diff --git a/CHANGELOG.md b/CHANGELOG.md
index 2c8c79244..f75a36d41 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,6 +9,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Added
+- Added logging and improved error handling to help diagnose and prevent potential
+ Pipeline freezes.
+
- Introduce task watchdog timers. Watchdog timers are used to detect if a
Pipecat task is taking longer than expected (by default 5 seconds). It is
possible to change the default watchdog timer timeout by using the
@@ -72,6 +75,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Fixed
+- Fixed an issue in `FastAPIWebsocketClient` to ensure proper disconnection
+ when the websocket is already closed.
+
+- Fixed an issue where the `UserStoppedSpeakingFrame` was not received if the
+ transport was not receiving new audio frames.
+
+- Fixed an edge case where if the user interrupted the bot but no new aggregation
+ was received, the bot would not resume speaking.
+
- Fixed an issue with `ElevenLabsTTSService` where the context was not being
closed.
diff --git a/examples/freeze-test/README.md b/examples/freeze-test/README.md
new file mode 100644
index 000000000..4bbc8deae
--- /dev/null
+++ b/examples/freeze-test/README.md
@@ -0,0 +1,59 @@
+# Freeze Test Client
+
+The purpose of this example is to create an environment for testing the bot and try to create freezing conditions.
+
+### Approach 1: Server-Side Testing with `SimulateFreezeInput`
+
+- Utilize only the bot `freeze_test_bot.py` with the `SimulateFreezeInput` processor. This input continuously injects frames, simulating user speech interruptions at random intervals.
+- This approach excludes the use of input transport and speech-to-text (STT) functionalities.
+
+### Approach 2: Server-Side with TypeScript Client
+
+- Combine server-side operations with a TypeScript client.
+- The client initially records a segment of audio, e.g., 5–10 seconds long. It can be anything.
+- After that, it replays this recorded audio to the server at random intervals, mimicking user input interruptions.
+- This helps testing interruptions in the pipeline as if real users were interacting with the bot.
+
+## Setup
+
+Follow these steps to set up and run the Freeze Test Client:
+
+1. **Run the Bot Server**
+ - Set up and activate your virtual environment:
+ ```bash
+ python3 -m venv venv
+ source venv/bin/activate # On Windows: venv\Scripts\activate
+ ```
+
+ - Install dependencies:
+ ```bash
+ pip install -r requirements.txt
+ ```
+
+ - Create your `.env` file and set your env vars:
+ ```bash
+ cp env.example .env
+ ```
+
+ - Run the server:
+ ```bash
+ python freeze_test_bot.py
+ ```
+
+2. **Navigate to the Client Directory**
+ ```bash
+ cd client
+ ```
+
+3. **Install Dependencies**
+ ```bash
+ npm install
+ ```
+
+4. **Run the Client Application**
+ ```bash
+ npm run dev
+ ```
+
+5. **Access the Client in Your Browser**
+ Visit [http://localhost:5173](http://localhost:5173) to interact with the Freeze Test Client.
diff --git a/examples/freeze-test/client/index.html b/examples/freeze-test/client/index.html
new file mode 100644
index 000000000..843ade882
--- /dev/null
+++ b/examples/freeze-test/client/index.html
@@ -0,0 +1,43 @@
+
+
+
+
+
+
+ AI Chatbot
+
+
+
+