set_post_prompt

Set the post-prompt text for summary generation. After a conversation ends, the AI uses this prompt to analyze the conversation and generate a structured summary. The summary is delivered to your on_summary() callback or the set_post_prompt_url() endpoint.

Parameters

text

strRequired

Instructions for summary generation. Tell the AI what to extract from the conversation — for example, caller intent, resolution status, or action items.

Returns

AgentBase — Returns self for method chaining.

Example

from signalwire import AgentBase
agent = AgentBase(name="support", route="/support")
agent.set_prompt_text("You are a customer support agent for Acme Corp.")
agent.set_post_prompt("""
Summarize this conversation as JSON with the following fields:
- caller_intent: What the caller wanted
- resolution: Whether their issue was resolved (yes/no/partial)
- action_items: List of follow-up actions needed
- sentiment: Overall caller sentiment (positive/neutral/negative)
""")
agent.serve()