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POST/api/v1/security/adaptive

Run adaptive security analysis

Adaptive multi-turn red-team session — an attacker agent reads target responses and adapts in real time. Target is called with the org's BYOK key for target_provider. Runs synchronously and returns the result inline.

Authentication

Send Authorization: Bearer YOUR_API_KEY on every request. Generate API keys at /dashboard/api-keys.

Request body required

Example

{
  "target_model": "string",
  "target_provider": "<e.g. openai, anthropic, groq, mistral.>",
  "system_prompt": "<Optional target system prompt.>",
  "max_turns": 1,
  "max_rounds": 1,
  "concurrency": 1,
  "strategies": [
    "string"
  ],
  "categories": [
    "string"
  ],
  "success_threshold": 0,
  "timeout_ms": 0,
  "adaptation_speed": "conservative"
}
Schema
{
  "application/json": {
    "schema": {
      "type": "object",
      "required": [
        "target_model",
        "target_provider"
      ],
      "properties": {
        "target_model": {
          "type": "string",
          "maxLength": 100
        },
        "target_provider": {
          "type": "string",
          "maxLength": 100,
          "description": "e.g. openai, anthropic, groq, mistral."
        },
        "system_prompt": {
          "type": "string",
          "description": "Optional target system prompt."
        },
        "max_turns": {
          "type": "integer",
          "minimum": 1,
          "maximum": 15,
          "description": "Conversation turns per session."
        },
        "max_rounds": {
          "type": "integer",
          "minimum": 1,
          "maximum": 20,
          "description": "Attack rounds/sessions."
        },
        "concurrency": {
          "type": "integer",
          "minimum": 1,
          "maximum": 5
        },
        "strategies": {
          "type": "array",
          "maxItems": 10,
          "items": {
            "type": "string"
          }
        },
        "categories": {
          "type": "array",
          "maxItems": 10,
          "items": {
            "type": "string"
          }
        },
        "success_threshold": {
          "type": "number",
          "description": "0–1 success score threshold."
        },
        "timeout_ms": {
          "type": "integer",
          "description": "Timeout in ms."
        },
        "adaptation_speed": {
          "type": "string",
          "enum": [
            "conservative",
            "moderate",
            "aggressive"
          ]
        }
      }
    }
  }
}

Response

200 example

{
  "success": true
}

All status codes

200Adaptive red-team result.
400(no description)
401(no description)
403Forbidden — not an org member (NOT_ORG_MEMBER).
429(no description)

Code samples

cURL

curl -X POST \
  https://evalguard.ai/api/v1/security/adaptive \
  -H "Authorization: Bearer $EVALGUARD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "target_model": "string", "target_provider": "<e.g. openai, anthropic, groq, mistral.>", "system_prompt": "<Optional target system prompt.>", "max_turns": 1, "max_rounds": 1, "concurrency": 1, "strategies": [ "string" ], "categories": [ "string" ], "success_threshold": 0, "timeout_ms": 0, "adaptation_speed": "conservative" }'

TypeScript

import { EvalGuard } from "@evalguard/sdk";

const client = new EvalGuard({ apiKey: process.env.EVALGUARD_API_KEY });

const response = await client.request({
  method: "POST",
  path: "/api/v1/security/adaptive",
  body: {
    "target_model": "string",
    "target_provider": "<e.g. openai, anthropic, groq, mistral.>",
    "system_prompt": "<Optional target system prompt.>",
    "max_turns": 1,
    "max_rounds": 1,
    "concurrency": 1,
    "strategies": [
      "string"
    ],
    "categories": [
      "string"
    ],
    "success_threshold": 0,
    "timeout_ms": 0,
    "adaptation_speed": "conservative"
  },
});
console.log(response);

Python

from evalguard import EvalGuard
import os

client = EvalGuard(api_key=os.environ["EVALGUARD_API_KEY"])

response = client.request(
    method="POST",
    path="/api/v1/security/adaptive",
    body={
    "target_model": "string",
    "target_provider": "<e.g. openai, anthropic, groq, mistral.>",
    "system_prompt": "<Optional target system prompt.>",
    "max_turns": 1,
    "max_rounds": 1,
    "concurrency": 1,
    "strategies": [
        "string"
    ],
    "categories": [
        "string"
    ],
    "success_threshold": 0,
    "timeout_ms": 0,
    "adaptation_speed": "conservative"
},
)
print(response)

Go

package main

import (
	"context"
	"fmt"
	"net/http"
	"os"
	"strings"
)

func main() {
	body := strings.NewReader(`{"target_model":"string","target_provider":"<e.g. openai, anthropic, groq, mistral.>","system_prompt":"<Optional target system prompt.>","max_turns":1,"max_rounds":1,"concurrency":1,"strategies":["string"],"categories":["string"],"success_threshold":0,"timeout_ms":0,"adaptation_speed":"conservative"}`)
	req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/security/adaptive", body)
	req.Header.Set("Authorization", "Bearer "+os.Getenv("EVALGUARD_API_KEY"))
	req.Header.Set("Content-Type", "application/json")
	resp, err := http.DefaultClient.Do(req)
	if err != nil { panic(err) }
	defer resp.Body.Close()
	fmt.Println(resp.Status)
}

Errors

400401403429

Other Security endpoints