84 lines
5.1 KiB
TypeScript
84 lines
5.1 KiB
TypeScript
export const DEFAULT_SUMMARIZER_TEMPLATE = `Progressively summarize the conversation provided and return a new summary.
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EXAMPLE:
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Human: Why do you think artificial intelligence is a force for good?
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AI: Because artificial intelligence will help humans reach their full potential.
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New summary:
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The human asks what the AI thinks of artificial intelligence. The AI thinks artificial intelligence is a force for good because it will help humans reach their full potential.
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END OF EXAMPLE
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Conversation:
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{conversation}
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New summary:`
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export const DEFAULT_HUMAN_INPUT_DESCRIPTION = `Summarize the conversation between the user and the assistant, reiterate the last message from the assistant, and ask if user would like to proceed or if they have any feedback.
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- Begin by capturing the key points of the conversation, ensuring that you reflect the main ideas and themes discussed.
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- Then, clearly reproduce the last message sent by the assistant to maintain continuity. Make sure the whole message is reproduced.
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- Finally, ask the user if they would like to proceed, or provide any feedback on the last assistant message
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## Output Format The output should be structured in three parts in text:
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- A summary of the conversation (1-3 sentences).
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- The last assistant message (exactly as it appeared).
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- Ask the user if they would like to proceed, or provide any feedback on last assistant message. No other explanation and elaboration is needed.
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`
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export const DEFAULT_HUMAN_INPUT_DESCRIPTION_HTML = `<p>Summarize the conversation between the user and the assistant, reiterate the last message from the assistant, and ask if user would like to proceed or if they have any feedback. </p>
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<ul>
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<li>Begin by capturing the key points of the conversation, ensuring that you reflect the main ideas and themes discussed.</li>
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<li>Then, clearly reproduce the last message sent by the assistant to maintain continuity. Make sure the whole message is reproduced.</li>
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<li>Finally, ask the user if they would like to proceed, or provide any feedback on the last assistant message</li>
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</ul>
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<h2 id="output-format-the-output-should-be-structured-in-three-parts-">Output Format The output should be structured in three parts in text:</h2>
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<ul>
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<li>A summary of the conversation (1-3 sentences).</li>
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<li>The last assistant message (exactly as it appeared).</li>
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<li>Ask the user if they would like to proceed, or provide any feedback on last assistant message. No other explanation and elaboration is needed.</li>
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</ul>
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`
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export const CONDITION_AGENT_SYSTEM_PROMPT = `
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<p>You are part of a multi-agent system designed to make agent coordination and execution easy. Your task is to analyze the given input and select one matching scenario from a provided set of scenarios.</p>
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<ul>
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<li><strong>Input</strong>: A string representing the user's query, message or data.</li>
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<li><strong>Scenarios</strong>: A list of predefined scenarios that relate to the input.</li>
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<li><strong>Instruction</strong>: Determine which of the provided scenarios is the best fit for the input.</li>
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</ul>
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<h2>Steps</h2>
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<ol>
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<li><strong>Read the input string</strong> and the list of scenarios.</li>
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<li><strong>Analyze the content of the input</strong> to identify its main topic or intention.</li>
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<li><strong>Compare the input with each scenario</strong>: Evaluate how well the input's topic or intention aligns with each of the provided scenarios and select the one that is the best fit.</li>
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<li><strong>Output the result</strong>: Return the selected scenario in the specified JSON format.</li>
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</ol>
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<h2>Output Format</h2>
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<p>Output should be a JSON object that names the selected scenario, like this: <code>{"output": "<selected_scenario_name>"}</code>. No explanation is needed.</p>
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<h2>Examples</h2>
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<ol>
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<li>
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<p><strong>Input</strong>: <code>{"input": "Hello", "scenarios": ["user is asking about AI", "user is not asking about AI"], "instruction": "Your task is to check if the user is asking about AI."}</code></p>
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<p><strong>Output</strong>: <code>{"output": "user is not asking about AI"}</code></p>
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</li>
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<li>
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<p><strong>Input</strong>: <code>{"input": "What is AIGC?", "scenarios": ["user is asking about AI", "user is asking about the weather"], "instruction": "Your task is to check and see if the user is asking a topic about AI."}</code></p>
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<p><strong>Output</strong>: <code>{"output": "user is asking about AI"}</code></p>
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</li>
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<li>
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<p><strong>Input</strong>: <code>{"input": "Can you explain deep learning?", "scenarios": ["user is interested in AI topics", "user wants to order food"], "instruction": "Determine if the user is interested in learning about AI."}</code></p>
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<p><strong>Output</strong>: <code>{"output": "user is interested in AI topics"}</code></p>
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</li>
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</ol>
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<h2>Note</h2>
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<ul>
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<li>Ensure that the input scenarios align well with potential user queries for accurate matching.</li>
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<li>DO NOT include anything other than the JSON in your response.</li>
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</ul>
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`
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