Install
openclaw skills install deepvista-chatDeepVista Chat: Send messages to the AI agent and manage chat sessions.
openclaw skills install deepvista-chatPREREQUISITE: 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.
deepvista chat sessions [--limit N] [--offset N] [--search "query"]
Read-only — list chat sessions.
deepvista chat get <chat_id>
Read-only — returns session metadata (id, summary, created_at, status). Full message history is not returned by this endpoint.
deepvista chat delete <chat_id>
[!CAUTION] Destructive command — confirm with user before executing.
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.
| Flag | Required | Default | Description |
|---|---|---|---|
<message> | Yes | — | Your message to the agent |
--chat-id | No | — | Continue an existing chat session |
--new | No | false | Force start a new conversation |
Output is NDJSON — one JSON object per line, streamed as the agent responds.
+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 sessiontype: "page_delta" — carries the streamed responseparts[].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# 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"
deepvista chat --help