feat(config): add OpenCode variants support#90
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aryasaatvik wants to merge 2 commits intonumman-ali:mainfrom
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feat(config): add OpenCode variants support#90aryasaatvik wants to merge 2 commits intonumman-ali:mainfrom
aryasaatvik wants to merge 2 commits intonumman-ali:mainfrom
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…iles - Add opencode-modern.json for v1.0.210+ using variants system (6 base models, ~150 lines) - Add opencode-legacy.json for v1.0.209 and below (20+ separate model entries, 572 lines) - Remove full-opencode.json (replaced by version-specific configs) - Add variants field to UserConfig type for modern config format - Add providerOptions to RequestBody type to receive variant config from OpenCode - Update getReasoningConfig() to accept externalConfig parameter for variant selection - Enables variant cycling with Ctrl+T in OpenCode v1.0.210+ - Convert tabs to spaces and standardize quote style (no functional changes) The modern config reduces size by 74% while maintaining same functionality. Both configs provide access to all GPT-5.2/5.1 model families with proper reasoning effort variants.
- Update README.md with version-specific config selection instructions - Add comparison table showing modern vs legacy config differences - Update installation steps to check OpenCode version and select appropriate config - Rewrite config/README.md with comprehensive guide for both config formats - Document variant cycling feature (Ctrl+T) for modern config users - Update model variant documentation to reflect both config formats Clarifies which config file to use based on OpenCode version and explains the benefits of the modern variants system.
cau1k
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Jan 4, 2026
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Closed by v4.3.0 (tag v4.3.0). Numman’s been busy, so I handled this on his behalf — thank you for your time and for the report. This was a tough job, but Sam Altman had my back getting it over the line. Release: https://github.com/numman-ali/opencode-openai-codex-auth/releases/tag/v4.3.0 |
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Add OpenCode variants system support with split config files.
The modern config maintains access to all GPT-5.2/5.1 model families while reducing config size by 74%.