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Conversations API session management
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Manually managing message lists for conversations that span multiple devices or have long interruptions can lead to context loss. Alibaba Cloud Model Studio provides an OpenAI-compatible Conversations API that you can use with the Responses API to automatically inject historical context. This eliminates the need for manual message synchronization and ensures conversational continuity across different scenarios and devices.
Create conversation
Creates a new conversation. You can optionally include initial message items.
North China 2 (Beijing): POSThttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations
Singapore: POSThttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations
Important
The legacy URL path /api/v2/apps/protocols/compatible-mode/v1/responses will soon be deprecated. Migrate to the new path /compatible-mode/v1/responses as soon as possible.
Important
The legacy Singapore domain https://dashscope-intl.aliyuncs.com will be discontinued. Migrate to https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com as soon as possible.
itemsarray (Optional) A list of up to 20 initial message items. Properties typestring (Required) The message type. Only message is supported. rolestring (Required) The role of the message. Instructions from the system and developer roles have a higher priority than instructions from the user role. The assistant role indicates messages that were generated by the model in previous interactions. Valid values are user, assistant, system, and developer. contentstring or array (Required) The message content. This parameter supports plain text strings or structured content lists, such as ResponseInputText object arrays. The list format can include various content types, such as text. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) conversation = client.conversations.create( metadata={"topic": "demo"}, items=[ {"type": "message", "role": "system", "content": "Alice, a gentle and resilient woman, was born in Singapore. She is 20 years old, and her hobbies are music and chess."} ] ) print(conversation) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const conversation = await client.conversations.create({ metadata: { topic: "demo" }, items: [ { type: "message", role: "system", content: "Alice, a gentle and resilient woman, was born in Singapore. She is 20 years old, and her hobbies are music and chess." } ] }); console.log(conversation); bash curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations' \ --header 'Content-Type: application/json' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' \ --data '{ "metadata": { "topic": "demo" }, "items": [ { "type": "message", "role": "system", "content": "Alice, a gentle and resilient woman, was born in Singapore. She is 20 years old, and her hobbies are music and chess." } ] }' |
metadataobject (Optional) The conversation metadata. Use this parameter to store additional conversation information in a structured format. Specify up to 16 key-value pairs. The key can be up to 64 characters long, and the value can be up to 512 characters long. |
Response parameters
created_atinteger The Unix timestamp in milliseconds that indicates when the conversation was created. | json { "created_at": 1771316949128, "id": "conv_xxx", "metadata": { "topic": "demo" }, "object": "conversation" } |
idstring The unique ID of the conversation. | |
metadataobject The conversation metadata. This parameter stores additional information as key-value pairs. It can contain up to 16 pairs. The key can be up to 64 characters long, and the value can be up to 512 characters long. | |
objectstring The object type. The value is fixed as conversation. |
Retrieve conversation
Retrieves information for a specified conversation.
North China 2 (Beijing): GEThttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}
Singapore: GEThttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}
conversation_idstring (Required, Path) The conversation ID. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) conversation = client.conversations.retrieve("conv_xxx") print(conversation) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const conversation = await client.conversations.retrieve( "conv_xxx" ); console.log(conversation); bash curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations/conv_xxx' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' |
Response parameters
created_atinteger The Unix timestamp in milliseconds that indicates when the conversation was created. | json { "created_at": 1771316949128, "id": "conv_xxx", "metadata": { "topic": "demo" }, "object": "conversation" } |
idstring The unique ID of the conversation. | |
metadataobject The conversation metadata. This parameter stores additional information as key-value pairs. It can contain up to 16 pairs. The key can be up to 64 characters long, and the value can be up to 512 characters long. | |
objectstring The object type. The value is fixed as conversation. |
Update conversation
Updates the metadata for a conversation.
North China 2 (Beijing): POSThttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}
Singapore: POSThttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}
conversation_idstring (Required, Path) The ID of the conversation. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) updated = client.conversations.update( "conv_xxx", metadata={"topic": "update"} ) print(updated) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const updated = await client.conversations.update( "conv_xxx", { metadata: { topic: "update" } } ); console.log(updated); bash curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations/conv_xxx' \ --header 'Content-Type: application/json' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' \ --data '{ "metadata": { "topic": "update" } }' |
metadataobject (Required) The conversation metadata. This parameter completely overwrites the existing metadata. Specify up to 16 key-value pairs. The key can be up to 64 characters long, and the value can be up to 512 characters long. |
Response parameters
created_atinteger The Unix timestamp in milliseconds that indicates when the conversation was created. | json { "created_at": 1771318152759, "id": "conv_xxx", "metadata": { "topic": "update" }, "object": "conversation" } |
idstring The unique ID of the conversation. | |
metadataobject The conversation metadata. This parameter stores additional information as key-value pairs. It can contain up to 16 pairs. The key can be up to 64 characters long, and the value can be up to 512 characters long. | |
objectstring The object type. The value is fixed as conversation. |
Delete conversation
Deletes a specified conversation. Message items within the conversation are not deleted.
North China 2 (Beijing): DELETEhttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}
Singapore: DELETEhttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}
conversation_idstring (Required, Path) The conversation ID. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) result = client.conversations.delete("conv_xxx") print(result) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const result = await client.conversations.del( "conv_xxx" ); console.log(result); bash curl --location --request DELETE 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations/conv_xxx' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' |
Response parameters
deletedboolean Indicates whether the deletion was successful. | json { "deleted": true, "id": "conv_xxx", "object": "conversation.deleted" } |
idstring The ID of the deleted conversation. | |
objectstring The object type. The value is fixed as conversation.deleted. |
Create items
Adds message items to a specified conversation.
North China 2 (Beijing): POSThttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items
Singapore: POSThttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items
conversation_idstring (Required, Path) The ID of the conversation. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) items = client.conversations.items.create( "conv_xxx", items=[ { "type": "message", "role": "user", "content": [{"type": "input_text", "text": "Alice's major is teacher education"}], } ], ) print(items.data) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const items = await client.conversations.items.create( "conv_xxx", { items: [ { type: "message", role: "user", content: [{ type: "input_text", text: "Alice's major is teacher education" }] } ] } ); console.log(items.data); bash curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations/conv_xxx/items' \ --header 'Content-Type: application/json' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' \ --data '{ "items": [ { "type": "message", "role": "user", "content": [{ "type": "input_text", "text": "Alice's major is teacher education" }] } ] }' |
itemsarray (Required) A list of message items. You can add up to 20 items at a time. Properties typestring (Required) The message type. Only message is supported. rolestring (Required) The role of the message. Instructions from the system and developer roles have a higher priority than instructions from the user role. The assistant role indicates messages that were generated by the model in previous interactions. Valid values are user, assistant, system, and developer. contentstring or array (Required) The message content. This parameter supports plain text strings or structured content lists, such as ResponseInputText object arrays. The list format can include various content types, such as text. |
Response parameters
dataarray[object] A list of the created message items. Properties idstring The unique ID of the message item. contentstring or array The message content. This can be a plain text string or a structured content list, such as a ResponseInputText object array. rolestring The role of the message. Valid values are user, assistant, system, and developer. statusstring The processing status of the message. Valid values are in_progress, completed, and incomplete. typestring The type of the message item. The value is fixed as message. | json { "data": [ { "content": [ { "text": "Alice's major is teacher education", "type": "input_text" } ], "id": "msg_xxx", "role": "user", "status": "completed", "type": "message" } ], "first_id": "msg_xxx", "has_more": false, "last_id": "msg_xxx" } |
first_idstring The ID of the first message item in the list. | |
has_moreboolean Indicates whether more data is available. | |
last_idstring The ID of the last message item in the list. |
List items
Lists all message items in a conversation.
North China 2 (Beijing): GEThttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items
Singapore: GEThttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items
conversation_idstring (Required, Path) The ID of the conversation. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) items = client.conversations.items.list("conv_xxx") print(items.data) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const items = await client.conversations.items.list( "conv_xxx" ); console.log(items.data); bash curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations/conv_xxx/items?limit=10&order=asc' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' |
afterstring (Optional) The pagination cursor. Returns only message items created after the specified message ID. | |
orderstring (Optional) The sort order. Valid values are asc for ascending and desc for descending. The default value is desc. | |
limitinteger (Optional) The number of items to return. The value must be an integer from 1 to 100. The default value is 20. |
Response parameters
dataarray[object] A list of the message items. Properties idstring The unique ID of the message item. contentstring or array The message content. This can be a plain text string or a structured content list, such as a ResponseInputText object array. rolestring The role of the message. Valid values are user, assistant, system, and developer. statusstring The processing status of the message. Valid values are in_progress, completed, and incomplete. typestring The type of the message item. The value is fixed as message. | json { "data": [ { "content": [ { "text": "Alice, a gentle and resilient woman, was born in Singapore. She is 20 years old, and her hobbies are music and chess.", "type": "input_text" } ], "id": "msg_7639f8f6-484b-454a-8125-96a3f40eb9e8", "role": "user", "status": "completed", "type": "message" }, { "content": [ { "text": "Alice's best friend is Bob", "type": "input_text" } ], "id": "msg_288594f6-6ef1-4519-94d4-a545ca311828", "role": "user", "status": "completed", "type": "message" } ], "first_id": "msg_7639f8f6-484b-454a-8125-96a3f40eb9e8", "has_more": false, "last_id": "msg_288594f6-6ef1-4519-94d4-a545ca311828", "object": "list" } |
first_idstring The ID of the first message item in the list. | |
has_moreboolean Indicates whether more data is available. | |
last_idstring The ID of the last message item in the list. | |
objectstring The object type. The value is fixed as list. |
Retrieve item
Retrieves the details for a specified message item.
North China 2 (Beijing): GEThttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items/{item_id}
Singapore: GEThttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items/{item_id}
conversation_idstring (Required, Path) The ID of the conversation. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) item = client.conversations.items.retrieve( "msg_xxx", conversation_id="conv_xxx" ) print(item) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const item = await client.conversations.items.retrieve( "msg_xxx", { conversation_id: "conv_xxx" } ); console.log(item); bash curl --location 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations/conv_xxx/items/msg_xxx' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' |
item_idstring (Required, Path) The ID of the message item. |
Response parameters
contentarray[object] A list of message content that contains one or more content objects. Properties typestring The content type, such as input_text for user input text or output_text for model output text. textstring The text content. | json { "content": [ { "text": "Alice's major is teacher education", "type": "input_text" } ], "id": "msg_xxx", "role": "user", "status": "completed", "type": "message" } |
idstring The unique ID of the message item. | |
rolestring The role of the message. Valid values are user, assistant, system, and developer. | |
statusstring The processing status of the message. Valid values are in_progress, completed, and incomplete. | |
typestring The type of the message item. The value is fixed as message. |
Delete item
Deletes a specified message item.
North China 2 (Beijing): DELETEhttps://dashscope.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items/{item_id}
Singapore: DELETEhttps://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/conversations/{conversation_id}/items/{item_id}
conversation_idstring (Required, Path) The ID of the conversation. | Python Node.js cURL python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), base_url="https://dashscope.aliyuncs.com/compatible-mode/v1", ) result = client.conversations.items.delete( "msg_xxx", conversation_id="conv_xxx" ) print(result) javascript import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.DASHSCOPE_API_KEY, baseURL: "https://dashscope.aliyuncs.com/compatible-mode/v1", }); const result = await client.conversations.items.del( "msg_xxx", { conversation_id: "conv_xxx" } ); console.log(result); bash curl --location --request DELETE 'https://dashscope.aliyuncs.com/compatible-mode/v1/conversations/conv_xxx/items/msg_xxx' \ --header 'Authorization: Bearer $DASHSCOPE_API_KEY' |
item_idstring (Required, Path) The ID of the message item. |
Response parameters
deletedboolean Indicates whether the item was successfully deleted. | json { "deleted": true, "id": "msg_xxx", "object": "conversation.item.deleted" } |
idstring The ID of the deleted message item. | |
objectstring The object type. The value is fixed as conversation.item.deleted. |
Use conversations in the Responses API
Use the conversation parameter of the Responses API to maintain context in multi-turn conversations.
Do not pass both
previous_response_idandconversationat the same time. Otherwise, the following error occurs:[400] INVALID_REQUEST: Mutually exclusive parameters: Ensure you are only providing one of: previous_response_id or conversation.
Python
Node.js
python
import os
from openai import OpenAI
client = OpenAI(
api_key=os.getenv("DASHSCOPE_API_KEY"),
base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
conversation = client.conversations.create(
items=[\
{\
"type": "message",\
"role": "system",\
"content": "Alice, a gentle and resilient woman, was born in Singapore. She is 20 years old, and her hobbies are music and chess.",\
}\
]
)
response1 = client.responses.create(
conversation=conversation.id, model="qwen3.7-plus", input="How old is Alice?"
)
print(f"First response: {response1.output_text}")
response2 = client.responses.create(
conversation=conversation.id, model="qwen3.7-plus", input="What are her hobbies?"
)
print(f"Second response: {response2.output_text}")javascript
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
});
const conversation = await client.conversations.create({
items: [\
{\
type: "message",\
role: "system",\
content: "Alice, a gentle and resilient woman, was born in Singapore. She is 20 years old, and her hobbies are music and chess."\
}\
]
});
const response1 = await client.responses.create({
conversation: conversation.id,
model: "qwen3.7-plus",
input: "How old is Alice?"
});
console.log("First response:", response1.output_text);
const response2 = await client.responses.create({
conversation: conversation.id,
model: "qwen3.7-plus",
input: "What are her hobbies?"
});
console.log("Second response:", response2.output_text);Limitations
When you create a conversation or add message items, the
itemsarray can contain up to 20 entries.The
metadataobject can contain up to 16 key-value pairs. The key can be up to 64 characters long, and the value can be up to 512 characters long.
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Create conversation
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Use conversations in the Responses API
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