Closed realethanhsu closed 2 months ago
@ethan-fly Hello there! I'm here to help you with bugs, questions, and becoming a contributor. Let's tackle this together while we wait for a human maintainer.
To correct the response structure in the OpenAPI documentation of the app for the /chat-messages
endpoint in version 0.7.1, you need to ensure that the response format is clearly defined and matches the expected output. Here is the corrected response structure:
When response_mode
is blocking
, return a ChatCompletionResponse
object.
When response_mode
is streaming
, return a ChunkCompletionResponse
stream.
Returns the complete App result, Content-Type
is application/json
.
message_id
(string): Unique message IDconversation_id
(string): Conversation IDmode
(string): App mode, fixed as chat
answer
(string): Complete response contentmetadata
(object): Metadata
usage
(Usage): Model usage informationretriever_resources
(array[RetrieverResource]): Citation and Attribution Listcreated_at
(int): Message creation timestamp, e.g., 1705395332{
"event": "message",
"message_id": "9da23599-e713-473b-982c-4328d4f5c78a",
"conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2",
"mode": "chat",
"answer": "iPhone 13 Pro Max specs are listed here:...",
"metadata": {
"usage": {
"prompt_tokens": 1033,
"prompt_unit_price": "0.001",
"prompt_price_unit": "0.001",
"prompt_price": "0.0010330",
"completion_tokens": 128,
"completion_unit_price": "0.002",
"completion_price_unit": "0.001",
"completion_price": "0.0002560",
"total_tokens": 1161,
"total_price": "0.0012890",
"currency": "USD",
"latency": 0.7682376249867957
},
"retriever_resources": [
{
"position": 1,
"dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb",
"dataset_name": "iPhone",
"document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00",
"document_name": "iPhone List",
"segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a",
"score": 0.98457545,
"content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""
}
]
},
"created_at": 1705407629
}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " I", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
For more detailed information on how to use the API, including example requests, you can refer to the API documentation provided by Dify in the Applications -> Access API section. This documentation includes sample calls for both text-generation and conversational applications, which can help you understand how to structure your requests and handle responses effectively. The ChatMessageApi
class in the api/controllers/console/app/completion.py
file handles the /chat-messages
endpoint and ensures the response structure is correctly implemented [1][2][3][4].
To continue talking to Dosu, mention @dosu.
@ethan-fly Hello there! I'm here to help you with bugs, questions, and becoming a contributor. Let's tackle this together while we wait for a human maintainer.
To correct the response structure in the OpenAPI documentation of the app for the /chat-messages
endpoint in version 0.7.1, you need to ensure that the response format is clearly defined and matches the expected output. Here is the corrected response structure:
When response_mode
is blocking
, return a ChatCompletionResponse
object.
When response_mode
is streaming
, return a ChunkCompletionResponse
stream.
Returns the complete App result, Content-Type
is application/json
.
message_id
(string): Unique message IDconversation_id
(string): Conversation IDmode
(string): App mode, fixed as chat
answer
(string): Complete response contentmetadata
(object): Metadata
usage
(Usage): Model usage informationretriever_resources
(array[RetrieverResource]): Citation and Attribution Listcreated_at
(int): Message creation timestamp, e.g., 1705395332{
"event": "message",
"message_id": "9da23599-e713-473b-982c-4328d4f5c78a",
"conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2",
"mode": "chat",
"answer": "iPhone 13 Pro Max specs are listed here:...",
"metadata": {
"usage": {
"prompt_tokens": 1033,
"prompt_unit_price": "0.001",
"prompt_price_unit": "0.001",
"prompt_price": "0.0010330",
"completion_tokens": 128,
"completion_unit_price": "0.002",
"completion_price_unit": "0.001",
"completion_price": "0.0002560",
"total_tokens": 1161,
"total_price": "0.0012890",
"currency": "USD",
"latency": 0.7682376249867957
},
"retriever_resources": [
{
"position": 1,
"dataset_id": "101b4c97-fc2e-463c-90b1-5261a4cdcafb",
"dataset_name": "iPhone",
"document_id": "8dd1ad74-0b5f-4175-b735-7d98bbbb4e00",
"document_name": "iPhone List",
"segment_id": "ed599c7f-2766-4294-9d1d-e5235a61270a",
"score": 0.98457545,
"content": "\"Model\",\"Release Date\",\"Display Size\",\"Resolution\",\"Processor\",\"RAM\",\"Storage\",\"Camera\",\"Battery\",\"Operating System\"\n\"iPhone 13 Pro Max\",\"September 24, 2021\",\"6.7 inch\",\"1284 x 2778\",\"Hexa-core (2x3.23 GHz Avalanche + 4x1.82 GHz Blizzard)\",\"6 GB\",\"128, 256, 512 GB, 1TB\",\"12 MP\",\"4352 mAh\",\"iOS 15\""
}
]
},
"created_at": 1705407629
}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " I", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": "'m", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " glad", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " to", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " meet", "created_at": 1679586595}
data: {"event": "message", "message_id": "5ad4cb98-f0c7-4085-b384-88c403be6290", "conversation_id": "45701982-8118-4bc5-8e9b-64562b4555f2", "answer": " you", "created_at": 1679586595}
For more detailed information on how to use the API, including example requests, you can refer to the API documentation provided by Dify in the Applications -> Access API section. This documentation includes sample calls for both text-generation and conversational applications, which can help you understand how to structure your requests and handle responses effectively. The ChatMessageApi
class in the api/controllers/console/app/completion.py
file handles the /chat-messages
endpoint and ensures the response structure is correctly implemented [1][2][3][4].
To continue talking to Dosu, mention @dosu.
Self Checks
Dify version
0.7.1
Cloud or Self Hosted
Self Hosted (Source)
Steps to reproduce
On the application’s accessible API page, review the example of the streamed message response structure for the
/chat-messages
endpoint.✔️ Expected Behavior
No response
❌ Actual Behavior
No response