Progress Agent Engineering: Governance
You Can't Trust What You Can't Govern
Your agent answered. But did it follow the rules?
Set cost, quality and risk boundaries, then monitor issues with alerts and notifications tied to spend and quality.
No credit card required. Free for small teams. First trace in minutes.
Control Access, Spend and Risk Before Agents Scale.
Set operating boundaries before agents run, then prove what happened after.
Set the Rules
Define approved models, tools, workflows, owners and cost boundaries before agents run.
Explore MoreDetect What Breaks
Surface risky, expensive, slow or low-quality behavior and route it to the right team.
Explore MoreProve What Happened
Keep trace-connected evidence for review, audit, investigation and improvement.
Explore MoreSet the Rules
Govern model, tool and spend access.
Use policies and Model Gateway to route agents through approved models, keys, tools and cost controls before they run.
- Set boundaries for models, tools, context and spend.
- Route access through Model Gateway.
- Tie policy signals to owners, environments and traces.
Model Gateway is available for Pro and Custom plans and priced separately.
Detect What Breaks
Catch risky behavior fast.
Use alerts and notifications to surface hallucinations, unsafe outputs, prompt injection, latency issues and cost spikes.
- Detect hallucination, poor grounding, unsafe output, PII exposure and prompt-injection risk.
- Alert owners when thresholds are crossed.
- Flag cost, quality, safety and latency issues.
- Route sensitive runs to human review.
Prove What Happened
Keep an audit-ready record.
Preserve prompts, model calls, tools, context, costs, verdicts and review states for audits and investigations.
- Review trace-connected evidence.
- Support audits and governance reviews.
- Feed findings back into policies and evaluations.
Capabilities
Governance capabilities across the agent lifecycle
Agent Policies
Set boundaries for cost, quality, safety, security, models, tools and context.
Auditing
Keep trace-connected records for reviews, investigations and governance.
Human Review
Escalate sensitive, risky or low-confidence runs with full run context preserved.
Model Gateway
Control approved model access, keys, regions and usage policies.
Pro and Custom plans; priced separately.
Alerts & Notifications
Notify the right owners when behavior crosses cost, quality, safety or latency thresholds.
Cost & Usage Controls
Attribute token usage and estimated cost to agents, workflows, models, and owners.
AI Improvement Loop
Turn Evaluations Into
Continuous Improvement
Design with Control. Observe what happened. Evaluate the outcome. Improve continuously.
Connect Your Agent.
Paste this prompt into your agent.
Sign up for free · No credit card required
Connect Your Agent Paste this prompt into your agent
Install https://github.com/telerik/observability-skillsWorks with Cursor, Claude Code, Copilot, Codex and more.
Set up API Key
Your agent will ask for your API key. Get your API Key here.
Learn & Explore More
Pricing
Simple, predictable pricing. Start free, scale as you grow. No surprises, no hidden fees.
Free ForeverFor developers testing early agent prototypes
per month
Includes 10,000 units
Retention: 7 days
StarterFor small teams deploying their first live AI agents
per month
Includes 200,000 units
Retention: 30 days
$8 USD per additional 100K units
ProFor teams running production AI agents at scale
per month
Includes 1,000,000 units
Retention: 60 days
$8 USD per additional 100K units
EnterpriseFor organizations scaling governed AI applications
per month
Custom trace volume
Retention: Infinite
Explore More in Progress Agent Engineering
Observability
Observe and debug production behavior
Trace prompts, model calls, retrieval, tools, workflow steps, latency, tokens and cost so teams can understand what agents actually did.
Evaluations
Design, Test and Improve Agent Behavior
Use prompts, playgrounds, datasets, experiments and LLM-as-a-judge evaluations to compare behavior before and after release, track regressions and optimize for quality, safety and cost.
Memory & Context
Control What Agents Retrieve, Remember and Reuse
Manage what agents retrieve, remember, reuse, share and forget across workflows so they use the right context in the right place.
Agent Engineering Overview
See the Full Control Layer for Production AI
Explore how Progress Agent Engineering brings observability, evaluations, governance and memory/context together to help teams improve quality, cost and trust in production AI.
Works with Your Stack
The Progress Agent Engineering Platform integrates with the tools, frameworks and platforms teams already use to build and run AI agents.
- Languages & SDKs: .NET (C#), Python, JavaScript/TypeScript
- Agent Frameworks: Semantic Kernel, LangChain, LlamaIndex, AutoGen, Microsoft Agent Framework
- LLM Providers: Azure OpenAI, OpenAI, Anthropic
- AI Tooling: Microsoft.Extensions.AI, Microsoft AI Foundry, Progress RAG
- Enterprise SSO: Okta, Azure AD, SAML
- Open-Source Models (OSS): Llama 2/3, Mistral, Mixtral, Falcon, Gemma, etc.
Ready to Scale Agents You Can Trust?
Control access, spend and risk with governance evidence connected to every production run.