Openai.ex

Unofficial community-maintained wrapper for OpenAI REST APIs See https://platform.openai.com/docs/api-reference/introduction for further info on REST endpoints

⚠️⚠️⚠️Disclaimer: Please be advised that addressing issues or pull requests (PRs) may experience delays, as my current workload involves prioritizing other projects. Consequently, the library may not consistently reflect the latest API specifications. You can explore alternative projects here:

https://github.com/restlessronin/openai_ex
https://github.com/dvcrn/ex_openai

Thank you for your understanding and support and thanks to everyone who has contributed to the library so far!

Installation

Add :openai as a dependency in your mix.exs file.

def deps do
  [
    {:openai, "~> 0.6.1"}
  ]
end

Configuration

You can configure openai in your mix config.exs (default $project_root/config/config.exs). If you're using Phoenix add the configuration in your config/dev.exs|test.exs|prod.exs files. An example config is:

import Config

config :openai,
  # find it at https://platform.openai.com/account/api-keys
  api_key: "your-api-key",
  # find it at https://platform.openai.com/account/org-settings under "Organization ID"
  organization_key: "your-organization-key",
  # optional, use when required by an OpenAI API beta, e.g.:
  beta: "assistants=v1"
  # optional, passed to [HTTPoison.Request](https://hexdocs.pm/httpoison/HTTPoison.Request.html) options
  http_options: [recv_timeout: 30_000],
  # optional, useful if you want to do local integration tests using Bypass or similar
  # (https://github.com/PSPDFKit-labs/bypass), do not use it for production code,
  # but only in your test config!
  api_url: "http://localhost/"

Note: you can load your os ENV variables in the configuration file, if you set an env variable for API key named OPENAI_API_KEY you can get it in the code by doing System.get_env("OPENAI_API_KEY").

⚠️config.exs is compile time, so the get_env/1 function is executed during the build, if you want to get the env variables during runtime please use runtime.exs instead of config.exs in your application (elixir doc ref).

Configuration override

Client library configuration can be overwritten in runtime by passing a %OpenAI.Config{} struct as last argument of the function you need to use. For instance if you need to use a different api_key, organization_key or http_options you can simply do:

config_override = %OpenAI.Config{ api_key: "test-api-key" } # this will return a config struct with "test-api-key" as api_key, all the other config are defaulted by the client by using values taken from config.exs, so you don't need to set the defaults manually

# chat_completion with overriden config
OpenAI.chat_completion([
  model: "gpt-3.5-turbo",
  messages: [
        %{role: "system", content: "You are a helpful assistant."},
        %{role: "user", content: "Who won the world series in 2020?"},
        %{role: "assistant", content: "The Los Angeles Dodgers won the World Series in 2020."},
        %{role: "user", content: "Where was it played?"}
    ]
  ],
  config_override # <--- pass the overriden configuration as last argument of the function
)


# chat_completion with standard config
OpenAI.chat_completion(
  model: "gpt-3.5-turbo",
  messages: [
      %{role: "system", content: "You are a helpful assistant."},
      %{role: "user", content: "Who won the world series in 2020?"},
      %{role: "assistant", content: "The Los Angeles Dodgers won the World Series in 2020."},
      %{role: "user", content: "Where was it played?"}
  ]
)

you can perform a config override in all the functions, note that params argument must be passed explicitly as a list in square brackets if the configuration is to be overwritten, as in the example above.

Usage overview

Get your API key from https://platform.openai.com/account/api-keys

models()

Retrieve the list of available models

Example request

OpenAI.models()

Example response

{:ok, %{
  data: [%{
    "created" => 1651172505,
    "id" => "davinci-search-query",
    "object" => "model",
    "owned_by" => "openai-dev",
    "parent" => nil,
    "permission" => [
      %{
        "allow_create_engine" => false,
        "allow_fine_tuning" => false,
        "allow_logprobs" => true,
        ...
      }
    ],
    "root" => "davinci-search-query"
  },
  ....],
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/models/list

models(model_id)

Retrieve specific model info

OpenAI.models("davinci-search-query")

Example response

{:ok,
 %{
   created: 1651172505,
   id: "davinci-search-query",
   object: "model",
   owned_by: "openai-dev",
   parent: nil,
   permission: [
     %{
       "allow_create_engine" => false,
       "allow_fine_tuning" => false,
       "allow_logprobs" => true,
       "allow_sampling" => true,
       "allow_search_indices" => true,
       "allow_view" => true,
       "created" => 1669066353,
       "group" => nil,
       "id" => "modelperm-lYkiTZMmJMWm8jvkPx2duyHE",
       "is_blocking" => false,
       "object" => "model_permission",
       "organization" => "*"
     }
   ],
   root: "davinci-search-query"
 }}

See: https://platform.openai.com/docs/api-reference/models/retrieve

completions(params)

It returns one or more predicted completions given a prompt. The function accepts as arguments the "engine_id" and the set of parameters used by the Completions OpenAI api

Example request

  OpenAI.completions(
    model: "finetuned-model",
    prompt: "once upon a time",
    max_tokens: 5,
    temperature: 1,
    ...
  )

Example response

## Example response
  {:ok, %{
    choices: [
      %{
        "finish_reason" => "length",
        "index" => 0,
        "logprobs" => nil,
        "text" => "\" thing we are given"
      }
    ],
    created: 1617147958,
    id: "...",
    model: "...",
    object: "text_completion"
    }
  }

See: https://platform.openai.com/docs/api-reference/completions/create

completions(engine_id, params) (DEPRECATED)

this API has been deprecated by OpenAI, as engines are replaced by models. If you are using it consider to switch to completions(params) ASAP!

Example request

  OpenAI.completions(
    "davinci", # engine_id
    prompt: "once upon a time",
    max_tokens: 5,
    temperature: 1,
    ...
)

Example response

{:ok, %{
  choices: [
    %{
      "finish_reason" => "length",
      "index" => 0,
      "logprobs" => nil,
      "text" => "\" thing we are given"
    }
  ],
  created: 1617147958,
  id: "...",
  model: "...",
  object: "text_completion"
  }
}

See: https://beta.openai.com/docs/api-reference/completions/create for the complete list of parameters you can pass to the completions function

chat_completion()

Creates a completion for the chat message

Example request

OpenAI.chat_completion(
  model: "gpt-3.5-turbo",
  messages: [
        %{role: "system", content: "You are a helpful assistant."},
        %{role: "user", content: "Who won the world series in 2020?"},
        %{role: "assistant", content: "The Los Angeles Dodgers won the World Series in 2020."},
        %{role: "user", content: "Where was it played?"}
    ]
)

Example response

{:ok,
     %{
       choices: [
         %{
           "finish_reason" => "stop",
           "index" => 0,
           "message" => %{
             "content" =>
               "The 2020 World Series was played at Globe Life Field in Arlington, Texas due to the COVID-19 pandemic.",
             "role" => "assistant"
           }
         }
       ],
       created: 1_677_773_799,
       id: "chatcmpl-6pftfA4NO9pOQIdxao6Z4McDlx90l",
       model: "gpt-3.5-turbo-0301",
       object: "chat.completion",
       usage: %{
         "completion_tokens" => 26,
         "prompt_tokens" => 56,
         "total_tokens" => 82
       }
     }}

See: https://platform.openai.com/docs/api-reference/chat/create for the complete list of parameters you can pass to the completions function

chat_completion() with stream

Creates a completion for the chat message, by default it streams to self(), but you can override the configuration by passing a config override to the function with a different stream_to http_options parameter.

Example request

import Config

config :openai,
  api_key: "your-api-key",
  http_options: [recv_timeout: :infinity, async: :once],
  ...

http_options must be set as above when you want to treat the chat completion as a stream.

OpenAI.chat_completion([
    model: "gpt-3.5-turbo",
    messages: [
      %{role: "system", content: "You are a helpful assistant."},
      %{role: "user", content: "Who won the world series in 2020?"},
      %{role: "assistant", content: "The Los Angeles Dodgers won the World Series in 2020."},
      %{role: "user", content: "Where was it played?"}
    ],
    stream: true, # set this param to true
  ]
)
|> Stream.each(fn res ->
  IO.inspect(res)
end)
|> Stream.run()

Example response

%{
  "choices" => [
    %{"delta" => %{"role" => "assistant"}, "finish_reason" => nil, "index" => 0}
  ],
  "created" => 1682700668,
  "id" => "chatcmpl-7ALbIuLju70hXy3jPa3o5VVlrxR6a",
  "model" => "gpt-3.5-turbo-0301",
  "object" => "chat.completion.chunk"
}
%{
  "choices" => [
    %{"delta" => %{"content" => "The"}, "finish_reason" => nil, "index" => 0}
  ],
  "created" => 1682700668,
  "id" => "chatcmpl-7ALbIuLju70hXy3jPa3o5VVlrxR6a",
  "model" => "gpt-3.5-turbo-0301",
  "object" => "chat.completion.chunk"
}
%{
  "choices" => [
    %{"delta" => %{"content" => " World"}, "finish_reason" => nil, "index" => 0}
  ],
  "created" => 1682700668,
  "id" => "chatcmpl-7ALbIuLju70hXy3jPa3o5VVlrxR6a",
  "model" => "gpt-3.5-turbo-0301",
  "object" => "chat.completion.chunk"
}
%{
  "choices" => [
    %{
      "delta" => %{"content" => " Series"},
      "finish_reason" => nil,
      "index" => 0
    }
  ],
  "created" => 1682700668,
  "id" => "chatcmpl-7ALbIuLju70hXy3jPa3o5VVlrxR6a",
  "model" => "gpt-3.5-turbo-0301",
  "object" => "chat.completion.chunk"
}
%{
  "choices" => [
    %{"delta" => %{"content" => " in"}, "finish_reason" => nil, "index" => 0}
  ],
  "created" => 1682700668,
  "id" => "chatcmpl-7ALbIuLju70hXy3jPa3o5VVlrxR6a",
  "model" => "gpt-3.5-turbo-0301",
  "object" => "chat.completion.chunk"
}
...

edits()

Creates a new edit for the provided input, instruction, and parameters

Example request

OpenAI.edits(
  model: "text-davinci-edit-001",
  input: "What day of the wek is it?",
  instruction: "Fix the spelling mistakes"
)

Example response

{:ok,
  %{
   choices: [%{"index" => 0, "text" => "What day of the week is it?\n"}],
   created: 1675443483,
   object: "edit",
   usage: %{
     "completion_tokens" => 28,
     "prompt_tokens" => 25,
     "total_tokens" => 53
  }
}}

See: https://platform.openai.com/docs/api-reference/edits/create

images_generations(params)

This generates an image based on the given prompt. Image functions require some times to execute, and API may return a timeout error, if needed you can pass an optional configuration struct with HTTPoison http_options as second argument of the function to increase the timeout.

Example request

OpenAI.images_generations(
    [prompt: "A developer writing a test", size: "256x256"],
    %OpenAI.Config{http_options: [recv_timeout: 10 * 60 * 1000]} # optional!
 )

Example response

{:ok,
 %{
   created: 1670341737,
   data: [
     %{
       "url" => ...Returned url
     }
   ]
 }}

Note: this api signature has changed in v0.3.0 to be compliant with the conventions of other APIs, the alias OpenAI.image_generations(params, request_options) is still available for retrocompatibility. If you are using it consider to switch to OpenAI.images_generations(params, request_options) ASAP.

Note2: the official way of passing http_options changed in v0.5.0 to be compliant with the conventions of other APIs, the alias OpenAI.images_generations(file_path, params, request_options), but is still available for retrocompatibility. If you are using it consider to switch to OpenAI.images_variations(params, config)

See: https://platform.openai.com/docs/api-reference/images/create

images_edits(file_path, params)

Edit an existing image based on prompt Image functions require some times to execute, and API may return a timeout error, if needed you can pass an optional configuration struct with HTTPoison http_options as second argument of the function to increase the timeout.

Example Request

OpenAI.images_edits(
     "/home/developer/myImg.png",
     [prompt: "A developer writing a test", size: "256x256"],
    %OpenAI.Config{http_options: [recv_timeout: 10 * 60 * 1000]} # optional!
 )

Example Response

{:ok,
 %{
   created: 1670341737,
   data: [
     %{
       "url" => ...Returned url
     }
   ]
 }}

Note: the official way of passing http_options changed in v0.5.0 to be compliant with the conventions of other APIs, the alias OpenAI.images_edits(file_path, params, request_options), but is still available for retrocompatibility. If you are using it consider to switch to OpenAI.images_edits(file_path, params, config)

See: https://platform.openai.com/docs/api-reference/images/create-edit

images_variations(file_path, params)

Image functions require some times to execute, and API may return a timeout error, if needed you can pass an optional configuration struct with HTTPoison http_options as second argument of the function to increase the timeout.

Example Request

OpenAI.images_variations(
    "/home/developer/myImg.png",
    [n: "5"],
    %OpenAI.Config{http_options: [recv_timeout: 10 * 60 * 1000]} # optional!
)

Example Response

{:ok,
 %{
   created: 1670341737,
   data: [
     %{
       "url" => ...Returned url
     }
   ]
 }}

Note: the official way of passing http_options changed in v0.5.0 to be compliant with the conventions of other APIs, the alias OpenAI.images_variations(file_path, params, request_options), but is still available for retrocompatibility. If you are using it consider to switch to OpenAI.images_edits(file_path, params, config)

See: https://platform.openai.com/docs/api-reference/images/create-variation

embeddings(params)

Example request

OpenAI.embeddings(
    model: "text-embedding-ada-002",
    input: "The food was delicious and the waiter..."
  )

Example response

{:ok,
  %{
   data: [
     %{
       "embedding" => [0.0022523515000000003, -0.009276069000000001,
        0.015758524000000003, -0.007790373999999999, -0.004714223999999999,
        0.014806155000000001, -0.009803046499999999, -0.038323310000000006,
        -0.006844355, -0.028672641, 0.025345700000000002, 0.018145794000000003,
        -0.0035904291999999997, -0.025498080000000003, 5.142790000000001e-4,
        -0.016317246, 0.028444072, 0.0053713582, 0.009631619999999999,
        -0.016469626, -0.015390275, 0.004301531, 0.006984035499999999,
        -0.007079272499999999, -0.003926933, 0.018602932000000003, 0.008666554,
        -0.022717162999999995, 0.011460166999999997, 0.023860006,
        0.015568050999999998, -0.003587254600000001, -0.034843990000000005,
        -0.0041555012999999995, -0.026107594000000005, -0.02151083,
        -0.0057618289999999996, 0.011714132499999998, 0.008355445999999999,
        0.004098358999999999, 0.019199749999999998, -0.014336321, 0.008952264,
        0.0063395994, -0.04576447999999999, ...],
       "index" => 0,
       "object" => "embedding"
     }
   ],
   model: "text-embedding-ada-002-v2",
   object: "list",
   usage: %{"prompt_tokens" => 8, "total_tokens" => 8}
  }}

See: https://platform.openai.com/docs/api-reference/embeddings/create

audio_speech(params)

Generates audio from the input text.

Example request

OpenAI.audio_speech(
  model: "tts-1",
  input: "You know that Voight-Kampf test of yours. Did you ever take that test yourself?",
  voice: "alloy"
)

Example response

  {:ok, <<255, 255, ...>>}

See: https://platform.openai.com/docs/api-reference/audio/create to get info on the params accepted by the api

audio_transcription(file_path, params)

Transcribes audio into the input language.

Example request

OpenAI.audio_transcription(
  "./path_to_file/blade_runner.mp3", # file path
  model: "whisper-1"
)

Example response

 {:ok,
  %{
   text: "I've seen things you people wouldn't believe.."
  }}

See: https://platform.openai.com/docs/api-reference/audio/create to get info on the params accepted by the api

audio_translation(file_path, params)

Translates audio into into English.

Example request

OpenAI.audio_translation(
  "./path_to_file/werner_herzog_interview.mp3", # file path
  model: "whisper-1"
)

Example response

{:ok,
  %{
    text:  "I thought if I walked, I would be saved. It was almost like a pilgrimage. I will definitely continue to walk long distances. It is a very unique form of life and existence that we have lost almost entirely from our normal life."
  }
}

See: https://platform.openai.com/docs/api-reference/audio/create to get info on the params accepted by the api

files()

Returns a list of files that belong to the user's organization.

Example request

OpenAI.files()

Example response

{:ok,
 %{
 data: [
   %{
     "bytes" => 123,
     "created_at" => 213,
     "filename" => "file.jsonl",
     "id" => "file-123321",
     "object" => "file",
     "purpose" => "fine-tune",
     "status" => "processed",
     "status_details" => nil
   }
 ],
 object: "list"
 }
}

See: https://platform.openai.com/docs/api-reference/files

files(file_id)

Returns a file that belong to the user's organization, given a file id

Example request

OpenAI.files("file-123321")

Example response

{:ok,
%{
  bytes: 923,
  created_at: 1675370979,
  filename: "file.jsonl",
  id: "file-123321",
  object: "file",
  purpose: "fine-tune",
  status: "processed",
  status_details: nil
}
}

See: https://platform.openai.com/docs/api-reference/files/retrieve

files_upload(file_path, params)

Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact OpenAI if you need to increase the storage limit.

Example request

OpenAI.files_upload("./file.jsonl", purpose: "fine-tune")

Example response

{:ok,
  %{
    bytes: 923,
    created_at: 1675373519,
    filename: "file.jsonl",
    id: "file-123",
    object: "file",
    purpose: "fine-tune",
    status: "uploaded",
    status_details: nil
  }
}

See: https://platform.openai.com/docs/api-reference/files/upload

files_delete(file_id)

delete a file

Example request

OpenAI.files_delete("file-123")

Example response

{:ok, %{deleted: true, id: "file-123", object: "file"}}

See: https://platform.openai.com/docs/api-reference/files/delete

finetunes()

List your organization's fine-tuning jobs.

Example request

OpenAI.finetunes()

Example response

{:ok,
  %{
    object: "list",
    data: [%{
      "id" => "t-AF1WoRqd3aJAHsqc9NY7iL8F",
      "object" => "fine-tune",
      "model" => "curie",
      "created_at" => 1614807352,
      "fine_tuned_model" => null,
      "hyperparams" => { ... },
      "organization_id" => "org-...",
      "result_files" = [],
      "status": "pending",
      "validation_files" => [],
      "training_files" => [ { ... } ],
      "updated_at" => 1614807352,
    }],
  }
}

See: https://platform.openai.com/docs/api-reference/fine-tunes/list

finetunes(finetune_id)

Gets info about a fine-tune job.

Example request

OpenAI.finetunes("t-AF1WoRqd3aJAHsqc9NY7iL8F")

Example response

{:ok,
  %{
    object: "list",
    data: [%{
      "id" => "t-AF1WoRqd3aJAHsqc9NY7iL8F",
      "object" => "fine-tune",
      "model" => "curie",
      "created_at" => 1614807352,
      "fine_tuned_model" => null,
      "hyperparams" => { ... },
      "organization_id" => "org-...",
      "result_files" = [],
      "status": "pending",
      "validation_files" => [],
      "training_files" => [ { ... } ],
      "updated_at" => 1614807352,
    }],
  }
}

See: https://platform.openai.com/docs/api-reference/fine-tunes/retrieve

finetunes_create(params)

Creates a job that fine-tunes a specified model from a given dataset.

Example request

OpenAI.finetunes_create(
  training_file: "file-123213231",
  model: "curie",
)

Example response

{:ok,
 %{
   created_at: 1675527767,
   events: [
     %{
       "created_at" => 1675527767,
       "level" => "info",
       "message" => "Created fine-tune: ft-IaBYfSSAK47UUCbebY5tBIEj",
       "object" => "fine-tune-event"
     }
   ],
   fine_tuned_model: nil,
   hyperparams: %{
     "batch_size" => nil,
     "learning_rate_multiplier" => nil,
     "n_epochs" => 4,
     "prompt_loss_weight" => 0.01
   },
   id: "ft-IaBYfSSAK47UUCbebY5tBIEj",
   model: "curie",
   object: "fine-tune",
   organization_id: "org-1iPTOIak4b5fpuIB697AYMmO",
   result_files: [],
   status: "pending",
   training_files: [
     %{
       "bytes" => 923,
       "created_at" => 1675373519,
       "filename" => "file-12321323.jsonl",
       "id" => "file-12321323",
       "object" => "file",
       "purpose" => "fine-tune",
       "status" => "processed",
       "status_details" => nil
     }
   ],
   updated_at: 1675527767,
   validation_files: []
 }}

See: https://platform.openai.com/docs/api-reference/fine-tunes/create

finetunes_list_events(finetune_id)

Get fine-grained status updates for a fine-tune job.

Example request

OpenAI.finetunes_list_events("ft-AF1WoRqd3aJAHsqc9NY7iL8F")

Example response

{:ok,
  %{
   data: [
     %{
       "created_at" => 1675376995,
       "level" => "info",
       "message" => "Created fine-tune: ft-123",
       "object" => "fine-tune-event"
     },
     %{
       "created_at" => 1675377104,
       "level" => "info",
       "message" => "Fine-tune costs $0.00",
       "object" => "fine-tune-event"
     },
     %{
       "created_at" => 1675377105,
       "level" => "info",
       "message" => "Fine-tune enqueued. Queue number: 18",
       "object" => "fine-tune-event"
     },
    ...,
     ]
    }
  }

See: https://platform.openai.com/docs/api-reference/fine-tunes/events

finetunes_cancel(finetune_id)

Immediately cancel a fine-tune job.

Example request

OpenAI.finetunes_cancel("ft-AF1WoRqd3aJAHsqc9NY7iL8F")

Example response

  {:ok,
  %{
   created_at: 1675527767,
   events: [
     ...
     %{
       "created_at" => 1675528080,
       "level" => "info",
       "message" => "Fine-tune cancelled",
       "object" => "fine-tune-event"
     }
   ],
   fine_tuned_model: nil,
   hyperparams: %{
     "batch_size" => 1,
     "learning_rate_multiplier" => 0.1,
     "n_epochs" => 4,
     "prompt_loss_weight" => 0.01
   },
   id: "ft-IaBYfSSAK47UUCbebY5tBIEj",
   model: "curie",
   object: "fine-tune",
   organization_id: "org-1iPTOIak4b5fpuIB697AYMmO",
   result_files: [],
   status: "cancelled",
   training_files: [
     %{
       "bytes" => 923,
       "created_at" => 1675373519,
       "filename" => "file123.jsonl",
       "id" => "file-123",
       "object" => "file",
       "purpose" => "fine-tune",
       "status" => "processed",
       "status_details" => nil
     }
   ],
   updated_at: 1675528080,
   validation_files: []
  }}

finetunes_delete_model(finetune_id)

Immediately cancel a fine-tune job.

Example request

OpenAI.finetunes_delete_model("model-id")

Example response

{:ok,
  %{
   id: "model-id",
   object: "model",
   deleted: true
  }
}

See: https://platform.openai.com/docs/api-reference/fine-tunes/delete-model

moderations(params)

Classifies if text violates OpenAI's Content Policy

Example request

OpenAI.moderations(input: "I want to kill everyone!")

Example response

{:ok,
  %{
   id: "modr-6gEWXyuaU8dqiHpbAHIsdru0zuC88",
   model: "text-moderation-004",
   results: [
     %{
       "categories" => %{
         "hate" => false,
         "hate/threatening" => false,
         "self-harm" => false,
         "sexual" => false,
         "sexual/minors" => false,
         "violence" => true,
         "violence/graphic" => false
       },
       "category_scores" => %{
         "hate" => 0.05119025334715844,
         "hate/threatening" => 0.00321022979915142,
         "self-harm" => 7.337320857914165e-5,
         "sexual" => 1.1111642379546538e-6,
         "sexual/minors" => 3.588798147546868e-10,
         "violence" => 0.9190407395362855,
         "violence/graphic" => 1.2791929293598514e-7
       },
       "flagged" => true
     }
   ]
  }}

See: https://platform.openai.com/docs/api-reference/moderations/create

Beta APIs

The following APIs are currently in beta, to use them be sure to set the beta parameter in your config.

config :openai,
  # optional, use when required by an OpenAI API beta, e.g.:
  beta: "assistants=v1"

assistants()

Retrieves the list of assistants.

Example request

OpenAI.assistants()

Example response

{:ok,
%{
  data: [
    %{
      "created_at" => 1699472932,
      "description" => nil,
      "file_ids" => ["file-..."],
      "id" => "asst_...",
      "instructions" => "...",
      "metadata" => %{},
      "model" => "gpt-4-1106-preview",
      "name" => "...",
      "object" => "assistant",
      "tools" => [%{"type" => "retrieval"}]
    }
  ],
  first_id: "asst_...",
  has_more: false,
  last_id: "asst_...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/assistants/listAssistants

assistants(params)

Retrieves the list of assistants filtered by query params.

Example request

OpenAI.assistants(after: "", limit: 10)

Example response

{:ok,
%{
  data: [
    %{
      "created_at" => 1699472932,
      "description" => nil,
      "file_ids" => ["file-..."],
      "id" => "asst_...",
      "instructions" => "...",
      "metadata" => %{},
      "model" => "gpt-4-1106-preview",
      "name" => "...",
      "object" => "assistant",
      "tools" => [%{"type" => "retrieval"}]
    },
    ...
  ],
  first_id: "asst_...",
  has_more: false,
  last_id: "asst_...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/assistants/listAssistants

assistants(assistant_id)

Retrieves an assistant by its id.

Example request

OpenAI.assistants("asst_...")

Example response

{:ok,
%{
  created_at: 1699472932,
  description: nil,
  file_ids: ["file-..."],
  id: "asst_...",
  instructions: "...",
  metadata: %{},
  model: "gpt-4-1106-preview",
  name: "...",
  object: "assistant",
  tools: [%{"type" => "retrieval"}]
}}

See: https://platform.openai.com/docs/api-reference/assistants/getAssistant

assistants_create(params)

Creates a new assistant.

Example request

OpenAI.assistants_create(
  model: "gpt-3.5-turbo-1106",
  name: "My assistant",
  instructions: "You are a research assistant.",
  tools: [
    %{type: "retrieval"}
  ],
  file_ids: ["file-..."]
)

Example response

{:ok,
%{
  created_at: 1699640038,
  description: nil,
  file_ids: ["file-..."],
  id: "asst_...",
  instructions: "You are a research assistant.",
  metadata: %{},
  model: "gpt-3.5-turbo-1106",
  name: "My assistant",
  object: "assistant",
  tools: [%{"type" => "retrieval"}]
}}

See: https://platform.openai.com/docs/api-reference/assistants/createAssistant

assistants_modify(assistant_id, params)

Modifies an existing assistant.

Example request

OpenAI.assistants_modify(
  "asst_...",
  model: "gpt-4-1106-preview",
  name: "My upgraded assistant"
)

Example response

{:ok,
%{
  created_at: 1699640038,
  description: nil,
  file_ids: ["file-..."],
  id: "asst_...",
  instructions: "You are a research assistant.",
  metadata: %{},
  model: "gpt-4-1106-preview",
  name: "My upgraded assistant"
  object: "assistant",
  tools: [%{"type" => "retrieval"}]
}}

See: https://platform.openai.com/docs/api-reference/assistants/modifyAssistant

assistants_delete(assistant_id)

Deletes an assistant.

Example request

OpenAI.assistants_delete("asst_...")

Example response

{:ok,
%{
  deleted: true,
  id: "asst_...",
  object: "assistant.deleted"
}}

See: https://platform.openai.com/docs/api-reference/assistants/deleteAssistant

assistant_files(assistant_id)

Retrieves the list of files associated with a particular assistant.

Example request

OpenAI.assistant_files("asst_...")

Example response

{:ok,
%{
  data: [
    %{
      "assistant_id" => "asst_...",
      "created_at" => 1699472933,
      "id" => "file-...",
      "object" => "assistant.file"
    }
  ],
  first_id: "file-...",
  has_more: false,
  last_id: "file-...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/assistants/listAssistantFiles

assistant_files(assistant_id, params)

Retrieves the list of files associated with a particular assistant, filtered by query params.

Example request

OpenAI.assistant_files("asst_...", order: "desc")

Example response

{:ok,
%{
  data: [
    %{
      "assistant_id" => "asst_...",
      "created_at" => 1699472933,
      "id" => "file-...",
      "object" => "assistant.file"
    }
  ],
  first_id: "file-...",
  has_more: false,
  last_id: "file-...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/assistants/listAssistantFiles

assistant_file(assistant_id, file_id)

Retrieves an assistant file by its id

Example request

OpenAI.assistant_file("asst_...", "file_...")

Example response

{:ok,
%{
  assistant_id: "asst_...",
  created_at: 1699472933,
  id: "file-...",
  object: "assistant.file"
}}

See: https://platform.openai.com/docs/api-reference/assistants/getAssistantFile

assistant_file_create(assistant_id, params)

Attaches a previously uploaded file to the assistant.

Example request

OpenAI.assistant_file_create("asst_...", file_id: "file-...")

Example response

{:ok,
%{
  assistant_id: "asst_...",
  created_at: 1699472933,
  id: "file-...",
  object: "assistant.file"
}}

See: https://platform.openai.com/docs/api-reference/assistants/createAssistantFile

assistant_file_delete(assistant_id, file_id)

Detaches a file from the assistant. The file itself is not automatically deleted.

Example request

OpenAI.assistant_file_delete("asst_...", "file-...")

Example response

{:ok,
%{
  deleted: true,
  id: "file-...",
  object: "assistant.file.deleted"
}}

See: https://platform.openai.com/docs/api-reference/assistants/deleteAssistantFile

threads()

Retrieves the list of threads. NOTE: At the time of this writing this functionality remains undocumented by OpenAI.

Example request

OpenAI.threads()

Example response

{:ok,
%{
  data: [
    %{
      "created_at" => 1699705727,
      "id" => "thread_...",
      "metadata" => %{"key_1" => "value 1", "key_2" => "value 2"},
      "object" => "thread"
    },
    ...
  ],
  first_id: "thread_...",
  has_more: false,
  last_id: "thread_...",
  object: "list"
}}

threads(params)

Retrieves the list of threads by query params. NOTE: At the time of this writing this functionality remains undocumented by OpenAI.

Example request

OpenAI.threads(limit: 2)

Example response

{:ok,
%{
  data: [
    %{
      "created_at" => 1699705727,
      "id" => "thread_...",
      "metadata" => %{"key_1" => "value 1", "key_2" => "value 2"},
      "object" => "thread"
    },
    ...
  ],
  first_id: "thread_...",
  has_more: false,
  last_id: "thread_...",
  object: "list"
}}

threads_create(params)

Creates a new thread with some messages and metadata.

Example request

messages = [
  %{
    role: "user",
    content: "Hello, what is AI?",
    file_ids: ["file-..."]
  },
  %{
    role: "user",
    content: "How does AI work? Explain it in simple terms."
  },
]
metadata = %{
  key_1: "value 1",
  key_2: "value 2"
}
OpenAI.threads_create(messages: messages, metadata: metadata)

Example response

{:ok,
%{
  created_at: 1699703890,
  id: "thread_...",
  metadata: %{"key_1" => "value 1", "key_2" => "value 2"},
  object: "thread"
}}

See: https://platform.openai.com/docs/api-reference/threads/createThread

threads_create_and_run(params)

Creates a new thread and runs it.

Example request

messages = [
  %{
    role: "user",
    content: "Hello, what is AI?",
    file_ids: ["file-..."]
  },
  %{
    role: "user",
    content: "How does AI work? Explain it in simple terms."
  },
]

thread_metadata = %{
  key_1: "value 1",
  key_2: "value 2"
}

thread = %{
  messages: messages,
  metadata: thread_metadata
}

run_metadata = %{
  key_3: "value 3"
}

params = [
  assistant_id: "asst_...",
  thread: thread,
  model: "gpt-4-1106-preview",
  instructions: "You are an AI learning assistant.",
  tools: [%{
    "type" => "retrieval"
  }],
  metadata: run_metadata
]

OpenAI.threads_create_and_run(params)

Example response

{:ok,
%{
  assistant_id: "asst_...",
  cancelled_at: nil,
  completed_at: nil,
  created_at: 1699897907,
  expires_at: 1699898507,
  failed_at: nil,
  file_ids: ["file-..."],
  id: "run_...",
  instructions: "You are an AI learning assistant.",
  last_error: nil,
  metadata: %{"key_3" => "value 3"},
  model: "gpt-4-1106-preview",
  object: "thread.run",
  started_at: nil,
  status: "queued",
  thread_id: "thread_...",
  tools: [%{"type" => "retrieval"}]
}}

See: https://platform.openai.com/docs/api-reference/runs/createThreadAndRun

threads_modify(thread_id, params)

Modifies an existing thread.

Example request

metadata = %{
  key_3: "value 3"
}

OpenAI.threads_modify("thread_...", metadata: metadata)

Example response

{:ok,
%{
  created_at: 1699704406,
  id: "thread_...",
  metadata: %{"key_1" => "value 1", "key_2" => "value 2", "key_3" => "value 3"},
  object: "thread"
}}

See: https://platform.openai.com/docs/api-reference/threads/modifyThread

threads_delete(thread_id)

Modifies an existing thread.

Example request

OpenAI.threads_delete("thread_...")

Example response

{:ok,
%{
  deleted: true,
  id: "thread_...",
  object: "thread.deleted"
}}

See: https://platform.openai.com/docs/api-reference/threads/deleteThread

thread_messages(thread_id)

Retrieves the list of messages associated with a particular thread.

Example request

OpenAI.thread_messages("thread_...")

Example response

{:ok,
%{
  data: [
    %{
      "assistant_id" => nil,
      "content" => [
        %{
          "text" => %{
            "annotations" => [],
            "value" => "How does AI work? Explain it in simple terms."
          },
          "type" => "text"
        }
      ],
      "created_at" => 1699705727,
      "file_ids" => [],
      "id" => "msg_...",
      "metadata" => %{},
      "object" => "thread.message",
      "role" => "user",
      "run_id" => nil,
      "thread_id" => "thread_..."
    },
    ...
  ],
  first_id: "msg_...",
  has_more: false,
  last_id: "msg_...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/messages/listMessages

thread_messages(thread_id, params)

Retrieves the list of messages associated with a particular thread, filtered by query params.

Example request

OpenAI.thread_messages("thread_...", after: "msg_...")

Example response

{:ok,
%{
  data: [
    %{
      "assistant_id" => nil,
      "content" => [
        %{
          "text" => %{
            "annotations" => [],
            "value" => "How does AI work? Explain it in simple terms."
          },
          "type" => "text"
        }
      ],
      "created_at" => 1699705727,
      "file_ids" => [],
      "id" => "msg_...",
      "metadata" => %{},
      "object" => "thread.message",
      "role" => "user",
      "run_id" => nil,
      "thread_id" => "thread_..."
    },
    ...
  ],
  first_id: "msg_...",
  has_more: false,
  last_id: "msg_...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/messages/listMessages

thread_message(thread_id, message_id)

Retrieves a thread message by its id.

Example request

OpenAI.thread_message("thread_...", "msg_...")

Example response

 {:ok,
  %{
    assistant_id: nil,
    content: [
      %{
        "text" => %{"annotations" => [], "value" => "Hello, what is AI?"},
        "type" => "text"
      }
    ],
    created_at: 1699705727,
    file_ids: ["file-..."],
    id: "msg_...",
    metadata: %{},
    object: "thread.message",
    role: "user",
    run_id: nil,
    thread_id: "thread_..."
}}

See: https://platform.openai.com/docs/api-reference/messages/getMessage

create_thread_message(thread_id, params)

Creates a message within a thread.

Example request

params = [
  role: "user",
  content: "Hello, what is AI?",
  file_ids: ["file-9Riyo515uf9KVfwdSrIQiqtC"],
  metadata: %{
    key_1: "value 1",
    key_2: "value 2"
  }
]
OpenAI.thread_message_create("thread_...", params)

Example response

{:ok,
%{
  assistant_id: nil,
  content: [
    %{
      "text" => %{"annotations" => [], "value" => "Hello, what is AI?"},
      "type" => "text"
    }
  ],
  created_at: 1699706818,
  file_ids: ["file-..."],
  id: "msg_...",
  metadata: %{"key_1" => "value 1", "key_2" => "value 2"},
  object: "thread.message",
  role: "user",
  run_id: nil,
  thread_id: "thread_..."
}}

See: https://platform.openai.com/docs/api-reference/messages/createMessage

thread_message_modify(thread_id, message_id, params)

Creates a message within a thread.

Example request

params = [
  metadata: %{
    key_3: "value 3"
  }
]

OpenAI.thread_message_modify("thread_...", "msg_...", params)

Example response

{:ok,
%{
  assistant_id: nil,
  content: [
    %{
      "text" => %{"annotations" => [], "value" => "Hello, what is AI?"},
      "type" => "text"
    }
  ],
  created_at: 1699706818,
  file_ids: ["file-..."],
  id: "msg_...",
  metadata: %{"key_1" => "value 1", "key_2" => "value 2", "key_3" => "value 3"},
  object: "thread.message",
  role: "user",
  run_id: nil,
  thread_id: "thread_..."
}}

See: https://platform.openai.com/docs/api-reference/messages/modifyMessage

thread_message_files(thread_id, message_id)

Retrieves the list of files associated with a particular message of a thread.

Example request

OpenAI.thread_message_files("thread_...", "msg_...")

Example response

{:ok,
%{
  data: [
    %{
      "created_at" => 1699706818,
      "id" => "file-...",
      "message_id" => "msg_...",
      "object" => "thread.message.file"
    }
  ],
  first_id: "file-...",
  has_more: false,
  last_id: "file-...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/messages/listMessageFiles

thread_message_files(thread_id, message_id, params)

Retrieves the list of files associated with a particular message of a thread, filtered by query params.

Example request

OpenAI.thread_message_files("thread_...", "msg_...", after: "file-...")

Example response

{:ok,
%{
  data: [
    %{
      "created_at" => 1699706818,
      "id" => "file-...",
      "message_id" => "msg_...",
      "object" => "thread.message.file"
    }
  ],
  first_id: "file-...",
  has_more: false,
  last_id: "file-...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/messages/listMessageFiles

thread_message_file(thread_id, message_id, file_id)

Retrieves the message file object.

Example request

OpenAI.thread_message_file("thread_...", "msg_...", "file-...")

Example response

{:ok,
%{
  created_at: 1699706818,
  id: "file-...",
  message_id: "msg_...",
  object: "thread.message.file"
}}

See: https://platform.openai.com/docs/api-reference/messages/getMessageFile

thread_runs(thread_id, params)

Retrieves the list of runs associated with a particular thread, filtered by query params.

Example request

OpenAI.thread_runs("thread_...", limit: 10)

Example response

{:ok, %{
  data: [],
  first_id: nil,
  has_more: false,
  last_id: nil,
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/runs/listRuns

thread_run(thread_id, run_id)

Retrieves a particular thread run by its id.

Example request

OpenAI.thread_run("thread_...", "run_...")

Example response

{:ok,
 %{
   assistant_id: "asst_J",
   cancelled_at: nil,
   completed_at: 1700234149,
   created_at: 1700234128,
   expires_at: nil,
   failed_at: nil,
   file_ids: [],
   id: "run_",
   instructions: "You are an AI learning assistant.",
   last_error: nil,
   metadata: %{"key_3" => "value 3"},
   model: "gpt-4-1106-preview",
   object: "thread.run",
   started_at: 1700234129,
   status: "expired",
   thread_id: "thread_",
   tools: [%{"type" => "retrieval"}]
 }}

See: https://platform.openai.com/docs/api-reference/runs/getRun

thread_run_create(thread_id, params)

Creates a run for a thread using a particular assistant.

Example request

params = [
  assistant_id: "asst_...",
  model: "gpt-4-1106-preview",
  tools: [%{
    "type" => "retrieval"
  }]
]
OpenAI.thread_run_create("thread_...", params)

Example response

{:ok,
%{
  assistant_id: "asst_...",
  cancelled_at: nil,
  completed_at: nil,
  created_at: 1699711115,
  expires_at: 1699711715,
  failed_at: nil,
  file_ids: ["file-..."],
  id: "run_...",
  instructions: "...",
  last_error: nil,
  metadata: %{},
  model: "gpt-4-1106-preview",
  object: "thread.run",
  started_at: nil,
  status: "queued",
  thread_id: "thread_...",
  tools: [%{"type" => "retrieval"}]
}}

See: https://platform.openai.com/docs/api-reference/runs/createRun

thread_run_modify(thread_id, run_id, params)

Modifies an existing thread run.

Example request

params = [
  metadata: %{
    key_3: "value 3"
  }
]
OpenAI.thread_run_modify("thread_...", "run_...", params)

Example response

 {:ok,
%{
  assistant_id: "asst_...",
  cancelled_at: nil,
  completed_at: 1699711125,
  created_at: 1699711115,
  expires_at: nil,
  failed_at: nil,
  file_ids: ["file-..."],
  id: "run_...",
  instructions: "...",
  last_error: nil,
  metadata: %{"key_3" => "value 3"},
  model: "gpt-4-1106-preview",
  object: "thread.run",
  started_at: 1699711115,
  status: "expired",
  thread_id: "thread_...",
  tools: [%{"type" => "retrieval"}]
}}

See: https://platform.openai.com/docs/api-reference/runs/modifyRun

thread_run_submit_tool_outputs(thread_id, run_id, params)

When a run has the status: "requires_action" and required_action.type is submit_tool_outputs, this endpoint can be used to submit the outputs from the tool calls once they're all completed. All outputs must be submitted in a single request.

Example request

params = [
  tool_outputs: [%{
    tool_call_id: "call_abc123",
    output: "test"
  }]
]
OpenAI.thread_run_submit_tool_outputs("thread_...", "run_...", params)

Example response

{:ok,
  %{
    assistant_id: "asst_abc123",
    cancelled_at: nil,
    completed_at: nil,
    created_at: 1699075592,
    expires_at: 1699076192,
    failed_at: nil,
    file_ids: [],
    id: "run_abc123",
    instructions: "You tell the weather.",
    last_error: nil,
    metadata: %{},
    model: "gpt-4",
    object: "thread.run",
    started_at: 1699075592,
    status: "queued",
    thread_id: "thread_abc123",
    tools: [
      %{
        "function" => %{
          "description" => "Determine weather in my location",
          "name" => "get_weather",
          "parameters" => %{
            "properties" => %{
              "location" => %{
                "description" => "The city and state e.g. San Francisco, CA",
                "type" => "string"
              },
              "unit" => %{"enum" => ["c", "f"], "type" => "string"}
            },
            "required" => ["location"],
            "type" => "object"
          }
        },
        "type" => "function"
      }
    ]
  }
}

See: https://platform.openai.com/docs/api-reference/runs/submitToolOutputs

thread_run_cancel(thread_id, run_id)

Cancels an in_progress run.

Example request

OpenAI.thread_run_cancel("thread_...", "run_...")

Example response

 {:ok,
%{
  assistant_id: "asst_...",
  cancelled_at: nil,
  completed_at: 1699711125,
  created_at: 1699711115,
  expires_at: nil,
  failed_at: nil,
  file_ids: ["file-..."],
  id: "run_...",
  instructions: "...",
  last_error: nil,
  metadata: %{"key_3" => "value 3"},
  model: "gpt-4-1106-preview",
  object: "thread.run",
  started_at: 1699711115,
  status: "expired",
  thread_id: "thread_...",
  tools: [%{"type" => "retrieval"}]
}}

See: https://platform.openai.com/docs/api-reference/runs/cancelRun

thread_run_steps(thread_id, run_id)

Retrieves the list of steps associated with a particular run of a thread.

Example request

OpenAI.thread_run_steps("thread_...", "run_...")

Example response

 {:ok,
%{
  data: [
    %{
      "assistant_id" => "asst_...",
      "cancelled_at" => nil,
      "completed_at" => 1699897927,
      "created_at" => 1699897908,
      "expires_at" => nil,
      "failed_at" => nil,
      "id" => "step_...",
      "last_error" => nil,
      "object" => "thread.run.step",
      "run_id" => "run_...",
      "status" => "completed",
      "step_details" => %{
        "message_creation" => %{"message_id" => "msg_..."},
        "type" => "message_creation"
      },
      "thread_id" => "thread_...",
      "type" => "message_creation"
    }
  ],
  first_id: "step_...",
  has_more: false,
  last_id: "step_...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/runs/listRunSteps

thread_run_steps(thread_id, run_id, params)

Retrieves the list of steps associated with a particular run of a thread, filtered by query params.

Example request

OpenAI.thread_run_steps("thread_...", "run_...", order: "asc")

Example response

 {:ok,
%{
  data: [
    %{
      "assistant_id" => "asst_...",
      "cancelled_at" => nil,
      "completed_at" => 1699897927,
      "created_at" => 1699897908,
      "expires_at" => nil,
      "failed_at" => nil,
      "id" => "step_...",
      "last_error" => nil,
      "object" => "thread.run.step",
      "run_id" => "run_...",
      "status" => "completed",
      "step_details" => %{
        "message_creation" => %{"message_id" => "msg_..."},
        "type" => "message_creation"
      },
      "thread_id" => "thread_...",
      "type" => "message_creation"
    }
  ],
  first_id: "step_...",
  has_more: false,
  last_id: "step_...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/runs/listRunSteps

thread_run_steps(thread_id, run_id, params)

Retrieves the list of steps associated with a particular run of a thread, filtered by query params.

Example request

OpenAI.thread_run_steps("thread_...", "run_...", order: "asc")

Example response

 {:ok,
%{
  data: [
    %{
      "assistant_id" => "asst_...",
      "cancelled_at" => nil,
      "completed_at" => 1699897927,
      "created_at" => 1699897908,
      "expires_at" => nil,
      "failed_at" => nil,
      "id" => "step_...",
      "last_error" => nil,
      "object" => "thread.run.step",
      "run_id" => "run_...",
      "status" => "completed",
      "step_details" => %{
        "message_creation" => %{"message_id" => "msg_..."},
        "type" => "message_creation"
      },
      "thread_id" => "thread_...",
      "type" => "message_creation"
    }
  ],
  first_id: "step_...",
  has_more: false,
  last_id: "step_...",
  object: "list"
}}

See: https://platform.openai.com/docs/api-reference/runs/listRunSteps

thread_run_step(thread_id, run_id, step_id)

Retrieves a thread run step by its id.

Example request

OpenAI.thread_run_step("thread_...", "run_...", "step_...")

Example response

{:ok,
%{
  assistant_id: "asst_...",
  cancelled_at: nil,
  completed_at: 1699897927,
  created_at: 1699897908,
  expires_at: nil,
  failed_at: nil,
  id: "step_...",
  last_error: nil,
  object: "thread.run.step",
  run_id: "run_...",
  status: "completed",
  step_details: %{
    "message_creation" => %{"message_id" => "msg_..."},
    "type" => "message_creation"
  },
  thread_id: "thread_...",
  type: "message_creation"
}}

See: https://platform.openai.com/docs/api-reference/runs/getRunStep

Deprecated APIs

The following APIs are deprecated, but currently supported by the library for retrocompatibility with older versions. If you are using the following APIs consider to remove it ASAP from your project!

Note: from version 0.5.0 search, answers, classifications API are not supported (since they has been removed by OpenAI), if you still need them consider to use v0.4.2

engines() (DEPRECATED: use models instead)

Get the list of available engines

Example request

OpenAI.engines()

Example response

{:ok, %{
  "data" => [
    %{"id" => "davinci", "object" => "engine", "max_replicas": ...},
    ...,
    ...
  ]
}

See: https://beta.openai.com/docs/api-reference/engines/list

engines(engine_id)

Retrieve specific engine info

Example request

OpenAI.engines("davinci")

Example response

{:ok, %{
    "id" => "davinci",
    "object" => "engine",
    "max_replicas": ...
  }
}

See: https://beta.openai.com/docs/api-reference/engines/retrieve

License

The package is available as open source under the terms of the MIT License.

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Metadata

Openai.ex

Installation

Configuration

Configuration override

Usage overview

models()

Example request

Example response

models(model_id)

Example response

completions(params)

Example request

Example response

completions(engine_id, params) (DEPRECATED)

Example request

Example response

chat_completion()

Example request

Example response

chat_completion() with stream

Example request

Example response

edits()

Example request

Example response

images_generations(params)

Example request

Example response

images_edits(file_path, params)

Example Request

Example Response

images_variations(file_path, params)

Example Request

Example Response

embeddings(params)

Example request

Example response

audio_speech(params)

Example request

Example response

audio_transcription(file_path, params)

Example request

Example response

audio_translation(file_path, params)

Example request

Example response

files()

Example request

Example response

files(file_id)

Example request

Example response

files_upload(file_path, params)

Example request

Example response

files_delete(file_id)

Example request

Example response

finetunes()

Example request

Example response

finetunes(finetune_id)

Example request

Example response

finetunes_create(params)

Example request

Example response

finetunes_list_events(finetune_id)

Example request

Example response

finetunes_cancel(finetune_id)

Example request

Example response

finetunes_delete_model(finetune_id)

Example request

Example response

moderations(params)

Example request

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