* wip remove all docs clear vector db on embedder/vector db change
* purge all cached docs and remove docs from workspaces on vectordb/embedder change
* lint
* remove unneeded console log
* remove reset vector stores endpoint and move to server side updateENV with postUpdate check
* reset embed module
* remove unused import
* simplify deletion process
rescoped document deletion to be more general for speed, everything needs to be reset anyway
fixed issue where unembedded docs not in any workspaces, but cached, were not removed
* add back missing readme file
update warning text modals
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* wip hub connection page fe + backend
* lint
* implement backend for local hub items + placeholder endpoints to fetch hub app data
* fix hebrew translations
* revamp community integration flow
* change sidebar
* Auto import if id in URL param
remove preview in card screen and instead go to import flow
* get user's items + team items from hub + ui improvements to hub settings
* lint
* fix merge conflict
* refresh hook for community items
* add fallback for user items
* Disable bundle items by default on all instances
* remove translations (will complete later)
* loading skeleton
* Make community hub endpoints admin only
show visibility on items
combine import/apply for items to they are event logged for review
* improve middleware and import flow
* community hub ui updates
* Adjust importing process
* community hub to dev
* Add webscraper preload into imported plugins
* add runtime property to plugins
* Fix button status on imported skill change
show alert on skill change
Update markdown type and theme on import of agent skill
* update documentaion paths
* remove unused import
* linting
* review loading state
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Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* exposes `maxConcurrentChunks` parameter for the generic openai embedder through configuration. This allows setting a batch size for endpoints which don't support the default of 500
* Update new field to new UI
make getting to ensure proper type and format
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* togetherai llama 3.2 vision models support
* remove console log
* fix listing to reflect what is on the chart
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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
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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
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Co-authored-by: Adam <phazei@gmail.com>
Adds support for only the llama3.2 vision models on groq. This comes with many conditionals and nuances to handle as Groqs vision implemention is quite bad right now
* Update OpenAI TTS config to allow a custom BaseURL
* uncheck config file
* break openai generic TTS into its own provider
* add space
* hide TTS on user msg
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Co-authored-by: Adam <phazei@gmail.com>
* support generic openai workspace model
* Update UI for free form input for some providers
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Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
* Refactor handleDefaultStreamResponseV2 function for better error handling
* run yarn lint
* small error handling changes
* update error handling flow and scope of vars
* add back space
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Co-authored-by: Roman <rrojaski@gmail.com>
* refactor agent to add fallback to workspace, then to chat provider/model
* commenting
update logic for bedrock and fireworks fallbacks
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Co-authored-by: timothycarambat <rambat1010@gmail.com>
* #2317 Fetch pinned documents once per folder to reduce the number of queries.
* Reorder the lines to keeps const declarations together.
* Add some comments to functions
move pinned document fetch for folder to function
move watched documents per-folder to also function the same
remove unused function in documents model
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Co-authored-by: Błażej Owczarczyk <blazeyy@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
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Co-authored-by: Aaron Van Doren <vandoren96+1@gmail.com>
* patch no text results for milvus chunks
* wrap addDocumentToNamespace in try catch for handling milvus errors
* lint
* revert milvus db changes
* add try catch to handle grpc error from milvus
* ollama: Switch from parallel to sequential chunk embedding
* throw error on empty embeddings
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Co-authored-by: John Blomberg <john.jb.blomberg@gmail.com>
* initial commit for chrome extension
* wip browser extension backend
* wip frontend browser extension settings
* fix typo for browserExtension route
* implement verification codes + frontend panel for browser extension keys
* reorganize + state management for all connection states
* implement embed to workspace
* add send page to anythingllm extension option + refactor
* refactor connection string auth + update context menus + organize background.js into models
* popup extension from main app and save if successful
* fix hebrew translation misspelling
* fetch custom logo inside chrome extension
* delete api keys on disconnect of extension
* use correct apiUrl constant in frontend + remove unneeded comments
* remove upload-link endpoint and send inner text html to raw text collector endpoint
* update readme
* fix readme link
* fix readme typo
* update readme
* handle deletion of browser keys with key id and DELETE endpoint
* move event string to constant
* remove tablename and writable fields from BrowserExtensionApiKey backend model
* add border-none to all buttons and inputs for desktop compatibility
* patch prisma injections
* update delete endpoints to delete keys by id
* remove unused prop
* add button to attempt browser extension connection + remove max active keys
* wip multi user mode support
* multi user mode support
* clean up backend + show created by in frotend browser extension page
* show multi user warning message on key creation + hide context menus when no workspaces
* show browser extension options to managers
* small backend changes and refactors
* extension cleanup
* rename submodule
* extension updates & docs
* dev docker build
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Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
* Refactor api endpoint chat handler to its own function
remove legacy `chatWithWorkspace` and cleanup `index.js`
* Add `sessionId` in dev API to partition chats logically statelessly
* 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
* Revert "Patch ODBC support from missing binary/headers for node-odbc"
This reverts commit 9de6b1cc26.
* Revert "OBDC Support (#1933)"
This reverts commit cd597a361e.
