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fix:remove print
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@@ -108,7 +108,6 @@ class ModelScopeChatCompletions(requester.ProviderAPIRequester):
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message_delta['role'] = 'assistant'
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message_delta['tool_calls'] = tool_calls if tool_calls else None
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# print(message_delta)
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return [message_delta]
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async def _make_msg(
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@@ -120,7 +119,6 @@ class ModelScopeChatCompletions(requester.ProviderAPIRequester):
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# 确保 role 字段存在且不为 None
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if 'role' not in chatcmpl_message or chatcmpl_message['role'] is None:
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chatcmpl_message['role'] = 'assistant'
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print(chatcmpl_message)
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message = llm_entities.Message(**chatcmpl_message)
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return message
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@@ -122,7 +122,6 @@ class DashScopeAPIRunner(runner.RequestRunner):
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)
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idx_chunk = 0
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try:
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# print(await query.adapter.is_stream_output_supported())
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is_stream = await query.adapter.is_stream_output_supported()
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except AttributeError:
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@@ -251,7 +250,6 @@ class DashScopeAPIRunner(runner.RequestRunner):
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# 处理API返回的流式输出
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try:
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# print(await query.adapter.is_stream_output_supported())
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is_stream = await query.adapter.is_stream_output_supported()
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except AttributeError:
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@@ -148,7 +148,6 @@ class LocalAgentRunner(runner.RequestRunner):
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if tool_call.function and tool_call.function.arguments:
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# 流式处理中,工具调用参数可能分多个chunk返回,需要追加而不是覆盖
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tool_calls_map[tool_call.id].function.arguments += tool_call.function.arguments
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# print(list(tool_calls_map.values()) if (tool_calls_map and msg.is_final) else None)
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# continue
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# 每8个chunk或最后一个chunk时,输出所有累积的内容
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if msg_idx % 8 == 0 or msg.is_final:
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