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+---
+slug: claude_opus_4_6
+title: "Day 0 Support: Claude Opus 4.6"
+date: 2026-02-05T10:00:00
+authors:
+  - name: Sameer Kankute
+    title: SWE @ LiteLLM (LLM Translation)
+    url: https://www.linkedin.com/in/sameer-kankute/
+    image_url: https://pbs.twimg.com/profile_images/2001352686994907136/ONgNuSk5_400x400.jpg
+  - name: Ishaan Jaff
+    title: "CTO, LiteLLM"
+    url: https://www.linkedin.com/in/reffajnaahsi/
+    image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
+  - name: Krrish Dholakia
+    title: "CEO, LiteLLM"
+    url: https://www.linkedin.com/in/krish-d/
+    image_url: https://pbs.twimg.com/profile_images/1298587542745358340/DZv3Oj-h_400x400.jpg
+description: "Day 0 support for Claude Opus 4.6 on LiteLLM AI Gateway - use across Anthropic, Azure, Vertex AI, and Bedrock."
+tags: [anthropic, claude, opus 4.6]
+hide_table_of_contents: false
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+LiteLLM now supports Claude Opus 4.6 on Day 0. Use it across Anthropic, Azure, Vertex AI, and Bedrock through the LiteLLM AI Gateway.
+
+## Docker Image
+
+```bash
+docker pull ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.80.0-stable.opus-4-6
+```
+
+## Usage - Anthropic
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-6
+    litellm_params:
+      model: anthropic/claude-opus-4-6
+      api_key: os.environ/ANTHROPIC_API_KEY
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.80.0-stable.opus-4-6 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Usage - Azure
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-6
+    litellm_params:
+      model: azure_ai/claude-opus-4-6
+      api_key: os.environ/AZURE_AI_API_KEY
+      api_base: os.environ/AZURE_AI_API_BASE  # https://<resource>.services.ai.azure.com
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e AZURE_AI_API_KEY=$AZURE_AI_API_KEY \
+  -e AZURE_AI_API_BASE=$AZURE_AI_API_BASE \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.80.0-stable.opus-4-6 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Usage - Vertex AI
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-6
+    litellm_params:
+      model: vertex_ai/claude-opus-4-6
+      vertex_project: os.environ/VERTEX_PROJECT
+      vertex_location: us-east5
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e VERTEX_PROJECT=$VERTEX_PROJECT \
+  -e GOOGLE_APPLICATION_CREDENTIALS=/app/credentials.json \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  -v $(pwd)/credentials.json:/app/credentials.json \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.80.0-stable.opus-4-6 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Usage - Bedrock
+
+<Tabs>
+<TabItem value="proxy" label="LiteLLM Proxy">
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+  - model_name: claude-opus-4-6
+    litellm_params:
+      model: bedrock/anthropic.claude-opus-4-6-v1:0
+      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
+      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
+      aws_region_name: us-east-1
+```
+
+**2. Start the proxy**
+
+```bash
+docker run -d \
+  -p 4000:4000 \
+  -e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
+  -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
+  -v $(pwd)/config.yaml:/app/config.yaml \
+  ghcr.io/berriai/litellm:litellm_stable_release_branch-v1.80.0-stable.opus-4-6 \
+  --config /app/config.yaml
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what llm are you"
+    }
+  ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+## Compaction
+
+Litellm supports enabling compaction for the new claude-opus-4-6.
+
+### Enabling Compaction
+
+To enable compaction, add the `context_management` parameter with the `compact_20260112` edit type:
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "What is the weather in San Francisco?"
+    }
+  ],
+  "context_management": {
+    "edits": [
+      {
+        "type": "compact_20260112"
+      }
+    ]
+  },
+  "max_tokens": 100
+}'
+```
+All the parameters supported for context_management by anthropic are supported and can be directly added. Litellm automatically adds the `compact-2026-01-12` beta header in the request.
+
+
+### Response with Compaction Block
+
+The response will include the compaction summary in `provider_specific_fields.compaction_blocks`:
+
+```json
+{
+  "id": "chatcmpl-a6c105a3-4b25-419e-9551-c800633b6cb2",
+  "created": 1770357619,
+  "model": "claude-opus-4-6",
+  "object": "chat.completion",
+  "choices": [
+    {
+      "finish_reason": "length",
+      "index": 0,
+      "message": {
+        "content": "I don't have access to real-time data, so I can't provide the current weather in San Francisco. To get up-to-date weather information, I'd recommend checking:\n\n- **Weather websites** like weather.com, accuweather.com, or wunderground.com\n- **Search engines** – just Google \"San Francisco weather\"\n- **Weather apps** on your phone (e.g., Apple Weather, Google Weather)\n- **National",
+        "role": "assistant",
+        "provider_specific_fields": {
+          "compaction_blocks": [
+            {
+              "type": "compaction",
+              "content": "Summary of the conversation: The user requested help building a web scraper..."
+            }
+          ]
+        }
+      }
+    }
+  ],
+  "usage": {
+    "completion_tokens": 100,
+    "prompt_tokens": 86,
+    "total_tokens": 186
+  }
+}
+```
+
+### Using Compaction Blocks in Follow-up Requests
+
+To continue the conversation with compaction, include the compaction block in the assistant message's `provider_specific_fields`:
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "How can I build a web scraper?"
+    },
+    {
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "Certainly! To build a basic web scraper, you'll typically use a programming language like Python along with libraries such as `requests` (for fetching web pages) and `BeautifulSoup` (for parsing HTML). Here's a basic example:\n\n```python\nimport requests\nfrom bs4 import BeautifulSoup\n\nurl = 'https://example.com'\nresponse = requests.get(url)\nsoup = BeautifulSoup(response.text, 'html.parser')\n\n# Extract and print all text\ntext = soup.get_text()\nprint(text)\n```\n\nLet me know what you're interested in scraping or if you need help with a specific website!"
+        }
+      ],
+      "provider_specific_fields": {
+        "compaction_blocks": [
+          {
+            "type": "compaction",
+            "content": "Summary of the conversation: The user asked how to build a web scraper, and the assistant gave an overview using Python with requests and BeautifulSoup."
+          }
+        ]
+      }
+    },
+    {
+      "role": "user",
+      "content": "How do I use it to scrape product prices?"
+    }
+  ],
+  "context_management": {
+    "edits": [
+      {
+        "type": "compact_20260112"
+      }
+    ]
+  },
+  "max_tokens": 100
+}'
+```
+
+### Streaming Support
+
+Compaction blocks are also supported in streaming mode. You'll receive:
+- `compaction_start` event when a compaction block begins
+- `compaction_delta` events with the compaction content
+- The accumulated `compaction_blocks` in `provider_specific_fields`
+
+
+## Adaptive Thinking
+
+LiteLLM supports adaptive thinking through the `reasoning_effort` parameter:
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Solve this complex problem: What is the optimal strategy for..."
+    }
+  ],
+  "reasoning_effort": "high"
+}'
+```
+
+## Effort Levels
+
+Four effort levels available: `low`, `medium`, `high` (default), and `max`. Pass directly via the `output_config` parameter:
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--header 'Authorization: Bearer $LITELLM_KEY' \
+--data '{
+  "model": "claude-opus-4-6",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Explain quantum computing"
+    }
+  ],
+  "output_config": {
+        "effort": "medium"
+    }
+
+}'
+```
+
+You can use reasoning effort plus output_config to have more control on the model.
+
+## 1M Token Context (Beta)
+
+Opus 4.6 supports 1M token context. Premium pricing applies for prompts exceeding 200k tokens ($10/$37.50 per million input/output tokens). LiteLLM supports cost calculations for 1M token contexts.
+
+## US-Only Inference
+
+Available at 1.1× token pricing. LiteLLM supports this pricing model.
+