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Full support for agentic workflows multi-step traces, tool call logging, agent-level access control, and Model Context Protocol governance, all enforced at the gateway.
As AI agents take multi-step actions with real-world consequences, Portkey provides the visibility, guardrails, and governance to run them safely at scale.
Trace every step of an agentic workflow tool calls, LLM calls, and sub-agent invocations in a unified timeline view linked to cost and latency.
Log every tool invocation with server name, tool, inputs, outputs, latency, and error detail no manual instrumentation needed.
Issue scoped virtual keys to agents. Define which models, tools, and APIs each agent identity can access.
Full Model Context Protocol support govern every MCP server call your agents make, with tracing and guardrails applied automatically.
Apply input and output guardrails to agentic workflows stop PII leakage, off-topic actions, and policy violations mid-flight.
Track LLM spend, token usage, and latency broken down by agent ID identify runaway agents before they blow budgets.
Prompt engineering alone can't stop an agent from leaking PII, exceeding its budget, or taking unintended actions. Portkey enforces governance at the infrastructure layer on every action, every time.
