Add Respeecher TTS to the docs

docs.json

@@ -181,6 +181,7 @@
                   "server/services/tts/openai",
                   "server/services/tts/piper",
                   "server/services/tts/playht",
+                  "server/services/tts/respeecher",
                   "server/services/tts/rime",
                   "server/services/tts/sarvam",
                   "server/services/tts/xtts"

server/services/supported-services.mdx

@@ -99,6 +99,7 @@ Text-to-Speech services receive text input and output audio streams or chunks.
 | [OpenAI](/server/services/tts/openai)         | `pip install "pipecat-ai[openai]"`     |
 | [Piper](/server/services/tts/piper)           | No dependencies required               |
 | [PlayHT](/server/services/tts/playht)         | `pip install "pipecat-ai[playht]"`     |
+| [Respeecher](/server/services/tts/respeecher) | `pip install "pipecat-ai[respeecher]"` |
 | [Rime](/server/services/tts/rime)             | `pip install "pipecat-ai[rime]"`       |
 | [Sarvam](/server/services/tts/sarvam)         | No dependencies required               |
 | [XTTS](/server/services/tts/xtts)             | `pip install "pipecat-ai[xtts]"`       |

server/services/tts/respeecher.mdx

@@ -0,0 +1,132 @@
+---
+title: "Respeecher"
+description: "Text-to-speech service using the Respeecher Space WebSocket API"
+---
+
+## Overview
+
+The Respeecher Space API provides high-quality streaming text-to-speech synthesis with low latency.
+
+<CardGroup cols={3}>
+  <Card
+    title="API Reference"
+    icon="code"
+    href="https://reference-server.pipecat.ai/en/latest/api/pipecat.services.respeecher.tts.html"
+  >
+    Complete API documentation and method details
+  </Card>
+  <Card
+    title="Respeecher Docs"
+    icon="book"
+    href="https://space.respeecher.com/docs"
+  >
+    Official Respeecher Space documentation
+  </Card>
+  <Card
+    title="Example Code"
+    icon="play"
+    href="https://github.com/pipecat-ai/pipecat/blob/main/examples/foundational/07ad-interruptible-respeecher.py"
+  >
+    Working example with interruption handling
+  </Card>
+</CardGroup>
+
+## Installation
+
+To use Respeecher services, install the required dependencies:
+
+```bash
+pip install "pipecat-ai[respeecher]"
+```
+
+You'll also need to set up your Respeecher API key as an environment variable: `RESPEECHER_API_KEY`.
+
+<Tip>
+  Get your API key by signing up at
+  [Respeecher Space](https://space.respeecher.com/).
+</Tip>
+
+## Frames
+
+### Input
+
+- `TextFrame` - Text to synthesize into speech, subject to optional aggregation
+- `TTSSpeakFrame` - Text that should be spoken immediately
+- `TTSUpdateSettingsFrame` - Runtime configuration updates (e.g., voice, sampling params)
+- `LLMFullResponseStartFrame` / `LLMFullResponseEndFrame` - LLM response boundaries
+
+### Output
+
+- `TTSStartedFrame` - Signals start of synthesis
+- `TTSAudioRawFrame` - Generated audio data chunks
+- `TTSStoppedFrame` - Signals completion of synthesis
+- `ErrorFrame` - Connection or processing errors
+
+## Language Support
+
+Refer to the Respeecher Space [Docs](https://space.respeecher.com/docs)
+for language support in different models.
+
+## Supported Sample Rates
+
+All common sample rates are supported.
+
+## Usage Example
+
+Initialize the WebSocket service with your API key and desired voice:
+
+```python
+from pipecat.services.respeecher.tts import RespeecherTTSService
+import os
+
+# Configure WebSocket service
+tts = RespeecherTTSService(
+    api_key=os.getenv("RESPEECHER_API_KEY"),
+    voice_id="samantha",
+    params=RespeecherTTSService.InputParams(
+        sampling_params={
+            # Optional sampling params overrides
+            # See https://space.respeecher.com/docs/api/tts/sampling-params-guide
+            # "temperature": 0.5
+        },
+    ),
+)
+
+# Use in pipeline
+pipeline = Pipeline([
+    transport.input(),
+    stt,
+    llm,
+    tts,
+    transport.output()
+])
+```
+
+### Dynamic Configuration
+
+Make settings updates by pushing a `TTSUpdateSettingsFrame` for the `RespeecherTTSService`:
+
+```python
+from pipecat.frames.frames import TTSUpdateSettingsFrame
+
+await task.queue_frame(
+    TTSUpdateSettingsFrame(settings={"voice": "your-new-voice-id", "sampling_params": {"temperature": 0.5}})
+)
+```
+
+## Metrics
+
+This service provides:
+
+- **Time to First Byte (TTFB)** - Latency from text input to first audio
+- **Processing Duration** - Total synthesis time
+- **Usage Metrics** - Character count and synthesis statistics
+
+<Info>
+  [Learn how to enable Metrics](/guides/fundamentals/metrics) in your Pipeline.
+</Info>
+
+## Additional Notes
+
+- **Connection Management**: WebSocket lifecycle is handled automatically with reconnection support
+- **Sample Rate**: Set globally in `PipelineParams` rather than per-service for consistency