|
||||
|
||||
interface LLMConfigFormProps {
|
||||
initialData?: Partial<LLMConfigFormData>;
|
||||
|
|
@ -102,12 +104,14 @@ export function LLMConfigForm({
|
|||
const { data: defaultInstructions, isSuccess: defaultInstructionsLoaded } = useAtomValue(
|
||||
defaultSystemInstructionsAtom
|
||||
);
|
||||
const { data: dynamicModels } = useAtomValue(modelListAtom);
|
||||
const [modelComboboxOpen, setModelComboboxOpen] = useState(false);
|
||||
const [advancedOpen, setAdvancedOpen] = useState(false);
|
||||
const [systemInstructionsOpen, setSystemInstructionsOpen] = useState(false);
|
||||
|
||||
const form = useForm<FormValues>({
|
||||
resolver: zodResolver(formSchema),
|
||||
// eslint-disable-next-line @typescript-eslint/no-explicit-any
|
||||
resolver: zodResolver(formSchema) as any,
|
||||
defaultValues: {
|
||||
name: initialData?.name ?? "",
|
||||
description: initialData?.description ?? "",
|
||||
|
|
@ -138,7 +142,10 @@ export function LLMConfigForm({
|
|||
|
||||
const watchProvider = form.watch("provider");
|
||||
const selectedProvider = LLM_PROVIDERS.find((p) => p.value === watchProvider);
|
||||
const availableModels = watchProvider ? getModelsByProvider(watchProvider) : [];
|
||||
const availableModels = useMemo(
|
||||
() => (dynamicModels ?? []).filter((m) => m.provider === watchProvider),
|
||||
[dynamicModels, watchProvider]
|
||||
);
|
||||
|
||||
const handleProviderChange = (value: string) => {
|
||||
form.setValue("provider", value);
|
||||
|
|
@ -293,57 +300,58 @@ export function LLMConfigForm({
|
|||
</FormControl>
|
||||
</PopoverTrigger>
|
||||
<PopoverContent className="w-full p-0" align="start">
|
||||
<Command shouldFilter={false}>
|
||||
<CommandInput
|
||||
placeholder={selectedProvider?.example || "Type model name..."}
|
||||
value={field.value}
|
||||
onValueChange={field.onChange}
|
||||
/>
|
||||
<CommandList>
|
||||
<CommandEmpty>
|
||||
<div className="py-3 text-center text-sm text-muted-foreground">
|
||||
{field.value ? `Using: "${field.value}"` : "Type your model name"}
|
||||
</div>
|
||||
</CommandEmpty>
|
||||
{availableModels.length > 0 && (
|
||||
<CommandGroup heading="Suggested Models">
|
||||
{availableModels
|
||||
.filter(
|
||||
(model) =>
|
||||
!field.value ||
|
||||
model.value.toLowerCase().includes(field.value.toLowerCase())
|
||||
)
|
||||
.slice(0, 8)
|
||||
.map((model) => (
|
||||
<CommandItem
|
||||
key={model.value}
|
||||
value={model.value}
|
||||
onSelect={(value) => {
|
||||
field.onChange(value);
|
||||
setModelComboboxOpen(false);
|
||||
}}
|
||||
className="py-2"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
field.value === model.value ? "opacity-100" : "opacity-0"
|
||||
)}
|
||||
/>
|
||||
<div>
|
||||
<div className="font-medium">{model.label}</div>
|
||||
{model.contextWindow && (
|
||||
<div className="text-xs text-muted-foreground">
|
||||
Context: {model.contextWindow}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</CommandItem>
|
||||
))}
|
||||
</CommandGroup>
|
||||
)}
|
||||
</CommandList>
|
||||
</Command>
|
||||
<Command shouldFilter={false}>
|
||||
<CommandInput
|
||||
placeholder={selectedProvider?.example || "Type model name..."}
|
||||
value={field.value}
|
||||
onValueChange={field.onChange}
|
||||
/>
|
||||
<CommandList className="max-h-[300px]">
|
||||
<CommandEmpty>
|
||||
<div className="py-3 text-center text-sm text-muted-foreground">
|
||||
{field.value ? `Using: "${field.value}"` : "Type your model name"}
|
||||
</div>
|
||||
</CommandEmpty>
|
||||
{availableModels.length > 0 && (
|
||||
<CommandGroup heading="Suggested Models">
|
||||
{availableModels
|
||||
.filter(
|
||||
(model) =>
|
||||
!field.value ||
|
||||
model.value.toLowerCase().includes(field.value.toLowerCase()) ||
|
||||
model.label.toLowerCase().includes(field.value.toLowerCase())
|
||||
)
|
||||
.slice(0, 50)
|
||||
.map((model) => (
|
||||
<CommandItem
|
||||
key={model.value}
|
||||
value={model.value}
|
||||
onSelect={(value) => {
|
||||
field.onChange(value);
|
||||
setModelComboboxOpen(false);
|
||||
}}
|
||||
className="py-2"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
field.value === model.value ? "opacity-100" : "opacity-0"
|
||||
)}
|
||||
/>
|
||||
<div>
|
||||
<div className="font-medium">{model.label}</div>
|
||||
{model.contextWindow && (
|
||||
<div className="text-xs text-muted-foreground">
|
||||
Context: {model.contextWindow}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</CommandItem>
|
||||
))}
|
||||
</CommandGroup>
|
||||
)}
|
||||
</CommandList>
|
||||
</Command>
|
||||
</PopoverContent>
|
||||
</Popover>
|
||||
{selectedProvider?.example && (
|
||||
|
|
@ -376,7 +384,7 @@ export function LLMConfigForm({
|
|||
</FormControl>
|
||||
{watchProvider === "OLLAMA" && (
|
||||
<FormDescription className="text-[10px] sm:text-xs">
|
||||
Ollama doesn't require auth — enter any value
|
||||
Ollama doesn't require auth — enter any value
|
||||
</FormDescription>
|
||||
)}
|
||||
<FormMessage />
|
||||
|
|
@ -537,7 +545,7 @@ export function LLMConfigForm({
|
|||
/>
|
||||
</FormControl>
|
||||
<FormDescription className="text-[10px] sm:text-xs">
|
||||
Use {"{resolved_today}"} to include today's date dynamically
|
||||
Use {"{resolved_today}"} to include today's date dynamically
|
||||
</FormDescription>
|
||||
<FormMessage />
|
||||
</FormItem>
|
||||
|
|
|
|||
|
|
@ -258,30 +258,6 @@ export const LLM_MODELS: LLMModel[] = [
|
|||
provider: "DEEPSEEK",
|
||||
contextWindow: "128K",
|
||||
},
|
||||
{
|
||||
value: "deepseek-chat",
|
||||
label: "DeepSeek Chat V3",
|
||||
provider: "DEEPSEEK",
|
||||
contextWindow: "66K",
|
||||
},
|
||||
{
|
||||
value: "deepseek-v3",
|
||||
label: "DeepSeek V3",
|
||||
provider: "DEEPSEEK",
|
||||
contextWindow: "66K",
|
||||
},
|
||||
{
|
||||
value: "deepseek-r1",
|
||||
label: "DeepSeek R1",
|
||||
provider: "DEEPSEEK",
|
||||
contextWindow: "66K",
|
||||
},
|
||||
{
|
||||
value: "deepseek-r1-0528",
|
||||
label: "DeepSeek R1 (0528)",
|
||||
provider: "DEEPSEEK",
|
||||
contextWindow: "65K",
|
||||
},
|
||||
|
||||
// xAI (Grok)
|
||||
{ value: "grok-4", label: "Grok 4", provider: "XAI", contextWindow: "256K" },
|
||||
|
|
@ -1134,7 +1110,7 @@ export const LLM_MODELS: LLMModel[] = [
|
|||
contextWindow: "8K",
|
||||
},
|
||||
{
|
||||
value: "mixtral-8x7B-Instruct-v0.1",
|
||||
value: "mixtral",
|
||||
label: "Ollama Mixtral 8x7B",
|
||||
provider: "OLLAMA",
|
||||
contextWindow: "33K",
|
||||
|
|
@ -1236,13 +1212,13 @@ export const LLM_MODELS: LLMModel[] = [
|
|||
|
||||
// Zhipu (GLM)
|
||||
{
|
||||
value: "z-ai/glm-4.6",
|
||||
value: "glm-4.6",
|
||||
label: "GLM 4.6",
|
||||
provider: "ZHIPU",
|
||||
contextWindow: "203K",
|
||||
},
|
||||
{
|
||||
value: "z-ai/glm-4.6:exacto",
|
||||
value: "glm-4.6:exacto",
|
||||
label: "GLM 4.6 Exacto",
|
||||
provider: "ZHIPU",
|
||||
contextWindow: "203K",
|
||||
|
|
@ -1350,7 +1326,7 @@ export const LLM_MODELS: LLMModel[] = [
|
|||
contextWindow: "128K",
|
||||
},
|
||||
{
|
||||
value: "openai/gpt-oss-120b",
|
||||
value: "gpt-oss-120b",
|
||||
label: "Cerebras GPT-OSS-120B",
|
||||
provider: "CEREBRAS",
|
||||
contextWindow: "131K",
|
||||
|
|
|
|||
|
|
@ -128,7 +128,7 @@ export const LLM_PROVIDERS: LLMProvider[] = [
|
|||
{
|
||||
value: "ZHIPU",
|
||||
label: "Zhipu (GLM)",
|
||||
example: "openrouter/z-ai/glm-4.6",
|
||||
example: "glm-4.6, glm-4.6:exacto",
|
||||
description: "GLM series models",
|
||||
apiBase: "https://open.bigmodel.cn/api/paas/v4",
|
||||
},
|
||||
|
|
|
|||
|
|
@ -291,6 +291,22 @@ export const updateLLMPreferencesRequest = z.object({
|
|||
|
||||
export const updateLLMPreferencesResponse = llmPreferences;
|
||||
|
||||
// =============================================================================
|
||||
// Model List (dynamic catalogue from OpenRouter API)
|
||||
// =============================================================================
|
||||
|
||||
export const modelListItem = z.object({
|
||||
value: z.string(),
|
||||
label: z.string(),
|
||||
provider: z.string(),
|
||||
context_window: z.string().nullable().optional(),
|
||||
});
|
||||
|
||||
export const getModelListResponse = z.array(modelListItem);
|
||||
|
||||
export type ModelListItem = z.infer<typeof modelListItem>;
|
||||
export type GetModelListResponse = z.infer<typeof getModelListResponse>;
|
||||
|
||||
// =============================================================================
|
||||
// Type Exports
|
||||
// =============================================================================
|
||||
|
|
|
|||
|
|
@ -10,6 +10,7 @@ import {
|
|||
getDefaultSystemInstructionsResponse,
|
||||
getGlobalNewLLMConfigsResponse,
|
||||
getLLMPreferencesResponse,
|
||||
getModelListResponse,
|
||||
getNewLLMConfigRequest,
|
||||
getNewLLMConfigResponse,
|
||||
getNewLLMConfigsRequest,
|
||||
|
|
@ -145,6 +146,13 @@ class NewLLMConfigApiService {
|
|||
);
|
||||
};
|
||||
|
||||
/**
|
||||
* Get the dynamic LLM model catalogue (sourced from OpenRouter API)
|
||||
*/
|
||||
getModels = async () => {
|
||||
return baseApiService.get(`/api/v1/models`, getModelListResponse);
|
||||
};
|
||||
|
||||
/**
|
||||
* Update LLM preferences for a search space
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -33,6 +33,7 @@ export const cacheKeys = {
|
|||
preferences: (searchSpaceId: number) => ["llm-preferences", searchSpaceId] as const,
|
||||
defaultInstructions: () => ["new-llm-configs", "default-instructions"] as const,
|
||||
global: () => ["new-llm-configs", "global"] as const,
|
||||
modelList: () => ["models", "catalogue"] as const,
|
||||
},
|
||||
imageGenConfigs: {
|
||||
all: (searchSpaceId: number) => ["image-gen-configs", searchSpaceId] as const,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue