在OpenAI的API文档中,对于聊天模型(如gpt-3.5-turbo),响应通常包含一个choices列表,每个choice对象包含生成的消息。 如果代码中出现错误,可能是因为API版本更新导致响应结构变化,或者代码中错误地访问了不存在的属性。 根据错误信息,对照OpenAI API文档,找出可能的错误原因: 常见的错误原因包括:使用了错误的API函数(如...
choices[0].text) def test_embedding(): embedding = openai.Embedding.create(model=model, input="Hello world!") print(len(embedding["data"][0]["embedding"])) def test_chat_completion(): completion = openai.ChatCompletion.create( model=model, messages=[{"role": "user", "content": "...
data: {"id": "chatcmpl-81ac59df-6615-4967-9462-a0d4bcb002dd", "model": "llama3.2-3b-it-q6", "created": 1733773199, "object": "chat.completion.chunk", "choices": [{"index": 0, "delta": {"content": " provide"}, "logprobs": null, "finish_reason": null}]} * TLSv1.2 ...
choices[0].delta.content; 55 + console.log({ message }); 56 + } 57 + 58 + // Vector DB functionality 59 + console.log("Fetching /vector_stores"); 60 + const vectorDBList = await client.beta.vectorStores.list(); 61 + for await (const db of vectorDBList) { 62 +...
choices[0].delta.content or "", end="") ⚙️ Configuration Environment Variables LLM_USER_PATH: Custom directory for logs and data Default: System-specific app directory Logs Generated: llm_model_gateway.log: Event logging logs.db: SQLite metrics database 📊 Metrics Every request is...
model=model_id,choices=[choice_data],object="chat.completion.chunk" 462469 ) 463- yield"{}".format(chunk.model_dump_json(exclude_unset=True)) 470+ yield"{}".format(_dump_json(chunk,exclude_unset=True)) 464471 yield"[DONE]" 465472 ...
206 + ErrorCode.VALIDATION_TYPE_ERROR, 207 + f"Streaming is not yet supported.", 208 + ) 209 + # async def StreamResults() -> AsyncGenerator[bytes, None]: 210 + # # First chunk with role 211 + # firstChoices = [] ...
in <module> from streamlit.runtime.scriptrunner import add_script_run_ctx ModuleNotFoundError: No module named 'streamlit' Would it be possible to have a startingexample to run run_prewriting.py with ollama/mistral/generic open ai so we can test it further?
32 + object: str = "chat.completion" 33 + created: int = Field(default_factory=lambda: int(time.time())) 34 + choices: List[ChatCompletionResponseChoice] 35 + usage: Optional[Dict[str, int]] = None fastchat/serve/api.py +154 Original file line numberDiff line numberDiff...
427 434 model=model_id, choices=[choice_data], object="chat.completion.chunk" 428 435 ) 429 - yield "{}".format(chunk.model_dump_json(exclude_unset=True)) 436 + yield "{}".format(_dump_json(chunk, exclude_unset=True)) ...