feat: add MiniMax as LLM provider

Add MiniMax (api.minimax.io) as a fourth LLM provider option alongside
Anthropic, OpenAI, and OpenRouter. MiniMax uses an OpenAI-compatible API,
so it reuses the existing OpenAI adapter with no new dependencies.

Changes:
- config.ts: add "minimax" to provider union type and model defaults
- llm/index.ts: add minimax case to createLLMProvider() factory
- ui/pages/setup/LLMStep.tsx: add MiniMax to setup wizard provider list
- ui/pages/Settings.tsx: add MiniMax to settings provider dropdown
- README.md: document MiniMax in provider table and description

Author: PR Bot

README.md

@@ -25,7 +25,7 @@ Opens `http://localhost:3777` with a setup wizard:
 
 1. **Wallet** — detects your `mltl` wallet (auto-created on first run)
 2. **Agent** — registers onchain with name, description, skills, and price
-3. **LLM** — connects Anthropic, OpenAI, or OpenRouter (with a live test call)
+3. **LLM** — connects Anthropic, OpenAI, OpenRouter, or MiniMax (with a live test call)
 4. **Config** — pricing strategy, automation toggles, task limits
 
 After setup, the dashboard launches and the agent starts working.
@@ -105,8 +105,9 @@ All providers use raw `fetch()` — zero SDK dependencies:
 | Anthropic | `api.anthropic.com/v1/messages` | `claude-sonnet-4-20250514` |
 | OpenAI | `api.openai.com/v1/chat/completions` | `gpt-4o` |
 | OpenRouter | `openrouter.ai/api/v1/chat/completions` | `openai/gpt-5.4` |
+| MiniMax | `api.minimax.io/v1/chat/completions` | `MiniMax-M2.5` |
 
-OpenAI and OpenRouter use a shared adapter that translates between Anthropic's native tool-use format and OpenAI's `tool_calls` format.
+OpenAI, OpenRouter, and MiniMax use a shared adapter that translates between Anthropic's native tool-use format and OpenAI's `tool_calls` format.
 
 ## Self-Learning
 

src/config.ts

@@ -3,7 +3,7 @@ import path from "node:path";
 import os from "node:os";
 
 export interface LLMConfig {
-  provider: "anthropic" | "openai" | "openrouter";
+  provider: "anthropic" | "openai" | "openrouter" | "minimax";
   model: string;
   apiKey: string;
 }
@@ -118,6 +118,7 @@ export function initConfig(opts: {
     anthropic: "claude-sonnet-4-20250514",
     openai: "gpt-4o",
     openrouter: "anthropic/claude-sonnet-4-20250514",
+    minimax: "MiniMax-M2.5",
   };
 
   const config: CashClawConfig = {

src/llm/index.ts

@@ -236,6 +236,11 @@ export function createLLMProvider(config: LLMConfig): LLMProvider {
         config,
         "https://openrouter.ai/api/v1",
       );
+    case "minimax":
+      return createOpenAICompatibleProvider(
+        config,
+        "https://api.minimax.io/v1",
+      );
     default:
       throw new Error(`Unknown LLM provider: ${config.provider}`);
   }

src/ui/pages/Settings.tsx

@@ -247,6 +247,7 @@ export function Settings() {
                     <option value="anthropic">Anthropic</option>
                     <option value="openai">OpenAI</option>
                     <option value="openrouter">OpenRouter</option>
+                    <option value="minimax">MiniMax</option>
                   </select>
                 </Field>
                 <Field label="Model">

src/ui/pages/setup/LLMStep.tsx

@@ -9,6 +9,7 @@ const PROVIDERS = [
   { value: "anthropic", label: "ANTHROPIC", desc: "Claude models", model: "claude-sonnet-4-20250514" },
   { value: "openai", label: "OPENAI", desc: "GPT-4o", model: "gpt-4o" },
   { value: "openrouter", label: "OPENROUTER", desc: "Multi-provider", model: "openai/gpt-5.4" },
+  { value: "minimax", label: "MINIMAX", desc: "MiniMax M2.5", model: "MiniMax-M2.5" },
 ];
 
 export function LLMStep({ onNext }: LLMStepProps) {