Send Message

Send a message to the specified conversation ID and get the bot response message. Supports submitting text and/or images as message content .

Request Method

POST

Request URL

https://api.gptbots.ai/v1/conversation/message

Request Authentication

See Overview for authentication details.

Request

Example Request

curl -X POST https://api.gptbots.ai/v1/conversation/message \ -H 'Authorization: Bearer your_apikey' \ -H 'Content-Type: application/json' \ -d '{ "text": "HI！", "conversation_id": "xxxxxx", "response_mode": "streaming", "short_term_memory": true, "long_term_memory": false, "files":[ { "url": "https://res.gptbots.cc/ailab/botchat/file/38f13465ad5246190b759b3289ecba51.jpg", "name": "something.jpg", "width": 200, "height": 200 }, { "base64_content": "Your_file_base64_content", "name": "something.pdf" } ], "knowledge": { "data_ids": [ "1111111111", "2222222222" ] } }'

          curl -X POST https://api.gptbots.ai/v1/conversation/message \ 
  -H 'Authorization: Bearer your_apikey' \ 
  -H 'Content-Type: application/json' \ 
  -d '{
        "text": "HI！",
        "conversation_id": "xxxxxx",
        "response_mode": "streaming",
        "short_term_memory": true,
        "long_term_memory": false,
        "files":[
          {
            "url": "https://res.gptbots.cc/ailab/botchat/file/38f13465ad5246190b759b3289ecba51.jpg",
            "name": "something.jpg",
            "width": 200,
            "height": 200
          },
          {
            "base64_content": "Your_file_base64_content", 
            "name": "something.pdf"
          }
        ],
        "knowledge": {
            "data_ids": [
                "1111111111",
                "2222222222"
            ]
        }
}'

Este bloque de código en la ventana flotante

Field	Type	Description
Authorization	Bearer ${token}	Use Authorization: Bearer ${token} for authentication. Get the key from the API Keys page as token.
Content-Type	application/json	Data type, set to application/json.

Request Body

Field	Type	Required	Description
text	string	Yes	Either text or files must be entered. The user's text message, the length of the text content cannot exceed the token length limit set by the Bot configuration.
files	JSON Array	Yes	text and files must have at least one input. Files are used to submit images, audio, and document-type data to the Bot. The Bot supports two file recognition schemes: "System File Recognition" and "LLM File Recognition." Different recognition schemes support different file types. Network paths for file submission are supported, with a maximum of 9 files uploaded. Documents ≤20MB, images ≤10MB, audio ≤5MB. LLM File Recognition The supported file types depend on the capabilities of each LLM. If it's a flowbot, the intersection of all LLM-supported file types is taken. System File Recognition The GPTBots system recognizes uploaded files and converts them to text. Document types: .pdf, .txt, .docx, .csv, .xlsx, .html, .c, .cpp, .java, .json, .md, .php, .pptx, .py, .rb, .tex, .css, .js, .ts, .xml Image types: .jpg, .jpeg, .png, .gif, .webp Audio types: .mp3, .wav, .acc File Submission Specifications base64_content, string, file stream (choose one with file URL link) url, string, file URL link (choose one with file stream) name, string, file name width, int, image width (required for image types) height, int, image height (required for image types)
conversation_id	string	Yes	Conversation ID, pass in to continue previous conversation.
response_mode	string	Yes	blocking: Blocking, wait for completion before returning result. (Long requests may be interrupted) streaming: Streaming response, based on SSE (Server-Sent Events).
short_term_memory	boolean	No	Does this message send carry short-term memory within the conversation as context? If not filled out, follow the memory settings of the Bot.
long_term_memory	boolean	No	Does this message send carry long-term memory within the conversation as context? If not filled out, follow the memory settings of the Bot.
knowledge	object	No	The message sent this time, in the knowledge base retrieval, only retrieves the knowledge data defined in this parameter as the retrieval scope.
- data_ids	array	No	The knowledge ID for knowledge base retrieval. If this parameter is not submitted, it is considered as no restriction on the retrieval range, that is, querying all knowledge documents of the entire Bot. If this parameter is submitted, and the array is empty, such as `[]`, it is considered as not retrieving any knowledge documents. If there are `data_ids` in the array, the retrieval is performed based on these `data_ids`.

Response

Example Response

{ "message_id": "65a4ccfC7ce58e728d5897e0", "message_type": "ANSWER", "text": "Hi, is there anything I can help you?", "flow_output": [ { "content": "Hello", "branch": "1", "from_component_name": "User Input" } ], "create_time": 1679587005, "conversation_id": "657303a8a764d47094874bbe" }

          {
  "message_id": "65a4ccfC7ce58e728d5897e0",
  "message_type": "ANSWER",
  "text": "Hi, is there anything I can help you?",
  "flow_output": [
    {
      "content": "Hello",
      "branch": "1", 
      "from_component_name": "User Input"
    }
  ],
  "create_time": 1679587005,
  "conversation_id": "657303a8a764d47094874bbe"
}

Este bloque de código en la ventana flotante

Success Response (Blocking)

Field	Type	Description
message_id	string	Unique message ID.
message_type	string	Message type, value: ANSWER, QUESTION.
text	string	Reply text.
flow_output	JSON Array	flow bot reply content.
content	string	flow bot component reply text.
branch	string	flow bot branch.
from_component_name	string	flow bot upstream component name.
create_time	long	Timestamp when reply message was created.
conversation_id	string	Conversation ID.

Success Response (Streaming)

Field	Type	Description
code	int	Message type code, 3-Text, 10-FlowOutput, 0-End.
message	string	Message type, value: Text, FlowOutput, End.
data	object	Reply content.

Streaming data is returned in multiple chunks:

{"code":3,"message":"Text","data":"I"} {"code":3,"message":"Text","data":"can"} {"code":3,"message":"Text","data":"help"} {"code":3,"message":"Text","data":"you"} {"code":3,"message":"Text","data":"?"} {"code":10,"message":"FlowOutput","data":[{"content":"Hello","branch":null,"from_component_name":"User Input"}]} {"code":0,"message":"End","data":null}

          {"code":3,"message":"Text","data":"I"}
{"code":3,"message":"Text","data":"can"}  
{"code":3,"message":"Text","data":"help"}
{"code":3,"message":"Text","data":"you"}
{"code":3,"message":"Text","data":"?"}
{"code":10,"message":"FlowOutput","data":[{"content":"Hello","branch":null,"from_component_name":"User Input"}]}
{"code":0,"message":"End","data":null}

Este bloque de código en la ventana flotante

Failure Response

Field	Type	Description
code	int	Error code.
message	string	Error details.

Error Codes

Code	Message
40000	Invalid parameter
40127	Developer authentication failed
40356	Conversation does not exist
50000	Internal server error
40364	This Bot does not use an LLM that supports image mode
20059	Bot deleted
20040	Exceeded question limit
40358	conversation_id does not match bot or user
20022	Credit not enough