* feat(agents): Add Perplexity Search API as web search provider
Adds Perplexity as a search provider for the agent web-browsing plugin,
using the Perplexity Search API (POST /search) which returns raw ranked
web results — distinct from the existing Perplexity LLM integration.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: replace docs.perplexity.ai with console.perplexity.ai
* chore: replace docs.perplexity.ai with console.perplexity.ai
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Co-authored-by: kesku <kesku@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* fix: Migrate AzureOpenAI model key from OPEN_MODEL_PREF to prevent the naming collision. No effort necessary from current users.
* test: add backwards compat tests for AzureOpenAI model key migration
* patch missing env example file
* linting
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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
* 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
* test base image bump
* patch frontend compilation due to Vite QEMU exception
* migrate all runners to arm64 to avoid QEMU slowdown
* add back layer cleanup
* remove layer cache fix
* 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
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Co-authored-by: 方程 <fangcheng@oschina.cn>
Co-authored-by: timothycarambat <rambat1010@gmail.com>
* implemented openrouter embedding model support
* ran yarn lint
* data handling entry
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* prompt caching for anthropic llm and agent providers
* add UI for control of ENV
simplify implementation
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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
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* add option to disable swagger docs via env
* update .example.env for docker and server
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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
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Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Add ENV to configure api request delay for generic open ai embedding engine
* yarn lint formatting
* refactor
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Co-authored-by: timothycarambat <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
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* add chroma cloud as new vector db provider
* update docker example env
* extend chroma class to chroma cloud
* update readme
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* Added exa-search case to the search provider switch in web-browsing.js
* Added ExaSearchOptions component for API key input
* update
* Patch missing image crashing UI
Fix issue where ENV key did not exist or was saved on click
Update copy for provider
Add Docs for ENV keys for manual placements
update systemssettings for returning key saved to UI
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* WIP on embedder selection
TODO: apply splitting and query prefixes (if applicable)
* wip on upsert
* Support base model
support nomic-text-embed-v1
support multilingual-e5-small
Add prefixing for both embedding and query for RAG tasks
Add chunking prefix to all vector dbs to apply prefix when possible
Show dropdown and auto-pull on new selection
* norm translations
* move supported models to constants
handle null seelction or invalid selection on dropdown
update comments
* dev
* patch text splitter maximums for now
* normalize translations
* add tests for splitter functionality
* normalize
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Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* Add context window finder from litellm maintained list
apply to all cloud providers, have client cache for 3 days
* docker container bootup warning
* update invalid ENV warning
* rebased with current HEAD
* update newline printing
* PGVector support for vector db storage
* forgot files
* comments
* dev build
* Add ENV connection and table schema validations for vector table
add .reset call to drop embedding table when changing the AnythingLLM embedder
update instrutions
Add preCheck error reporting in UpdateENV
add timeout to pg connection
* update setup
* update README
* update doc
* 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
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Co-authored-by: Tristan Stahnke <tristan.stahnke+gpsec@guidepointsecurity.com>
Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Enable bypass of ip limitations via ENV in collector startup
resolves#3625
connect #3626
* dev build
* bump dockerx build action
* enable runtime setting config of collector requests
* comments and linting for option passing
* unset
* unset
* update docs link
* linting and docs
* WIP MCP full compatibility layer
* implement MCP agent function wrapping and invocation methods
* Add `uvx` to docker bin for MCP executions
* dev build
* prune removed data
* Wrap MCP servers to lazy load items to not block the UI
Mobile bug fixes
* arm64 test build
* reset dev builder
* remove unused prop
