Update config UI link / PR 6

Update config UI link

Author: gabor-openai

README.md

@@ -11,7 +11,7 @@ For full details, advanced usage, and API reference, see here: [OpenAI Guardrail
 ## Quick Start: Using OpenAI Guardrails (Python)
 
 1. **Generate your guardrail spec JSON**
-   - Use the [Guardrails web UI](https://platform.openai.com/guardrails) to create a JSON configuration file describing which guardrails to apply and how to configure them.
+   - Use the [Guardrails web UI](https://guardrails.openai.com/) to create a JSON configuration file describing which guardrails to apply and how to configure them.
    - The wizard outputs a file like `guardrail_specs.json`.
 
 2. **Install dependencies**
@@ -57,7 +57,7 @@ For full details, advanced usage, and API reference, see here: [OpenAI Guardrail
    - The client will automatically apply all configured guardrails to inputs and outputs.
    - If a guardrail is triggered, a `GuardrailTripwireTriggered` exception will be raised. You should handle this exception to gracefully manage blocked or flagged content.
 
-> **Note:** The Guardrails web UI is hosted [here](https://platform.openai.com/guardrails). You do not need to run the web UI yourself to use the Python package.
+> **Note:** The Guardrails web UI is hosted [here](https://guardrails.openai.com/). You do not need to run the web UI yourself to use the Python package.
 
 ---
 

docs/agents_sdk_integration.md

@@ -83,7 +83,7 @@ agent = GuardrailAgent(config=JsonString('{"version": 1, ...}'), ...)
 
 ## Next Steps
 
-- Use the [Guardrails Wizard](https://platform.openai.com/guardrails) to generate your configuration
+- Use the [Guardrails Wizard](https://guardrails.openai.com/) to generate your configuration
 - Explore available guardrails for your use case  
 - Learn about pipeline configuration in our [quickstart](./quickstart.md)
 - For more details on the OpenAI Agents SDK, refer to the [Agent SDK documentation](https://openai.github.io/openai-agents-python/).

docs/evals.md

@@ -61,7 +61,7 @@ This installs:
 
 Export a configuration from the Guardrails Wizard UI and pass its path via `--config-path`.
 
-- Open the [Wizard UI](https://platform.openai.com/guardrails)
+- Open the [Wizard UI](https://guardrails.openai.com/)
 - Configure the guardrails you want to evaluate
 - Use Export to download the config file (JSON)
 - Run the evaluator with `--config-path /path/to/exported_config.json`
@@ -198,4 +198,4 @@ python guardrail_evals.py \
 ## Next Steps
 
 - See the [API Reference](./ref/eval/guardrail_evals.md) for detailed documentation
-- Use [Wizard UI](https://platform.openai.com/guardrails) for configuring guardrails without code
+- Use [Wizard UI](https://guardrails.openai.com/) for configuring guardrails without code

docs/index.md

@@ -1,6 +1,6 @@
 # Guardrails
 
-**Guardrails** is a safety framework for LLM applications that automatically validates inputs and outputs using configurable checks. Use the [Guardrails Wizard](https://platform.openai.com/guardrails) to create configurations, then drop in our client classes for automatic validation.
+**Guardrails** is a safety framework for LLM applications that automatically validates inputs and outputs using configurable checks. Use the [Guardrails Wizard](https://guardrails.openai.com/) to create configurations, then drop in our client classes for automatic validation.
 
 ![Guardrails Wizard](assets/images/guardrails_wizard_screenshot.png)
 
@@ -42,7 +42,7 @@ print(response.llm_response.output_text)
 
 - [Quickstart](./quickstart.md) - Full quickstart guide
 - [Examples](./examples.md) - See real implementations
-- [Guardrails Wizard](https://platform.openai.com/guardrails) - Create configurations visually
+- [Guardrails Wizard](https://guardrails.openai.com/) - Create configurations visually
 
 ## Disclaimers
 

docs/quickstart.md

@@ -21,7 +21,7 @@ export OPENAI_API_KEY=sk-...
 
 ## Create Pipeline Configuration
 
-The fastest way is using the [Guardrails Wizard](https://platform.openai.com/guardrails) - a no-code tool for creating configurations.
+The fastest way is using the [Guardrails Wizard](https://guardrails.openai.com/) - a no-code tool for creating configurations.
 
 Or define manually:
 

src/guardrails/checks/text/hallucination_detection.py

@@ -8,7 +8,7 @@
 
 To create an OpenAI vector store, you can:
 
-1. **Use the Guardrails Wizard**: Configure the guardrail through the [Guardrails Wizard](https://platform.openai.com/guardrails), which provides an option to create a vector store if you don't already have one.
+1. **Use the Guardrails Wizard**: Configure the guardrail through the [Guardrails Wizard](https://guardrails.openai.com/), which provides an option to create a vector store if you don't already have one.
 2. **Use the OpenAI Dashboard**: Create a vector store directly in the [OpenAI Dashboard](https://platform.openai.com/storage/vector_stores/).
 3. **Follow OpenAI Documentation**: Refer to the "Create a vector store and upload a file" section of the [File Search documentation](https://platform.openai.com/docs/guides/tools-file-search) for detailed instructions.
 4. **Use the provided utility script**: Use the `create_vector_store.py` script provided in the [repo](https://github.com/openai/openai-guardrails-python/blob/main/src/guardrails/utils/create_vector_store.py) to create a vector store from local files or directories.