function_name = tool_call.function.name function_to_call = available_functions[function_name] function_args = json.loads(tool_call.function.arguments) function_response = function_to_call( location=function_args.get("location"), unit=function_args.get("unit"), ) messages.append( { "tool_call...
With OpenAI’s parallel function-calling feature, we can do some powerful stuff. We can use the below code to create JSON data which will be used further to call a local function. Then, It will call the local function and fetch details. After that, we take those details and hand them ...
because we are streaming in chunks I see the code that appends function names but this leads to the model failing to call functions where there are multiple function calls per completion pipecat.services.openai.OpenAIUnhandledFunctionExc...
LLMCompiler can be used with open-source models such as LLaMA, as well as OpenAI’s GPT models. Across a range of tasks that exhibit different patterns of parallel function calling, LLMCompiler consistently demonstrated latency speedup, cost saving, and accuracy improvement. For more details, ...
results. We observe consistent latency speedup of up to 3.7x, cost savings of up to 6.7x, and accuracy improvement of up to ~9% as compared to ReAct. Additionally, LLMCompiler achieves up to 1.35x latency gain over OpenAI's recent parallel function calling, while achieving similar accuracy....
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3. 函数调用和并行函数调用: 通过 FunctionCall 和 ParallelFunctionCall 返回类型实现。 4. 格式化: 自然地将 Python 对象插入提示中。 5. 异步支持: 在定义魔法函数时使用 async def。 6. 流式结构化输出: 随着输出的生成,实时使用输出。 7. 视觉支持: 从图像中轻松获取结构化输出。 8. 多个 LLM 提供商:...
Performance of preprocessing and postprocessing libraries before calling the model prediction function Underlying ML framework backend performance Model-specific and hardware-specific optimizations In this section, we focus primarily on container latency and specifically on optimizi...
6.7x cost savings, and 9% accuracy improvement. In the Game of 24 benchmarks, LLMCompiler achieved a 2x speedup compared to Tree-of-Thoughts and outperformed OpenAI’s parallel function calling feature with up to 1.35x latency gain. The open-...
vllm 当我设置tensor_parallel_size=2时，发生了一个时间错误,当tensor_parallel_size=2被使用时，输出...