> ## 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**](https://praison.ai/docs/sdk/reference/praisonaiagents/modules/protocols.md) module.

AI Agent

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

**status** `ConversationReplyStatus`

No description available.

**target** `str`

No description available.

**text** `str`

No description available.

**detail** `Optional[str]`

No description available.

## Methods

> [card] [as\_dict()](https://praison.ai/docs/sdk/reference/praisonaiagents/functions/ConversationReply-as_dict.md)
>
> Convert to a serializable dictionary for the tool return value.

## Source

> [card] [View on GitHub](https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-agents/praisonaiagents/gateway/protocols.py#L3747)
>
> `praisonaiagents/gateway/protocols.py` at line 3747


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