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Technical Reference

Straico

All-in-one generative AI platform

CategoryArtificial Intelligence
Authenticationcustom
Version0.3.0
Published scopes0 published scopes
Last updatedSeptember 24, 2026

Overview

Connect Straico with Flows360

All-in-one generative AI platform

Use the Straico 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 17 actions and no declared triggers.

Available actions

  • Ask AI
  • Image Generation
  • Upload File
  • Create RAG
  • List RAGs
  • Get RAG by ID
  • Update RAG
  • Delete RAG
  • Plus 9 additional declared actions.

Available triggers

  • No triggers are declared in this pinned package.

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: Straico
  • Package: @activepieces/piece-straico@0.3.0
  • Exact artifact digest: sha256:71c966e36097acdfdb6dc220d851457627076ae99888785c373d47aebbdafa4d
  • Runtime: Activepieces-compatible deterministic worker
  • Source: the exact reviewed Activepieces source

Authentication

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

Action contracts

  • Ask AI (prompt_completion), Enables users to generate prompt completion based on a specified model. Classification: read.
  • Image Generation (image_generation), Enables users to generate high-quality images based on textual descriptions. Classification: read.
  • Upload File (file_upload), Upload a file to Straico API for processing. Classification: read.
  • Create RAG (create_rag), Create a new RAG (Retrieval-Augmented Generation) base in the database. Classification: read.
  • List RAGs (list_rags), List all RAG (Retrieval-Augmented Generation) bases for a user. Classification: read.
  • Get RAG by ID (get_rag_by_id), Retrieve a specific RAG (Retrieval-Augmented Generation) base by its ID. Classification: read.
  • Update RAG (update_rag), Update an existing RAG (Retrieval-Augmented Generation) base with additional files. Classification: read.
  • Delete RAG (delete_rag), Delete a specific RAG (Retrieval-Augmented Generation) base by its ID. Classification: read.
  • RAG Prompt Completion (rag_prompt_completion), Send a prompt to a specific RAG (Retrieval-Augmented Generation) model. Classification: read.
  • Create Agent (agent-create), Creates a new agent in the database for the user. Classification: read.
  • Add RAG to Agent (agent-add-rag), Adds a new RAG to an agent in the database for the user. Classification: read.
  • List Agents (agent-list), Retrieves the list of agents created by and available to the user. Classification: read.
  • Delete Agent (agent_delete), Delete a specific agent by its ID Classification: read.
  • Update Agent (agent_update), Update the details of a specific agent Classification: read.
  • Get Agent Details (agent_get), Retrieve details of a specific agent Classification: read.
  • Agent Prompt Completion (agent_prompt_completion), Prompt an agent with a message and get a response Classification: read.
  • Custom API Call (custom_api_call), Make a custom API call to a specific endpoint Classification: read.

Trigger contracts

  • No trigger delivery contracts are declared.

Verification

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

Capability summary

Authenticationcustom
Supported objects17
Supported actionsNot published
TriggersNone published

Authentication

Authentication method: custom

Authentication profiles

connection · custom
  • API Key Required · protected credential

Supported objects

ObjectReadWriteNotes
Ask AI Yes No Enables users to generate prompt completion based on a specified model.
Image Generation Yes No Enables users to generate high-quality images based on textual descriptions.
Upload File Yes No Upload a file to Straico API for processing.
Create RAG Yes No Create a new RAG (Retrieval-Augmented Generation) base in the database.
List RAGs Yes No List all RAG (Retrieval-Augmented Generation) bases for a user.
Get RAG by ID Yes No Retrieve a specific RAG (Retrieval-Augmented Generation) base by its ID.
Update RAG Yes No Update an existing RAG (Retrieval-Augmented Generation) base with additional files.
Delete RAG Yes No Delete a specific RAG (Retrieval-Augmented Generation) base by its ID.
RAG Prompt Completion Yes No Send a prompt to a specific RAG (Retrieval-Augmented Generation) model.
Create Agent Yes No Creates a new agent in the database for the user.
Add RAG to Agent Yes No Adds a new RAG to an agent in the database for the user.
List Agents Yes No Retrieves the list of agents created by and available to the user.
Delete Agent Yes No Delete a specific agent by its ID
Update Agent Yes No Update the details of a specific agent
Get Agent Details Yes No Retrieve details of a specific agent
Agent Prompt Completion Yes No Prompt an agent with a message and get a response
Custom API Call Yes No Make a custom API call to a specific endpoint

Setup

Setup

  1. Add the Straico 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:
  • No provider credential fields are declared by the pinned package.
  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-straico@0.3.0; provider behaviour can change independently and should be revalidated when the provider or connector version changes.
  • Only the 17 actions and 0 triggers 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

Why canu2019t the connector authenticate?

Check the tenant connection in Studio and confirm every required Straico connection field is present. Re-authorise OAuth-based connections if the provider token or consent has expired. Do not place credential values in CDK content or logs.

Why is an action or trigger unavailable?

Confirm that the workflow is using @activepieces/piece-straico@0.3.0 and compare the requested capability with the declared action and trigger list for this version. A capability that is not declared by the pinned package should not be presented as supported.

What should I check after a provider-side change?

Revalidate authentication, required fields, action/trigger behaviour and provider documentation before publishing refreshed connector content or moving a new package version into production.

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