Akto

Using Akto with Portkey
1. Add Akto Credentials to Portkey
2. Add Akto’s Guardrail Check
3. Add Guardrail ID to a Config and Make Your Request
Get Support

Akto provides advanced threat detection and security scanning for your AI applications, protecting against prompt injection, sensitive data leakage, and other LLM security threats. To get started with Akto, visit their website:

Get Started with Akto

Using Akto with Portkey

1. Add Akto Credentials to Portkey

Click on the Admin Settings button on Sidebar
Navigate to Plugins tab under Organisation Settings
Click on the edit button for the Akto integration
Add your Akto API Key and API Domain (obtain these from your Akto account)

2. Add Akto’s Guardrail Check

Navigate to the Guardrails page and click the Create button
Search for “Akto Guardrail” and click Add
Set any actions you want on your check, and create the Guardrail!

Guardrail Actions allow you to orchestrate your guardrails logic. You can learn more about them here

Check Name	Description	Parameters	Supported Hooks
Akto Guardrail	Scans and validates LLM inputs and outputs for security threats	None	`beforeRequestHook`, `afterRequestHook`

3. Add Guardrail ID to a Config and Make Your Request

When you save a Guardrail, you’ll get an associated Guardrail ID - add this ID to the before_request_hooks or after_request_hooks params in your Portkey Config
Create these Configs in Portkey UI, save them, and get an associated Config ID to attach to your requests. More here.

Here’s an example configuration:

{
  "input_guardrails": ["guardrails-id-xxx"],
  "output_guardrails": ["guardrails-id-yyy"],
}

NodeJS
Python
OpenAI NodeJS
OpenAI Python
cURL

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    config: "pc-***" // Supports a string config id or a config object
});

portkey = Portkey(
    api_key="PORTKEY_API_KEY",
    config="pc-***" # Supports a string config id or a config object
)

const openai = new OpenAI({
  apiKey: 'OPENAI_API_KEY',
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    apiKey: "PORTKEY_API_KEY",
    config: "CONFIG_ID"
  })
});

client = OpenAI(
    api_key="OPENAI_API_KEY", # defaults to os.environ.get("OPENAI_API_KEY")
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        provider="openai",
        api_key="PORTKEY_API_KEY", # defaults to os.environ.get("PORTKEY_API_KEY")
        config="CONFIG_ID"
    )
)

curl https://api.portkey.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-config: $CONFIG_ID" \
  -d '{
    "model": "gpt-3.5-turbo",
    "messages": [{
        "role": "user",
        "content": "Hello!"
      }]
  }'

For more, refer to the Config documentation. Your requests are now guarded by Akto’s security scanning, and you can see the verdict and any actions taken directly in your Portkey logs!

Get Support

If you face any issues with the Akto integration, join the Portkey community forum for assistance.

Last modified on March 6, 2026

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MCP Servers

Get Started with Akto

Using Akto with Portkey

1. Add Akto Credentials to Portkey

2. Add Akto’s Guardrail Check

3. Add Guardrail ID to a Config and Make Your Request

Get Support

Ecosystem

LLM Integrations

Cloud Platforms

Guardrails

Plugins

Vector Databases

Agents

AI Apps

Libraries

Tracing Providers

MCP Clients

MCP Servers

Get Started with Akto

​Using Akto with Portkey

​1. Add Akto Credentials to Portkey

​2. Add Akto’s Guardrail Check

​3. Add Guardrail ID to a Config and Make Your Request

​Get Support

Using Akto with Portkey

1. Add Akto Credentials to Portkey

2. Add Akto’s Guardrail Check

3. Add Guardrail ID to a Config and Make Your Request

Get Support