Sprint: Autonomous Cli Import Error Triage
Eliminate Import Tracebacks Blocking Your Dispatch Pipeline
Get a complete root-cause analysis and production-ready patch for your CLI import errors in 5 business days.
Import tracebacks in autonomous_loop_last are preventing structural bug fixes to your dispatch pipeline. Without resolution, autonomous operations stall, scheduled tasks fail, and your team loses confidence in automated workflows.
Fixed price. No hourly billing. No scope creep charges.
What You Get
Incident Report (PDF, 15-20 pages)
Numbered diagnostic report documenting the import chain failure, module dependency analysis, and exact traceback root cause with code references.
Replay Fixture (Python test case)
Deterministic test case in Python that reproduces the import error in isolation. Includes pytest-compatible fixture with mock dependencies for CI integration.
Import Dependency Graph (SVG + JSON)
Visual diagram of the full import tree for autonomous_loop_last and dispatch_outcome, with circular dependency detection highlighted in red.
Patch Resolution Package (diff + notes)
Git-formatted patch file with the structural fix, implementation notes explaining each change, and pre/post state validation script.
Reference Appendix (PDF + Markdown)
Curated list of relevant Stack Overflow threads, Python docs, dependency changelogs, and tooling recommendations for preventing regression.
How It Works
Frequently Asked Questions
What if you can't reproduce the error?
If the import traceback cannot be reproduced in a clean environment after three consultation sessions, you'll receive a partial refund proportional to work completed. The replay fixture deliverable ensures at minimum we identify the likely failure surface even without exact reproduction.
Do I need to share my full codebase?
No. We only require the minimal reproduction case: the import chain around autonomous_loop_last and dispatch_outcome, your Python version, and dependency versions. Source code is handled under NDA and never retained after sprint completion.
What Python versions are supported?
We support Python 3.8 through 3.12, including virtual environment and containerized (Docker/Podman) setups. If you're using PyPy or a custom interpreter, contact us before purchase to confirm scope.
What happens after I receive the deliverables?
You get 14 days of email support for implementation questions at no additional charge. If the patch needs adjustment for your specific deployment environment, we handle revisions within the original scope at no extra cost.