Running the Application
Understanding the application
Before you run secret_ai_getting_started.py, let's examine the code.
1. Importing the Required Modules
ChatSecret: Handles communication with the LLM, such as sending messages and receiving responses.Secret: Manages secure access to LLM models and provides metadata about available models.
2. Initializing the Secret Client
Creates an instance of
Secret, which is used to interact with the Secret backend to fetch available LLM models and their connection details.
3. Fetching Models and URLs
get_models(): Retrieves a list of all LLM models registered with the backend.get_urls(model=models[0]): For the first model in the list (models[0]), fetches a list of instance URLs where the model can be accessed.
4. Setting Up the LLM Client
base_url=urls[0]: Specifies the first URL in the list as the endpoint to connect to the LLM.model=models[0]: Specifies the model to use (e.g., Llama or Deepseek, etc).temperature=1.0: Configures the "creativity" of the model's responses. Higher values produce more varied outputs, while lower values make responses more deterministic.
5. Defining the Chat Messages
Messages are defined as a list of tuples:
("system", ...): Instructions for the model about its role (e.g., "therapist").("human", ...): A message from the user (e.g., expressing sadness about missing their cat).
6. Invoking the Model
invoke(messages, stream=False): Sends the messages to the LLM for processing.messages: The list of chat messages.stream=False: Indicates that the response should be returned all at once rather than streamed in parts.
Manually Setting Up node_url
node_urlIf you experience issues with the default node_url (SECRET_NODE_URL_DEFAULT config variable), instead of declaring the client like this:
you can manually specify a node_url when instantiating the Secret client:
Alternatively, you can set the node_url via an environment variable:
For more details on available endpoints and a list of LCD nodes, refer to the official Secret Network documentation: Connecting to the Network - Testnet Pulsar-3
Run the application
To run the sample application:
Upon successful installation, you should see a response:
Conclusion
The Secret AI SDK provides developers with an early glimpse into integrating confidential LLMs, enabling secure and innovative applications. As a developer preview, it is designed for testing and exploration, not production use. Feedback is encouraged to help refine the SDK for future releases.
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