# Before Adopting MonkeyCode SaaS, Demand Session-Level Failure Evidence

> Source: <https://dev.to/odd_background_328/before-adopting-monkeycode-saas-demand-session-level-failure-evidence-5eem>
> Published: 2026-07-16 10:37:23+00:00

An agent session stops updating at 14:07. Did the model stall, the browser stream disconnect, the managed environment fail, or the task finish while the client missed the final event?

Without session-level evidence, those incidents look identical.

Here is an OpenTelemetry-inspired acceptance protocol for [MonkeyCode SaaS](https://monkeycode-ai.net/). It does not claim that MonkeyCode exports OpenTelemetry data.

Use a disposable repository:

Change

`/health`

from`{"status":"up"}`

to`{"status":"ok"}`

, update its test, run that test, and report changed files.

```
evaluation_id: "mc-obs-001"
base_commit: "<full SHA>"
requirement_hash: "<SHA-256>"
expected_files: ["src/health.*", "test/health.*"]
timeout_seconds: 600
```

Ask whether UI, API, logs, or support evidence can reconstruct this logical trace:

```
agent.task
├── requirement.accept
├── environment.prepare
├── model.request
├── workspace.command
├── artifact.persist
└── task.complete
```

For every available event, retain task/session identity, timestamp, status, attempt number, base commit, and artifact reference. Do not request chain-of-thought or secret-bearing payloads.

During the task, disconnect the browser for 30 seconds. After reconnecting, answer:

Then run a controlled failure using a nonexistent test target. Expected outcome: visible failure, no false success.

```
terminal_state: "failed"
failed_stage: "workspace.command"
error_class: "test_target_missing"
artifact_created: false
retry_attempts: "<count or unknown>"
```

Write `unknown`

when evidence is unavailable. Unknown is a finding, not an invitation to guess.

| Gate | Pass condition |
|---|---|
| Correlation | Task, session, base, artifact connect |
| Timeline | Major transitions are ordered |
| Reconnect | Current state is unambiguous |
| Failure | Failed stage and useful error visible |
| Retry | Attempts are distinguishable |
| Hygiene | No credentials in evidence |
| Retention | Evidence lifetime is known |

MonkeyCode's README documents an online platform with managed environments and model/task/requirement management, making these operational questions relevant. It does not document or promise the fields above.

Sources: [MonkeyCode repository](https://github.com/chaitin/MonkeyCode) and [SaaS](https://monkeycode-ai.net/).

Limitations: this does not measure model quality, SLOs, throughput, cost, or security posture.

Disclosure: I'm a MonkeyCode user sharing my own experience, not affiliated with the project. This is one of several independently useful technical articles published by accounts managed by the same operator; it is not an independent endorsement.

Which missing field would make you reject a SaaS agent session as operationally unverifiable?