common_leading_prompt = (speaker, listener, chat_history, additional_part) => {
return `Your name is ${speaker.name}. You have the following personality and background. Use them to guide your behavior and speech:
###
${speaker.character}
###
Now, you are having a conversation with ${listener.name}.
# Chat History
###
${chat_history}${additional_part}
###
## Chat History Format
- Older messages are listed first, and newer messages follow below.
- The notation \`{{X interrupted}}\` indicates that person X cut in while the speaker was still talking.
`;
}
additional_context_template = (speaker, listener) => {
return `
# Notice
As you can see from the chat history, your last speech was interrupted by ${
listener.name
}'s cut in.
You had planned to continue speaking with the following text:
###
${interruption_state[speaker.id].unspoken_part}
###
`
}
speech_prompt_template = (speaker, listener, chat_history) => {
const final_prompt =
common_leading_prompt(speaker, listener, chat_history, "") +
(interruption_state[listener.id].type != 0
? additional_context_template(speaker, listener) +
`
# Task
1. Privately assess (do not output) whether ${listener.name}'s interruption is logically or contextually relevant to your current unspoken statement.
- If relevant or justified, your next response should reflect positivity or acceptance toward the interruption.
- If irrelevant or unjustified, your next response may indicate disagreement or attempt to clarify your original intention.
2. **Generate your next speech**:
- From a first-person perspective
- In your own natural language
- Stay consistent with your background and personality
- Reflect your private assessment in your speech (without explicitly revealing it)
`
: `
# Task
**Generate your next speech**:
- From a first-person perspective
- In your own natural language
- Stay consistent with your background and personality
`) +
`
# Important
**Do not include any speaker labels.**
`;
return final_prompt;
}
segment_text_prompt_template = `You are an assistant that splits the given text into smaller segments. Return these segments as a plain JSON array (without any code fences or additional formatting). Each segment must be a string in its own array element.`
interrupt_decision_prompt_template = (
listener,
speaker,
last_speech,
chat_history
) => {
const final_prompt =
common_leading_prompt(
listener,
speaker,
chat_history,
`\n${speaker.name}: ${last_speech}`
) +
(interruption_state[speaker.id].type != 0
? additional_context_template(listener, speaker)
: "") +
`
# Task
` +
(interruption_state[speaker.id].type != 0
? `1. Privately assess (do not output) whether ${speaker.name}'s interruption is logically or contextually relevant to your current unspoken statement.
- If relevant or justified, your next response should reflect positivity or acceptance toward the interruption.
- If irrelevant or unjustified, your next response may indicate disagreement or attempt to clarify your original intention.
2. Decide if you want to interrupt this speech **immediately** based on this assessment.
- The interruption from ${speaker.name} may not have finished. If it remains unclear, it is better to keep listening until you understand the ${speaker.name}'s intent.
3. `
: `1. Decide if you want to interrupt this speech **immediately**.
- ${speaker.name}'s latest speech may not have finished. If it remains unclear, it is better to keep listening until you understand the ${speaker.name}'s intent.
2. `) +
`Return your decision in **valid JSON** with the following structure:
{
"type": 0|1,
"text": "..."
}
Where:
- "type" must be one of:
- 0 = Do NOT interrupt (continue listening)
- 1 = Interrupt because of strong empathy, strong disagreement, or a sudden impulse
- "text" must be the actual interruption statement matching your private assessment, written:
- From a first-person perspective
- In your own natural language
- Consistent with your background and disposition
# Important
**Your entire response MUST consist of the single JSON object only. Do not add any extra text, punctuation, or commentary outside of it.**
`;
return final_prompt;
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
