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

# Conversation Reply • AI Agent SDK

> ConversationReply: Outcome of an agent-initiated cross-conversation request (Issue #3689).

# ConversationReply

> Defined in the [**protocols**](../modules/protocols) module.

<Badge color="blue">AI Agent</Badge>

Outcome of an agent-initiated cross-conversation request (Issue #3689).

Every request resolves to exactly one of the :data:`ConversationReplyStatus`
outcomes, so the agent always gets a typed answer back into its turn rather
than a silent hang.

Attributes:
status: The outcome (`reply` / `timeout` / `undelivered` /
`no_route`).
target: The resolved target the prompt was routed to.
text: The reply text, populated only when `status == "reply"`.
detail: Optional extra information (error text, message id, etc.).

## Properties

<ResponseField name="status" type="ConversationReplyStatus">
  No description available.
</ResponseField>

<ResponseField name="target" type="str">
  No description available.
</ResponseField>

<ResponseField name="text" type="str">
  No description available.
</ResponseField>

<ResponseField name="detail" type="Optional[str]">
  No description available.
</ResponseField>

## Methods

<CardGroup cols={2}>
  <Card title="as_dict()" icon="function" href="../functions/ConversationReply-as_dict">
    Convert to a serializable dictionary for the tool return value.
  </Card>
</CardGroup>

## Source

<Card title="View on GitHub" icon="github" href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-agents/praisonaiagents/gateway/protocols.py#L2631">
  `praisonaiagents/gateway/protocols.py` at line 2631
</Card>