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Promote model roster: set cascade to mistral-small, gemma, qwen - #44
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Update DEFAULT_CASCADE in config.rs to include mistralai/mistral-small-3.2-24b-instruct, google/gemma-3-27b-it, and qwen/qwen3-32b in that priority order. Keep deepseek-v4-pro as the primary model. Update README, STARTER_CONFIG, and e2e tests to reflect the new cascade configuration and expected token counts.
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Expanding the default model cascade from empty to three fallback models quadruples the default number of API calls and sends user source code to additional third-party providers (Mistral, Google, Qwen) without explicit opt-in. This is a consequential behavioral and privacy-boundary change that needs human confirmation before merge.
warn
src/config.rs:126— Default cascade sends code to three additional third parties without opt-in · confidence 0.90 · kind: humanEscalation
Model: moonshotai/kimi-k2.6
| gate_on_error: OnError::Block, | ||
| model: DEFAULT_MODEL.to_string(), | ||
| cascade: Vec::new(), | ||
| cascade: DEFAULT_CASCADE.iter().map(|m| (*m).to_string()).collect(), |
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warn · confidence 0.90 · kind: humanEscalation
Changing the default cascade from empty to [mistralai/mistral-small-3.2-24b-instruct, google/gemma-3-27b-it, qwen/qwen3-32b] means existing users who have not explicitly configured a cascade will now send their source code to three extra external providers on every run. The updated e2e assertions show the default request count jumping from 2 to 8 and token totals increasing proportionally, confirming a significant rise in latency and cost. Confirm that expanding the default data-sharing boundary to multiple new vendors without a major-version bump or explicit opt-in is intentional and acceptable. If not, keep the default cascade empty and surface the new roster only as an opt-in example in documentation.
Update the default model cascade to mistralai/mistral-small-3.2-24b-instruct, google/gemma-3-27b-it, and qwen/qwen3-32b in that priority order, now that fixture expansion and cost-reporting prerequisites are merged. Primary model remains deepseek-v4-pro. Tests updated to verify cascade order and token counts.