Maple AI is a TEE-based private inference provider using Confidential
Computing for end-to-end encryption with cryptographic attestations.
- Add maple-models.ts with model catalog and discovery
- Add MAPLE_API_KEY environment variable support
- Add interactive onboarding: `clawdbot onboard --auth-choice maple-api-key`
- Add configurable proxy URL (default: http://127.0.0.1:8080/v1)
- Add provider auto-registration when API key detected
- Add documentation at docs/providers/maple.md
Supported models: kimi-k2-thinking (default), gpt-oss-120b, deepseek-r1-0528,
qwen3-coder-480b, qwen3-vl-30b, llama-3.3-70b, gemma-3-27b
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)
