We had some workarounds in `generate-models.ts` initially - mainly to make cross-region inference work
for Amazon Bedrock provider, but now these are upstreamed into models.dev and we no longer need those.
- Add kimi-coding provider using Anthropic Messages API
- API endpoint: https://api.kimi.com/coding/v1
- Environment variable: KIMI_API_KEY
- Models: kimi-k2-thinking (text), k2p5 (text + image)
- Add context overflow detection pattern for Kimi errors
- Add tests for all standard test suites
- Add huggingface to KnownProvider type
- Add HF_TOKEN env var mapping
- Process huggingface models from models.dev (14 models)
- Use openai-completions API with compat settings
- Add tests for all provider test suites
- Update documentation
fixes#994
Add status === 'deprecated' check for OpenCode Zen models, matching
the existing pattern used for GitHub Copilot models. This removes
deprecated models like glm-4.7-free and minimax-m2.1-free from the
generated model catalog.
The Editor component now accepts TUI as the first constructor parameter,
enabling it to query terminal dimensions. When content exceeds available
height, the editor scrolls vertically keeping the cursor visible.
Features:
- Max editor height is 30% of terminal rows (minimum 5 lines)
- Page Up/Down keys scroll by page size
- Scroll indicators show lines above/below: ─── ↑ 5 more ───
Breaking change: Editor constructor signature changed from
new Editor(theme)
to
new Editor(tui, theme)
fixes#732
- align Codex Responses provider with Pi static instructions
- simplify Codex request/stream handling and cleanup exports
- keep legacy OpenCode Codex prompt for testing until Pi prompt is allowlisted
Z.ai uses thinking: { type: "enabled" | "disabled" } instead of
OpenAI's reasoning_effort. Added thinkingFormat compat flag to handle
this. Thinking is now explicitly enabled/disabled based on user setting.
It seemed as if the OpenAI message spec tried to send non-compliant messages with { text: "" } instead of { contet: "" }, which the AI Gateway did not accept.
- Add minimax to KnownProvider and Api types
- Add MINIMAX_API_KEY to getEnvApiKey()
- Generate MiniMax-M2 and MiniMax-M2.1 models
- Add context overflow detection pattern
- Add tests to all required test files
- Update README and CHANGELOG with attribution
Also fixes:
- Bedrock duplicate toolResult ID when content has multiple blocks
- Sandbox extension unused parameter lint warning
Adds support for Amazon Bedrock with Claude models including:
- Full streaming support via Converse API
- Reasoning/thinking support for Claude models
- Cross-region inference model ID handling
- Multiple AWS credential sources (profile, IAM keys, API keys)
- Image support in messages and tool results
- Unicode surrogate sanitization
Also adds 'Adding a New Provider' documentation to AGENTS.md and README.
Co-authored-by: nickchan2 <nickchan2@users.noreply.github.com>
When running from source with tsx, the jiti aliases pointed to .js files
that don't exist (only .ts files exist). This caused jiti to fall back to
different module resolution, loading a separate instance of theme.ts where
initTheme() was never called, resulting in undefined theme.
Now checks if .js exists and falls back to .ts for dev mode compatibility.
Prevents undefined theme when extensions call ctx.ui.custom() in edge cases
where module resolution could cause the theme variable to be accessed before
initTheme() is called.
Previously all openai-codex models had pricing set to 0, causing the
TUI to always show $0.00 for cost tracking.
Updated pricing based on OpenAI Standard tier rates:
- gpt-5.2/gpt-5.2-codex: $1.75/$14.00 per 1M tokens
- gpt-5.1/gpt-5.1-codex/gpt-5.1-codex-max: $1.25/$10.00 per 1M tokens
- gpt-5/gpt-5-codex: $1.25/$10.00 per 1M tokens
- codex-mini-latest: $1.50/$6.00 per 1M tokens
- gpt-5-mini/gpt-5.1-codex-mini/gpt-5-codex-mini: $0.25/$2.00 per 1M tokens
- gpt-5-nano: $0.05/$0.40 per 1M tokens
Source: https://platform.openai.com/docs/pricing
- Remove per-thinking-level model variants (gpt-5.2-codex-high, etc.)
- Remove thinkingLevels from Model type
- Provider clamps reasoning effort internally
- Omit reasoning field when thinking is off
fixes#472
Mario Zechner