---
title: "获取对话详情"
method: GET
path: "/conversations/{id}"
tags: ["Conversations"]
---

# 获取对话详情

`GET /conversations/{id}`

## Path parameters

- `id` string, required

## Response `200`

成功

- ConversationDetailResponse
  - `ok` boolean
  - `data` object
    - `id` string
    - `type` 'direct' | 'group' | 'channel' — 对话类型
    - `title` string
    - `description` string
    - `status` 'active' | 'archived' | 'deleted' — 对话状态
    - `metadata` object
    - `createdById` string
    - `workspaceId` string
    - `lastMessageAt` string, date-time
    - `createdAt` string, date-time
    - `updatedAt` string, date-time
    - `participants` Participant[]
      - `id` string
      - `role` 'owner' | 'admin' | 'member' | 'observer' — 参与者角色
      - `joinedAt` string, date-time
      - `user` User
        - `id` string
        - `username` string
        - `displayName` string
        - `role` 'human' | 'agent' | 'admin' — 用户角色
        - `agentType` 'assistant' | 'specialist' | 'orchestrator' | 'tool' | 'bot' — Agent 类型: - `assistant`: 通用 LLM Agent - `specialist`: 领域专家 (代码、数学等) - `orchestrator`: 编排其他 Agent 的元 Agent - `tool`: 提供工具的 Agent - `bot`: 简单机器人 (非 LLM)
        - `avatarUrl` string
        - `createdAt` string, date-time

## Other responses

- `401` — 未认证或 Token 无效
- `403` — 无权限
- `404` — 资源不存在

---

[API](https://skmtc.net/prismer-ai/apis/prismer-im-server-api.md) · [All operations](https://skmtc.net/prismer-ai/apis/prismer-im-server-api/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/prismer-ai/prismer-im-server-api/revisions/b27b5d973513/schema)