diff --git a/autogpt_platform/backend/backend/api/features/chat/config.py b/autogpt_platform/backend/backend/api/features/chat/config.py
index 0b37e42df8..a9b901a244 100644
--- a/autogpt_platform/backend/backend/api/features/chat/config.py
+++ b/autogpt_platform/backend/backend/api/features/chat/config.py
@@ -93,6 +93,18 @@ class ChatConfig(BaseSettings):
         description="Name of the prompt in Langfuse to fetch",
     )
 
+    # Extended thinking configuration for Claude models
+    thinking_enabled: bool = Field(
+        default=True,
+        description="Enable extended thinking for Claude models",
+    )
+    thinking_budget_tokens: int = Field(
+        default=10000,
+        ge=1000,
+        le=100000,
+        description="Token budget for extended thinking (1000-100000)",
+    )
+
     @field_validator("api_key", mode="before")
     @classmethod
     def get_api_key(cls, v):
diff --git a/autogpt_platform/backend/backend/api/features/chat/service.py b/autogpt_platform/backend/backend/api/features/chat/service.py
index 49e70265fa..ee36bd73df 100644
--- a/autogpt_platform/backend/backend/api/features/chat/service.py
+++ b/autogpt_platform/backend/backend/api/features/chat/service.py
@@ -1066,6 +1066,17 @@ async def _stream_chat_chunks(
                         :128
                     ]  # OpenRouter limit
 
+                # Enable extended thinking for Anthropic models
+                if config.thinking_enabled and "anthropic" in model.lower():
+                    extra_body["provider"] = {
+                        "anthropic": {
+                            "thinking": {
+                                "type": "enabled",
+                                "budget_tokens": config.thinking_budget_tokens,
+                            }
+                        }
+                    }
+
                 api_call_start = time_module.perf_counter()
                 stream = await client.chat.completions.create(
                     model=model,
@@ -1829,6 +1840,17 @@ async def _generate_llm_continuation(
         if session_id:
             extra_body["session_id"] = session_id[:128]
 
+        # Enable extended thinking for Anthropic models
+        if config.thinking_enabled and "anthropic" in config.model.lower():
+            extra_body["provider"] = {
+                "anthropic": {
+                    "thinking": {
+                        "type": "enabled",
+                        "budget_tokens": config.thinking_budget_tokens,
+                    }
+                }
+            }
+
         retry_count = 0
         last_error: Exception | None = None
         response = None
@@ -1959,6 +1981,17 @@ async def _generate_llm_continuation_with_streaming(
         if session_id:
             extra_body["session_id"] = session_id[:128]
 
+        # Enable extended thinking for Anthropic models
+        if config.thinking_enabled and "anthropic" in config.model.lower():
+            extra_body["provider"] = {
+                "anthropic": {
+                    "thinking": {
+                        "type": "enabled",
+                        "budget_tokens": config.thinking_budget_tokens,
+                    }
+                }
+            }
+
         # Make streaming LLM call (no tools - just text response)
         from typing import cast