Export an AI agent session as a portable bundle. The bundle contains conversation history, agent-specific session files, and optionally workspace info (git patch or tar). Use this to prepare a session for transfer to another machine.
AI agents use session_export to create or update resources in Yaver — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yaver environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
task_id | string | Yes | The task ID of the session to export |
workspace_mode | string | — | How to include workspace: 'none', 'git' (git patch), or 'tar'. Default: 'git' if git repo, else 'none'. |
include_workspace | boolean | — | Include workspace files in the bundle (default: false) |
Parameters from the server's own tool schema.
An AI agent can call session_export faster than any human can review — one bad instruction and it creates or modifies resources in Yaver by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Export an AI agent session as a portable bundle. The bundle contains conversation history, agent-specific session files, and optionally workspace info (git patch or tar). Use this to prepare a session for transfer to another machine. It is categorised as a Write tool in the Yaver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
session_export accepts 3 parameters: task_id, workspace_mode, include_workspace. Required: task_id. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver MCP server in PolicyLayer and add a rule for session_export: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Yaver. Nothing to install.
session_export is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the session_export rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for session_export. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
session_export is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.