Responses

Gunakan CometAPI POST /v1/responses untuk menghasilkan output model tingkat lanjut dengan input multimodal, chat stateful, built-in tools, dan function calling.

POST /v1/responses

Python

Text Input

from openai import OpenAI client = OpenAI( base_url="https://api.cometapi.com/v1", api_key="<COMETAPI_KEY>", ) response = client.responses.create( model="gpt-5.4", input="Tell me a three sentence bedtime story about a unicorn.", ) print(response.output_text)

200

{
  "id": "resp_0a153ae8201f73bc0069a7e8044cc481",
  "object": "response",
  "created_at": 1772611588,
  "status": "completed",
  "background": false,
  "completed_at": 1772611589,
  "error": null,
  "incomplete_details": null,
  "instructions": null,
  "max_output_tokens": null,
  "model": "gpt-4.1-nano",
  "output": [
    {
      "id": "msg_0a153ae8201f73bc0069a7e8049a8881",
      "type": "message",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "annotations": [],
          "text": "Four."
        }
      ],
      "role": "assistant"
    }
  ],
  "parallel_tool_calls": true,
  "previous_response_id": null,
  "prompt_cache_key": null,
  "prompt_cache_retention": null,
  "reasoning": {
    "effort": null,
    "summary": null
  },
  "safety_identifier": null,
  "service_tier": "auto",
  "store": true,
  "temperature": 1,
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "medium"
  },
  "tool_choice": "auto",
  "tools": [],
  "top_p": 1,
  "truncation": "disabled",
  "usage": {
    "input_tokens": 19,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 9,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 28
  },
  "user": null,
  "metadata": {}
}

​

Gambaran Umum

Responses API adalah endpoint CometAPI untuk menghasilkan respons model tingkat lanjut. API ini menyediakan antarmuka yang lebih kaya dibandingkan Chat Completions, dengan dukungan bawaan untuk input multimodal, percakapan stateful, integrasi tool, dan output terstruktur — semuanya melalui satu endpoint.

​

Kemampuan Utama

• Multimodal Input — Menerima teks, gambar, file (termasuk PDF), dan URL sebagai input
• Stateful Conversations — Rangkai respons bersama menggunakan previous_response_id atau conversation tanpa harus mengelola riwayat pesan sendiri
• Built-in Tools — Gunakan web_search_preview, file_search, code_interpreter, dan lainnya tanpa pengaturan apa pun
• Function Calling — Definisikan fungsi kustom yang dapat dipanggil model dengan argumen terstruktur
• Structured Outputs — Minta output yang sesuai JSON Schema melalui parameter text.format
• Reasoning Models — Konfigurasikan kedalaman reasoning dengan parameter reasoning.effort untuk model o-series dan gpt-5
• Streaming — Stream respons melalui SSE dengan jenis event yang terperinci (response.output_text.delta, response.completed, dll.)

​

Catatan Penting

Variasi Model — Penyedia model yang berbeda mungkin mendukung parameter request yang berbeda dan mengembalikan field respons yang bervariasi. Tidak semua parameter didukung oleh setiap model yang tersedia di CometAPI.

Prinsip Pass-through — CometAPI meneruskan request ke penyedia model dan mengembalikan respons mereka tanpa modifikasi, memastikan Anda menerima output yang konsisten dengan API aslinya. Objek respons menggemakan kembali banyak parameter request (seperti temperature, tools, reasoning) untuk transparansi.

​

Event Streaming

Saat stream diatur ke true, API mengirim server-sent events (SSE) dalam urutan berikut:

1. response.created — Objek respons diinisialisasi
2. response.in_progress — Generasi dimulai
3. response.output_item.added — Item output baru (pesan atau pemanggilan tool)
4. response.content_part.added — Bagian konten dimulai
5. response.output_text.delta — Potongan teks (berisi field delta dengan fragmen teks)
6. response.output_text.done — Pembuatan teks selesai untuk bagian konten ini
7. response.content_part.done — Bagian konten selesai
8. response.output_item.done — Item output selesai
9. response.completed — Respons lengkap dengan data usage

​

Dokumentasi Referensi

Untuk deskripsi parameter yang detail, lihat playground API interaktif di atas. Untuk dokumentasi penyedia:

• Text Inputs and Outputs
• Image Inputs
• File Inputs (PDF)
• Structured Outputs
• Function Calling
• Conversation State
• Built-in Tools
• Reasoning Models

---

Otorisasi

Authorization · string · header · wajib

Bearer token authentication. Use your CometAPI key.

Body

application/json

model · string · wajib

Model ID to use for this request. See the Models page for current options.

Contoh:

"gpt-5.4"

input · string object[] · wajib

Text, image, or file inputs to the model, used to generate a response. Can be a simple string for text-only input, or an array of input items for multimodal content (images, files) and multi-turn conversations.

instructions · string

A system (or developer) message inserted into the model's context. When used with previous_response_id, instructions from the previous response are not carried over — this makes it easy to swap system messages between turns.

background · boolean · default: false

Whether to run the model response in the background. Background responses do not return output directly — you retrieve the result later via the response ID.

context_management · object[]

Context management configuration for this request. Controls how the model manages context when the conversation exceeds the context window.

Show child attributes

conversation · string object

The conversation this response belongs to. Items from the conversation are prepended to input for context. Input and output items are automatically added to the conversation after the response completes. Cannot be used with previous_response_id.

include · enum<string>[]

Additional output data to include in the response. Use this to request extra information that is not included by default.

Opsi yang tersedia: web_search_call.action.sources, code_interpreter_call.outputs, computer_call_output.output.image_url, file_search_call.results, message.input_image.image_url, message.output_text.logprobs, reasoning.encrypted_content

max_output_tokens · integer

An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens.

max_tool_calls · integer

The maximum number of total calls to built-in tools that can be processed in a response. This limit applies across all built-in tool calls, not per individual tool. Any further tool call attempts by the model will be ignored.

metadata · object

Set of up to 16 key-value pairs that can be attached to the response. Useful for storing additional information in a structured format. Keys have a maximum length of 64 characters; values have a maximum length of 512 characters.

Show child attributes

parallel_tool_calls · boolean · default: true

Whether to allow the model to run tool calls in parallel.

previous_response_id · string

The unique ID of a previous response. Use this to create multi-turn conversations without manually managing conversation state. Cannot be used with conversation.

prompt · object

Reference to a prompt template and its variables.

Show child attributes

prompt_cache_key · string

A key used to cache responses for similar requests, helping optimize cache hit rates. Replaces the deprecated user field for caching purposes.

prompt_cache_retention · enum<string>

The retention policy for the prompt cache. Set to 24h to keep cached prefixes active for up to 24 hours.

Opsi yang tersedia: in-memory, 24h

reasoning · object

Configuration options for reasoning models (o-series and gpt-5). Controls the depth of reasoning before generating a response.

Show child attributes

safety_identifier · string

A stable identifier for your end-users, used to help detect policy violations. Should be a hashed username or email — do not send identifying information directly.

Maximum string length: 64

service_tier · enum<string>

Specifies the processing tier for the request. When set, the response will include the actual service_tier used.

• auto: Uses the tier configured in project settings (default behavior).
• default: Standard pricing and performance.
• flex: Flexible processing with potential cost savings.
• priority: Priority processing with faster response times.

Opsi yang tersedia: auto, default, flex, priority

store · boolean · default: true

Whether to store the generated response for later retrieval via API.

stream · boolean · default: false

If set to true, the response data will be streamed to the client as it is generated using server-sent events (SSE). Events include response.created, response.output_text.delta, response.completed, and more.

stream_options · object

Options for streaming responses. Only set this when stream is true.

Show child attributes

temperature · number · default: 1

Sampling temperature between 0 and 2. Higher values (e.g., 0.8) increase randomness; lower values (e.g., 0.2) make output more focused and deterministic. We recommend adjusting either this or top_p, but not both.

Rentang yang diperlukan: 0 <= x <= 2

text · object

Configuration for text output. Use this to request structured JSON output via JSON mode or JSON Schema.

Show child attributes

tool_choice · string object · default: auto

Controls how the model selects which tool(s) to call.

• auto (default): The model decides whether and which tools to call.
• none: The model will not call any tools.
• required: The model must call at least one tool.
• An object specifying a particular tool to use.

tools · object[]

An array of tools the model may call while generating a response. CometAPI supports three categories:

• Built-in tools: Platform-provided tools like web_search_preview and file_search.
• Function calls: Custom functions you define, enabling the model to call your own code with structured arguments.
• MCP tools: Integrations with third-party systems via MCP servers.

top_logprobs · integer

Number of most likely tokens to return at each position (0–20), each with an associated log probability. Must include message.output_text.logprobs in the include parameter to receive logprobs.

Rentang yang diperlukan: 0 <= x <= 20

top_p · number · default: 1

Nucleus sampling parameter. The model considers tokens with top_p cumulative probability mass. For example, 0.1 means only the top 10% probability tokens are considered. We recommend adjusting either this or temperature, but not both.

Rentang yang diperlukan: 0 <= x <= 1

truncation · enum<string> · default: disabled

The truncation strategy for handling inputs that exceed the model's context window.

• auto: The model truncates the input by dropping items from the beginning of the conversation to fit.
• disabled (default): The request fails with a 400 error if the input exceeds the context window.

Opsi yang tersedia: auto, disabled

user · string · usang

Deprecated. Use safety_identifier and prompt_cache_key instead. A stable identifier for your end-user.

Respons

200 - application/json

The generated Response object.

id · string

Unique identifier for the response.

Contoh:

"resp_0a153ae8201f73bc0069a7e8044cc481"

object · enum<string>

The object type, always response.

Opsi yang tersedia: response

Contoh:

"response"

created_at · integer

Unix timestamp (in seconds) of when the response was created.

Contoh:

1772611588

status · enum<string>

The status of the response.

Opsi yang tersedia: completed, in_progress, failed, cancelled, queued

Contoh:

"completed"

background · boolean

Whether the response was run in the background.

Contoh:

false

completed_at · integer | null

Unix timestamp of when the response was completed, or null if still in progress.

Contoh:

1772611589

error · object

Error information if the response failed, or null on success.

Show child attributes

incomplete_details · object

Details about why the response is incomplete, if applicable.

Show child attributes

instructions · string | null

The system instructions used for this response.

max_output_tokens · integer | null

The maximum output token limit that was applied.

model · string

The model used for the response.

Contoh:

"gpt-4.1-nano"

output · object[]

An array of output items generated by the model. Each item can be a message, function call, or other output type.

Show child attributes

output_text · string

A convenience field containing the concatenated text output from all output message items.

parallel_tool_calls · boolean

Whether parallel tool calls were enabled.

previous_response_id · string | null

The ID of the previous response, if this is a multi-turn conversation.

reasoning · object

The reasoning configuration that was used.

Show child attributes

service_tier · string

The service tier actually used to process the request.

Contoh:

"default"

store · boolean

Whether the response was stored.

temperature · number

The temperature value used.

Contoh:

1

text · object

The text configuration used.

Show child attributes

tool_choice · string object

The tool choice setting used.

tools · object[]

The tools that were available for this response.

top_p · number

The top_p value used.

Contoh:

1

truncation · string

The truncation strategy used.

usage · object

Token usage statistics for this response.

Show child attributes

user · string | null

The user identifier, if provided.

metadata · object

The metadata attached to this response.

Show child attributes

content_filters · array | null

Content filter results applied to the response, if any.

frequency_penalty · number · default: 0

The frequency penalty applied to the request.

max_tool_calls · integer | null

Maximum number of tool calls allowed, if set.

presence_penalty · number · default: 0

The presence penalty applied to the request.

prompt_cache_key · string | null

Cache key for prompt caching, if applicable.

prompt_cache_retention · string | null

Prompt cache retention policy, if applicable.

safety_identifier · string | null

Safety system identifier for the response, if applicable.

top_logprobs · integer · default: 0

Number of top log probabilities returned per token position.