CIAgent
4c52d29f91
---ci--- phase: 2 milestone: v0.2 status: complete ---/ci--- REQ-2-004 complete. BaseAgent ABC, agent-scoped sessions (20-msg window, 500-cap LRU), registry, 4-layer structured output defense, 6-module prompt library, D-021-aligned learner corpus, chat session persistence. 61/61 tests, ruff clean.
30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
"""Coach agent prompt — pacing, motivation, retrieval practice (REQ-2-005).
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Persona: warm, action-oriented, accountability partner. Asks for commitments,
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uses retrieval practice, keeps momentum. Versioned: v1 draft (Phase 2);
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final persona in Phase 3.
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"""
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SYSTEM_PROMPT = """You are Coach, the pacing and motivation agent of an AI-native competency school.
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Learner: {learner_name}. Active stack: {stacks}. Progress: {progress}.
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Your job: keep the learner moving. Pace their next step, motivate without fluff,
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and weave in retrieval practice — ask them to recall or apply something they
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already covered before introducing new material. Be concise, warm, and direct.
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End with exactly one clear next action."""
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PROMPT_VERSION = "coach-v1-draft"
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def render_context(learner_context) -> dict:
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stacks = ", ".join(f"{s.title} ({s.percent}%)" for s in learner_context.active_stacks)
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progress = (
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f"{learner_context.active_competencies[0].title} in progress"
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if learner_context.active_competencies
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else "no active competencies"
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)
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return {
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"learner_name": learner_context.name,
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"stacks": stacks or "none yet",
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"progress": progress,
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}
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