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POST
/
action
/
meeting_prep_generate_meeting_sections
[P6] Generate Meeting Sections
curl --request POST \
  --url https://api-lr.agent.ai/v1/action/meeting_prep_generate_meeting_sections \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "processed_research": "{{processed_research}}",
  "target_company_identity": "{{prepared_contacts.target_company}}",
  "meeting_classification": "{{meeting_classification}}",
  "processed_gcal_event": "{{processed_gcal_event}}",
  "output_variable_name": "meeting_sections",
  "topic_signals": "{{topic_signals}}",
  "meeting_relationships": "{{meeting_relationships}}",
  "user_context": "{{user_context}}",
  "sections_to_generate": "[\"overview\", \"attendees\", \"company\", \"strategy\", \"goals\"]",
  "fast_model": "gpt-5-mini",
  "quality_model": "gpt-5"
}
'
{
  "status": 123,
  "response": {}
}

Authorizations

Authorization
string
header
required

Bearer token from your account (https://agent.ai/user/integrations#api)

Body

application/json
processed_research
string
default:{{processed_research}}
required

The processed contact research results.

target_company_identity
string
default:{{prepared_contacts.target_company}}
required

Target company information.

meeting_classification
string
default:{{meeting_classification}}
required

The meeting classification result.

processed_gcal_event
string
default:{{processed_gcal_event}}
required

The processed calendar event data.

output_variable_name
string
default:meeting_sections
required

Variable name to store generated sections.

Pattern: ^[a-zA-Z][a-zA-Z0-9_]*$
topic_signals
string
default:{{topic_signals}}

Topic signals from classification. Usually {{meeting_classification.topic_signals}}.

meeting_relationships
string
default:{{meeting_relationships}}

Relationship analysis results.

user_context
string
default:{{user_context}}

User context for personalization.

sections_to_generate
string
default:["overview", "attendees", "company", "strategy", "goals"]

Which sections to generate. Options: overview, attendees, company, strategy, goals.

fast_model
enum<string>
default:gpt-5-mini

Model for simpler sections (overview, company, goals).

Available options:
gpt-5-mini,
gpt-5,
gpt-4o-mini,
gpt-4o,
claude-haiku-4-5
quality_model
enum<string>
default:gpt-5

Model for complex sections (attendees, strategy).

Available options:
gpt-5,
gpt-5-mini,
claude-sonnet-4-5,
gpt-4o,
gpt-4o-mini

Response

Successful response

status
integer<int32>

HTTP status code of the action response

response
object

Response data from the action