My current project is targeting gpt-3.5, and doing system-message/prompt tweaking - so parse failures are to be expected. However, I want to handle the error gracefully - retrying, summarizing failed attempts, apologizing and moving on, etc - depending on the specifics of my project. The ha...
我尝试使用正常的聊天提示模板,结果仍然一样。
sql_db_chain=SQLDatabaseChain.from_llm(llm,db,prompt=few_shot_prompt,use_query_checker=False,verbose=True,return_intermediate_steps=True,intermediate_steps=['Action Input','Observation'].# add this line to define which `intermediate_steps` do you want, default is ['result', 'intermediate_ste...
if "chatglm3" in model_container.MODEL.model_name or "zhipu-api" in model_container.MODEL.model_name: agent_executor = initialize_glm3_agent( llm=model, tools=tools, callback_manager=None, prompt=prompt_template, input_variables=["input", "intermediate_steps", "history"], memory=memory, ...
1. Press button "Attach & Snoop Process..." 2. Choose Java process in the list 3. Press button "Use this as session (and attach)" What is the expected output? What do you see instead? Status "SNOOPING". JavaSnoop error: "Could not initialize agent: Agent JAR loaded but agent failed...