diff --git a/docs/my-website/docs/providers/anthropic.md b/docs/my-website/docs/providers/anthropic.md
index 09ed7887816..9e4f6908a46 100644
--- a/docs/my-website/docs/providers/anthropic.md
+++ b/docs/my-website/docs/providers/anthropic.md
@@ -821,6 +821,14 @@ print(f"\nResponse: {resp}")
 
 ## Usage - Thinking / `reasoning_content`
 
+LiteLLM translates OpenAI's `reasoning_effort` to Anthropic's `thinking` parameter. [Code](https://github.com/BerriAI/litellm/blob/23051d89dd3611a81617d84277059cd88b2df511/litellm/llms/anthropic/chat/transformation.py#L298)
+
+| reasoning_effort | thinking |
+| ---------------- | -------- |
+| "low"            | "budget_tokens": 1024 |
+| "medium"         | "budget_tokens": 2048 |
+| "high"           | "budget_tokens": 4096 |
+
 <Tabs>
 <TabItem value="sdk" label="SDK">
 
@@ -830,7 +838,7 @@ from litellm import completion
 resp = completion(
     model="anthropic/claude-3-7-sonnet-20250219",
     messages=[{"role": "user", "content": "What is the capital of France?"}],
-    thinking={"type": "enabled", "budget_tokens": 1024},
+    reasoning_effort="low",
 )
 
 ```
@@ -863,7 +871,7 @@ curl http://0.0.0.0:4000/v1/chat/completions \
   -d '{
     "model": "claude-3-7-sonnet-20250219",
     "messages": [{"role": "user", "content": "What is the capital of France?"}],
-    "thinking": {"type": "enabled", "budget_tokens": 1024}
+    "reasoning_effort": "low"
   }'
 ```
 
@@ -927,6 +935,44 @@ ModelResponse(
 )
 ```
 
+### Pass `thinking` to Anthropic models
+
+You can also pass the `thinking` parameter to Anthropic models.
+
+
+You can also pass the `thinking` parameter to Anthropic models.
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+response = litellm.completion(
+  model="anthropic/claude-3-7-sonnet-20250219",
+  messages=[{"role": "user", "content": "What is the capital of France?"}],
+  thinking={"type": "enabled", "budget_tokens": 1024},
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $LITELLM_KEY" \
+  -d '{
+    "model": "anthropic/claude-3-7-sonnet-20250219",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "thinking": {"type": "enabled", "budget_tokens": 1024}
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+
+
+
 ## **Passing Extra Headers to Anthropic API**
 
 Pass `extra_headers: dict` to `litellm.completion`
diff --git a/docs/my-website/docs/providers/bedrock.md b/docs/my-website/docs/providers/bedrock.md
index bfb60e42c77..2a9c528a655 100644
--- a/docs/my-website/docs/providers/bedrock.md
+++ b/docs/my-website/docs/providers/bedrock.md
@@ -476,7 +476,7 @@ os.environ["AWS_REGION_NAME"] = ""
 resp = completion(
     model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
     messages=[{"role": "user", "content": "What is the capital of France?"}],
-    thinking={"type": "enabled", "budget_tokens": 1024},
+    reasoning_effort="low",
 )
 
 print(resp)
@@ -491,7 +491,7 @@ model_list:
   - model_name: bedrock-claude-3-7
     litellm_params:
       model: bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0
-      thinking: {"type": "enabled", "budget_tokens": 1024} # 👈 EITHER HERE OR ON REQUEST
+      reasoning_effort: "low" # 👈 EITHER HERE OR ON REQUEST
 ```
 
 2. Start proxy 
@@ -509,7 +509,7 @@ curl http://0.0.0.0:4000/v1/chat/completions \
   -d '{
     "model": "bedrock-claude-3-7",
     "messages": [{"role": "user", "content": "What is the capital of France?"}],
-    "thinking": {"type": "enabled", "budget_tokens": 1024} # 👈 EITHER HERE OR ON CONFIG.YAML
+    "reasoning_effort": "low" # 👈 EITHER HERE OR ON CONFIG.YAML
   }'
 ```
 
@@ -558,6 +558,10 @@ Same as [Anthropic API response](../providers/anthropic#usage---thinking--reason
 }
 ```
 
+### Pass `thinking` to Anthropic models
+
+Same as [Anthropic API response](../providers/anthropic#usage---thinking--reasoning_content).
+
 
 ## Usage - Structured Output / JSON mode 
 
diff --git a/docs/my-website/docs/reasoning_content.md b/docs/my-website/docs/reasoning_content.md
index 1cce3f05701..45f7aad0f17 100644
--- a/docs/my-website/docs/reasoning_content.md
+++ b/docs/my-website/docs/reasoning_content.md
@@ -48,7 +48,7 @@ response = completion(
   messages=[
     {"role": "user", "content": "What is the capital of France?"},
   ],
-  thinking={"type": "enabled", "budget_tokens": 1024} # 👈 REQUIRED FOR ANTHROPIC models (on `anthropic/`, `bedrock/`, `vertexai/`)
+  reasoning_effort="low", 
 )
 print(response.choices[0].message.content)
 ```
@@ -68,7 +68,7 @@ curl http://0.0.0.0:4000/v1/chat/completions \
         "content": "What is the capital of France?"
       }
     ],
-    "thinking": {"type": "enabled", "budget_tokens": 1024}
+    "reasoning_effort": "low"
 }'
 ```
 </TabItem>
@@ -150,7 +150,7 @@ response = litellm.completion(
     messages=messages,
     tools=tools,
     tool_choice="auto",  # auto is default, but we'll be explicit
-    thinking={"type": "enabled", "budget_tokens": 1024},
+    reasoning_effort="low",
 )
 print("Response\n", response)
 response_message = response.choices[0].message
@@ -198,9 +198,9 @@ if tool_calls:
         model=model,
         messages=messages,
         seed=22,
+        reasoning_effort="low",
         # tools=tools,
         drop_params=True,
-        thinking={"type": "enabled", "budget_tokens": 1024},
     )  # get a new response from the model where it can see the function response
     print("second response\n", second_response)
 ```
@@ -340,7 +340,7 @@ litellm.drop_params = True # 👈 EITHER GLOBALLY or per request
 response = litellm.completion(
   model="anthropic/claude-3-7-sonnet-20250219",
   messages=[{"role": "user", "content": "What is the capital of France?"}],
-  thinking={"type": "enabled", "budget_tokens": 1024},
+  reasoning_effort="low",
   drop_params=True,
 )
 
@@ -348,7 +348,7 @@ response = litellm.completion(
 response = litellm.completion(
   model="deepseek/deepseek-chat",
   messages=[{"role": "user", "content": "What is the capital of France?"}],
-  thinking={"type": "enabled", "budget_tokens": 1024},
+  reasoning_effort="low",
   drop_params=True,
 )
 ```
@@ -364,3 +364,36 @@ These fields can be accessed via `response.choices[0].message.reasoning_content`
   - `thinking` - str: The thinking from the model.
   - `signature` - str: The signature delta from the model.
 
+
+
+## Pass `thinking` to Anthropic models
+
+You can also pass the `thinking` parameter to Anthropic models.
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+response = litellm.completion(
+  model="anthropic/claude-3-7-sonnet-20250219",
+  messages=[{"role": "user", "content": "What is the capital of France?"}],
+  thinking={"type": "enabled", "budget_tokens": 1024},
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $LITELLM_KEY" \
+  -d '{
+    "model": "anthropic/claude-3-7-sonnet-20250219",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "thinking": {"type": "enabled", "budget_tokens": 1024}
+  }'
+```
+
+</TabItem>
+</Tabs>