* 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
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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
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Co-authored-by: DreamerC <dreamerwolf.tw@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>
* add claude 3-7 sonnet
* made all the changes everywhere
* add 3-7-sonnet-latest model
* lint
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Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
