- Fetch available models from Quotio /models endpoint
- Let user select their preferred default model from discovered list
- Remove hardcoded model definitions in favor of dynamic discovery
- Handle connection errors gracefully with user feedback
Quotio is a local OpenAI-compatible proxy that routes to various AI models
(Claude via Gemini credits, etc.). This adds it as a first-class provider
option in the onboarding wizard, eliminating the need for manual config edits.
- Add 'quotio' to AuthChoice type
- Add Quotio group to provider options
- Create dedicated handler with URL/API key prompts
- Configure provider with Claude Opus 4.5, Sonnet 4, Gemini 3 Flash models
- Use openai-completions API for compatibility
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.
