Documentation
  • Installation
  • Support
  • AnyAssistant Builder
    • Basics
    • Node Inspector
    • Functions & Skills
    • Working with Skills
    • Memory
    • Planning
    • Nodes
      • Control
        • User Input
        • Show User
        • Get Variable
        • Set Variable
        • Start
      • Invoke
        • Invoke Chat LLM
        • Invoke LLM With Planner
        • Invoke Planner
        • Invoke Native Function
        • Invoke Semantic Function
      • Model
        • ChatGPT
        • OpenAI Text
        • OpenAI Embedding
        • Hugging Face Embedding
        • Hugging Face Text
        • Load GGML Model
      • Memory
        • Simple Chat Memory
        • Contextual Chat Memory
      • Planner
        • Action Planner
        • Sequential Planner
      • Skills
        • Load Assistant Skills
        • Load Native Skills (C#)
        • Load Native Skills (Python)
        • Load Semantic Skills
      • OCR
        • Tesseract OCR
      • Data Source
        • Load CSV
        • Load PDF Files
        • Read Text File
        • Map Data Source
      • Vector Store
        • Postgres
        • Qdrant
        • Get Similar Vectors
        • Update Vector Store
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  • Inputs
  • Outputs

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  1. AnyAssistant Builder
  2. Nodes
  3. Invoke

Invoke LLM With Planner

Invokes the Language Model for planning and executes the returned plan.

Inputs

Message

The message from the user.

Prompt Template

The template is used to format the input message before sending it to the model.

Memory Provider

The memory provider stores the chat history.

Language Model

This variable name.

Planner

The planner.

Outputs

LLM Response

The response from the model.

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Last updated 2 years ago

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