feat(docs): update AI configurations and usage guide

Update the AI configurations and usage guide in the documentation. The changes cover revising the configuration titles for clarity, modifying the steps for 'Xunfei Xinghuo' setup, restructuring the 'Custom Config' section to include a compatible option with 'OpenAI', and adding formatting examples for 'Request' and 'Response' logic.

Additionally, the features section received updates for the 'AutoCRUD mode' and the addition of a link to a custom action guide. This commit aligns with the Conventional Commits specification, using 'feat' for features and 'docs' for documentation updates.

Author: phodal

docs/usage.md

@@ -12,7 +12,7 @@ permalink: /quick-start
 
 ## Config
 
-### Official OpenAI config
+### OpenAI Official config
 
 1. open AutoDev Config in `Settings` -> `Tools` -> `AutoDev`.
 2. select `AI Engine` -> `OpenAI`, select `Open AI Model` -> `gpt-3.5-turbo`
@@ -27,14 +27,21 @@ permalink: /quick-start
 4. fill `OpenAI API Key` with your Host OpenAI API Key.
 5. Apply and OK.
 
-### Azure Config
+### OpenAI Azure Config
 
 1. open AutoDev Config in `Settings` -> `Tools` -> `AutoDev`.
 2. select `AI Engine` -> `Azure`, select `Open AI Model` -> `gpt-3.5-turbo`
 3. fill `Custom OpenAI Host` with your OpenAI API Endpoint. (with Key in URL)
 4. Apply and OK.
 
-### Custom Config
+### Xunfei Xinghuo
+
+1. open AutoDev Config in `Settings` -> `Tools` -> `AutoDev`.
+2. select `AI Engine` -> `Xinghuo`
+3. fill `AppId`, `AppKey`, `AppSecret` with your Xunfei Xinghuo API Key.
+4. Apply and OK.
+
+### Custom Config / OpenAI compatible
 
 1. open AutoDev Config in `Settings` -> `Tools` -> `AutoDev`.
 2. select `AI Engine` -> `Custom`
@@ -44,71 +51,3 @@ permalink: /quick-start
 6. Apply and OK.
 
 for more, see in [Customize LLM Server](/custom/llm-server)
-
-the request format logic:
-
-```kotlin
-/**
- * request format:
- * {
- *  "messages": [
- *    { "role": "user", "message": "I'm Nihillum." },
- *    { "role": "assistant", "message": "OK" },
- *    { "role": "user", "message": "What did I just say?" }
- *  ]
- *}
- */
-@Serializable
-data class Message(val role: String, val message: String)
-val messages += Message("user", promptText)
-val requestContent = Json.encodeToString<List<Message>>(messages)
-```
-
-The response format logic:
-
-```kotlin
-if (engineFormat.isNotEmpty()) {
-    val chunk: String = JsonPath.parse(sse!!.data)?.read(engineFormat)
-        ?: throw Exception("Failed to parse chunk")
-    trySend(chunk)
-} else {
-    val result: ChatCompletionResult =
-        ObjectMapper().readValue(sse!!.data, ChatCompletionResult::class.java)
-
-    val completion = result.choices[0].message
-    if (completion != null && completion.content != null) {
-        trySend(completion.content)
-    }
-}
-```
-
-## Features
-
-### CodeCompletion mode
-
-You can:
-
-- Right-click on the code editor, select `AutoDev` -> `CodeCompletion` -> `CodeComplete`
-- or use `Alt + Enter` to open `Intention Actions` menu, select `AutoDev` -> `CodeCompletion`
-
-![Code completion](https://unitmesh.cc/auto-dev/completion-mode.png)
-
-### Custom Action
-
-![Code completion](https://unitmesh.cc/auto-dev/custom-action.png)
-
-For more, see [Custom Action](docs/custom-action.md)
-
-### AutoCRUD mode （Only support Java/Kotlin project)
-
-1. add `// devti://story/github/1` comments in your code.
-2. configure GitHub repository for Run Configuration.
-3. click `AutoDev` button in the comments' left.
-
-Run Screenshots:
-
-![AutoDev](https://unitmesh.cc/auto-dev/init-instruction.png)
-
-Output Screenshots:
-
-![AutoDev](https://unitmesh.cc/auto-dev/blog-controller.png)