* 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>
* Providers: set default Kimi coding user agent
* Tests: cover Kimi coding header overrides
* Changelog: note Kimi coding user agent
* Tests: satisfy Kimi provider fixture type
* Update CHANGELOG.md
* Providers: preserve Kimi headers through models merge
When a user configures `models.providers.openai-codex` with a models
array but omits the `api` field, `buildInlineProviderModels` produces
an entry with `api: undefined`. The inline-match early return then
hands this incomplete model straight to the caller, skipping the
forward-compat resolver that would supply the correct
`openai-codex-responses` api — causing a crash loop.
Let the inline match fall through to forward-compat when `api` is
absent so the resolver chain can fill it in.
Fixes#39682
* 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>
When a user sets `agents.defaults.model.primary: "ollama/gemma3:4b"`
but forgets to set OLLAMA_API_KEY, the error is a confusing
"unknown model: ollama/gemma3:4b". The Ollama provider requires any
dummy API key to register (the local server doesn't actually check it),
but this isn't obvious from the error.
Add `buildUnknownModelError()` that detects known local providers
(ollama, vllm) and appends an actionable hint with the env var name
and a link to the relevant docs page.
Before: Unknown model: ollama/gemma3:4b
After: Unknown model: ollama/gemma3:4b. Ollama requires authentication
to be registered as a provider. Set OLLAMA_API_KEY="ollama-local"
(any value works) or run "openclaw configure".
See: https://docs.openclaw.ai/providers/ollamaCloses#17328
* Agents: allow gpt-5.3-codex-spark in fallback and thinking
* Fix: model picker issue for openai-codex/gpt-5.3-codex-spark
Fixed an issue in the model picker.
Two fixes for Google Antigravity (Cloud Code Assist) reliability:
1. Forward-compat model fallback: pi-ai's model registry doesn't include
claude-opus-4-6-thinking. Add resolveAntigravityOpus46ForwardCompatModel()
that clones the opus-4-5 template so the correct api ("google-gemini-cli")
and baseUrl are preserved. Fixes#13765.
2. Fix thinking.signature rejection: The API returns Claude thinking blocks
without signatures, then rejects them on replay. The existing sanitizer
strips unsigned blocks, but the orphaned-user-message path in attempt.ts
bypassed it by reading directly from disk. Now applies
sanitizeAntigravityThinkingBlocks at that code path.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Add test cases to verify:
- baseUrl is inherited from provider when model does not specify it
- api is inherited from provider when model does not specify it
- model-level api takes precedence over provider-level api
- both baseUrl and api can be inherited together
Co-Authored-By: Claude (claude-opus-4.5) <noreply@anthropic.com>
