Integrations
Connect the platform to external tools used across your Workspace
Integrations are the credentials layer of your Workspace. They store the API keys, endpoints, and OAuth credentials Helvia.ai uses to reach external providers: AI models (LLMs), knowledge sources, live chat platforms, CRMs, and identity providers. Set them up here once and reuse them across multiple agents.
How Integrations Work
Integrations enhance your AI agents with additional functionality by connecting them to external tools and services. Configure your credentials once, then link the integration to a plugin on an agent, or directly to a Workspace feature like Knowledge, SSO, or Voice. Setup needs vary by integration.
Managing Integrations
All integrations live in Workspace > Integrations. The table lists every integration with its type and category, so you can quickly find the one you need and open it to edit or manage.

Adding an Integration
Configure the credentials
Enter the credentials and configuration for your provider. Required fields are marked, and secret fields like API keys are masked. See Integration Categories for provider-specific setup notes.
No automatic validation: Your credentials are not validated when you save the integration. Double-check the values, and test the integration end-to-end before relying on it in production.
Editing an Integration
Click any integration or use the edit icon in its Actions column, to open it. Secret fields stay masked: type a new value to overwrite them, or leave them as-is to keep the existing one. You can't save while a required field is empty. Once saved, every plugin or feature using the integration picks up the change automatically.
Anyone with edit access to the Workspace can view, modify, or reuse stored integration credentials in the Workspace. Granting edit access means trusting that user with every credential stored here.
Deleting an Integration
To remove an integration, use the delete action in its Actions column and confirm. Once deleted, any plugin still linked to the integration stops working, and the agents that depend on those plugins might break. Make sure nothing is using the integration before deleting.
Integration Categories
Each category groups providers that serve the same purpose. Pick a category when creating an integration, then choose the specific provider.
Setup varies by provider Each integration has its own configuration form. If you encounter any problem with a setup, you can reach out to Support.
AI Models
AI Models integrations are the most important integrations on the platform: they connect the large language models (LLMs) that power your AI agents themselves. Without one configured, your agents have no model to reason with, so set up an LLM integration as one of the first steps in a new Workspace.
A single AI model integration is used across the platform in:
LLM nodes
Semantic Search (RAG)
Language Detection
Session Analysis
Automated Testing
Primary and Fallback Configurations
An LLM outage is a single point of failure on the platform: without a working model, agent replies, session analysis, and language detection all stop. Each LLM integration mitigates this by holding an ordered list of configurations. When a request fails, the integration automatically retries it against the next configuration in the list until one succeeds.
An LLM integration holds up to 5 configurations in total: 1 primary and up to 4 fallbacks. Add a fallback with Add fallback inside the integration form, reorder rows by dragging them, and remove a row with its delete action.
Knowledge
Knowledge integrations sync your internal documents, files, and other knowledge sources into Knowledge Bases, so you don't have to upload them one by one. Once connected, agents can retrieve passages from the synced content at runtime, powering RAG search across the platform.
Configuring Processing Options
Document-based connectors, such as SharePoint KB and Azure Blob Storage KB, expose processing options that control how documents are parsed, chunked, and indexed for retrieval. These shared controls shape what gets ingested and how the resulting articles behave, so you can tune each source:
Voice
Voice integrations power speech-to-text and text-to-speech on voice-enabled deployment channels, so your agents can hold spoken conversations.
CRM
CRM integrations pull existing customer records into agent and LiveChat sessions, so conversations start with full context about who the user is.
Ticketing
Ticketing integrations let LiveChat human agents create and update support tickets directly from a conversation.
Live-chat
Live-chat integrations route conversations to a third-party live chat platform when a human takes over from your AI agent. The handoff carries the session context across so the human picks up where the agent left off.
Helvia LiveChat does not require an integration. It works out of the box with no Workspace setup.
SSO
SSO integrations let your team sign in to the platform with your identity provider instead of email and password.
Best Practices
Tag your environments: Apply tags like
prod,sandbox, or a team name to keep credentials organized as your Workspace growsSet up integrations first: Plugins won't show available providers until at least one matching integration exists
Reuse, don't duplicate: A single integration can serve multiple plugins across multiple agents
Rotate credentials in place: Update the existing integration rather than creating a new one, so every plugin linked to it picks up the new credentials automatically
Pick LLM fallbacks from different failure domains: Point fallbacks at a different tenant, subscription, or region so a provider incident does not take them down together
You now know what integrations do, how to create and manage them, and how they connect to plugins and other Workspace features.
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