* add eslint config to server
* add break statements to switch case
* add support for browser globals and turn off empty catch blocks
* disable lines with useless try/catch wrappers
* format
* fix no-undef errors
* disbale lines violating no-unsafe-finally
* ignore syncStaticLists.mjs
* use proper null check for creatorId instead of unreachable nullish coalescing
* remove unneeded typescript eslint comment
* make no-unused-private-class-members a warning
* disable line for no-empty-objects
* add new lint script
* fix no-unused-vars violations
* make no-unsued-vars an error
---------
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* checkpoint
* test MCP and flows
* add native tool call detection back to LMStudio
* add native tool call loops for Ollama
* Add ablity detection to DMR (regex parse)
* bedrock and generic openai with ENV flag
* deepseek native tool calling
* localAI native function
* groq support
* linting, add litellm and OR native tool calling via flag
* Refactor LLMPerformanceMonitor to use options object for measureStream parameters
* Refactor invocations of `measureStream` to use options arguments
* Change invocation of `measureStream` in anthropic provider to use options argument
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* add model tag to chatCompletion
* add modelTag `model` to async streaming
keeps default arguments for prompt token calculation where applied via explict arg
* fix HF default arg
* render all performance metrics as available for backward compatibility
add `timestamp` to both sync/async chat methods
* extract metrics string to function
* auto model context limit detection for ollama llm provider
* auto model context limit detection for lmstudio llm provider
* Patch Ollama to function and sync context windows like Foundry
* normalize how model context windows are cached from endpoint service
todo: move this into global utility class with MODEL_MAP
eager load models on boot to pre-cache them
add performance model improvements into ollama agent as well as apply n_ctx
* remove debug log
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Enable agent context windows to be accurate per provider:model
* Refactor model mapping to external file
Add token count to document length instead of char-count
refernce promptWindowLimit from AIProvider in central location
* remove unused imports
* refactor stream/chat/embed-stram to be a single execution logic path so that it is easier to maintain and build upon
* no thread in sync chat since only api uses it
adjust import locations
* add support for mistral api
* update docs to show support for Mistral
* add default temp to all providers, suggest different results per provider
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* WIP model selection per workspace (migrations and openai saves properly
* revert OpenAiOption
* add support for models per workspace for anthropic, localAi, ollama, openAi, and togetherAi
* remove unneeded comments
* update logic for when LLMProvider is reset, reset Ai provider files with master
* remove frontend/api reset of workspace chat and move logic to updateENV
add postUpdate callbacks to envs
* set preferred model for chat on class instantiation
* remove extra param
* linting
* remove unused var
* refactor chat model selection on workspace
* linting
* add fallback for base path to localai models
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Using OpenAI API locally
* Infinite prompt input and compression implementation (#332)
* WIP on continuous prompt window summary
* wip
* Move chat out of VDB
simplify chat interface
normalize LLM model interface
have compression abstraction
Cleanup compressor
TODO: Anthropic stuff
* Implement compression for Anythropic
Fix lancedb sources
* cleanup vectorDBs and check that lance, chroma, and pinecone are returning valid metadata sources
* Resolve Weaviate citation sources not working with schema
* comment cleanup
* disable import on hosted instances (#339)
* disable import on hosted instances
* Update UI on disabled import/export
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Add support for gpt-4-turbo 128K model (#340)
resolves#336
Add support for gpt-4-turbo 128K model
* 315 show citations based on relevancy score (#316)
* settings for similarity score threshold and prisma schema updated
* prisma schema migration for adding similarityScore setting
* WIP
* Min score default change
* added similarityThreshold checking for all vectordb providers
* linting
---------
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* rename localai to lmstudio
* forgot files that were renamed
* normalize model interface
* add model and context window limits
* update LMStudio tagline
* Fully working LMStudio integration
---------
Co-authored-by: Francisco Bischoff <984592+franzbischoff@users.noreply.github.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
Co-authored-by: Sean Hatfield <seanhatfield5@gmail.com>
