Back to catalog / Agent context
Control context and preserve key state in long agent tasks
Define compressible history and facts that must persist in long tasks to avoid context bloat or loss of constraints.
Goal
Compress redundant history across turns while preserving goals, decisions, and pending actions.
Steps
- List goals, constraints, evidence sources, and unfinished work that must persist. [openai-context] [openai-running]
- Mark long history, repeated tool output, and resolved issues as removable. [openai-context] [openai-running]
- Use SDK-supported context management or compaction and keep structured checkpoints before and after. [openai-context] [openai-running]
- Re-read the summarized context against constraints and verify key facts remain traceable. [openai-context] [openai-running]
- Test context reduction in a long session and ensure the agent neither repeats completed work nor forgets safety boundaries. [openai-context] [openai-running]
How to verify
After context reduction, the long-session test retains goals, constraints, sources, and status and continues unfinished work.
Troubleshooting
If key facts disappear, strengthen the retained-state checklist and test the compressed context against the original constraints.
Permissions
Prerequisites
- Python 3.10+, openai-agents compatible with the pinned revision, and authorized model-provider credentials (except local mock tests)
Permissions
- Use a local or isolated test environment; use least privilege and approval for external data or side effects
Limitations
SDK behavior varies by version. Check the pinned revision against your agent or client, then review data retention, authorization, and side effects before production use.
Pinned upstream source
- Repository
- openai/openai-agents-python
- File path
- docs/context.md
- Pinned commit
f53c62451c7f34c15f0c87fa745e05404025420f- Source checked
- 2026-10-14 · Reviewed against the pinned upstream source
Repository metrics
These values describe the upstream repository, not popularity or likes for an individual skill or playbook.
- Stars
- Not collected
- Forks
- Not collected
- Observed at
- Not collected
No metrics snapshot is available yet.
License: MIT
Main topic
Turn ecommerce campaign materials into a reviewable weekly brief