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GET
/
v1
/
evals
/
agent-templates
List Eval Agent Templates
curl --request GET \
  --url https://api.bland.ai/v1/evals/agent-templates \
  --header 'authorization: <authorization>'
{
  "data": {
    "object": "list",
    "data": [
      {
        "key": "hallucination_detection",
        "name": "Hallucination Detection",
        "description": "Detects factual inaccuracies or fabricated information in agent responses.",
        "category": "quality",
        "modality": "text",
        "system_prompt_md": "You are an expert evaluator assessing whether an AI agent fabricated information.",
        "prompt_md": "Review the conversation and determine whether the agent stated anything that was factually incorrect or unsupported.",
        "levels": [
          {
            "level_key": "no_hallucination",
            "label": "No Hallucination",
            "prompt_md": "The agent made no factually incorrect or unsupported claims.",
            "color": "emerald"
          },
          {
            "level_key": "minor_hallucination",
            "label": "Minor Hallucination",
            "prompt_md": "The agent made one or more small inaccuracies that did not materially mislead the user.",
            "color": "amber"
          }
        ],
        "target_level_keys": ["no_hallucination"]
      },
      {
        "key": "call_resolution",
        "name": "Call Resolution",
        "description": "Assesses whether the agent successfully resolved the caller's issue.",
        "category": "support",
        "modality": "audio",
        "system_prompt_md": "You are an expert evaluator assessing call resolution quality.",
        "prompt_md": "Did the agent fully resolve the caller's stated issue before ending the call?",
        "levels": [
          {
            "level_key": "resolved",
            "label": "Resolved",
            "prompt_md": "The caller's issue was fully addressed.",
            "color": "emerald"
          },
          {
            "level_key": "unresolved",
            "label": "Unresolved",
            "prompt_md": "The caller's issue was not addressed or was left open.",
            "color": "rose"
          }
        ],
        "target_level_keys": ["resolved"]
      }
    ],
    "has_more": false,
    "next_cursor": null
  },
  "errors": null
}

Headers

authorization
string
required
Your API key for authentication.

Response

object
string
Always list.
data
array
Array of eval agent template objects.
has_more
boolean
Always false. This endpoint returns the full library in a single page.
next_cursor
string
Always null for this endpoint.
{
  "data": {
    "object": "list",
    "data": [
      {
        "key": "hallucination_detection",
        "name": "Hallucination Detection",
        "description": "Detects factual inaccuracies or fabricated information in agent responses.",
        "category": "quality",
        "modality": "text",
        "system_prompt_md": "You are an expert evaluator assessing whether an AI agent fabricated information.",
        "prompt_md": "Review the conversation and determine whether the agent stated anything that was factually incorrect or unsupported.",
        "levels": [
          {
            "level_key": "no_hallucination",
            "label": "No Hallucination",
            "prompt_md": "The agent made no factually incorrect or unsupported claims.",
            "color": "emerald"
          },
          {
            "level_key": "minor_hallucination",
            "label": "Minor Hallucination",
            "prompt_md": "The agent made one or more small inaccuracies that did not materially mislead the user.",
            "color": "amber"
          }
        ],
        "target_level_keys": ["no_hallucination"]
      },
      {
        "key": "call_resolution",
        "name": "Call Resolution",
        "description": "Assesses whether the agent successfully resolved the caller's issue.",
        "category": "support",
        "modality": "audio",
        "system_prompt_md": "You are an expert evaluator assessing call resolution quality.",
        "prompt_md": "Did the agent fully resolve the caller's stated issue before ending the call?",
        "levels": [
          {
            "level_key": "resolved",
            "label": "Resolved",
            "prompt_md": "The caller's issue was fully addressed.",
            "color": "emerald"
          },
          {
            "level_key": "unresolved",
            "label": "Unresolved",
            "prompt_md": "The caller's issue was not addressed or was left open.",
            "color": "rose"
          }
        ],
        "target_level_keys": ["resolved"]
      }
    ],
    "has_more": false,
    "next_cursor": null
  },
  "errors": null
}

Docs for agents: llms.txt