· Case study
A reminder can be sent before its receipt code fails
Remove a delivery check in a local fixture to see why a tool error cannot establish that no reminder was sent to the patient.
AI product engineer
Read the example →rasa.community
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check_stock(plant="monstera")→ found: true · quantity: 7We have 7 monstera in stock right now (demo data).
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Past event · community archive
Monday, 14 September 2026 · 12:00–17:00 London time
Build Day took place on 14 September. Explore the agenda and keep building with the community.
New in the library
Practical guides and runnable examples for building, testing and operating Rasa agents.
· Case study
Remove a delivery check in a local fixture to see why a tool error cannot establish that no reminder was sent to the patient.
AI product engineer
Read the example →· Guide
Decide whether to move a LangGraph or Strands voice agent to Rasa, then port it step by step without losing its safety checks.
AI product engineer
Read the example →· Guide
If callers read card numbers to your Rasa voice agent, remove them in the speech-to-text engine before Rasa records the transcript.
AI product engineer
Read the example →· Guide
After a Rasa upgrade, write each model API key as an environment variable reference, and make sure the variable is set.
Platform / operations engineer
Read the example →· Guide
A tool that asks the customer to confirm reaches your Rasa hook under another name, so test the hook with what it really receives.
AI product engineer
Read the example →· Tutorial
Build the same prescription-refill voice agent on Rasa, LangGraph and Strands Agents, and see what each framework makes you write.
AI product engineer
Read the example →Start building
Rasa is a commercial platform with a free Developer Edition for individual builders. Request a licence key, install rasa-pro, and create a Mantle agent. Write skills as plain-language instructions and add checks for actions that need tighter control.
Already have a licence? The quickstart takes you through one complete local agent.
# download the complete project at /quickstart/$ uv sync --locked$ uv run python check.py setup# fill in the two keys in your local .env$ uv run rasa train$ uv run rasa inspectThe whole AI team
Decide what to build, design a useful conversation, test its boundaries, and make a release you can operate. Find a practical starting point for your role.
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