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🔦 feat: MCP Support for Non-Agent Endpoints (#6775)
* wip: mcp select * refactor: Update useAvailableToolsQuery to support generic data types * feat: Enhance MCPSelect to dynamically load server options and improve MultiSelect component styling * WIP: ephemeral agents * wip: Add null check for MCPSelect and improve MultiSelect focus handling * feat: Pass conversationId prop to MCPSelect in BadgeRow to optimize badge rendering * feat: useApplyNewAgentTemplate hook to manage ephemeral agent upon conversation creation * WIP: eph. agent payload * refactor(OpenAIClient): streamline message processing by replacing content handling with parseTextParts function * feat: enhance applyAgentTemplate function to accept source conversation ID for improved template application * feat(parsers): add skipReasoning parameter to parseTextParts for conditional reasoning handling * WIP: first pass, ephemeral agent backend processing * chore: import order * feat: update loadEphemeralAgent and loadAgent functions to accept model_parameters for enhanced agent configuration * feat: add showMCPServers prop to BadgeRow for conditional rendering of MCPSelect, fix react rule violation * feat: enhance MCPSelect with localized placeholder and custom icon, add renderSelectedValues callback * feat: simplify message processing in AnthropicClient by replacing content handling with parseTextParts function * feat: implement useLocalStorage hook for managing MCP values and update MCPSelect to utilize it * chore: remove chatGPTBrowserSchema from endpoint schemas and update types for improved schema management * chore: remove compactChatGPTSchema from endpoint schemas and update types for better schema management * refactor: rename schemas for clarity and improve schema management * feat: extend model detection to include 'codestral' alongside 'mistral' * feat: add endpointType parameter to buildOptions and initializeClient functions * fix: update condition for handling completion in BaseClient to include agents client * refactor: simplify payload parsing logic in AgentClient and remove unused providerParsers * refactor: change useSetRecoilState to useRecoilState for better state management in MCPSelect component * refactor: streamline chat route handlers by consolidating middleware and improving endpoint structure * style: update MCPSelect and MultiSelect components for improved layout in mobile view * v0.7.790 * feat: add getMessageMapMethod to process message text and content in GoogleClient * chore: include LAST_MCP_ key prefix in clearLocalStorage function for proper teardown on logout
This commit is contained in:
Danny Avila
GitHub
parent
018143b5cc
commit
910c73359b
31 changed files with 741 additions and 285 deletions
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@ -752,22 +752,23 @@ export const tConversationTagSchema = z.object({
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});
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export type TConversationTag = z.infer<typeof tConversationTagSchema>;
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export const googleSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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promptPrefix: true,
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examples: true,
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temperature: true,
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maxOutputTokens: true,
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artifacts: true,
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topP: true,
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topK: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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})
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export const googleBaseSchema = tConversationSchema.pick({
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model: true,
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modelLabel: true,
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promptPrefix: true,
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examples: true,
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temperature: true,
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maxOutputTokens: true,
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artifacts: true,
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topP: true,
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topK: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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});
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export const googleSchema = googleBaseSchema
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.transform((obj: Partial<TConversation>) => removeNullishValues(obj))
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.catch(() => ({}));
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@ -790,36 +791,25 @@ export const googleGenConfigSchema = z
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.strip()
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.optional();
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export const chatGPTBrowserSchema = tConversationSchema
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.pick({
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model: true,
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})
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.transform((obj) => ({
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...obj,
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model: obj.model ?? 'text-davinci-002-render-sha',
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}))
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.catch(() => ({
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model: 'text-davinci-002-render-sha',
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}));
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const gptPluginsBaseSchema = tConversationSchema.pick({
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model: true,
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modelLabel: true,
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chatGptLabel: true,
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promptPrefix: true,
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temperature: true,
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artifacts: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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tools: true,
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agentOptions: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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});
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export const gptPluginsSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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chatGptLabel: true,
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promptPrefix: true,
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temperature: true,
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artifacts: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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tools: true,
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agentOptions: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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})
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export const gptPluginsSchema = gptPluginsBaseSchema
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.transform((obj) => {
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const result = {
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...obj,
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@ -889,18 +879,19 @@ export function removeNullishValues<T extends Record<string, unknown>>(
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return newObj;
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}
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export const assistantSchema = tConversationSchema
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.pick({
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model: true,
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assistant_id: true,
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instructions: true,
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artifacts: true,
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promptPrefix: true,
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iconURL: true,
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greeting: true,
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spec: true,
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append_current_datetime: true,
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})
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const assistantBaseSchema = tConversationSchema.pick({
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model: true,
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assistant_id: true,
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instructions: true,
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artifacts: true,
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promptPrefix: true,
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iconURL: true,
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greeting: true,
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spec: true,
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append_current_datetime: true,
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});
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export const assistantSchema = assistantBaseSchema
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.transform((obj) => ({
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...obj,
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model: obj.model ?? openAISettings.model.default,
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@ -923,37 +914,39 @@ export const assistantSchema = tConversationSchema
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append_current_datetime: false,
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}));
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export const compactAssistantSchema = tConversationSchema
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.pick({
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model: true,
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assistant_id: true,
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instructions: true,
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promptPrefix: true,
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artifacts: true,
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iconURL: true,
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greeting: true,
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spec: true,
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})
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const compactAssistantBaseSchema = tConversationSchema.pick({
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model: true,
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assistant_id: true,
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instructions: true,
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promptPrefix: true,
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artifacts: true,
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iconURL: true,
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greeting: true,
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spec: true,
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});
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export const compactAssistantSchema = compactAssistantBaseSchema
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.transform((obj) => removeNullishValues(obj))
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.catch(() => ({}));
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export const agentsSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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temperature: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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resendFiles: true,
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imageDetail: true,
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agent_id: true,
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instructions: true,
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promptPrefix: true,
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iconURL: true,
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greeting: true,
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maxContextTokens: true,
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})
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export const agentsBaseSchema = tConversationSchema.pick({
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model: true,
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modelLabel: true,
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temperature: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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resendFiles: true,
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imageDetail: true,
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agent_id: true,
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instructions: true,
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promptPrefix: true,
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iconURL: true,
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greeting: true,
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maxContextTokens: true,
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});
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export const agentsSchema = agentsBaseSchema
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.transform((obj) => ({
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...obj,
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model: obj.model ?? agentsSettings.model.default,
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@ -989,46 +982,32 @@ export const agentsSchema = tConversationSchema
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maxContextTokens: undefined,
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}));
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export const openAISchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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chatGptLabel: true,
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promptPrefix: true,
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temperature: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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resendFiles: true,
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artifacts: true,
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imageDetail: true,
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stop: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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max_tokens: true,
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reasoning_effort: true,
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})
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export const openAIBaseSchema = tConversationSchema.pick({
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model: true,
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modelLabel: true,
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chatGptLabel: true,
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promptPrefix: true,
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temperature: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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resendFiles: true,
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artifacts: true,
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imageDetail: true,
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stop: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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max_tokens: true,
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reasoning_effort: true,
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});
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export const openAISchema = openAIBaseSchema
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.transform((obj: Partial<TConversation>) => removeNullishValues(obj))
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.catch(() => ({}));
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export const compactGoogleSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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promptPrefix: true,
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examples: true,
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temperature: true,
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maxOutputTokens: true,
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artifacts: true,
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topP: true,
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topK: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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})
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export const compactGoogleSchema = googleBaseSchema
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.transform((obj) => {
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const newObj: Partial<TConversation> = { ...obj };
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if (newObj.temperature === google.temperature.default) {
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@ -1048,55 +1027,30 @@ export const compactGoogleSchema = tConversationSchema
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})
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.catch(() => ({}));
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export const anthropicSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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promptPrefix: true,
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temperature: true,
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maxOutputTokens: true,
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topP: true,
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topK: true,
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resendFiles: true,
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promptCache: true,
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thinking: true,
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thinkingBudget: true,
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artifacts: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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})
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export const anthropicBaseSchema = tConversationSchema.pick({
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model: true,
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modelLabel: true,
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promptPrefix: true,
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temperature: true,
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maxOutputTokens: true,
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topP: true,
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topK: true,
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resendFiles: true,
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promptCache: true,
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thinking: true,
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thinkingBudget: true,
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artifacts: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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});
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export const anthropicSchema = anthropicBaseSchema
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.transform((obj) => removeNullishValues(obj))
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.catch(() => ({}));
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export const compactChatGPTSchema = tConversationSchema
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.pick({
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model: true,
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})
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.transform((obj) => {
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const newObj: Partial<TConversation> = { ...obj };
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return removeNullishValues(newObj);
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})
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.catch(() => ({}));
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export const compactPluginsSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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chatGptLabel: true,
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promptPrefix: true,
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temperature: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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tools: true,
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agentOptions: true,
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iconURL: true,
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greeting: true,
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spec: true,
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maxContextTokens: true,
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})
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export const compactPluginsSchema = gptPluginsBaseSchema
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.transform((obj) => {
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const newObj: Partial<TConversation> = { ...obj };
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if (newObj.modelLabel === null) {
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@ -1149,15 +1103,16 @@ export const tBannerSchema = z.object({
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});
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export type TBanner = z.infer<typeof tBannerSchema>;
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export const compactAgentsSchema = tConversationSchema
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.pick({
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spec: true,
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// model: true,
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iconURL: true,
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greeting: true,
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agent_id: true,
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instructions: true,
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additional_instructions: true,
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})
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export const compactAgentsBaseSchema = tConversationSchema.pick({
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spec: true,
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// model: true,
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iconURL: true,
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greeting: true,
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agent_id: true,
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instructions: true,
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additional_instructions: true,
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});
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export const compactAgentsSchema = compactAgentsBaseSchema
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.transform((obj) => removeNullishValues(obj))
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.catch(() => ({}));
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