feat(opencode): cache-friendly compaction via primary loop request path

Default compaction no longer uses a dedicated compaction agent. It inherits the session's active agent and delegates request assembly to the primary loop's shared envelope (same system prompt, instructions, skills, MCP context, and tool definitions), replaying the typed message head and appending the summary instruction as the final user message. This keeps the compaction request prefix-identical to the preceding turn so provider prompt/KV caches are reused instead of fully re-prefilled. An explicitly configured agent.compaction preserves the legacy behavior exactly: dedicated hidden agent, optional model override, and the serialized-transcript summary request.
2026-08-14 15:32:52 -04:00 · 2026-08-13 23:10:07 -05:00
57 changed files with 361 additions and 444 deletions
@@ -332,7 +332,7 @@
        "@opentelemetry/sdk-trace-base": "2.6.1",
        "@parcel/watcher": "2.5.1",
        "@silvia-odwyer/photon-node": "0.3.4",
-        "ai-gateway-provider": "3.2.0",
+        "ai-gateway-provider": "3.1.2",
        "bun-pty": "0.4.8",
        "cross-spawn": "catalog:",
        "diff": "catalog:",
@@ -623,7 +623,7 @@
        "@types/ws": "8.18.1",
        "@zip.js/zip.js": "2.7.62",
        "ai": "catalog:",
-        "ai-gateway-provider": "3.2.0",
+        "ai-gateway-provider": "3.1.2",
        "bonjour-service": "1.3.0",
        "chokidar": "4.0.3",
        "cross-spawn": "catalog:",
@@ -1183,15 +1183,15 @@

    "@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OqcCq2PiFY1dbK/0Ck45KuvE8jfdxRuuAE9Y5w46dAk6U+9vPOeg1CDcmR+ncqmrYrhRl3nmyDttyDahyjCzAw=="],

-    "@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.51", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-DPoKiCXDwzopJI/pHcZnXaycZ5qqCL4xCWcfsb1s8M8OUPchK2GUHcCXt6v056fAqtKWLF/hrW+RcHFFY0qyHQ=="],
+    "@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-VscTV68g6sXRY4O1yl72/O8y6+tBDvSQax6bqX06hRKWBGxsJ8Jr3LZsNmZnK9Od5Icx565ijK0QgrlNaN4TdQ=="],

    "@ai-sdk/deepinfra": ["@ai-sdk/deepinfra@2.0.41", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.37", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-y6RoOP7DGWmDSiSxrUSt5p18sbz+Ixe5lMVPmdE7x+Tr5rlrzvftyHhjWHfqlAtoYERZTGFbP6tPW1OfQcrb4A=="],

    "@ai-sdk/deepseek": ["@ai-sdk/deepseek@2.0.47", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MzcQ321JO8OY+TVLFI81A7cIIuoeLLxrLCDD+8C1E3Ro6UFyfMtRXo9bw9OhTMRSDMo6hgSDOo4Fekz8aJtQYQ=="],

-    "@ai-sdk/elevenlabs": ["@ai-sdk/elevenlabs@2.0.51", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-XFONX6rAsu6d13cJVUfZfkq4a+qdThlxvoEfzYlSRa1AvALlzwX7Y6bunXxevuifT3n882+nDdWrdiYvFP0+Fw=="],
+    "@ai-sdk/elevenlabs": ["@ai-sdk/elevenlabs@2.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-EtvsWfGrqx3OhzJdoi82qH+4yzEPPKZr2utyQ+w8cHKoFeg0+8Lou9Z3uixy73WEwz8Z1+AR8QT9fZ64AWGYPA=="],

-    "@ai-sdk/fireworks": ["@ai-sdk/fireworks@2.0.76", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.67", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-yg1ulgemh6BLMrs2vBNbtjV70NhenFI3Z7psB7s94FOEcGevvyV1qdFoqsgBZ7QyuUGwnC645c+eBFFtPAr5SQ=="],
+    "@ai-sdk/fireworks": ["@ai-sdk/fireworks@2.0.53", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.48", "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-HjeiGsdxSzrCkOf2l2V+K+opzlqxBtduBq6BCiohAdgQk2KdZmI/67SMkBM6Kdze/BjUXiZlv0d7zNICPhxVDA=="],

    "@ai-sdk/gateway": ["@ai-sdk/gateway@3.0.104", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23", "@vercel/oidc": "3.2.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ZKX5n74io8VIRlhIMSLWVlvT3sXC8Z7cZ9GHuWBWZDVi96+62AIsWuLGvMfcBA1STYuSoDrp6rIziZmvrTq0TA=="],

@@ -3063,7 +3063,7 @@

    "ai": ["ai@6.0.168", "", { "dependencies": { "@ai-sdk/gateway": "3.0.104", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23", "@opentelemetry/api": "1.9.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-2HqCJuO+1V2aV7vfYs5LFEUfxbkGX+5oa54q/gCCTL7KLTdbxcCu5D7TdLA5kwsrs3Szgjah9q6D9tpjHM3hUQ=="],

-    "ai-gateway-provider": ["ai-gateway-provider@3.2.0", "", { "optionalDependencies": { "@ai-sdk/amazon-bedrock": "^4.0.117", "@ai-sdk/anthropic": "^3.0.84", "@ai-sdk/azure": "^3.0.74", "@ai-sdk/cerebras": "^2.0.56", "@ai-sdk/cohere": "^3.0.38", "@ai-sdk/deepgram": "^2.0.35", "@ai-sdk/deepseek": "^2.0.38", "@ai-sdk/elevenlabs": "^2.0.35", "@ai-sdk/fireworks": "^2.0.56", "@ai-sdk/google": "^3.0.82", "@ai-sdk/google-vertex": "^4.0.145", "@ai-sdk/groq": "^3.0.41", "@ai-sdk/mistral": "^3.0.39", "@ai-sdk/openai": "^3.0.71", "@ai-sdk/perplexity": "^3.0.35", "@ai-sdk/xai": "^3.0.95", "@openrouter/ai-sdk-provider": "^2.10.0" }, "peerDependencies": { "@ai-sdk/openai-compatible": "^2.0.0", "@ai-sdk/provider": "^3.0.0", "@ai-sdk/provider-utils": "^4.0.0", "ai": "^6.0.0" } }, "sha512-IGSV96IqAfiZd20CWSMVQk5sVeLcJR2uQcoWLB8GdkxyvQrsU3x4U0o1Ok6bfVJug7SrlX6I8ibz9cHIkUyRtg=="],
+    "ai-gateway-provider": ["ai-gateway-provider@3.1.2", "", { "optionalDependencies": { "@ai-sdk/amazon-bedrock": "^4.0.62", "@ai-sdk/anthropic": "^3.0.46", "@ai-sdk/azure": "^3.0.31", "@ai-sdk/cerebras": "^2.0.34", "@ai-sdk/cohere": "^3.0.21", "@ai-sdk/deepgram": "^2.0.20", "@ai-sdk/deepseek": "^2.0.20", "@ai-sdk/elevenlabs": "^2.0.20", "@ai-sdk/fireworks": "^2.0.34", "@ai-sdk/google": "^3.0.30", "@ai-sdk/google-vertex": "^4.0.61", "@ai-sdk/groq": "^3.0.24", "@ai-sdk/mistral": "^3.0.20", "@ai-sdk/openai": "^3.0.30", "@ai-sdk/perplexity": "^3.0.19", "@ai-sdk/xai": "^3.0.57", "@openrouter/ai-sdk-provider": "^2.2.3" }, "peerDependencies": { "@ai-sdk/openai-compatible": "^2.0.0", "@ai-sdk/provider": "^3.0.0", "@ai-sdk/provider-utils": "^4.0.0", "ai": "^6.0.0" } }, "sha512-krGNnJSoO/gJ7Hbe5nQDlsBpDUGIBGtMQTRUaW7s1MylsfvLduba0TLWzQaGtOmNRkP0pGhtGlwsnS6FNQMlyw=="],

    "ajv": ["ajv@8.20.0", "", { "dependencies": { "fast-deep-equal": "^3.1.3", "fast-uri": "^3.0.1", "json-schema-traverse": "^1.0.0", "require-from-string": "^2.0.2" } }, "sha512-Thbli+OlOj+iMPYFBVBfJ3OmCAnaSyNn4M1vz9T6Gka5Jt9ba/HIR56joy65tY6kx/FCF5VXNB819Y7/GUrBGA=="],

@@ -5667,9 +5667,9 @@

    "@ai-sdk/cohere/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],

-    "@ai-sdk/deepgram/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+    "@ai-sdk/deepgram/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],

-    "@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
+    "@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],

    "@ai-sdk/deepinfra/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],

@@ -5677,15 +5677,15 @@

    "@ai-sdk/deepseek/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],

-    "@ai-sdk/elevenlabs/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+    "@ai-sdk/elevenlabs/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],

-    "@ai-sdk/elevenlabs/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
+    "@ai-sdk/elevenlabs/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],

-    "@ai-sdk/fireworks/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.67", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-glcEJC2mBXJKj7joFI0fRhcbdDYKTBgXMPcT6Vcnlym67tTzuNG9pFx3zblxVv8TdOxhojJja5zGG19yeGJxuA=="],
+    "@ai-sdk/fireworks/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.48", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-z9MC6M4Oh/yUY/F/eszOtO8wc2nMz99XmZQKd2gWTtyIfe716xTfrKe3aYZKg20NZDtyjqPPKPSR+wqz7q1T7Q=="],

-    "@ai-sdk/fireworks/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+    "@ai-sdk/fireworks/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],

-    "@ai-sdk/fireworks/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
+    "@ai-sdk/fireworks/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],

    "@ai-sdk/google/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],

@@ -6171,25 +6171,21 @@

    "accepts/negotiator": ["negotiator@0.6.3", "", {}, "sha512-+EUsqGPLsM+j/zdChZjsnX51g4XrHFOIXwfnCVPGlQk/k5giakcKsuxCObBRu6DSm9opw/O6slWbJdghQM4bBg=="],

-    "ai-gateway-provider/@ai-sdk/amazon-bedrock": ["@ai-sdk/amazon-bedrock@4.0.153", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.110", "@ai-sdk/openai": "3.0.96", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45", "@smithy/eventstream-codec": "^4.0.1", "@smithy/util-utf8": "^4.0.0", "aws4fetch": "^1.0.20" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-iEXrLgWylCHJmznqlKLU3CqRh8UWibv+illrwmsk136FVBBvyXiGnpQrI1pGWCScVLQjBQSFQu7GJDkUEomf/A=="],
+    "ai-gateway-provider/@ai-sdk/amazon-bedrock": ["@ai-sdk/amazon-bedrock@4.0.107", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.78", "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27", "@smithy/eventstream-codec": "^4.0.1", "@smithy/util-utf8": "^4.0.0", "aws4fetch": "^1.0.20" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-8nT08pGPy25rleJNk56ep00UHK6kCtCmu+ZNqVVSSPDieADlIZqcaN1iRXAFBoCH0Fb9F6C2EjFDaySdsargfQ=="],

-    "ai-gateway-provider/@ai-sdk/anthropic": ["@ai-sdk/anthropic@3.0.110", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-rNkamQCeAUOUGr5Npg5pXZyYFH4fS1U6Mbdy3dF/NNBEI3D2Chc/ruRrwNegP0gfpX3cllP3O4jSibGBbWPZ7A=="],
+    "ai-gateway-provider/@ai-sdk/anthropic": ["@ai-sdk/anthropic@3.0.78", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-0OY12G20cUt6iU6htpEA1491Oz++NVxZxlmWGX4B7rSbeZ5pnDmOu6YtW9BKzdZlNx5Gn23i6WMxyZFoMKNcgA=="],

-    "ai-gateway-provider/@ai-sdk/cerebras": ["@ai-sdk/cerebras@2.0.60", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.54", "@ai-sdk/provider": "3.0.12", "@ai-sdk/provider-utils": "4.0.33" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Rnok3cThg6awBwaDSyiZpgRpbV7pqxGYrA89LODCo5cuEHeP2h0AM0lLHP7zIkclAdXfOm4wldKi/S2T/DGCOw=="],
+    "ai-gateway-provider/@ai-sdk/azure": ["@ai-sdk/azure@3.0.49", "", { "dependencies": { "@ai-sdk/openai": "3.0.48", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-wskgAL+OmrHG7by/iWIxEBQCEdc1mDudha/UZav46i0auzdFfsDB/k2rXZaC4/3nWSgMZkxr0W3ncyouEGX/eg=="],

-    "ai-gateway-provider/@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.54", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-cXLjIsSzUriPHe704IH6d+ipJ/OvczTB700p9Zma7DPgQzvxG/diyr8q/2LEsbTRiTopiKhky8dn1PJNQcJToQ=="],
+    "ai-gateway-provider/@ai-sdk/deepseek": ["@ai-sdk/deepseek@2.0.35", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-9DhYurbAvcurOEGN6u2myYDybrrzGfcrkG8hwmFjwTrePW6KCMggm0YxP7e8RkLYcQKqCEMgFlyEB4BM6EmiKg=="],

-    "ai-gateway-provider/@ai-sdk/google": ["@ai-sdk/google@3.0.108", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-kwvYpRNghqt0VRKE7Hx1UWZQCUJJFqUITj24baxy+ApS0Hru0PkBJHD75a36Wc+e6e+wHcKR2MconTeJiBZigA=="],
+    "ai-gateway-provider/@ai-sdk/mistral": ["@ai-sdk/mistral@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ZXe7nZQgliDdjz5ufH5RKpHWxbN72AzmzzKGbF/z+0K9GN5tUCnftrQRvTRFHA5jAzTapcm2BEevmGLVbMkW+A=="],

-    "ai-gateway-provider/@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@4.0.181", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.110", "@ai-sdk/google": "3.0.108", "@ai-sdk/openai-compatible": "2.0.67", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45", "google-auth-library": "^10.5.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-57b5Qor8V53vubkxCj09tbHWpzpCLUbzmll2FwShuLvyEAsCH6mh3sAowDhiwUWPXnLzU+rC3RVMKCPscqICcg=="],
+    "ai-gateway-provider/@ai-sdk/openai": ["@ai-sdk/openai@3.0.53", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Wld+Rbc05KaUn08uBt06eEuwcgalcIFtIl32Yp+GxuZXUQwOb6YeAuq+C6da4ch6BurFoqEaLemJVwjBb7x+PQ=="],

-    "ai-gateway-provider/@ai-sdk/groq": ["@ai-sdk/groq@3.0.59", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-X4h60TGq4pIOXPsthatUr+bfTaYCaKGX597hG9JgcueEl4+nboCdw99ixjFKGkvYlBJwLCCfI957EmGA2QlF0w=="],
+    "ai-gateway-provider/@ai-sdk/xai": ["@ai-sdk/xai@3.0.82", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.41", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-A0VFMufnVf4wODcT3SPQUUzvYXiIO1VhFuXj9r6z/vP4rlo+QRDPw3WSTchcz93ROQWSfBE3I6Szqz342OHi5w=="],

-    "ai-gateway-provider/@ai-sdk/openai": ["@ai-sdk/openai@3.0.84", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-cmgbeJL0bbY0yTJH4/AdmP5E7MjWRL9G8UdhIi0JlV/So03o82ORJofW8OzwCZPTORVQblFbpZXYGDcUd9NdUQ=="],
-
-    "ai-gateway-provider/@ai-sdk/perplexity": ["@ai-sdk/perplexity@3.0.53", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-bL3SWrPltTuxVNg/bZ5APbJLVe0+BIU+BYAbT8Yo0eSAZ5eMTImN2murQHZa08Wi8lUMm8MNolaYBQkb0JDbFw=="],
-
-    "ai-gateway-provider/@openrouter/ai-sdk-provider": ["@openrouter/ai-sdk-provider@2.10.0", "", { "peerDependencies": { "ai": "^6.0.0", "zod": "^3.25.0 || ^4.0.0" } }, "sha512-FMsAEjLUt5pWuRE2LDC/LCvVrFjLlrEzUITH5+5SZtfq7KZ2wrOHjQVxzz92sju8S9ltpzW87CLW8/b0oBXVCw=="],
+    "ai-gateway-provider/@openrouter/ai-sdk-provider": ["@openrouter/ai-sdk-provider@2.8.1", "", { "peerDependencies": { "ai": "^6.0.0", "zod": "^3.25.0 || ^4.0.0" } }, "sha512-Y6j3yivgoEUf/kutD/k5GX/mzZfioRFoSx0gbQ+mIOzMaH/vJv1rCkztiuvlLw5xRYQil7oxHUZvmSfXqOx1NQ=="],

    "ajv-keywords/ajv": ["ajv@6.15.0", "", { "dependencies": { "fast-deep-equal": "^3.1.1", "fast-json-stable-stringify": "^2.0.0", "json-schema-traverse": "^0.4.1", "uri-js": "^4.2.2" } }, "sha512-fgFx7Hfoq60ytK2c7DhnF8jIvzYgOMxfugjLOSMHjLIPgenqa7S7oaagATUq99mV6IYvN2tRmC0wnTYX6iPbMw=="],

@@ -6599,20 +6595,14 @@

    "@ai-sdk/deepgram/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "@ai-sdk/deepgram/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
    "@ai-sdk/deepinfra/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

    "@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

    "@ai-sdk/elevenlabs/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "@ai-sdk/elevenlabs/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
    "@ai-sdk/fireworks/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "@ai-sdk/fireworks/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
    "@ai-sdk/google-vertex/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

    "@ai-sdk/google/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
@@ -6987,51 +6977,29 @@

    "accepts/mime-types/mime-db": ["mime-db@1.52.0", "", {}, "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg=="],

-    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/openai": ["@ai-sdk/openai@3.0.96", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-Pex8vOj1y05j7jtBS39cJJRDjJbMIyCY9+01cSIp1hwEJTKImrFejMgsAazMWXSi/HU+B9ZE6ElftCOwvg4mmQ=="],
+    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],

-    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
-
-    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
+    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],

    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@smithy/eventstream-codec": ["@smithy/eventstream-codec@4.2.14", "", { "dependencies": { "@aws-crypto/crc32": "5.2.0", "@smithy/types": "^4.14.1", "@smithy/util-hex-encoding": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-erZq0nOIpzfeZdCyzZjdJb4nVSKLUmSkaQUVkRGQTXs30gyUGeKnrYEg+Xe1W5gE3aReS7IgsvANwVPxSzY6Pw=="],

    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],

-    "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+    "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],

-    "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
+    "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],

-    "ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.54", "", { "dependencies": { "@ai-sdk/provider": "3.0.12", "@ai-sdk/provider-utils": "4.0.33" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OyXt0zK8y2/ZIyWlbxTv2r1M7AK227S+Gl4BYOEF42q0wz1n5m4fwR8L4Fy/MQ4Ho6xje47MPsFcRdIqIyP6Rw=="],
+    "ai-gateway-provider/@ai-sdk/azure/@ai-sdk/openai": ["@ai-sdk/openai@3.0.48", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ALmj/53EXpcRqMbGpPJPP4UOSWw0q4VGpnDo7YctvsynjkrKDmoneDG/1a7VQnSPYHnJp6tTRMf5ZdxZ5whulg=="],

-    "ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider": ["@ai-sdk/provider@3.0.12", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-sj9DWTJ2Ze0WR9qsiOPqoqzNx3OxL6iMxHImbhvoe9qOspekbzxNDMiJ4TIGfYHYh9w4OmBjz3prvqhzTi96+Q=="],
+    "ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],

-    "ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.12", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-nJ0bAfegMAIJtrzMJtbzer1cS3nb7c7DsyU1S4nrPm7ZU0Mn6SBBZv5IGZZGTbpWTJwqKTSPeZJTXalbAxt1BA=="],
+    "ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],

-    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+    "ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],

-    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
+    "ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],

-    "ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
-
-    "ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
-
-    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.67", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-glcEJC2mBXJKj7joFI0fRhcbdDYKTBgXMPcT6Vcnlym67tTzuNG9pFx3zblxVv8TdOxhojJja5zGG19yeGJxuA=="],
-
-    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
-
-    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
-
-    "ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
-
-    "ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
-
-    "ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider": ["@ai-sdk/provider@3.0.14", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-5X1k57JBJ4H7H1QjX7CnJYAB1I19r/trVZTMcSms7/kLNZ8RaU4Nt2agcwZzv82Hfx6Q7/TOLU7agAKeFfc8cA=="],
-
-    "ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],
-
-    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
-
-    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
+    "ai-gateway-provider/@ai-sdk/xai/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.41", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-kNAGINk71AlOXx10Dq/PXw4t/9XjdK8uxfpVElRwtSFMdeSiLVt58p9TPx4/FJD+hxZuVhvxYj9r42osxWq79g=="],

    "ajv-keywords/ajv/json-schema-traverse": ["json-schema-traverse@0.4.1", "", {}, "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="],

@@ -7451,35 +7419,13 @@

    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
    "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+    "ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
+    "ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

-    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
-
-    "ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
-    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
-
-    "ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
-    "ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
-
-    "ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
-    "ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
-
-    "ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
-
-    "ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
-
-    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
-
-    "ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
+    "ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],

    "ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],

@@ -1,8 +1,8 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-kDCnJMnaK/Jq7ckcpPB7Vl9v98EMSdcehZAtf8jNjTs=",
-    "aarch64-linux": "sha256-0aR+OJGXS5HMlXbe/BHybjIRvdNJJw6gjW+jr6Dk7Pk=",
-    "aarch64-darwin": "sha256-loLrV6xiorhwS/N2hlpiKSKX172Qxy+auNiPzFBhQSc=",
-    "x86_64-darwin": "sha256-PNEpQBLAz8M274bSyTpp0jofETn2L+D0uBiJHUV7nB0="
+    "x86_64-linux": "sha256-TNwKfqxD83UpZuCKN8FdEWN+CcQUP9CkCQSLGNqR/sA=",
+    "aarch64-linux": "sha256-qzvOJZzmq2QhlauElw8GwgQnCPHdhexI52L0md5zrxQ=",
+    "aarch64-darwin": "sha256-ZzoyLayOFfcYUAg35ZbZ2WapxDdd9IUWqy2xkxZH4QM=",
+    "x86_64-darwin": "sha256-maP/qLeaC3q8VcmNIPyIKlnplxFXJ7ULho3v21/16Mw="
  }
 }
@@ -25,7 +25,6 @@ const checkLoggedIn = query(async () => {
 const models = [
  { name: "Grok 4.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
  { name: "GPT 5.6 Luna", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
-  { name: "GLM-5.3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
  { name: "GLM-5.2", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
  { name: "GLM-5.1", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
  { name: "Kimi K3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
@@ -306,7 +306,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
          <ul data-slot="promo-models">
            <li>Grok 4.5</li>
            <li>GPT 5.6 Luna</li>
-            <li>GLM-5.3</li>
            <li>GLM-5.2</li>
            <li>GLM-5.1</li>
            <li>Kimi K3</li>
@@ -101,7 +101,7 @@
    "@parcel/watcher": "2.5.1",
    "@silvia-odwyer/photon-node": "0.3.4",
    "@openrouter/ai-sdk-provider": "2.9.0",
-    "ai-gateway-provider": "3.2.0",
+    "ai-gateway-provider": "3.1.2",
    "bun-pty": "0.4.8",
    "cross-spawn": "catalog:",
    "diff": "catalog:",
@@ -173,6 +173,18 @@ export const buildPrompt = (input: { readonly previousSummary?: string; readonly
  ].join("\n\n")
 }

+export const buildReplayPrompt = (previousSummary?: string) => {
+  const instruction =
+    "Create a new anchored summary from the conversation messages above so another coding agent can continue the work."
+  if (!previousSummary) return [instruction, SUMMARY_TEMPLATE].join("\n\n")
+  return [
+    instruction,
+    `Here is the summary of the conversation before the messages above:\n\n<prior-summary>\n${previousSummary}\n</prior-summary>`,
+    SUMMARY_UPDATE_INSTRUCTIONS,
+    SUMMARY_TEMPLATE,
+  ].join("\n\n")
+}
+
 export const make = (dependencies: Dependencies) => {
  const config = settings(dependencies.config)
  const compactAfterOverflow = Effect.fn("SessionCompaction.compactAfterOverflow")(function* (input: Input) {
@@ -12,6 +12,7 @@ import { SessionMessage } from "./message"
 import { SessionMessageUpdater } from "./message-updater"
 import { SessionInput } from "./input"
 import { WorkspaceV2 } from "../workspace"
+import { SessionContextEpoch } from "./context-epoch"
 import { MessageTable, PartTable, SessionInputTable, SessionMessageTable, SessionTable } from "./sql"
 import type { DeepMutable } from "../schema"

@@ -252,6 +253,7 @@ const layer = Layer.effectDiscard(
          .where(eq(SessionTable.id, event.data.sessionID))
          .run()
          .pipe(Effect.orDie)
+        yield* SessionContextEpoch.reset(db, event.data.sessionID)
      }),
    )
    yield* events.project(SessionV1.Event.Deleted, (event) =>
@@ -447,6 +449,7 @@ const layer = Layer.effectDiscard(
          .where(eq(SessionTable.id, event.data.sessionID))
          .run()
          .pipe(Effect.orDie)
+        yield* SessionContextEpoch.reset(db, event.data.sessionID)
      }),
    )
  }),
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { DateTime, Effect, Schema } from "effect"
-import { asc, eq, sql } from "drizzle-orm"
+import { asc, eq } from "drizzle-orm"
 import { Database } from "@opencode-ai/core/database/database"
 import { LayerNode } from "@opencode-ai/core/effect/layer-node"
 import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
@@ -22,7 +22,6 @@ import { SessionInput } from "@opencode-ai/core/session/input"
 import { SessionInputTable, SessionMessageTable, SessionTable } from "@opencode-ai/core/session/sql"
 import { testEffect } from "./lib/effect"
 import { Snapshot } from "@opencode-ai/core/snapshot"
-import { Location } from "@opencode-ai/core/location"

 const it = testEffect(AppNodeBuilder.build(LayerNode.group([Database.node, EventV2.node, SessionProjector.node])))
 const sessionsLayer = AppNodeBuilder.build(SessionV2.node, [[SessionExecution.node, SessionExecution.noopLayer]])
@@ -45,39 +44,6 @@ const assistantRow = (
 }

 describe("SessionProjector", () => {
-  it.effect("projects moved sessions without the transitional context epoch table", () =>
-    Effect.gen(function* () {
-      const { db } = yield* Database.Service
-      const events = yield* EventV2.Service
-      yield* db
-        .insert(ProjectTable)
-        .values({ id: Project.ID.global, worktree: AbsolutePath.make("/project"), sandboxes: [] })
-        .run()
-      yield* db
-        .insert(SessionTable)
-        .values({
-          id: sessionID,
-          project_id: Project.ID.global,
-          slug: "test",
-          directory: "/project",
-          title: "test",
-          version: "test",
-        })
-        .run()
-      yield* db.run(sql`DROP TABLE session_context_epoch`)
-
-      yield* events.publish(SessionEvent.Moved, {
-        sessionID,
-        timestamp: DateTime.makeUnsafe(1),
-        location: Location.Ref.make({ directory: AbsolutePath.make("/project/subdir") }),
-      })
-
-      expect(yield* db.select({ directory: SessionTable.directory }).from(SessionTable).get()).toEqual({
-        directory: "/project/subdir",
-      })
-    }),
-  )
-
  it.effect("projects staged, cleared, and committed reverts", () =>
    Effect.gen(function* () {
      const db = (yield* Database.Service).db
@@ -703,6 +703,13 @@ describe("SessionRunnerLLM", () => {
        timestamp: DateTime.makeUnsafe(1),
        location: Location.Ref.make({ directory: AbsolutePath.make("/moved") }),
      })
+      expect(
+        yield* db
+          .select()
+          .from(SessionContextEpochTable)
+          .where(eq(SessionContextEpochTable.session_id, sessionID))
+          .get(),
+      ).toBeUndefined()

      yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Second" }), resume: false })
      const exit = yield* session.resume(sessionID).pipe(Effect.exit)
@@ -111,7 +111,7 @@
    "@types/ws": "8.18.1",
    "@zip.js/zip.js": "2.7.62",
    "ai": "catalog:",
-    "ai-gateway-provider": "3.2.0",
+    "ai-gateway-provider": "3.1.2",
    "bonjour-service": "1.3.0",
    "chokidar": "4.0.3",
    "cross-spawn": "catalog:",
@@ -216,21 +216,6 @@ const layer = Layer.effect(
            mode: "subagent",
            native: true,
          },
-          compaction: {
-            name: "compaction",
-            mode: "primary",
-            native: true,
-            hidden: true,
-            prompt: PROMPT_COMPACTION,
-            permission: Permission.merge(
-              defaults,
-              Permission.fromConfig({
-                "*": "deny",
-              }),
-              user,
-            ),
-            options: {},
-          },
          title: {
            name: "title",
            mode: "primary",
@@ -270,6 +255,26 @@ const layer = Layer.effect(
            continue
          }
          let item = agents[key]
+          // The compaction agent is not registered by default: compaction inherits
+          // the session's active agent so its request stays prefix-identical for
+          // prompt caching. An explicit `agent.compaction` config opts into the
+          // legacy dedicated agent, seeded here so overrides merge as before.
+          if (!item && key === "compaction")
+            item = agents[key] = {
+              name: "compaction",
+              mode: "primary",
+              native: true,
+              hidden: true,
+              prompt: PROMPT_COMPACTION,
+              permission: Permission.merge(
+                defaults,
+                Permission.fromConfig({
+                  "*": "deny",
+                }),
+                user,
+              ),
+              options: {},
+            }
          if (!item)
            item = agents[key] = {
              name: key,
@@ -714,7 +714,6 @@ const layer = Layer.effect(
    })

    const list = Effect.fn("Workspace.list")(function* (project: Project.Info) {
-      if (!flags.experimentalWorkspaces) return []
      return (yield* db
        .select()
        .from(WorkspaceTable)
@@ -852,7 +851,6 @@ const layer = Layer.effect(
    })

    const startWorkspaceSyncing = Effect.fn("Workspace.startWorkspaceSyncing")(function* (projectID: ProjectV2.ID) {
-      if (!flags.experimentalWorkspaces) return
      const rows = yield* db
        .selectDistinct({ workspace: WorkspaceTable })
        .from(WorkspaceTable)
@@ -20,7 +20,7 @@ import { RuntimeFlags } from "@/effect/runtime-flags"
 import { EventV2Bridge } from "@/event-v2-bridge"
 import { ProviderV2 } from "@opencode-ai/core/provider"
 import { ModelV2 } from "@opencode-ai/core/model"
-import { buildPrompt } from "@opencode-ai/core/session/compaction"
+import { buildPrompt, buildReplayPrompt } from "@opencode-ai/core/session/compaction"
 import { SessionCompactionEvent } from "@opencode-ai/schema/session-compaction-event"

 export const Event = SessionCompactionEvent
@@ -162,6 +162,15 @@ function splitTurn(input: {
  })
 }

+export type Run = (input: {
+  user: SessionV1.User
+  agent: Agent.Info
+  model: Provider.Model
+  processor: SessionProcessor.Handle
+  messages: SessionV1.WithParts[]
+  prompt: string
+}) => Effect.Effect<SessionProcessor.Result>
+
 export interface Interface {
  readonly isOverflow: (input: {
    tokens: SessionV1.Assistant["tokens"]
@@ -174,6 +183,7 @@ export interface Interface {
    sessionID: SessionID
    auto: boolean
    overflow?: boolean
+    run?: Run
  }) => Effect.Effect<"continue" | "stop">
  readonly create: (input: {
    sessionID: SessionID
@@ -322,6 +332,7 @@ const layer = Layer.effect(
      sessionID: SessionID
      auto: boolean
      overflow?: boolean
+      run?: Run
    }) {
      const parent = input.messages.findLast((m) => m.info.id === input.parentID)
      if (!parent || parent.info.role !== "user") {
@@ -355,11 +366,13 @@ const layer = Layer.effect(
        }
      }

-      const agent = yield* agents.get("compaction")
-      const model = agent.model
-        ? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
-        : yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
      const cfg = yield* config.get()
+      const configured = cfg.agent?.compaction !== undefined
+      const agent = yield* agents.get(configured ? "compaction" : userMessage.agent)
+      const model =
+        configured && agent.model
+          ? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
+          : yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
      const history = compactionPart && messages.at(-1)?.info.id === input.parentID ? messages.slice(0, -1) : messages
      const prior = completedCompactions(history)
      const hidden = new Set(prior.flatMap((item) => [item.userIndex, item.assistantIndex]))
@@ -377,18 +390,16 @@ const layer = Layer.effect(
      )
      const msgs = structuredClone(selected.head)
      yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
-      const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
-      const nextPrompt =
+      // A configured compaction agent keeps the legacy serialized-transcript path.
+      const run = configured ? undefined : input.run
+      const conversation = run ? "" : msgs.map(serialize).filter(Boolean).join("\n\n")
+      const nextPrompt = [
        compacting.prompt ??
-        [
-          buildPrompt({
-            previousSummary,
-            context: [conversation],
-          }),
-          ...compacting.context,
-        ]
-          .filter(Boolean)
-          .join("\n\n")
+          (run ? buildReplayPrompt(previousSummary) : buildPrompt({ previousSummary, context: [conversation] })),
+        ...compacting.context,
+      ]
+        .filter(Boolean)
+        .join("\n\n")
      const ctx = yield* InstanceState.context
      const msg: SessionV1.Assistant = {
        id: MessageID.ascending(),
@@ -422,30 +433,43 @@ const layer = Layer.effect(
        sessionID: input.sessionID,
        model,
      })
-      const result = yield* processor.process({
-        user: userMessage,
-        agent,
-        sessionID: input.sessionID,
-        tools: {},
-        system: [],
-        messages: [
-          {
-            role: "user",
-            content: [
+      // The synthetic compaction marker carries no per-turn system/tools settings.
+      const active = msgs.findLast(
+        (message) => message.info.role === "user" && !message.parts.some((part) => part.type === "compaction"),
+      )
+      const result = run
+        ? yield* run({
+            user: active?.info.role === "user" ? active.info : userMessage,
+            agent,
+            model,
+            processor,
+            messages: msgs,
+            prompt: nextPrompt,
+          })
+        : yield* processor.process({
+            user: userMessage,
+            agent,
+            sessionID: input.sessionID,
+            tools: {},
+            system: [],
+            messages: [
              {
-                type: "text",
-                text: [
-                  nextPrompt,
-                  ...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
-                ]
-                  .filter(Boolean)
-                  .join("\n\n"),
+                role: "user",
+                content: [
+                  {
+                    type: "text",
+                    text: [
+                      nextPrompt,
+                      ...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
+                    ]
+                      .filter(Boolean)
+                      .join("\n\n"),
+                  },
+                ],
              },
            ],
-          },
-        ],
-        model,
-      })
+            model,
+          })

      if (result === "compact") {
        processor.message.error = new SessionV1.ContextOverflowError({
@@ -149,6 +149,45 @@ const layer = Layer.effect(
      } satisfies TaskPromptOps
    })

+    // One assembly path keeps compaction requests prefix-identical to normal turns for prompt caching.
+    const prepare = Effect.fn("SessionPrompt.prepare")(function* (input: {
+      session: Session.Info
+      agent: Agent.Info
+      model: Provider.Model
+      processor: SessionProcessor.Handle
+      messages: SessionV1.WithParts[]
+    }) {
+      const lastUserMsg = input.messages.findLast((message) => message.info.role === "user")
+      const tools = yield* SessionTools.resolve({
+        agent: input.agent,
+        session: input.session,
+        model: input.model,
+        processor: input.processor,
+        bypassAgentCheck: lastUserMsg?.parts.some((part) => part.type === "agent") ?? false,
+        messages: input.messages,
+        promptOps: yield* ops(),
+      }).pipe(
+        Effect.provideService(Plugin.Service, plugin),
+        Effect.provideService(Permission.Service, permission),
+        Effect.provideService(ToolRegistry.Service, registry),
+        Effect.provideService(MCP.Service, mcp),
+        Effect.provideService(Truncate.Service, truncate),
+        Effect.provideService(RuntimeFlags.Service, flags),
+      )
+      const [skills, env, instructions, mcpInstructions, modelMessages] = yield* Effect.all([
+        sys.skills(input.agent),
+        sys.environment(input.model),
+        instruction.system().pipe(Effect.orDie),
+        sys.mcp(input.agent, input.session.permission),
+        MessageV2.toModelMessagesEffect(input.messages, input.model),
+      ])
+      return {
+        tools,
+        modelMessages,
+        system: [...env, ...instructions, ...(mcpInstructions ? [mcpInstructions] : []), ...(skills ? [skills] : [])],
+      }
+    })
+
    const cancel = Effect.fn("SessionPrompt.cancel")(function* (sessionID: SessionID) {
      yield* Effect.logInfo("cancel", { "session.id": sessionID })
      yield* state.cancel(sessionID)
@@ -1153,6 +1192,21 @@ const layer = Layer.effect(
              sessionID,
              auto: task.auto,
              overflow: task.overflow,
+              run: ({ user, agent, model, processor, messages, prompt }) =>
+                Effect.gen(function* () {
+                  const prepared = yield* prepare({ session, agent, model, processor, messages })
+                  return yield* processor.process({
+                    user,
+                    agent,
+                    permission: session.permission,
+                    sessionID,
+                    parentSessionID: session.parentID,
+                    system: prepared.system,
+                    messages: [...prepared.modelMessages, { role: "user", content: prompt }],
+                    tools: prepared.tools,
+                    model,
+                  })
+                }),
            })
            if (result === "stop") break
            continue
@@ -1219,68 +1273,34 @@ const layer = Layer.effect(
            .pipe(Effect.onInterrupt(() => finalizeInterruptedAssistant))

          const outcome: "break" | "continue" = yield* Effect.gen(function* () {
-            const lastUserMsg = msgs.findLast((m) => m.info.role === "user")
-            const bypassAgentCheck = lastUserMsg?.parts.some((p) => p.type === "agent") ?? false
-            const promptOps = yield* ops()
-
-            const tools = yield* SessionTools.resolve({
-              agent,
-              session,
-              model,
-              processor: handle,
-              bypassAgentCheck,
-              messages: msgs,
-              promptOps,
-            }).pipe(
-              Effect.provideService(Plugin.Service, plugin),
-              Effect.provideService(Permission.Service, permission),
-              Effect.provideService(ToolRegistry.Service, registry),
-              Effect.provideService(MCP.Service, mcp),
-              Effect.provideService(Truncate.Service, truncate),
-              Effect.provideService(RuntimeFlags.Service, flags),
-            )
-
-            if (lastUser.format?.type === "json_schema") {
-              tools["StructuredOutput"] = createStructuredOutputTool({
-                schema: lastUser.format.schema,
-                onSuccess(output) {
-                  structured = output
-                },
-              })
-            }
-
            if (step === 1)
              yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))

            yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })

-            const [skills, env, instructions, mcpInstructions, modelMsgs] = yield* Effect.all([
-              sys.skills(agent),
-              sys.environment(model),
-              instruction.system().pipe(Effect.orDie),
-              sys.mcp(agent, session.permission),
-              MessageV2.toModelMessagesEffect(msgs, model),
-            ])
-            const system = [
-              ...env,
-              ...instructions,
-              ...(mcpInstructions ? [mcpInstructions] : []),
-              ...(skills ? [skills] : []),
-            ]
+            const prepared = yield* prepare({ session, agent, model, processor: handle, messages: msgs })
            const format = lastUser.format ?? { type: "text" as const }
-            if (format.type === "json_schema") system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
+            if (format.type === "json_schema") {
+              prepared.system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
+              prepared.tools["StructuredOutput"] = createStructuredOutputTool({
+                schema: format.schema,
+                onSuccess(output) {
+                  structured = output
+                },
+              })
+            }
            const result = yield* handle.process({
              user: lastUser,
              agent,
              permission: session.permission,
              sessionID,
              parentSessionID: session.parentID,
-              system,
+              system: prepared.system,
              messages: [
-                ...modelMsgs,
+                ...prepared.modelMessages,
                ...(isLastStep ? [{ role: "assistant" as const, content: MAX_STEPS_PROMPT }] : []),
              ],
-              tools,
+              tools: prepared.tools,
              model,
              toolChoice: format.type === "json_schema" ? "required" : undefined,
            })
@@ -56,12 +56,7 @@ import { PermissionV1 } from "@opencode-ai/core/v1/permission"
 import { McpCatalog } from "@/mcp/catalog"

 export function webSearchEnabled(providerID: ProviderV2.ID, flags = { exa: false, parallel: false }) {
-  return (
-    providerID === ProviderV2.ID.opencode ||
-    providerID === ProviderV2.ID.make("opencode-go") ||
-    flags.exa ||
-    flags.parallel
-  )
+  return providerID === ProviderV2.ID.opencode || flags.exa || flags.parallel
 }

 type TaskDef = Tool.InferDef<typeof TaskTool>
@@ -52,7 +52,7 @@ it.instance("returns default native agents when no config", () =>
    expect(names).toContain("plan")
    expect(names).toContain("general")
    expect(names).toContain("explore")
-    expect(names).toContain("compaction")
+    expect(names).not.toContain("compaction")
    expect(names).toContain("title")
    expect(names).toContain("summary")
  }),
@@ -170,17 +170,34 @@ it.instance("general agent denies todo tools", () =>
  }),
 )

-it.instance("compaction agent denies all permissions", () =>
+it.instance("compaction agent is absent without configuration", () =>
  Effect.gen(function* () {
    const compaction = yield* load((svc) => svc.get("compaction"))
-    expect(compaction).toBeDefined()
-    expect(compaction?.hidden).toBe(true)
-    expect(evalPerm(compaction, "bash")).toBe("deny")
-    expect(evalPerm(compaction, "edit")).toBe("deny")
-    expect(evalPerm(compaction, "read")).toBe("deny")
+    expect(compaction).toBeUndefined()
  }),
 )

+it.instance(
+  "configured compaction agent keeps native defaults",
+  () =>
+    Effect.gen(function* () {
+      const compaction = yield* load((svc) => svc.get("compaction"))
+      expect(compaction).toBeDefined()
+      expect(compaction?.native).toBe(true)
+      expect(compaction?.hidden).toBe(true)
+      expect(evalPerm(compaction, "bash")).toBe("deny")
+      expect(evalPerm(compaction, "edit")).toBe("deny")
+      expect(evalPerm(compaction, "read")).toBe("deny")
+    }),
+  {
+    config: {
+      agent: {
+        compaction: {},
+      },
+    },
+  },
+)
+
 it.instance(
  "custom agent from config creates new agent",
  () =>
@@ -710,6 +727,9 @@ it.instance(
  {
    config: {
      default_agent: "compaction",
+      agent: {
+        compaction: {},
+      },
    },
  },
 )
@@ -8,7 +8,6 @@ import { Effect, Exit, Fiber, Layer, Schema } from "effect"
 import { HttpServer, HttpServerRequest, HttpServerResponse } from "effect/unstable/http"
 import { eq } from "drizzle-orm"
 import { GlobalBus, type GlobalEvent } from "@/bus/global"
-import { Project } from "@/project/project"
 import { Database } from "@opencode-ai/core/database/database"
 import { ProjectV2 } from "@opencode-ai/core/project"
 import { ProjectTable } from "@opencode-ai/core/project/sql"
@@ -134,9 +133,6 @@ const startWorkspaceSyncingWithFlag = (projectID: ProjectV2.ID, experimentalWork
    Workspace.use.startWorkspaceSyncing(projectID).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))),
  )

-const listWithFlag = (project: Project.Info, experimentalWorkspaces: boolean) =>
-  Effect.runPromise(Workspace.use.list(project).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))))
-
 function captureGlobalEvents() {
  const events: GlobalEvent[] = []
  const handler = (event: GlobalEvent) => events.push(event)
@@ -421,18 +417,6 @@ describe("workspace CRUD", () => {
    { git: true },
  )

-  it.instance(
-    "list is disabled by the experimental workspace flag",
-    () =>
-      Effect.gen(function* () {
-        const instance = yield* requireInstance
-        yield* insertWorkspace(workspaceInfo(instance.project.id, "manual"))
-
-        expect(yield* Effect.promise(() => listWithFlag(instance.project, false))).toEqual([])
-      }),
-    { git: true },
-  )
-
  it.instance(
    "create configures, persists, creates, starts local sync, and passes environment",
    () =>
@@ -222,6 +222,11 @@ function cfg(compaction?: ConfigV1.Info["compaction"]) {
  return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed({ ...base, compaction }) }))
 }

+function cfgAgent(agent: NonNullable<ConfigV1.Info["agent"]>) {
+  const config = Schema.decodeUnknownSync(ConfigV1.Info)({ agent }) as ConfigV1.Info
+  return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed(config) }))
+}
+
 const defaultProvider = wide()
 const compactionTestNode = LayerNode.group([
  SessionCompaction.node,
@@ -812,6 +817,75 @@ describe("session.compaction.prune", () => {
 })

 describe("session.compaction.process", () => {
+  itCompaction.instance(
+    "inherits the last agent when compaction is not configured",
+    () => {
+      const stub = llm()
+      let captured: LLM.StreamInput | undefined
+      stub.push(reply("summary", (input) => (captured = input)))
+      return Effect.gen(function* () {
+        const ssn = yield* SessionNs.Service
+        const session = yield* ssn.create({})
+        const msg = yield* createUserMessage(session.id, "hello")
+        const msgs = yield* ssn.messages({ sessionID: session.id })
+
+        yield* SessionCompaction.use.process({
+          parentID: msg.id,
+          messages: msgs,
+          sessionID: session.id,
+          auto: false,
+        })
+
+        expect(captured?.agent.name).toBe("build")
+        expect(captured?.agent.prompt).toBe("custom build prompt")
+        expect(captured?.agent.temperature).toBe(0.37)
+        expect(String(captured?.model.providerID)).toBe("test")
+        expect(String(captured?.model.id)).toBe("test-model")
+      }).pipe(
+        withCompaction({
+          llm: stub.llmLayer,
+          config: cfgAgent({
+            build: { prompt: "custom build prompt", temperature: 0.37, model: "missing/missing" },
+          }),
+        }),
+      )
+    },
+    { git: true },
+  )
+
+  itCompaction.instance(
+    "preserves an explicitly configured compaction agent",
+    () => {
+      const stub = llm()
+      let captured: LLM.StreamInput | undefined
+      stub.push(reply("summary", (input) => (captured = input)))
+      return Effect.gen(function* () {
+        const ssn = yield* SessionNs.Service
+        const session = yield* ssn.create({})
+        const msg = yield* createUserMessage(session.id, "hello")
+        const msgs = yield* ssn.messages({ sessionID: session.id })
+
+        yield* SessionCompaction.use.process({
+          parentID: msg.id,
+          messages: msgs,
+          sessionID: session.id,
+          auto: false,
+        })
+
+        expect(captured?.agent.name).toBe("compaction")
+        expect(captured?.agent.prompt).toBe("custom compaction prompt")
+        expect(captured?.agent.temperature).toBe(0.81)
+        expect(captured?.agent.hidden).toBe(true)
+      }).pipe(
+        withCompaction({
+          llm: stub.llmLayer,
+          config: cfgAgent({ compaction: { prompt: "custom compaction prompt", temperature: 0.81 } }),
+        }),
+      )
+    },
+    { git: true },
+  )
+
  it.instance(
    "throws when parent is not a user message",
    Effect.gen(function* () {
@@ -444,6 +444,34 @@ const boot = Effect.fn("test.boot")(function* (input?: { title?: string }) {

 // Loop semantics

+it.instance("default compaction reuses the normal system and tools", () =>
+  Effect.gen(function* () {
+    const { llm } = yield* useServerConfig(providerCfg)
+    const { prompt, chat } = yield* boot()
+    const compact = yield* SessionCompaction.Service
+    yield* user(chat.id, "cache prefix message")
+    yield* llm.text("normal response")
+    yield* prompt.loop({ sessionID: chat.id })
+
+    yield* compact.create({ sessionID: chat.id, agent: "build", model: ref, auto: false })
+    yield* llm.text("compacted summary")
+    yield* prompt.loop({ sessionID: chat.id })
+
+    const inputs = yield* llm.inputs
+    expect(inputs).toHaveLength(2)
+    expect(inputs[1]?.tools).toEqual(inputs[0]?.tools)
+    const normalMessages = Array.isArray(inputs[0]?.messages) ? inputs[0].messages : []
+    const compactMessages = Array.isArray(inputs[1]?.messages) ? inputs[1].messages : []
+    const system = (message: unknown) =>
+      typeof message === "object" && message !== null && "role" in message && message.role === "system"
+    expect(compactMessages.find(system)).toEqual(normalMessages.find(system))
+    expect(JSON.stringify(compactMessages)).toContain("cache prefix message")
+    expect(JSON.stringify(compactMessages)).toContain("normal response")
+    expect(JSON.stringify(compactMessages)).toContain("Create a new anchored summary")
+    expect(JSON.stringify(compactMessages)).not.toContain("[User]: cache prefix message")
+  }),
+)
+
 noLLMServer.instance(
  "loop exits immediately when last assistant has stop finish",
  () =>
@@ -37,9 +37,8 @@ describe("websearch provider", () => {
    expect(selectWebSearchProvider(SESSION_ID, { exa: false, parallel: true })).toBe("parallel")
  })

-  test("is enabled for OpenCode providers or explicit websearch provider flags", () => {
+  test("is only enabled for opencode or explicit websearch provider flags", () => {
    expect(webSearchEnabled(ProviderV2.ID.opencode, { exa: false, parallel: false })).toBe(true)
-    expect(webSearchEnabled(ProviderV2.ID.make("opencode-go"), { exa: false, parallel: false })).toBe(true)
    expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: false })).toBe(false)
    expect(webSearchEnabled(ProviderV2.ID.openai, { exa: true, parallel: false })).toBe(true)
    expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: true })).toBe(true)
@@ -50,7 +50,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 تشمل قائمة النماذج الحالية:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | ----------------- | ------------------- | ------------------ | ---------------- |
 | Grok 4.5          | 120                 | 300                | 600              |
 | GPT 5.6 Luna      | 2,050               | 5,100              | 10,250           |
-| GLM-5.3           | 220                 | 540                | 1,080            |
 | GLM-5.2           | 880                 | 2,150              | 4,300            |
 | GLM-5.1           | 880                 | 2,150              | 4,300            |
 | Kimi K3           | 110                 | 250                | 490              |
@@ -110,7 +108,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 تستند التقديرات إلى أنماط الطلبات المرصودة:

 - Grok 4.5 — ‏1,100 input، و71,500 cached، و220 output tokens لكل طلب
- GLM-5.3/5.2/5.1 — ‏700 input، و52,000 cached، و150 output tokens لكل طلب
+- GLM-5.2/5.1 — ‏700 input، و52,000 cached، و150 output tokens لكل طلب
 - GPT 5.6 Luna — ‏1,000 توكن إدخال، و50,000 توكن مخزّن مؤقتًا، و220 توكن إخراج لكل طلب
 - Kimi K3 — ‏1,050 input، و76,500 cached، و300 output tokens لكل طلب
 - Kimi K2.7/K2.6 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
@@ -133,7 +131,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | Grok 4.5                     | $2.00   | $6.00   | $0.30           | -               | $15       |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20   | $1.20   | $0.02           | $0.25           | $15       |
 | GPT 5.6 Luna (> 272K tokens) | $0.40   | $1.80   | $0.04           | $0.50           | $15       |
-| GLM-5.3                      | $1.40   | $4.40   | $0.26           | -               | $15       |
 | GLM-5.2                      | $1.40   | $4.40   | $0.26           | -               | $60       |
 | GLM-5.1                      | $1.40   | $4.40   | $0.26           | -               | $60       |
 | Kimi K3                      | $3.00   | $15.00  | $0.30           | -               | $15       |
@@ -190,7 +187,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------- | ------------------ |
 | Grok 4.5          | غير مستخدَمة  | 30 يومًا           |
 | GPT 5.6 Luna      | غير مستخدَمة  | 30 يومًا           |
-| GLM-5.3           | غير مستخدَمة  | 0 أيام             |
 | GLM-5.2           | غير مستخدَمة  | 0 أيام             |
 | GLM-5.1           | غير مستخدَمة  | 0 أيام             |
 | Kimi K3           | غير مستخدَمة  | 0 أيام             |
@@ -85,7 +85,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -94,7 +93,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -173,7 +171,6 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00   | $15.00  | $0.30           | $3.75           |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60           | $7.50           |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10           | $1.25           |
-| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15           | -               |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15           | -               |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15           | -               |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03           | -               |
@@ -185,7 +182,6 @@ https://opencode.ai/zen/v1/models
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30           | -               |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60           | -               |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20           | -               |
-| Muse Spark 1.2                    | $1.25   | $4.25   | $0.15           | -               |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00   | $30.00  | $0.50           | $6.25           |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00  | $45.00  | $1.00           | $12.50          |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00   | $12.00  | $0.20           | $2.50           |
@@ -60,7 +60,6 @@ Samo jedan član po radnom prostoru (workspace) može se pretplatiti na OpenCode
 Trenutna lista modela uključuje:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -99,7 +98,6 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
 | ----------------- | ------------------ | ----------------- | ----------------- |
 | Grok 4.5          | 120                | 300               | 600               |
 | GPT 5.6 Luna      | 2,050              | 5,100             | 10,250            |
-| GLM-5.3           | 220                | 540               | 1,080             |
 | GLM-5.2           | 880                | 2,150             | 4,300             |
 | GLM-5.1           | 880                | 2,150             | 4,300             |
 | Kimi K3           | 110                | 250               | 490               |
@@ -120,7 +118,7 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
 Procjene se zasnivaju na zapaženim obrascima zahtjeva:

 - Grok 4.5 — 1,100 ulaznih, 71,500 keširanih, 220 izlaznih tokena po zahtjevu
- GLM-5.3/5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
+- GLM-5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
 - GPT 5.6 Luna — 1,000 ulaznih, 50,000 keširanih, 220 izlaznih tokena po zahtjevu
 - Kimi K3 — 1,050 ulaznih, 76,500 keširanih, 300 izlaznih tokena po zahtjevu
 - Kimi K2.7/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
@@ -143,7 +141,6 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15       |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15       |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15       |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15       |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60       |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60       |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15       |
@@ -202,7 +199,6 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -243,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ----------------- | -------------------- |
 | Grok 4.5          | Ne koristi se     | 30 dana              |
 | GPT 5.6 Luna      | Ne koristi se     | 30 dana              |
-| GLM-5.3           | Ne koristi se     | 0 dana               |
 | GLM-5.2           | Ne koristi se     | 0 dana               |
 | GLM-5.1           | Ne koristi se     | 0 dana               |
 | Kimi K3           | Ne koristi se     | 0 dana               |
@@ -90,7 +90,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -192,7 +189,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -60,7 +60,6 @@ Kun ét medlem per arbejdsområde kan abonnere på OpenCode Go.
 Den nuværende liste over modeller inkluderer:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -99,7 +98,6 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
 | ----------------- | ----------------------- | ------------------- | --------------------- |
 | Grok 4.5          | 120                     | 300                 | 600                   |
 | GPT 5.6 Luna      | 2,050                   | 5,100               | 10,250                |
-| GLM-5.3           | 220                     | 540                 | 1,080                 |
 | GLM-5.2           | 880                     | 2,150               | 4,300                 |
 | GLM-5.1           | 880                     | 2,150               | 4,300                 |
 | Kimi K3           | 110                     | 250                 | 490                   |
@@ -120,7 +118,7 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
 Estimaterne er baseret på observerede anmodningsmønstre:

 - Grok 4.5 — 1.100 input, 71.500 cachelagrede, 220 output-tokens pr. anmodning
- GLM-5.3/5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
+- GLM-5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
 - GPT 5.6 Luna — 1.000 input, 50.000 cachelagrede, 220 output-tokens pr. anmodning
 - Kimi K3 — 1.050 input, 76.500 cachelagrede, 300 output-tokens pr. anmodning
 - Kimi K2.7/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
@@ -143,7 +141,6 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15     |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15     |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15     |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15     |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60     |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60     |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15     |
@@ -202,7 +199,6 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -243,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------ | -------------- |
 | Grok 4.5          | Ikke brugt   | 30 dage        |
 | GPT 5.6 Luna      | Ikke brugt   | 30 dage        |
-| GLM-5.3           | Ikke brugt   | 0 dage         |
 | GLM-5.2           | Ikke brugt   | 0 dage         |
 | GLM-5.1           | Ikke brugt   | 0 dage         |
 | Kimi K3           | Ikke brugt   | 0 dage         |
@@ -90,7 +90,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -192,7 +189,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -52,7 +52,6 @@ Nur ein Mitglied pro Workspace kann OpenCode Go abonnieren.
 Die aktuelle Liste der Modelle umfasst:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -91,7 +90,6 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
 | ----------------- | ---------------------- | ------------------ | ------------------ |
 | Grok 4.5          | 120                    | 300                | 600                |
 | GPT 5.6 Luna      | 2,050                  | 5,100              | 10,250             |
-| GLM-5.3           | 220                    | 540                | 1,080              |
 | GLM-5.2           | 880                    | 2,150              | 4,300              |
 | GLM-5.1           | 880                    | 2,150              | 4,300              |
 | Kimi K3           | 110                    | 250                | 490                |
@@ -112,7 +110,7 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
 Die Schätzungen basieren auf beobachteten Anfragemustern:

 - Grok 4.5 — 1.100 Input-, 71.500 Cached-, 220 Output-Tokens pro Anfrage
- GLM-5.3/5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
+- GLM-5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
 - GPT 5.6 Luna — 1.000 Input-, 50.000 Cached-, 220 Output-Tokens pro Anfrage
 - Kimi K3 — 1.050 Input-, 76.500 Cached-, 300 Output-Tokens pro Anfrage
 - Kimi K2.7/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
@@ -135,7 +133,6 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15     |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15     |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15     |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15     |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60     |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60     |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15     |
@@ -192,7 +189,6 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -231,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | --------------- | ----------------- |
 | Grok 4.5          | Nicht verwendet | 30 Tage           |
 | GPT 5.6 Luna      | Nicht verwendet | 30 Tage           |
-| GLM-5.3           | Nicht verwendet | 0 Tage            |
 | GLM-5.2           | Nicht verwendet | 0 Tage            |
 | GLM-5.1           | Nicht verwendet | 0 Tage            |
 | Kimi K3           | Nicht verwendet | 0 Tage            |
@@ -81,7 +81,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -90,7 +89,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -169,7 +167,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -181,7 +178,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -60,7 +60,6 @@ Solo un miembro por espacio de trabajo puede suscribirse a OpenCode Go.
 La lista actual de modelos incluye:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -99,7 +98,6 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
 | ----------------- | ---------------------- | --------------------- | ------------------ |
 | Grok 4.5          | 120                    | 300                   | 600                |
 | GPT 5.6 Luna      | 2,050                  | 5,100                 | 10,250             |
-| GLM-5.3           | 220                    | 540                   | 1,080              |
 | GLM-5.2           | 880                    | 2,150                 | 4,300              |
 | GLM-5.1           | 880                    | 2,150                 | 4,300              |
 | Kimi K3           | 110                    | 250                   | 490                |
@@ -120,7 +118,7 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
 Las estimaciones se basan en los patrones de peticiones observados:

 - Grok 4.5 — 1,100 tokens de entrada, 71,500 en caché, 220 tokens de salida por petición
- GLM-5.3/5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
+- GLM-5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
 - GPT 5.6 Luna — 1,000 tokens de entrada, 50,000 en caché, 220 tokens de salida por petición
 - Kimi K3 — 1,050 tokens de entrada, 76,500 en caché, 300 tokens de salida por petición
 - Kimi K2.7/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
@@ -143,7 +141,6 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
 | Grok 4.5                     | $2.00   | $6.00  | $0.30            | -                  | $15 |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20   | $1.20  | $0.02            | $0.25              | $15 |
 | GPT 5.6 Luna (> 272K tokens) | $0.40   | $1.80  | $0.04            | $0.50              | $15 |
-| GLM-5.3                      | $1.40   | $4.40  | $0.26            | -                  | $15 |
 | GLM-5.2                      | $1.40   | $4.40  | $0.26            | -                  | $60 |
 | GLM-5.1                      | $1.40   | $4.40  | $0.26            | -                  | $60 |
 | Kimi K3                      | $3.00   | $15.00 | $0.30            | -                  | $15 |
@@ -202,7 +199,6 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -243,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------------------ | ------------------ |
 | Grok 4.5          | No utilizado             | 30 días            |
 | GPT 5.6 Luna      | No utilizado             | 30 días            |
-| GLM-5.3           | No utilizado             | 0 días             |
 | GLM-5.2           | No utilizado             | 0 días             |
 | GLM-5.1           | No utilizado             | 0 días             |
 | Kimi K3           | No utilizado             | 0 días             |
@@ -90,7 +90,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00   | $15.00  | $0.30            | $3.75              |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60            | $7.50              |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10            | $1.25              |
-| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15            | -                  |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15            | -                  |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15            | -                  |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03            | -                  |
@@ -192,7 +189,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30            | -                  |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60            | -                  |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20            | -                  |
-| Muse Spark 1.2                    | $1.25   | $4.25   | $0.15            | -                  |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00   | $30.00  | $0.50            | $6.25              |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00  | $45.00  | $1.00            | $12.50             |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00   | $12.00  | $0.20            | $2.50              |
@@ -50,7 +50,6 @@ Un seul membre par espace de travail peut s'abonner à OpenCode Go.
 La liste actuelle des modèles comprend :

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
 | ----------------- | --------------------- | -------------------- | ----------------- |
 | Grok 4.5          | 120                   | 300                  | 600               |
 | GPT 5.6 Luna      | 2,050                 | 5,100                | 10,250            |
-| GLM-5.3           | 220                   | 540                  | 1,080             |
 | GLM-5.2           | 880                   | 2,150                | 4,300             |
 | GLM-5.1           | 880                   | 2,150                | 4,300             |
 | Kimi K3           | 110                   | 250                  | 490               |
@@ -110,7 +108,7 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
 Les estimations sont basées sur les schémas de requêtes observés :

 - Grok 4.5 — 1,100 tokens en entrée, 71,500 en cache, 220 tokens en sortie par requête
- GLM-5.3/5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
+- GLM-5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
 - GPT 5.6 Luna — 1,000 tokens en entrée, 50,000 en cache, 220 tokens en sortie par requête
 - Kimi K3 — 1,050 tokens en entrée, 76,500 en cache, 300 tokens en sortie par requête
 - Kimi K2.7/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
@@ -133,7 +131,6 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15         |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15         |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15         |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15         |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60         |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60         |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15         |
@@ -190,7 +187,6 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------------------ | ------------------------ |
 | Grok 4.5          | Non utilisé              | 30 jours                 |
 | GPT 5.6 Luna      | Non utilisé              | 30 jours                 |
-| GLM-5.3           | Non utilisé              | 0 jour                   |
 | GLM-5.2           | Non utilisé              | 0 jour                   |
 | GLM-5.1           | Non utilisé              | 0 jour                   |
 | Kimi K3           | Non utilisé              | 0 jour                   |
@@ -81,7 +81,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -90,7 +89,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -169,7 +167,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -181,7 +178,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -60,7 +60,6 @@ Only one member per workspace can subscribe to OpenCode Go.
 The current list of models includes:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -99,7 +98,6 @@ The table below provides an estimated request count based on typical Go usage pa
 | ----------------- | ------------------- | ----------------- | ------------------ |
 | Grok 4.5          | 120                 | 300               | 600                |
 | GPT 5.6 Luna      | 2,050               | 5,100             | 10,250             |
-| GLM-5.3           | 220                 | 540               | 1,080              |
 | GLM-5.2           | 880                 | 2,150             | 4,300              |
 | GLM-5.1           | 880                 | 2,150             | 4,300              |
 | Kimi K3           | 110                 | 250               | 490                |
@@ -120,7 +118,7 @@ The table below provides an estimated request count based on typical Go usage pa
 The estimates are based on observed request patterns:

 - Grok 4.5 — 1,100 input, 71,500 cached, 220 output tokens per request
- GLM-5.3/5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
+- GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
 - GPT 5.6 Luna — 1,000 input, 50,000 cached, 220 output tokens per request
 - Kimi K3 — 1,050 input, 76,500 cached, 300 output tokens per request
 - Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
@@ -143,7 +141,6 @@ The estimates are also based on the following prices per 1M tokens and the month
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15   |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15   |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15   |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15   |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15   |
@@ -202,7 +199,6 @@ You can also access Go models through the following API endpoints.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -243,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | -------------- | -------------- |
 | Grok 4.5          | Not used       | 30 days        |
 | GPT 5.6 Luna      | Not used       | 30 days        |
-| GLM-5.3           | Not used       | 0 days         |
 | GLM-5.2           | Not used       | 0 days         |
 | GLM-5.1           | Not used       | 0 days         |
 | Kimi K3           | Not used       | 0 days         |
@@ -58,7 +58,6 @@ Solo un membro per workspace può abbonarsi a OpenCode Go.
 L'elenco attuale dei modelli include:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -97,7 +96,6 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
 | ----------------- | -------------------- | --------------------- | ----------------- |
 | Grok 4.5          | 120                  | 300                   | 600               |
 | GPT 5.6 Luna      | 2,050                | 5,100                 | 10,250            |
-| GLM-5.3           | 220                  | 540                   | 1,080             |
 | GLM-5.2           | 880                  | 2,150                 | 4,300             |
 | GLM-5.1           | 880                  | 2,150                 | 4,300             |
 | Kimi K3           | 110                  | 250                   | 490               |
@@ -118,7 +116,7 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
 Le stime si basano sui pattern di richieste osservati:

 - Grok 4.5 — 1.100 di input, 71.500 in cache, 220 token di output per richiesta
- GLM-5.3/5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
+- GLM-5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
 - GPT 5.6 Luna — 1.000 token di input, 50.000 in cache, 220 token di output per richiesta
 - Kimi K3 — 1.050 di input, 76.500 in cache, 300 token di output per richiesta
 - Kimi K2.7/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
@@ -141,7 +139,6 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15      |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15      |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15      |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15      |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60      |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60      |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15      |
@@ -200,7 +197,6 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -241,7 +237,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------------------- | ---------------------- |
 | Grok 4.5          | Non utilizzato            | 30 giorni              |
 | GPT 5.6 Luna      | Non utilizzato            | 30 giorni              |
-| GLM-5.3           | Non utilizzato            | 0 giorni               |
 | GLM-5.2           | Non utilizzato            | 0 giorni               |
 | GLM-5.1           | Non utilizzato            | 0 giorni               |
 | Kimi K3           | Non utilizzato            | 0 giorni               |
@@ -90,7 +90,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -192,7 +189,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -50,7 +50,6 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
 現在のモデルリストには以下が含まれます：

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ OpenCode Goには以下の制限が含まれています：
 | ----------------- | ------------------------- | ---------------- | ---------------- |
 | Grok 4.5          | 120                       | 300              | 600              |
 | GPT 5.6 Luna      | 2,050                     | 5,100            | 10,250           |
-| GLM-5.3           | 220                       | 540              | 1,080            |
 | GLM-5.2           | 880                       | 2,150            | 4,300            |
 | GLM-5.1           | 880                       | 2,150            | 4,300            |
 | Kimi K3           | 110                       | 250              | 490              |
@@ -110,7 +108,7 @@ OpenCode Goには以下の制限が含まれています：
 推定値は、観測されたリクエストパターンに基づいています：

 - Grok 4.5 — リクエストあたり 入力 1,100トークン、キャッシュ 71,500トークン、出力 220トークン
- GLM-5.3/5.2/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
+- GLM-5.2/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
 - GPT 5.6 Luna — リクエストあたり 入力 1,000トークン、キャッシュ 50,000トークン、出力 220トークン
 - Kimi K3 — リクエストあたり 入力 1,050トークン、キャッシュ 76,500トークン、出力 300トークン
 - Kimi K2.7/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
@@ -133,7 +131,6 @@ OpenCode Goには以下の制限が含まれています：
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15   |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15   |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15   |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15   |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15   |
@@ -190,7 +187,6 @@ Goでは月額$10を支払い、その6倍の利用枠を提供することを
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | -------------------- | ---------- |
 | Grok 4.5          | 使用なし             | 30日       |
 | GPT 5.6 Luna      | 使用なし             | 30日       |
-| GLM-5.3           | 使用なし             | 0日        |
 | GLM-5.2           | 使用なし             | 0日        |
 | GLM-5.1           | 使用なし             | 0日        |
 | Kimi K3           | 使用なし             | 0日        |
@@ -81,7 +81,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -90,7 +89,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -169,7 +167,6 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -181,7 +178,6 @@ https://opencode.ai/zen/v1/models
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -50,7 +50,6 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
 현재 모델 목록에는 다음이 포함됩니다.

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
 | ----------------- | ----------------- | -------------- | -------------- |
 | Grok 4.5          | 120               | 300            | 600            |
 | GPT 5.6 Luna      | 2,050             | 5,100          | 10,250         |
-| GLM-5.3           | 220               | 540            | 1,080          |
 | GLM-5.2           | 880               | 2,150          | 4,300          |
 | GLM-5.1           | 880               | 2,150          | 4,300          |
 | Kimi K3           | 110               | 250            | 490            |
@@ -110,7 +108,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
 이 예상치는 관찰된 요청 패턴을 기준으로 합니다.

 - Grok 4.5 — 요청당 입력 1,100, 캐시 71,500, 출력 토큰 220
- GLM-5.3/5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
+- GLM-5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
 - GPT 5.6 Luna — 요청당 입력 토큰 1,000개, 캐시 토큰 50,000개, 출력 토큰 220개
 - Kimi K3 — 요청당 입력 1,050, 캐시 76,500, 출력 토큰 300
 - Kimi K2.7/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
@@ -133,7 +131,6 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15   |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15   |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15   |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15   |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15   |
@@ -190,7 +187,6 @@ Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------- | ----------- |
 | Grok 4.5          | 사용되지 않음 | 30일        |
 | GPT 5.6 Luna      | 사용되지 않음 | 30일        |
-| GLM-5.3           | 사용되지 않음 | 0일         |
 | GLM-5.2           | 사용되지 않음 | 0일         |
 | GLM-5.1           | 사용되지 않음 | 0일         |
 | Kimi K3           | 사용되지 않음 | 0일         |
@@ -81,7 +81,6 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -90,7 +89,6 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -169,7 +167,6 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -181,7 +178,6 @@ https://opencode.ai/zen/v1/models
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -60,7 +60,6 @@ Kun ett medlem per arbeidsområde kan abonnere på OpenCode Go.
 Den nåværende listen over modeller inkluderer:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -99,7 +98,6 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
 | ----------------- | ------------------------ | -------------------- | ---------------------- |
 | Grok 4.5          | 120                      | 300                  | 600                    |
 | GPT 5.6 Luna      | 2,050                    | 5,100                | 10,250                 |
-| GLM-5.3           | 220                      | 540                  | 1,080                  |
 | GLM-5.2           | 880                      | 2,150                | 4,300                  |
 | GLM-5.1           | 880                      | 2,150                | 4,300                  |
 | Kimi K3           | 110                      | 250                  | 490                    |
@@ -120,7 +118,7 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
 Estimatene er basert på observerte forespørselsmønstre:

 - Grok 4.5 — 1 100 input, 71 500 bufret, 220 output-tokens per forespørsel
- GLM-5.3/5.2/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
+- GLM-5.2/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
 - GPT 5.6 Luna — 1 000 input, 50 000 bufret, 220 output-tokens per forespørsel
 - Kimi K3 — 1 050 input, 76 500 bufret, 300 output-tokens per forespørsel
 - Kimi K2.7/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
@@ -143,7 +141,6 @@ Estimatene er også basert på følgende priser per 1M tokens og den månedlige
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15  |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15  |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15  |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15  |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60  |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60  |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15  |
@@ -202,7 +199,6 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -243,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------- | --------------- |
 | Grok 4.5          | Brukes ikke   | 30 dager        |
 | GPT 5.6 Luna      | Brukes ikke   | 30 dager        |
-| GLM-5.3           | Brukes ikke   | 0 dager         |
 | GLM-5.2           | Brukes ikke   | 0 dager         |
 | GLM-5.1           | Brukes ikke   | 0 dager         |
 | Kimi K3           | Brukes ikke   | 0 dager         |
@@ -90,7 +90,6 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00   | $15.00  | $0.30         | $3.75           |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60         | $7.50           |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10         | $1.25           |
-| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15         | -               |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15         | -               |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15         | -               |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03         | -               |
@@ -192,7 +189,6 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30         | -               |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60         | -               |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20         | -               |
-| Muse Spark 1.2                    | $1.25   | $4.25   | $0.15         | -               |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00   | $30.00  | $0.50         | $6.25           |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00  | $45.00  | $1.00         | $12.50          |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00   | $12.00  | $0.20         | $2.50           |
@@ -54,7 +54,6 @@ Tylko jeden członek na obszar roboczy (workspace) może zasubskrybować OpenCod
 Obecna lista modeli obejmuje:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -93,7 +92,6 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
 | ----------------- | ------------------- | ------------------ | ------------------ |
 | Grok 4.5          | 120                 | 300                | 600                |
 | GPT 5.6 Luna      | 2,050               | 5,100              | 10,250             |
-| GLM-5.3           | 220                 | 540                | 1,080              |
 | GLM-5.2           | 880                 | 2,150              | 4,300              |
 | GLM-5.1           | 880                 | 2,150              | 4,300              |
 | Kimi K3           | 110                 | 250                | 490                |
@@ -114,7 +112,7 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
 Szacunki te opierają się na zaobserwowanych wzorcach żądań:

 - Grok 4.5 — 1 100 tokenów wejściowych, 71 500 w pamięci podręcznej, 220 tokenów wyjściowych na żądanie
- GLM-5.3/5.2/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
+- GLM-5.2/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
 - GPT 5.6 Luna — 1 000 tokenów wejściowych, 50 000 w pamięci podręcznej, 220 tokenów wyjściowych na żądanie
 - Kimi K3 — 1 050 tokenów wejściowych, 76 500 w pamięci podręcznej, 300 tokenów wyjściowych na żądanie
 - Kimi K2.7/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
@@ -137,7 +135,6 @@ Szacunki opierają się również na następujących cenach za 1M tokenów oraz
 | Grok 4.5                     | $2.00   | $6.00   | $0.30          | -              | $15    |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20   | $1.20   | $0.02          | $0.25          | $15    |
 | GPT 5.6 Luna (> 272K tokens) | $0.40   | $1.80   | $0.04          | $0.50          | $15    |
-| GLM-5.3                      | $1.40   | $4.40   | $0.26          | -              | $15    |
 | GLM-5.2                      | $1.40   | $4.40   | $0.26          | -              | $60    |
 | GLM-5.1                      | $1.40   | $4.40   | $0.26          | -              | $60    |
 | Kimi K3                      | $3.00   | $15.00  | $0.30          | -              | $15    |
@@ -194,7 +191,6 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -235,7 +231,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ----------------- | --------------- |
 | Grok 4.5          | Niewykorzystywane | 30 dni          |
 | GPT 5.6 Luna      | Niewykorzystywane | 30 dni          |
-| GLM-5.3           | Niewykorzystywane | 0 dni           |
 | GLM-5.2           | Niewykorzystywane | 0 dni           |
 | GLM-5.1           | Niewykorzystywane | 0 dni           |
 | Kimi K3           | Niewykorzystywane | 0 dni           |
@@ -90,7 +90,6 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00   | $15.00  | $0.30          | $3.75          |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60          | $7.50          |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10          | $1.25          |
-| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15          | -              |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15          | -              |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15          | -              |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03          | -              |
@@ -192,7 +189,6 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30          | -              |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60          | -              |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20          | -              |
-| Muse Spark 1.2                    | $1.25   | $4.25   | $0.15          | -              |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00   | $30.00  | $0.50          | $6.25          |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00  | $45.00  | $1.00          | $12.50         |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00   | $12.00  | $0.20          | $2.50          |
@@ -60,7 +60,6 @@ Apenas um membro por workspace pode assinar o OpenCode Go.
 A lista atual de modelos inclui:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -99,7 +98,6 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
 | ----------------- | ----------------------- | ---------------------- | ------------------- |
 | Grok 4.5          | 120                     | 300                    | 600                 |
 | GPT 5.6 Luna      | 2,050                   | 5,100                  | 10,250              |
-| GLM-5.3           | 220                     | 540                    | 1,080               |
 | GLM-5.2           | 880                     | 2,150                  | 4,300               |
 | GLM-5.1           | 880                     | 2,150                  | 4,300               |
 | Kimi K3           | 110                     | 250                    | 490                 |
@@ -120,7 +118,7 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
 As estimativas se baseiam nos padrões de requisições observados:

 - Grok 4.5 — 1.100 tokens de entrada, 71.500 em cache, 220 tokens de saída por requisição
- GLM-5.3/5.2/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
+- GLM-5.2/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
 - GPT 5.6 Luna — 1.000 tokens de entrada, 50.000 em cache, 220 tokens de saída por requisição
 - Kimi K3 — 1.050 tokens de entrada, 76.500 em cache, 300 tokens de saída por requisição
 - Kimi K2.7/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
@@ -143,7 +141,6 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso m
 | Grok 4.5                     | $2.00   | $6.00  | $0.30            | -                | $15 |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20   | $1.20  | $0.02            | $0.25            | $15 |
 | GPT 5.6 Luna (> 272K tokens) | $0.40   | $1.80  | $0.04            | $0.50            | $15 |
-| GLM-5.3                      | $1.40   | $4.40  | $0.26            | -                | $15 |
 | GLM-5.2                      | $1.40   | $4.40  | $0.26            | -                | $60 |
 | GLM-5.1                      | $1.40   | $4.40  | $0.26            | -                | $60 |
 | Kimi K3                      | $3.00   | $15.00 | $0.30            | -                | $15 |
@@ -202,7 +199,6 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -243,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ---------------------- | ----------------- |
 | Grok 4.5          | Não usado              | 30 dias           |
 | GPT 5.6 Luna      | Não usado              | 30 dias           |
-| GLM-5.3           | Não usado              | 0 dias            |
 | GLM-5.2           | Não usado              | 0 dias            |
 | GLM-5.1           | Não usado              | 0 dias            |
 | Kimi K3           | Não usado              | 0 dias            |
@@ -81,7 +81,6 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -90,7 +89,6 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -169,7 +167,6 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00   | $15.00  | $0.30            | $3.75            |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60            | $7.50            |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10            | $1.25            |
-| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15            | -                |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15            | -                |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15            | -                |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03            | -                |
@@ -181,7 +178,6 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30            | -                |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60            | -                |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20            | -                |
-| Muse Spark 1.2                    | $1.25   | $4.25   | $0.15            | -                |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00   | $30.00  | $0.50            | $6.25            |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00  | $45.00  | $1.00            | $12.50           |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00   | $12.00  | $0.20            | $2.50            |
@@ -60,7 +60,6 @@ OpenCode Go работает так же, как и любой другой пр
 Текущий список моделей включает:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -99,7 +98,6 @@ OpenCode Go включает следующие лимиты:
 | ----------------- | ------------------- | ----------------- | ---------------- |
 | Grok 4.5          | 120                 | 300               | 600              |
 | GPT 5.6 Luna      | 2,050               | 5,100             | 10,250           |
-| GLM-5.3           | 220                 | 540               | 1,080            |
 | GLM-5.2           | 880                 | 2,150             | 4,300            |
 | GLM-5.1           | 880                 | 2,150             | 4,300            |
 | Kimi K3           | 110                 | 250               | 490              |
@@ -120,7 +118,7 @@ OpenCode Go включает следующие лимиты:
 Эти оценки основаны на наблюдаемых показателях запросов:

 - Grok 4.5 — 1,100 входных, 71,500 кешированных, 220 выходных токенов на запрос
- GLM-5.3/5.2/5.1 — 700 входных, 52,000 кешированных, 150 выходных токенов на запрос
+- GLM-5.2/5.1 — 700 входных, 52,000 кешированных, 150 выходных токенов на запрос
 - GPT 5.6 Luna — 1,000 входных, 50,000 кешированных, 220 выходных токенов на запрос
 - Kimi K3 — 1,050 входных, 76,500 кешированных, 300 выходных токенов на запрос
 - Kimi K2.7/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
@@ -143,7 +141,6 @@ OpenCode Go включает следующие лимиты:
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15           |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15           |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15           |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15           |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60           |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60           |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15           |
@@ -202,7 +199,6 @@ OpenCode Go включает следующие лимиты:
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -243,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ---------------- | --------------- |
 | Grok 4.5          | Не используется  | 30 дней         |
 | GPT 5.6 Luna      | Не используется  | 30 дней         |
-| GLM-5.3           | Не используется  | 0 дней          |
 | GLM-5.2           | Не используется  | 0 дней          |
 | GLM-5.1           | Не используется  | 0 дней          |
 | Kimi K3           | Не используется  | 0 дней          |
@@ -90,7 +90,6 @@ OpenCode Zen работает как любой другой провайдер
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ OpenCode Zen работает как любой другой провайдер
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -192,7 +189,6 @@ https://opencode.ai/zen/v1/models
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -50,7 +50,6 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
 รายชื่อโมเดลในปัจจุบันประกอบด้วย:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 | ----------------- | ---------------------- | ------------------- | ----------------- |
 | Grok 4.5          | 120                    | 300                 | 600               |
 | GPT 5.6 Luna      | 2,050                  | 5,100               | 10,250            |
-| GLM-5.3           | 220                    | 540                 | 1,080             |
 | GLM-5.2           | 880                    | 2,150               | 4,300             |
 | GLM-5.1           | 880                    | 2,150               | 4,300             |
 | Kimi K3           | 110                    | 250                 | 490               |
@@ -110,7 +108,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 การประมาณการนี้อ้างอิงจากรูปแบบการใช้งาน request ที่สังเกตพบ:

 - Grok 4.5 — 1,100 input, 71,500 cached, 220 output tokens ต่อ request
- GLM-5.3/5.2/5.1 — 700 input, 52,000 cached, 150 output tokens ต่อ request
+- GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens ต่อ request
 - GPT 5.6 Luna — 1,000 input, 50,000 cached, 220 output tokens ต่อ request
 - Kimi K3 — 1,050 input, 76,500 cached, 300 output tokens ต่อ request
 - Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
@@ -133,7 +131,6 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15   |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15   |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15   |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15   |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60   |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15   |
@@ -190,7 +187,6 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ----------- | ------------------ |
 | Grok 4.5          | ไม่นำไปใช้  | 30 วัน             |
 | GPT 5.6 Luna      | ไม่นำไปใช้  | 30 วัน             |
-| GLM-5.3           | ไม่นำไปใช้  | 0 วัน              |
 | GLM-5.2           | ไม่นำไปใช้  | 0 วัน              |
 | GLM-5.1           | ไม่นำไปใช้  | 0 วัน              |
 | Kimi K3           | ไม่นำไปใช้  | 0 วัน              |
@@ -83,7 +83,6 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -92,7 +91,6 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -171,7 +169,6 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -183,7 +180,6 @@ https://opencode.ai/zen/v1/models
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -257,7 +257,7 @@ Allows the LLM to fetch and read web pages. Useful for looking up documentation
 Search the web for information.

 :::note
-This tool is only available when using the OpenCode or OpenCode Go provider, or when the `OPENCODE_ENABLE_EXA` environment variable is set to any truthy value (e.g., `true` or `1`).
+This tool is only available when using the OpenCode provider or when the `OPENCODE_ENABLE_EXA` environment variable is set to any truthy value (e.g., `true` or `1`).

 To enable when launching OpenCode:

@@ -50,7 +50,6 @@ Her çalışma alanından yalnızca bir üye OpenCode Go'ya abone olabilir.
 Mevcut model listesi şunları içerir:

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
 | ----------------- | ------------------ | -------------- | ----------- |
 | Grok 4.5          | 120                | 300            | 600         |
 | GPT 5.6 Luna      | 2,050              | 5,100          | 10,250      |
-| GLM-5.3           | 220                | 540            | 1,080       |
 | GLM-5.2           | 880                | 2,150          | 4,300       |
 | GLM-5.1           | 880                | 2,150          | 4,300       |
 | Kimi K3           | 110                | 250            | 490         |
@@ -110,7 +108,7 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
 Tahminler, gözlemlenen istek modellerine dayanır:

 - Grok 4.5 — İstek başına 1.100 girdi, 71.500 önbelleğe alınmış, 220 çıktı token'ı
- GLM-5.3/5.2/5.1 — İstek başına 700 girdi, 52.000 önbelleğe alınmış, 150 çıktı token'ı
+- GLM-5.2/5.1 — İstek başına 700 girdi, 52.000 önbelleğe alınmış, 150 çıktı token'ı
 - GPT 5.6 Luna — İstek başına 1.000 girdi, 50.000 önbelleğe alınmış, 220 çıktı token'ı
 - Kimi K3 — İstek başına 1.050 girdi, 76.500 önbelleğe alınmış, 300 çıktı token'ı
 - Kimi K2.7/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
@@ -133,7 +131,6 @@ Tahminler ayrıca 1M token başına aşağıdaki fiyatlara ve her modelle birlik
 | Grok 4.5                     | $2.00  | $6.00  | $0.30       | -            | $15      |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02       | $0.25        | $15      |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04       | $0.50        | $15      |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26       | -            | $15      |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26       | -            | $60      |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26       | -            | $60      |
 | Kimi K3                      | $3.00  | $15.00 | $0.30       | -            | $15      |
@@ -190,7 +187,6 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | ------------- | ------------ |
 | Grok 4.5          | Kullanılmaz   | 30 gün       |
 | GPT 5.6 Luna      | Kullanılmaz   | 30 gün       |
-| GLM-5.3           | Kullanılmaz   | 0 gün        |
 | GLM-5.2           | Kullanılmaz   | 0 gün        |
 | GLM-5.1           | Kullanılmaz   | 0 gün        |
 | Kimi K3           | Kullanılmaz   | 0 gün        |
@@ -81,7 +81,6 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -90,7 +89,6 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -169,7 +167,6 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -181,7 +178,6 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -90,7 +90,6 @@ You can also access our models through the following API endpoints.
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -99,7 +98,6 @@ You can also access our models through the following API endpoints.
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -180,7 +178,6 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30       | $3.75        |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
@@ -192,7 +189,6 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15       | -            |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50       | $6.25        |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00       | $12.50       |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20       | $2.50        |
@@ -50,7 +50,6 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
 当前支持的模型列表包括：

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ OpenCode Go 包含以下限制：
 | ----------------- | --------------- | ---------- | ---------- |
 | Grok 4.5          | 120             | 300        | 600        |
 | GPT 5.6 Luna      | 2,050           | 5,100      | 10,250     |
-| GLM-5.3           | 220             | 540        | 1,080      |
 | GLM-5.2           | 880             | 2,150      | 4,300      |
 | GLM-5.1           | 880             | 2,150      | 4,300      |
 | Kimi K3           | 110             | 250        | 490        |
@@ -110,7 +108,7 @@ OpenCode Go 包含以下限制：
 预估值基于观察到的请求模式：

 - Grok 4.5 — 每次请求 1,100 个输入 token，71,500 个缓存 token，220 个输出 token
- GLM-5.3/5.2/5.1 — 每次请求 700 个输入 token，52,000 个缓存 token，150 个输出 token
+- GLM-5.2/5.1 — 每次请求 700 个输入 token，52,000 个缓存 token，150 个输出 token
 - GPT 5.6 Luna — 每次请求 1,000 个输入 token，50,000 个缓存 token，220 个输出 token
 - Kimi K3 — 每次请求 1,050 个输入 token，76,500 个缓存 token，300 个输出 token
 - Kimi K2.7/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
@@ -133,7 +131,6 @@ OpenCode Go 包含以下限制：
 | Grok 4.5                     | $2.00  | $6.00  | $0.30     | -        | $15      |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02     | $0.25    | $15      |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04     | $0.50    | $15      |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26     | -        | $15      |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26     | -        | $60      |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26     | -        | $60      |
 | Kimi K3                      | $3.00  | $15.00 | $0.30     | -        | $15      |
@@ -190,7 +187,6 @@ OpenCode Go 包含以下限制：
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | -------- | -------- |
 | Grok 4.5          | 不使用   | 30 天    |
 | GPT 5.6 Luna      | 不使用   | 30 天    |
-| GLM-5.3           | 不使用   | 0 天     |
 | GLM-5.2           | 不使用   | 0 天     |
 | GLM-5.1           | 不使用   | 0 天     |
 | Kimi K3           | 不使用   | 0 天     |
@@ -81,7 +81,6 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -90,7 +89,6 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -169,7 +167,6 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30    | $3.75    |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60    | $7.50    |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10    | $1.25    |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15    | -        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15    | -        |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15    | -        |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03    | -        |
@@ -181,7 +178,6 @@ https://opencode.ai/zen/v1/models
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30    | -        |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60    | -        |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20    | -        |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15    | -        |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50    | $6.25    |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00    | $12.50   |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20    | $2.50    |
@@ -50,7 +50,6 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
 目前的模型清單包括：

 - **Grok 4.5**
- **GLM-5.3**
 - **GLM-5.2**
 - **GLM-5.1**
 - **GPT 5.6 Luna**
@@ -89,7 +88,6 @@ OpenCode Go 包含以下限制：
 | ----------------- | --------------- | ---------- | ---------- |
 | Grok 4.5          | 120             | 300        | 600        |
 | GPT 5.6 Luna      | 2,050           | 5,100      | 10,250     |
-| GLM-5.3           | 220             | 540        | 1,080      |
 | GLM-5.2           | 880             | 2,150      | 4,300      |
 | GLM-5.1           | 880             | 2,150      | 4,300      |
 | Kimi K3           | 110             | 250        | 490        |
@@ -110,7 +108,7 @@ OpenCode Go 包含以下限制：
 這些預估值是基於觀察到的請求模式：

 - Grok 4.5 — 每次請求 1,100 個輸入 token、71,500 個快取 token、220 個輸出 token
- GLM-5.3/5.2/5.1 — 每次請求 700 個輸入 token、52,000 個快取 token、150 個輸出 token
+- GLM-5.2/5.1 — 每次請求 700 個輸入 token、52,000 個快取 token、150 個輸出 token
 - GPT 5.6 Luna — 每次請求 1,000 個輸入 token、50,000 個快取 token、220 個輸出 token
 - Kimi K3 — 每次請求 1,050 個輸入 token、76,500 個快取 token、300 個輸出 token
 - Kimi K2.7/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
@@ -133,7 +131,6 @@ OpenCode Go 包含以下限制：
 | Grok 4.5                     | $2.00  | $6.00  | $0.30     | -        | $15    |
 | GPT 5.6 Luna (≤ 272K tokens) | $0.20  | $1.20  | $0.02     | $0.25    | $15    |
 | GPT 5.6 Luna (> 272K tokens) | $0.40  | $1.80  | $0.04     | $0.50    | $15    |
-| GLM-5.3                      | $1.40  | $4.40  | $0.26     | -        | $15    |
 | GLM-5.2                      | $1.40  | $4.40  | $0.26     | -        | $60    |
 | GLM-5.1                      | $1.40  | $4.40  | $0.26     | -        | $60    |
 | Kimi K3                      | $3.00  | $15.00 | $0.30     | -        | $15    |
@@ -190,7 +187,6 @@ OpenCode Go 包含以下限制：
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | Grok 4.5          | grok-4.5          | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
 | GPT 5.6 Luna      | gpt-5.6-luna      | `https://opencode.ai/zen/go/v1/responses`        | `@ai-sdk/openai`            |
-| GLM-5.3           | glm-5.3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K3           | kimi-k3           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -229,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
 | ----------------- | -------- | -------- |
 | Grok 4.5          | 不使用   | 30 天    |
 | GPT 5.6 Luna      | 不使用   | 30 天    |
-| GLM-5.3           | 不使用   | 0 天     |
 | GLM-5.2           | 不使用   | 0 天     |
 | GLM-5.1           | 不使用   | 0 天     |
 | Kimi K3           | 不使用   | 0 天     |
@@ -85,7 +85,6 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
 | Claude Sonnet 4.6           | claude-sonnet-4-6           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
-| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
@@ -94,7 +93,6 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
 | Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
-| Muse Spark 1.2              | muse-spark-1.2              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.7 Plus                | qwen3.7-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Qwen3.6 Plus                | qwen3.6-plus                | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,7 +172,6 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (≤ 200K tokens) | $3.00  | $15.00  | $0.30    | $3.75    |
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60    | $7.50    |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10    | $1.25    |
-| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15    | -        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15    | -        |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15    | -        |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03    | -        |
@@ -186,7 +183,6 @@ https://opencode.ai/zen/v1/models
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30    | -        |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60    | -        |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20    | -        |
-| Muse Spark 1.2                    | $1.25  | $4.25   | $0.15    | -        |
 | GPT 5.6 Sol (≤ 272K tokens)       | $5.00  | $30.00  | $0.50    | $6.25    |
 | GPT 5.6 Sol (> 272K tokens)       | $10.00 | $45.00  | $1.00    | $12.50   |
 | GPT 5.6 Terra (≤ 272K tokens)     | $2.00  | $12.00  | $0.20    | $2.50    |