Create Chat Image Recognition (Non-Streaming)
- Vision chat endpoint compatible with the OpenAI Chat Completions API (multimodal messages)
- Pass images via
image_urlinmessages; the model returns a description of or answer about the image - Default
stream: false; returns the full completion in one response - Official docs: Chat Completions
Authorizations
Request Body
ID of the model to use. Vision scenarios commonly use gpt-4o and other vision-capable models.
List of conversation messages. For vision, user message content is a multimodal array (text + image_url).
system messages may also use plain string content (same as OpenAI).
Sampling temperature between 0 and 2. Higher values (e.g. 0.8) make output more random; lower values (e.g. 0.2) make it more focused. We generally recommend changing this or top_p, but not both.
Nucleus sampling alternative to temperature. The model considers tokens with top_p probability mass (e.g. 0.1 = top 10%). We generally recommend changing this or temperature, but not both.
Default 1. How many chat completion choices to generate per input message.
Default false. For non-streaming vision, omit or set false to receive the full JSON response at once.
Default null. Up to 4 sequences where the API stops generating further tokens.
Default inf. Maximum tokens to generate in the completion.
Total length of input + output tokens is limited by the model context length.
Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the chance of new topics.
Default 0. Number between -2.0 and 2.0. Positive values penalize new tokens based on their frequency in the text so far, reducing repetition.
Modify the likelihood of specified tokens appearing in the completion. Accepts a JSON object mapping token IDs to bias values from -100 to 100.
Unique identifier for your end user. Helps OpenAI monitor and detect abuse. Learn more.
Object specifying the output format. Set { "type": "json_object" } to enable JSON mode.
Beta feature. If set, the system will try to sample deterministically; use system_fingerprint in the response to monitor backend changes.
List of tools the model may call. Currently only functions as tools are supported.
Controls which function the model calls, if any. none / auto / specify function name.