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session-compact

AI DevKit · Compact a historical AI coding session with Jev when context is long, work is handed off or resumed, or durable continuation facts and memory candidates need extraction.

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codeaholicguy/ai-devkit
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September 24, 2026 at 11:50
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session-compact
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AI DevKit · Compact a historical AI coding session with Jev when context is long, work is handed off or resumed, or durable continuation facts and memory candidates need extraction.
# Session Compact Use AI DevKit's Jev-backed CLI to create a structured continuation artifact from a historical session. Prefer this command over a hand-written compact when it is available. ## When to Use - Context is getting long and useful state needs to survive compaction. - Work is being handed to another agent or resumed after becoming stale. - A complex implementation or debugging session is closing. - Durable memory candidates or task-progress facts need to be identified after a long run. ## Workflow 1. Find the session ID when it is not already known: ```bash npx ai-devkit@latest agent sessions --all ``` 2. Produce Markdown for a human handoff: ```bash npx ai-devkit@latest agent session compact --id <session-id> ``` 3. Use JSON for automation or structured inspection: ```bash npx ai-devkit@latest agent session compact --id <session-id> --format json ``` 4. Add `--type <provider>` when the same session ID is ambiguous across providers. 5. Review the artifact before using its resume prompt, memory candidates, or validation claims. Compaction preserves selected transcript evidence; it does not independently verify that evidence. ## Jev Availability The command requires `TYPESAFE_API_KEY`. If it reports: ```text Jev is unavailable because TYPESAFE_API_KEY is not set. ``` report that result clearly and stop the compaction attempt. Do not silently replace it with hand-written summarization or imply that Jev classified the session. A user may explicitly request a separate manual summary afterward. Never print, log, store, or pass the API key as a command argument. The CLI reads it from the environment. ## Boundaries - The command is read-only and does not write memories or mutate tasks. - Treat memory candidates as proposals until they pass the memory skill's quality gate. - Record task progress separately when the task workflow requires it. - API, authentication, schema, or network failures with a configured key are errors, not Jev-unavailable results.
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