* 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.
Verified:
- CI checks for commit 86a7ecb45ebf0be61dce9261398000524fd9fab6
- Rebase conflict resolution for compatibility with latest main
Co-authored-by: vpesh <9496634+vpesh@users.noreply.github.com>
Skills install runs package manager install commands (npm, pnpm, yarn,
bun) without --ignore-scripts, allowing malicious npm packages to
execute arbitrary code via postinstall/preinstall lifecycle scripts
during global installation.
This is inconsistent with the security fix in commit 92702af7a which
added --ignore-scripts to both plugin installs (src/plugins/install.ts)
and hook installs (src/hooks/install.ts). Skills install was overlooked
in that change.
Global install (-g) is particularly dangerous as scripts execute with
the user's full permissions and can modify globally-accessible binaries.
The UsageAccumulator sums cacheRead/cacheWrite across all API calls
within a single turn. With Anthropic prompt caching, each call reports
cacheRead ≈ current_context_size, so after N tool-call round-trips the
accumulated total becomes N × actual_context, which gets clamped to
contextWindow (200k) by deriveSessionTotalTokens().
Fix: track the most recent API call's cache fields separately and use
them in toNormalizedUsage() for context-size reporting. This makes
/status Context display accurate while preserving accumulated output
token counts.
Fixes#13698Fixes#13782
Co-authored-by: akari-musubi <259925157+akari-musubi@users.noreply.github.com>
* fix: prevent FD leaks in child process cleanup
- Destroy stdio streams (stdin/stdout/stderr) after process exit
- Remove event listeners to prevent memory leaks
- Clean up child process reference in moveToFinished()
- Also fixes model override handling in agent.ts
Fixes EBADF errors caused by accumulating file descriptors
from sub-agent spawns.
* Fix: allow stdin destroy in process registry cleanup
---------
Co-authored-by: Tak Hoffman <781889+Takhoffman@users.noreply.github.com>
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>
Move appendCacheTtlTimestamp() to after prompt + compaction retry
completes instead of before. The previous placement inserted a custom
entry (openclaw.cache-ttl) between compaction and the next prompt,
which broke pi-coding-agent's prepareCompaction() guard — the guard
only checks if the last entry is type 'compaction', and the cache-ttl
custom entry made it type 'custom', allowing an immediate second
compaction at very low token counts (e.g. 5,545 tokens) that nuked
all preserved context.
Fixes#9282
Relates to #12170
The xAI /v1/responses API returns content in a structured format with
typed output blocks (type: 'message') containing typed content blocks
(type: 'output_text') and url_citation annotations. The previous code
only checked output[0].content[0].text without filtering by type,
which could miss content in responses with multiple output entries.
Changes:
- Update GrokSearchResponse type to include annotations on content blocks
- Filter output blocks by type='message' and content by type='output_text'
- Extract url_citation annotations as fallback citations when top-level
citations array is empty
- Deduplicate annotation-derived citation URLs
- Update tests for the new structured return type
Closes#13520
* feat: add LiteLLM provider types, env var, credentials, and auth choice
Add litellm-api-key auth choice, LITELLM_API_KEY env var mapping,
setLitellmApiKey() credential storage, and LITELLM_DEFAULT_MODEL_REF.
* feat: add LiteLLM onboarding handler and provider config
Add applyLitellmProviderConfig which properly registers
models.providers.litellm with baseUrl, api type, and model definitions.
This fixes the critical bug from PR #6488 where the provider entry was
never created, causing model resolution to fail at runtime.
* docs: add LiteLLM provider documentation
Add setup guide covering onboarding, manual config, virtual keys,
model routing, and usage tracking. Link from provider index.
* docs: add LiteLLM to sidebar navigation in docs.json
Add providers/litellm to both English and Chinese provider page lists
so the docs page appears in the sidebar navigation.
* test: add LiteLLM non-interactive onboarding test
Wire up litellmApiKey flag inference and auth-choice handler for the
non-interactive onboarding path, and add an integration test covering
profile, model default, and credential storage.
* fix: register --litellm-api-key CLI flag and add preferred provider mapping
Wire up the missing Commander CLI option, action handler mapping, and
help text for --litellm-api-key. Add litellm-api-key to the preferred
provider map for consistency with other providers.
* fix: remove zh-CN sidebar entry for litellm (no localized page yet)
* style: format buildLitellmModelDefinition return type
* fix(onboarding): harden LiteLLM provider setup (#12823)
* refactor(onboarding): keep auth-choice provider dispatcher under size limit
---------
Co-authored-by: Peter Steinberger <steipete@gmail.com>
* Heartbeat: inject cron-style current time into prompts
* Tests: fix type for web heartbeat timestamp test
* Infra: inline heartbeat current-time injection
xAI's /v1/responses endpoint does not support the 'include' parameter,
returning 400 'Argument not supported: include'. Inline citations are
returned automatically when available — no explicit request needed.
Closes#12910
Co-authored-by: Luna AI <luna@coredirection.ai>
