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    • Model APIs
      • Chat API
        • Chat
        • GPTs
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        • gpt-4-all(Image)
        • gpt-4-vision-preview
      • Chat Completions API
        • Chat Completions API
      • Image API
        • Midjourney
          • InsightFace task submission
            • Submit swap_face task
          • Task Submission
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            • Submit Blend Task
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          • Task Inquiry
            • Inquire about all tasks
            • Inquire about tasks based on a list of IDs
            • Paged query for tasks
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            • Cancel task
            • Retrieve task with specified ID
            • Get the seed for the task image
        • DALL·E 3
        • Stable Diffusion
        • MJ Chat
        • gpt-4-all(generate images)
      • Embedding Vector Generation Interface (Embeddings)
        • Create Embeddings
      • Audio
        • Create transcription
        • Create translation
        • Text to speech
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    Send Request

    You can paste the following command into your terminal to execute your first API request. Ensure that you replace YOUR_API_KEY with the token you generated in the Modelless Hub dashboard (sk-xxx).
    This request queries the model to complete the text starting with the prompt “Say this is a test gpt-3.5-turbo”. You should receive a response similar to the following:
    
    1 {
    2    "id":"chatcmpl-abc123",
    3    "object":"chat.completion",
    4    "created":1677858242,
    5    "model":"gpt-3.5-turbo-0301",
    6    "usage":{
    7       "prompt_tokens":13,
    8       "completion_tokens":7,
    9       "total_tokens":20
    10    },
    11    "choices":[
    12       {
    13          "message":{
    14             "role":"assistant",
    15             "content":"\n\nThis is a test!"
    16          },
    17          "finish_reason":"stop",
    18          "index":0
    19       }
    20    ]
    21 }
    You have now generated your first chat completion. We observe that finish_reason is stop, indicating that the API has returned a complete output generated by the model. In the previous request, we generated only one message, but you can set the n parameter to generate multiple message options. In this example, gpt-3.5-turbo is primarily used for traditional text completion tasks. The model is also optimized for chat applications.
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