feat(ai): add Z.AI GLM-5.3

packages/ai/changes.md

@@ -1,5 +1,35 @@
 # changes.md — ai
 
+## Add GLM-5.3 to the Z.AI Coding Plan catalog (2026-08-15)
+
+### What changed
+
+- `scripts/generate-models.ts`: added reviewed `glm-5.3` fallback metadata that live `models.dev` values can override, including the official 1M-token context, 128K-token output limit, and low/high/max reasoning-effort mapping.
+- `src/providers/data/{zai,zai-coding-cn}.json`: regenerated the committed Z.AI snapshots and added `glm-5.3` to the global and China Coding Plan catalogs.
+- `test/openai-completions-tool-choice.test.ts`: covers the generated catalog values and the exact `reasoning_effort` payload mapping.
+
+### Why
+
+- Z.AI released GLM-5.3 to every Coding Plan tier before adding it to `models.dev`; without a stable fallback, strict generation omits a model that the provider endpoint already serves.
+- Z.AI documents the general GLM-5.3 API as coming soon. Coding Plan therefore retains zero metered cost metadata rather than borrowing unannounced API pricing.
+
+### Why this cannot be expressed as an extension
+
+- Built-in model IDs, provider request metadata, and their generated TypeScript types are fixed before coding-agent extensions load.
+
+### Modified upstream files
+
+- `scripts/generate-models.ts`
+- `src/providers/data/.manifest.json`
+- `src/providers/data/zai.json`
+- `src/providers/data/zai-coding-cn.json`
+- `test/openai-completions-tool-choice.test.ts`
+
+### Expected merge conflict zones
+
+- MEDIUM: the Z.AI branch in `loadModelsDevData()` when `models.dev` begins publishing GLM-5.3.
+- MEDIUM: generated Z.AI provider JSON whenever its live catalog changes.
+
 ## Follow Groq Qwen catalog replacement during generation (2026-08-04)
 
 ### What changed
@@ -153,7 +183,6 @@
   an import + re-export. If upstream edits those predicates, port the edit into
   `src/utils/prompt-cache-ttl.ts` so the resolver and the adapters stay in agreement.
 
-
 ## Cover Claude Opus 5 in Anthropic adaptive-thinking metadata (2026-07-25)
 
 ### What changed
@@ -164,7 +193,7 @@
   `mapThinkingLevelToEffort` maps Opus 5 `xhigh`/`max` to native efforts instead of collapsing them to `high`.
 - `src/providers/data/*.json`: regenerated so every provider that serves Opus 5 (anthropic, github-copilot,
   opencode, vercel-ai-gateway, openrouter, amazon-bedrock) carries `forceAdaptiveThinking`, `supportsTemperature:
-  false`, and the `xhigh`/`max` thinking level map.
+false`, and the `xhigh`/`max` thinking level map.
 
 ### Why
 

packages/ai/scripts/generate-models.ts

@@ -240,13 +240,33 @@ const NVIDIA_NIM_UNSUPPORTED_MODELS = new Set([
 	"upstage/solar-10.7b-instruct",
 ]);
 const ZAI_TOOL_STREAM_UNSUPPORTED_MODELS = new Set(["glm-4.5", "glm-4.5-air", "glm-4.5-flash", "glm-4.5v"]);
+const ZAI_CODING_STABLE_MODELS = {
+	"glm-5.3": {
+		id: "glm-5.3",
+		name: "GLM-5.3",
+		tool_call: true,
+		reasoning: true,
+		reasoning_options: [{ type: "effort", values: ["low", "high", "max"] }],
+		limit: { context: 1_000_000, output: 131_072 },
+		modalities: { input: ["text"] },
+	},
+} satisfies Record<string, ModelsDevModel>;
 const ZAI_GLM52_THINKING_LEVEL_MAP = {
 	minimal: null,
 	low: "high",
 	medium: "high",
 	high: "high",
 	max: "max",
 } as const;
+const ZAI_GLM53_THINKING_LEVEL_MAP = {
+	off: "low",
+	minimal: "low",
+	low: "low",
+	medium: "high",
+	high: "high",
+	xhigh: "max",
+	max: "max",
+} as const;
 const OPENCODE_GO_GLM52_THINKING_LEVEL_MAP = {
 	off: null,
 	minimal: null,
@@ -1715,13 +1735,23 @@ async function loadModelsDevData(): Promise<Model<any>[]> {
 		] as const;
 
 		if (data["zai-coding-plan"]?.models) {
+			const liveZaiModels = data["zai-coding-plan"].models as Record<string, ModelsDevModel>;
+			const zaiModels: Record<string, ModelsDevModel> = {
+				...ZAI_CODING_STABLE_MODELS,
+				...liveZaiModels,
+			};
 			for (const { provider, baseUrl } of zaiCodingPlanVariants) {
-				for (const [modelId, model] of Object.entries(data["zai-coding-plan"].models)) {
+				for (const [modelId, model] of Object.entries(zaiModels)) {
 					const m = model as ModelsDevModel;
 					if (m.tool_call !== true) continue;
 					const supportsImage = m.modalities?.input?.includes("image");
 
-					const isGlm52 = modelId === "glm-5.2";
+					const thinkingLevelMap =
+						modelId === "glm-5.2"
+							? ZAI_GLM52_THINKING_LEVEL_MAP
+							: modelId === "glm-5.3"
+								? ZAI_GLM53_THINKING_LEVEL_MAP
+								: undefined;
 
 					models.push({
 						id: modelId,
@@ -1730,7 +1760,7 @@ async function loadModelsDevData(): Promise<Model<any>[]> {
 						provider,
 						baseUrl,
 						reasoning: m.reasoning === true,
-						...(isGlm52 ? { thinkingLevelMap: ZAI_GLM52_THINKING_LEVEL_MAP } : {}),
+						...(thinkingLevelMap ? { thinkingLevelMap } : {}),
 						input: supportsImage ? ["text", "image"] : ["text"],
 						cost: {
 							input: m.cost?.input || 0,
@@ -1741,7 +1771,7 @@ async function loadModelsDevData(): Promise<Model<any>[]> {
 						compat: {
 							supportsDeveloperRole: false,
 							thinkingFormat: "zai",
-							...(isGlm52 ? { supportsReasoningEffort: true } : {}),
+							...(thinkingLevelMap ? { supportsReasoningEffort: true } : {}),
 							...(!ZAI_TOOL_STREAM_UNSUPPORTED_MODELS.has(modelId) ? { zaiToolStream: true } : {}),
 						},
 						contextWindow: m.limit?.context || 4096,

packages/ai/src/providers/data/.manifest.json

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packages/ai/src/providers/data/zai-coding-cn.json

@@ -1 +1 @@
-{"openai-completions":{"glm-4.7":{"id":"glm-4.7","name":"GLM-4.7","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":204800,"maxTokens":131072},"glm-5-turbo":{"id":"glm-5-turbo","name":"GLM-5-Turbo","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":200000,"maxTokens":131072},"glm-5.2":{"id":"glm-5.2","name":"GLM-5.2","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"thinkingLevelMap":{"minimal":null,"low":"high","medium":"high","high":"high","max":"max"},"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":true,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":1000000,"maxTokens":131072},"glm-5.2-highspeed":{"id":"glm-5.2-highspeed","name":"GLM-5.2 Highspeed","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":1000000,"maxTokens":131072}}}
+{"openai-completions":{"glm-4.7":{"id":"glm-4.7","name":"GLM-4.7","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":204800,"maxTokens":131072},"glm-5-turbo":{"id":"glm-5-turbo","name":"GLM-5-Turbo","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":200000,"maxTokens":131072},"glm-5.2":{"id":"glm-5.2","name":"GLM-5.2","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"thinkingLevelMap":{"minimal":null,"low":"high","medium":"high","high":"high","max":"max"},"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":true,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":1000000,"maxTokens":131072},"glm-5.2-highspeed":{"id":"glm-5.2-highspeed","name":"GLM-5.2 Highspeed","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":1000000,"maxTokens":131072},"glm-5.3":{"id":"glm-5.3","name":"GLM-5.3","api":"openai-completions","provider":"zai-coding-cn","baseUrl":"https://open.bigmodel.cn/api/coding/paas/v4","reasoning":true,"thinkingLevelMap":{"off":"low","minimal":"low","low":"low","medium":"high","high":"high","xhigh":"max","max":"max"},"input":["text"],"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0},"compat":{"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":true,"maxTokensField":"max_tokens","thinkingFormat":"zai","zaiToolStream":true},"contextWindow":1000000,"maxTokens":131072}}}