* fix: strip leading whitespace from sanitizeUserFacingText output
LLM responses frequently begin with \n\n, which survives through
sanitizeUserFacingText and reaches the channel as visible blank lines.
Root cause: the function used trimmed text for empty-checks but returned
the untrimmed 'stripped' variable. Two one-line fixes:
1. Return empty string (not whitespace-only 'stripped') for blank input
2. Apply trimStart() to the final return value
Fixes the same issue as #8052 and #10612 but at the root cause
(sanitizeUserFacingText) rather than scattering trimStart across
multiple delivery paths.
* Changelog: note sanitizeUserFacingText whitespace normalization
Co-authored-by: Tak Hoffman <781889+Takhoffman@users.noreply.github.com>
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Co-authored-by: Tak Hoffman <781889+Takhoffman@users.noreply.github.com>
Verified:
- CI checks for commit 86a7ecb45ebf0be61dce9261398000524fd9fab6
- Rebase conflict resolution for compatibility with latest main
Co-authored-by: vpesh <9496634+vpesh@users.noreply.github.com>
* fix: suggest /reset in context overflow error message
When the context window overflows, the error message now suggests
using /reset to clear session history, giving users an actionable
recovery path instead of a dead-end error.
Closes#12940
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: suggest /reset in context overflow error message (#12973) (thanks @RamiNoodle733)
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Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Rami Abdelrazzaq <RamiNoodle733@users.noreply.github.com>
- Create shared PNG encoder module (src/media/png-encode.ts)
- Refactor qr-image.ts and live-image-probe.ts to use shared encoder
- Add safeParseJson to utils.ts and plugin-sdk exports
- Update msteams and pairing-store to use centralized safeParseJson
* Memory/QMD: symlink default model cache into custom XDG_CACHE_HOME
QmdMemoryManager overrides XDG_CACHE_HOME to isolate the qmd index
per-agent, but this also moves where qmd looks for its ML models
(~2.1GB). Since models are installed at the default location
(~/.cache/qmd/models/), every qmd invocation would attempt to
re-download them from HuggingFace and time out.
Fix: on initialization, symlink ~/.cache/qmd/models/ into the custom
XDG_CACHE_HOME path so the index stays isolated per-agent while the
shared models are reused. The symlink is only created when the default
models directory exists and the target path does not already exist.
Includes tests for the three key scenarios: symlink creation, existing
directory preservation, and graceful skip when no default models exist.
* Memory/QMD: skip model symlink warning on ENOENT
* test: stabilize warning-filter visibility assertion (#12114) (thanks @tyler6204)
* fix: add changelog entry for QMD cache reuse (#12114) (thanks @tyler6204)
* fix: handle plain context-overflow strings in compaction detection (#12114) (thanks @tyler6204)
- Added tests to ensure proper sanitization of context overflow errors.
- Introduced a new function to determine when to rewrite context overflow messages.
- Updated the sanitization logic to improve user experience by providing clearer error messages while preserving conversational context.
* fix(errors): return clear billing error message instead of cryptic raw error (#8136)
When an LLM API provider returns a credit/billing-related error (HTTP 402,
insufficient credits, low balance, etc.), OpenClaw now shows a clear,
actionable message instead of passing through the raw/cryptic error text:
⚠️ API provider returned a billing error — your API key has run out of
credits or has an insufficient balance. Check your provider's billing
dashboard and top up or switch to a different API key.
Changes:
- formatAssistantErrorText: detect billing errors via isBillingErrorMessage()
and return a user-friendly message (placed before the generic HTTP/JSON
error fallthrough)
- sanitizeUserFacingText: same billing detection for the sanitization path
- pi-embedded-runner/run.ts: add billingFailure detection in the profile
exhaustion fallback, so the FailoverError message is billing-specific
- Added 3 new tests for credit balance, HTTP 402, and insufficient credits
* fix: extract billing error message to shared constant
- Change MAX_IMAGE_BYTES from 6MB to 5MB to match Anthropic API limit
- Add isImageSizeError() to detect image size errors from API
- Handle image size errors with user-friendly message instead of retry
- Prevent failover for image size errors (not retriable)
Fixes#2271
* fix: detect Anthropic 'Request size exceeds model context window' as context overflow
Anthropic now returns 'Request size exceeds model context window' instead of
the previously detected 'prompt is too long' format. This new error message
was not recognized by isContextOverflowError(), causing auto-compaction to
NOT trigger. Users would see the raw error twice without any recovery attempt.
Changes:
- Add 'exceeds model context window' and 'request size exceeds' to
isContextOverflowError() detection patterns
- Add tests that fail without the fix, verifying both the raw error
string and the JSON-wrapped format from Anthropic's API
- Add test for formatAssistantErrorText to ensure the friendly
'Context overflow' message is shown instead of the raw error
Note: The upstream pi-ai package (@mariozechner/pi-ai) also needs a fix
in its OVERFLOW_PATTERNS regex: /exceeds the context window/i should be
changed to /exceeds.*context window/i to match both 'the' and 'model'
variants for triggering auto-compaction retry.
* fix(tests): remove unused imports and helper from test files
Remove WorkspaceBootstrapFile references and _makeFile helper that were
incorrectly copied from another test file. These caused type errors and
were unrelated to the context overflow detection tests.
* fix: trigger auto-compaction on context overflow promptError
When the LLM rejects a request with a context overflow error that surfaces
as a promptError (thrown exception rather than streamed error), the existing
auto-compaction in pi-coding-agent never triggers. This happens because the
error bypasses the agent's message_end → agent_end → _checkCompaction path.
This fix adds a fallback compaction attempt directly in the run loop:
- Detects context overflow in promptError (excluding compaction_failure)
- Calls compactEmbeddedPiSessionDirect (bypassing lane queues since already in-lane)
- Retries the prompt after successful compaction
- Limits to one compaction attempt per run to prevent infinite loops
Fixes: context overflow errors shown to user without auto-compaction attempt
* style: format compact.ts and run.ts with oxfmt
* fix: tighten context overflow match (#1627) (thanks @rodrigouroz)
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Co-authored-by: Claude <claude@anthropic.com>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
Vincent