Eric Hare
ee16120cc2
Merge pull request #638 from langflow-ai/fix-granite-33-model
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fix: Support tool calling for granite 3.3
2025-12-12 08:22:46 -08:00
Eric Hare
7074de5ba7
fix: Tool calling for granite 3.3
2025-12-09 10:07:21 -08:00
Eric Hare
9eaec94a2f
fix: Revise prompt to handle markdown uploads
2025-12-08 09:33:21 -08:00
Lucas Oliveira
0b40b606c2
fix: chat blocking async requests ( #619 )
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* fix chat blocking async requests
* fix delete user conversation not being async
2025-12-05 17:48:51 -03:00
phact
0fc0be855c
onboarding filter creation + sticky filters
2025-12-02 02:31:59 -05:00
Cole Goldsmith
f6e6aa43a2
Feat/provider improvements ( #422 )
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* remove connection dot indicators on settings page, better toast message for provider setup dialogs, fix typo in default agent prompt
* format
* open llm model select when toast button to settings is clicked
2025-11-19 15:20:27 -06:00
Lucas Oliveira
37faf94979
feat: adds anthropic provider, splits onboarding editing into two, support provider changing with generic llm and embedding components ( #373 )
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* Added flows with new components
* commented model provider assignment
* Added agent component display name
* commented provider assignment, assign provider on the generic component, assign custom values
* fixed ollama not showing loading steps, fixed loading steps never being removed
* made embedding and llm model optional on onboarding call
* added isEmbedding handling on useModelSelection
* added isEmbedding on onboarding card, separating embedding from non embedding card
* Added one additional step to configure embeddings
* Added embedding provider config
* Changed settings.py to return if not embedding
* Added editing fields to onboarding
* updated onboarding and flows_service to change embedding and llm separately
* updated templates that needs to be changed with provider values
* updated flows with new components
* Changed config manager to not have default models
* Changed flows_service settings
* Complete steps if not embedding
* Add more onboarding steps
* Removed one step from llm steps
* Added Anthropic as a model for the language model on the frontend
* Added anthropic models
* Added anthropic support on Backend
* Fixed provider health and validation
* Format settings
* Change anthropic logo
* Changed button to not jump
* Changed flows service to make anthropic work
* Fixed some things
* add embedding specific global variables
* updated flows
* fixed ingestion flow
* Implemented anthropic on settings page
* add embedding provider logo
* updated backend to work with multiple provider config
* update useUpdateSettings with new settings type
* updated provider health banner to check for health with new api
* changed queries and mutations to use new api
* changed embedding model input to work with new api
* Implemented provider based config on the frontend
* update existing design
* fixed settings configured
* fixed provider health query to include health check for both the providers
* Changed model-providers to show correctly the configured providers
* Updated prompt
* updated openrag agent
* Fixed settings to allow editing providers and changing llm and embedding models
* updated settings
* changed lf ver
* bump openrag version
* added more steps
* update settings to create the global variables
* updated steps
* updated default prompt
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Co-authored-by: Sebastián Estévez <estevezsebastian@gmail.com>
2025-11-11 19:22:16 -03:00
phact
75c1ea1cfe
system prompt to avoid hallucinations
2025-11-10 15:49:06 -05:00
Lucas Oliveira
fcf7a302d0
feat: adds what is openrag prompt, refactors chat design, adds scroll to bottom on chat, adds streaming support ( #283 )
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* Changed prompts to include info about OpenRAG, change status of As Dataframe and As Vector Store to false on OpenSearch component
* added markdown to onboarding step
* added className to markdown renderer
* changed onboarding step to not render span
* Added nudges to onboarding content
* Added onboarding style for nudges
* updated user message and assistant message designs
* updated route.ts to handle streaming messages
* created new useChatStreaming to handle streaming
* changed useChatStreaming to work with the chat page
* changed onboarding content to use default messages instead of onboarding steps, and to use the new hook to send messages
* added span to the markdown renderer on stream
* updated page to use new chat streaming hook
* disable animation on completed steps
* changed markdown renderer margins
* changed css to not display markdown links and texts on white always
* added isCompleted to assistant and user messages
* removed space between elements on onboarding step to ensure smoother animation
* removed opacity 50 on onboarding messages
* changed default api to be langflow on chat streaming
* added fade in and color transition
* added color transition
* Rendered onboarding with use-stick-to-bottom
* Added use stick to bottom on page
* fixed nudges design
* changed chat input design
* fixed nudges design
* made overflow be hidden on main
* Added overflow y auto on other pages
* Put animate on messages
* Add source to types
* Adds animate and delay props to messages
2025-10-22 14:03:23 -03:00
Lucas Oliveira
28e566a1f4
feat: add session delete functionality ( #70 )
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* implement delete user conversation on agent
* format
* implement delete session endpoint
* implement delete session on persistence services
* added deletion of sessions and added fetch sessions with query instead of with useEffect
* removed unused texts
* implemented dropdown menu on conversations
2025-09-24 17:41:53 -03:00
Mike Fortman
917b078c20
old tweaks cleanup
2025-09-23 16:01:02 -05:00
Mike Fortman
7da9b98204
add docling presets
2025-09-20 11:05:01 -05:00
Edwin Jose
9358408285
Update agent.py
2025-09-10 12:40:44 -04:00
phact
73f039afb5
logging
2025-09-08 16:07:06 -04:00
Lucas Oliveira
192693d82d
fixed agent.py extra comma
2025-09-08 16:36:03 -03:00
Lucas Oliveira
d6bf6444e5
Merge remote-tracking branch 'origin/main' into feat/nudges
2025-09-08 16:25:59 -03:00
cristhianzl
68652dd298
📝 (agent.py): Update comments and function names for clarity and consistency
...
🔧 (agent.py): Add support for in-memory storage of active conversation threads
🔧 (agent.py): Implement storing conversation metadata in memory and persisting to disk
🔧 (chat_service.py): Refactor get_chat_history method to handle in-memory and persistent conversations
🔧 (chat_service.py): Enhance get_chat_history to process in-memory and persistent conversations
🔧 (chat_service.py): Improve handling of in-memory and Langflow database conversations
🔧 (chat_service.py): Refactor get_user_conversation method for better handling of in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Update get_user_conversation to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Update get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Enhance get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Refactor get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat_service.py): Improve get_user_conversation method to handle in-memory and metadata-only conversations
🔧 (chat
2025-09-05 18:15:51 -03:00
cristhianzl
f83851b259
✨ (frontend): refactor message processing in ChatPage component to handle function calls from chunks or response_data
...
♻️ (agent.py): refactor async_response, async_langflow, async_chat, async_langflow_chat, and async_langflow_chat_stream functions to return full response object for function calls
🔧 (chat_service.py): update ChatService to include function call data in message_data if present
2025-09-05 16:53:02 -03:00
cristhianzl
7ff3bfd70b
merge fix
2025-09-05 16:04:14 -03:00
cristhianzl
18b4059b56
🔧 (agent.py): Import and use conversation_persistence_service to handle user conversations storage and retrieval
...
🔧 (conversation_persistence_service.py): Create a service to persist chat conversations to disk for server restarts
2025-09-05 16:03:06 -03:00
phact
d198ffa706
logging & format
2025-09-04 20:56:47 -04:00
Lucas Oliveira
aad89b9166
Add nudges service into backend
2025-09-04 18:15:46 -03:00
cristhianzl
c87877bb80
✨ (agent.py): Improve user ID validation by checking if it is a Google numeric ID or a Langflow UUID format
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♻️ (langflow_history_service.py, user_binding_service.py): Refactor UUID format check to use a more descriptive and clear logic based on user ID type
2025-09-04 16:26:31 -03:00
cristhianzl
a18e3d25dd
merge fix
2025-09-03 17:44:18 -03:00
cristhianzl
0cd0297247
✨ (agent.py): Add functionality to claim session ownership for Google users in async_langflow_chat and async_langflow_chat_stream functions
...
🔧 (chat_service.py): Refactor conversation deduplication logic and source statistics calculation for better performance and accuracy
🔧 (langflow_history_service.py): Implement session ownership filtering for Google users and enhance session ownership tracking functionality
🔧 (session_ownership_service.py): Create SessionOwnershipService to track session ownership for proper message history separation
2025-09-03 17:42:28 -03:00
phact
a52a842df9
centralized logging
2025-09-03 15:57:35 -04:00
phact
9074bda6ed
ruff
2025-09-03 09:17:30 -04:00
phact
8f9afa0950
x-api-key fix
2025-08-27 23:09:48 -04:00
phact
be61909bed
in memory chat history and WIP conversation forking
2025-08-22 03:04:46 -04:00
phact
7ab8433aa8
changes to support jwt through langflow
2025-08-12 00:30:32 -04:00
phact
91f6f645f4
gdrive v0
2025-07-29 02:12:44 -04:00
phact
91061cbf24
suport include tool call results backend and frontend
2025-07-24 16:56:43 -04:00
phact
75fd0fae69
conversation history fix
2025-07-21 11:02:58 -04:00
phact
d0f19b7718
streaming and tool calling in ui
2025-07-18 14:10:11 -04:00
phact
3777e61496
new langflow endpoint
2025-07-16 03:54:46 -04:00
phact
4a2256a0f5
responses api (not streaming yet)
2025-07-16 01:18:29 -04:00
phact
4e83c7c973
agent / chat backend
2025-07-11 12:15:09 -04:00
