Add Maple AI as a built-in provider - #1
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Add Maple AI as a built-in provider for OpenCode. Maple AI provides private, encrypted LLM access via Trusted Execution Environments (TEE). Changes: - Add maple custom loader in CUSTOM_LOADERS with localhost:8080 baseURL - Add inline model definitions for 7 Maple AI models: - llama-3.3-70b: General reasoning - deepseek-r1-0528: Research/math/coding with reasoning - gpt-oss-120b: ChatGPT-style creativity - qwen3-coder-480b: Specialized coding - qwen2-5-72b: Multilingual tasks - mistral-small-3-1-24b: Visual insights (image support) - gemma-3-27b-it: Image analysis (image support) - Add comprehensive tests for Maple AI provider Users need to: 1. Run maple-proxy locally (or use Maple desktop app) 2. Set MAPLE_API_KEY environment variable Documentation: https://blog.trymaple.ai/maple-proxy-documentation/
marksftw
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Jan 24, 2026
I created a new PR on top of the latest dev branch and submitted it upstream. Thanks for the inspiration. anomalyco#10436 |
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Summary
Details
Provider Implementation
maplecustom loader inCUSTOM_LOADERSusing@ai-sdk/openai-compatiblepackagemaple-proxyathttp://localhost:8080/v1(handles TEE attestation/encryption)MAPLE_API_KEYenvironment variableModels Added
llama-3.3-70bdeepseek-r1-0528gpt-oss-120bqwen3-coder-480bqwen2-5-72bmistral-small-3-1-24bgemma-3-27b-itTests
Added 5 comprehensive tests covering:
MAPLE_API_KEYAll 63 tests pass (58 existing + 5 new).
Usage
maple-proxylocally (handles TEE attestation)MAPLE_API_KEYenvironment variableReferences