* implement cohere agent support
* run yarn lint
* moderize Cohere
add supported langchain method
redo streaming since it was not working
looping of agent calls was not functioning
* change default model to real model tag
add case statement for model tag
* remove debug
* update default
* only whitelist known labels
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Refactor Azure OpenAI integration to use OpenAI SDK and the v1 API | Enable streaming for Azure Open AI basic inference provider
* Add info tooltip to inform user about 'Model Type' form field
* Add 'model_type_tooltip' key to multiple language translations
* Validate AZURE_OPENAI_ENDPOINT in provider construction
* remove unused import, update error handler, rescope URL utils
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Support Gitee AI(LLM Provider)
* refactor(server): 重构 GiteeAI 模型窗口限制功能,暂时将窗口限制硬编码,计划使用外部 API 数据和缓存
* updates for Gitee AI
* use legacy lookup since gitee does not enable getting token context windows
* add more missing records
* reorder imports
---------
Co-authored-by: 方程 <fangcheng@oschina.cn>
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* prompt caching for anthropic llm and agent providers
* add UI for control of ENV
simplify implementation
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* feat: add AWS Bedrock API Key option to settings panel
* feat: Bedrock API key auth method
* fix: hide IAM note when using bedrock api key
* move to camcelCase identifier for bedrock api key use
linting
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Migrate gemini agents away from `Untooled`
* disable agents for gemma models as they are not supported for tool calling
* Dev build
resolve#4452 via function name prefix and then stripping within provider
* 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>
* add microsoft foundry local llm and agent providers
* minor change to fix early stop token + overloading of context window
always use user defined window _unless_ it is larger than the models real contenxt window
cache the context windows when we can from the API (0.7.*)+
Unload model forcefully on model change to prevent resource hogging
* add back token preference since some models have very large windows and can crash a machine
normalize cases
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* WIP agentic tool call streaming
- OpenAI
- Anthropic
- Azure OpenAI
* WIP rest of providers EXCLUDES Bedrock and GenericOpenAI
* patch untooled complete/streaming to use chatCallback provider from provider class and not assume OpenAI client struct
example: Ollama
* modify ollama to function with its own overrides
normalize completion/stream outputs across providers/untooled
* dev build
* fix message sanization for anthropic agent streaming
* wip fix anthropic agentic streaming sanitization
* patch gemini, webgenui, generic aibitat providers + disable providers unable to test
* refactor anthropic aibitat provider for empty message and tool call formatting
* Add frontend missing prop check
update Azure for streaming support
update Gemini to streamting support on gemini-* models
generic OpenAI disable streaming
verify localAI support
verify NVIDIA Nim support
* DPAIS, remove temp from call, support streaming'
* remove 0 temp to remove possibility of bad temp error/500s/400s
* Patch condition where model is non-streamable and no tools are present or called resulting in the provider `handleFunctionCallChat` being called - which returns a string.
This would then fail in Untooled.complete since response would be a string and not the expected `response.choices?.[0]?.message`
Modified this line to handle both conditions for stream/non-streaming and tool presence or lack thereof
* Allow generic Openai to be streamable since using untooled it should work fine
honor disabled streaming for provider where that concern may apply for regular chats
* rename function and more gemini-specific function to gemini provider
* add comments for readability
.complete on azure should be non-streaming as this is the sync response
* migrate CometAPI, but disable as we cannot test
---------
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* Add className property to various LLM and embedder classes to fix logging bug after minification
* Fix bug with this.log method by applying the missing private field symbol
* Add User-Agent header on the requests sent by Generic OpenAI providers.
* Moved getAnythingLLMUserAgent helper fn to server/endpoints/utils.js and changed fallback version string to "unknown"
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* feat: Implement CometAPI integration for chat completions and model management
- Added CometApiLLM class for handling chat completions using CometAPI.
- Implemented model synchronization and caching mechanisms.
- Introduced streaming support for chat responses with timeout handling.
- Created CometApiProvider class for agent interactions with CometAPI.
- Enhanced error handling and logging throughout the integration.
- Established a structure for managing function calls and completions.
* linting
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* feat: implement iam role auth for bedrock
* fix: make client refreshes properly when switching between iam_user and iam_role
* checkout agent flow
* fix aiprovider for bedrock in agent use
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* feat: add new model provider PPIO
* fix: fix ppio model fetching
* fix: code lint
* reorder LLM
update interface for streaming and chats to use valid keys
linting
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* feat: add new model provider: Novita AI
* feat: finished novita AI
* fix: code lint
* remove unneeded logging
* add back log for novita stream not self closing
* Clarify ENV vars for LLM/embedder seperation for future
Patch ENV check for workspace/agent provider
---------
Co-authored-by: Jason <ggbbddjm@gmail.com>
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* Fix incorrect json API description.
* small edits and validity checks
* remove console.logs
* unset and recheck changes
---------
Co-authored-by: Adam <phazei@gmail.com>
* Issue #1943: Add support for LLM provider - Fireworks AI
* Update UI selection boxes
Update base AI keys for future embedder support if needed
Add agent capabilites for FireworksAI
* class only return
---------
Co-authored-by: Aaron Van Doren <vandoren96+1@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
