Worker

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Node Details

• Name: worker

• Type: Worker

• Version: 2.0

• Category: Multi Agents

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Base Classes

• Worker_MultiAgents

• (Additional base classes from Worker implementation)

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Parameters

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Inputs

1. Worker Name (Required)

   • Type: string

   • Description: Unique identifier for the worker agent

2. Worker Prompt (Required)

   • Type: string

   • Default: “You are a research assistant who can search for up-to-date info using search engine.”

   • Description: Defines the worker’s behavior and specialization

3. Tools (Optional)

   • Type: Tool[]

   • Description: List of tools available to the worker for task execution

4. Supervisor (Required)

   • Type: Supervisor

   • Description: Reference to the supervising node

5. Tool Calling Chat Model (Optional)

   • Type: BaseChatModel

   • Description: Language model for tool interactions

   • Default: Uses supervisor’s model if not specified

   • Compatible Models:

     • ChatOpenAI

     • ChatMistral

     • ChatAnthropic

     • ChatGoogleGenerativeAI

     • ChatVertexAI

     • GroqChat

6. Format Prompt Values (Optional)

   • Type: json

   • Description: Values for input variables in the worker prompt

7. Max Iterations (Optional)

   • Type: number

   • Description: Maximum execution iterations allowed

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Functionality

1. Task Execution

   • Autonomous operation

   • Tool utilization

   • Task specialization

   • Multi-modal support

2. Integration Features

   • Supervisor coordination

   • Tool management

   • State handling

   • Error management

3. Process Control

   • Iteration management

   • Abort handling

   • Progress tracking

   • Resource optimization

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Use Cases

1. Specialized Research

   • Information gathering

   • Data analysis

   • Source verification

   • Report generation

2. Tool-Based Tasks

   • API interactions

   • Data processing

   • Resource management

   • System integration

3. Collaborative Work

   • Team coordination

   • Task specialization

   • Result sharing

   • Progress reporting

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Integration Notes

• Requires proper supervisor configuration

• Supports multi-modal content

• Handles tool integration seamlessly

• Manages state persistence

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Best Practices

1. Configuration

   • Clear role definition

   • Appropriate tool selection

   • Optimal prompt design

   • Resource allocation

2. Error Handling

   • Input validation

   • Tool error management

   • State recovery

   • Graceful degradation

3. Performance Optimization

   • Tool usage efficiency

   • Prompt optimization

   • Iteration control

   • Resource management

4. Maintenance

   • Regular prompt updates

   • Tool verification

   • Performance monitoring

   • Error pattern analysis