Rasa hosting
A conversational AI framework for assistants that must behave predictably.
Rasa hosting at AIHostBox means a dedicated, single-tenant Rasa instance on our infrastructure: we install it, pin it to a reviewed release, put it behind TLS on your domain, back it up nightly and keep it patched. Plans start at $18.99 per month and the admin account, the data and any API keys are yours.
Rasa Open Source is the Apache-2.0 conversational AI framework from Rasa Technologies. You define intents and entities with training examples, write stories and rules for how conversations should go, and connect custom actions in Python for anything that touches your own systems. A trained model classifies each message and a dialogue policy chooses the next step. The result is an assistant whose behaviour you can test before it reaches customers, which is why banks, insurers and telecoms have built on it for years.
Two facts shape how to host it today. First, Rasa Open Source is in maintenance mode on the 3.6 line; new development, including the LLM-based CALM approach, happens in Rasa Pro under a commercial licence. Second, it is server software: rasa run exposes the REST API and channel webhooks on port 5005, a separate action server runs your Python code on 5055, and a tracker store keeps every conversation. Training is CPU-intensive and customers write at all hours, so neither belongs on a laptop.
Rasa hosting plans
Every plan is a dedicated single-tenant instance with NVMe storage, nightly off-box backups, TLS and managed patching. Quarterly, semi-annual and annual terms are discounted at checkout. Model tokens are not included — you bring your own key.
How we run Rasa
Two containers from the Rasa Open Source images — the Rasa server (rasa run) on port 5005 and the rasa-sdk action server on 5055 — with Postgres as the SQL tracker store.
What we configure for you
- tracker_store in endpoints.yml set to type: SQL on the bundled Postgres, so conversations survive restarts
- action_endpoint pointed at the action server on port 5055
- --enable-api with --auth-token or --jwt-secret when you need the HTTP API
- Channels in credentials.yml (REST, Slack, Telegram and others) with your tokens
- --cors origins for a website chat widget
- Project files and trained models on persistent storage, reachable over SFTP
Which plan fits
Pro (8 GB, 4 vCPU) runs the server, action server and tracker store with room to train a typical NLU and dialogue model. Max (12 GB, 6 vCPU) suits larger training sets and busier assistants. Training time grows with your data, so large projects may prefer to train in CI and upload the model.
The honest limits
Rasa Open Source is in maintenance mode and does not include CALM or other Rasa Pro features. Pipelines with large transformer components train slowly on CPU.
What people run Rasa for
Regulated support flows
Conversations that must follow an approved script.
High-volume deflection
Handle the top twenty questions without a model call each time.
Website and messaging channels
Connect one assistant to a web widget, Slack, Telegram or a plain REST client.
Backend-driven answers
Custom actions look up orders, balances or bookings in your own systems.
Licence and version policy
| Item | Position |
|---|---|
| Upstream licence | Apache-2.0 (open source edition) |
| Sold as managed hosting | Yes |
| Tenancy | Single tenant — one customer per instance |
| Patching | Critical advisories within 24 hours, high severity within 72 |
Our full position on licences, including the applications we decline to sell, is on the licensing page.
Reading on Rasa
Works well with Rasa
More Support & CX we host
Rasa hosting: your questions
Is Rasa Open Source still maintained?
Where are conversations stored?
Can I train models on the instance?
How is the Rasa HTTP API secured?
Can I move an existing Rasa project across?
Run Rasa without running a server
A dedicated Rasa instance, deployed and maintained by us. Month to month, cancel whenever.