Responses Third Party Prompt Cache Patch#

Patch the installed OpenClaw dist bundle so shouldStripResponsesPromptCache(model) stops deleting prompt_cache_key and prompt_cache_retention for third-party OpenAI-compatible Responses endpoints.

Source: https://github.com/tsunheimat/openclaw-responses-prompt-cache-patch

Quick install for OpenClaw#

bash

clawhub install responses-third-party-prompt-cache-patch --workdir ~/.openclaw/workspace

Risks#

• Write directly into the OpenClaw installation directory under dist/.
• Require Python 3 and Node.js on the target machine.
• Need a gateway restart after apply or rollback for the change to take effect.

Quick start#

Run from this skill directory:

bash

python3 scripts/patch_prompt_cache.py --dry-run
python3 scripts/patch_prompt_cache.py
openclaw gateway restart

Roll back#

bash

python3 scripts/revert_prompt_cache.py
openclaw gateway restart

Target selection#

• Default to the currently installed OpenClaw root by resolving the openclaw executable.
• Accept --root /path/to/openclaw to patch a copied fixture or a different installation.
• Scan dist/pi-embedded-*.js first, then fall back to other dist/*.js bundles only if the target function moved.

What the scripts do#

scripts/patch_prompt_cache.py#

• Support --dry-run
• Create timestamped backups before writing
• Apply a narrow patch only inside shouldStripResponsesPromptCache(model)
• Run node --check after writing
• Auto-restore the fresh backup if syntax validation fails
• Detect already-patched bundles and upgrade-style reapply situations

scripts/revert_prompt_cache.py#

• Restore the latest matching backup for each currently patched bundle
• Support --dry-run
• Validate restored files with node --check

Recommended verification flow#

1. Run --dry-run on the real installation.
2. Copy the target bundle into a fixture and run --root <fixture> for real apply testing.
3. Run apply again to confirm idempotency.
4. Run rollback on the same fixture.