[opencode-go] Normalize DeepSeek V4 efforts

[google-vertex] Add MaaS reasoning options

models/venice/aion-labs-aion-2-0.toml

@@ -1,17 +0,0 @@
-name = "Aion 2.0"
-family = "o"
-release_date = "2026-03-24"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = false
-temperature = true
-open_weights = false
-
-[limit]
-context = 128000
-output = 32768
-
-[modalities]
-input = ["text"]
-output = ["text"]

models/venice/arcee-trinity-large-thinking.toml

@@ -1,21 +0,0 @@
-name = "Trinity Large Thinking"
-family = "trinity"
-release_date = "2026-04-02"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = true
-structured_output = true
-temperature = true
-open_weights = true
-
-[limit]
-context = 256000
-output = 65536
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/arcee-ai/Trinity-Large-Thinking-FP8-Block"

models/venice/e2ee-gemma-3-27b-p.toml

@@ -1,20 +0,0 @@
-name = "Gemma 3 27B"
-family = "gemma"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 40000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/google/gemma-3-27b-it"

models/venice/e2ee-gemma-4-31b.toml

@@ -1,20 +0,0 @@
-name = "Gemma 4 31B Instruct"
-family = "gemma"
-release_date = "2026-05-20"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 32000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/google/gemma-4-31B-it"

models/venice/e2ee-qwen-2-5-7b-p.toml

@@ -1,20 +0,0 @@
-name = "Qwen 2.5 7B"
-family = "qwen"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 32000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen2.5-7B-Instruct"

models/venice/e2ee-qwen3-30b-a3b-p.toml

@@ -1,20 +0,0 @@
-name = "Qwen3 30B A3B"
-family = "qwen"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = true
-temperature = true
-open_weights = true
-
-[limit]
-context = 256000
-output = 32768
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507"

models/venice/e2ee-qwen3-6-35b-a3b-uncensored-p.toml

@@ -1,17 +0,0 @@
-name = "Qwen3.6 35B A3B Uncensored"
-family = "qwen3.6"
-release_date = "2026-05-24"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = false
-open_weights = false
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]

models/venice/e2ee-qwen3-6-35b-a3b.toml

@@ -1,20 +0,0 @@
-name = "Qwen 3.6 35B A3B FP8"
-family = "qwen"
-release_date = "2026-05-20"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-temperature = true
-tool_call = true
-open_weights = true
-
-[limit]
-context = 32_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3.6-35B-A3B-FP8"

models/venice/e2ee-qwen3-vl-30b-a3b-p.toml

@@ -1,20 +0,0 @@
-name = "Qwen3 VL 30B A3B"
-family = "qwen"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-tool_call = true
-temperature = true
-open_weights = true
-
-[limit]
-context = 128000
-output = 4096
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct"

models/venice/e2ee-venice-uncensored-24b-p.toml

@@ -1,20 +0,0 @@
-name = "Venice Uncensored 1.1"
-family = "venice"
-release_date = "2026-03-18"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-tool_call = false
-temperature = true
-open_weights = true
-
-[limit]
-context = 32000
-output = 4096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition"

models/venice/gemma-4-uncensored.toml

@@ -1,21 +0,0 @@
-name = "Gemma 4 Uncensored"
-family = "gemma"
-release_date = "2026-04-13"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 8_192
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Jiunsong/supergemma4-26b-uncensored-gguf-v2"

models/venice/google-gemma-3-27b-it.toml

@@ -1,22 +0,0 @@
-name = "Google Gemma 3 27B Instruct"
-family = "gemma"
-release_date = "2025-11-04"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 198_000
-output = 16_384
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/google/gemma-3-27b-it"

models/venice/grok-4-20-multi-agent.toml

@@ -1,18 +0,0 @@
-name = "Grok 4.20 Multi-Agent"
-family = "grok"
-release_date = "2026-03-12"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = true
-temperature = true
-tool_call = false
-structured_output = true
-open_weights = false
-
-[limit]
-context = 2_000_000
-output = 128_000
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]

models/venice/hermes-3-llama-3.1-405b.toml

@@ -1,21 +0,0 @@
-name = "Hermes 3 Llama 3.1 405b"
-family = "hermes"
-release_date = "2025-09-25"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = false
-knowledge = "2024-04"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B"

models/venice/llama-3.2-3b.toml

@@ -1,21 +0,0 @@
-name = "Llama 3.2 3B"
-family = "llama"
-release_date = "2024-10-03"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-knowledge = "2023-12"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/meta-llama/Llama-3.2-3B"

models/venice/llama-3.3-70b.toml

@@ -1,21 +0,0 @@
-name = "Llama 3.3 70B"
-family = "llama"
-release_date = "2025-04-06"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-knowledge = "2023-12"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct"

models/venice/mercury-2.toml

@@ -1,18 +0,0 @@
-name = "Mercury 2"
-family = "mercury"
-release_date = "2026-02-20"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = true
-structured_output = true
-temperature = true
-open_weights = false
-
-[limit]
-context = 128000
-output = 50000
-
-[modalities]
-input = ["text"]
-output = ["text"]

models/venice/mistral-small-3-2-24b-instruct.toml

@@ -1,21 +0,0 @@
-name = "Mistral Small 3.2 24B Instruct"
-family = "mistral-small"
-release_date = "2026-01-15"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506"

models/venice/olafangensan-glm-4.7-flash-heretic.toml

@@ -1,21 +0,0 @@
-name = "GLM 4.7 Flash Heretic"
-family = "glm"
-release_date = "2026-02-04"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 200_000
-output = 24_000
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Olafangensan/GLM-4.7-Flash-heretic"

models/venice/openai-gpt-oss-120b.toml

@@ -1,21 +0,0 @@
-name = "OpenAI GPT OSS 120B"
-family = "gpt-oss"
-release_date = "2025-11-06"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-tool_call = true
-temperature = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 128000
-output = 16384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/openai/gpt-oss-120b"

models/venice/qwen3-235b-a22b-instruct-2507.toml

@@ -1,22 +0,0 @@
-name = "Qwen 3 235B A22B Instruct 2507"
-family = "qwen"
-release_date = "2025-04-29"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507-FP8"

models/venice/qwen3-235b-a22b-thinking-2507.toml

@@ -1,22 +0,0 @@
-name = "Qwen 3 235B A22B Thinking 2507"
-family = "qwen"
-release_date = "2025-04-29"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = true
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 128_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8"

models/venice/qwen3-coder-480b-a35b-instruct-turbo.toml

@@ -1,21 +0,0 @@
-name = "Qwen 3 Coder 480B Turbo"
-family = "qwen"
-release_date = "2026-01-27"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 65_536
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo"

models/venice/qwen3-next-80b.toml

@@ -1,22 +0,0 @@
-name = "Qwen 3 Next 80b"
-family = "qwen"
-release_date = "2025-04-29"
-last_updated = "2026-06-10"
-attachment = false
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-knowledge = "2025-07"
-open_weights = true
-
-[limit]
-context = 256_000
-output = 16_384
-
-[modalities]
-input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct"

models/venice/qwen3-vl-235b-a22b.toml

@@ -1,21 +0,0 @@
-name = "Qwen3 VL 235B"
-family = "qwen3.5"
-release_date = "2026-01-16"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 256_000
-output = 16_384
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct"

models/venice/venice-uncensored-1-2.toml

@@ -1,21 +0,0 @@
-name = "Venice Uncensored 1.2"
-family = "venice"
-release_date = "2026-04-01"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 128_000
-output = 8_192
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition"

models/venice/venice-uncensored-role-play.toml

@@ -1,21 +0,0 @@
-name = "Venice Role Play Uncensored"
-family = "venice"
-release_date = "2026-02-20"
-last_updated = "2026-06-10"
-attachment = true
-reasoning = false
-temperature = true
-tool_call = true
-structured_output = true
-open_weights = true
-
-[limit]
-context = 128_000
-output = 4_096
-
-[modalities]
-input = ["text", "image"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/dphnAI/24B-3.2-RP-K2-final"

packages/core/src/sync/index.ts

@@ -51,6 +51,7 @@ export interface SyncProvider<SourceModel> {
   skipCreates?: boolean;
   deleteMissing?: boolean;
   preserveSymlinks?: boolean;
+  preserveBaseModels?: boolean;
   sameModel?(current: ExistingModel, desired: SyncedModel): boolean;
   missingNotice?(paths: string[]): string[];
   sourceID?(model: SourceModel): string;
@@ -118,7 +119,9 @@ export async function syncProvider<SourceModel>(
 ): Promise<SyncResult> {
   console.log(`\nSyncing ${provider.name}...`);
 
-  const { models: existing, brokenSymlinks } = await readExisting(provider.modelsDir);
+  const existingState = await readExisting(provider.modelsDir);
+  const { models: existing, brokenSymlinks } = existingState;
+  let { modelMetadata } = existingState;
   const sourceModels = provider.parseModels(await provider.fetchModels());
   const desired = new Map<string, { model: z.infer<typeof SyncedAuthoredModel>; content: string }>();
   const desiredMetadata = new Map<string, { model: z.infer<typeof ModelMetadata>; content: string }>();
@@ -162,11 +165,28 @@ export async function syncProvider<SourceModel>(
       });
     }
 
+    const translatedModel = provider.preserveBaseModels === false
+      ? translated.model
+      : preserveBaseModel(translated.model, existing.get(relativePath)?.authored);
+    const translatedBase = "base_model" in translatedModel ? translatedModel.base_model : undefined;
+    let resolvedReasoning: boolean | undefined;
+    if (translatedBase !== undefined) {
+      if (translated.metadata?.id === translatedBase) {
+        resolvedReasoning = translated.metadata.model.reasoning;
+      } else {
+        modelMetadata ??= await readModelMetadata(provider.modelsDir);
+        const canonicalReasoning = modelMetadata[translatedBase]?.reasoning;
+        resolvedReasoning = typeof canonicalReasoning === "boolean" ? canonicalReasoning : undefined;
+      }
+    } else {
+      resolvedReasoning = existing.get(relativePath)?.toml.reasoning;
+    }
     const parsed = SyncedAuthoredModel.safeParse(stripUndefined({
       id: translated.id,
       ...preserveReasoningOptions(
-        preserveBaseModel(translated.model, existing.get(relativePath)?.authored),
+        translatedModel,
         existing.get(relativePath)?.authored,
+        resolvedReasoning,
       ),
     }));
     if (!parsed.success) {
@@ -316,7 +336,12 @@ export function preserveBaseModel(model: SyncedModel, existing: ExistingModel |
 export function preserveReasoningOptions(
   model: SyncedModel,
   existing: ExistingModel | undefined,
+  resolvedReasoning: boolean | undefined = existing?.reasoning,
 ): SyncedModel {
+  if ((model.reasoning ?? resolvedReasoning) === false) {
+    const { reasoning_options: _reasoningOptions, ...withoutReasoningOptions } = model;
+    return withoutReasoningOptions as SyncedModel;
+  }
   if (model.reasoning_options !== undefined || existing?.reasoning_options === undefined) return model;
   return {
     ...model,
@@ -389,7 +414,7 @@ async function readExisting(modelsDir: string) {
     existing.set(file, { authored, toml, symlink });
   }
 
-  return { models: existing, brokenSymlinks };
+  return { models: existing, brokenSymlinks, modelMetadata };
 }
 
 async function isSymlink(filePath: string) {

packages/core/src/sync/providers/ovhcloud.ts

@@ -121,6 +121,7 @@ export function buildOvhcloudModel(
     last_updated: lastUpdated,
     attachment,
     reasoning,
+    reasoning_options: reasoning ? existing?.reasoning_options : undefined,
     temperature: temperature || undefined,
     tool_call: toolCall,
     structured_output: structuredOutput || undefined,

packages/core/src/sync/providers/venice.ts

@@ -3,7 +3,7 @@ import path from "node:path";
 import { z } from "zod";
 
 import { ModelFamilyValues } from "../../family.js";
-import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedMetadata, SyncedModel } from "../index.js";
+import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedModel } from "../index.js";
 import { factorBaseModel } from "./openrouter.js";
 
 const API_ENDPOINT = "https://api.venice.ai/api/v1/models?type=text";
@@ -11,6 +11,7 @@ const MODELS_DIR = path.join(import.meta.dirname, "..", "..", "..", "..", "..",
 
 const Capabilities = z.object({
   supportsAudioInput: z.boolean().optional(),
+  supportsE2EE: z.boolean().optional(),
   supportsFunctionCalling: z.boolean().optional(),
   supportsReasoning: z.boolean().optional(),
   supportsReasoningEffort: z.boolean().optional(),
@@ -82,7 +83,7 @@ export const venice = {
   id: "venice",
   name: "Venice",
   modelsDir: "providers/venice/models",
-  metadataNamespace: "venice",
+  preserveBaseModels: false,
   async fetchModels() {
     const headers = process.env.VENICE_API_KEY
       ? { Authorization: `Bearer ${process.env.VENICE_API_KEY}` }
@@ -97,20 +98,14 @@ export const venice = {
     return VeniceResponse.parse(raw).data;
   },
   translateModel(model, context) {
+    if (model.model_spec.capabilities.supportsE2EE === true) return undefined;
     const id = model.id.replaceAll("/", "-");
     const existing = context.existing(id);
-    const resolvedBase = existing?.base_model ?? resolveVeniceBaseModel(model.id, model.model_spec.name);
-    const baseModel = resolvedBase ?? `venice/${id}`;
-    const full = buildVeniceModel(model, existing, null);
-    const metadata = baseModel.startsWith("venice/")
-      ? { id: baseModel, model: buildVeniceMetadata(full, model.model_spec.modelSource) }
-      : undefined;
+    const existingBase = existing?.base_model?.startsWith("venice/") === false ? existing.base_model : undefined;
+    const resolvedBase = existingBase ?? resolveVeniceBaseModel(model.id, model.model_spec.name);
     return {
       id,
-      model: resolvedBase === undefined
-        ? factorNewMetadata(baseModel, full)
-        : buildVeniceModel(model, existing, baseModel),
-      metadata,
+      model: buildVeniceModel(model, existing, resolvedBase ?? null),
     };
   },
 } satisfies SyncProvider<VeniceModel>;
@@ -166,7 +161,7 @@ export function buildVeniceModel(
     reasoning_options: reasoningOptions,
     tool_call: capabilities.supportsFunctionCalling === true,
     structured_output: capabilities.supportsResponseSchema === true ? true : undefined,
-    temperature: true,
+    temperature: undefined,
     cost,
     limit,
     modalities: { input: [...new Set(input)], output: ["text" as const] },
@@ -245,28 +240,6 @@ function inferFamily(id: string, name: string) {
     });
 }
 
-function buildVeniceMetadata(model: SyncedModel, source: string | undefined): SyncedMetadata {
-  if ("base_model" in model) throw new Error("Cannot build Venice metadata from a factored model");
-  const { cost: _cost, reasoning_options: _reasoningOptions, interleaved: _interleaved, status: _status, ...metadata } = model;
-  return {
-    ...metadata,
-    weights: model.open_weights && source?.startsWith("https://huggingface.co/")
-      ? [{ url: source }]
-      : undefined,
-  };
-}
-
-function factorNewMetadata(baseModel: string, model: SyncedModel): SyncedModel {
-  if ("base_model" in model) return model;
-  return {
-    base_model: baseModel,
-    reasoning_options: model.reasoning_options,
-    cost: model.cost,
-    status: model.status,
-    interleaved: model.interleaved,
-  };
-}
-
 function stable(value: unknown): string {
   if (Array.isArray(value)) return `[${value.map(stable).sort().join(",")}]`;
   if (value !== null && typeof value === "object") {

packages/core/test/venice-sync.test.ts

@@ -5,6 +5,7 @@ import path from "node:path";
 import {
   buildVeniceModel,
   resolveVeniceBaseModel,
+  venice,
   VeniceResponse,
   type VeniceModel,
 } from "../src/sync/providers/venice.js";
@@ -61,6 +62,25 @@ test("Venice emits empty reasoning options when efforts are unavailable", () =>
   expect(synced).toMatchObject({ reasoning: true, reasoning_options: [] });
 });
 
+test("Venice does not infer temperature support", () => {
+  const synced = buildVeniceModel(catalogModel, undefined, null, "2026-06-10");
+
+  expect(synced.temperature).toBeUndefined();
+});
+
+test("Venice skips E2EE models", () => {
+  const translated = venice.translateModel({
+    ...catalogModel,
+    id: "e2ee-test-model",
+    model_spec: {
+      ...catalogModel.model_spec,
+      capabilities: { ...catalogModel.model_spec.capabilities, supportsE2EE: true },
+    },
+  }, { existing: () => undefined });
+
+  expect(translated).toBeUndefined();
+});
+
 test("Venice uses boundary-aware family matching", () => {
   const synced = buildVeniceModel({
     ...catalogModel,
@@ -108,6 +128,7 @@ test("Venice maps API fields and keeps inherited models compact", () => {
   expect(synced).not.toHaveProperty("release_date");
   expect(synced).not.toHaveProperty("open_weights");
   expect(synced).not.toHaveProperty("modalities");
+  expect(synced).not.toHaveProperty("temperature");
 });
 
 test("Venice preserves last_updated when authoritative data is unchanged", () => {
@@ -127,7 +148,7 @@ test("Venice rejects malformed responses", () => {
   expect(() => VeniceResponse.parse({ data: [{ id: "broken" }] })).toThrow();
 });
 
-test("all Venice models use metadata inheritance and declare reasoning options", async () => {
+test("Venice models use only canonical metadata and declare reasoning options", async () => {
   const root = path.join(import.meta.dirname, "..", "..", "..");
   const modelsDir = path.join(root, "providers", "venice", "models");
 
@@ -136,8 +157,11 @@ test("all Venice models use metadata inheritance and declare reasoning options",
       base_model?: string;
       reasoning_options?: unknown[];
     };
-    expect(model.base_model, file).toBeDefined();
     expect(model.reasoning_options, file).toBeDefined();
-    expect(await Bun.file(path.join(root, "models", `${model.base_model}.toml`)).exists(), file).toBe(true);
+    if (model.base_model !== undefined) {
+      expect(model.base_model.startsWith("venice/"), file).toBe(false);
+      expect(await Bun.file(path.join(root, "models", `${model.base_model}.toml`)).exists(), file).toBe(true);
+    }
+    expect(file.startsWith("e2ee-"), file).toBe(false);
   }
 });

providers/alibaba-coding-plan/models/qwen3.7-plus.toml

@@ -0,0 +1,7 @@
+base_model = "alibaba/qwen3.7-plus"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0

providers/alibaba-token-plan-cn/models/MiniMax-M2.5.toml

@@ -0,0 +1,15 @@
+base_model = "minimax/MiniMax-M2.5"
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 196_608
+input = 196_601
+output = 24_576

providers/alibaba-token-plan-cn/models/deepseek-v3.2.toml

@@ -1,22 +1,23 @@
 name = "DeepSeek V3.2"
 family = "deepseek"
-release_date = "2025-12-04"
-last_updated = "2026-06-10"
+release_date = "2025-12-03"
+last_updated = "2025-12-05"
 attachment = false
 reasoning = true
-tool_call = true
 structured_output = true
 temperature = true
-knowledge = "2025-10"
+tool_call = true
+knowledge = "2025-01"
 open_weights = true
 
+[cost]
+input = 0
+output = 0
+
 [limit]
-context = 160000
-output = 32768
+context = 131_072
+output = 65_536
 
 [modalities]
 input = ["text"]
-output = ["text"]
-
-[[weights]]
-url = "https://huggingface.co/deepseek-ai/DeepSeek-V3.2"
+output = ["text"]

providers/alibaba-token-plan-cn/models/deepseek-v4-flash.toml

@@ -0,0 +1,9 @@
+base_model = "deepseek/deepseek-v4-flash"
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0

providers/alibaba-token-plan-cn/models/deepseek-v4-pro.toml

@@ -0,0 +1,9 @@
+base_model = "deepseek/deepseek-v4-pro"
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0

providers/alibaba-token-plan-cn/models/glm-5.1.toml

@@ -0,0 +1,14 @@
+base_model = "zhipuai/glm-5.1"
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 202_752
+output = 128_000

providers/alibaba-token-plan-cn/models/glm-5.toml

@@ -0,0 +1,15 @@
+base_model = "zhipuai/glm-5"
+open_weights = false
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+context = 202_752
+output = 16_384

providers/alibaba-token-plan-cn/models/kimi-k2.5.toml

@@ -0,0 +1,17 @@
+base_model = "moonshotai/kimi-k2.5"
+base_model_omit = ["structured_output"]
+family = "kimi"
+attachment = true
+temperature = true
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+output = 32_768

providers/alibaba-token-plan-cn/models/kimi-k2.6.toml

@@ -0,0 +1,15 @@
+base_model = "moonshotai/kimi-k2.6"
+base_model_omit = ["structured_output"]
+family = "kimi"
+
+[interleaved]
+field = "reasoning_content"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0
+
+[limit]
+output = 16_384

providers/alibaba-token-plan-cn/models/qwen-image-2.0-pro.toml

@@ -0,0 +1,21 @@
+name = "Qwen Image 2.0 Pro"
+family = "qwen"
+release_date = "2026-03-03"
+last_updated = "2026-03-03"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = false
+open_weights = false
+
+[cost]
+input = 0
+output = 0
+
+[limit]
+context = 8_192
+output = 0
+
+[modalities]
+input = ["text"]
+output = ["image"]

providers/alibaba-token-plan-cn/models/qwen-image-2.0.toml

@@ -0,0 +1,21 @@
+name = "Qwen Image 2.0"
+family = "qwen"
+release_date = "2026-03-03"
+last_updated = "2026-03-03"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = false
+open_weights = false
+
+[cost]
+input = 0
+output = 0
+
+[limit]
+context = 8_192
+output = 0
+
+[modalities]
+input = ["text"]
+output = ["image"]

providers/alibaba-token-plan-cn/models/qwen3.6-flash.toml

@@ -0,0 +1,7 @@
+base_model = "alibaba/qwen3.6-flash"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0

providers/alibaba-token-plan-cn/models/qwen3.6-plus.toml

@@ -0,0 +1,7 @@
+base_model = "alibaba/qwen3.6-plus"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0

providers/alibaba-token-plan-cn/models/qwen3.7-max.toml

@@ -0,0 +1,7 @@
+base_model = "alibaba/qwen3.7-max"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0

providers/alibaba-token-plan-cn/models/qwen3.7-plus.toml

@@ -0,0 +1,7 @@
+base_model = "alibaba/qwen3.7-plus"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0

providers/alibaba-token-plan-cn/models/wan2.7-image-pro.toml

@@ -0,0 +1,20 @@
+name = "Wan2.7 Image Pro"
+release_date = "2026-05-29"
+last_updated = "2026-05-29"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = false
+open_weights = false
+
+[cost]
+input = 0
+output = 0
+
+[limit]
+context = 8_192
+output = 0
+
+[modalities]
+input = ["text"]
+output = ["image"]

providers/alibaba-token-plan-cn/models/wan2.7-image.toml

@@ -1,17 +1,20 @@
-name = "Gemma 4 26B A4B Uncensored"
-family = "gemma"
-release_date = "2026-05-24"
-last_updated = "2026-06-10"
+name = "Wan2.7 Image"
+release_date = "2026-05-29"
+last_updated = "2026-05-29"
 attachment = false
 reasoning = false
 temperature = true
 tool_call = false
 open_weights = false
 
+[cost]
+input = 0
+output = 0
+
 [limit]
-context = 64_000
-output = 4_096
+context = 8_192
+output = 0
 
 [modalities]
 input = ["text"]
-output = ["text"]
+output = ["image"]

providers/alibaba-token-plan-cn/provider.toml

@@ -0,0 +1,5 @@
+name = "Alibaba Token Plan (China)"
+env = ["ALIBABA_TOKEN_PLAN_API_KEY"]
+npm = "@ai-sdk/openai-compatible"
+doc = "https://www.alibabacloud.com/help/zh/model-studio/token-plan-overview"
+api = "https://token-plan.cn-beijing.maas.aliyuncs.com/compatible-mode/v1"

providers/alibaba-token-plan/models/qwen3.7-plus.toml

@@ -0,0 +1,7 @@
+base_model = "alibaba/qwen3.7-plus"
+
+[cost]
+input = 0
+output = 0
+cache_read = 0
+cache_write = 0

providers/bailing/models/Ring-1T.toml

@@ -4,6 +4,7 @@ release_date = "2025-10"
 last_updated = "2025-10"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 knowledge = "2024-06"
 tool_call = false

providers/cerebras/models/gpt-oss-120b.toml

@@ -1,20 +1,22 @@
 name = "GPT OSS 120B"
 family = "gpt-oss"
 release_date = "2025-08-05"
-last_updated = "2025-08-05"
+last_updated = "2026-06-10"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 temperature = true
 tool_call = true
 open_weights = true
+structured_output = true
 
 [cost]
-input = 0.25
-output = 0.69
+input = 0.35
+output = 0.75
 
 [limit]
 context = 131_072
-output = 32_768
+output = 40_960
 
 [modalities]
 input = ["text"]

providers/cerebras/models/llama3.1-8b.toml

@@ -1,23 +0,0 @@
-name = "Llama 3.1 8B"
-family = "llama"
-release_date = "2025-01-01"
-last_updated = "2026-05-27"
-attachment = false
-reasoning = false
-temperature = true
-knowledge = "2023-12"
-tool_call = true
-open_weights = true
-status = "deprecated"
-
-[cost]
-input = 0.10
-output = 0.10
-
-[limit]
-context = 32_000
-output = 8000
-
-[modalities]
-input = ["text"]
-output = ["text"]

providers/cerebras/models/zai-glm-4.7.toml

@@ -1,11 +1,14 @@
 name = "Z.AI GLM-4.7"
-release_date = "2026-01-10"
-last_updated = "2026-01-10"
+release_date = "2026-01-07"
+last_updated = "2026-06-10"
 attachment = false
-reasoning = false
+reasoning = true
+reasoning_options = [{ type = "effort", values = ["none"] }]
 temperature = true
 tool_call = true
 open_weights = true
+structured_output = true
+status = "beta"
 
 [cost]
 input = 2.25
@@ -15,7 +18,7 @@ cache_write = 0
 
 [limit]
 context = 131_072
-output = 40_000
+output = 40_960
 
 [modalities]
 input = ["text"]

providers/clarifai/models/arcee_ai/AFM/models/trinity-mini.toml

@@ -4,6 +4,7 @@ release_date = "2025-12"
 last_updated = "2026-02-25"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2024-10"

providers/clarifai/models/minimaxai/chat-completion/models/MiniMax-M2_5-high-throughput.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-12"
 last_updated = "2026-02-25"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/clarifai/models/mistralai/completion/models/Ministral-3-14B-Reasoning-2512.toml

@@ -4,6 +4,7 @@ release_date = "2025-12-01"
 last_updated = "2025-12-12"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2025-12"

providers/clarifai/models/mistralai/completion/models/Ministral-3-3B-Reasoning-2512.toml

@@ -4,6 +4,7 @@ release_date = "2025-12"
 last_updated = "2026-02-25"
 attachment = true
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/clarifai/models/moonshotai/chat-completion/models/Kimi-K2_6.toml

@@ -1,4 +1,5 @@
 base_model = "moonshotai/kimi-k2.6"
+reasoning_options = []
 
 [interleaved]
 field = "reasoning_content"

providers/clarifai/models/openai/chat-completion/models/gpt-oss-120b-high-throughput.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-05"
 last_updated = "2026-02-25"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 temperature = true
 tool_call = true
 open_weights = true

providers/clarifai/models/openai/chat-completion/models/gpt-oss-20b.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-05"
 last_updated = "2025-12-12"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 temperature = true
 tool_call = true
 open_weights = true

providers/clarifai/models/qwen/qwenLM/models/Qwen3-30B-A3B-Thinking-2507.toml

@@ -4,6 +4,7 @@ release_date = "2025-07-31"
 last_updated = "2026-02-25"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = true

providers/claudinio/models/claudinio.toml

@@ -3,6 +3,7 @@ release_date = "2026-05-12"
 last_updated = "2026-06-02"
 attachment = true
 reasoning = true
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 tool_call = true
 open_weights = false
 knowledge = "2026-05"

providers/cortecs/models/claude-opus4-8.toml

@@ -0,0 +1,8 @@
+base_model = "anthropic/claude-opus-4-8"
+
+[cost]
+input = 5.64
+output = 28.198
+cache_read = 0.563
+cache_write = 7.049
+

providers/deepseek/models/deepseek-reasoner.toml

@@ -9,6 +9,8 @@ knowledge = "2025-09"
 tool_call = true
 open_weights = true
 
+reasoning_options = []
+
 [interleaved]
 field = "reasoning_content"
 

providers/digitalocean/models/anthropic-claude-fable-5.toml

@@ -1,17 +1,16 @@
-name = "Grok 4.20"
-family = "grok"
-release_date = "2026-03-12"
-last_updated = "2026-06-10"
+name = "Anthropic Claude Fable 5"
+family = "claude-fable"
+release_date = "2026-06-09"
+last_updated = "2026-06-12"
 attachment = true
 reasoning = true
-tool_call = true
-structured_output = true
 temperature = true
+tool_call = true
 open_weights = false
 
 [limit]
-context = 2000000
-output = 128000
+context = 1_000_000
+output = 128_000
 
 [modalities]
 input = ["text", "image"]

providers/digitalocean/models/nemotron-3-ultra-550b.toml

@@ -0,0 +1,17 @@
+name = "Nemotron 3 Ultra"
+family = "nemotron"
+release_date = "2026-06-04"
+last_updated = "2026-06-12"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = false
+
+[limit]
+context = 131_072
+output = 8_192
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/firepass/models/accounts/fireworks/routers/kimi-k2p6-turbo.toml

@@ -8,6 +8,9 @@ temperature = true
 tool_call = true
 open_weights = true
 
+[[reasoning_options]]
+type = "toggle"
+
 [cost]
 input = 0
 output = 0

providers/fireworks-ai/models/accounts/fireworks/models/qwen3p6-plus.toml

@@ -15,6 +15,10 @@ type = "toggle"
 type = "effort"
 values = ["low", "medium", "high"]
 
+[[reasoning_options]]
+type = "budget_tokens"
+min = 1
+
 [cost]
 cache_read = 0.10
 input = 0.50

providers/friendli/models/MiniMaxAI/MiniMax-M2.5.toml

@@ -2,6 +2,7 @@ name = "MiniMax-M2.5"
 family = "minimax"
 attachment = false
 reasoning = true
+reasoning_options = []
 tool_call = true
 structured_output = true
 temperature = true

providers/friendli/models/zai-org/GLM-5.1.toml

@@ -2,6 +2,7 @@ name = "GLM-5.1"
 family = "glm"
 attachment = false
 reasoning = true
+reasoning_options = []
 tool_call = true
 structured_output = true
 temperature = true

providers/friendli/models/zai-org/GLM-5.toml

@@ -2,6 +2,7 @@ name = "GLM-5"
 family = "glm"
 attachment = false
 reasoning = true
+reasoning_options = []
 tool_call = true
 structured_output = true
 temperature = true

providers/github-copilot/models/claude-fable-5.toml

@@ -0,0 +1,11 @@
+base_model = "anthropic/claude-fable-5"
+
+[cost]
+input = 10
+output = 50
+cache_read = 1
+cache_write = 12.5
+
+[limit]
+context = 1_000_000
+output = 128_000

providers/google-vertex/models/deepseek-ai/deepseek-v3.1-maas.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-28"
 last_updated = "2025-08-28"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = true

providers/google-vertex/models/deepseek-ai/deepseek-v3.2-maas.toml

@@ -4,6 +4,7 @@ release_date = "2025-12-17"
 last_updated = "2026-04-04"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = true

providers/google-vertex/models/moonshotai/kimi-k2-thinking-maas.toml

@@ -4,6 +4,7 @@ release_date = "2025-11-13"
 last_updated = "2025-11-13"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = true

providers/google-vertex/models/openai/gpt-oss-120b-maas.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-05"
 last_updated = "2025-08-05"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 temperature = true
 tool_call = true
 open_weights = true

providers/google-vertex/models/openai/gpt-oss-20b-maas.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-05"
 last_updated = "2025-08-05"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
 temperature = true
 tool_call = true
 open_weights = true

providers/google-vertex/models/qwen/qwen3-235b-a22b-instruct-2507-maas.toml

@@ -4,6 +4,7 @@ release_date = "2025-08-13"
 last_updated = "2025-08-13"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = true

providers/google-vertex/models/zai-org/glm-4.7-maas.toml

@@ -4,6 +4,7 @@ release_date = "2026-01-06"
 last_updated = "2026-01-06"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "toggle" }]
 temperature = true
 tool_call = true
 structured_output = true

providers/google-vertex/models/zai-org/glm-5-maas.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-11"
 last_updated = "2026-02-11"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "toggle" }]
 temperature = true
 tool_call = true
 open_weights = true

providers/hpc-ai/models/minimax/minimax-m2.5.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-12"
 last_updated = "2026-06-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 structured_output = false

providers/hpc-ai/models/moonshotai/kimi-k2.5.toml

@@ -4,6 +4,7 @@ release_date = "2026-01-01"
 last_updated = "2026-06-01"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "toggle" }]
 structured_output = true
 temperature = false
 tool_call = true

providers/hpc-ai/models/zai-org/glm-5.1.toml

@@ -4,6 +4,7 @@ release_date = "2026-04-08"
 last_updated = "2026-06-01"
 attachment = false
 reasoning = true
+reasoning_options = [{ type = "toggle" }]
 temperature = true
 tool_call = true
 structured_output = true

providers/iflowcn/models/deepseek-r1.toml

@@ -4,6 +4,7 @@ release_date = "2025-01-20"
 last_updated = "2025-01-20"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 knowledge = "2024-12"
 tool_call = true

providers/iflowcn/models/glm-4.6.toml

@@ -4,6 +4,7 @@ release_date = "2024-12-01"
 last_updated = "2025-11-13"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 knowledge = "2024-10"
 tool_call = true

providers/iflowcn/models/qwen3-235b-a22b-thinking-2507.toml

@@ -4,6 +4,7 @@ release_date = "2025-07-01"
 last_updated = "2025-07-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 knowledge = "2025-04"
 tool_call = true

providers/iflowcn/models/qwen3-235b.toml

@@ -4,6 +4,7 @@ release_date = "2024-12-01"
 last_updated = "2024-12-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 knowledge = "2024-10"
 tool_call = true

providers/io-net/models/Qwen/Qwen3-235B-A22B-Thinking-2507.toml

@@ -4,6 +4,7 @@ release_date = "2025-07-01"
 last_updated = "2025-07-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2024-12"

providers/io-net/models/deepseek-ai/DeepSeek-R1-0528.toml

@@ -4,6 +4,7 @@ release_date = "2025-01-20"
 last_updated = "2025-05-28"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2024-07"

providers/io-net/models/moonshotai/Kimi-K2-Thinking.toml

@@ -4,6 +4,7 @@ release_date = "2024-11-01"
 last_updated = "2024-11-01"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 knowledge = "2024-08"

providers/kimi-for-coding/models/kimi-k2-thinking.toml

@@ -4,6 +4,7 @@ release_date = "2025-11"
 last_updated = "2025-12"
 attachment = false
 reasoning = true
+reasoning_options = []
 structured_output = true
 temperature = true
 tool_call = true

providers/kuae-cloud-coding-plan/models/GLM-4.7.toml

@@ -9,6 +9,9 @@ tool_call = true
 knowledge = "2025-04"
 open_weights = true
 
+[[reasoning_options]]
+type = "toggle"
+
 [interleaved]
 field = "reasoning_content"
 

providers/llmtr/models/qwen3-6-35b.toml

@@ -1,4 +1,5 @@
 base_model = "alibaba/qwen3.6-35b-a3b"
+reasoning_options = [{ type = "toggle" }]
 
 [cost]
 input = 5.0

providers/minimax-cn/models/MiniMax-M2.1.toml

@@ -4,6 +4,7 @@ release_date = "2025-12-23"
 last_updated = "2025-12-23"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/minimax-cn/models/MiniMax-M2.5-highspeed.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-13"
 last_updated = "2026-02-13"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/minimax-cn/models/MiniMax-M2.5.toml

@@ -4,6 +4,7 @@ release_date = "2026-02-12"
 last_updated = "2026-02-12"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/minimax-cn/models/MiniMax-M2.7-highspeed.toml

@@ -4,6 +4,7 @@ release_date = "2026-03-18"
 last_updated = "2026-03-18"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/minimax-cn/models/MiniMax-M2.7.toml

@@ -4,6 +4,7 @@ release_date = "2026-03-18"
 last_updated = "2026-03-18"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 open_weights = true

providers/minimax-cn/models/MiniMax-M2.toml

@@ -4,6 +4,7 @@ release_date = "2025-10-27"
 last_updated = "2025-10-27"
 attachment = false
 reasoning = true
+reasoning_options = []
 temperature = true
 tool_call = true
 # knowledge = "2025-04" # Not listed on model page.