← 返回
未分类

Deepvista Chat

DeepVista Chat: Send messages to the AI agent and manage chat sessions.
DeepVista Chat: 向AI代理发送消息并管理聊天会话。
jingconan
未分类 clawhub v0.1.0-alpha.21 1 版本 100000 Key: 无需
★ 0
Stars
📥 266
下载
💾 0
安装
1
版本
#latest

概述

Chat

> PREREQUISITE: Read deepvista-shared for auth, profiles, and global flags.

Chat with the DeepVista AI agent. The agent can search your knowledge base, create cards, run web searches, and execute tools.

Commands

sessions

deepvista chat sessions [--limit N] [--offset N] [--search "query"]

Read-only — list chat sessions.

get

deepvista chat get <chat_id>

Read-only — returns session metadata (id, summary, created_at, status). Full message history is not returned by this endpoint.

delete

deepvista chat delete <chat_id>

> [!CAUTION] Destructive command — confirm with user before executing.

+send

deepvista chat +send "your message" [--chat-id ID] [--new]

> [!CAUTION]

> This is a write command — creates/updates chat sessions and the agent may create cards, search the web, and take other actions. Confirm with the user before executing.

FlagRequiredDefaultDescription
--------------------------------------
YesYour message to the agent
--chat-idNoContinue an existing chat session
--newNofalseForce start a new conversation

Output is NDJSON — one JSON object per line, streamed as the agent responds.

SSE Event Format

+send streams events in this structure. Parse page_delta events to get the agent's response text:

{"type": "chat_session", "id": "abc123", ...}
{"type": "page", "page": {"user_instruction": "...", ...}}
{"type": "page_delta", "parts": [
  {"type": "tool_result", "output": "partial response text...", "done": false}
], "page_index": 0}
{"type": "page_delta", "parts": [
  {"type": "tool_result", "output": "full response text", "done": true, "options": ["follow-up 1", "follow-up 2"]}
]}

Key fields:

  • type: "chat_session" — first event; contains the id of the session
  • type: "page_delta" — carries the streamed response
  • parts[].type: "tool_result" — the agent's text; output is the full accumulated text so far (not an incremental delta)
  • parts[].done: true — final chunk; options may contain suggested follow-up prompts

Examples

# Send a message (new conversation)
deepvista chat +send "What are my open tasks?" --new

# Continue an existing conversation
deepvista chat +send "Tell me more about the first one" --chat-id abc123

# Ask the agent to create a note
deepvista chat +send "Create a note summarizing our ML strategy discussion"

# List recent sessions
deepvista chat sessions --limit 5

# Search sessions by summary
deepvista chat sessions --search "roadmap"

See Also

版本历史

共 1 个版本

  • v0.1.0-alpha.21 当前
    2026-05-20 05:31 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

Deepvista Recipe

jingconan
DeepVista 配方:管理结构化可执行工作流并通过 AI 代理运行。
★ 1 📥 278

Deepvista Recipe Export Knowledge As Skills

jingconan
配方:将配方导出为 AI 代理可安装的 SKILL.md 文件。
★ 0 📥 286

Deepvista Recipe Research To Recipe

jingconan
配方:搜索知识库,综合发现,执行配方工作流。
★ 0 📥 277