* fix(imessage): prevent echo loop from leaking internal metadata and amplifying NO_REPLY into queue overflow
- Add outbound sanitization at channel boundary (sanitize-outbound.ts):
strips thinking/reasoning tags, relevant-memories tags, model-specific
separators (+#+#), and assistant role markers before iMessage delivery
- Add inbound reflection guard (reflection-guard.ts): detects and drops
messages containing assistant-internal markers that indicate a reflected
outbound message, preventing recursive echo amplification
- Harden echo cache: increase text TTL from 5s to 30s to catch delayed
reflections that previously expired before the echo could be detected
- Add loop rate limiter (loop-rate-limiter.ts): per-conversation rapid-fire
detection that suppresses conversations exceeding threshold within a
time window, acting as a safety net against amplification
Closes#33281
* fix(imessage): address review — stricter reflection regex, loop-aware rate limiter
- Reflection guard: require closing > bracket on thinking/final/memory
tag patterns to prevent false-positives on user phrases like
'<final answer>' or '<thought experiment>' (#33295 review)
- Rate limiter: only record echo/reflection/from-me drops instead of
all dispatches, so the limiter acts as a loop-specific escalation
mechanism rather than a general throttle on normal conversation
velocity (#33295 review)
* Changelog: add iMessage echo-loop hardening entry
* iMessage: restore short echo-text TTL
* iMessage: ignore reflection markers in code
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* fix: strip skill-injected env vars from ACP harness spawn env
Skill apiKey entries (e.g., openai-image-gen with primaryEnv=OPENAI_API_KEY)
are set on process.env during agent runs and only reverted after the run
completes. ACP harnesses like Codex CLI inherit these vars, causing them
to silently use API billing instead of their own auth (e.g., OAuth).
The fix tracks which env vars are actively injected by skill overrides in
a module-level Set (activeSkillEnvKeys) and strips them in
resolveAcpClientSpawnEnv() before spawning ACP child processes.
Fixes#36280
* ACP: type spawn env for stripped keys
* Skills: cover active env key lifecycle
* Changelog: note ACP skill env isolation
* ACP: preserve shell marker after env stripping
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* add web search to onboarding flow
* remove post onboarding step (now redundant)
* post-onboarding nudge if no web search set up
* address comments
* fix test mocking
* add enabled: false assertion to the no-key test
* --skip-search cli flag
* use provider that a user has a key for
* add assertions, replace the duplicated switch blocks
* test for quickstart fast-path with existing config key
* address comments
* cover quickstart falls through to key test
* bring back key source
* normalize secret inputs instead of direct string trimming
* preserve enabled: false if it's already set
* handle missing API keys in flow
* doc updates
* hasExistingKey to detect both plaintext strings and SecretRef objects
* preserve enabled state only on the "keep current" paths
* add test for preserving
* better gate flows
* guard against invalid provider values in config
* Update src/commands/configure.wizard.ts
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* format fix
* only mentions env var when it's actually available
* search apiKey fields now typed as SecretInput
* if no provider check if any search provider key is detectable
* handle both kimi keys
* remove .filter(Boolean)
* do not disable web_search after user enables it
* update resolveSearchProvider
* fix(onboarding): skip search key prompt in ref mode
* fix: add onboarding web search step (#34009) (thanks @kesku)
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: Shadow <hi@shadowing.dev>
* WhatsApp: add media cap helper
* WhatsApp: cap outbound media loads
* WhatsApp: align auto-reply media caps
* WhatsApp: add outbound media cap test
* WhatsApp: update auto-reply cap tests
* Docs: update WhatsApp media caps
* Changelog: note WhatsApp media cap fix
* Telegram: default media cap to 100MB
* Telegram: honor outbound mediaMaxMb
* Discord: add shared media upload cap
* Discord: pass mediaMaxMb to outbound sends
* Telegram: cover outbound media cap sends
* Discord: cover media upload cap config
* Docs: update Telegram media cap guide
* Docs: update Telegram config reference
* Changelog: note media upload cap fix
* Docs: note Discord upload cap behavior
* feat(context-engine): add ContextEngine interface and registry
Introduce the pluggable ContextEngine abstraction that allows external
plugins to register custom context management strategies.
- ContextEngine interface with lifecycle methods: bootstrap, ingest,
ingestBatch, afterTurn, assemble, compact, prepareSubagentSpawn,
onSubagentEnded, dispose
- Module-level singleton registry with registerContextEngine() and
resolveContextEngine() (config-driven slot selection)
- LegacyContextEngine: pass-through implementation wrapping existing
compaction behavior for 100% backward compatibility
- ensureContextEnginesInitialized() guard for safe one-time registration
- 19 tests covering contract, registry, resolution, and legacy parity
* feat(plugins): add context-engine slot and registerContextEngine API
Wire the ContextEngine abstraction into the plugin system so external
plugins can register context engines via the standard plugin API.
- Add 'context-engine' to PluginKind union type
- Add 'contextEngine' slot to PluginSlotsConfig (default: 'legacy')
- Wire registerContextEngine() through OpenClawPluginApi
- Export ContextEngine types from plugin-sdk for external consumers
- Restore proper slot-based resolution in registry
* feat(context-engine): wire ContextEngine into agent run lifecycle
Integrate the ContextEngine abstraction into the core agent run path:
- Resolve context engine once per run (reused across retries)
- Bootstrap: hydrate canonical store from session file on first run
- Assemble: route context assembly through pluggable engine
- Auto-compaction guard: disable built-in auto-compaction when
the engine declares ownsCompaction (prevents double-compaction)
- AfterTurn: post-turn lifecycle hook for ingest + background
compaction decisions
- Overflow compaction: route through contextEngine.compact()
- Dispose: clean up engine resources in finally block
- Notify context engine on subagent lifecycle events
Legacy engine: all lifecycle methods are pass-through/no-op, preserving
100% backward compatibility for users without a context engine plugin.
* feat(plugins): add scoped subagent methods and gateway request scope
Expose runtime.subagent.{run, waitForRun, getSession, deleteSession}
so external plugins can spawn sub-agent sessions without raw gateway
dispatch access.
Uses AsyncLocalStorage request-scope bridge to dispatch internally via
handleGatewayRequest with a synthetic operator client. Methods are only
available during gateway request handling.
- Symbol.for-backed global singleton for cross-module-reload safety
- Fallback gateway context for non-WS dispatch paths (Telegram/WhatsApp)
- Set gateway request scope for all handlers, not just plugin handlers
- 3 staleness tests for fallback context hardening
* feat(context-engine): route /compact and sessions.get through context engine
Wire the /compact command and sessions.get handler through the pluggable
ContextEngine interface.
- Thread tokenBudget and force parameters to context engine compact
- Route /compact through contextEngine.compact() when registered
- Wire sessions.get as runtime alias for plugin subagent dispatch
- Add .pebbles/ to .gitignore
* style: format with oxfmt 0.33.0
Fix duplicate import (ControlUiRootState in server.impl.ts) and
import ordering across all changed files.
* fix: update extension test mocks for context-engine types
Add missing subagent property to bluebubbles PluginRuntime mock.
Add missing registerContextEngine to lobster OpenClawPluginApi mock.
* fix(subagents): keep deferred delete cleanup retryable
* style: format run attempt for CI
* fix(rebase): remove duplicate embedded-run imports
* test: add missing gateway context mock export
* fix: pass resolved auth profile into afterTurn compaction
Ensure the embedded runner forwards resolved auth profile context into
legacy context-engine compaction params on the normal afterTurn path,
matching overflow compaction behavior. This allows downstream LCM
summarization to use the intended provider auth/profile consistently.
Also fix strict TS typing in external-link token dedupe and align an
attempt unit test reasoningLevel value with the current ReasoningLevel
enum.
Regeneration-Prompt: |
We were debugging context-engine compaction where downstream summary
calls were missing the right auth/profile context in normal afterTurn
flow, while overflow compaction already propagated it. Preserve current
behavior and keep changes additive: thread the resolved authProfileId
through run -> attempt -> legacy compaction param builder without
broad refactors.
Add tests that prove the auth profile is included in afterTurn legacy
params and that overflow compaction still passes it through run
attempts. Keep existing APIs stable, and only adjust small type issues
needed for strict compilation.
* fix: remove duplicate imports from rebase
* feat: add context-engine system prompt additions
* fix(rebase): dedupe attempt import declarations
* test: fix fetch mock typing in ollama autodiscovery
* fix(test): add registerContextEngine to diffs extension mock APIs
* test(windows): use path.delimiter in ios-team-id fixture PATH
* test(cron): add model formatting and precedence edge case tests
Covers:
- Provider/model string splitting (whitespace, nested paths, empty segments)
- Provider normalization (casing, aliases like bedrock→amazon-bedrock)
- Anthropic model alias normalization (opus-4.5→claude-opus-4-5)
- Precedence: job payload > session override > config default
- Sequential runs with different providers (CI flake regression pattern)
- forceNew session preserving stored model overrides
- Whitespace/empty model string edge cases
- Config model as string vs object format
* test(cron): fix model formatting test config types
* test(phone-control): add registerContextEngine to mock API
* fix: re-export ChannelKind from config-reload-plan
* fix: add subagent mock to plugin-runtime-mock test util
* docs: add changelog fragment for context engine PR #22201
* feat(openai): add gpt-5.4 support and priority processing
* feat(openai-codex): add gpt-5.4 oauth support
* fix(openai): preserve provider overrides in gpt-5.4 fallback
* fix(openai-codex): keep xhigh for gpt-5.4 default
* fix(models): preserve configured overrides in list output
* fix(models): close gpt-5.4 integration gaps
* fix(openai): scope service tier to public api
* fix(openai): complete prep followups for gpt-5.4 support (#36590) (thanks @dorukardahan)
---------
Co-authored-by: Tyler Yust <TYTYYUST@YAHOO.COM>
