Fix links

Signed-off-by: Michael Yuan <michael@secondstate.io>

Author: juntao

doc/docs/config/gemini-live.md

@@ -4,9 +4,9 @@ sidebar_position: 5
 
 # Configure an End-to-End Pipeline for EchoKit
 
-In addition to the classic [ASR-LLM-TTS pipeline](./configure-echokit-server.md), EchoKit supports real-time models that can reduce latency. However, this approach has several limitations:
+EchoKit supports real-time models that can reduce latency. However, this approach has several limitations:
 
-* **High API costs** – OpenAI's real-time API can cost up to $25 per 100 tokens
+* **High API costs** – Real-time API can cost up to $25 per million tokens
 * **No voice customization** – You cannot modify the generated voice
 * **Limited knowledge integration** – External knowledge bases cannot be added to the model
 * **No MCP support** – Model Control Protocol is not supported in most cases
@@ -36,7 +36,7 @@ Google's Gemini is one of the most advanced models supporting voice-to-voice int
 Here's the complete configuration file for Gemini:
 
 ```toml
-addr = "0.0.0.0:9090"
+addr = "0.0.0.0:8080"
 hello_wav = "hello.wav"
 
 [gemini]
@@ -49,16 +49,6 @@ You are a helpful assistant. Please answer user questions as concisely as possib
 """
 ```
 
-### Starting the Server
-
-After editing the configuration file, restart the EchoKit server to apply the changes.
-
-Since you're using a different `config.toml` file in a custom path, your restart command should look like this:
-
-```bash
-./target/release/echokit_server ./examples/gemini/chat/config.toml
-```
-
 ## Gemini + TTS (Custom Voice)
 
 While real-time models typically don't allow voice customization, EchoKit enables you to customize the voice even when using Gemini!
@@ -68,7 +58,7 @@ While real-time models typically don't allow voice customization, EchoKit enable
 Simply add TTS-related parameters to your `config.toml` file:
 
 ```toml
-addr = "0.0.0.0:9090"
+addr = "0.0.0.0:8080"
 hello_wav = "hello.wav"
 
 [gemini]
@@ -86,4 +76,4 @@ You are a helpful assistant. Please answer user questions as concisely as possib
 """
 ```
 
-With these TTS settings configured, you can now use your preferred custom voice.
+With these TTS settings configured, you can now use your preferred custom voice.

doc/docs/config/intro.md

@@ -10,7 +10,7 @@ It generally takes two approaches.
 * The pipeline approach. It divides up the task into multiple steps, and use a different AI service to process each step.
   * The [ASR service](asr.md) turns the user input voice audio into text.
   * The [LLM service](llm.md) generates a text response to the user input. The LLM could be aided by [built-in tools, such as web searches](llm-tools.md) and [custom tools in MCP servers](mcp.md].
-  * The [TTS service](ttd.md) converts the response text to voice.
+  * The [TTS service](tts.md) converts the response text to voice.
 * The end-to-end real-time model approach. It utilizes multimodal models that could directly ingest voice input and generate voice output, such as [Google Gemini Live](gemini-live.md).
 
 The pipeline approach offers greater flexibility and customization - you can choose any voice, control costs by mixing different providers, integrate external knowledge, and run components locally for privacy. While end-to-end models can reduce the latency, the classic pipeline gives you full control over each component.

doc/docs/config/mcp.md

@@ -55,7 +55,7 @@ call_mcp_message = "It seems that I need to search the web for an answer. Please
 
 ## 4. Run the server
 
-Once your MCP server is set and the configuration updated, restart EchoKit following [Running EchoKit server](./echokit-server.md).
+Once your MCP server is set and the configuration updated, restart EchoKit following [Running EchoKit server](../server/echokit-server.md).
 
 EchoKit will now be able to call external actions via MCP.