refactor: rename "API Keys" settings page to "Models" (#1199)

Rename the provider credentials settings area from "API Keys" to "Models":

- Route: /settings/api-keys -> /settings/models with a permanent redirect
- UI copy: page title, description, and learn-more now use "Models" wording
- i18n: updated display values across all 14 locales (key names unchanged)
- Internal links: sidebar, setup banner, and command palette point to /settings/models
- Docs: "Settings → API Keys" references updated to "Settings → Models"

Co-Authored-By: Claude <noreply@anthropic.com>

Author: AugustoSandim

docs/0-START-HERE/quick-start-cloud.md

@@ -87,7 +87,7 @@ You should see the Open Notebook interface!
 
 ## Step 4: Configure Your AI Provider (1 min)
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential**
 3. Select your provider (e.g., Anthropic, Google, Groq, OpenRouter)
 4. Give it a name, paste your API key
@@ -167,7 +167,7 @@ Your provider's models are now available!
 
 ### "Model not found" Error
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Test Connection** on your credential
 3. If valid, click **Discover Models** → **Register Models**
 4. Check you have credits/access for the model

docs/0-START-HERE/quick-start-external-ollama.md

@@ -109,7 +109,7 @@ Wait 10-15 seconds for services to start.
 
 ## Step 5: Configure Ollama Provider (1 min)
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential**
 3. Select provider: **Ollama**
 4. Give it a name (e.g., "Local Ollama")

docs/0-START-HERE/quick-start-local.md

@@ -272,7 +272,7 @@ docker exec open-notebook-local-ollama-1 ollama pull neural-chat
 1. Download LM Studio: https://lmstudio.ai
 2. Open the app, download a model from the library
 3. Go to "Local Server" tab, start server (port 1234)
-4. In Open Notebook, go to **Settings** → **API Keys**
+4. In Open Notebook, go to **Settings** → **Models**
 5. Click **Add Credential** → Select **OpenAI-Compatible**
 6. Enter base URL: `http://host.docker.internal:1234/v1`
 7. Enter API key: `lm-studio` (placeholder)

docs/0-START-HERE/quick-start-openai.md

@@ -85,7 +85,7 @@ You should see the Open Notebook interface!
 
 ## Step 4: Configure Your OpenAI Provider (1 min)
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential**
 3. Select provider: **OpenAI**
 4. Give it a name (e.g., "My OpenAI Key")
@@ -160,7 +160,7 @@ Then access at `http://localhost:8503`
 
 ### "API key not working"
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Test Connection** on your OpenAI credential
 3. If it fails, verify your key at https://platform.openai.com
 4. Delete the credential and create a new one with the correct key

docs/1-INSTALLATION/docker-compose.md

@@ -126,7 +126,7 @@ You should see the Open Notebook interface!
 
 ## Step 4: Configure AI Provider (2 min)
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential**
 3. Select your provider (e.g., OpenAI, Anthropic, Google)
 4. Give it a name, paste your API key
@@ -193,7 +193,7 @@ docker exec open-notebook-local-ollama-1 ollama pull mistral
 ```
 
 Configure Ollama in the Settings UI:
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential** → Select **Ollama**
 3. Enter base URL: `http://ollama:11434`
 4. Click **Save**, then **Test Connection**
@@ -292,7 +292,7 @@ Then access at `http://localhost:8503`
 
 ### Credential Issues
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Test Connection** on the credential
 3. If it fails, verify key at provider's website
 4. Check you have credits in your account

docs/1-INSTALLATION/single-container.md

@@ -47,7 +47,7 @@ docker compose up -d
 Access: `http://localhost:8502`
 
 Then configure your AI provider:
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential** → Select your provider → Paste API key
 3. Click **Save**, then **Test Connection**
 4. Click **Discover Models** → **Register Models**
@@ -59,14 +59,14 @@ Then configure your AI provider:
 2. Search "Open Notebook"
 3. Set environment variables (at minimum: `OPEN_NOTEBOOK_ENCRYPTION_KEY`)
 4. Click "Deploy"
-5. Open the app → Go to **Settings → API Keys** to configure your AI provider
+5. Open the app → Go to **Settings → Models** to configure your AI provider
 
 **Railway:**
 1. Create new project
 2. Add `lfnovo/open_notebook:v1-latest-single`
 3. Set environment variables (at minimum: `OPEN_NOTEBOOK_ENCRYPTION_KEY`)
 4. Deploy
-5. Open the app → Go to **Settings → API Keys** to configure your AI provider
+5. Open the app → Go to **Settings → Models** to configure your AI provider
 
 **Render:**
 1. Create new Web Service
@@ -104,7 +104,7 @@ Open Notebook ships an EasyPanel template at [`examples/easypanel/`](https://git
 - **One-click (recommended):** once the template is published to the official [EasyPanel template gallery](https://github.com/easypanel-io/templates), create a new service from "Open Notebook", set an app password (or leave it blank to auto-generate one), and deploy.
 - **Manual:** copy `examples/easypanel/` into `templates/open-notebook` in a checkout of [`easypanel-io/templates`](https://github.com/easypanel-io/templates), run the templates playground (`npm run dev`), and create the template from the generated JSON in your EasyPanel instance.
 
-After deployment, open the EasyPanel domain and configure your AI provider in **Settings → API Keys**. See [`examples/easypanel/README.md`](https://github.com/lfnovo/open-notebook/blob/main/examples/easypanel/README.md) for details.
+After deployment, open the EasyPanel domain and configure your AI provider in **Settings → Models**. See [`examples/easypanel/README.md`](https://github.com/lfnovo/open-notebook/blob/main/examples/easypanel/README.md) for details.
 
 ---
 
@@ -120,7 +120,7 @@ After deployment, open the EasyPanel domain and configure your AI provider in **
 | `SURREAL_DATABASE` | DB name | `open_notebook` |
 | `API_URL` | External URL (for remote access) | `https://myapp.example.com` |
 
-AI provider API keys are configured via the **Settings → API Keys** UI after deployment.
+AI provider API keys are configured via the **Settings → Models** UI after deployment.
 
 ---
 
@@ -140,7 +140,7 @@ AI provider API keys are configured via the **Settings → API Keys** UI after d
 
 Same as Docker Compose setup - just access via `http://localhost:8502` (local) or your platform's URL (cloud).
 
-1. Go to **Settings → API Keys** to add your AI provider credential
+1. Go to **Settings → Models** to add your AI provider credential
 2. **Test Connection** and **Discover Models**
 
 See [Docker Compose](docker-compose.md) for full post-install guide.

docs/3-USER-GUIDE/api-configuration.md

@@ -71,11 +71,11 @@ API keys stored in the database are encrypted using Fernet (AES-128-CBC + HMAC-S
 ## Accessing Credential Configuration
 
 1. Click **Settings** in the navigation bar
-2. Select **API Keys** tab
+2. Select **Models** tab
 3. You'll see existing credentials and an **Add Credential** button
 
 ```
-Navigation: Settings → API Keys
+Navigation: Settings → Models
 ```
 
 ---
@@ -118,7 +118,7 @@ Navigation: Settings → API Keys
 
 ### Step 1: Add Credential
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential**
 3. Select your provider
 4. Give it a descriptive name (e.g., "My OpenAI Key", "Work Anthropic")
@@ -257,7 +257,7 @@ Google Cloud's enterprise AI platform:
 
 If you have existing API keys in environment variables (from a previous version):
 
-1. Open **Settings → API Keys**
+1. Open **Settings → Models**
 2. A banner appears: "Environment variables detected"
 3. Click **Migrate to Database**
 4. Keys are copied to the database (encrypted)
@@ -292,7 +292,7 @@ If you're upgrading from an older version that used the ProviderConfig system:
 
 - The migration happens automatically on first startup
 - Your existing configurations are converted to credentials
-- Check **Settings → API Keys** to verify the migration succeeded
+- Check **Settings → Models** to verify the migration succeeded
 - If you see issues, check the API logs for migration messages
 
 ---
@@ -356,7 +356,7 @@ API keys stored in the database are encrypted using Fernet (AES-128-CBC + HMAC-S
 
 ### Provider Shows "Not Configured"
 
-1. Check if a credential exists for this provider (Settings → API Keys)
+1. Check if a credential exists for this provider (Settings → Models)
 2. Test the credential connection
 3. Verify key format matches provider requirements
 4. Re-discover and register models if needed

docs/3-USER-GUIDE/index.md

@@ -136,7 +136,7 @@ Task: "I'm exploring a concept without knowing exact words"
 → Use: Search / Vector Search (semantic similarity)
 
 Task: "I need to add or change my AI provider API keys"
-→ Use: Settings / API Keys (configure providers without editing files)
+→ Use: Settings / Models (configure providers without editing files)
 ```
 
 ---

docs/4-AI-PROVIDERS/index.md

@@ -245,7 +245,7 @@ Any use: Free (electricity only)
 
 1. **You've chosen a provider** (from this comparison guide)
 2. **Follow the setup guide**: [AI Providers Configuration](../5-CONFIGURATION/ai-providers.md)
-3. **Add your credential** in Settings → API Keys
+3. **Add your credential** in Settings → Models
 4. **Test your connection** and discover models
 5. **Start using Open Notebook!**
 

docs/5-CONFIGURATION/advanced.md

@@ -197,7 +197,7 @@ ESPERANTO_SSL_VERIFY=false
 
 ### Use Different Providers for Different Tasks
 
-Configure multiple AI providers via **Settings → API Keys**. Each provider gets its own credential:
+Configure multiple AI providers via **Settings → Models**. Each provider gets its own credential:
 
 1. Add a credential for your main language model provider (e.g., OpenAI, Anthropic)
 2. Add a credential for embeddings (e.g., Voyage AI, or use the same provider)
@@ -208,7 +208,7 @@ Configure multiple AI providers via **Settings → API Keys**. Each provider get
 
 When using OpenAI-Compatible providers, you can configure per-service URLs in a single credential:
 
-1. Go to **Settings** → **API Keys**
+1. Go to **Settings** → **Models**
 2. Click **Add Credential** → Select **OpenAI-Compatible**
 3. Configure separate URLs for LLM, Embedding, TTS, and STT
 4. Click **Save**, then **Test Connection**
@@ -300,7 +300,7 @@ See [Content Processing Engines → Optional engines](../3-USER-GUIDE/content-pr
 OPEN_NOTEBOOK_ENCRYPTION_KEY    # Required for storing credentials
 ```
 
-AI provider API keys are configured via **Settings → API Keys** (not environment variables).
+AI provider API keys are configured via **Settings → Models** (not environment variables).
 
 ### Database
 ```env
@@ -334,7 +334,7 @@ ESPERANTO_LLM_TIMEOUT
 TTS_BATCH_SIZE
 ```
 
-> **Note:** `ELEVENLABS_API_KEY` is deprecated. Configure ElevenLabs via **Settings → API Keys**.
+> **Note:** `ELEVENLABS_API_KEY` is deprecated. Configure ElevenLabs via **Settings → Models**.
 
 ### Debugging
 ```env