🔗 feat: Agent Chain (Mixture-of-Agents) (#6374)

* 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

api/utils/tokens.spec.js

@@ -423,6 +423,9 @@ describe('Meta Models Tests', () => {
       expect(getModelMaxTokens('deepseek-reasoner')).toBe(
         maxTokensMap[EModelEndpoint.openAI]['deepseek-reasoner'],
       );
+      expect(getModelMaxTokens('deepseek.r1')).toBe(
+        maxTokensMap[EModelEndpoint.openAI]['deepseek.r1'],
+      );
     });
   });