extract shared promote/sync orchestration into `NeoSkillSyncManager` so
computer tools and dashboard routes use the same rollback and error logic
add a reusable neo tool base runner to remove duplicated admin checks and
try/catch handling across skill-related tools, keeping responses consistent
factor sync result serialization into a single helper and reuse it where
stable release sync output is returned
extract a shared `_with_neo_client` wrapper to handle neo client
setup, teardown, and error responses in one place.
reduce duplicated try/except and `BayClient` context boilerplate across
neo skills endpoints while preserving existing request validation and
response payloads.
set the base booter browser property to return None instead of
raising NotImplementedError so callers can handle missing browser
support through capability checks
- Generated config uses allow_anonymous: false (triggers auto-provision)
- Set BAY_DATA_DIR so credentials.json writes to pkgs/bay/
- Add read_bay_credentials() to extract auto-generated key after boot
- Display API key in config hints for easy AstrBot setup
When shipyard_neo_access_token is not configured, _discover_bay_credentials()
searches for Bay's credentials.json in:
1. BAY_DATA_DIR env var
2. Mono-repo relative path ../pkgs/bay/
3. Current working directory
Enables zero-config dev mode when Bay runs locally alongside AstrBot.
Add scripts/start-with-neo.sh: one-click launcher that auto-generates
Bay config.yaml (anonymous mode, host_port), pulls Ship image, starts
Bay (port 8114) with health check, then starts AstrBot in foreground.
Ctrl+C stops both services. Supports BAY_PORT env var override.
Add _log_computer_config_changes() to detect and log modifications to
computer_use_runtime and sandbox.* keys when saving config via Dashboard.
Sensitive fields (tokens/secrets) are masked in log output.
* fix: handle list format content from OpenAI-compatible APIs
Some LLM providers (e.g., GLM-4.5V via SiliconFlow) return content as
list[dict] format like [{'type': 'text', 'text': '...'}] instead of
plain string. This causes the raw list representation to be displayed
to users.
Changes:
- Add _normalize_content() helper to extract text from various content formats
- Use json.loads instead of ast.literal_eval for safer parsing
- Add size limit check (8KB) before attempting JSON parsing
- Only convert lists that match OpenAI content-part schema (has 'type': 'text')
to avoid collapsing legitimate list-literal replies like ['foo', 'bar']
- Add strip parameter to preserve whitespace in streaming chunks
- Clean up orphan </think> tags that may leak from some models
Fixes#5124
* fix: improve content normalization safety
- Try json.loads first, fallback to ast.literal_eval for single-quoted
Python literals to avoid corrupting apostrophes (e.g., "don't")
- Coerce text values to str to handle null or non-string text fields
* feat: implement fallback provider support for chat models and update configuration
* feat: enhance provider selection display with count and chips for selected providers
* feat: update fallback chat providers to use provider settings and add warning for non-list fallback models
Soulter
Soulter
Helian Nuits
RC-CHN
Ruochen Pan
エイカク
Raven95676
zenfun
NayukiMeko
Waterwzy
evpeople
Li-shi-ling