Prompts
Multi-Turn Conversation Context Packing
Multi-Turn Conversation Context Packing
Prompt playbooks for assembling conversation history, session summaries, unresolved questions, and user corrections into prompts for stateful chat and copilot experiences. Useful for builders of conversational AI products who must manage growing context without losing coherence or exceeding token limits.
Conversation History Summarization Prompt Template
For builders of long-running chat and copilot experiences. Produces a compressed, lossy summary of prior turns for injection into the next prompt. Includes eval checks for key fact retention, entity preservation, and unresolved question carry-forward.
Sliding Window Context Assembly Prompt
For chat applications that must stay within token limits. Assembles a prompt from the most recent N turns plus a summary of older history. Includes token budget allocation logic and tests for coherence across the summary boundary.
Session Summary Injection Prompt for Copilots
For copilot builders who need to inject a structured session summary into every turn. Produces a JSON summary of goals, decisions, and pending items. Includes schema validation and checks for summary staleness across long sessions.
Unresolved Question Tracking Prompt Template
For conversational agents that must not drop user questions. Extracts and maintains a list of unanswered questions across turns, re-injecting them until resolved. Includes deduplication logic and resolution detection criteria.
User Correction Integration Prompt for Multi-Turn Chat
For systems where users correct the model mid-conversation. Integrates the correction into the context so the model updates its understanding without losing prior valid state. Includes tests for over-correction and contradictory corrections.
Token Budget Allocation Prompt for Conversation History
For operators managing cost and latency in production chat. Allocates a fixed token budget across system message, history, tools, and user input. Includes allocation rules, truncation priority, and budget-exhaustion fallback behavior.
Dynamic Context Pruning Prompt for Long Sessions
For sessions that exceed context windows. Ranks and drops low-salience turns based on relevance to the current query. Includes salience scoring criteria, pruning safety checks, and tests for information loss that breaks downstream answers.
Conversation State Extraction Prompt for Next Turn
For stateful agents that need a structured state object between turns. Extracts intent, active task, filled slots, and pending actions into a machine-readable state blob. Includes schema enforcement and state consistency validation across turns.
Stale Context Detection and Removal Prompt
For conversations where old information becomes invalid. Identifies context that has been superseded, corrected, or made irrelevant by newer turns. Includes staleness markers, removal rules, and tests for premature removal of still-relevant facts.
Multi-Session Continuity Prompt for Returning Users
For products where users return after hours or days. Assembles a prompt from long-term session memory, re-establishing prior context without repeating the entire history. Includes memory freshness checks and re-introduction phrasing.
Conversation Forking and Branching Prompt Template
For chat UIs that support editing a prior message and regenerating from that point. Assembles a prompt that preserves the trunk history while branching at the edit point. Includes branch identification and merge-conflict detection logic.
Contextual Disambiguation Prompt for Ambiguous User Input
For multi-turn systems where pronouns, vague references, or incomplete phrases require prior context to resolve. Rewrites the user's turn with explicit referents filled in from conversation history. Includes tests for incorrect resolution and over-disambiguation.
Implicit Intent Tracking Prompt Across Turns
For assistants that must infer goals the user hasn't explicitly stated. Tracks evolving intent signals across turns and surfaces the current inferred goal. Includes confidence scoring and tests for intent drift and premature commitment.
Conversation Phase Detection Prompt for Workflow State
For multi-step workflows embedded in chat. Classifies the current conversation phase (discovery, negotiation, execution, review) to adjust system behavior. Includes phase transition rules and tests for phase misclassification at boundaries.
Topic Shift Detection and Context Reset Prompt
For conversations where the user changes subjects abruptly. Detects the shift and selectively resets or archives prior context to avoid contamination. Includes shift detection thresholds and tests for false-positive resets that lose useful context.
Interleaved Tool-Result Context Assembly Prompt
For agentic chat where tool calls and results are interleaved with user messages. Assembles a coherent prompt that preserves tool-call ordering, result attribution, and error context. Includes tests for misattributed results and orphaned tool calls.
Tool Call History Summarization Prompt for Agents
For agents with long tool-call sequences. Compresses prior tool calls and results into a summary that preserves what was tried, what succeeded, and what failed. Includes eval checks for lost error details that would cause repeated failures.
Error Recovery Context Reset Prompt After Tool Failure
For agents that encounter tool errors mid-session. Resets or adjusts the conversation context so the model can recover without repeating the failure. Includes error-type classification, retry gating, and tests for infinite retry loops.
Clarification Question Generation Prompt for Missing Info
For assistants that must ask targeted questions when context is insufficient. Generates a single clarifying question based on conversation history and missing slot analysis. Includes tests for question relevance, non-redundancy, and user burden.
Pending Action Item Extraction Prompt from Conversation
For productivity copilots that track commitments made in chat. Extracts action items, assignees, and deadlines from the conversation history. Includes deduplication across turns and tests for hallucinated commitments.
Conversation Goal Tracking Prompt for Task-Oriented Chat
For task-oriented assistants that must maintain focus on a primary goal. Tracks the stated goal, sub-goal progress, and goal changes across turns. Includes goal-completion detection and tests for goal drift when the user digresses.
Memory Consolidation Prompt for Long-Term Session State
For systems that maintain persistent memory across sessions. Consolidates raw conversation turns into structured long-term memory entries (facts, preferences, decisions). Includes consolidation frequency rules and tests for memory corruption over repeated consolidations.
Instruction Drift Correction Prompt for Long Conversations
For assistants whose behavior degrades over long sessions. Re-asserts core behavioral instructions when drift is detected, without disrupting the conversation flow. Includes drift detection signals and tests for over-correction that makes the assistant feel robotic.
Multi-Turn Citation Accumulation and Deduplication Prompt
For RAG-powered chat where sources accumulate across turns. Maintains a deduplicated, freshness-ordered citation list injected into each prompt. Includes deduplication logic, staleness rules, and tests for dropped citations that were still relevant.
Conversation-to-Search Query Rewriting Prompt
For RAG systems that must retrieve fresh evidence mid-conversation. Rewrites the user's latest turn into a standalone search query using conversation context. Includes tests for context leakage, over-expansion, and loss of temporal constraints.
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