🚧 chore: merge latest dev build to main repo (#3844)
* 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>
2024-08-31 16:33:51 -04:00
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import {
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parseConvo,
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EModelEndpoint,
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isAssistantsEndpoint,
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isAgentsEndpoint,
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} from 'librechat-data-provider';
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🤖 feat: Model Specs & Save Tools per Convo/Preset (#2578)
* WIP: first pass ModelSpecs
* refactor(onSelectEndpoint): use `getConvoSwitchLogic`
* feat: introduce iconURL, greeting, frontend fields for conversations/presets/messages
* feat: conversation.iconURL & greeting in Landing
* feat: conversation.iconURL & greeting in New Chat button
* feat: message.iconURL
* refactor: ConversationIcon -> ConvoIconURL
* WIP: add spec as a conversation field
* refactor: useAppStartup, set spec on initial load for new chat, allow undefined spec, add localStorage keys enum, additional type fields for spec
* feat: handle `showIconInMenu`, `showIconInHeader`, undefined `iconURL` and no specs on initial load
* chore: handle undefined or empty modelSpecs
* WIP: first pass, modelSpec schema for custom config
* refactor: move default filtered tools definition to ToolService
* feat: pass modelSpecs from backend via startupConfig
* refactor: modelSpecs config, return and define list
* fix: react error and include iconURL in responseMessage
* refactor: add iconURL to responseMessage only
* refactor: getIconEndpoint
* refactor: pass TSpecsConfig
* fix(assistants): differentiate compactAssistantSchema, correctly resets shared conversation state with other endpoints
* refactor: assistant id prefix localStorage key
* refactor: add more LocalStorageKeys and replace hardcoded values
* feat: prioritize spec on new chat behavior: last selected modelSpec behavior (localStorage)
* feat: first pass, interface config
* chore: WIP, todo: add warnings based on config.modelSpecs settings.
* feat: enforce modelSpecs if configured
* feat: show config file yaml errors
* chore: delete unused legacy Plugins component
* refactor: set tools to localStorage from recoil store
* chore: add stable recoil setter to useEffect deps
* refactor: save tools to conversation documents
* style(MultiSelectPop): dynamic height, remove unused import
* refactor(react-query): use localstorage keys and pass config to useAvailablePluginsQuery
* feat(utils): add mapPlugins
* refactor(Convo): use conversation.tools if defined, lastSelectedTools if not
* refactor: remove unused legacy code using `useSetOptions`, remove conditional flag `isMultiChat` for using legacy settings
* refactor(PluginStoreDialog): add exhaustive-deps which are stable react state setters
* fix(HeaderOptions): pass `popover` as true
* refactor(useSetStorage): use project enums
* refactor: use LocalStorageKeys enum
* fix: prevent setConversation from setting falsy values in lastSelectedTools
* refactor: use map for availableTools state and available Plugins query
* refactor(updateLastSelectedModel): organize logic better and add note on purpose
* fix(setAgentOption): prevent reseting last model to secondary model for gptPlugins
* refactor(buildDefaultConvo): use enum
* refactor: remove `useSetStorage` and consolidate areas where conversation state is saved to localStorage
* fix: conversations retain tools on refresh
* fix(gptPlugins): prevent nullish tools from being saved
* chore: delete useServerStream
* refactor: move initial plugins logic to useAppStartup
* refactor(MultiSelectDropDown): add more pass-in className props
* feat: use tools in presets
* chore: delete unused usePresetOptions
* refactor: new agentOptions default handling
* chore: note
* feat: add label and custom instructions to agents
* chore: remove 'disabled with tools' message
* style: move plugins to 2nd column in parameters
* fix: TPreset type for agentOptions
* fix: interface controls
* refactor: add interfaceConfig, use Separator within Switcher
* refactor: hide Assistants panel if interface.parameters are disabled
* fix(Header): only modelSpecs if list is greater than 0
* refactor: separate MessageIcon logic from useMessageHelpers for better react rule-following
* fix(AppService): don't use reserved keyword 'interface'
* feat: set existing Icon for custom endpoints through iconURL
* fix(ci): tests passing for App Service
* docs: refactor custom_config.md for readability and better organization, also include missing values
* docs: interface section and re-organize docs
* docs: update modelSpecs info
* chore: remove unused files
* chore: remove unused files
* chore: move useSetIndexOptions
* chore: remove unused file
* chore: move useConversation(s)
* chore: move useDefaultConvo
* chore: move useNavigateToConvo
* refactor: use plugin install hook so it can be used elsewhere
* chore: import order
* update docs
* refactor(OpenAI/Plugins): allow modelLabel as an initial value for chatGptLabel
* chore: remove unused EndpointOptionsPopover and hide 'Save as Preset' button if preset UI visibility disabled
* feat(loadDefaultInterface): issue warnings based on values
* feat: changelog for custom config file
* docs: add additional changelog note
* fix: prevent unavailable tool selection from preset and update availableTools on Plugin installations
* feat: add `filteredTools` option in custom config
* chore: changelog
* fix(MessageIcon): always overwrite conversation.iconURL in messageSettings
* fix(ModelSpecsMenu): icon edge cases
* fix(NewChat): dynamic icon
* fix(PluginsClient): always include endpoint in responseMessage
* fix: always include endpoint and iconURL in responseMessage across different response methods
* feat: interchangeable keys for modelSpec enforcing
2024-04-30 22:11:48 -04:00
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import type { TConversation } from 'librechat-data-provider';
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2023-09-18 12:55:51 -04:00
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import getLocalStorageItems from './getLocalStorageItems';
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const buildDefaultConvo = ({
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conversation,
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endpoint,
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models,
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lastConversationSetup,
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}: {
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conversation: TConversation;
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endpoint: EModelEndpoint;
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models: string[];
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2024-01-04 10:17:15 -05:00
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// TODO: fix this type as we should allow undefined
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2023-09-18 12:55:51 -04:00
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lastConversationSetup: TConversation;
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}) => {
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const { lastSelectedModel, lastSelectedTools, lastBingSettings } = getLocalStorageItems();
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const { jailbreak, toneStyle } = lastBingSettings;
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2024-01-03 19:17:42 -05:00
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const endpointType = lastConversationSetup?.endpointType ?? conversation?.endpointType;
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2023-09-18 12:55:51 -04:00
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if (!endpoint) {
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return {
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...conversation,
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💫 feat: Config File & Custom Endpoints (#1474)
* WIP(backend/api): custom endpoint
* WIP(frontend/client): custom endpoint
* chore: adjust typedefs for configs
* refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility
* feat: loadYaml utility
* refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults
* refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config
* refactor(EndpointController): rename variables for clarity
* feat: initial load custom config
* feat(server/utils): add simple `isUserProvided` helper
* chore(types): update TConfig type
* refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models
* feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels
* chore: reorganize server init imports, invoke loadCustomConfig
* refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint
* refactor(Endpoint/ModelController): spread config values after default (temporary)
* chore(client): fix type issues
* WIP: first pass for multiple custom endpoints
- add endpointType to Conversation schema
- add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion)
- use `endpointType` value as `endpoint` where mapping to type is necessary using this field
- use custom defined `endpoint` value and not type for mapping to modelsConfig
- misc: add return type to `getDefaultEndpoint`
- in `useNewConvo`, add the endpointType if it wasn't already added to conversation
- EndpointsMenu: use user-defined endpoint name as Title in menu
- TODO: custom icon via custom config, change unknown to robot icon
* refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code
* chore: remove unused availableModels field in TConfig type
* refactor(parseCompactConvo): pass args as an object and change where used accordingly
* feat: chat through custom endpoint
* chore(message/convoSchemas): avoid saving empty arrays
* fix(BaseClient/saveMessageToDatabase): save endpointType
* refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve
* fix(useConversation): assign endpointType if it's missing
* fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset)
* chore: recorganize types order for TConfig, add `iconURL`
* feat: custom endpoint icon support:
- use UnknownIcon in all icon contexts
- add mistral and openrouter as known endpoints, and add their icons
- iconURL support
* fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults
* refactor(Settings/OpenAI): remove legacy `isOpenAI` flag
* fix(OpenAIClient): do not invoke abortCompletion on completion error
* feat: add responseSender/label support for custom endpoints:
- use defaultModelLabel field in endpointOption
- add model defaults for custom endpoints in `getResponseSender`
- add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel`
- include defaultModelLabel from endpointConfig in custom endpoint client options
- pass `endpointType` to `getResponseSender`
* feat(OpenAIClient): use custom options from config file
* refactor: rename `defaultModelLabel` to `modelDisplayLabel`
* refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere
* feat: `iconURL` and extract environment variables from custom endpoint config values
* feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml`
* docs: custom config docs and examples
* fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions
* fix(custom/initializeClient): extract env var and use `isUserProvided` function
* Update librechat.example.yaml
* feat(InputWithLabel): add className props, and forwardRef
* fix(streamResponse): handle error edge case where either messages or convos query throws an error
* fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error
* feat: user_provided keys for custom endpoints
* fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name`
* feat(loadConfigModels): extract env variables and optimize fetching models
* feat: support custom endpoint iconURL for messages and Nav
* feat(OpenAIClient): add/dropParams support
* docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY`
* docs: update docs with additional notes
* feat(maxTokensMap): add mistral models (32k context)
* docs: update openrouter notes
* Update ai_setup.md
* docs(custom_config): add table of contents and fix note about custom name
* docs(custom_config): reorder ToC
* Update custom_config.md
* Add note about `max_tokens` field in custom_config.md
2024-01-03 09:22:48 -05:00
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endpointType,
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2023-09-18 12:55:51 -04:00
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endpoint,
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};
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}
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const availableModels = models;
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const model = lastConversationSetup?.model ?? lastSelectedModel?.[endpoint];
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const secondaryModel =
|
🤖 feat: Model Specs & Save Tools per Convo/Preset (#2578)
* WIP: first pass ModelSpecs
* refactor(onSelectEndpoint): use `getConvoSwitchLogic`
* feat: introduce iconURL, greeting, frontend fields for conversations/presets/messages
* feat: conversation.iconURL & greeting in Landing
* feat: conversation.iconURL & greeting in New Chat button
* feat: message.iconURL
* refactor: ConversationIcon -> ConvoIconURL
* WIP: add spec as a conversation field
* refactor: useAppStartup, set spec on initial load for new chat, allow undefined spec, add localStorage keys enum, additional type fields for spec
* feat: handle `showIconInMenu`, `showIconInHeader`, undefined `iconURL` and no specs on initial load
* chore: handle undefined or empty modelSpecs
* WIP: first pass, modelSpec schema for custom config
* refactor: move default filtered tools definition to ToolService
* feat: pass modelSpecs from backend via startupConfig
* refactor: modelSpecs config, return and define list
* fix: react error and include iconURL in responseMessage
* refactor: add iconURL to responseMessage only
* refactor: getIconEndpoint
* refactor: pass TSpecsConfig
* fix(assistants): differentiate compactAssistantSchema, correctly resets shared conversation state with other endpoints
* refactor: assistant id prefix localStorage key
* refactor: add more LocalStorageKeys and replace hardcoded values
* feat: prioritize spec on new chat behavior: last selected modelSpec behavior (localStorage)
* feat: first pass, interface config
* chore: WIP, todo: add warnings based on config.modelSpecs settings.
* feat: enforce modelSpecs if configured
* feat: show config file yaml errors
* chore: delete unused legacy Plugins component
* refactor: set tools to localStorage from recoil store
* chore: add stable recoil setter to useEffect deps
* refactor: save tools to conversation documents
* style(MultiSelectPop): dynamic height, remove unused import
* refactor(react-query): use localstorage keys and pass config to useAvailablePluginsQuery
* feat(utils): add mapPlugins
* refactor(Convo): use conversation.tools if defined, lastSelectedTools if not
* refactor: remove unused legacy code using `useSetOptions`, remove conditional flag `isMultiChat` for using legacy settings
* refactor(PluginStoreDialog): add exhaustive-deps which are stable react state setters
* fix(HeaderOptions): pass `popover` as true
* refactor(useSetStorage): use project enums
* refactor: use LocalStorageKeys enum
* fix: prevent setConversation from setting falsy values in lastSelectedTools
* refactor: use map for availableTools state and available Plugins query
* refactor(updateLastSelectedModel): organize logic better and add note on purpose
* fix(setAgentOption): prevent reseting last model to secondary model for gptPlugins
* refactor(buildDefaultConvo): use enum
* refactor: remove `useSetStorage` and consolidate areas where conversation state is saved to localStorage
* fix: conversations retain tools on refresh
* fix(gptPlugins): prevent nullish tools from being saved
* chore: delete useServerStream
* refactor: move initial plugins logic to useAppStartup
* refactor(MultiSelectDropDown): add more pass-in className props
* feat: use tools in presets
* chore: delete unused usePresetOptions
* refactor: new agentOptions default handling
* chore: note
* feat: add label and custom instructions to agents
* chore: remove 'disabled with tools' message
* style: move plugins to 2nd column in parameters
* fix: TPreset type for agentOptions
* fix: interface controls
* refactor: add interfaceConfig, use Separator within Switcher
* refactor: hide Assistants panel if interface.parameters are disabled
* fix(Header): only modelSpecs if list is greater than 0
* refactor: separate MessageIcon logic from useMessageHelpers for better react rule-following
* fix(AppService): don't use reserved keyword 'interface'
* feat: set existing Icon for custom endpoints through iconURL
* fix(ci): tests passing for App Service
* docs: refactor custom_config.md for readability and better organization, also include missing values
* docs: interface section and re-organize docs
* docs: update modelSpecs info
* chore: remove unused files
* chore: remove unused files
* chore: move useSetIndexOptions
* chore: remove unused file
* chore: move useConversation(s)
* chore: move useDefaultConvo
* chore: move useNavigateToConvo
* refactor: use plugin install hook so it can be used elsewhere
* chore: import order
* update docs
* refactor(OpenAI/Plugins): allow modelLabel as an initial value for chatGptLabel
* chore: remove unused EndpointOptionsPopover and hide 'Save as Preset' button if preset UI visibility disabled
* feat(loadDefaultInterface): issue warnings based on values
* feat: changelog for custom config file
* docs: add additional changelog note
* fix: prevent unavailable tool selection from preset and update availableTools on Plugin installations
* feat: add `filteredTools` option in custom config
* chore: changelog
* fix(MessageIcon): always overwrite conversation.iconURL in messageSettings
* fix(ModelSpecsMenu): icon edge cases
* fix(NewChat): dynamic icon
* fix(PluginsClient): always include endpoint in responseMessage
* fix: always include endpoint and iconURL in responseMessage across different response methods
* feat: interchangeable keys for modelSpec enforcing
2024-04-30 22:11:48 -04:00
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endpoint === EModelEndpoint.gptPlugins
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2023-09-18 12:55:51 -04:00
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? lastConversationSetup?.agentOptions?.model ?? lastSelectedModel?.secondaryModel
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: null;
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let possibleModels: string[], secondaryModels: string[];
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if (availableModels.includes(model)) {
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possibleModels = [model, ...availableModels];
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} else {
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possibleModels = [...availableModels];
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}
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if (secondaryModel && availableModels.includes(secondaryModel)) {
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secondaryModels = [secondaryModel, ...availableModels];
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} else {
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secondaryModels = [...availableModels];
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}
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|
💫 feat: Config File & Custom Endpoints (#1474)
* WIP(backend/api): custom endpoint
* WIP(frontend/client): custom endpoint
* chore: adjust typedefs for configs
* refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility
* feat: loadYaml utility
* refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults
* refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config
* refactor(EndpointController): rename variables for clarity
* feat: initial load custom config
* feat(server/utils): add simple `isUserProvided` helper
* chore(types): update TConfig type
* refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models
* feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels
* chore: reorganize server init imports, invoke loadCustomConfig
* refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint
* refactor(Endpoint/ModelController): spread config values after default (temporary)
* chore(client): fix type issues
* WIP: first pass for multiple custom endpoints
- add endpointType to Conversation schema
- add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion)
- use `endpointType` value as `endpoint` where mapping to type is necessary using this field
- use custom defined `endpoint` value and not type for mapping to modelsConfig
- misc: add return type to `getDefaultEndpoint`
- in `useNewConvo`, add the endpointType if it wasn't already added to conversation
- EndpointsMenu: use user-defined endpoint name as Title in menu
- TODO: custom icon via custom config, change unknown to robot icon
* refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code
* chore: remove unused availableModels field in TConfig type
* refactor(parseCompactConvo): pass args as an object and change where used accordingly
* feat: chat through custom endpoint
* chore(message/convoSchemas): avoid saving empty arrays
* fix(BaseClient/saveMessageToDatabase): save endpointType
* refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve
* fix(useConversation): assign endpointType if it's missing
* fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset)
* chore: recorganize types order for TConfig, add `iconURL`
* feat: custom endpoint icon support:
- use UnknownIcon in all icon contexts
- add mistral and openrouter as known endpoints, and add their icons
- iconURL support
* fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults
* refactor(Settings/OpenAI): remove legacy `isOpenAI` flag
* fix(OpenAIClient): do not invoke abortCompletion on completion error
* feat: add responseSender/label support for custom endpoints:
- use defaultModelLabel field in endpointOption
- add model defaults for custom endpoints in `getResponseSender`
- add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel`
- include defaultModelLabel from endpointConfig in custom endpoint client options
- pass `endpointType` to `getResponseSender`
* feat(OpenAIClient): use custom options from config file
* refactor: rename `defaultModelLabel` to `modelDisplayLabel`
* refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere
* feat: `iconURL` and extract environment variables from custom endpoint config values
* feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml`
* docs: custom config docs and examples
* fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions
* fix(custom/initializeClient): extract env var and use `isUserProvided` function
* Update librechat.example.yaml
* feat(InputWithLabel): add className props, and forwardRef
* fix(streamResponse): handle error edge case where either messages or convos query throws an error
* fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error
* feat: user_provided keys for custom endpoints
* fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name`
* feat(loadConfigModels): extract env variables and optimize fetching models
* feat: support custom endpoint iconURL for messages and Nav
* feat(OpenAIClient): add/dropParams support
* docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY`
* docs: update docs with additional notes
* feat(maxTokensMap): add mistral models (32k context)
* docs: update openrouter notes
* Update ai_setup.md
* docs(custom_config): add table of contents and fix note about custom name
* docs(custom_config): reorder ToC
* Update custom_config.md
* Add note about `max_tokens` field in custom_config.md
2024-01-03 09:22:48 -05:00
|
|
|
const convo = parseConvo({
|
|
|
|
endpoint,
|
|
|
|
endpointType,
|
|
|
|
conversation: lastConversationSetup,
|
|
|
|
possibleValues: {
|
|
|
|
models: possibleModels,
|
|
|
|
secondaryModels,
|
|
|
|
},
|
2023-09-18 12:55:51 -04:00
|
|
|
});
|
💫 feat: Config File & Custom Endpoints (#1474)
* WIP(backend/api): custom endpoint
* WIP(frontend/client): custom endpoint
* chore: adjust typedefs for configs
* refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility
* feat: loadYaml utility
* refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults
* refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config
* refactor(EndpointController): rename variables for clarity
* feat: initial load custom config
* feat(server/utils): add simple `isUserProvided` helper
* chore(types): update TConfig type
* refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models
* feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels
* chore: reorganize server init imports, invoke loadCustomConfig
* refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint
* refactor(Endpoint/ModelController): spread config values after default (temporary)
* chore(client): fix type issues
* WIP: first pass for multiple custom endpoints
- add endpointType to Conversation schema
- add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion)
- use `endpointType` value as `endpoint` where mapping to type is necessary using this field
- use custom defined `endpoint` value and not type for mapping to modelsConfig
- misc: add return type to `getDefaultEndpoint`
- in `useNewConvo`, add the endpointType if it wasn't already added to conversation
- EndpointsMenu: use user-defined endpoint name as Title in menu
- TODO: custom icon via custom config, change unknown to robot icon
* refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code
* chore: remove unused availableModels field in TConfig type
* refactor(parseCompactConvo): pass args as an object and change where used accordingly
* feat: chat through custom endpoint
* chore(message/convoSchemas): avoid saving empty arrays
* fix(BaseClient/saveMessageToDatabase): save endpointType
* refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve
* fix(useConversation): assign endpointType if it's missing
* fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset)
* chore: recorganize types order for TConfig, add `iconURL`
* feat: custom endpoint icon support:
- use UnknownIcon in all icon contexts
- add mistral and openrouter as known endpoints, and add their icons
- iconURL support
* fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults
* refactor(Settings/OpenAI): remove legacy `isOpenAI` flag
* fix(OpenAIClient): do not invoke abortCompletion on completion error
* feat: add responseSender/label support for custom endpoints:
- use defaultModelLabel field in endpointOption
- add model defaults for custom endpoints in `getResponseSender`
- add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel`
- include defaultModelLabel from endpointConfig in custom endpoint client options
- pass `endpointType` to `getResponseSender`
* feat(OpenAIClient): use custom options from config file
* refactor: rename `defaultModelLabel` to `modelDisplayLabel`
* refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere
* feat: `iconURL` and extract environment variables from custom endpoint config values
* feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml`
* docs: custom config docs and examples
* fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions
* fix(custom/initializeClient): extract env var and use `isUserProvided` function
* Update librechat.example.yaml
* feat(InputWithLabel): add className props, and forwardRef
* fix(streamResponse): handle error edge case where either messages or convos query throws an error
* fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error
* feat: user_provided keys for custom endpoints
* fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name`
* feat(loadConfigModels): extract env variables and optimize fetching models
* feat: support custom endpoint iconURL for messages and Nav
* feat(OpenAIClient): add/dropParams support
* docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY`
* docs: update docs with additional notes
* feat(maxTokensMap): add mistral models (32k context)
* docs: update openrouter notes
* Update ai_setup.md
* docs(custom_config): add table of contents and fix note about custom name
* docs(custom_config): reorder ToC
* Update custom_config.md
* Add note about `max_tokens` field in custom_config.md
2024-01-03 09:22:48 -05:00
|
|
|
|
2023-09-18 12:55:51 -04:00
|
|
|
const defaultConvo = {
|
|
|
|
...conversation,
|
|
|
|
...convo,
|
💫 feat: Config File & Custom Endpoints (#1474)
* WIP(backend/api): custom endpoint
* WIP(frontend/client): custom endpoint
* chore: adjust typedefs for configs
* refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility
* feat: loadYaml utility
* refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults
* refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config
* refactor(EndpointController): rename variables for clarity
* feat: initial load custom config
* feat(server/utils): add simple `isUserProvided` helper
* chore(types): update TConfig type
* refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models
* feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels
* chore: reorganize server init imports, invoke loadCustomConfig
* refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint
* refactor(Endpoint/ModelController): spread config values after default (temporary)
* chore(client): fix type issues
* WIP: first pass for multiple custom endpoints
- add endpointType to Conversation schema
- add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion)
- use `endpointType` value as `endpoint` where mapping to type is necessary using this field
- use custom defined `endpoint` value and not type for mapping to modelsConfig
- misc: add return type to `getDefaultEndpoint`
- in `useNewConvo`, add the endpointType if it wasn't already added to conversation
- EndpointsMenu: use user-defined endpoint name as Title in menu
- TODO: custom icon via custom config, change unknown to robot icon
* refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code
* chore: remove unused availableModels field in TConfig type
* refactor(parseCompactConvo): pass args as an object and change where used accordingly
* feat: chat through custom endpoint
* chore(message/convoSchemas): avoid saving empty arrays
* fix(BaseClient/saveMessageToDatabase): save endpointType
* refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve
* fix(useConversation): assign endpointType if it's missing
* fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset)
* chore: recorganize types order for TConfig, add `iconURL`
* feat: custom endpoint icon support:
- use UnknownIcon in all icon contexts
- add mistral and openrouter as known endpoints, and add their icons
- iconURL support
* fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults
* refactor(Settings/OpenAI): remove legacy `isOpenAI` flag
* fix(OpenAIClient): do not invoke abortCompletion on completion error
* feat: add responseSender/label support for custom endpoints:
- use defaultModelLabel field in endpointOption
- add model defaults for custom endpoints in `getResponseSender`
- add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel`
- include defaultModelLabel from endpointConfig in custom endpoint client options
- pass `endpointType` to `getResponseSender`
* feat(OpenAIClient): use custom options from config file
* refactor: rename `defaultModelLabel` to `modelDisplayLabel`
* refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere
* feat: `iconURL` and extract environment variables from custom endpoint config values
* feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml`
* docs: custom config docs and examples
* fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions
* fix(custom/initializeClient): extract env var and use `isUserProvided` function
* Update librechat.example.yaml
* feat(InputWithLabel): add className props, and forwardRef
* fix(streamResponse): handle error edge case where either messages or convos query throws an error
* fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error
* feat: user_provided keys for custom endpoints
* fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name`
* feat(loadConfigModels): extract env variables and optimize fetching models
* feat: support custom endpoint iconURL for messages and Nav
* feat(OpenAIClient): add/dropParams support
* docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY`
* docs: update docs with additional notes
* feat(maxTokensMap): add mistral models (32k context)
* docs: update openrouter notes
* Update ai_setup.md
* docs(custom_config): add table of contents and fix note about custom name
* docs(custom_config): reorder ToC
* Update custom_config.md
* Add note about `max_tokens` field in custom_config.md
2024-01-03 09:22:48 -05:00
|
|
|
endpointType,
|
2023-09-18 12:55:51 -04:00
|
|
|
endpoint,
|
|
|
|
};
|
|
|
|
|
2024-05-03 12:49:26 -04:00
|
|
|
// Ensures assistant_id is always defined
|
🤖 feat: OpenAI Assistants v2 (initial support) (#2781)
* 🤖 Assistants V2 Support: Part 1
- Separated Azure Assistants to its own endpoint
- File Search / Vector Store integration is incomplete, but can toggle and use storage from playground
- Code Interpreter resource files can be added but not deleted
- GPT-4o is supported
- Many improvements to the Assistants Endpoint overall
data-provider v2 changes
copy existing route as v1
chore: rename new endpoint to reduce comparison operations and add new azure filesource
api: add azureAssistants part 1
force use of version for assistants/assistantsAzure
chore: switch name back to azureAssistants
refactor type version: string | number
Ensure assistants endpoints have version set
fix: isArchived type issue in ConversationListParams
refactor: update assistants mutations/queries with endpoint/version definitions, update Assistants Map structure
chore: FilePreview component ExtendedFile type assertion
feat: isAssistantsEndpoint helper
chore: remove unused useGenerations
chore(buildTree): type issue
chore(Advanced): type issue (unused component, maybe in future)
first pass for multi-assistant endpoint rewrite
fix(listAssistants): pass params correctly
feat: list separate assistants by endpoint
fix(useTextarea): access assistantMap correctly
fix: assistant endpoint switching, resetting ID
fix: broken during rewrite, selecting assistant mention
fix: set/invalidate assistants endpoint query data correctly
feat: Fix issue with assistant ID not being reset correctly
getOpenAIClient helper function
feat: add toast for assistant deletion
fix: assistants delete right after create issue for azure
fix: assistant patching
refactor: actions to use getOpenAIClient
refactor: consolidate logic into helpers file
fix: issue where conversation data was not initially available
v1 chat support
refactor(spendTokens): only early return if completionTokens isNaN
fix(OpenAIClient): ensure spendTokens has all necessary params
refactor: route/controller logic
fix(assistants/initializeClient): use defaultHeaders field
fix: sanitize default operation id
chore: bump openai package
first pass v2 action service
feat: retroactive domain parsing for actions added via v1
feat: delete db records of actions/assistants on openai assistant deletion
chore: remove vision tools from v2 assistants
feat: v2 upload and delete assistant vision images
WIP first pass, thread attachments
fix: show assistant vision files (save local/firebase copy)
v2 image continue
fix: annotations
fix: refine annotations
show analyze as error if is no longer submitting before progress reaches 1 and show file_search as retrieval tool
fix: abort run, undefined endpoint issue
refactor: consolidate capabilities logic and anticipate versioning
frontend version 2 changes
fix: query selection and filter
add endpoint to unknown filepath
add file ids to resource, deleting in progress
enable/disable file search
remove version log
* 🤖 Assistants V2 Support: Part 2
🎹 fix: Autocompletion Chrome Bug on Action API Key Input
chore: remove `useOriginNavigate`
chore: set correct OpenAI Storage Source
fix: azure file deletions, instantiate clients by source for deletion
update code interpret files info
feat: deleteResourceFileId
chore: increase poll interval as azure easily rate limits
fix: openai file deletions, TODO: evaluate rejected deletion settled promises to determine which to delete from db records
file source icons
update table file filters
chore: file search info and versioning
fix: retrieval update with necessary tool_resources if specified
fix(useMentions): add optional chaining in case listMap value is undefined
fix: force assistant avatar roundedness
fix: azure assistants, check correct flag
chore: bump data-provider
* fix: merge conflict
* ci: fix backend tests due to new updates
* chore: update .env.example
* meilisearch improvements
* localization updates
* chore: update comparisons
* feat: add additional metadata: endpoint, author ID
* chore: azureAssistants ENDPOINTS exclusion warning
2024-05-19 12:56:55 -04:00
|
|
|
if (isAssistantsEndpoint(endpoint) && !defaultConvo.assistant_id && convo.assistant_id) {
|
2024-05-03 12:49:26 -04:00
|
|
|
defaultConvo.assistant_id = convo.assistant_id;
|
|
|
|
}
|
|
|
|
|
🚧 chore: merge latest dev build to main repo (#3844)
* 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>
2024-08-31 16:33:51 -04:00
|
|
|
// Ensures agent_id is always defined
|
|
|
|
if (isAgentsEndpoint(endpoint) && !defaultConvo.agent_id && convo.agent_id) {
|
|
|
|
defaultConvo.agent_id = convo.agent_id;
|
|
|
|
}
|
|
|
|
|
🤖 feat: Model Specs & Save Tools per Convo/Preset (#2578)
* WIP: first pass ModelSpecs
* refactor(onSelectEndpoint): use `getConvoSwitchLogic`
* feat: introduce iconURL, greeting, frontend fields for conversations/presets/messages
* feat: conversation.iconURL & greeting in Landing
* feat: conversation.iconURL & greeting in New Chat button
* feat: message.iconURL
* refactor: ConversationIcon -> ConvoIconURL
* WIP: add spec as a conversation field
* refactor: useAppStartup, set spec on initial load for new chat, allow undefined spec, add localStorage keys enum, additional type fields for spec
* feat: handle `showIconInMenu`, `showIconInHeader`, undefined `iconURL` and no specs on initial load
* chore: handle undefined or empty modelSpecs
* WIP: first pass, modelSpec schema for custom config
* refactor: move default filtered tools definition to ToolService
* feat: pass modelSpecs from backend via startupConfig
* refactor: modelSpecs config, return and define list
* fix: react error and include iconURL in responseMessage
* refactor: add iconURL to responseMessage only
* refactor: getIconEndpoint
* refactor: pass TSpecsConfig
* fix(assistants): differentiate compactAssistantSchema, correctly resets shared conversation state with other endpoints
* refactor: assistant id prefix localStorage key
* refactor: add more LocalStorageKeys and replace hardcoded values
* feat: prioritize spec on new chat behavior: last selected modelSpec behavior (localStorage)
* feat: first pass, interface config
* chore: WIP, todo: add warnings based on config.modelSpecs settings.
* feat: enforce modelSpecs if configured
* feat: show config file yaml errors
* chore: delete unused legacy Plugins component
* refactor: set tools to localStorage from recoil store
* chore: add stable recoil setter to useEffect deps
* refactor: save tools to conversation documents
* style(MultiSelectPop): dynamic height, remove unused import
* refactor(react-query): use localstorage keys and pass config to useAvailablePluginsQuery
* feat(utils): add mapPlugins
* refactor(Convo): use conversation.tools if defined, lastSelectedTools if not
* refactor: remove unused legacy code using `useSetOptions`, remove conditional flag `isMultiChat` for using legacy settings
* refactor(PluginStoreDialog): add exhaustive-deps which are stable react state setters
* fix(HeaderOptions): pass `popover` as true
* refactor(useSetStorage): use project enums
* refactor: use LocalStorageKeys enum
* fix: prevent setConversation from setting falsy values in lastSelectedTools
* refactor: use map for availableTools state and available Plugins query
* refactor(updateLastSelectedModel): organize logic better and add note on purpose
* fix(setAgentOption): prevent reseting last model to secondary model for gptPlugins
* refactor(buildDefaultConvo): use enum
* refactor: remove `useSetStorage` and consolidate areas where conversation state is saved to localStorage
* fix: conversations retain tools on refresh
* fix(gptPlugins): prevent nullish tools from being saved
* chore: delete useServerStream
* refactor: move initial plugins logic to useAppStartup
* refactor(MultiSelectDropDown): add more pass-in className props
* feat: use tools in presets
* chore: delete unused usePresetOptions
* refactor: new agentOptions default handling
* chore: note
* feat: add label and custom instructions to agents
* chore: remove 'disabled with tools' message
* style: move plugins to 2nd column in parameters
* fix: TPreset type for agentOptions
* fix: interface controls
* refactor: add interfaceConfig, use Separator within Switcher
* refactor: hide Assistants panel if interface.parameters are disabled
* fix(Header): only modelSpecs if list is greater than 0
* refactor: separate MessageIcon logic from useMessageHelpers for better react rule-following
* fix(AppService): don't use reserved keyword 'interface'
* feat: set existing Icon for custom endpoints through iconURL
* fix(ci): tests passing for App Service
* docs: refactor custom_config.md for readability and better organization, also include missing values
* docs: interface section and re-organize docs
* docs: update modelSpecs info
* chore: remove unused files
* chore: remove unused files
* chore: move useSetIndexOptions
* chore: remove unused file
* chore: move useConversation(s)
* chore: move useDefaultConvo
* chore: move useNavigateToConvo
* refactor: use plugin install hook so it can be used elsewhere
* chore: import order
* update docs
* refactor(OpenAI/Plugins): allow modelLabel as an initial value for chatGptLabel
* chore: remove unused EndpointOptionsPopover and hide 'Save as Preset' button if preset UI visibility disabled
* feat(loadDefaultInterface): issue warnings based on values
* feat: changelog for custom config file
* docs: add additional changelog note
* fix: prevent unavailable tool selection from preset and update availableTools on Plugin installations
* feat: add `filteredTools` option in custom config
* chore: changelog
* fix(MessageIcon): always overwrite conversation.iconURL in messageSettings
* fix(ModelSpecsMenu): icon edge cases
* fix(NewChat): dynamic icon
* fix(PluginsClient): always include endpoint in responseMessage
* fix: always include endpoint and iconURL in responseMessage across different response methods
* feat: interchangeable keys for modelSpec enforcing
2024-04-30 22:11:48 -04:00
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defaultConvo.tools = lastConversationSetup?.tools ?? lastSelectedTools ?? defaultConvo.tools;
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2023-09-18 12:55:51 -04:00
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defaultConvo.jailbreak = jailbreak ?? defaultConvo.jailbreak;
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defaultConvo.toneStyle = toneStyle ?? defaultConvo.toneStyle;
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return defaultConvo;
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};
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export default buildDefaultConvo;
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