mirror of
https://github.com/danny-avila/LibreChat.git
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* wip: first pass, dropdown for selecting sequential agents * refactor: Improve agent selection logic and enhance performance in SequentialAgents component * wip: seq. agents working ideas * wip: sequential agents style change * refactor: move agent form options/submission outside of AgentConfig * refactor: prevent repeating code * refactor: simplify current agent display in SequentialAgents component * feat: persist form value handling in AgentSelect component for agent_ids * feat: first pass, sequential agnets agent update * feat: enhance message display with agent updates and empty text handling * chore: update Icon component to use EModelEndpoint for agent endpoints * feat: update content type checks in BaseClient to use constants for better readability * feat: adjust max context tokens calculation to use 90% of the model's max tokens * feat: first pass, agent run message pruning * chore: increase max listeners for abort controller to prevent memory leaks * feat: enhance runAgent function to include current index count map for improved token tracking * chore: update @librechat/agents dependency to version 2.2.5 * feat: update icons and style of SequentialAgents component for improved UI consistency * feat: add AdvancedButton and AdvancedPanel components for enhanced agent settings navigation, update styling for agent form * chore: adjust minimum height of AdvancedPanel component for better layout consistency * chore: update @librechat/agents dependency to version 2.2.6 * feat: enhance message formatting by incorporating tool set into agent message processing, in order to allow better mix/matching of agents (as tool calls for tools not found in set will be stringified) * refactor: reorder components in AgentConfig for improved readability and maintainability * refactor: enhance layout of AgentUpdate component for improved visual structure * feat: add DeepSeek provider to Bedrock settings and schemas * feat: enhance link styling in mobile.css for better visibility and accessibility * fix: update banner model import in update banner script; export Banner model * refactor: `duplicateAgentHandler` to include tool_resources only for OCR context files * feat: add 'qwen-vl' to visionModels for enhanced model support * fix: change image format from JPEG to PNG in DALLE3 response * feat: reorganize Advanced components and add localizations * refactor: simplify JSX structure in AgentChain component to defer container styling to parent * feat: add FormInput component for reusable input handling * feat: make agent recursion limit configurable from builder * feat: add support for agent capabilities chain in AdvancedPanel and update data-provider version * feat: add maxRecursionLimit configuration for agents and update related documentation * fix: update CONFIG_VERSION to 1.2.3 in data provider configuration * feat: replace recursion limit input with MaxAgentSteps component and enhance input handling * feat: enhance AgentChain component with hover card for additional information and update related labels * fix: pass request and response objects to `createActionTool` when using assistant actions to prevent auth error * feat: update AgentChain component layout to include agent count display * feat: increase default max listeners and implement capability check function for agent chain * fix: update link styles in mobile.css for better visibility in dark mode * chore: temp. remove agents package while bumping shared packages * chore: update @langchain/google-genai package to version 0.1.11 * chore: update @langchain/google-vertexai package to version 0.2.2 * chore: add @librechat/agents package at version 2.2.8 * feat: add deepseek.r1 model with token rate and context values for bedrock
124 lines
2.3 KiB
TypeScript
124 lines
2.3 KiB
TypeScript
import { Schema, Document, Types } from 'mongoose';
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export interface IAgent extends Omit<Document, 'model'> {
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id: string;
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name?: string;
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description?: string;
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instructions?: string;
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avatar?: {
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filepath: string;
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source: string;
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};
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provider: string;
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model: string;
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model_parameters?: Record<string, unknown>;
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artifacts?: string;
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access_level?: number;
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recursion_limit?: number;
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tools?: string[];
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tool_kwargs?: Array<unknown>;
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actions?: string[];
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author: Types.ObjectId;
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authorName?: string;
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hide_sequential_outputs?: boolean;
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end_after_tools?: boolean;
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agent_ids?: string[];
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isCollaborative?: boolean;
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conversation_starters?: string[];
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tool_resources?: unknown;
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projectIds?: Types.ObjectId[];
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}
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const agentSchema = new Schema<IAgent>(
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{
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id: {
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type: String,
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index: true,
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unique: true,
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required: true,
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},
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name: {
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type: String,
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},
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description: {
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type: String,
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},
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instructions: {
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type: String,
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},
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avatar: {
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type: Schema.Types.Mixed,
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default: undefined,
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},
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provider: {
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type: String,
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required: true,
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},
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model: {
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type: String,
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required: true,
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},
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model_parameters: {
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type: Object,
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},
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artifacts: {
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type: String,
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},
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access_level: {
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type: Number,
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},
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recursion_limit: {
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type: Number,
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},
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tools: {
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type: [String],
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default: undefined,
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},
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tool_kwargs: {
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type: [{ type: Schema.Types.Mixed }],
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},
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actions: {
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type: [String],
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default: undefined,
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},
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author: {
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type: Schema.Types.ObjectId,
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ref: 'User',
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required: true,
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},
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authorName: {
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type: String,
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default: undefined,
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},
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hide_sequential_outputs: {
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type: Boolean,
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},
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end_after_tools: {
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type: Boolean,
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},
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agent_ids: {
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type: [String],
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},
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isCollaborative: {
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type: Boolean,
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default: undefined,
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},
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conversation_starters: {
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type: [String],
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default: [],
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},
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tool_resources: {
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type: Schema.Types.Mixed,
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default: {},
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},
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projectIds: {
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type: [Schema.Types.ObjectId],
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ref: 'Project',
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index: true,
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},
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},
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{
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timestamps: true,
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},
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);
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export default agentSchema;
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