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Dataiku Developer Guide
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  • Getting started
    • Accelerate AI success with Dataiku
    • Coding with Dataiku
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      • Leveraging SQL in Python & R
      • Using Bigframes Python in Dataiku: basics
      • Using Dask DataFrames in Dataiku
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        • Creating a Custom Python Tool
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        • Step 1: Prepare the input dataset for ML modeling
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      • Using LIME for Model Explainability
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        • Load and re-use a TensorFlow Hub model
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        • Load and re-use an NLTK tokenizer
      • Model Import
        • Importing serialized scikit-learn pipelines as Saved Models for MLOps
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        • Wrapping an exported model in a CLI tool
        • Deploying a model to an edge device with AWS IoT Greengrass
      • Distributed ML Training using Ray
      • Scanning Models with Protect AI Guardian Using Python
    • Plugins development
      • Foreword
      • Creating and configuring a plugin
      • Setting up a dedicated instance for developing plugins
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        • Git integration for plugins
        • Plugin version management with Git
      • Datasets
        • Creating a plugin Dataset component
      • File Format
        • Writing a plugin File Format component to allow ICal import in Dataiku
      • LLM Mesh
        • Creating a custom agent
        • Creating a custom tool
        • Creating a custom guardrail
        • Creating a custom LLM Connection
        • Creating a structured agent block component
      • Macros
        • Creating a plugin Macro component
        • Writing a macro for project creation
        • Writing a macro for managing regression tests
      • Parameter sets
        • Creating a parameter set component
      • Processor plugin component
        • Creating a plugin Processor component
      • Project Standards Check component
        • Creating a Project Standards Check component
      • Prediction algorithm
        • Creating a plugin Prediction Algorithm component
      • Recipes
        • Creating a plugin Recipe component
        • Writing a custom recipe to remove outliers from a dataset
      • Sample dataset
        • Creating a sample dataset
      • Webapps
        • Turning an existing webapp into a webapp plugin component
    • Webapps
      • Common subjects on webapps
        • Accessible resources from webapps
        • Creating an API endpoint from webapps
        • Querying the LLM from an headless API
        • Accessing and understanding logs for WebApps
        • Impersonation with webapps
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        • Bokeh: Your first webapp
      • Dash
        • Create an empty dash webapp
        • Dash: your first webapp
        • Display a Bar chart using Dash
        • Create a simple admin project dashboard using Dash.
        • Create a simple multi-page webapp
        • Uploading or downloading files with Managed Folders in Dash
        • How to create a form for data input?
        • Simple scoring application
        • Listing and deleting a selection of projects
        • Creating an API endpoint for using an LLM-Based agent
        • Using Dash and LLM Mesh to build a GPT-powered web app assistant
        • Creating a Dash application using an LLM-based agent
      • Gradio
        • Gradio: your first web application
        • Creating a Gradio application using an LLM-based agent
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        • HTML/CSS/JS: your first webapp
        • Adapt a D3.js Template in a Webapp
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        • Serve and share your static webapp
        • Uploading to Dataiku in a Webapp
        • Downloading from a Dataiku Webapp
        • How to create a form for data input?
        • Simple scoring application
      • Streamlit
        • Streamlit: your first webapp
        • Streamlit: your first webapp using code studio
      • Use your own framework.
        • Basic setup: Code studio template
        • Basic setup: Quickstart with Angular & Vue Templates
        • Basic setup: Deploy your web application
        • Advanced setup: Code Studio template creation
        • Advanced setup: Web application creation and publication
        • Advanced setup: Next.js web application creation and publication
      • Voilà
        • Voilà: your first web application
        • Creating a Voilà application using an LLM-based agent
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  • API Reference
    • Python
      • Index
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      • The main API client
      • Interaction with Pyspark
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      • Flow creation and management
      • LLM Mesh
        • LLM Mesh Core
        • LLM Mesh Retrieval And Knowledge Banks
        • LLM Mesh Integrations
        • Document Extraction For LLM Workflows
        • Local Models For LLM Mesh
      • Agents
      • Machine learning
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      • Statistics worksheets
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      • Jobs
      • Authentication information and impersonation
      • Importing tables as datasets
      • Wiki
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      • Performing SQL, Hive and Impala queries
      • SQL Query
      • Project libraries
      • Meanings
      • Users and groups
      • Connections
      • Scenarios (in a scenario)
      • Code envs
      • Plugins
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      • Macros
      • Dataiku applications
      • Feature Store
      • Streaming endpoints
      • Snowpark
      • Databricks Connect
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      • Metrics and checks
      • Model Evaluation Stores
      • Other administration tasks
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      • Index of the dataiku package
      • Index of the dataikuapi package
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        • API for plugin formats
        • API for plugin FS providers
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      • Datadir footprint
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      • Project Standards
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      • Agents Review
      • Cloud
You are viewing the developer guide for version 15 of DSS.
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  • Custom Guardrails
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Custom guardrails¶

This section contains several learning materials about the plugin component: LLM Guardrail

  • Creating a custom guardrail
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