openapi.json

{
  "openapi": "3.0.0",
  "info": {
    "title": "Traceloop API",
    "version": "1.0.0",
    "contact": {}
  },
  "paths": {
    "/v2/auto-monitor-setups": {
      "get": {
        "description": "List all auto monitor setups for the organization with optional filters",
        "parameters": [
          {
            "description": "Filter by status (e.g., pending, completed)",
            "in": "query",
            "name": "status",
            "schema": {
              "type": "string"
            }
          },
          {
            "description": "Filter by external ID",
            "in": "query",
            "name": "external_id",
            "schema": {
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "items": {
                    "$ref": "#/components/schemas/response.AutoMonitorSetupResponse"
                  },
                  "type": "array"
                }
              }
            }
          },
          "500": {
            "description": "Internal error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "List auto monitor setups",
        "tags": [
          "auto-monitor-setups"
        ]
      },
      "post": {
        "description": "Create a new auto monitor setup for automatic monitor creation.\n\nThe `selector` field is a map of span attribute key-value pairs used to filter which spans\nthis monitor applies to. Keys are span attribute names and values can be strings, numbers, or booleans.\n\nCommon selector keys:\n- `gen_ai.system` — LLM provider (e.g. \"openai\", \"anthropic\")\n- `gen_ai.request.model` — model name (e.g. \"gpt-4o\", \"claude-3-5-sonnet\")\n- `gen_ai.request.max_tokens` — max tokens (number)\n- Any other span attribute from your traces",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.CreateAutoMonitorSetupInput"
              }
            }
          },
          "description": "Auto monitor setup configuration",
          "required": true
        },
        "responses": {
          "201": {
            "description": "Created",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AutoMonitorSetupResponse"
                }
              }
            }
          },
          "400": {
            "description": "Invalid input",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Create an auto monitor setup",
        "tags": [
          "auto-monitor-setups"
        ]
      }
    },
    "/v2/auto-monitor-setups/{external_id}": {
      "delete": {
        "description": "Delete an auto monitor setup by its external ID",
        "parameters": [
          {
            "description": "Auto monitor setup external ID",
            "in": "path",
            "name": "external_id",
            "required": true,
            "schema": {
              "type": "string"
            }
          }
        ],
        "responses": {
          "204": {
            "description": "No content"
          },
          "404": {
            "description": "Not found",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Delete an auto monitor setup by external ID",
        "tags": [
          "auto-monitor-setups"
        ]
      },
      "get": {
        "description": "Get a specific auto monitor setup by its external ID",
        "parameters": [
          {
            "description": "Auto monitor setup external ID",
            "in": "path",
            "name": "external_id",
            "required": true,
            "schema": {
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AutoMonitorSetupResponse"
                }
              }
            }
          },
          "404": {
            "description": "Not found",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Get an auto monitor setup by external ID",
        "tags": [
          "auto-monitor-setups"
        ]
      },
      "put": {
        "description": "Update an existing auto monitor setup by its external ID",
        "parameters": [
          {
            "description": "Auto monitor setup external ID",
            "in": "path",
            "name": "external_id",
            "required": true,
            "schema": {
              "type": "string"
            }
          }
        ],
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.UpdateAutoMonitorSetupInput"
              }
            }
          },
          "description": "Fields to update",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AutoMonitorSetupResponse"
                }
              }
            }
          },
          "400": {
            "description": "Invalid input",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "404": {
            "description": "Not found",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Update an auto monitor setup by external ID",
        "tags": [
          "auto-monitor-setups"
        ]
      }
    },
    "/v2/evaluators/custom-evaluator": {
      "post": {
        "description": "Create a new custom evaluator at the organization level without project or environment bindings. The evaluator uses LLM-as-a-judge to evaluate inputs based on the provided configuration. The response format is automatically generated from the output schema.",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.CreateCustomEvaluatorInput"
              }
            }
          },
          "description": "Custom evaluator creation input",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.CreateEvaluatorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Create a custom LLM-as-a-judge evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/agent-efficiency": {
      "post": {
        "description": "Evaluate agent efficiency - detect redundant calls, unnecessary follow-ups\n\n**Request Body:**\n- `input.trajectory_prompts` (string, required): JSON array of prompts in the agent trajectory\n- `input.trajectory_completions` (string, required): JSON array of completions in the agent trajectory",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AgentEfficiencyRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AgentEfficiencyResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute agent-efficiency evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/agent-flow-quality": {
      "post": {
        "description": "Validate agent trajectory against user-defined conditions\n\n**Request Body:**\n- `input.trajectory_prompts` (string, required): JSON array of prompts in the agent trajectory\n- `input.trajectory_completions` (string, required): JSON array of completions in the agent trajectory\n- `config.conditions` (array of strings, required): Array of evaluation conditions/rules to validate against\n- `config.threshold` (number, required): Score threshold for pass/fail determination (0.0-1.0)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AgentFlowQualityRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AgentFlowQualityResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute agent-flow-quality evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/agent-goal-accuracy": {
      "post": {
        "description": "Evaluate agent goal accuracy\n\n**Request Body:**\n- `input.question` (string, required): The original question or goal\n- `input.completion` (string, required): The agent's completion/response\n- `input.reference` (string, required): The expected reference answer",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AgentGoalAccuracyRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AgentGoalAccuracyResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute agent-goal-accuracy evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/agent-goal-completeness": {
      "post": {
        "description": "Measure if agent accomplished all user goals\n\n**Request Body:**\n- `input.trajectory_prompts` (string, required): JSON array of prompts in the agent trajectory\n- `input.trajectory_completions` (string, required): JSON array of completions in the agent trajectory\n- `config.threshold` (number, required): Score threshold for pass/fail determination (0.0-1.0)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AgentGoalCompletenessRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AgentGoalCompletenessResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute agent-goal-completeness evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/agent-tool-error-detector": {
      "post": {
        "description": "Detect errors or failures during tool execution\n\n**Request Body:**\n- `input.tool_input` (string, required): JSON string of the tool input\n- `input.tool_output` (string, required): JSON string of the tool output",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AgentToolErrorDetectorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AgentToolErrorDetectorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute agent-tool-error-detector evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/agent-tool-trajectory": {
      "post": {
        "description": "Compare actual tool calls against expected reference tool calls\n\n**Request Body:**\n- `input.executed_tool_calls` (string, required): JSON array of actual tool calls made by the agent\n- `input.expected_tool_calls` (string, required): JSON array of expected/reference tool calls\n- `config.threshold` (float, optional): Score threshold for pass/fail determination (default: 0.5)\n- `config.mismatch_sensitive` (bool, optional): Whether tool calls must match exactly (default: false)\n- `config.order_sensitive` (bool, optional): Whether order of tool calls matters (default: false)\n- `config.input_params_sensitive` (bool, optional): Whether to compare input parameters (default: true)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AgentToolTrajectoryRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AgentToolTrajectoryResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute agent-tool-trajectory evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/answer-completeness": {
      "post": {
        "description": "Evaluate whether the answer is complete and contains all the necessary information\n\n**Request Body:**\n- `input.question` (string, required): The original question\n- `input.completion` (string, required): The completion to evaluate for completeness\n- `input.context` (string, required): The context that provides the complete information",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AnswerCompletenessRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AnswerCompletenessResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute answer-completeness evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/answer-correctness": {
      "post": {
        "description": "Evaluate factual accuracy by comparing answers against ground truth\n\n**Request Body:**\n- `input.question` (string, required): The original question\n- `input.completion` (string, required): The completion to evaluate\n- `input.ground_truth` (string, required): The expected correct answer",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AnswerCorrectnessRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AnswerCorrectnessResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute answer-correctness evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/answer-relevancy": {
      "post": {
        "description": "Check if an answer is relevant to a question\n\n**Request Body:**\n- `input.answer` (string, required): The answer to evaluate for relevancy\n- `input.question` (string, required): The question that the answer should be relevant to",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.AnswerRelevancyRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.AnswerRelevancyResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute answer-relevancy evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/char-count": {
      "post": {
        "description": "Count the number of characters in text\n\n**Request Body:**\n- `input.text` (string, required): The text to count characters in",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.CharCountRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.CharCountResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute char-count evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/char-count-ratio": {
      "post": {
        "description": "Calculate the ratio of characters between two texts\n\n**Request Body:**\n- `input.numerator_text` (string, required): The numerator text (will be divided by denominator)\n- `input.denominator_text` (string, required): The denominator text (divides the numerator)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.CharCountRatioRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.CharCountRatioResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute char-count-ratio evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/context-relevance": {
      "post": {
        "description": "Evaluate whether retrieved context contains sufficient information to answer the query\n\n**Request Body:**\n- `input.query` (string, required): The query/question to evaluate context relevance for\n- `input.completion` (string, required): The completion to evaluate for context relevance\n- `input.context` (string, required): The context to evaluate for relevance to the query\n- `config.model` (string, optional): Model to use for evaluation (default: gpt-4o)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.ContextRelevanceRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ContextRelevanceResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute context-relevance evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/conversation-quality": {
      "post": {
        "description": "Evaluate conversation quality based on tone, clarity, flow, responsiveness, and transparency\n\n**Request Body:**\n- `input.prompts` (string, required): JSON array of prompts in the conversation\n- `input.completions` (string, required): JSON array of completions in the conversation",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.ConversationQualityRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ConversationQualityResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute conversation-quality evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/faithfulness": {
      "post": {
        "description": "Check if a completion is faithful to the provided context\n\n**Request Body:**\n- `input.completion` (string, required): The LLM completion to check for faithfulness\n- `input.context` (string, required): The context that the completion should be faithful to\n- `input.question` (string, required): The original question asked",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.FaithfulnessRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.FaithfulnessResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute faithfulness evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/html-comparison": {
      "post": {
        "description": "Compare two HTML documents for structural and content similarity\n\n**Request Body:**\n- `input.html1` (string, required): The first HTML document to compare\n- `input.html2` (string, required): The second HTML document to compare",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.HtmlComparisonRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.HtmlComparisonResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute html-comparison evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/instruction-adherence": {
      "post": {
        "description": "Evaluate how well responses follow given instructions\n\n**Request Body:**\n- `input.instructions` (string, required): The instructions that should be followed\n- `input.response` (string, required): The response to evaluate for instruction adherence",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.InstructionAdherenceRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.InstructionAdherenceResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute instruction-adherence evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/intent-change": {
      "post": {
        "description": "Detect changes in user intent between prompts and completions\n\n**Request Body:**\n- `input.prompts` (string, required): JSON array of prompts in the conversation\n- `input.completions` (string, required): JSON array of completions in the conversation",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.IntentChangeRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.IntentChangeResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute intent-change evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/json-validator": {
      "post": {
        "description": "Validate JSON syntax\n\n**Request Body:**\n- `input.text` (string, required): The text to validate as JSON\n- `config.enable_schema_validation` (bool, optional): Enable JSON schema validation\n- `config.schema_string` (string, optional): JSON schema to validate against",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.JSONValidatorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.JSONValidatorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute json-validator evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/perplexity": {
      "post": {
        "description": "Measure text perplexity from logprobs\n\n**Request Body:**\n- `input.logprobs` (string, required): JSON array of log probabilities from the model",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.PerplexityRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.PerplexityResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute perplexity evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/pii-detector": {
      "post": {
        "description": "Detect personally identifiable information in text\n\n**Request Body:**\n- `input.text` (string, required): The text to scan for personally identifiable information\n- `config.probability_threshold` (float, optional): Detection threshold (default: 0.8)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.PIIDetectorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.PIIDetectorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute pii-detector evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/placeholder-regex": {
      "post": {
        "description": "Validate text against a placeholder regex pattern\n\n**Request Body:**\n- `input.placeholder_name` (string, required): The name of the placeholder to substitute\n- `input.placeholder_value` (string, required): The value to substitute into the regex placeholder\n- `input.text` (string, required): The text to validate against the regex pattern\n- `config.should_match` (bool, optional): Whether the text should match the regex\n- `config.case_sensitive` (bool, optional): Case-sensitive matching\n- `config.dot_include_nl` (bool, optional): Dot matches newlines\n- `config.multi_line` (bool, optional): Multi-line mode",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.PlaceholderRegexRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.PlaceholderRegexResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute placeholder-regex evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/profanity-detector": {
      "post": {
        "description": "Detect profanity in text\n\n**Request Body:**\n- `input.text` (string, required): The text to scan for profanity",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.ProfanityDetectorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ProfanityDetectorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute profanity-detector evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/prompt-injection": {
      "post": {
        "description": "Detect prompt injection attempts\n\n**Request Body:**\n- `input.prompt` (string, required): The prompt to check for injection attempts\n- `config.threshold` (float, optional): Detection threshold (default: 0.5)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.PromptInjectionRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.PromptInjectionResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute prompt-injection evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/prompt-perplexity": {
      "post": {
        "description": "Measure prompt perplexity to detect potential injection attempts\n\n**Request Body:**\n- `input.prompt` (string, required): The prompt to calculate perplexity for",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.PromptPerplexityRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.PromptPerplexityResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute prompt-perplexity evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/regex-validator": {
      "post": {
        "description": "Validate text against a regex pattern\n\n**Request Body:**\n- `input.text` (string, required): The text to validate against a regex pattern\n- `config.regex` (string, optional): The regex pattern to match against\n- `config.should_match` (bool, optional): Whether the text should match the regex\n- `config.case_sensitive` (bool, optional): Case-sensitive matching\n- `config.dot_include_nl` (bool, optional): Dot matches newlines\n- `config.multi_line` (bool, optional): Multi-line mode",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.RegexValidatorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.RegexValidatorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute regex-validator evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/secrets-detector": {
      "post": {
        "description": "Detect secrets and credentials in text\n\n**Request Body:**\n- `input.text` (string, required): The text to scan for secrets (API keys, passwords, etc.)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.SecretsDetectorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.SecretsDetectorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute secrets-detector evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/semantic-similarity": {
      "post": {
        "description": "Calculate semantic similarity between completion and reference\n\n**Request Body:**\n- `input.completion` (string, required): The completion text to compare\n- `input.reference` (string, required): The reference text to compare against",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.SemanticSimilarityRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.SemanticSimilarityResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute semantic-similarity evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/sexism-detector": {
      "post": {
        "description": "Detect sexist language and bias\n\n**Request Body:**\n- `input.text` (string, required): The text to scan for sexist content\n- `config.threshold` (float, optional): Detection threshold (default: 0.5)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.SexismDetectorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.SexismDetectorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute sexism-detector evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/sql-validator": {
      "post": {
        "description": "Validate SQL query syntax\n\n**Request Body:**\n- `input.text` (string, required): The text to validate as SQL",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.SQLValidatorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.SQLValidatorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute sql-validator evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/tone-detection": {
      "post": {
        "description": "Detect the tone of the text\n\n**Request Body:**\n- `input.text` (string, required): The text to detect the tone of",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.ToneDetectionRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ToneDetectionResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute tone-detection evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/topic-adherence": {
      "post": {
        "description": "Evaluate topic adherence\n\n**Request Body:**\n- `input.question` (string, required): The original question\n- `input.completion` (string, required): The completion to evaluate\n- `input.reference_topics` (string, required): Comma-separated list of expected topics",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.TopicAdherenceRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.TopicAdherenceResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute topic-adherence evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/toxicity-detector": {
      "post": {
        "description": "Detect toxic or harmful language\n\n**Request Body:**\n- `input.text` (string, required): The text to scan for toxic content\n- `config.threshold` (float, optional): Detection threshold (default: 0.5)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.ToxicityDetectorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ToxicityDetectorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute toxicity-detector evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/uncertainty-detector": {
      "post": {
        "description": "Detect uncertainty in the text\n\n**Request Body:**\n- `input.prompt` (string, required): The text to detect uncertainty in",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.UncertaintyDetectorRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.UncertaintyDetectorResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute uncertainty-detector evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/word-count": {
      "post": {
        "description": "Count the number of words in text\n\n**Request Body:**\n- `input.text` (string, required): The text to count words in",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.WordCountRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.WordCountResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute word-count evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/evaluators/execute/word-count-ratio": {
      "post": {
        "description": "Calculate the ratio of words between two texts\n\n**Request Body:**\n- `input.numerator_text` (string, required): The numerator text (will be divided by denominator)\n- `input.denominator_text` (string, required): The denominator text (divides the numerator)",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.WordCountRatioRequest"
              }
            }
          },
          "description": "Request body",
          "required": true
        },
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.WordCountRatioResponse"
                }
              }
            }
          },
          "400": {
            "description": "Bad Request",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal Server Error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "security": [
          {
            "BearerAuth": []
          }
        ],
        "summary": "Execute word-count-ratio evaluator",
        "tags": [
          "evaluators"
        ]
      }
    },
    "/v2/metrics": {
      "post": {
        "description": "Retrieves metrics data with support for filtering, sorting, and pagination. Metrics are grouped by metric name with individual data points. Supports filtering by direct column fields (bool_value, trace_id, etc.), label fields (labels.agent_name, labels.trace_id), and attribute fields (attributes.*).",
        "operationId": "get-metrics",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.GetMetricsRequest"
              }
            }
          },
          "description": "Metrics query parameters including filters, environments, and pagination",
          "required": true
        },
        "responses": {
          "200": {
            "description": "Grouped metrics with data points",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.GetMetricsResponse"
                }
              }
            }
          },
          "400": {
            "description": "Invalid request parameters",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "404": {
            "description": "Not Found",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal server error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Get metrics with filtering and grouping",
        "tags": [
          "metrics"
        ]
      }
    },
    "/v2/metrics_hwm": {
      "get": {
        "description": "Returns the timestamp of the last successfully processed evaluation (high water mark)",
        "operationId": "get-metrics-hwm",
        "responses": {
          "200": {
            "description": "High water mark timestamp in milliseconds",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.MetricsHWMResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal server error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Get metrics high water mark",
        "tags": [
          "metrics"
        ]
      }
    },
    "/v2/organizations": {
      "post": {
        "description": "Create a new organization with environments and API keys.",
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/request.CreateOrganizationRequest"
              }
            }
          },
          "description": "Organization creation request",
          "required": true
        },
        "responses": {
          "201": {
            "description": "Created",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.CreateOrganizationResponse"
                }
              }
            }
          },
          "400": {
            "description": "Invalid request body or validation error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "403": {
            "description": "Not allowed to create organizations",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          },
          "500": {
            "description": "Internal server error",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/response.ErrorResponse"
                }
              }
            }
          }
        },
        "summary": "Create a new organization",
        "tags": [
          "organizations"
        ]
      }
    }
  },
  "servers": [
    {
      "url": "https://api.traceloop.com"
    }
  ],
  "components": {
    "securitySchemes": {
      "BearerAuth": {
        "description": "Type \"Bearer\" followed by a space and JWT token.",
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    },
    "schemas": {
      "evaluator.Property": {
        "properties": {
          "description": {
            "type": "string"
          },
          "enum_values": {
            "description": "The allowed values for this property. Only applicable when `type` is `enum`.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "label": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "type": {
            "$ref": "#/components/schemas/evaluator.PropertyType"
          }
        },
        "required": [
          "name",
          "type"
        ],
        "type": "object"
      },
      "evaluator.PropertyType": {
        "enum": [
          "string",
          "int",
          "float",
          "boolean",
          "enum"
        ],
        "type": "string",
        "x-enum-varnames": [
          "StringType",
          "IntType",
          "FloatType",
          "BooleanType",
          "EnumType"
        ]
      },
      "model.LLMMessage": {
        "properties": {
          "content": {
            "type": "string"
          },
          "role": {
            "type": "string"
          },
          "tool_call_id": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "request.AgentEfficiencyInput": {
        "properties": {
          "trajectory_completions": {
            "example": "[\"User found\", \"Email updated\", \"Changes saved\"]",
            "type": "string"
          },
          "trajectory_prompts": {
            "example": "[\"Find user info\", \"Update email\", \"Save changes\"]",
            "type": "string"
          }
        },
        "required": [
          "trajectory_completions",
          "trajectory_prompts"
        ],
        "type": "object"
      },
      "request.AgentEfficiencyRequest": {
        "properties": {
          "input": {
            "$ref": "#/components/schemas/request.AgentEfficiencyInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "request.AgentFlowQualityConfigRequest": {
        "properties": {
          "conditions": {
            "example": [
              "no tools called",
              "agent completed task"
            ],
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "threshold": {
            "example": 0.5,
            "type": "number"
          }
        },
        "required": [
          "conditions",
          "threshold"
        ],
        "type": "object"
      },
      "request.AgentFlowQualityInput": {
        "properties": {
          "trajectory_completions": {
            "example": "[\"Found 5 flights\", \"Selected $299 flight\", \"Booking confirmed\"]",
            "type": "string"
          },
          "trajectory_prompts": {
            "example": "[\"Search for flights\", \"Select the cheapest option\", \"Confirm booking\"]",
            "type": "string"
          }
        },
        "required": [
          "trajectory_completions",
          "trajectory_prompts"
        ],
        "type": "object"
      },
      "request.AgentFlowQualityRequest": {
        "properties": {
          "config": {
            "$ref": "#/components/schemas/request.AgentFlowQualityConfigRequest"
          },
          "input": {
            "$ref": "#/components/schemas/request.AgentFlowQualityInput"
          }
        },
        "required": [
          "config",
          "input"
        ],
        "type": "object"
      },
      "request.AgentGoalAccuracyInput": {
        "properties": {
          "completion": {
            "example": "I have booked your flight from New York to Los Angeles departing Monday at 9am.",
            "type": "string"
          },
          "question": {
            "example": "Book a flight from NYC to LA for next Monday",
            "type": "string"
          },
          "reference": {
            "example": "Flight booked: NYC to LA, Monday departure",
            "type": "string"
          }
        },
        "required": [
          "completion",
          "question",
          "reference"
        ],
        "type": "object"
      },
      "request.AgentGoalAccuracyRequest": {
        "properties": {
          "input": {
            "$ref": "#/components/schemas/request.AgentGoalAccuracyInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "request.AgentGoalCompletenessConfigRequest": {
        "properties": {
          "threshold": {
            "example": 0.5,
            "type": "number"
          }
        },
        "required": [
          "threshold"
        ],
        "type": "object"
      },
      "request.AgentGoalCompletenessInput": {
        "properties": {
          "trajectory_completions": {
            "example": "[\"Account created\", \"Preferences saved\", \"Notifications enabled\"]",
            "type": "string"
          },
          "trajectory_prompts": {
            "example": "[\"Create new account\", \"Set preferences\", \"Enable notifications\"]",
            "type": "string"
          }
        },
        "required": [
          "trajectory_completions",
          "trajectory_prompts"
        ],
        "type": "object"
      },
      "request.AgentGoalCompletenessRequest": {
        "properties": {
          "config": {
            "$ref": "#/components/schemas/request.AgentGoalCompletenessConfigRequest"
          },
          "input": {
            "$ref": "#/components/schemas/request.AgentGoalCompletenessInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "request.AgentToolErrorDetectorInput": {
        "properties": {
          "tool_input": {
            "example": "{\"action\": \"search\", \"query\": \"flights to Paris\"}",
            "type": "string"
          },
          "tool_output": {
            "example": "{\"status\": \"success\", \"results\": [{\"flight\": \"AF123\", \"price\": 450}]}",
            "type": "string"
          }
        },
        "required": [
          "tool_input",
          "tool_output"
        ],
        "type": "object"
      },
      "request.AgentToolErrorDetectorRequest": {
        "properties": {
          "input": {
            "$ref": "#/components/schemas/request.AgentToolErrorDetectorInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "request.AgentToolTrajectoryConfigRequest": {
        "properties": {
          "input_params_sensitive": {
            "example": true,
            "type": "boolean"
          },
          "mismatch_sensitive": {
            "example": false,
            "type": "boolean"
          },
          "order_sensitive": {
            "example": false,
            "type": "boolean"
          },
          "threshold": {
            "example": 0.5,
            "type": "number"
          }
        },
        "type": "object"
      },
      "request.AgentToolTrajectoryInput": {
        "properties": {
          "executed_tool_calls": {
            "example": "[{\"name\": \"search\", \"input\": {\"query\": \"weather\"}}]",
            "type": "string"
          },
          "expected_tool_calls": {
            "example": "[{\"name\": \"search\", \"input\": {\"query\": \"weather\"}}]",
            "type": "string"
          }
        },
        "required": [
          "executed_tool_calls",
          "expected_tool_calls"
        ],
        "type": "object"
      },
      "request.AgentToolTrajectoryRequest": {
        "properties": {
          "config": {
            "$ref": "#/components/schemas/request.AgentToolTrajectoryConfigRequest"
          },
          "input": {
            "$ref": "#/components/schemas/request.AgentToolTrajectoryInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "request.AnswerCompletenessInput": {
        "properties": {
          "completion": {
            "example": "Paris.",
            "type": "string"
          },
          "context": {
            "example": "The capital of France is Paris.",
            "type": "string"
          },
          "question": {
            "example": "What is the capital of France?",
            "type": "string"
          }
        },
        "required": [
          "completion",
          "context",
          "question"
        ],
        "type": "object"
      },
      "request.AnswerCompletenessRequest": {
        "properties": {
          "input": {
            "$ref": "#/components/schemas/request.AnswerCompletenessInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "request.AnswerCorrectnessInput": {
        "properties": {
          "completion": {
            "example": "World War II ended in 1945.",
            "type": "string"
          },
          "ground_truth": {
            "example": "1945",
            "type": "string"
          },
          "question": {
            "example": "What year did World War II end?",
            "type": "string"
          }
        },
        "required": [
          "completion",
          "ground_truth",
          "question"
        ],
        "type": "object"
      },
      "request.AnswerCorrectnessRequest": {
        "properties": {
          "input": {
            "$ref": "#/components/schemas/request.AnswerCorrectnessInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
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            "example": "This is a sample text with several words.",
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "request.WordCountRatioInput": {
        "properties": {
          "denominator_text": {
            "example": "This is a longer input text for comparison",
            "type": "string"
          },
          "numerator_text": {
            "example": "Short response",
            "type": "string"
          }
        },
        "required": [
          "denominator_text",
          "numerator_text"
        ],
        "type": "object"
      },
      "request.WordCountRatioRequest": {
        "properties": {
          "input": {
            "$ref": "#/components/schemas/request.WordCountRatioInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "request.WordCountRequest": {
        "properties": {
          "input": {
            "$ref": "#/components/schemas/request.WordCountInput"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "response.AgentEfficiencyResponse": {
        "properties": {
          "step_efficiency_reason": {
            "example": "Agent completed task with minimal redundant steps",
            "type": "string"
          },
          "step_efficiency_score": {
            "example": 0.85,
            "type": "number"
          },
          "task_completion_reason": {
            "example": "All required tasks were completed successfully",
            "type": "string"
          },
          "task_completion_score": {
            "example": 0.92,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.AgentFlowQualityResponse": {
        "properties": {
          "reason": {
            "example": "Agent followed the expected flow correctly",
            "type": "string"
          },
          "score": {
            "example": 0.89,
            "type": "number"
          },
          "success": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.AgentGoalAccuracyResponse": {
        "properties": {
          "accuracy_score": {
            "example": 0.88,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.AgentGoalCompletenessResponse": {
        "properties": {
          "reason": {
            "example": "All user goals were accomplished",
            "type": "string"
          },
          "score": {
            "example": 0.95,
            "type": "number"
          },
          "success": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.AgentToolErrorDetectorResponse": {
        "properties": {
          "reason": {
            "example": "Tool executed successfully without errors",
            "type": "string"
          },
          "success": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.AgentToolTrajectoryResponse": {
        "properties": {
          "reason": {
            "example": "Tool calls match the expected trajectory",
            "type": "string"
          },
          "score": {
            "example": 0.85,
            "type": "number"
          },
          "success": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.AnswerCompletenessResponse": {
        "properties": {
          "answer_completeness_score": {
            "example": 0.95,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.AnswerCorrectnessResponse": {
        "properties": {
          "correctness_score": {
            "example": 0.91,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.AnswerRelevancyResponse": {
        "properties": {
          "is_relevant": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.AutoMonitorEvaluatorResponse": {
        "properties": {
          "binding_id": {
            "type": "string"
          },
          "error_message": {
            "type": "string"
          },
          "evaluator_id": {
            "type": "string"
          },
          "evaluator_type": {
            "type": "string"
          },
          "input_schema": {
            "items": {
              "$ref": "#/components/schemas/evaluator.Property"
            },
            "type": "array"
          },
          "output_schema": {
            "items": {
              "$ref": "#/components/schemas/evaluator.Property"
            },
            "type": "array"
          },
          "processed_at": {
            "type": "string"
          },
          "status": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "response.AutoMonitorSetupResponse": {
        "properties": {
          "created_at": {
            "type": "string"
          },
          "env_project_id": {
            "type": "string"
          },
          "evaluators": {
            "items": {
              "$ref": "#/components/schemas/response.AutoMonitorEvaluatorResponse"
            },
            "type": "array"
          },
          "external_id": {
            "type": "string"
          },
          "id": {
            "type": "string"
          },
          "init_rules": {
            "items": {
              "$ref": "#/components/schemas/types.Rule"
            },
            "type": "array"
          },
          "org_id": {
            "type": "string"
          },
          "project_id": {
            "type": "string"
          },
          "status": {
            "type": "string"
          },
          "updated_at": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "response.CharCountRatioResponse": {
        "properties": {
          "char_ratio": {
            "example": 0.75,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.CharCountResponse": {
        "properties": {
          "char_count": {
            "example": 42,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "response.ContextRelevanceResponse": {
        "properties": {
          "relevance_score": {
            "example": 0.88,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.ConversationQualityResponse": {
        "properties": {
          "conversation_quality_score": {
            "example": 0.82,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.CreateEvaluatorResponse": {
        "properties": {
          "bindings": {
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "evaluator_id": {
            "type": "string"
          },
          "slug": {
            "type": "string"
          },
          "type": {
            "$ref": "#/components/schemas/types.EvaluatorType"
          },
          "version_id": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "response.CreateOrganizationResponse": {
        "properties": {
          "environments": {
            "items": {
              "$ref": "#/components/schemas/response.EnvironmentWithKeyResponse"
            },
            "type": "array"
          },
          "org_id": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "response.EnvironmentWithKeyResponse": {
        "properties": {
          "api_key": {
            "type": "string"
          },
          "slug": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "response.ErrorResponse": {
        "description": "Standard error response structure",
        "properties": {
          "error": {
            "example": "error message",
            "type": "string"
          }
        },
        "type": "object"
      },
      "response.FaithfulnessResponse": {
        "properties": {
          "is_faithful": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.GetMetricsResponse": {
        "properties": {
          "metrics": {
            "$ref": "#/components/schemas/response.PaginatedMetricsResponse"
          }
        },
        "type": "object"
      },
      "response.HtmlComparisonResponse": {
        "properties": {
          "similarity_score": {
            "example": 0.92,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.InstructionAdherenceResponse": {
        "properties": {
          "instruction_adherence_score": {
            "example": 0.87,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.IntentChangeResponse": {
        "properties": {
          "reason": {
            "example": "User intent remained consistent throughout the conversation",
            "type": "string"
          },
          "score": {
            "example": 1,
            "type": "integer"
          },
          "success": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.JSONValidatorResponse": {
        "properties": {
          "is_valid_json": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.MetricGroup": {
        "properties": {
          "metric_name": {
            "type": "string",
            "description": "Metric name.",
            "example": "answer relevancy"
          },
          "organization_id": {
            "type": "string"
          },
          "points": {
            "items": {
              "$ref": "#/components/schemas/response.MetricPoint"
            },
            "type": "array",
            "description": "List of data points for this metric. The `unit` field in each point's `labels` indicates the data type and determines which value field is populated: `bool_value` for booleans, `numeric_value` for numbers, or `enum_value` for strings."
          }
        },
        "type": "object"
      },
      "response.MetricPoint": {
        "description": "A single metric data point. The `unit` field in `labels` indicates the data type and determines which value field is populated: `bool_value` for booleans unitless, `numeric_value` for number units, or `enum_value` for strings.",
        "properties": {
          "bool_value": {
            "type": "boolean"
          },
          "enum_value": {
            "type": "string"
          },
          "numeric_value": {
            "type": "number"
          },
          "event_time": {
            "type": "integer"
          },
          "labels": {
            "description": "The labels are the attributes of the metric point. The labels are key-value pairs that are used to identify the metric point.",
            "example": {
                "agent_name": "Travel Planner Agent",
                "entity_type": "span",
                "env_project_id": "1111",
                "environment": "dev",
                "evaluator_name": "",
                "insert_time": "1772616490000",
                "metric_source": "word_count",
                "metric_type": "numeric",
                "model": "gpt-4o-2024-08-06",
                "org_id": "12345",
                "run_id": "54321",
                "service_name": "travel-agent-demo",
                "span_id": "e118a1985c9cff23",
                "trace_id": "2c98a42d1225cb786f3395d97ca3014d",
                "unit": "words",
                "vendor": "openai"
            },
            "additionalProperties": {
              "type": "string"
            },
            "type": "object"
          }
        },
        "type": "object"
      },
      "response.MetricsHWMResponse": {
        "properties": {
          "high_water_mark": {
            "type": "integer"
          }
        },
        "type": "object"
      },
      "response.PIIDetectorResponse": {
        "properties": {
          "has_pii": {
            "example": false,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.PaginatedMetricsResponse": {
        "properties": {
          "data": {
            "items": {
              "$ref": "#/components/schemas/response.MetricGroup"
            },
            "type": "array"
          },
          "next_cursor": {
            "type": "string"
          },
          "total_points": {
            "type": "integer"
          },
          "total_results": {
            "type": "integer"
          }
        },
        "type": "object"
      },
      "response.PerplexityResponse": {
        "properties": {
          "perplexity_score": {
            "example": 12.5,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.PlaceholderRegexResponse": {
        "properties": {
          "is_valid_regex": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.ProfanityDetectorResponse": {
        "properties": {
          "is_safe": {
            "example": false,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.PromptInjectionResponse": {
        "properties": {
          "has_injection": {
            "example": false,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.PromptPerplexityResponse": {
        "properties": {
          "perplexity_score": {
            "example": 8.3,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.RegexValidatorResponse": {
        "properties": {
          "is_valid_regex": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.SQLValidatorResponse": {
        "properties": {
          "is_valid_sql": {
            "example": true,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.SecretsDetectorResponse": {
        "properties": {
          "has_secret": {
            "example": false,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.SemanticSimilarityResponse": {
        "properties": {
          "similarity_score": {
            "example": 0.92,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.SexismDetectorResponse": {
        "properties": {
          "is_safe": {
            "example": false,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.ToneDetectionResponse": {
        "properties": {
          "score": {
            "example": 0.95,
            "type": "number"
          },
          "tone": {
            "example": "neutral",
            "type": "string"
          }
        },
        "type": "object"
      },
      "response.TopicAdherenceResponse": {
        "properties": {
          "adherence_score": {
            "example": 0.95,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.ToxicityDetectorResponse": {
        "properties": {
          "is_safe": {
            "example": false,
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "response.UncertaintyDetectorResponse": {
        "properties": {
          "answer": {
            "example": "Paris",
            "type": "string"
          },
          "uncertainty": {
            "example": 0.95,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.WordCountRatioResponse": {
        "properties": {
          "word_ratio": {
            "example": 0.85,
            "type": "number"
          }
        },
        "type": "object"
      },
      "response.WordCountResponse": {
        "properties": {
          "word_count": {
            "example": 10,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "shared.FilterCondition": {
        "properties": {
          "field": {
            "type": "string",
            "description": "Field key to filter by. The key is labels attribute on the metric point from the response.metrics object",
            "example": "labels.agent_name"
          },
          "operator": {
            "type": "string",
            "description": "Comparison operator.",
            "enum": [
              "equals",
              "not_equals",
              "contains",
              "not_contains",
              "in",
              "not_in"
            ],
            "example": "equals"
          },
          "value": {
            "type": "string",
            "description": "Value to filter by.",
            "example": "Travel Planner Agent"
          },
          "values": {
            "items": {
              "type": "string"
            },
            "type": "array",
            "description": "List of values to filter by. This is only used for the in and not_in operators.",
            "example": ["Travel Planner Agent", "Calendar Planner Agent"]
          }
        },
        "type": "object"
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      "types.ComparisonOperator": {
        "enum": [
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          "not_equals",
          "contains",
          "not_contains",
          "in",
          "not_in"
        ],
        "type": "string",
        "x-enum-varnames": [
          "ComparisonOperatorEquals",
          "ComparisonOperatorNotEquals",
          "ComparisonOperatorContains",
          "ComparisonOperatorNotContains",
          "ComparisonOperatorIn",
          "ComparisonOperatorNotIn"
        ]
      },
      "types.EvaluatorType": {
        "enum": [
          "AGENT_GOAL_ACCURACY",
          "CHAR_COUNT",
          "CHAR_COUNT_RATIO",
          "ANSWER_COMPLETENESS",
          "FAITHFULNESS",
          "JSON_VALIDATOR",
          "PERPLEXITY",
          "PII_DETECTOR",
          "PLACEHOLDER_REGEX",
          "PROFANITY_DETECTOR",
          "SEXISM_DETECTOR",
          "PROMPT_INJECTION",
          "TONE_DETECTION",
          "PROMPT_PERPLEXITY",
          "TOXICITY_DETECTOR",
          "ANSWER_RELEVANCY",
          "ANSWER_CORRECTNESS",
          "REGEX_VALIDATOR",
          "SECRETS_DETECTOR",
          "SQL_VALIDATOR",
          "SEMANTIC_SIMILARITY",
          "TOPIC_ADHERENCE",
          "UNCERTAINTY_DETECTOR",
          "WORD_COUNT",
          "WORD_COUNT_RATIO",
          "INSTRUCTION_ADHERENCE",
          "AGENT_FLOW_QUALITY",
          "AGENT_EFFICIENCY",
          "AGENT_GOAL_COMPLETENESS",
          "CONVERSATION_QUALITY",
          "INTENT_CHANGE",
          "CONTEXT_RELEVANCE",
          "AGENT_TOOL_ERROR_DETECTOR",
          "AGENT_TOOL_TRAJECTORY",
          "HTML_COMPARISON",
          "LLM_AS_A_JUDGE"
        ],
        "type": "string",
        "x-enum-varnames": [
          "AgentGoalAccuracy",
          "CharCount",
          "CharCountRatio",
          "AnswerCompleteness",
          "Faithfulness",
          "JsonValidator",
          "Perplexity",
          "PIIDetector",
          "PlaceholderRegex",
          "ProfanityDetector",
          "SexismDetector",
          "PromptInjection",
          "ToneDetection",
          "PromptPerplexity",
          "ToxicityDetector",
          "AnswerRelevancy",
          "AnswerCorrectness",
          "RegexValidator",
          "SecretsDetector",
          "SQLValidator",
          "SemanticSimilarity",
          "TopicAdherence",
          "UncertaintyDetector",
          "WordCount",
          "WordCountRatio",
          "InstructionAdherence",
          "AgentFlowQuality",
          "AgentEfficiency",
          "AgentGoalCompleteness",
          "ConversationQuality",
          "IdentIntentChange",
          "ContextRelevance",
          "AgentToolErrorDetector",
          "AgentToolTrajectory",
          "HtmlComparison",
          "LLMAsAJudge"
        ]
      },
      "types.LogicalOperator": {
        "enum": [
          "AND",
          "OR"
        ],
        "type": "string",
        "x-enum-varnames": [
          "LogicalOperatorAnd",
          "LogicalOperatorOr"
        ]
      },
      "types.Rule": {
        "properties": {
          "key": {
            "type": "string"
          },
          "op": {
            "$ref": "#/components/schemas/types.ComparisonOperator"
          },
          "source": {
            "type": "string"
          },
          "value": {
            "type": "string"
          },
          "value_type": {
            "type": "string"
          }
        },
        "type": "object"
      }
    }
  }
}