feat: moved LLMConfigs from User to SearchSpaces

- RBAC soon??
- Updated various services and routes to handle search space-specific LLM preferences.
- Modified frontend components to pass search space ID for LLM configuration management.
- Removed onboarding page and settings page as part of the refactor.
This commit is contained in:
DESKTOP-RTLN3BA\$punk 2025-10-10 00:50:29 -07:00
parent a1b1db3895
commit 633ea3ac0f
44 changed files with 1075 additions and 518 deletions

View file

@ -104,9 +104,11 @@ async def add_extension_received_document(
return existing_document
# Get user's long context LLM
user_llm = await get_user_long_context_llm(session, user_id)
user_llm = await get_user_long_context_llm(session, user_id, search_space_id)
if not user_llm:
raise RuntimeError(f"No long context LLM configured for user {user_id}")
raise RuntimeError(
f"No long context LLM configured for user {user_id} in search space {search_space_id}"
)
# Generate summary with metadata
document_metadata = {

View file

@ -60,9 +60,11 @@ async def add_received_file_document_using_unstructured(
# TODO: Check if file_markdown exceeds token limit of embedding model
# Get user's long context LLM
user_llm = await get_user_long_context_llm(session, user_id)
user_llm = await get_user_long_context_llm(session, user_id, search_space_id)
if not user_llm:
raise RuntimeError(f"No long context LLM configured for user {user_id}")
raise RuntimeError(
f"No long context LLM configured for user {user_id} in search space {search_space_id}"
)
# Generate summary with metadata
document_metadata = {
@ -140,9 +142,11 @@ async def add_received_file_document_using_llamacloud(
return existing_document
# Get user's long context LLM
user_llm = await get_user_long_context_llm(session, user_id)
user_llm = await get_user_long_context_llm(session, user_id, search_space_id)
if not user_llm:
raise RuntimeError(f"No long context LLM configured for user {user_id}")
raise RuntimeError(
f"No long context LLM configured for user {user_id} in search space {search_space_id}"
)
# Generate summary with metadata
document_metadata = {
@ -221,9 +225,11 @@ async def add_received_file_document_using_docling(
return existing_document
# Get user's long context LLM
user_llm = await get_user_long_context_llm(session, user_id)
user_llm = await get_user_long_context_llm(session, user_id, search_space_id)
if not user_llm:
raise RuntimeError(f"No long context LLM configured for user {user_id}")
raise RuntimeError(
f"No long context LLM configured for user {user_id} in search space {search_space_id}"
)
# Generate summary using chunked processing for large documents
from app.services.docling_service import create_docling_service

View file

@ -75,9 +75,11 @@ async def add_received_markdown_file_document(
return existing_document
# Get user's long context LLM
user_llm = await get_user_long_context_llm(session, user_id)
user_llm = await get_user_long_context_llm(session, user_id, search_space_id)
if not user_llm:
raise RuntimeError(f"No long context LLM configured for user {user_id}")
raise RuntimeError(
f"No long context LLM configured for user {user_id} in search space {search_space_id}"
)
# Generate summary with metadata
document_metadata = {

View file

@ -161,9 +161,11 @@ async def add_crawled_url_document(
)
# Get user's long context LLM
user_llm = await get_user_long_context_llm(session, user_id)
user_llm = await get_user_long_context_llm(session, user_id, search_space_id)
if not user_llm:
raise RuntimeError(f"No long context LLM configured for user {user_id}")
raise RuntimeError(
f"No long context LLM configured for user {user_id} in search space {search_space_id}"
)
# Generate summary
await task_logger.log_task_progress(

View file

@ -234,9 +234,11 @@ async def add_youtube_video_document(
)
# Get user's long context LLM
user_llm = await get_user_long_context_llm(session, user_id)
user_llm = await get_user_long_context_llm(session, user_id, search_space_id)
if not user_llm:
raise RuntimeError(f"No long context LLM configured for user {user_id}")
raise RuntimeError(
f"No long context LLM configured for user {user_id} in search space {search_space_id}"
)
# Generate summary
await task_logger.log_task_progress(