Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.getstrada.com/llms.txt

Use this file to discover all available pages before exploring further.

You can use the Test tab to validate an agent’s responses before (and after) going live. Here, you create short, targeted test cases that simulate a snippet of conversation and check whether the agent’s reply matches an Expected Output using a Similarity evaluator. You can run a single case or your whole suite, tune thresholds, and quickly debug failures. Testing Interface

Inside a Test Case (Editor)

  • Name the case (top-left). Keep it action-oriented: Identify caller, Respect DNC, etc.
  • You can either setup the conversation yourself or optionally, select a previous call to seed messages from a real transcript. This transcript can also fully be edited for the test.
  • Build the Conversation with short turns:
    • user → what the human said
    • bot → what your agent already said (context)
    • user → the prompt that triggers the behavior
  • Add one final bot turn and toggle Expected — this is the target reply used for scoring.
  • Use Add Message to insert turns; keep to 2–4 lines total.
  • Click Get AI Response to preview what your current agent would say (helps tune the Expected Output).
  • Save, and then your test case is ready to run.
Example:
user: Strada Insurance. Amy speaking.
bot: Hi Amy! Is Stephanie Voltz available to chat?
user: Can I ask who's calling?
bot (Expected): Of course! This is <agent>, a virtual assistant with <brand>. I'm following up on an email we sent recently.
Tips:
  • Assert one behavior per case.
  • Avoid volatile details (dates, IDs).