Enable, disable, or register custom models for an integration. This changes model availability for every workspace using it, so confirm the downstream impact first. Returns success and the number of models updated.
AI agents use update_integration_models to create or update resources in Portkey Admin — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Portkey Admin environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
slug | string | Yes | The slug of the integration |
models | array | Yes | Array of model configurations to update |
Parameters from the server's own tool schema.
An AI agent can call update_integration_models faster than any human can review — one bad instruction and it creates or modifies resources in Portkey Admin by the hundred, each call as confident as the last.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Enable, disable, or register custom models for an integration. This changes model availability for every workspace using it, so confirm the downstream impact first. Returns success and the number of models updated. It is categorised as a Write tool in the Portkey Admin MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_integration_models accepts 2 parameters: slug, models. Required: slug, models. The full parameter table on this page comes from the server's own tool schema.
Register the Portkey Admin MCP server in PolicyLayer and add a rule for update_integration_models: 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 Portkey Admin. Nothing to install.
update_integration_models 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 update_integration_models 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 update_integration_models. 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.
update_integration_models is provided by the Portkey Admin MCP server (CodesWhat/portkey-admin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.