Contextual AI

Overview

Connect Contextual AI with Flows360

Integrate with Contextual AI to automate document processing and AI workflows

Use the Contextual AI connector to include its declared actions and events in Flows360 workflows without duplicating the integration logic inside each consuming system. This pinned connector version currently exposes 7 actions and 1 trigger.

Available actions

• Query Agent
• Generate Text
• Ingest Document
• Parse File
• Create Agent
• Invite Users
• Create Datastore

Available triggers

• New Agent

The capability list above is generated from the exact reviewed connector package so the public description stays aligned with the version Flows360 operates.

Technical guide

Technical reference

Package identity

• Connector: Contextual AI
• Package: @activepieces/piece-contextual-ai@0.1.7
• Exact artifact digest: sha256:8be506e464f2f3a1e4d0fd532db14cb6fc4b94e1bc8e21a0561e7ee694f6c047
• Runtime: Activepieces-compatible deterministic worker
• Source: the exact reviewed Activepieces source

Authentication

CUSTOM AUTH. Connection values are tenant-specific and remain in the consuming Studio instance; CDK stores definitions and field metadata, not customer credential values.

Action contracts

• Query Agent (query_agent), Send a message to a Contextual AI agent and get a response Classification: read.
• Generate Text (generate), Generate text using Contextual AI's Grounded Language Model Classification: read.
• Ingest Document (ingest_document), Upload and ingest a document into a Contextual AI datastore Classification: read.
• Parse File (parse_file), Parse a document file into structured Markdown and/or JSON format Classification: read.
• Create Agent (create_agent), Create a new Contextual AI agent with specified configuration Classification: read.
• Invite Users (invite_users), Invite new users to the Contextual AI workspace Classification: read.
• Create Datastore (create_datastore), Create a new datastore for organizing documents Classification: read.

Trigger contracts

• New Agent, polling.

Verification

Deterministic execution evidence is recorded for the pinned artifact, including 1 exercised action entrypoint and 0 exercised trigger entrypoints.

Capability summary

Authentication

Authentication method: custom

Authentication profiles

Supported objects

Triggers

Setup

Setup

1. Add the Contextual AI connector to the workflow in the target Flows360 Studio instance.
2. Create or select the tenant-specific connection required by the connector. Connection secrets remain in the Studio connection boundary and are not copied into CDK documentation.
3. Provide the connection fields declared by the pinned package:

• API Key (apiKey), required; stored as a sensitive connection value.
• Base URL (baseUrl), optional.

1. Select the required action or trigger and complete its declared input fields. Required and optional inputs are defined by the exact package schema.
2. Test the workflow in the appropriate environment before enabling production scheduling or event delivery.

Limitations

Limitations and operational notes

• This content describes @activepieces/piece-contextual-ai@0.1.7; provider behaviour can change independently and should be revalidated when the provider or connector version changes.
• Only the 7 actions and 1 trigger declared by this pinned package are represented here.
• Tenant credentials and connection values are not stored in the public connector record.
• Provider-side permissions, account entitlements, quotas and rate limits remain subject to the connected provider account and are not inferred when the package does not declare them.
• Deterministic execution evidence is recorded for the pinned artifact, including 1 exercised action entrypoint and 0 exercised trigger entrypoints.

Troubleshooting

Related documentation