* Extract Model Table to component
Add provider icons to header rows and installed models
Light mode supported
Mapping for model name id hints to provider
Update DMR to filter chat models by ability since not available via hub API
* linting + dev
* fix incorrect import
* Improve DMR support
- Autodetect models installed
- Grab all models from hub.docker to show available
- UI to handle render,search, install, and management of models
- Support functionality for chat, stream, and agentic calls
* forgot files
* fix loader circle being too large
fix tooltip width command
adjust location of docker installer open for web platform
* adjust imports
* 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
* 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>
* fix: Use eval_duration for output TPS calculations and add as a metric field
* refactor usage of eval_duration from ollama metrics
* move eval_duration to usage
* overwrite duration in ollama provider wip measureAsyncFunction optional param
* allow for overloaded duration in measureAsyncFunction
* simplify flow for duration tracking
---------
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Reimplement Cohere models
- Redo LLM implementation to grab models from endpoint and pre-filter
- Migrate embedding models to also grab from remote
- Add records for easy context window lookup'
* fix comment
* 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>
* 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
* migrate openai llm provider to use responses api
* add back image support
* dont recalc tokens from OpenAI since we get metrics back
---------
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* 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>
* fix multimodal chats via openai compat api
* lint
* add tests for multi-modal content in openai compat endpoint
* refactor to normalize how openai attachments are handled
* uncheck file
* rewrite tests, autodetect mime from dataurl, and spread attachments from prompt
* lint
* revert and fix tests
---------
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>
* Fixed two primary issues discovered while using AWS Bedrock with Anthropic Claude Sonnet models:
- Context Window defaults to 8192 maximum, which isn't correct
- Multimodal stopped working when removing langchain, which was transparently handling image_url to a format sonnet expects.
* Ran `yarn lint`
* Updated .env.example to have aws bedrock examples too
* Refactor for readability
move utils for AWS specific functionality to subfile
add token output max to ENV so setting persits
---------
Co-authored-by: Tristan Stahnke <tristan.stahnke+gpsec@guidepointsecurity.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Update Azure AI options and model map with new model configurations
* linting
---------
Co-authored-by: Shinya Suzuki <shinya.s.825@gmail.com>
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* handling of citations in openRouter provider #3581
* Update pplx enrichToken function comment
Modify OR enrichToken to be generic handler function with optional params
handle _just_ Perplexity in-line citations since no other models support this functionality
* remove console log
---------
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Update defaultModels.js
add gemma-3-27b-it to v1BetaModels
* Update defaultModels.js
20250330 model update
* Update defaultModels.js
remove text embedding
* Update name and inputTokenLimit modelMap.js
* Update gemini to load models from both endpoints
dedupe models
decide endpoint based on expieremental status from fetch
add util script for maintainers
reduce cache time on gemini models to 1 day
* remove comment
---------
Co-authored-by: DreamerC <dreamerwolf.tw@gmail.com>
