Add MiniMax provider support (#656 by @dannote)

- Add minimax to KnownProvider and Api types
- Add MINIMAX_API_KEY to getEnvApiKey()
- Generate MiniMax-M2 and MiniMax-M2.1 models
- Add context overflow detection pattern
- Add tests to all required test files
- Update README and CHANGELOG with attribution

Also fixes:
- Bedrock duplicate toolResult ID when content has multiple blocks
- Sandbox extension unused parameter lint warning

packages/ai/src/models.generated.ts

@@ -2686,6 +2686,42 @@ export const MODELS = {
 			maxTokens: 16384,
 		} satisfies Model<"openai-completions">,
 	},
+	"minimax": {
+		"MiniMax-M2": {
+			id: "MiniMax-M2",
+			name: "MiniMax-M2",
+			api: "anthropic-messages",
+			provider: "minimax",
+			baseUrl: "https://api.minimax.io/anthropic",
+			reasoning: true,
+			input: ["text"],
+			cost: {
+				input: 0.3,
+				output: 1.2,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 196608,
+			maxTokens: 128000,
+		} satisfies Model<"anthropic-messages">,
+		"MiniMax-M2.1": {
+			id: "MiniMax-M2.1",
+			name: "MiniMax-M2.1",
+			api: "anthropic-messages",
+			provider: "minimax",
+			baseUrl: "https://api.minimax.io/anthropic",
+			reasoning: true,
+			input: ["text"],
+			cost: {
+				input: 0.3,
+				output: 1.2,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 204800,
+			maxTokens: 131072,
+		} satisfies Model<"anthropic-messages">,
+	},
 	"mistral": {
 		"codestral-latest": {
 			id: "codestral-latest",
@@ -4529,7 +4565,7 @@ export const MODELS = {
 				cacheWrite: 18.75,
 			},
 			contextWindow: 200000,
-			maxTokens: 4096,
+			maxTokens: 32000,
 		} satisfies Model<"openai-completions">,
 		"anthropic/claude-opus-4.5": {
 			id: "anthropic/claude-opus-4.5",

packages/ai/src/providers/amazon-bedrock.ts

@@ -378,38 +378,34 @@ function convertMessages(context: Context, model: Model<"bedrock-converse-stream
 				// Bedrock requires all tool results to be in one message
 				const toolResults: ContentBlock.ToolResultMember[] = [];
 
-				// Add current tool result
-				for (const c of m.content) {
-					toolResults.push({
-						toolResult: {
-							toolUseId: m.toolCallId,
-							content: [
-								c.type === "image"
-									? { image: createImageBlock(c.mimeType, c.data) }
-									: { text: sanitizeSurrogates(c.text) },
-							],
-							status: m.isError ? ToolResultStatus.ERROR : ToolResultStatus.SUCCESS,
-						},
-					});
-				}
+				// Add current tool result with all content blocks combined
+				toolResults.push({
+					toolResult: {
+						toolUseId: m.toolCallId,
+						content: m.content.map((c) =>
+							c.type === "image"
+								? { image: createImageBlock(c.mimeType, c.data) }
+								: { text: sanitizeSurrogates(c.text) },
+						),
+						status: m.isError ? ToolResultStatus.ERROR : ToolResultStatus.SUCCESS,
+					},
+				});
 
 				// Look ahead for consecutive toolResult messages
 				let j = i + 1;
 				while (j < messages.length && messages[j].role === "toolResult") {
 					const nextMsg = messages[j] as ToolResultMessage;
-					for (const c of nextMsg.content) {
-						toolResults.push({
-							toolResult: {
-								toolUseId: nextMsg.toolCallId,
-								content: [
-									c.type === "image"
-										? { image: createImageBlock(c.mimeType, c.data) }
-										: { text: sanitizeSurrogates(c.text) },
-								],
-								status: nextMsg.isError ? ToolResultStatus.ERROR : ToolResultStatus.SUCCESS,
-							},
-						});
-					}
+					toolResults.push({
+						toolResult: {
+							toolUseId: nextMsg.toolCallId,
+							content: nextMsg.content.map((c) =>
+								c.type === "image"
+									? { image: createImageBlock(c.mimeType, c.data) }
+									: { text: sanitizeSurrogates(c.text) },
+							),
+							status: nextMsg.isError ? ToolResultStatus.ERROR : ToolResultStatus.SUCCESS,
+						},
+					});
 					j++;
 				}
 

packages/ai/src/stream.ts

@@ -98,6 +98,7 @@ export function getEnvApiKey(provider: any): string | undefined {
 		openrouter: "OPENROUTER_API_KEY",
 		zai: "ZAI_API_KEY",
 		mistral: "MISTRAL_API_KEY",
+		minimax: "MINIMAX_API_KEY",
 		opencode: "OPENCODE_API_KEY",
 	};
 

packages/ai/src/types.ts

@@ -58,6 +58,7 @@ export type KnownProvider =
 	| "openrouter"
 	| "zai"
 	| "mistral"
+	| "minimax"
 	| "opencode";
 export type Provider = KnownProvider | string;
 

packages/ai/src/utils/overflow.ts

@@ -17,6 +17,7 @@ import type { AssistantMessage } from "../types.js";
  * - llama.cpp: "the request exceeds the available context size, try increasing it"
  * - LM Studio: "tokens to keep from the initial prompt is greater than the context length"
  * - GitHub Copilot: "prompt token count of X exceeds the limit of Y"
+ * - MiniMax: "invalid params, context window exceeds limit"
  * - Cerebras: Returns "400 status code (no body)" - handled separately below
  * - Mistral: Returns "400 status code (no body)" - handled separately below
  * - z.ai: Does NOT error, accepts overflow silently - handled via usage.input > contextWindow
@@ -33,6 +34,7 @@ const OVERFLOW_PATTERNS = [
 	/exceeds the limit of \d+/i, // GitHub Copilot
 	/exceeds the available context size/i, // llama.cpp server
 	/greater than the context length/i, // LM Studio
+	/context window exceeds limit/i, // MiniMax
 	/context[_ ]length[_ ]exceeded/i, // Generic fallback
 	/too many tokens/i, // Generic fallback
 	/token limit exceeded/i, // Generic fallback