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Documentation Index

Fetch the complete documentation index at: https://docs.tensorstax.com/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

TensorStax agents are designed to verify every action they take, ensuring reliability and accuracy in your data workflow. The agent provides real-time feedback and validation for all operations it performs.

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dbt Models

Creation & Editing: Write new dbt models and edit existing ones with automatic verification.
  • Auto-generates preview of model output
  • Automatic error detection and fixing
  • File versioning for all changes
  • Can edit existing dbt models, YML files, tests, and macros

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Tests

Automated Testing: Create and execute dbt tests with real-time results.
  • Tests auto-execute after creation
  • Agent receives immediate pass/fail feedback
  • Test results visible to users
  • Ensures data quality validation

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YML Files

Schema Management: Create and maintain YML configuration files.
  • Schema definitions and documentation
  • Test configurations
  • Model properties and metadata

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Safety Restrictions

Execution Boundaries: The agent cannot perform destructive operations.
  • Cannot execute dbt build, dbt run, or change tables
  • Cannot modify database state directly
  • Users must press the play button to run models
  • Read-only access to database schemas and metadata

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DAG Creation & Editing

DAG Management: Create new DAGs and edit existing ones with custom operators.
  • Create new Airflow DAGs from scratch
  • Edit and modify existing DAG configurations
  • Use custom operators tailored to your workflows
  • Full DAG lifecycle management

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DAG Simulation

In-Memory Testing: Simulate DAG execution without running actual tasks.
  • Uses TensorStax custom Airflow compiler
  • Simulates DAG execution in memory
  • Validates DAG structure and dependencies
  • No actual task execution or resource consumption

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Script Creation & Sync

Glue Script Management: Create scripts and sync them directly to your AWS environment.
  • Create new Glue scripts from scratch
  • Automatic sync back to customer’s AWS account
  • Full integration with AWS Glue service
  • Version control and script management

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Interactive Testing

Live Code Testing: Test code snippets before finalizing scripts.
  • Spin up interactive Glue sessions
  • Test code snippets in real-time
  • Validate logic before creating final scripts
  • Safe testing environment

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AWS Context Integration

Full AWS Glue Context: Access to your complete Glue environment.
  • Context into Glue connections and databases
  • Access to tables, crawlers, and metadata
  • Integration with existing Glue resources
  • User must press play button to execute scripts

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SELECT Queries & File Management

Query Execution & Storage: Run SELECT queries and manage SQL files.
  • Execute SELECT queries directly against your database
  • Save .sql files in your project for reuse
  • Edit existing .sql files with real-time validation
  • Preview table changes when editing existing files

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CREATE Statements

DDL Query Writing: Write CREATE TABLE and CREATE VIEW statements with preview.
  • Write CREATE TABLE and CREATE VIEW queries
  • Build on top of existing tables and data
  • Preview data output before execution
  • Verification against database schema
  • User must press play button to execute

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UPDATE & INSERT Statements

DML Query Writing: Write UPDATE and INSERT queries with diff preview.
  • Write UPDATE queries with change preview
  • Incremental inserts from source to type 2 tables
  • Data diff preview showing what will change
  • No actual table modifications until play button pressed
  • Full verification before execution

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Script Execution

Local Python Processing: Execute Python scripts on available data.
  • Execute regular Python scripts on local CSV files
  • Process and analyze data using Python libraries
  • Safe execution environment for data exploration
  • Integration with existing data sources

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API Structure Analysis

Pre-Integration Validation: Check API structures before building data pipelines.
  • Analyze API structures and endpoints
  • Validate data formats before creating Glue scripts
  • Test API responses before building Airflow DAGs
  • Ensure compatibility with ingestion workflows

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Environment Variables

Secure Configuration Management: Access environment variables stored in Vault.
  • Use environment variables set up in HashiCorp Vault
  • Secure access to API keys and credentials
  • Configuration management for scripts and workflows
  • Encrypted variable storage and retrieval
Verification First: Every action taken by TensorStax agents includes built-in verification to ensure accuracy and prevent errors from propagating through your data pipeline.