Preserves explicit `supportsUsageInStreaming` overrides from built-in provider
catalogs and user config instead of unconditionally forcing `false` on non-native
openai-completions endpoints.
Adds `applyNativeStreamingUsageCompat()` to set `supportsUsageInStreaming: true`
on ModelStudio (DashScope) and Moonshot models at config build time so their
native streaming usage works out of the box.
Closes#46142
Co-authored-by: pezy <peizhe.chen@vbot.cn>
* feat: make compaction timeout configurable via agents.defaults.compaction.timeoutSeconds
The hardcoded 5-minute (300s) compaction timeout causes large sessions
to enter a death spiral where compaction repeatedly fails and the
session grows indefinitely. This adds agents.defaults.compaction.timeoutSeconds
to allow operators to override the compaction safety timeout.
Default raised to 900s (15min) which is sufficient for sessions up to
~400k tokens. The resolved timeout is also used for the session write
lock duration so locks don't expire before compaction completes.
Fixes#38233
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* test: add resolveCompactionTimeoutMs tests
Cover config resolution edge cases: undefined config, missing
compaction section, valid seconds, fractional values, zero,
negative, NaN, and Infinity.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: add timeoutSeconds to compaction Zod schema
The compaction object schema uses .strict(), so setting the new
timeoutSeconds config option would fail validation at startup.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: enforce integer constraint on compaction timeoutSeconds schema
Prevents sub-second values like 0.5 which would floor to 0ms and
cause immediate compaction timeout. Matches pattern of other
integer timeout fields in the schema.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: clamp compaction timeout to Node timer-safe maximum
Values above ~2.1B ms overflow Node's setTimeout to 1ms, causing
immediate timeout. Clamp to MAX_SAFE_TIMEOUT_MS matching the
pattern in agents/timeout.ts.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: add FIELD_LABELS entry for compaction timeoutSeconds
Maintains label/help parity invariant enforced by
schema.help.quality.test.ts.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: align compaction timeouts with abort handling
* fix: land compaction timeout handling (#46889) (thanks @asyncjason)
---------
Co-authored-by: Jason Separovic <jason@wilma.dog>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Ayaan Zaidi <hi@obviy.us>
* fix: fetch OpenRouter model capabilities at runtime for unknown models
When an OpenRouter model is not in the built-in static snapshot from
pi-ai, the fallback hardcodes input: ["text"], silently dropping images.
Query the OpenRouter API at runtime to detect actual capabilities
(image support, reasoning, context window) for models not in the
built-in list. Results are cached in memory for 1 hour. On API
failure/timeout, falls back to text-only (no regression).
* feat(openrouter): add disk cache for OpenRouter model capabilities
Persist the OpenRouter model catalog to ~/.openclaw/cache/openrouter-models.json
so it survives process restarts. Cache lookup order:
1. In-memory Map (instant)
2. On-disk JSON file (avoids network on restart)
3. OpenRouter API fetch (populates both layers)
Also triggers a background refresh when a model is not found in the cache,
in case it was newly added to OpenRouter.
* refactor(openrouter): remove pre-warm, use pure lazy-load with disk cache
- Remove eager ensureOpenRouterModelCache() from run.ts
- Remove TTL — model capabilities are stable, no periodic re-fetching
- Cache lookup: in-memory → disk → API fetch (only when needed)
- API is only called when no cache exists or a model is not found
- Disk cache persists across gateway restarts
* fix(openrouter): address review feedback
- Fix timer leak: move clearTimeout to finally block
- Fix modality check: only check input side of "->" separator to avoid
matching image-generation models (text->image)
- Use resolveStateDir() instead of hardcoded homedir()/.openclaw
- Separate cache dir and filename constants
- Add utf-8 encoding to writeFileSync for consistency
- Add data validation when reading disk cache
* ci: retrigger checks
* fix: preload unknown OpenRouter model capabilities before resolve
* fix: accept top-level OpenRouter max token metadata
* fix: update changelog for OpenRouter runtime capability lookup (#45824) (thanks @DJjjjhao)
* fix: avoid redundant OpenRouter refetches and preserve suppression guards
---------
Co-authored-by: Ayaan Zaidi <hi@obviy.us>
Fixes#46142
Stop forcing supportsUsageInStreaming=false on non-native openai-completions
endpoints. Most OpenAI-compatible APIs (DashScope, DeepSeek, Groq, Together,
etc.) handle stream_options: { include_usage: true } correctly. The blanket
disable broke usage/cost tracking for all non-OpenAI providers.
supportsDeveloperRole is still forced off for non-native endpoints since
the developer message role is genuinely OpenAI-specific.
Users on backends that reject stream_options can opt out with
compat.supportsUsageInStreaming: false in their model config.
Fixes#46142
* feat: add --force-document to message.send for Telegram
Adds --force-document CLI flag to bypass sendPhoto and use sendDocument
instead, avoiding Telegram image compression for PNG/image files.
- TelegramSendOpts: add forceDocument field
- send.ts: skip sendPhoto when forceDocument=true (mediaSender pattern)
- ChannelOutboundContext: add forceDocument field
- telegramOutbound.sendMedia: pass forceDocument to sendMessageTelegram
- ChannelHandlerParams / DeliverOutboundPayloadsCoreParams: add forceDocument
- createChannelOutboundContextBase: propagate forceDocument
- outbound-send-service.ts: add forceDocument to executeSendAction params
- message-action-runner.ts: read forceDocument from params
- message.ts: add forceDocument to MessageSendParams
- register.send.ts: add --force-document CLI option
* fix: pass forceDocument through telegram action dispatch path
The actual send path goes through dispatchChannelMessageAction ->
telegramMessageActions.handleAction -> handleTelegramAction, not
deliverOutboundPayloads. forceDocument was not being read in
readTelegramSendParams or passed to sendMessageTelegram.
* fix: apply forceDocument to GIF branch to avoid sendAnimation
* fix: add disable_content_type_detection=true to sendDocument for --force-document
* fix: add forceDocument to buildSendSchema for agent discoverability
* fix: scope telegram force-document detection
* test: fix heartbeat target helper typing
* fix: skip image optimization when forceDocument is set
* fix: persist forceDocument in WAL queue for crash-recovery replay
* test: tighten heartbeat target test entry typing
---------
Co-authored-by: thepagent <thepagent@users.noreply.github.com>
Co-authored-by: Frank Yang <frank.ekn@gmail.com>
* refactor: remove channel shim directories, point all imports to extensions
Delete the 6 backward-compat shim directories (src/telegram, src/discord,
src/slack, src/signal, src/imessage, src/web) that were re-exporting from
extensions. Update all 112+ source files to import directly from
extensions/{channel}/src/ instead of through the shims.
Also:
- Move src/channels/telegram/ (allow-from, api) to extensions/telegram/src/
- Fix outbound adapters to use resolveOutboundSendDep (fixes 5 pre-existing TS errors)
- Update cross-extension imports (src/web/media.js → extensions/whatsapp/src/media.js)
- Update vitest, tsdown, knip, labeler, and script configs for new paths
- Update guard test allowlists for extension paths
After this, src/ has zero channel-specific implementation code — only the
generic plugin framework remains.
* fix: update raw-fetch guard allowlist line numbers after shim removal
* refactor: document direct extension channel imports
* test: mock transcript module in delivery helpers
* refactor: move WhatsApp channel from src/web/ to extensions/whatsapp/
Move all WhatsApp implementation code (77 source/test files + 9 channel
plugin files) from src/web/ and src/channels/plugins/*/whatsapp* to
extensions/whatsapp/src/.
- Leave thin re-export shims at all original locations so cross-cutting
imports continue to resolve
- Update plugin-sdk/whatsapp.ts to only re-export generic framework
utilities; channel-specific functions imported locally by the extension
- Update vi.mock paths in 15 cross-cutting test files
- Rename outbound.ts -> send.ts to match extension naming conventions
and avoid false positive in cfg-threading guard test
- Widen tsconfig.plugin-sdk.dts.json rootDir to support shim->extension
cross-directory references
Part of the core-channels-to-extensions migration (PR 6/10).
* style: format WhatsApp extension files
* fix: correct stale import paths in WhatsApp extension tests
Fix vi.importActual, test mock, and hardcoded source paths that weren't
updated during the file move:
- media.test.ts: vi.importActual path
- onboarding.test.ts: vi.importActual path
- test-helpers.ts: test/mocks/baileys.js path
- monitor-inbox.test-harness.ts: incomplete media/store mock
- login.test.ts: hardcoded source file path
- message-action-runner.media.test.ts: vi.mock/importActual path
feat(cron): support persistent session targets for cron jobs (#9765)
Add support for `sessionTarget: "current"` and `session:<id>` so cron jobs can
bind to the creating session or a persistent named session instead of only
`main` or ephemeral `isolated` sessions.
Also:
- preserve custom session targets across reloads and restarts
- update gateway validation and normalization for the new target forms
- add cron coverage for current/custom session targets and fallback behavior
- fix merged CI regressions in Discord and diffs tests
- add a changelog entry for the new cron session behavior
Co-authored-by: kkhomej33-netizen <kkhomej33-netizen@users.noreply.github.com>
Co-authored-by: ImLukeF <92253590+ImLukeF@users.noreply.github.com>
* fix(models): apply Gemini model-id normalization to google-vertex provider
The existing normalizeGoogleModelId() (which maps e.g. gemini-3.1-flash-lite
to gemini-3.1-flash-lite-preview) was only applied when the provider was
"google". Users configuring google-vertex/gemini-3.1-flash-lite would get
a "missing" model because the -preview suffix was never appended.
Extend the normalization to google-vertex in both model-selection
(parseModelRef path) and normalizeProviders (config normalization path).
Ref: https://github.com/openclaw/openclaw/issues/36838
Ref: https://github.com/openclaw/openclaw/pull/36918#issuecomment-4032732959
* fix(models): normalize google-vertex flash-lite
* fix(models): place unreleased changelog entry last
* fix(models): place unreleased changelog entry before releases
