对应的模型名称

doubao-pro-**
doubao-lite-**

doubao-1.5-pro-**
doubao-1.5-lite-**

对应的模型版本

241215 及之前

250115及以后

是否支持流式

部分支持：

• 支持：assistant的content流式返回。
• 不支持：tool_calls 信息在一个chunk返回。

是，支持content、tool_calls 字段内容流式返回。

响应示例

ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="从前", function_call=None, role="assistant", tool_calls=None
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-***",
    object="chat.completion.chunk",
)
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="xxxx", function_call=None, role="assistant", tool_calls=None
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-***",
    object="chat.completion.chunk",
)
...
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="\n",
                function_call=None,
                role="assistant",
                tool_calls=[
                    ChoiceDeltaToolCall(
                        index=0,
                        id="call_leigeybrw25cwlk87byg8l3v",
                        function=ChoiceDeltaToolCallFunction(
                            arguments='{"prompt": "有道词典", "region": "CN"}',
                            name="AppFinder",
                        ),
                        type="function",
                    )
                ],
            ),
            finish_reason="tool_calls",
            index=0,
        )
    ],
    created=1737884441,
    model="doubao-***",
    object="chat.completion.chunk",
)

ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="从前", function_call=None, role="assistant", tool_calls=None
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-1-5-***",
    object="chat.completion.chunk",
)
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="xxxx", function_call=None, role="assistant", tool_calls=None
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-1-5-***",
    object="chat.completion.chunk",
)
...
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="", function_call=None, role="assistant", tool_calls=None
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-1-5-***",
    object="chat.completion.chunk",
)
...
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="", function_call=None, role="assistant", tool_calls=None
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-1-5-***",
    object="chat.completion.chunk",
)
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="",
                function_call=None,
                role="assistant",
                tool_calls=[
                    ChoiceDeltaToolCall(
                        index=0,
                        id="call_05i***",
                        function=ChoiceDeltaToolCallFunction(
                            arguments="", name="AppFinder"
                        ),
                        type="function",
                    )
                ],
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-1-5-***",
    object="chat.completion.chunk",
)
...
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="",
                function_call=None,
                role="assistant",
                tool_calls=[
                    ChoiceDeltaToolCall(
                        index=0,
                        id=None,
                        function=ChoiceDeltaToolCallFunction(arguments='"}', name=None),
                        type=None,
                    )
                ],
            ),
            finish_reason=None,
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-1-5-***",
    object="chat.completion.chunk",
)
ChatCompletionChunk(
    id="0217***",
    choices=[
        Choice(
            delta=ChoiceDelta(
                content="", function_call=None, role="assistant", tool_calls=None
            ),
            finish_reason="tool_calls",
            index=0,
        )
    ],
    created=1737882725,
    model="doubao-1-5-***",
    object="chat.completion.chunk",
)

客户端处理代码示例

import os
from volcenginesdkarkruntime import Ark
# 从环境变量中读取方舟API Key
client = Ark(api_key=os.environ.get("ARK_API_KEY"))
stream = client.chat.completions.create(
    model="ep-2025********",
    messages=[
        {
            "role": "user",
            "content": "给我讲个故事，然后告诉我北京今天的天气",
        }
    ],
    tools=[
        # 您要调用的工具信息
        {...}
    ],
    stream=True,
)
tool_calls = []
for chunk in stream:
    if not chunk.choices:
        continue
    print(chunk.choices[0].delta.content, end="")
    # 原先使用Function Call能力返回信息
    if chunk.choices[0].delta.tool_calls:
        tool_calls.extend(chunk.choices[0].delta.tool_calls)




print("Tools: ", tool_calls)

import os
from volcenginesdkarkruntime import Ark
# 从环境变量中读取方舟API Key
client = Ark(api_key=os.environ.get("ARK_API_KEY"))
stream = client.chat.completions.create(
    model="ep-2025********",
    messages=[
        {
            "role": "user",
            "content": "给我讲个故事，然后告诉我北京今天的天气",
        }
    ],
    tools=[
        # 您要调用的工具信息
        {...}
    ],
    stream=True,
)
final_tool_calls = {}
for chunk in stream:
    if not chunk.choices:
        continue
    print(chunk.choices[0].delta.content, end="")
    # 使用新版Function Call能力返回信息代码适配，将流式返回的信息拼装后返回
    for tool_call in chunk.choices[0].delta.tool_calls or []:
        index = tool_call.index
        if index not in final_tool_calls:
            final_tool_calls[index] = tool_call
        final_tool_calls[index].function.arguments += tool_call.function.arguments

print("Tools: ", final_tool_calls)