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+---
+title: Helicone
+description: Example configuration for Helicone AI Gateway
+---
+
+# [Helicone](https://www.helicone.ai/)
+
+> Helicone API key: [https://us.helicone.ai/settings/api-keys](https://us.helicone.ai/settings/api-keys)
+
+**Notes:**
+
+- **Known:** icon provided, fetching list of models is recommended as Helicone provides access to 100+ AI models from multiple providers.
+
+- Helicone is an AI Gateway Provider that enables access to models from OpenAI, Anthropic, Google, Meta, Mistral, and other providers with built-in observability and monitoring.
+
+- **Key Features:**
+  - 🚀 Access to 100+ AI models through a single gateway
+  - 📊 Built-in observability and monitoring
+  - 🔄 Multi-provider support
+  - ⚡ Request logging and analytics in Helicone dashboard
+
+- **Important Considerations:**
+  - Make sure your Helicone account has credits so you can access the models.
+  - You can find all supported models in the [Helicone Model Library](https://helicone.ai/models).
+  - You can set your own rate limits and caching policies within the Helicone dashboard.
+
+```yaml
+    - name: "Helicone"
+      # For `apiKey` and `baseURL`, you can use environment variables that you define.
+      # recommended environment variables:
+      apiKey: "${HELICONE_KEY}"
+      baseURL: "https://ai-gateway.helicone.ai"
+      headers:
+        x-librechat-body-parentmessageid: "{{LIBRECHAT_BODY_PARENTMESSAGEID}}"
+      models:
+        default: ["gpt-4o-mini", "claude-4.5-sonnet", "llama-3.1-8b-instruct", "gemini-2.5-flash-lite"]
+        fetch: true
+      titleConvo: true
+      titleModel: "gpt-4o-mini"
+      modelDisplayLabel: "Helicone"
+      iconURL: "https://marketing-assets-helicone.s3.us-west-2.amazonaws.com/helicone.png"
+```
+
+**Configuration Details:**
+
+- **apiKey:** Use the `HELICONE_KEY` environment variable to store your Helicone API key.
+- **baseURL:** The Helicone AI Gateway endpoint: `https://ai-gateway.helicone.ai`
+- **headers:** The `x-librechat-body-parentmessageid` header is essential for message tracking and conversation continuity
+- **models:** Sets default models, however by enabling `fetch`, you will automatically retrieve all available models from Helicone's API.
+- **fetch:** Set to `true` to automatically retrieve available models from Helicone's API
+
+**Setup Steps:**
+1. Sign up for a Helicone account at [helicone.ai](https://helicone.ai/)
+2. Generate your API key from the [Helicone dashboard](https://us.helicone.ai/settings/api-keys)
+3. Set the `HELICONE_KEY` environment variable in your `.env` file
+4. Copy the example configuration to your `librechat.yaml` file
+5. Rebuild your Docker containers if using Docker deployment
+6. Restart LibreChat to load the new configuration
+7. Test by selecting Helicone from the provider dropdown
+8. Head over to the [Helicone dashboard](https://us.helicone.ai/dashboard) to review your usage and settings.
+
+**Potential Issues:**
+
+- **Model Access:** Verify that you have credits within Helicone so you can access the models.
+- **Rate Limiting:** You can set your own rate limits and caching policies within the Helicone dashboard.
+- **Environment Variables:** Double-check that `HELICONE_KEY` is properly set and accessible to your LibreChat instance
+
+**Testing:**
+1. After configuration, select Helicone from the provider dropdown
+2. Verify that models appear in the model selection
+3. Send a test message and confirm it appears in your Helicone dashboard
+4. Check that conversation threading works correctly with the parent message ID header