* WIP: gemini-1.5 support
* feat: extended vertex ai support
* fix: handle possibly undefined modelName
* fix: gpt-4-turbo-preview invalid vision model
* feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type
* feat: better truncation for errors including base64 strings
* fix: gemini inlineData formatting
* feat: RAG augmented prompt for gemini-1.5
* feat: gemini-1.5 rates and token window
* chore: adjust tokens, update docs, update vision Models
* chore: add back `ChatGoogleVertexAI` for chat models via vertex ai
* refactor: ask/edit controllers to not use `unfinished` field for google endpoint
* chore: remove comment
* chore(ci): fix AppService test
* chore: remove comment
* refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable
* chore: bump data-provider to 0.5.4
* chore: update docs
* fix: condition for gemini-1.5 using generative ai lib
* chore: update docs
* ci: add additional AppService test for `imageOutputType`
* refactor: optimize new config value `imageOutputType`
* chore: bump CONFIG_VERSION
* fix(assistants): avatar upload
* docs: update URL to access ollama and comment on 'host.docker.internal'
* Update ai_endpoints.md
---------
Co-authored-by: Danny Avila <danacordially@gmail.com>
* WIP: basic route for file downloads and file strategy for generating readablestream to pipe as res
* chore(DALLE3): add typing for OpenAI client
* chore: add `CONSOLE_JSON` notes to dotenv.md
* WIP: first pass OpenAI Assistants File Output handling
* feat: first pass assistants output file download from openai
* chore: yml vs. yaml variation to .gitignore for `librechat.yml`
* refactor(retrieveAndProcessFile): remove redundancies
* fix(syncMessages): explicit sort of apiMessages to fix message order on abort
* chore: add logs for warnings and errors, show toast on frontend
* chore: add logger where console was still being used
* fix(initializeClient.spec.js): remove condition failing test on local installations
* docs: remove comments and invalid html as is required by embeddings generator and add new documentation guidelines
The default `.env` contains the line `ASSISTANTS_API_KEY=user_provided`. When pre-configuring Azure OpenAI models, this setting makes it impossible to use assistants due to a missing user provided key. Only by commenting the line out the Azure setup works.
* feat: add claude-3-haiku-20240307 to default anthropic list
* refactor: optimize `saveMessage` calls mid-stream via throttling
* chore: remove addMetadata operations and consolidate in BaseClient
* fix(listAssistantsForAzure): attempt to specify correct model mapping as accurately as possible (#2177)
* refactor(client): update last conversation setup with current assistant model, call newConvo again when assistants load to allow fast initial load and ensure assistant model is always the default, not the last selected model
* refactor(cache): explicitly add TTL of 2 minutes when setting titleCache and add default TTL of 10 minutes to abortKeys cache
* feat(AnthropicClient): conversation titling using Anthropic Function Calling
* chore: remove extraneous token usage logging
* fix(convos): unhandled edge case for conversation grouping (undefined conversation)
* style: Improved style of Search Bar after recent UI update
* chore: remove unused code, content part helpers
* feat: always show code option
* chore: rename dir from `assistant` to plural
* feat: `assistants` field for azure config, spread options in AppService
* refactor: rename constructAzureURL param for azure as `azureOptions`
* chore: bump openai and bun
* chore(loadDefaultModels): change naming of assistant -> assistants
* feat: load azure settings with currect baseURL for assistants' initializeClient
* refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig
* feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled
* feat(AppService): determine assistant models on startup, throw Error if none
* refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations
* feat: support listing and deleting assistants with azure
* feat: add model query to assistant avatar upload
* feat: add azure support for retrieveRun method
* refactor: update OpenAIClient initialization
* chore: update README
* fix(ci): tests passing
* refactor(uploadOpenAIFile): improve logging and use more efficient REST API method
* refactor(useFileHandling): add model to metadata to target Azure region compatible with current model
* chore(files): add azure naming pattern for valid file id recognition
* fix(assistants): initialize openai with first available assistant model if none provided
* refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options
* refactor(sleep): move sleep function out of Runs and into `~/server/utils`
* fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled
* refactor(uploadOpenAIFile): revert to old method
* chore(uploadOpenAIFile): use enum for file purpose
* docs: azureOpenAI update guide with more info, examples
* feat: enable/disable assistant capabilities and specify retrieval models
* refactor: optional chain conditional statement in loadConfigModels.js
* docs: add assistants examples
* chore: update librechat.example.yaml
* docs(azure): update note of file upload behavior in Azure OpenAI Assistants
* chore: update docs and add descriptive message about assistant errors
* fix: prevent message submission with invalid assistant or if files loading
* style: update Landing icon & text when assistant is not selected
* chore: bump librechat-data-provider to 0.4.8
* fix(assistants/azure): assign req.body.model for proper azure init to abort runs
* feat: add known endpoints
* docs: add known endpoints
* update ai_endpoints.md
remove the groq icon from the example
* Update ai_endpoints.md
---------
Co-authored-by: Danny Avila <messagedaniel@protonmail.com>
* fix(bun): fix bun compatibility to allow gzip header: https://github.com/oven-sh/bun/issues/267#issuecomment-1854460357
* chore: update custom config examples
* fix(OpenAIClient.chatCompletion): remove redundant call of stream.controller.abort() as `break` aborts the request and prevents abort errors when not called redundantly
* chore: bump bun.lockb
* fix: remove result-thinking class when message is no longer streaming
* fix(bun): improve Bun support by forcing use of old method in bun env, also update old methods with new customizable params
* fix(ci): pass tests
* feat(data-provider): add Azure serverless inference handling through librechat.yaml
* feat(azureOpenAI): serverless inference handling in api
* docs: update docs with new azureOpenAI endpoint config fields and serverless inference endpoint setup
* chore: remove unnecessary checks for apiKey as schema would not allow apiKey to be undefined
* ci(azureOpenAI): update tests for serverless configurations
* wip: first pass for azure endpoint schema
* refactor: azure config to return groupMap and modelConfigMap
* wip: naming and schema changes
* refactor(errorsToString): move to data-provider
* feat: rename to azureGroups, add additional tests, tests all expected outcomes, return errors
* feat(AppService): load Azure groups
* refactor(azure): use imported types, write `mapModelToAzureConfig`
* refactor: move `extractEnvVariable` to data-provider
* refactor(validateAzureGroups): throw on duplicate groups or models; feat(mapModelToAzureConfig): throw if env vars not present, add tests
* refactor(AppService): ensure each model is properly configured on startup
* refactor: deprecate azureOpenAI environment variables in favor of librechat.yaml config
* feat: use helper functions to handle and order enabled/default endpoints; initialize azureOpenAI from config file
* refactor: redefine types as well as load azureOpenAI models from config file
* chore(ci): fix test description naming
* feat(azureOpenAI): use validated model grouping for request authentication
* chore: bump data-provider following rebase
* chore: bump config file version noting significant changes
* feat: add title options and switch azure configs for titling and vision requests
* feat: enable azure plugins from config file
* fix(ci): pass tests
* chore(.env.example): mark `PLUGINS_USE_AZURE` as deprecated
* fix(fetchModels): early return if apiKey not passed
* chore: fix azure config typing
* refactor(mapModelToAzureConfig): return baseURL and headers as well as azureOptions
* feat(createLLM): use `azureOpenAIBasePath`
* feat(parsers): resolveHeaders
* refactor(extractBaseURL): handle invalid input
* feat(OpenAIClient): handle headers and baseURL for azureConfig
* fix(ci): pass `OpenAIClient` tests
* chore: extract env var for azureOpenAI group config, baseURL
* docs: azureOpenAI config setup docs
* feat: safe check of potential conflicting env vars that map to unique placeholders
* fix: reset apiKey when model switches from originally requested model (vision or title)
* chore: linting
* docs: CONFIG_PATH notes in custom_config.md
* refactor: add ViolationTypes enum and add new violation for illegal model requests
* feat: validateModel middleware to protect the backend against illicit requests for unlisted models
