Run Agents with
Confidence
Execute agentic flows in isolated, governed environments. Automatic policy enforcement, resource injection, and lifecycle management across any framework.
Works With Your Stack
Wrap existing agents or load from declarative definitions. EV normalizes lifecycle events across all supported frameworks.
Governed Execution
Automatic Policy Enforcement
Guardrails apply at every lifecycle hook—input validation, output filtering, tool call authorization.
Isolated Environments
Each execution runs in a controlled context with scoped access to resources and secrets.
Resource Injection
Prompts, knowledge, and tools are automatically injected based on agent definitions.
Lifecycle Management
Unified hooks for on_input, on_output, on_tool_call, and on_error across all frameworks.
Wrap or Load
Wrap existing agents with EV.build_executor() or load from YAML definitions.
Streaming Support
Full streaming support with policies applied to streamed content in real-time.
Two Lines to Governed Execution
from agno import Agent
from ev_core import EV
# Your existing agent
agent = Agent(model="gpt-4o", instructions="You are helpful")
# Wrap with EV - policies auto-apply
executor = await EV.build_executor(agent)
response = await executor.run(task="Help me draft an email")Deploy Agents with Confidence
Stop worrying about prompt injection, PII leaks, and runaway agents. EV Runtime handles governance so you can focus on building.
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