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Documentation

Getting Started with the Indico API

Datasets

Introduction to Datasets

Workflows

Workflow Operations

Submissions

Interacting with Submissions

Reporting

Introduction to Metrics and Reports
- User Reporting

Storage

Upload Storage Object
Download Storage Object

Custom Blueprints

Getting started with Custom Blueprints
Writing a Custom Blueprint
- Required inputs and outputs
Deploying a Custom Blueprint

Output

Table of contents
Retrieving Your Results
Interpreting Your JSON Results
Interpreting Your OCR and ETL Output

GraphQL

Introduction to GraphQL Queries
- Custom GraphQL Queries

Models (Agents)

Advanced Model Training Options
Static Agent Export and Import

Python

Getting Started with Indico's Python Client
Python Client Library Classes
Python Client Library Types

C-Sharp

Namespace IndicoV2
Interface IIndicoClient
Namespace IndicoV2-CommonModels
Namespace IndicoV2-DataSets
Namespace IndicoV2-Extensions
Namespace IndicoV2-GraphQLRequest
- Interface IGraphQLRequestClient
Namespace IndicoV2-Jobs
Namespace IndicoV2-Models
Namespace IndicoV2-Ocr
Namespace IndicoV2-Reviews
- Interface IReviewsClient
Namespace IndicoV2-Storage
Namespace IndicoV2-Submissions
Namespace IndicoV2-Workflows

Java

com.indico
com.indico.entity
com.indico.exceptions
com.indico.mutation
com.indico.query
com.indico.request
- Graphql Request
- Raw Graphql Request
com.indico.storage
com.indico.type

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Deploying a Custom Blueprint

Go from Python code to a custom blueprint that you can add to workflows on your cluster.

Articles in this section:

Containerizing a Custom Component
Configuring your Custom Component Deployment
Deploying a Custom Component to your Cluster
Registering a Custom Blueprint

Updated 5 days ago

Required inputs and outputs

Containerizing a Custom Component