* agents - phase 1 (#30)
* chore: copy assistant files
* feat: frontend and data-provider
* feat: backend get endpoint test
* fix(MessageEndpointIcon): switched to AgentName and AgentAvatar
* fix: small fixes
* fix: agent endpoint config
* fix: show Agent Builder
* chore: install agentus
* chore: initial scaffolding for agents
* fix: updated Assistant logic to Agent Logic for some Agent components
* WIP first pass, demo of agent package
* WIP: initial backend infra for agents
* fix: agent list error
* wip: agents routing
* chore: Refactor useSSE hook to handle different data events
* wip: correctly emit events
* chore: Update @librechat/agentus npm dependency to version 1.0.9
* remove comment
* first pass: streaming agent text
* chore: Remove @librechat/agentus root-level workspace npm dependency
* feat: Agent Schema and Model
* fix: content handling fixes
* fix: content message save
* WIP: new content data
* fix: run step issue with tool calls
* chore: Update @librechat/agentus npm dependency to version 1.1.5
* feat: update controller and agent routes
* wip: initial backend tool and tool error handling support
* wip: tool chunks
* chore: Update @librechat/agentus npm dependency to version 1.1.7
* chore: update tool_call typing, add test conditions and logs
* fix: create agent
* fix: create agent
* first pass: render completed content parts
* fix: remove logging, fix step handler typing
* chore: Update @librechat/agentus npm dependency to version 1.1.9
* refactor: cleanup maps on unmount
* chore: Update BaseClient.js to safely count tokens for string, number, and boolean values
* fix: support subsequent messages with tool_calls
* chore: export order
* fix: select agent
* fix: tool call types and handling
* chore: switch to anthropic for testing
* fix: AgentSelect
* refactor: experimental: OpenAIClient to use array for intermediateReply
* fix(useSSE): revert old condition for streaming legacy client tokens
* fix: lint
* revert `agent_id` to `id`
* chore: update localization keys for agent-related components
* feat: zod schema handling for actions
* refactor(actions): if no params, no zodSchema
* chore: Update @librechat/agentus npm dependency to version 1.2.1
* feat: first pass, actions
* refactor: empty schema for actions without params
* feat: Update createRun function to accept additional options
* fix: message payload formatting; feat: add more client options
* fix: ToolCall component rendering when action has no args but has output
* refactor(ToolCall): allow non-stringy args
* WIP: first pass, correctly formatted tool_calls between providers
* refactor: Remove duplicate import of 'roles' module
* refactor: Exclude 'vite.config.ts' from TypeScript compilation
* refactor: fix agent related types
> - no need to use endpoint/model fields for identifying agent metadata
> - add `provider` distinction for agent-configured 'endpoint'
- no need for agent-endpoint map
- reduce complexity of tools as functions into tools as string[]
- fix types related to above changes
- reduce unnecessary variables for queries/mutations and corresponding react-query keys
* refactor: Add tools and tool_kwargs fields to agent schema
* refactor: Remove unused code and update dependencies
* refactor: Update updateAgentHandler to use req.body directly
* refactor: Update AgentSelect component to use localized hooks
* refactor: Update agent schema to include tools and provider fields
* refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values
* refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent
* refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues
* refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only)
* refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string.
* refactor: TypeError issues and handle provider as option
* feat: Add placeholder for provider selection in AgentPanel component
* refactor: Update agent schema to include author and provider fields
* fix: show expected 'create agent' placeholder when creating agent
* chore: fix localization strings, hide capabilities form for now
* chore: typing
* refactor: import order and use compact agents schema for now
* chore: typing
* refactor: Update AgentForm type to use AgentCapabilities
* fix agent form agent selection issues
* feat: responsive agent selection
* fix: Handle cancelled fetch in useSelectAgent hook
* fix: reset agent form on accordion close/open
* feat: Add agent_id to default conversation for agents endpoint
* feat: agents endpoint request handling
* refactor: reset conversation model on agent select
* refactor: add `additional_instructions` to conversation schema, organize other fields
* chore: casing
* chore: types
* refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id
* WIP: initial draft of real agent client initialization
* WIP: first pass, anthropic agent requests
* feat: remember last selected agent
* feat: openai and azure connected
* fix: prioritize agent model for runs unless an explicit override model is passed from client
* feat: Agent Actions
* fix: save agent id to convo
* feat: model panel (#29)
* feat: model panel
* bring back comments
* fix: method still null
* fix: AgentPanel FormContext
* feat: add more parameters
* fix: style issues; refactor: Agent Controller
* fix: cherry-pick
* fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit
* feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters`
* feat: icon and general `model_parameters` update
* feat: use react-hook-form better
* fix: agent builder form reset issue when switching panels
* refactor: modularize agent builder form
---------
Co-authored-by: Danny Avila <danny@librechat.ai>
* fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`.
* fix: tool call issues due to invalid input (anthropic) of empty string
* fix: handle empty text in Part component
---------
Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
* refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig
* fix: Model Parameters not saved correctly
* refactor: remove console log
* feat: avatar upload and get for Agents (#36)
Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
* chore: update to public package
* fix: typing, optional chaining
* fix: cursor not showing for content parts
* chore: conditionally enable agents
* ci: fix azure test
* ci: fix frontend tests, fix eslint api
* refactor: Remove unused errorContentPart variable
* continue of the agent message PR (#40)
* last fixes
* fix: agentMap
* pr merge test (#41)
* fix: model icon not fetching correctly
* remove console logs
* feat: agent name
* refactor: pass documentsMap as a prop to allow re-render of assistant form
* refactor: pass documentsMap as a prop to allow re-render of assistant form
* chore: Bump version to 0.7.419
* fix: TypeError: Cannot read properties of undefined (reading 'id')
* refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox
---------
Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
* 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
* chore: bump browserslist-db@latest
* refactor(EndpointService): simplify with `generateConfig`, utilize optional baseURL for OpenAI-based endpoints, use `isUserProvided` helper fn wherever needed
* refactor(custom/initializeClient): use standardized naming for common variables
* feat: user provided baseURL for openAI-based endpoints
* refactor(custom/initializeClient): re-order operations
* fix: knownendpoints enum definition and add FetchTokenConfig, bump data-provider
* refactor(custom): use tokenKey dependent on userProvided conditions for caching and fetching endpointTokenConfig, anticipate token rates from custom config
* refactor(custom): assure endpointTokenConfig is only accessed from cache if qualifies for fetching
* fix(ci): update tests for initializeClient based on userProvideURL changes
* fix(EndpointService): correct baseURL env var for assistants: `ASSISTANTS_BASE_URL`
* fix: unnecessary run cancellation on res.close() when response.run is completed
* feat(assistants): user provided URL option
* ci: update tests and add test for `assistants` endpoint
* chore: leaner condition for request closing
* chore: more descriptive error message to provide keys again
* 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(useUpdateUserKeysMutation): only invalidate the endpoint whose key is being updated by user
* fix(assistants): await `getUserKeyExpiry` call
* chore: fix spinner loading color
* refactor(initializeClient): make known which endpoint api Key is missing
* fix: prevent an `endpointType` mismatch by making it impossible to assign when the `endpointsConfig` doesn't have a `type` defined, also prefer `getQueryData` call to useQuery in useChatHelpers
* refactor(extractBaseURL): add handling for all possible Cloudflare AI Gateway endpoints
* chore: added endpointoption todo for updating type and optimizing handling app-wide
* feat(azureUtils):
- `genAzureChatCompletion`: allow optional client pass to update azure property
- `constructAzureURL`: optionally replace placeholders for instance and deployment names of an azure baseURL
- add tests for module
* refactor(extractBaseURL): return entire input when cloudflare `azure-openai` suffix detected
- also add more tests for both construct and extract URL
* refactor(genAzureChatCompletion): only allow omitting instance name if baseURL is not set
* refactor(initializeClient): determine `reverseProxyUrl` based on endpoint (azure or openai)
* refactor: utitlize `constructAzureURL` when `AZURE_OPENAI_BASEURL` is set
* docs: update docs on `AZURE_OPENAI_BASEURL`
* fix(ci): update expected error message for `azureUtils` tests
* feat: update PaLM icons
* feat: add additional google models
* POC: formatting inputs for Vertex AI streaming
* refactor: move endpoints services outside of /routes dir to /services/Endpoints
* refactor: shorten schemas import
* refactor: rename PALM to GOOGLE
* feat: make Google editable endpoint
* feat: reusable Ask and Edit controllers based off Anthropic
* chore: organize imports/logic
* fix(parseConvo): include examples in googleSchema
* fix: google only allows odd number of messages to be sent
* fix: pass proxy to AnthropicClient
* refactor: change `google` altName to `Google`
* refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values
* refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases)
* feat: google support for maxTokensMap
* feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient
* feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain
* chore(GoogleClient): remove comments, left before for reference in git history
* docs: update google instructions (WIP)
* docs(apis_and_tokens.md): add images to google instructions
* docs: remove typo apis_and_tokens.md
* Update apis_and_tokens.md
* feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models
* chore: update more PaLM references to Google
* chore: move playwright out of workflows to avoid failing tests
2023-12-10 14:54:13 -05:00
Renamed from api/server/routes/endpoints/openAI/initializeClient.js (Browse further)
