When installing the Gateway daemon via LaunchAgent (macOS) or systemd (Linux),
environment variables defined in config.env.vars were not being included in
the service environment. This caused API keys and other env vars configured
in clawdbot.json5 to be unavailable when the Gateway ran as a service.
The fix adds a configEnvVars parameter to buildGatewayInstallPlan() which
merges config.env.vars into the service environment. Service-specific
variables (CLAWDBOT_*, HOME, PATH) take precedence over config env vars.
Fixes the issue where users had to manually edit the LaunchAgent plist
to add environment variables like GOOGLE_API_KEY.
Venice AI is a privacy-focused AI inference provider with support for
uncensored models and access to major proprietary models via their
anonymized proxy.
This integration adds:
- Complete model catalog with 25 models:
- 15 private models (Llama, Qwen, DeepSeek, Venice Uncensored, etc.)
- 10 anonymized models (Claude, GPT-5.2, Gemini, Grok, Kimi, MiniMax)
- Auto-discovery from Venice API with fallback to static catalog
- VENICE_API_KEY environment variable support
- Interactive onboarding via 'venice-api-key' auth choice
- Model selection prompt showing all available Venice models
- Provider auto-registration when API key is detected
- Comprehensive documentation covering:
- Privacy modes (private vs anonymized)
- All 25 models with context windows and features
- Streaming, function calling, and vision support
- Model selection recommendations
Privacy modes:
- Private: Fully private, no logging (open-source models)
- Anonymized: Proxied through Venice (proprietary models)
Default model: venice/llama-3.3-70b (good balance of capability + privacy)
Venice API: https://api.venice.ai/api/v1 (OpenAI-compatible)
Add automatic discovery of AWS Bedrock models using ListFoundationModels API.
When AWS credentials are detected, models that support streaming and text output
are automatically discovered and made available.
- Add @aws-sdk/client-bedrock dependency
- Add discoverBedrockModels() with caching (default 1 hour)
- Add resolveImplicitBedrockProvider() for auto-registration
- Add BedrockDiscoveryConfig for optional filtering by provider/region
- Filter to active, streaming, text-output models only
- Update docs/bedrock.md with auto-discovery documentation
Updated `dockerImageExists` in `src/commands/doctor-sandbox.ts` to mirror the logic in `src/agents/sandbox/docker.ts`. It now re-throws errors unless they are explicitly "No such image" errors.
- Add avatar field to IdentityConfig type
- Add avatar parsing in AgentIdentity from IDENTITY.md
- Add renderAvatar support for image avatars in webchat
- Add CSS styling for image avatars
Users can now configure a custom avatar for the assistant in the webchat
by setting 'identity.avatar' in the agent config or adding 'Avatar: path'
to IDENTITY.md. The avatar can be served from the assets folder.
Closes #TBD
