* Telegram: soft-fail reactions and fallback to inbound message id
* Telegram: soft-fail missing reaction message id
* Update CHANGELOG.md
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* fix(compaction): pass model through runtime to fix ctx.model undefined
Fixes#3479
Root cause: extensionRunner.initialize() is never called in compact.ts workflow,
leaving ctx.model undefined. Compaction safeguard checks ctx.model and returns
fallback summary immediately without attempting LLM summarization.
Changes:
1. Pass model through compaction safeguard runtime registry (same pattern as maxHistoryShare)
2. Fall back to runtime.model when ctx.model is undefined
3. Add once-per-session warning when both models are missing (prevents log spam)
4. Add regression test for runtime.model fallback
This follows the established runtime registry pattern rather than attempting to call
extensionRunner.initialize() (which is SDK-internal and not meant for direct access).
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
* test: add comprehensive tests for compaction-safeguard model fallback
Add integration tests to verify the model fallback behavior:
- Test runtime.model fallback when ctx.model is undefined (compact.ts workflow)
- Test fallback summary when both ctx.model and runtime.model are undefined
- Test contextWindowTokens runtime storage/retrieval
- Test combined runtime values (maxHistoryShare + contextWindowTokens + model)
These tests verify the fix for issue #3479 where compaction fails due to
ctx.model being undefined in the compact.ts workflow. The runtime registry
pattern allows model to be passed when extensionRunner.initialize() is not
called, ensuring summarization works in all code paths.
Related: PR #17864
* fix(test): adapt compaction-safeguard tests to upstream type changes
- Add baseUrl to Model mock objects (now required by Model<Api>)
- Add explicit Model<Api> annotation to prevent provider string widening
- Cast modelRegistry mock through unknown (ModelRegistry expanded)
- Use non-null assertion for compactionHandler (TypeScript strict)
- Type compaction result explicitly
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Compaction: add changelog credit for model fallback fix
* Update CHANGELOG.md
* Update CHANGELOG.md
---------
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* fix: sanitize tool call IDs in agent loop for Mistral strict9 format (#23595)
Mistral requires tool call IDs to be exactly 9 alphanumeric characters
([a-zA-Z0-9]{9}). The existing sanitizeToolCallIdsForCloudCodeAssist
mechanism only ran on historical messages at attempt start via
sanitizeSessionHistory, but the pi-agent-core agent loop's internal
tool call → tool result cycles bypassed that path entirely.
Changes:
- Wrap streamFn (like dropThinkingBlocks) so every outbound request
sees sanitized tool call IDs when the transcript policy requires it
- Replace call_${Date.now()} in pendingToolCalls with a 9-char hex ID
generated from crypto.randomBytes
- Add Mistral tool call ID error pattern to ERROR_PATTERNS.format so
the error is correctly classified for retry/rotation
* Changelog: document Mistral strict9 tool-call ID fix
---------
Co-authored-by: echoVic <AkiraVic@outlook.com>
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* fix(cache): inject cache_control into system prompt for OpenRouter Anthropic
Add onPayload wrapper that injects cache_control: { type: "ephemeral" }
into the system/developer message content for OpenRouter requests routed
to Anthropic models. The system prompt is typically ~18k tokens and was
being re-processed on every request without caching.
Fixes#15151
* Changelog: add OpenRouter note for #17473
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* OpenRouter: allow any model ID instead of restricting to static catalog
OpenRouter models were restricted to a hardcoded prefix list in the internal model catalog, preventing use of newly added or less common models. This change makes OpenRouter work as the pass-through proxy it is -- any valid OpenRouter model ID now resolves dynamically.
Fixes https://github.com/openclaw/openclaw/issues/5241
Changes:
- Add OpenRouter as an implicit provider in resolveImplicitProviders so models.json is populated when an API key is detected (models-config.providers.ts)
- Add a pass-through fallback in resolveModel that creates OpenRouter models on-the-fly when they aren't pre-registered in the local catalog (
model.ts
)
- Remove the static prefix filter for OpenRouter/opencode in isModernModelRef (live-model-filter.ts)
* Apply requested change for maxTokens
* Agents: remove dead helper in live model filter
* Changelog: note Joly0/main OpenRouter fix
* Changelog: fix OpenRouter entry text
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
extraParams.provider was silently dropped by createStreamFnWithExtraParams().
This change injects it into model.compat.openRouterRouting so pi-ai's
buildParams includes params.provider in the API request body.
Enables OpenRouter provider routing options (only, order, allow_fallbacks,
data_collection, ignore, sort, quantizations) via model config:
```jsonc
"openrouter/model-name": {
"params": {
"provider": {
"only": ["deepinfra", "fireworks"],
"allow_fallbacks": false
}
}
}
```
Closes#10869✍️ Author: Claude Code with @carrotRakko (AI-written, human-approved)
A timeout is model/network-specific, not an auth issue. Marking the
auth profile as failed on timeout poisons fallback models on the same
provider (e.g. gpt-5.3 timeout would block gpt-5.2 via shared profile
cooldown). The prompt-phase path already guards against this; this
aligns the post-response timeout path to match.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove the `overflowCompactionAttempts = 0` reset inside the inner loop's
tool-result-truncation branch. The counter was being zeroed on each truncation
cycle, allowing prompt-injection attacks to bypass the MAX_OVERFLOW_COMPACTION_ATTEMPTS
guard and trigger unbounded auto-compaction, exhausting context window resources (DoS).
CWE-400 / GHSA-x2g4-7mj7-2hhj
