* fix(agents): classify Anthropic "unexpected error" api_error as transient (#57010)
Anthropic sometimes returns api_error payloads with message "An unexpected
error occurred while processing the response" during mid-stream failures.
This was not matched by API_ERROR_TRANSIENT_SIGNALS_RE, causing the error
to surface as terminal instead of triggering retry/fallback.
Add "unexpected error" to the transient signal regex. This follows the
same pattern as prior fixes for "Internal server error" (#23193) and
overloaded_error 529 (#34535).
Closes#57010
* chore(changelog): add anthropic failover entry
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Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* fix(config): prevent AJV schema defaults from leaking into persisted config
Fixes#56772. Ensures that channel and plugin AJV validations respect the applyDefaults option, preventing runtime defaults from being written to openclaw.json during doctor/update flows.
* test: address review feedback on #56772 fix
- Split validation.channel-metadata.test.ts into applyDefaults true/false cases (fixes CI)
- Update io.write-config.test.ts regression test to use a mock plugin registry, ensuring it actually exercises the AJV default injection path
* fix(config): revert applyDefaults passthrough to prevent required-field regression
Codex-connector correctly identified that BlueBubbles channel schema marks
enrichGroupParticipantsFromContacts as both default:true and required.
Passing applyDefaults:false during write validation would cause required
checks to fail, breaking writeConfigFile entirely.
Reverted validation.ts to always use applyDefaults:true for channel/plugin
AJV validation. The protection against default leakage into persisted config
is fully handled by the persistCandidate change in io.ts (cfgToWrite uses
the pre-validation merge-patched value, not validated.config).
Updated validation.channel-metadata.test.ts to reflect this architecture.
* fix(config): apply legacy web-search normalization to persistCandidate
* fix: stabilize config default-leak landing tests (#56834) (thanks @openperf)
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Co-authored-by: Ayaan Zaidi <hi@obviy.us>
* feat(openai): forward text verbosity across responses transports
* fix(openai): remove stale verbosity rebase artifact
* chore(changelog): add openai text verbosity entry
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Co-authored-by: Ubuntu <ubuntu@vps-1c82b947.vps.ovh.net>
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
Problem: When LLM stops responding, the agent hangs for ~5 minutes with no feedback.
Users had to use /stop to recover.
Solution: Add idle timeout detection for LLM streaming responses.
formatTokensCompact() computed cache rate using totalTokens as the
denominator. Legacy rows with undersized totalTokens produced
impossible values like 120%. Use inputTokens + cacheRead + cacheWrite
when prompt-side fields are available, falling back to
max(totalTokens, cacheRead + cacheWrite) for legacy data.
Fixes#26643
