diff --git a/apps/supercode-cli/server/package.json b/apps/supercode-cli/server/package.json
index 6a80b34..d1e8c39 100644
--- a/apps/supercode-cli/server/package.json
+++ b/apps/supercode-cli/server/package.json
@@ -1,6 +1,6 @@
 {
   "name": "supercode-cli",
-  "version": "0.1.48",
+  "version": "0.1.49",
   "description": "AI-powered coding agent CLI",
   "main": "dist/main.js",
   "bin": {
diff --git a/apps/supercode-cli/server/src/cli/ai/concentrate-service.ts b/apps/supercode-cli/server/src/cli/ai/concentrate-service.ts
index 10001ca..14197e3 100644
--- a/apps/supercode-cli/server/src/cli/ai/concentrate-service.ts
+++ b/apps/supercode-cli/server/src/cli/ai/concentrate-service.ts
@@ -117,6 +117,7 @@ export class ConcentrateService {
           model: this.model,
           messages: nonSystemMessages,
           system,
+          maxOutputTokens: 8192,
           abortSignal: streamAbortController.signal,
         })
 
@@ -208,6 +209,7 @@ export class ConcentrateService {
         messages: nonSystemMessages,
         system,
         tools,
+        maxOutputTokens: 8192,
         stopWhen: stepCountIs(8),
         abortSignal: streamAbortController.signal,
         prepareStep: async ({ messages }) => {
diff --git a/apps/supercode-cli/server/src/index.ts b/apps/supercode-cli/server/src/index.ts
index 91a1403..2831dc3 100644
--- a/apps/supercode-cli/server/src/index.ts
+++ b/apps/supercode-cli/server/src/index.ts
@@ -13,6 +13,11 @@ import { join } from "path"
 import { writeFileSync, unlinkSync } from "fs"
 import { randomUUID } from "crypto"
 
+function toolParams(fn: any): object {
+  const raw = fn.inputSchema ?? fn.parameters ?? {}
+  return raw && typeof raw === "object" && "_def" in raw ? {} : raw
+}
+
 loadEnvOnce()
 
 const port = process.env.PORT || 10000
@@ -33,7 +38,7 @@ const MODEL_MAX_TOKENS: Record<string, number> = {
   "glm-5.2": 4096,
   "glm-5.1": 4096,
   "minimax-m3": 8192,
-  "anthropic/claude-opus-4-8": 128000,
+  "anthropic/claude-opus-4-8": 8192,
 }
 function getModelMaxTokens(model: string): number {
   const exact = MODEL_MAX_TOKENS[model]
@@ -278,17 +283,10 @@ app.post("/api/ai/chat", async (req, res) => {
           bodyObj.messages = [{ role: "system", content: system }, ...bodyObj.messages]
         }
         if (tools) {
-          bodyObj.tools = Object.entries(tools).map(([name, fn]: [string, any]) => {
-            // AI SDK 6 tools expose their schema as `inputSchema`; fall back
-            // to the legacy `parameters` key for tools that haven't been
-            // wrapped yet. The schema object is already a JSON-Schema-shaped
-            // value (or a Zod schema) — OpenRouter accepts the JSON Schema.
-            const schema = fn.inputSchema ?? fn.parameters ?? {}
-            return {
-              type: "function",
-              function: { name, description: fn.description || "", parameters: schema },
-            }
-          })
+          bodyObj.tools = Object.entries(tools).map(([name, fn]: [string, any]) => ({
+            type: "function",
+            function: { name, description: fn.description || "", parameters: toolParams(fn) },
+          }))
         }
         const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
           method: "POST",
@@ -430,7 +428,7 @@ app.post("/api/ai/chat", async (req, res) => {
         if (tools) {
           bodyObj.tools = Object.entries(tools).map(([name, fn]: [string, any]) => ({
             type: "function",
-            function: { name, description: fn.description || "", parameters: fn.inputSchema ?? fn.parameters ?? {} },
+            function: { name, description: fn.description || "", parameters: toolParams(fn) },
           }))
         }
         const response = await fetch(`${baseUrl}/chat/completions`, {
@@ -538,7 +536,7 @@ app.post("/api/ai/chat", async (req, res) => {
         if (tools) {
           bodyObj.tools = Object.entries(tools).map(([name, fn]: [string, any]) => ({
             type: "function",
-            function: { name, description: fn.description || "", parameters: fn.inputSchema ?? fn.parameters ?? {} },
+            function: { name, description: fn.description || "", parameters: toolParams(fn) },
           }))
         }
         const response = await fetch("https://api.concentrate.ai/v1/chat/completions", {