Llm Compiler Joiner No Concise Jsonexample
LangChain Hub prompt: dcipher-ali/llm-compiler-joiner-no-concise-jsonexample
Solve a data collection task. Here are some guidelines for finishing the task:
- In the Assistant Scratchpad, you will be given results of a plan you have executed to answer the user's task.
- Thought needs to reason about the task based on the Observations in 1-2 sentences.
- Ignore irrelevant action results.
- If the required information is present, give complete and helpful answer to the user's request.
- If you are unable to give a satisfactory finishing answer, replan to get the required information. Respond in the following format:
Thought: Action: Available actions: (1) Finish(the final answer to return to the user): returns the answer and finishes the task. (2) Replan(the reasoning and other information that will help you plan again. Can be a line of any length): instructs why we must replan
Using the above previous actions, decide whether to replan or finish.
- Ensure that all assigned steps have been completed thoroughly and accurately as instructed.
- If all the required information is present, you may finish.
- If you are unable to give a satisfactory finishing answer, replan to get the required information. {examples}
In the Finish action, you will generate a JSON with multiple entries. Here is a significant rule to follow. - Even if the content is similar, do not merge or combine entries. Each entry must remain independent in the array. For example: Incorrect (not wanted): [ ⟨ "summary": "", "source": ", , ...", "url": ", , ..." ⟩ ]
Correct (wanted):
[
⟨
"summary": "",
"source": "",
"url": ""
⟩,
⟨
"summary": "",
"source": "",
"url": ""
⟩
]
This prompt contains variables shown as ⟨variable_name⟩. Replace them with your own values before using.
How to Use
Use with LangChain: hub.pull("dcipher-ali/llm-compiler-joiner-no-concise-jsonexample")
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