feat: add re-authorize flow, fix inline credential submission, update docs

Add "Re-authorize" button (key icon) on LLM Credentials page for
device-code providers (GitHub Copilot, ChatGPT) so expired tokens can be
refreshed without deleting and recreating the credential.

Fix inline credential submission on Add Model page by adding a hidden
Form.Item for api_key — Ant Design requires a rendered form item to
include values in submission. Also reset device code state on any
provider change, not just when leaving device-code mode.

Update ChatGPT docs with full proxy credential flow (UI + API curl
steps), SDK setup command, and litellm_credential_name in config
examples. Add re-authorization note to both provider docs.

Fix button spacing in credentials table with flex gap.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

docs/my-website/docs/providers/chatgpt.md

@@ -1,3 +1,6 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
 # ChatGPT Subscription
 
 Use ChatGPT Pro/Max subscription models through LiteLLM with OAuth device flow authentication.
@@ -17,14 +20,27 @@ Notes:
 
 ## Authentication
 
-ChatGPT subscription access uses an OAuth device code flow:
+ChatGPT subscription access uses an OAuth Device Code flow. LiteLLM supports two authentication modes:
 
-1. LiteLLM prints a device code and verification URL
-2. Open the URL, sign in, and enter the code
-3. Tokens are stored locally for reuse
+- **LiteLLM Proxy**: Use named credentials created via the credential API or UI. The interactive device flow is handled by the proxy on your behalf — credentials are stored and reused automatically.
+- **Python SDK**: Credentials are stored locally in `~/.config/litellm/chatgpt/auth.json` on disk (file-based, for backward compatibility).
+
+:::info
+
+If you hit a ChatGPT model without a configured credential (proxy) or auth file (SDK), LiteLLM returns an `AuthenticationError`.
+
+:::
 
 ## Usage - LiteLLM Python SDK
 
+### Setup (first time)
+
+Authenticate once by running the login command. This stores your refresh token in `~/.config/litellm/chatgpt/auth.json` for future use.
+
+```bash showLineNumbers title="Authenticate via device flow (SDK only)"
+litellm --login chatgpt
+```
+
 ### Responses (recommended for Codex models)
 
 ```python showLineNumbers title="ChatGPT Responses"
@@ -53,6 +69,8 @@ print(response)
 
 ## Usage - LiteLLM Proxy
 
+The proxy requires a named credential. See [Credential-Based Authentication](#credential-based-authentication-proxy) below.
+
 ```yaml showLineNumbers title="config.yaml"
 model_list:
   - model_name: chatgpt/gpt-5.4
@@ -60,37 +78,151 @@ model_list:
       mode: responses
     litellm_params:
       model: chatgpt/gpt-5.4
+      litellm_credential_name: my-chatgpt   # named credential (required for proxy)
   - model_name: chatgpt/gpt-5.4-pro
     model_info:
       mode: responses
     litellm_params:
       model: chatgpt/gpt-5.4-pro
+      litellm_credential_name: my-chatgpt
   - model_name: chatgpt/gpt-5.3-codex
     model_info:
       mode: responses
     litellm_params:
       model: chatgpt/gpt-5.3-codex
-  - model_name: chatgpt/gpt-5.3-codex-spark
-    model_info:
-      mode: responses
-    litellm_params:
-      model: chatgpt/gpt-5.3-codex-spark
-  - model_name: chatgpt/gpt-5.3-instant
-    model_info:
-      mode: responses
-    litellm_params:
-      model: chatgpt/gpt-5.3-instant
-  - model_name: chatgpt/gpt-5.3-chat-latest
-    model_info:
-      mode: responses
-    litellm_params:
-      model: chatgpt/gpt-5.3-chat-latest
+      litellm_credential_name: my-chatgpt
 ```
 
 ```bash showLineNumbers title="Start LiteLLM Proxy"
 litellm --config config.yaml
 ```
 
+<Tabs>
+<TabItem value="openai-sdk" label="OpenAI SDK">
+
+```python showLineNumbers title="ChatGPT via Proxy - OpenAI SDK"
+from openai import OpenAI
+
+client = OpenAI(
+    base_url="http://localhost:4000",
+    api_key="your-proxy-api-key"
+)
+
+response = client.chat.completions.create(
+    model="chatgpt/gpt-5.4",
+    messages=[{"role": "user", "content": "Write a Python hello world"}]
+)
+
+print(response.choices[0].message.content)
+```
+
+</TabItem>
+
+<TabItem value="curl" label="cURL">
+
+```bash showLineNumbers title="ChatGPT via Proxy - cURL"
+curl http://localhost:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer your-proxy-api-key" \
+  -d '{
+    "model": "chatgpt/gpt-5.4",
+    "messages": [{"role": "user", "content": "Write a Python hello world"}]
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+## Credential-Based Authentication (Proxy)
+
+The LiteLLM Proxy uses a stateless OAuth Device Code flow. Nothing is stored in the database until the tokens are successfully obtained — the client holds the `device_auth_id` and `user_code` between API calls.
+
+You can complete the flow via the **LiteLLM UI** (LLM Credentials → Add Credential → ChatGPT) or with the curl steps below.
+
+### Step 1: Initiate the Device Code Flow
+
+```bash showLineNumbers title="Start ChatGPT OAuth"
+curl -X POST http://localhost:4000/credentials/chatgpt/initiate \
+  -H "Authorization: Bearer your-proxy-api-key"
+```
+
+Response:
+
+```json
+{
+  "device_auth_id": "xxx",
+  "user_code": "ABCD-1234",
+  "verification_uri": "https://auth0.openai.com/activate",
+  "poll_interval_ms": 5000
+}
+```
+
+### Step 2: Authorize on OpenAI
+
+Visit the `verification_uri` and enter the `user_code` to authorize LiteLLM.
+
+### Step 3: Poll for Completion
+
+Poll the status endpoint until the flow completes. Use `device_auth_id` and `user_code` from step 1.
+
+```bash showLineNumbers title="Check authorization status"
+curl -X POST http://localhost:4000/credentials/chatgpt/status \
+  -H "Authorization: Bearer your-proxy-api-key" \
+  -H "Content-Type: application/json" \
+  -d '{"device_auth_id": "xxx", "user_code": "ABCD-1234"}'
+```
+
+Possible responses:
+
+```json title="Still waiting for user"
+{"status": "pending"}
+```
+
+```json title="User authorized successfully"
+{"status": "complete", "refresh_token": "xxx", "account_id": "user-xxx"}
+```
+
+```json title="Flow expired or denied"
+{"status": "failed", "error": "Token exchange failed: HTTP 400"}
+```
+
+### Step 4: Store as a Named Credential
+
+Once you have the `refresh_token`, store it as a named credential:
+
+```bash showLineNumbers title="Save credential"
+curl -X POST http://localhost:4000/credentials \
+  -H "Authorization: Bearer your-proxy-api-key" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "credential_name": "my-chatgpt",
+    "credential_values": {"api_key": "xxx"},
+    "credential_info": {"custom_llm_provider": "chatgpt"}
+  }'
+```
+
+:::note
+The `api_key` field stores the OpenAI refresh token. LiteLLM automatically exchanges it for short-lived access tokens on each request.
+:::
+
+### Step 5: Attach Credential to a Model
+
+Reference the credential in your config (or via the UI under Models → Add Model → Existing Credentials):
+
+```yaml showLineNumbers title="config.yaml"
+model_list:
+  - model_name: chatgpt-codex
+    model_info:
+      mode: responses
+    litellm_params:
+      model: chatgpt/gpt-5.3-codex
+      litellm_credential_name: my-chatgpt
+```
+
+### Re-authorization
+
+If a credential stops working (e.g. the refresh token is revoked), use the **Re-authorize** button (key icon) on the LLM Credentials page to redo the device code flow and update the stored token.
+
 ## Configuration
 
 ### Environment Variables

docs/my-website/docs/providers/github_copilot.md

@@ -276,6 +276,10 @@ model_list:
       litellm_credential_name: my-copilot
 ```
 
+### Re-authorization
+
+GitHub access tokens can expire or be revoked. If a credential stops working, use the **Re-authorize** button (key icon) on the LLM Credentials page to redo the device code flow and update the stored token.
+
 ### Multiple Accounts
 
 Create multiple credentials with different names to support different GitHub accounts:

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-0:{"buildId":"aKKihXXKRJWLQThZgi8Rq","tree":{"name":"","paramType":null,"paramKey":"","hasRuntimePrefetch":false,"slots":{"children":{"name":"__PAGE__","paramType":null,"paramKey":"__PAGE__","hasRuntimePrefetch":false,"slots":null,"isRootLayout":false}},"isRootLayout":true},"staleTime":300}
+0:{"buildId":"YLJiKrj1j4BCxwnVzpvzs","tree":{"name":"","paramType":null,"paramKey":"","hasRuntimePrefetch":false,"slots":{"children":{"name":"__PAGE__","paramType":null,"paramKey":"__PAGE__","hasRuntimePrefetch":false,"slots":null,"isRootLayout":false}},"isRootLayout":true},"staleTime":300}

litellm/proxy/_experimental/out/_next/static/8xyPuFMRlIWgv0WGxbzIJ/_buildManifest.js

@@ -0,0 +1,16 @@
+self.__BUILD_MANIFEST = {
+  "__rewrites": {
+    "afterFiles": [],
+    "beforeFiles": [
+      {
+        "source": "/litellm-asset-prefix/_next/:path+",
+        "destination": "/_next/:path+"
+      }
+    ],
+    "fallback": []
+  },
+  "sortedPages": [
+    "/_app",
+    "/_error"
+  ]
+};self.__BUILD_MANIFEST_CB && self.__BUILD_MANIFEST_CB()

litellm/proxy/_experimental/out/_next/static/8xyPuFMRlIWgv0WGxbzIJ/_clientMiddlewareManifest.json

@@ -0,0 +1 @@
+[]

litellm/proxy/_experimental/out/_next/static/8xyPuFMRlIWgv0WGxbzIJ/_ssgManifest.js

@@ -0,0 +1 @@
+self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB()

litellm/proxy/_experimental/out/_next/static/YLJiKrj1j4BCxwnVzpvzs/_buildManifest.js

@@ -0,0 +1,16 @@
+self.__BUILD_MANIFEST = {
+  "__rewrites": {
+    "afterFiles": [],
+    "beforeFiles": [
+      {
+        "source": "/litellm-asset-prefix/_next/:path+",
+        "destination": "/_next/:path+"
+      }
+    ],
+    "fallback": []
+  },
+  "sortedPages": [
+    "/_app",
+    "/_error"
+  ]
+};self.__BUILD_MANIFEST_CB && self.__BUILD_MANIFEST_CB()

litellm/proxy/_experimental/out/_next/static/YLJiKrj1j4BCxwnVzpvzs/_clientMiddlewareManifest.json

@@ -0,0 +1 @@
+[]

litellm/proxy/_experimental/out/_next/static/YLJiKrj1j4BCxwnVzpvzs/_ssgManifest.js

@@ -0,0 +1 @@
+self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB()