feat(sse): add GLM-5.3 models and effort tiers

changelog.d/features/10896-glm-5.3.md

@@ -0,0 +1 @@
+- **feat(sse):** add GLM-5.3 support (`glm-5.3`, `glm-5.3-high`, `glm-5.3-low`) across the z.ai first-party providers, mapping the upstream `reasoning_effort` request parameter to the existing 5.2 tier UX ([#10896](https://github.com/diegosouzapw/OmniRoute/pull/10896)) — thanks @phuongddx

open-sse/config/glmProvider.ts

@@ -18,6 +18,35 @@ export const GLM_ANTHROPIC_DEFAULT_BASE_URLS = Object.freeze({
 });
 
 export const GLM_SHARED_MODELS = Object.freeze([
+  {
+    // GLM-5.3 (2026-08-14): one upstream id; effort is the reasoning_effort
+    // param (low|high|max, default max) — the -high/-low entries below are
+    // OmniRoute aliases resolved by GlmExecutor::parseGlmEffortTier.
+    // Default context window not yet published by Z.ai; 1M mirrored from
+    // GLM-5.2 (same base model). https://z.ai/blog/glm-5.3
+    id: "glm-5.3",
+    name: "GLM 5.3",
+    contextLength: 1000000,
+    maxOutputTokens: 131072,
+    toolCalling: true,
+    supportsReasoning: true,
+  },
+  {
+    id: "glm-5.3-high",
+    name: "GLM 5.3 High",
+    contextLength: 1000000,
+    maxOutputTokens: 131072,
+    toolCalling: true,
+    supportsReasoning: true,
+  },
+  {
+    id: "glm-5.3-low",
+    name: "GLM 5.3 Low",
+    contextLength: 1000000,
+    maxOutputTokens: 131072,
+    toolCalling: true,
+    supportsReasoning: true,
+  },
   {
     id: "glm-5.2",
     name: "GLM 5.2",

open-sse/config/providers/registry/zai/index.ts

@@ -11,13 +11,15 @@ export const zaiProvider: RegistryEntry = {
   authType: "apikey",
   authHeader: "x-api-key",
   headers: getAnthropicCompatHeaders(),
-  // Real upstream model IDs only. The effort tiers (glm-5.2-high / glm-5.2-max)
-  // are intentionally NOT listed here: they are OmniRoute aliases resolved by the
-  // GlmExecutor (parseGlm52Effort → base "glm-5.2" + effort field). This provider
-  // uses the DefaultExecutor, which sends the model ID verbatim, so the aliases
-  // would reach z.ai's Anthropic endpoint as unknown IDs. Use the `glm` provider
-  // for effort tiers. Vision models are likewise omitted (handled elsewhere).
+  // Real upstream model IDs only. The effort tiers (glm-5.2-high/-max,
+  // glm-5.3-high/-low) are intentionally NOT listed here: they are OmniRoute
+  // aliases resolved by the GlmExecutor (parseGlmEffortTier → base model +
+  // effort selector). This provider uses the DefaultExecutor, which sends the
+  // model ID verbatim, so the aliases would reach z.ai's Anthropic endpoint as
+  // unknown IDs. Use the `glm` provider for effort tiers. Vision models are
+  // likewise omitted (handled elsewhere).
   models: [
+    { id: "glm-5.3", name: "GLM 5.3" },
     { id: "glm-5.2", name: "GLM 5.2" },
     { id: "glm-5.1", name: "GLM 5.1" },
     { id: "glm-5", name: "GLM 5" },

open-sse/executors/glm.ts

@@ -52,17 +52,41 @@ function getEffectiveKey(credentials: ProviderCredentials): string {
   return credentials.apiKey || credentials.accessToken || "";
 }
 
+export type GlmEffortLevel = "low" | "high" | "max";
+
+type GlmEffortTier = {
+  baseModel: string;
+  effort: GlmEffortLevel;
+  /** Transport where the upstream honors the effort selector for this family. */
+  transport: GlmTransport;
+};
+
 /**
- * GLM-5.2 effort tiers route exclusively through the Anthropic transport,
- * where Zhipu maps Claude Code effort selectors (high/max) to reasoning
- * intensity. The base model ID sent upstream is always "glm-5.2".
+ * GLM-5.2 effort tiers (glm-5.2-high/-max) route exclusively through the
+ * Anthropic transport, where Zhipu maps Claude Code effort selectors (high/max)
+ * to reasoning intensity. The base model ID sent upstream is always "glm-5.2".
+ *
+ * GLM-5.3 replaced tier endpoints with a documented `reasoning_effort` request
+ * parameter (low|high|max, default max) on the coding chat/completions endpoint,
+ * so its tiers stay on the OpenAI transport and inject `reasoning_effort` +
+ * `thinking.type=enabled` (5.3 no longer accepts thinking disabled).
  *
  * https://docs.z.ai/devpack/latest-model
+ * https://z.ai/blog/glm-5.3
  */
-function parseGlm52Effort(model: string): { baseModel: string; effort: "high" | "max" } | null {
-  if (model === "glm-5.2-high") return { baseModel: "glm-5.2", effort: "high" };
-  if (model === "glm-5.2-max") return { baseModel: "glm-5.2", effort: "max" };
-  return null;
+function parseGlmEffortTier(model: string): GlmEffortTier | null {
+  switch (model) {
+    case "glm-5.2-high":
+      return { baseModel: "glm-5.2", effort: "high", transport: "anthropic" };
+    case "glm-5.2-max":
+      return { baseModel: "glm-5.2", effort: "max", transport: "anthropic" };
+    case "glm-5.3-high":
+      return { baseModel: "glm-5.3", effort: "high", transport: "openai" };
+    case "glm-5.3-low":
+      return { baseModel: "glm-5.3", effort: "low", transport: "openai" };
+    default:
+      return null;
+  }
 }
 
 /**
@@ -278,7 +302,7 @@ export class GlmExecutor extends DefaultExecutor {
     credentials: ProviderCredentials,
     transport: GlmTransport
   ) {
-    const effortTier = parseGlm52Effort(model);
+    const effortTier = parseGlmEffortTier(model);
     const effectiveModel = effortTier ? effortTier.baseModel : model;
 
     const transformed = this.transformRequest(effectiveModel, body, stream, credentials);
@@ -313,6 +337,14 @@ export class GlmExecutor extends DefaultExecutor {
     }
 
     if (transport === "openai") {
+      // GLM-5.3 effort tiers: inject the documented `reasoning_effort` param and
+      // force thinking on — 5.3 rejects thinking.type "disabled", and an effort
+      // tier without thinking would silently drop the selector upstream.
+      if (record && effortTier && effortTier.transport === "openai") {
+        const existingThinking = asRecord(record.thinking);
+        record.thinking = { ...existingThinking, type: "enabled" };
+        record.reasoning_effort = effortTier.effort;
+      }
       if (record && stream && hasTools(record) && record.tool_stream === undefined) {
         return { ...record, tool_stream: true };
       }
@@ -446,7 +478,12 @@ export class GlmExecutor extends DefaultExecutor {
    */
   private async finalizeAnthropicTransportResult(
     input: ExecuteInput,
-    result: { response: Response; url: string; headers: Record<string, string>; transformedBody: unknown }
+    result: {
+      response: Response;
+      url: string;
+      headers: Record<string, string>;
+      transformedBody: unknown;
+    }
   ): Promise<GlmExecuteResult> {
     const { response: rawResponse, url, headers, transformedBody } = result;
     const clientHeaders = input.clientHeaders ?? {};
@@ -475,13 +512,14 @@ export class GlmExecutor extends DefaultExecutor {
   }
 
   async execute(input: ExecuteInput): Promise<GlmExecuteResult> {
-    const effortTier = parseGlm52Effort(input.model);
+    const effortTier = parseGlmEffortTier(input.model);
 
-    // GLM-5.2 effort tiers route directly through Anthropic transport (no fallback).
-    // Zhipu only graduates effort on the Anthropic endpoint via the
-    // effort-2025-11-24 beta header included in GLM_ANTHROPIC_BETA.
+    // Effort tiers route directly through their family's transport (no fallback):
+    // GLM-5.2 → Anthropic (Zhipu only graduates effort there, via the
+    // effort-2025-11-24 beta header in GLM_ANTHROPIC_BETA); GLM-5.3 → OpenAI
+    // coding endpoint (`reasoning_effort` param). See parseGlmEffortTier.
     if (effortTier) {
-      return this.executeTransport(input, "anthropic");
+      return this.executeTransport(input, effortTier.transport);
     }
 
     const primaryTransport = getGlmTransport(

src/shared/constants/modelSpecs.ts

@@ -66,7 +66,14 @@ const BEDROCK_CLAUDE_ALIASES = (...modelIds: string[]) => [
 // Provider discovery/sync sources can under-report GLM-5.2 IDs as 128K.
 // Keep native/bare Z.AI GLM-5.2 context authoritative, but do not blindly apply
 // it to every provider-wrapped alias: hosted providers can and do cap lower.
-const AUTHORITATIVE_CONTEXT_WINDOW_MODEL_IDS = new Set(["glm-5.2", "glm-5.2-high", "glm-5.2-max"]);
+const AUTHORITATIVE_CONTEXT_WINDOW_MODEL_IDS = new Set([
+  "glm-5.3",
+  "glm-5.3-high",
+  "glm-5.3-low",
+  "glm-5.2",
+  "glm-5.2-high",
+  "glm-5.2-max",
+]);
 const AUTHORITATIVE_PROVIDER_CONTEXT_WINDOWS = new Map<string, number>([
   ["cloudflare-ai/@cf/zai-org/glm-5.2", 262144],
   // Hugging Face Router has 1M-capable backends, but bare routing can select
@@ -567,6 +574,30 @@ export const MODEL_SPECS: Record<string, ModelSpec> = {
     supportsTools: true,
   },
 
+  // ── Z.AI GLM-5.3 (1M context mirrored from 5.2 — same base model; 128K max
+  // output; effort via reasoning_effort param, tiers are OmniRoute aliases) ──
+  "glm-5.3": {
+    maxOutputTokens: 131072,
+    contextWindow: 1000000,
+    thinkingBudgetCap: 38912,
+    supportsThinking: true,
+    supportsTools: true,
+  },
+  "glm-5.3-high": {
+    maxOutputTokens: 131072,
+    contextWindow: 1000000,
+    thinkingBudgetCap: 38912,
+    supportsThinking: true,
+    supportsTools: true,
+  },
+  "glm-5.3-low": {
+    maxOutputTokens: 131072,
+    contextWindow: 1000000,
+    thinkingBudgetCap: 38912,
+    supportsThinking: true,
+    supportsTools: true,
+  },
+
   // ── Z.AI GLM-5.2 (1M context, 128K max output, effort tiers) ────
   "glm-5.2": {
     maxOutputTokens: 131072,

src/shared/constants/pricing/shared-tiers.ts

@@ -111,6 +111,30 @@ export const CLAUDE_SONNET_5_PRICING = {
 };
 
 export const GLM_PRICING = {
+  // GLM-5.3 (2026-08-14): Z.ai hasn't published 5.3 rates yet — mirrored from
+  // GLM-5.2 (same base model; 5.1 and 5.2 also share identical rates).
+  // Correct when https://docs.z.ai/guides/overview/pricing lists glm-5.3.
+  "glm-5.3": {
+    input: 1.2,
+    output: 5,
+    cached: 0.3,
+    reasoning: 5,
+    cache_creation: 1.2,
+  },
+  "glm-5.3-high": {
+    input: 1.2,
+    output: 5,
+    cached: 0.3,
+    reasoning: 5,
+    cache_creation: 1.2,
+  },
+  "glm-5.3-low": {
+    input: 1.2,
+    output: 5,
+    cached: 0.3,
+    reasoning: 5,
+    cache_creation: 1.2,
+  },
   "glm-5.2": {
     input: 1.2,
     output: 5,