chore(models): regenerate the models.dev enrichment snapshot

`xai` and `openai` carry `restrict_to_enriched`, so a live listing id the
enrichment catalog does not know is dropped. The bundled snapshot knew
neither `grok-4.7` nor `gpt-6-astra`, which left both invisible offline
and until the 24h models.dev refresh landed.

Regeneration also tripped the generator's fail-fast: models.dev renamed
the Kimi coding provider. `kimi-for-coding` is now `kimi-code-plan-cn`
(api.kimi.com — kigi's endpoint), with `kimi-code-plan-global` the
api.kimi.ai twin; the model set is unchanged. Both registry rows, the
generator target and the two snapshot lookups follow the new id, and the
cache `keep_set` guard invalidates any cache filtered under the old one.

crates/codegen/kigi-models/enrichment_snapshot.json

@@ -1 +1 @@
-{"_meta":{"note":"filtered snapshot for kigi model-metadata enrichment; regenerate via scripts/gen_enrichment_snapshot.py","source":"https://models.dev/api.json (github.com/sst/models.dev, MIT)"},"alibaba-token-plan":{"models":{"MiniMax-M2.5":{"limit":{"context":196608,"input":196601,"output":24576},"modalities":{"input":["text"],"output":["text"]},"name":"MiniMax-M2.5","reasoning":true,"reasoning_options":[],"tool_call":true},"deepseek-v3.2":{"limit":{"context":131072,"output":65536},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V3.2","reasoning":true,"reasoning_options":[{"type":"toggle"}],"tool_call":true},"deepseek-v4-flash":{"limit":{"context":1000000,"output":384000},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V4 Flash","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"effort","values":["high","max"]}],"tool_call":true},"deepseek-v4-pro":{"limit":{"context":1000000,"output":384000},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V4 Pro","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"effort","values":["high","max"]}],"tool_call":true},"glm-5":{"limit":{"context":202752,"output":16384},"modalities":{"input":["text"],"output":["text"]},"name":"GLM-5","reasoning":true,"reasoning_options":[{"type":"toggle"}],"tool_call":true},"glm-5.1":{"limit":{"context":202752,"output":128000},"modalities":{"input":["text"],"output":["text"]},"name":"GLM-5.1","reasoning":true,"reasoning_options":[{"type":"toggle"}],"tool_call":true},"glm-5.2":{"limit":{"context":1000000,"output":131072},"modalities":{"input":["text"],"output":["text"]},"name":"GLM-5.2","reasoning":true,"reasoning_options":[{"type":"effort","values":["high","max"]}],"tool_call":true},"kimi-k2.5":{"limit":{"context":262144,"output":32768},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Kimi K2.5","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"budget_tokens"}],"tool_call":true},"kimi-k2.6":{"limit":{"context":262144,"output":16384},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Kimi K2.6","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"budget_tokens"}],"tool_call":true},"kimi-k2.7-code":{"limit":{"context":262144,"output":262144},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Kimi K2.7 Code","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"budget_tokens"}],"tool_call":true},"qwen-image-2.0":{"limit":{"context":8192,"output":0},"modalities":{"input":["text"],"output":["image"]},"name":"Qwen Image 2.0","reasoning":false,"tool_call":false},"qwen-image-2.0-pro":{"limit":{"context":8192,"output":0},"modalities":{"input":["text"],"output":["image"]},"name":"Qwen Image 2.0 Pro","reasoning":false,"tool_call":false},"qwen3.6-flash":{"limit":{"context":1000000,"output":65536},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Qwen3.6 Flash","reasoning":true,"reasoning_options":[{"type":"toggle"},{"max":81920,"type":"budget_tokens"}],"tool_call":true},"qwen3.6-plus":{"limit":{"context":1000000,"output":65536},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Qwen3.6 Plus","reasoning":true,"reasoning_options":[{"type":"toggle"},{"max":81920,"type":"budget_tokens"}],"tool_call":true},"qwen3.7-max":{"limit":{"context":1000000,"output":65536},"modalities":{"input":["text"],"output":["text"]},"name":"Qwen3.7 Max","reasoning":true,"reasoning_options":[{"type":"toggle"},{"max":262144,"type":"budget_tokens"}],"tool_call":true},"qwen3.7-plus":{"limit":{"context":1000000,"output":64000},"modalities":{"input":["text","image"],"output":["text"]},"name":"Qwen3.7 Plus","reasoning":true,"reasoning_options":[{"type":"toggle"},{"max":262144,"type":"budget_tokens"}],"tool_call":true},"qwen3.8-max-preview":{"limit":{"context":1000000,"output":131072},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Qwen3.8 Max Preview","reasoning":true,"reasoning_options":[{"type":"effort","values":["low","medium","xhigh"]},{"max":262144,"min":0,"type":"budget_tokens"}],"tool_call":true},"wan2.7-image":{"limit":{"context":8192,"output":0},"modalities":{"input":["text"],"output":["image"]},"name":"Wan2.7 Image","reasoning":false,"tool_call":false},"wan2.7-image-pro":{"limit":{"context":8192,"output":0},"modalities":{"input":["text"],"output":["image"]},"name":"Wan2.7 Image Pro","reasoning":false,"tool_call":false}}},"alibaba-token-plan-cn":{"models":{"MiniMax-M2.5":{"limit":{"context":196608,"input":196601,"output":24576},"modalities":{"input":["text"],"output":["text"]},"name":"MiniMax-M2.5","reasoning":true,"reasoning_options":[],"tool_call":true},"deepseek-v3.2":{"limit":{"context":131072,"output":65536},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V3.2","reasoning":true,"reasoning_options":[{"type":"toggle"}],"tool_call":true},"deepseek-v4-flash":{"limit":{"context":1000000,"output":3Line truncated
+{"_meta":{"note":"filtered snapshot for kigi model-metadata enrichment; regenerate via scripts/gen_enrichment_snapshot.py","source":"https://models.dev/api.json (github.com/sst/models.dev, MIT)"},"alibaba-token-plan":{"models":{"MiniMax-M2.5":{"limit":{"context":196608,"input":196601,"output":32768},"modalities":{"input":["text"],"output":["text"]},"name":"MiniMax-M2.5","reasoning":true,"reasoning_options":[],"tool_call":true},"deepseek-v3.2":{"limit":{"context":131072,"output":65536},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V3.2","reasoning":true,"reasoning_options":[{"type":"toggle"}],"tool_call":true},"deepseek-v4-flash":{"limit":{"context":1000000,"output":384000},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V4 Flash","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"effort","values":["high","max"]}],"tool_call":true},"deepseek-v4-flash-0731":{"limit":{"context":1000000,"output":384000},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V4 Flash 0731","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"effort","values":["high","max"]}],"tool_call":true},"deepseek-v4-pro":{"limit":{"context":1000000,"output":384000},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V4 Pro","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"effort","values":["high","max"]}],"tool_call":true},"deepseek-v4-pro-0813":{"limit":{"context":1000000,"output":384000},"modalities":{"input":["text"],"output":["text"]},"name":"DeepSeek V4 Pro 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Flash","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"effort","values":["low","high","max"]}],"tool_call":true},"glm-5":{"limit":{"context":202752,"output":16384},"modalities":{"input":["text"],"output":["text"]},"name":"GLM-5","reasoning":true,"reasoning_options":[{"type":"toggle"}],"tool_call":true},"glm-5.1":{"limit":{"context":202752,"output":128000},"modalities":{"input":["text"],"output":["text"]},"name":"GLM-5.1","reasoning":true,"reasoning_options":[{"type":"toggle"}],"tool_call":true},"glm-5.2":{"limit":{"context":1000000,"output":131072},"modalities":{"input":["text"],"output":["text"]},"name":"GLM-5.2","reasoning":true,"reasoning_options":[{"type":"effort","values":["high","max"]}],"tool_call":true},"glm-5.3":{"limit":{"context":1000000,"output":131072},"modalities":{"input":["text"],"output":["text"]},"name":"GLM-5.3","reasoning":true,"reasoning_options":[{"type":"effort","values":["low","high","max"]}],"tool_call":true},"happyhorse-1.1-i2v":{"limit":{"context":0,"output":0},"modalities":{"input":["image","text"],"output":["video"]},"name":"HappyHorse 1.1 Image-to-Video","reasoning":false,"tool_call":false},"happyhorse-1.1-r2v":{"limit":{"context":0,"output":0},"modalities":{"input":["image","text"],"output":["video"]},"name":"HappyHorse 1.1 Reference-to-Video","reasoning":false,"tool_call":false},"happyhorse-1.1-t2v":{"limit":{"context":0,"output":0},"modalities":{"input":["text"],"output":["video"]},"name":"HappyHorse 1.1 Text-to-Video","reasoning":false,"tool_call":false},"kimi-k2.5":{"limit":{"context":262144,"output":98304},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Kimi K2.5","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"budget_tokens"}],"tool_call":true},"kimi-k2.6":{"limit":{"context":262144,"output":262144},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Kimi K2.6","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"budget_tokens"}],"tool_call":true},"kimi-k2.7-code":{"limit":{"context":262144,"output":262144},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Kimi K2.7 Code","reasoning":true,"reasoning_options":[{"type":"toggle"},{"type":"budget_tokens"}],"tool_call":true},"qwen-image-2.0":{"limit":{"context":8192,"output":0},"modalities":{"input":["text"],"output":["image"]},"name":"Qwen Image 2.0","reasoning":false,"tool_call":false},"qwen-image-2.0-pro":{"limit":{"context":8192,"output":0},"modalities":{"input":["text"],"output":["image"]},"name":"Qwen Image 2.0 Pro","reasoning":false,"tool_call":false},"qwen3.6-flash":{"limit":{"context":1000000,"output":65536},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Qwen3.6 Flash","reasoning":true,"reasoning_options":[{"type":"toggle"},{"max":131072,"type":"budget_tokens"}],"tool_call":true},"qwen3.6-plus":{"limit":{"context":1000000,"output":65536},"modalities":{"input":["text","image","video"],"output":["text"]},"name":"Qwen3.6 Plus","reasoning":true,"reasoning_options":[{"type":"toggle"},{"max":131072,"type":"budget_tokens"}],"tool_call":true},"qwen3.7-max":{"limit":{"context":1000000,Line truncated

crates/codegen/kigi-models/src/enrichment.rs

@@ -223,7 +223,7 @@ mod tests {
             "snapshot lost providers: {}",
             catalog.len()
         );
-        let k3 = lookup(catalog, "kimi-for-coding", "k3").expect("k3 present");
+        let k3 = lookup(catalog, "kimi-code-plan-cn", "k3").expect("k3 present");
         assert_eq!(k3.context, 1_048_576, "k3 context must match the live wire");
         assert_eq!(k3.efforts, ["low", "high", "max"]);
         assert!(k3.reasoning);
@@ -232,6 +232,21 @@ mod tests {
         assert_eq!(opus.efforts, ["low", "medium", "high", "xhigh", "max"]);
     }
 
+    /// `restrict_to_enriched` drops a live listing id the enrichment catalog
+    /// does not know, so the bundled snapshot must admit the current flagship
+    /// models offline: grok-4.7 on xai (the `xai`/`xai-grok` rows) and
+    /// gpt-6-astra on the API-key `openai` row.
+    #[test]
+    fn bundled_snapshot_admits_the_current_flagship_models() {
+        let catalog = bundled_enrichment();
+        let grok = lookup(catalog, "xai", "grok-4.7").expect("grok-4.7 present");
+        assert!(grok.tool_call, "a non-tool-calling model is dropped");
+        assert_eq!(grok.context, 500_000);
+        let astra = lookup(catalog, "openai", "gpt-6-astra").expect("gpt-6-astra present");
+        assert!(astra.tool_call);
+        assert_eq!(astra.context, 1_050_000);
+    }
+
     /// Wire-served fields are never overwritten; absent fields are filled.
     #[test]
     fn enrich_fills_gaps_and_never_overwrites_wire() {

crates/codegen/kigi-shell/src/agent/enrichment_fetch.rs

@@ -367,7 +367,7 @@ mod tests {
         let _url = EnvGuard::set(MODELS_DEV_URL_ENV, "http://127.0.0.1:1/api.json");
         let catalog = load_enrichment_catalog_at(&path);
         assert!(
-            kigi_models::enrichment::lookup(&catalog, "kimi-for-coding", "k3").is_some(),
+            kigi_models::enrichment::lookup(&catalog, "kimi-code-plan-cn", "k3").is_some(),
             "bundled snapshot must back a total refresh failure"
         );
         assert!(!path.exists(), "failed refresh must not write a cache");
@@ -385,7 +385,7 @@ mod tests {
             let _url = EnvGuard::set(MODELS_DEV_URL_ENV, token);
             assert!(refresh_url().is_none(), "token {token:?} must disable");
             let catalog = load_enrichment_catalog_at(&path);
-            assert!(kigi_models::enrichment::lookup(&catalog, "kimi-for-coding", "k3").is_some());
+            assert!(kigi_models::enrichment::lookup(&catalog, "kimi-code-plan-cn", "k3").is_some());
         }
     }
 

scripts/gen_enrichment_snapshot.py

@@ -24,7 +24,7 @@ TARGETS = [
     "anthropic", "azure", "openai", "deepseek", "nvidia", "google",
     "amazon-bedrock", "mistral", "groq", "cerebras", "cloudflare-ai-gateway",
     "xai", "togetherai", "fireworks-ai", "opencode", "opencode-go",
-    "kimi-for-coding", "moonshotai", "moonshotai-cn", "minimax", "minimax-cn",
+    "kimi-code-plan-cn", "moonshotai", "moonshotai-cn", "minimax", "minimax-cn",
     "alibaba-token-plan", "alibaba-token-plan-cn", "xiaomi",
     "xiaomi-token-plan-cn", "zai-coding-plan", "zhipuai-coding-plan",
     "github-copilot", "vercel",