diff --git a/docs/my-website/docs/tutorials/claude_code_any_advisor_model.md b/docs/my-website/docs/tutorials/claude_code_any_advisor_model.md
new file mode 100644
index 00000000000..1588c692dc0
--- /dev/null
+++ b/docs/my-website/docs/tutorials/claude_code_any_advisor_model.md
@@ -0,0 +1,166 @@
+# Claude Code: Any Advisor Model via LiteLLM
+
+This tutorial shows how to use **Claude Code's advisor tool** with **any model/provider** (OpenAI, Gemini, Bedrock, etc.) by routing through LiteLLM.
+
+Claude Code sends advisor tools with a fixed Anthropic model name (for example `claude-opus-4-7`). LiteLLM can remap that to your real advisor model using `model_group_alias`.
+
+<br />
+
+<iframe width="840" height="500" src="https://www.loom.com/embed/db5bc6156c584e0998c7624821bd5272" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
+
+## Prerequisites
+
+- [Claude Code](https://docs.anthropic.com/en/docs/claude-code/overview) installed
+- LiteLLM proxy installed (`uv tool install 'litellm[proxy]'`)
+- API keys for:
+  - your **executor** model (for example Anthropic Sonnet)
+  - your **advisor** model (for example OpenAI `o3`)
+
+## Step 1: Create `config.yaml`
+
+Create a LiteLLM config where:
+
+1. your executor model is configured in `model_list`
+2. your real advisor model is configured in `model_list`
+3. `router_settings.model_group_alias` remaps Claude Code's advisor model name to your real advisor deployment
+
+```yaml showLineNumbers title="config.yaml"
+model_list:
+  # Executor model (the main model Claude Code runs on)
+  - model_name: claude-sonnet
+    litellm_params:
+      model: anthropic/claude-sonnet-4-6
+      api_key: os.environ/ANTHROPIC_API_KEY
+
+  # Real advisor model (can be any provider)
+  - model_name: my-advisor
+    litellm_params:
+      model: openai/o3
+      api_key: os.environ/OPENAI_API_KEY
+
+router_settings:
+  model_group_alias:
+    # Claude Code sends this in advisor_20260301 tool model
+    claude-opus-4-7: my-advisor
+
+litellm_settings:
+  drop_params: true
+```
+
+Set env vars:
+
+```bash
+export ANTHROPIC_API_KEY="your-anthropic-key"
+export OPENAI_API_KEY="your-openai-key"
+export LITELLM_MASTER_KEY="sk-1234"
+```
+
+## Step 2: Start LiteLLM Proxy
+
+```bash showLineNumbers title="Run LiteLLM Proxy"
+litellm --config /path/to/config.yaml
+```
+
+Expected startup endpoint:
+
+```bash
+# RUNNING on http://0.0.0.0:4000
+```
+
+## Step 3: Point Claude Code to LiteLLM
+
+Configure Claude Code to call your LiteLLM proxy:
+
+```bash showLineNumbers title="Claude Code environment variables"
+export ANTHROPIC_BASE_URL="http://0.0.0.0:4000"
+export ANTHROPIC_AUTH_TOKEN="$LITELLM_MASTER_KEY"
+export ANTHROPIC_MODEL="claude-sonnet"
+```
+
+Then launch Claude Code:
+
+```bash
+claude
+```
+
+## Step 4: Call advisor from Claude Code
+
+In Claude Code, ask for an advisor run (for example):
+
+```text
+Can you call advisor as integration test and confirm it works?
+```
+
+Claude Code will send an advisor tool like:
+
+```json
+{
+  "type": "advisor_20260301",
+  "name": "advisor",
+  "model": "claude-opus-4-7"
+}
+```
+
+LiteLLM will remap `claude-opus-4-7` -> `my-advisor` -> `openai/o3` and run the advisor loop.
+
+## Step 5: Verify it is using your advisor model
+
+Check proxy logs for advisor sub-calls:
+
+```bash
+rg "advisor_sub_call|litellm.acompletion\\(|openai/o3|my-advisor" proxy_server.log
+```
+
+You should see:
+
+- the outer `/v1/messages` call on your executor (`claude-sonnet`)
+- advisor sub-call routed to your mapped model (`openai/o3`)
+
+## Internal flow
+
+```mermaid
+sequenceDiagram
+    participant CC as Claude Code
+    participant LL as LiteLLM Proxy
+    participant EX as Executor Model
+    participant AD as Real Advisor Model
+
+    CC->>LL: /v1/messages + advisor_20260301 model=claude-opus-4-7
+    LL->>LL: model_group_alias claude-opus-4-7 -> my-advisor
+    LL->>EX: Executor call
+    EX-->>LL: advisor tool_use
+    LL->>AD: Advisor sub-call (my-advisor)
+    AD-->>LL: advisor result
+    LL->>EX: inject advisor result + continue
+    EX-->>LL: final answer
+    LL-->>CC: final response (client-facing advisor alias unchanged)
+```
+
+## Troubleshooting
+
+### Why is my advisor model not found?
+
+- Ensure alias target (`my-advisor`) exists as a `model_name` in `model_list`
+- Confirm with:
+
+```bash
+curl http://0.0.0.0:4000/v1/models -H "Authorization: Bearer $LITELLM_MASTER_KEY"
+```
+
+### Why do I get `Invalid value: 'thinking'` with a non-Anthropic advisor?
+
+- Upgrade LiteLLM to a version that includes advisor sub-call message translation for non-Anthropic providers
+
+### Why is advisor output blank in streamed UI?
+
+- Upgrade LiteLLM to a version where `advisor_tool_result` includes text in `content_block_start` for fake-stream iterator responses
+
+### Why are spend/log rows missing for streamed advisor calls?
+
+- Upgrade LiteLLM to a version that adds deferred logging support for non-`CustomStreamWrapper` anthropic streams
+
+## Related docs
+
+- [Advisor Tool Reference](/docs/completion/anthropic_advisor_tool)
+- [Use Claude Code with Non-Anthropic Models](/docs/tutorials/claude_non_anthropic_models)
+- [Forward Client Headers](/docs/proxy/forward_client_headers)
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 6b97330d402..ba8c99e1f67 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -147,6 +147,7 @@ const sidebars = {
             "tutorials/claude_code_websearch",
             "tutorials/claude_mcp",
             "tutorials/claude_non_anthropic_models",
+            "tutorials/claude_code_any_advisor_model",
             "tutorials/claude_code_plugin_marketplace",
             "tutorials/claude_code_beta_headers",
           ]