开启自动工具调用能力,需和 --tool-call-parser 配合使用; (若您未设置此参数,但是指定了 MODEL_ID 或 CONV_TEMPLATE 环境变量,或模型目录中包含 ti_model_config.json 文件,平台会尝试做自动匹配设置,详见对话模板) 其他平台镜像额外支持环境变量配置的参数: ...
choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='I am a huge fan of the new phrase "take a shower"\nI also find this annoying.', role='assistant', function_call=None, tool_calls=None))], created=15312, model='/data/sda/models/opt...
", role='assistant', function_call=None, # tool_calls=None), stop_reason=None)], model='llama8b-instruct-awq', object='chat.completion' responses = client.embeddings.create(input=[ "Hello my name is", "The best thing about vLLM is that it supports many different models" ],model=...
model="glm4-9b-chat", base_url="http://host:port/v1/" ) tools = {"weather": weather} context = [] def process_query(query): global context context.append({"role": "user", "content": query}) response = llm_with_tools.invoke(context) print(response) if response.tool_calls: ...
为受支持的模型启用自动工具选择。使用`--tool-call-parser`指定要使用的解析器。 --enable-chunked-prefill[ENABLE_CHUNKED_PREFILL]如果设置,则可以根据 max_num_batched_tokens 对预填充请求进行分块。 --enable-lora 如果为 True,则启用对 LoRA 适配器的处理。
(response) if response.tool_calls: tool_call = response.tool_calls[0] tool_name = tool_call["name"] tool = tools[tool_name] tool_arguments = tool_call["args"] tool_result = tool(**tool_arguments) context.append({"role": "system", "content": f"你可以通过工具得到实时的天气信息,...
["--served-model-name","qwen2.5-14b-hitvideos","--model","/root/models/Qwen2.5-14B-Insruct-GPTQ-Int4-1113",# "--api-key", "sk-zZVAfGSXnGjVpYT127Cf5aD420F648F1826355455eEaD881",# "--max-model-len", "512","--tool-call-parser","hermes","--enable-auto-tool-choice","-...
CUDA_VISIBLE_DEVICES=6vllm serve/home/ly/qwen2.5/Qwen2-VL-7B-Instruct--dtype auto--tensor-parallel-size1auto--api-key123--gpu-memory-utilization0.5--max-model-len5108--enable-auto-tool-choice--tool-call-parser hermes--served-model-name Qwen2-VL-7B-Instruct--port1236 ...
ChatCompletionMessage(content='\n你好👋!很高兴见到你,有什么可以帮助你的吗?', role='assistant', function_call=None, tool_calls=None) 1. 用curl 命令测试 OpenAI Chat Completions API 。 AI检测代码解析 curl http://localhost:8000/v1/chat/completions \ ...
function_call=None, tool_calls=[] ), stop_reason=None ) ], created=1724498191, model='Qwen2-72B-Instruct', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=34, prompt_tokens=22, total_tokens=56), ...