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Trace what an agent receives, what it sends to tools and models, and what becomes part of the durable run record. The Komodor Agentic Operation Platform (KAOP) sends jobs to workers and receives execution evidence in return. A worker running in your environment can still send run content to the control plane, an MCP server, or a model provider, so network location and data exposure must be reviewed separately. This page follows a run end to end and distinguishes credential masking from the treatment of other sensitive content.

Before you assess a deployment

Identify:
  • Where the worker and control plane run.
  • Whether the worker receives invocations through a reverse channel or a directly reachable endpoint.
  • Which tool, MCP, and model endpoints it uses.
  • Which credentials are bound to the agent or gateway server.
  • What the worker emits in spans, logs, progress messages, artifacts, and output.
The following tables describe the documented SDK and platform paths. Review custom code and any separate logging or model-client paths as part of your own deployment; do not assume that arbitrary process output is governed by the SDK’s event handling.

The two directions between worker and control plane

Downstream traffic is the job: the prompt, structured input, context, identifiers, and credentials required for that execution. Upstream traffic is telemetry and lifecycle: presence, execution events, status, usage, and output. The invocation envelope uses A2A JSON-RPC 2.0. Telemetry and lifecycle use JSON through the authenticated worker interfaces. Worker-to-control-plane communication uses TLS and worker-token authentication, with run events batched on the uplink. For a private worker, the job travels down the reverse SSE connection that the worker initiated. Direct HTTP is also supported where the control plane can reach the worker. “Job travels to the worker” therefore does not necessarily mean an inbound network connection was opened to it.

What the job carries

Credential delivery to a worker is not the same as placing a secret in the agent’s prompt or model context. A credential may be consumed by the runtime or retained and injected by a gateway when authenticating an approved connection. The security reference states that rotating a stored credential affects the next run without redeploying the agent. Do not infer that a rotation replaces every value already held by an in-flight run.

What returns as evidence

The control plane persists the reported evidence. The run view is therefore a view of what was emitted, not an assurance that all local data remained local or that all process activity was captured.

Follow one alert-driven run

One alert-driven run, end to end, from inbound request to recorded evidence.

One alert-driven run, end to end, from inbound request to recorded evidence.

The following flow uses a private worker and tools accessed through the MCP Gateway:

Step 1 — Accept and record the request

The inbound endpoint verifies the request and the agent’s input schema validates the payload where configured. A routed request creates a run with its origin recorded. 202 Accepted means execution was accepted for background processing. It does not mean the investigation has succeeded.

Step 2 — Deliver the job

The worker receives the prompt, alert input, correlation IDs, and required run-scoped credentials. In this example, invocation uses the live outbound reverse channel.

Step 3 — Gather evidence through tools and models

The worker performs the investigation. With MCP tools, it calls the gateway, which proxies to the configured upstream server and supplies scoped authentication. Tool results return through that path. A direct tool client can use a different network path. Model content also goes to the configured provider or gateway. Do not describe all tool and model traffic as direct worker-to-provider traffic or as bypassing the control plane’s gateway services.

Step 4 — Report progress and any required decision

The worker emits tool spans, model spans, progress, and usage while execution continues. Tool spans can include the actual arguments and results. Where an action is gated for approval, the proposed action waits for the required decision before execution. The run evidence and decision record should show that boundary. The available approval interaction depends on the configured workflow and supported surface; this architecture example does not establish a universal Slack approval control.

Step 5 — Record the outcome

The worker reports completion or failure, final structured output, optional human-readable text, and usage. Inspect the resulting run to verify what was actually done. Durable evidence and an append-only audit log are different records. Do not infer that every run field is immutable after completion simply because audit rows are append-only.

What each entry point contributes

Invoke and schedule APIs wrap run parameters under input. A webhook passes the whole request body as the agent input. Preserve that distinction when tracing why a worker received an unexpected payload.

Workflows move outputs between environments

Each agent step is an ordinary run. The control plane captures its structured output and supplies it as input to later steps, whose workers may run in different environments. Workers receive their own step’s job, not the entire workflow definition. The control plane nevertheless handles the output being passed between them. A private worker does not make cross-step data movement local by default.

Agent-to-agent calls also carry data through the platform

For control-plane-mediated delegation, the parent invokes the child through the platform. The child has its own run, and its output returns to the parent as a tool result with the corresponding run and audit treatment. A worker’s A2A endpoint can also be called directly where reachable. Assess that direct path separately rather than assuming every possible A2A call follows the mediated route.

Credential masking and general sensitive data

Secret masking is not general content redaction A returned log line can have a known token masked while still retaining a person’s email address or an internal IP address. Likewise, “raw data stays local” is only accurate for data that is not subsequently placed in a tool result, span, model request, log, message, artifact, or output sent elsewhere. Emit bounded findings and the evidence needed to support them rather than large unfiltered dumps.
Platform event masking concerns the evidence path. It is not a claim that authentication credentials are never transmitted to the legitimate upstream service that needs them.

Control exposure deliberately

Two separate choices affect exposure: Hosted SaaS with full sharing is the documented default. Discuss strict-egress, selective-sharing, and in-environment control-plane requirements with Komodor. Self-hosting is arranged with Komodor rather than started as a console installation flow; this page does not provide a supported “send nothing” switch. Withholding run content limits features that rely on it, including quality scoring, LLM-as-judge evaluation, cross-run search, fleet analysis, and operational memory. An in-environment control plane alone also does not prevent an external model or tool provider from receiving content; review those destinations independently.

Validate the flow with a representative run

Inspect the run’s input, tool arguments/results, logs, messages, output, artifacts, and usage. Confirm that sensitive data is absent where intended and that known run-scoped credentials are masked in emitted events. Also check provider and gateway destinations. Evidence inspection shows what KAOP recorded; it is not a complete network-egress audit of custom worker code.

Next steps

Interfaces

Identify the caller and protocol that started the work

Security & data handling

Review account isolation, credential handling, audit, and deployment requirements

MCP & local tools

Distinguish platform access from upstream tool access

Runs & evidence

Inspect the recorded execution