Auto-compaction never triggered for self-hosted llama.cpp HTTP servers
(used directly or behind an OpenAI-compatible shim configured with
`api: "openai-completions"`) because llama.cpp's native overflow wording
isn't covered by any existing pattern in `isContextOverflowError()` or
`matchesProviderContextOverflow()`.
When the prompt overshoots a slot's `--ctx-size`, llama.cpp returns:
400 request (66202 tokens) exceeds the available context size (65536 tokens), try increasing it
That message uses "context size" rather than "context length", says
"request (N tokens)" instead of "input/prompt is too long", and the
status code is 400 (not 413), so it slips past every existing string
check and every regex in `PROVIDER_CONTEXT_OVERFLOW_PATTERNS`. The
generic candidate pre-check passes, but the concrete provider regexes
all miss, so the agent runner reports `surface_error reason=...` and
the user gets the raw upstream error instead of compaction + retry.
This commit adds a llama.cpp-shaped pattern next to the existing Bedrock
/ Vertex / Ollama / Cohere ones in
`PROVIDER_CONTEXT_OVERFLOW_PATTERNS`, plus four test cases (three
parameterised messages exercising the new regex directly, and one
end-to-end assertion that `isContextOverflowError()` now returns true
for the verbatim message produced by llama.cpp's slot manager).
The pattern is anchored on llama.cpp's stable slot-manager wording
(`(?:request|prompt) (N tokens) exceeds (the )?available context size`)
so it won't accidentally swallow unrelated provider errors.
Closes#64180
AI-assisted: drafted with Claude Code (Opus 4.6, 1M context).
Testing: targeted tests pass via `pnpm vitest run
src/agents/pi-embedded-helpers/provider-error-patterns.test.ts`
(26/26). Broader vitest run shows 2 unrelated failures in
`group-policy.fallback.contract.test.ts` that are not touched by this
change.
* fix(qqbot): allow extension fields in channel config schema
Use passthrough() on QQBotConfigSchema, QQBotAccountSchema, and
QQBotStreamingSchema so third-party builds that share the qqbot
channel id can add custom fields without triggering
"must NOT have additional properties" validation errors.
tts and stt sub-schemas remain strict to preserve typo detection
for those sensitive fields.
* Update extensions/qqbot/openclaw.plugin.json
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* chore(qqbot): update changelog for config schema passthrough
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
