docs: add Engy OpenAI-compatible provider guide

Document Engy as an OpenAI-compatible Inference API using the existing
openai provider and apiBase, and list it alongside other compatible
providers.

Author: crabbytt

docs/customize/model-providers/more/engy.mdx

@@ -0,0 +1,57 @@
+---
+title: "How to Configure Engy with Continue"
+sidebarTitle: "Engy"
+---
+
+<Info>
+  Get an API key from [Engy](https://engy.ai/).
+</Info>
+
+[Engy](https://engy.ai/) is an OpenAI-compatible Inference API with zero data retention by default. Use Continue's existing OpenAI provider with `apiBase: https://api.engy.ai/v1`. See the [Engy docs](https://engy.ai/docs) for API details.
+
+## Configuration
+
+<Tabs>
+  <Tab title="YAML">
+  ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
+  models:
+    - name: Kimi K3
+      provider: openai
+      model: kimi-k3
+      apiBase: https://api.engy.ai/v1
+      apiKey: <YOUR_ENGY_API_KEY>
+      roles: [chat, edit, apply]
+  ```
+  </Tab>
+  <Tab title="JSON (Deprecated)">
+  ```json title="config.json"
+  {
+    "models": [
+      {
+        "title": "Kimi K3",
+        "provider": "openai",
+        "model": "kimi-k3",
+        "apiBase": "https://api.engy.ai/v1",
+        "apiKey": "<YOUR_ENGY_API_KEY>",
+        "roles": ["chat", "edit", "apply"]
+      }
+    ]
+  }
+  ```
+  </Tab>
+</Tabs>
+
+## Available Models
+
+The live model catalog and pricing are at [`https://api.engy.ai/v1/models`](https://api.engy.ai/v1/models). Flagship model ids:
+
+| Model | Description |
+| :---- | :---------- |
+| `kimi-k3` | Flagship Kimi K3. 1M context window. |
+| `glm-5.3` | Flagship GLM 5.3. 328K context window. |
+| `glm-5.3-flash` | Fast GLM 5.3. 328K context window. |
+| `deepseek-v4.1-flash-1017` | Fast DeepSeek V4.1. 1M context window. |

docs/customize/model-providers/overview.mdx

@@ -35,6 +35,7 @@ Beyond the top-level providers, Continue supports many other options:
 | [DeepInfra](/customize/model-providers/more/deepinfra)                 | Hosting for various open source models                     |
 | [OpenRouter](/customize/model-providers/top-level/openrouter)          | Gateway to multiple model providers                        |
 | [ClawRouter](/customize/model-providers/more/clawrouter)               | Open-source LLM router with automatic cost-optimized model selection |
+| [Engy](/customize/model-providers/more/engy)                           | OpenAI-compatible inference API with zero data retention by default |
 | [Tetrate Agent Router Service](/customize/model-providers/top-level/tetrate_agent_router_service) | Gateway with intelligent routing across multiple model providers |
 | [Cohere](/customize/model-providers/more/cohere)                       | Models specialized for semantic search and text generation |
 | [NVIDIA](/customize/model-providers/more/nvidia)                       | GPU-accelerated model hosting                              |

docs/customize/model-providers/top-level/openai.mdx

@@ -61,6 +61,7 @@ OpenAI API compatible providers include
 - [vLLM](https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html)
 - [BerriAI/litellm](https://github.com/BerriAI/litellm)
 - [Tetrate Agent Router Service](https://router.tetrate.ai)
+- [Engy](https://engy.ai/)
 
 If you are using an OpenAI API compatible providers, you can change the `apiBase` like this:
 

docs/docs.json

@@ -109,6 +109,7 @@
                       "customize/model-providers/more/clawrouter",
                       "customize/model-providers/more/deepseek",
                       "customize/model-providers/more/deepinfra",
+                      "customize/model-providers/more/engy",
                       "customize/model-providers/more/groq",
                       "customize/model-providers/more/llamacpp",
                       "customize/model-providers/more/llamastack",