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* parallelize hatchet (no-mistakes) * dry (no-mistakes) (minimal) * comments * self-review * self-review * self-review * self-review * pr comments * pr comments --------- Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
92 lines
3.4 KiB
Python
92 lines
3.4 KiB
Python
"""
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LLM prompts for summary generation.
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Extracted to a separate module to avoid circular imports when importing
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from summary_builder.py (which imports LLM/settings at module level).
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"""
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from textwrap import dedent
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def build_participant_instructions(participant_names: list[str]) -> str:
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"""Build participant context instructions for LLM prompts."""
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if not participant_names:
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return ""
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participants_list = ", ".join(participant_names)
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return dedent(
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f"""
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# IMPORTANT: Participant Names
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The following participants are identified in this conversation: {participants_list}
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You MUST use these specific participant names when referring to people in your response.
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Do NOT use generic terms like "a participant", "someone", "attendee", "Speaker 1", "Speaker 2", etc.
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Always refer to people by their actual names (e.g., "John suggested..." not "A participant suggested...").
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"""
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).strip()
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DETAILED_SUBJECT_PROMPT_TEMPLATE = dedent(
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"""
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Get me information about the topic "{subject}"
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# RESPONSE GUIDELINES
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Follow this structured approach to create the topic summary:
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- Highlight important arguments, insights, or data presented.
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- Outline decisions made.
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- Indicate any decisions reached, including any rationale or key factors
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that influenced these decisions.
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- Detail action items and responsibilities.
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- For each decision or unresolved issue, list specific action items agreed
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upon, along with assigned individuals or teams responsible for each task.
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- Specify deadlines or timelines if mentioned. For each action item,
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include any deadlines or timeframes discussed for completion or follow-up.
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- Mention unresolved issues or topics needing further discussion, aiding in
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planning future meetings or follow-up actions.
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- Do not include topic unrelated to {subject}.
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# OUTPUT
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Your summary should be clear, concise, and structured, covering all major
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points, decisions, and action items from the meeting. It should be easy to
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understand for someone not present, providing a comprehensive understanding
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of what transpired and what needs to be done next. The summary should not
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exceed one page to ensure brevity and focus.
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"""
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).strip()
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PARAGRAPH_SUMMARY_PROMPT = dedent(
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"""
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Summarize the mentioned topic in 1 paragraph.
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It will be integrated into the final summary, so just for this topic.
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"""
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).strip()
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RECAP_PROMPT = dedent(
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"""
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Provide a high-level quick recap of the following meeting, fitting in one paragraph.
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Do not include decisions, action items or unresolved issue, just highlight the high moments.
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Just dive into the meeting, be concise and do not include unnecessary details.
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As we already know it is a meeting, do not start with 'During the meeting' or equivalent.
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"""
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).strip()
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def build_summary_markdown(recap: str, summaries: list[dict[str, str]]) -> str:
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"""Build markdown summary from recap and subject summaries."""
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lines: list[str] = []
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if recap:
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lines.append("# Quick recap")
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lines.append("")
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lines.append(recap)
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lines.append("")
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if summaries:
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lines.append("# Summary")
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lines.append("")
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for summary in summaries:
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lines.append(f"**{summary['subject']}**")
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lines.append(summary["summary"])
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lines.append("")
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return "\n".join(lines)
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