US-024: Add token limit metadata for kimi models

Add ModelTokenLimit entries for kimi-k2.5 and kimi-k1.5 to enable
preflight context window validation. Per Moonshot AI documentation:
- Context window: 256,000 tokens
- Max output: 16,384 tokens

Includes 3 unit tests:
- returns_context_window_metadata_for_kimi_models
- kimi_alias_resolves_to_kimi_k25_token_limits
- preflight_blocks_oversized_requests_for_kimi_models

All tests pass, clippy clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Yeachan-Heo
2026-04-17 04:15:38 +00:00
parent 8d8e2c3afd
commit 00d0eb61d4
2 changed files with 87 additions and 3 deletions

View File

@@ -329,13 +329,28 @@
],
"passes": true,
"priority": "P1"
},
{
"id": "US-024",
"title": "Add token limit metadata for kimi models",
"description": "The model_token_limit() function has no entries for kimi-k2.5 or kimi-k1.5, causing preflight context window validation to skip these models. Add token limit metadata to enable preflight checks and accurate max token defaults. Per Moonshot AI documentation, kimi-k2.5 supports 256K context window and 16K max output tokens.",
"acceptanceCriteria": [
"model_token_limit('kimi-k2.5') returns Some(ModelTokenLimit { max_output_tokens: 16384, context_window_tokens: 256000 })",
"model_token_limit('kimi-k1.5') returns appropriate limits",
"model_token_limit('kimi') follows alias chain (kimi → kimi-k2.5) and returns k2.5 limits",
"preflight_message_request() validates context window for kimi models (via generic preflight, no provider-specific code needed)",
"Unit tests verify limits and preflight behavior for kimi models",
"All tests pass and clippy is clean"
],
"passes": true,
"priority": "P1"
}
],
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