--- title: Hero AI slug: connectors/hero-ai docTags: createdAt: 2026-06-09T16:30:16.864Z --- The Hero AI connector enables the execution of advanced language models within Swimlane playbooks, enhancing automation with AI-driven natural language processing. Hero AI is an advanced AI platform that integrates with Swimlane Turbine to provide intelligent automation capabilities within security workflows. By leveraging the 'call\_llm' action, users can execute large language models (LLMs) to generate insights, automate responses, and enhance decision-making processes. The integration allows for dynamic interaction with AI models using custom prompts, enabling tailored outputs that can inform security strategies and operations. This connector empowers end-users to harness the power of AI directly within their security playbooks, streamlining complex tasks and providing a competitive edge in threat detection and response. ## Prerequisites To effectively utilize the Hero AI connector within Swimlane, ensure you have the following prerequisites: - Personal Access Token authentication with the following parameters: - URL: Endpoint for Hero AI API services. - PAT: Your unique Personal Access Token for secure access. - Account ID: Identifier for your specific Hero AI account. - Tenant ID: Identifier for your tenant within Hero AI. ## PAT Authentication **Personal access token** along with **Account ID** and **Tenant ID** is required to authenticate **Swimlane Hero AI** connector. ## Capabilities This Connector provides the following capabilities: - Call LLM ### Notes - To Get **PAT(Personal Access Token)** Follow below steps: - Login in **Turbine** using username and password. - Go to **Profile & user settings**( top right corner). - Click on **Personal access token** tab. - Generate the token and use to authenticate. - Swimlane LLM API will be an external API. In order to have better control over the load on this API, this action has been added to used in playbooks. ### Additional Notes - Please pass the **Tenant ID** that is available on your Turbine instance. By default, you can also pass the value of the **Tenant ID** as **1** but it is preferred to pass the correct value of the **Tenant ID** to the asset configuration. # Configurations ## Swimlane Hero AI PAT Authentication Authenticates using Personal Access Token. ### Configuration Parameters | **Parameter** | **Description** | **Type** | **Required** | | ------------- | ---------------------------------- | -------- | ------------ | | url | A URL to the target host. | string | Required | | account\_id | Account ID of the logged in User. | string | Required | | tenant\_id | The Tenant ID. | string | Required | | pat | Personal Access Token | string | Required | | verify\_ssl | Verify SSL certificate | boolean | Optional | | http\_proxy | A proxy to route requests through. | string | Optional | # Actions ## Call LLM Executes a large language model (LLM) within Swimlane playbooks using a provided 'prompt' to enhance automation capabilities. ### Input | **Argument Name** | **Type** | **Required** | **Description** | | ----------------- | -------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------- | | `prompt` | string | Optional | Parameter for Call LLM | | `temperature` | number | Optional | The sampling temperature to use. Range is between 0 and 2. Both limits are exclusive (parameter cannot be set equal to 0 or 2). | | `max_tokens` | number | Optional | Range is between 1 and 4096. Both limits are inclusive (parameter can be set to 1 or 4096). | ### Input Example `{"json_body":{"prompt":"Tell me about swimlane.","temperature":0.1,"max_tokens":1024}}` ### Output | **Parameter** | **Type** | **Description** | | ---------------- | -------- | -------------------------------- | | `status_code` | number | HTTP status code of the response | | `reason` | string | Response reason phrase | | `request_id` | string | Unique identifier | | `generated_text` | string | Output field: generated\_text | | `finish_reason` | string | Response reason phrase | ### Output Example `{"status_code":200,"response_headers":{"Date":"Fri, 01 Mar 2024 06:26:18 GMT","Content-Type":"application/json; charset=utf-8","Transfer-Encoding":"chunked","Connection":"keep-alive","Vary":"Accept-Encoding","Cache-Control":"no-store","Pragma":"no-cache","X-Frame-Options":"sameorigin","Content-Security-Policy":"frame-ancestors self *.swimlane.app","Strict-Transport-Security":"max-age=31536000; includeSubDomains","Content-Encoding":"gzip"},"reason":"OK","json_body":{"request_id":"1bf002a4-6d28-4c...` # Response Headers | **Header** | **Description** | **Example** | | ------------------------- | ----------------------------------------------------- | ------------------------------------ | | Cache-Control | Directives for caching mechanisms | no-store | | Connection | HTTP response header: Connection | keep-alive | | Content-Encoding | HTTP response header: Content-Encoding | gzip | | Content-Security-Policy | HTTP response header: Content-Security-Policy | frame-ancestors self \*.swimlane.app | | Content-Type | The media type of the resource | application/json; charset=utf-8 | | Date | The date and time at which the message was originated | Fri, 01 Mar 2024 06:26:18 GMT | | Pragma | HTTP response header: Pragma | no-cache | | Strict-Transport-Security | HTTP response header: Strict-Transport-Security | max-age=31536000; includeSubDomains | | Transfer-Encoding | HTTP response header: Transfer-Encoding | chunked | | Vary | HTTP response header: Vary | Accept-Encoding | | X-Frame-Options | HTTP response header: X-Frame-Options | sameorigin |