Testing Azure AI Foundry Agents
Enterprise teams building on Azure AI Foundry need confidence that an agent will behave correctly across the range of things real users actually ask, not just the scenarios it was designed around. ContextQA tests from the outside, treating the agent as a black box the way a customer does.
Black-box, by design
Foundry's own tooling helps you build and configure agents. It does not run adversarial, real world conversation testing to catch what happens when a user goes off script. Most AI testing tools are either observability platforms watching production traffic or SDK-first libraries requiring code-level access. ContextQA is neither — pre-launch, black-box, and built for agents you don't control the source code of. See how ContextQA tests AI agents →
1. Define
Point ContextQA at your agent's documentation, system prompt, policy files, or conversation logs.
2. Probe
ContextQA generates adversarial and functional scenarios and runs them against your live agent, no SDK or code access required.
3. Score
Every response is scored with configurable AI judgment plus deterministic checks — a confidence rating backed by evidence, not a guess.
“A question spans two unrelated policies.”
Running the multi-turn probe
Contradictory guidance depending on phrasing — flagged
What this catches before customers do
Catch contradictory guidance
“Can this test multi-turn conversations, not just single questions?”
Yes — multi-turn consistency is a core part of what gets tested.
Hallucination-trap scenariosMulti-turn consistency
"Does it handle multi-turn conversations?"
Yes. ContextQA simulates full multi-turn chains of 20 or more turns with branching logic and escalation flows.
Multi-turn evaluationModel-upgrade regression
"What happens when I upgrade the underlying model?"
Every model upgrade triggers a full regression run, surfacing behavioral drift before you deploy.
Regression runsNo SDK, no code access
"How are test scenarios generated?"
Point ContextQA at your agent's docs, prompts, or policies. It models the behavior and generates scenarios automatically.
Black-box by designNo SDK, no code access
- Your agent's docs, system prompt, or policy files
- No dev-org or source access needed
- About 30 minutes for the first scenario set
- Share your agent's documentation, prompts, or policies
- ContextQA generates adversarial and functional scenarios automatically
- Scenarios run against your live agent, scored with a confidence rating
On-premises deployment is available for strict security or data-residency requirements. Contact sales for details.
"No SDK, no instrumentation, no code access required."
— ContextQA's black-box testing model
Tested before it reaches a customer
Works with Salesforce Agentforce, Amazon Bedrock, Azure AI Foundry, Snowflake Cortex, Intercom Fin, and custom-built agents.
Common questions
No, testing happens against the agent's live behavior, not its internal configuration.
Yes, multi-turn consistency is a core part of what gets tested.
Foundry's tools evaluate against your own configuration and test sets. ContextQA adds independent, real world scenario testing from the customer's perspective.
Any agent platform, including Salesforce Agentforce, Amazon Bedrock, Azure AI Foundry, Snowflake Cortex, Intercom Fin, and custom-built agents. Because ContextQA tests from the outside, there is nothing to instrument on the platform side.
Yes. ContextQA can be deployed entirely within your own infrastructure, ideal for organizations with strict security, compliance, or data-residency requirements. Contact sales for details.
See a real scenario catch a real failure
Book a 20-minute demo and watch ContextQA probe a live agent.
Book a Demo Testing a different agent platform? See how ContextQA tests AI agents →