API documentation for AI agent Studio

More information: https://helloreverb.com

Contact Info: hello@helloreverb.com

Version: 1.0.0

All rights reserved

http://apache.org/licenses/LICENSE-2.0.html

Access

APIKey KeyParamName:X-Authorization KeyInQuery:false KeyInHeader:true

Methods

Models

Table of Contents

CustomModel

post /custommodel/list
post /custommodel
delete /custommodel/vendors/{vendorName}/models/{modelName}
get /custommodel/vendors/{vendorName}/models/{modelName}

CustomModel

Up

post /custommodel/list

Gets list of Custom Models for all vendors (custommodelListPost)

Consumes

This API call consumes the following media types via the request header:

application/json

Request body

body string (optional)

Body Parameter —

Request headers

Return type

ConnectorList

Example data

Content-Type: application/json

{
  "connectors" : [ {
    "api_type" : "REST",
    "name" : "Meta",
    "description" : "description",
    "auth_action" : {
      "auth_type" : "API_KEY",
      "auth" : {
        "custom_keys" : {
          "keys" : [ null, null ]
        },
        "api_auth" : {
          "prefix" : "prefix",
          "keyName" : "Authorization",
          "location" : "header"
        }
      }
    },
    "version" : "version",
    "actions" : [ {
      "request" : {
        "raw" : {
          "variables" : [ {
            "path" : "$.messages[0].content"
          }, {
            "path" : "$.messages[0].content"
          } ],
          "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
        },
        "type" : "RAW"
      },
      "method" : "POST",
      "response" : {
        "variables" : [ null, null ],
        "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
      },
      "name" : "Meta-Llama-3-8B-Instruct",
      "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
      "params" : [ {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      }, {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      } ],
      "display_name" : "display_name",
      "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
    }, {
      "request" : {
        "raw" : {
          "variables" : [ {
            "path" : "$.messages[0].content"
          }, {
            "path" : "$.messages[0].content"
          } ],
          "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
        },
        "type" : "RAW"
      },
      "method" : "POST",
      "response" : {
        "variables" : [ null, null ],
        "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
      },
      "name" : "Meta-Llama-3-8B-Instruct",
      "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
      "params" : [ {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      }, {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      } ],
      "display_name" : "display_name",
      "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
    } ]
  }, {
    "api_type" : "REST",
    "name" : "Meta",
    "description" : "description",
    "auth_action" : {
      "auth_type" : "API_KEY",
      "auth" : {
        "custom_keys" : {
          "keys" : [ null, null ]
        },
        "api_auth" : {
          "prefix" : "prefix",
          "keyName" : "Authorization",
          "location" : "header"
        }
      }
    },
    "version" : "version",
    "actions" : [ {
      "request" : {
        "raw" : {
          "variables" : [ {
            "path" : "$.messages[0].content"
          }, {
            "path" : "$.messages[0].content"
          } ],
          "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
        },
        "type" : "RAW"
      },
      "method" : "POST",
      "response" : {
        "variables" : [ null, null ],
        "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
      },
      "name" : "Meta-Llama-3-8B-Instruct",
      "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
      "params" : [ {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      }, {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      } ],
      "display_name" : "display_name",
      "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
    }, {
      "request" : {
        "raw" : {
          "variables" : [ {
            "path" : "$.messages[0].content"
          }, {
            "path" : "$.messages[0].content"
          } ],
          "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
        },
        "type" : "RAW"
      },
      "method" : "POST",
      "response" : {
        "variables" : [ null, null ],
        "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
      },
      "name" : "Meta-Llama-3-8B-Instruct",
      "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
      "params" : [ {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      }, {
        "attribute" : [ {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        }, {
          "required_input" : true,
          "canonical_name" : "choices[0].value",
          "prefix" : "prefix",
          "name" : "name",
          "description" : "description",
          "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
          "optional" : true,
          "location" : "location",
          "label" : "label",
          "secure" : true,
          "value" : {
            "number" : "number",
            "boolean" : "boolean",
            "min" : "min",
            "string" : "string",
            "max" : "max",
            "type" : "TEXT"
          }
        } ],
        "type" : "HEADERS"
      } ],
      "display_name" : "display_name",
      "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
    } ]
  } ]
}

Produces

This API call produces the following media types according to the request header; the media type will be conveyed by the response header.

application/json

Responses

200

OK ConnectorList

400

Bad request Error

401

Authentication required Error

403

Unauthorized access Error

404

Not found Error

500

Internal Server error Error

Up

post /custommodel

Creates Custom Model (custommodelPost)

Consumes

This API call consumes the following media types via the request header:

application/json

Request body

body Connector (optional)

Body Parameter —

Request headers

Return type

Connector

Example data

Content-Type: application/json

{
  "api_type" : "REST",
  "name" : "Meta",
  "description" : "description",
  "auth_action" : {
    "auth_type" : "API_KEY",
    "auth" : {
      "custom_keys" : {
        "keys" : [ null, null ]
      },
      "api_auth" : {
        "prefix" : "prefix",
        "keyName" : "Authorization",
        "location" : "header"
      }
    }
  },
  "version" : "version",
  "actions" : [ {
    "request" : {
      "raw" : {
        "variables" : [ {
          "path" : "$.messages[0].content"
        }, {
          "path" : "$.messages[0].content"
        } ],
        "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
      },
      "type" : "RAW"
    },
    "method" : "POST",
    "response" : {
      "variables" : [ null, null ],
      "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
    },
    "name" : "Meta-Llama-3-8B-Instruct",
    "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
    "params" : [ {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    }, {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    } ],
    "display_name" : "display_name",
    "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
  }, {
    "request" : {
      "raw" : {
        "variables" : [ {
          "path" : "$.messages[0].content"
        }, {
          "path" : "$.messages[0].content"
        } ],
        "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
      },
      "type" : "RAW"
    },
    "method" : "POST",
    "response" : {
      "variables" : [ null, null ],
      "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
    },
    "name" : "Meta-Llama-3-8B-Instruct",
    "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
    "params" : [ {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    }, {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    } ],
    "display_name" : "display_name",
    "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
  } ]
}

Produces

This API call produces the following media types according to the request header; the media type will be conveyed by the response header.

application/json

Responses

200

OK Connector

400

Bad request Error

401

Authentication required Error

403

Unauthorized access Error

404

Not found Error

500

Internal Server error Error

Up

delete /custommodel/vendors/{vendorName}/models/{modelName}

Deletes Custom Model (custommodelVendorsVendorNameModelsModelNameDelete)

Path parameters

vendorName (required)

Path Parameter — Vendor Name

modelName (required)

Path Parameter — Model Name

Request headers

Produces

This API call produces the following media types according to the request header; the media type will be conveyed by the response header.

application/json

Responses

204

Successfully processed no content

400

Bad request Error

401

Authentication required Error

403

Unauthorized access Error

404

Not found Error

500

Internal Server error Error

Up

get /custommodel/vendors/{vendorName}/models/{modelName}

Gets Custom Model Information (custommodelVendorsVendorNameModelsModelNameGet)

Path parameters

vendorName (required)

Path Parameter — Vendor Name

modelName (required)

Path Parameter — Model Name

Request headers

Return type

Connector

Example data

Content-Type: application/json

{
  "api_type" : "REST",
  "name" : "Meta",
  "description" : "description",
  "auth_action" : {
    "auth_type" : "API_KEY",
    "auth" : {
      "custom_keys" : {
        "keys" : [ null, null ]
      },
      "api_auth" : {
        "prefix" : "prefix",
        "keyName" : "Authorization",
        "location" : "header"
      }
    }
  },
  "version" : "version",
  "actions" : [ {
    "request" : {
      "raw" : {
        "variables" : [ {
          "path" : "$.messages[0].content"
        }, {
          "path" : "$.messages[0].content"
        } ],
        "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
      },
      "type" : "RAW"
    },
    "method" : "POST",
    "response" : {
      "variables" : [ null, null ],
      "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
    },
    "name" : "Meta-Llama-3-8B-Instruct",
    "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
    "params" : [ {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    }, {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    } ],
    "display_name" : "display_name",
    "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
  }, {
    "request" : {
      "raw" : {
        "variables" : [ {
          "path" : "$.messages[0].content"
        }, {
          "path" : "$.messages[0].content"
        } ],
        "body" : "{\"model\": \"gpt-35-turbo\",\"messages\":[{\"role\":\"system\",\"content\":\"What is the capital of France?\"}],\"max_tokens\":500,\"temperature\":0.7,\"frequency_penalty\":0,\"presence_penalty\":0,\"top_p\":0.95,\"stop\":null}"
      },
      "type" : "RAW"
    },
    "method" : "POST",
    "response" : {
      "variables" : [ null, null ],
      "body" : "{\"id\":\"chatcmpl-123\",\"object\":\"chat.completion\",\"created\":1677652288,\"model\":\"gpt-35-turbo\",\"system_fingerprint\":\"fp_44709d6fcb\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\n\\nHello there, how may I assist you today?\"},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":9,\"completion_tokens\":12,\"total_tokens\":21}}"
    },
    "name" : "Meta-Llama-3-8B-Instruct",
    "description" : "The Llama 3 instruction tuned models are optimized for dialogue use cases",
    "params" : [ {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    }, {
      "attribute" : [ {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      }, {
        "required_input" : true,
        "canonical_name" : "choices[0].value",
        "prefix" : "prefix",
        "name" : "name",
        "description" : "description",
        "annotations" : [ "REQUEST_PARAMETER", "REQUEST_PARAMETER" ],
        "optional" : true,
        "location" : "location",
        "label" : "label",
        "secure" : true,
        "value" : {
          "number" : "number",
          "boolean" : "boolean",
          "min" : "min",
          "string" : "string",
          "max" : "max",
          "type" : "TEXT"
        }
      } ],
      "type" : "HEADERS"
    } ],
    "display_name" : "display_name",
    "uri" : "https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}"
  } ]
}

Produces

This API call produces the following media types according to the request header; the media type will be conveyed by the response header.

application/json

Responses

200

OK Connector

400

Bad request Error

401

Authentication required Error

403

Unauthorized access Error

404

Not found Error

500

Internal Server error Error

Models

Methods

`Action` Up

Describes Model information

name (optional)

String Name of the model

example: Meta-Llama-3-8B-Instruct

description (optional)

String Description of the model

example: The Llama 3 instruction tuned models are optimized for dialogue use cases

method (optional)

String HTTP method. Should be always POST

example: POST

uri (optional)

String URI of the REST API. URI can contain parameters that will be replaced by the user input. Parameter can either be a PATH_PARAM variable or a QUERY_PARAM variable. You can also add HEADERS that are associated with this API request. In the example, deploymentId and projectId are a PATH_PARAM variable and apiVersion is a QUERY_PARAM variable.

example: https://{projectId}.openai.azure.com/openai/deployments/{deploymentId}/chat/completions?api-version={apiVersion}

params (optional)

array[Param] List of parameters that are used in the API request. Parameters can be either HEADERS, PATH_PARAM or QUERY_PARAM parameters.

request (optional)

Request

response (optional)

Response

display_name (optional)

String

`Attribute` Up

name (optional)

String

label (optional)

String

description (optional)

String

required_input (optional)

Boolean

optional (optional)

Boolean

value (optional)

Value

location (optional)

String

prefix (optional)

String

secure (optional)

Boolean

annotations (optional)

array[String]

Enum:

canonical_name (optional)

String Json path to the variable in the AAI canonical schema. Use choices[0].value to populate LLM response, use choices[0].promptTokens to populate number of tokens consumed by prompt, use choices[0].completionTokens to populate number of tokens consumed for generating response, use choices[0].totalTokens to populate total tokens consumed to fulfill the request.

example: choices[0].value

`AuthAction` Up

auth_type (optional)

String Type of authentication. API_KEY for API Key, OAUTH2 for OAuth2, CUSTOM_KEYS for multiple keys.

Enum:

API_KEY

OAUTH2

CUSTOM_KEYS

example: API_KEY

auth (optional)

Object

`AuthKey` Up

location (optional)

String valid value is "header"

example: header

keyName (optional)

String Name of the authentication key. For example, "Authorization"

example: Authorization

prefix (optional)

String Prefix to be added to the key. For example, "Bearer "

`AwsSignatureV4` Up

accessKey (optional)

AuthKey

secretKey (optional)

AuthKey

sessionToken (optional)

AuthKey

`Connector` Up

Describes Vendor and associated models information

name (optional)

String Name of the vendor

example: Meta

description (optional)

String

version (optional)

String Used for future reference. Set it to "1".

auth_action (optional)

AuthAction

api_type (optional)

String Type of API. Should be always REST.

example: REST

actions (optional)

array[Action]

`ConnectorList` Up

Describes list of vendors and associated models information

connectors (optional)

array[Connector]

`CustomKeys` Up

keys (optional)

array[AuthKey]

`Error` Up

code (optional)

String Error code

details (optional)

String Error detail

message (optional)

String Message description.

`Param` Up

type (optional)

String

Enum:

HEADERS

PATH_PARAM

QUERY_PARAM

attribute (optional)

array[Attribute]

`Request` Up

Describes Request object

type (optional)

String

Enum:

RAW

raw (optional)

Object

`Response` Up

body (optional)

String Sample (JSON) Response body. This is the body that will be received from the vendor API. The body can contain variables that will be displayed as LLM response or other parameters like token usage which is used for tracking.

example: {"id":"chatcmpl-123","object":"chat.completion","created":1677652288,"model":"gpt-35-turbo","system_fingerprint":"fp_44709d6fcb","choices":[{"index":0,"message":{"role":"assistant","content":"\n\nHello there, how may I assist you today?"},"logprobs":null,"finish_reason":"stop"}],"usage":{"prompt_tokens":9,"completion_tokens":12,"total_tokens":21}}

variables (optional)

array[Variable] List of variables that are used in the Automation Anywhere response. Must include variable representing LLM Response. Other variables could be input, output, total tokens consumed by the model.