> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agent.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# [P6] Generate Meeting Sections

> Generates all 5 meeting prep sections in parallel using LLM with structured JSON output. Uses tiered models for speed/quality balance.



## OpenAPI

````yaml /api-reference/v1/v1.1.0_openapi.json post /action/meeting_prep_generate_meeting_sections
openapi: 3.0.0
info:
  version: 1.1.0
  title: AI Actions - Get Data
  description: API specifications for 'Get Data' category AI actions.
  license:
    name: MIT
servers:
  - url: https://api-lr.agent.ai/v1
security:
  - bearerAuth: []
paths:
  /action/meeting_prep_generate_meeting_sections:
    post:
      tags:
        - Meeting Prep
      summary: '[P6] Generate Meeting Sections'
      description: >-
        Generates all 5 meeting prep sections in parallel using LLM with
        structured JSON output. Uses tiered models for speed/quality balance.
      operationId: meetingPrepGenerateMeetingSections
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                processed_research:
                  type: string
                  x-ui: textarea
                  description: The processed contact research results.
                  default: '{{processed_research}}'
                target_company_identity:
                  type: string
                  x-ui: textarea
                  description: Target company information.
                  default: '{{prepared_contacts.target_company}}'
                meeting_classification:
                  type: string
                  x-ui: textarea
                  description: The meeting classification result.
                  default: '{{meeting_classification}}'
                topic_signals:
                  type: string
                  x-ui: textarea
                  description: >-
                    Topic signals from classification. Usually
                    {{meeting_classification.topic_signals}}.
                  default: '{{topic_signals}}'
                meeting_relationships:
                  type: string
                  x-ui: textarea
                  description: Relationship analysis results.
                  default: '{{meeting_relationships}}'
                processed_gcal_event:
                  type: string
                  x-ui: textarea
                  description: The processed calendar event data.
                  default: '{{processed_gcal_event}}'
                user_context:
                  type: string
                  x-ui: textarea
                  description: User context for personalization.
                  default: '{{user_context}}'
                sections_to_generate:
                  type: string
                  x-ui: textarea
                  description: >-
                    Which sections to generate. Options: overview, attendees,
                    company, strategy, goals.
                  default: '["overview", "attendees", "company", "strategy", "goals"]'
                fast_model:
                  type: string
                  enum:
                    - gpt-5-mini
                    - gpt-5
                    - gpt-4o-mini
                    - gpt-4o
                    - claude-haiku-4-5
                  description: Model for simpler sections (overview, company, goals).
                  default: gpt-5-mini
                quality_model:
                  type: string
                  enum:
                    - gpt-5
                    - gpt-5-mini
                    - claude-sonnet-4-5
                    - gpt-4o
                    - gpt-4o-mini
                  description: Model for complex sections (attendees, strategy).
                  default: gpt-5
                output_variable_name:
                  type: string
                  description: Variable name to store generated sections.
                  default: meeting_sections
                  pattern: ^[a-zA-Z][a-zA-Z0-9_]*$
              required:
                - processed_research
                - target_company_identity
                - meeting_classification
                - processed_gcal_event
                - output_variable_name
      responses:
        '200':
          description: Successful response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
        '400':
          description: Bad request
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
        '401':
          description: Unauthorized - invalid or missing bearer token
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
        '500':
          description: Internal server error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ActionResponse'
components:
  schemas:
    ActionResponse:
      type: object
      properties:
        status:
          type: integer
          format: int32
          description: HTTP status code of the action response
        response:
          type: object
          description: Response data from the action
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: >-
        Bearer token from your account
        ([https://agent.ai/user/integrations#api](https://agent.ai/user/integrations#api))

````