You will get a focused audit of your LangGraph or LLM agent reliability
Project details
You will get a focused reliability audit of a production LangGraph or LLM-agent workflow. I will review state transitions, prompts, tools, traces, authorization boundaries, retries, failure handling, and existing evaluations to identify where reliability breaks and which changes have the highest leverage.
I have designed and shipped production LangGraph agents, built trace-level observability, evals, CI gates, authorization checks, and deterministic workflow nodes, and owned the surrounding Python/Django platform.
The deliverable includes a failure map, evaluation and guardrail gaps, prioritized remediation plan, and one narrowly scoped patch when feasible within the agreed access and time. It excludes model or infrastructure usage charges and broad product rewrites. Where evidence is incomplete, I will state the uncertainty and the smallest next experiment required.
I have designed and shipped production LangGraph agents, built trace-level observability, evals, CI gates, authorization checks, and deterministic workflow nodes, and owned the surrounding Python/Django platform.
The deliverable includes a failure map, evaluation and guardrail gaps, prioritized remediation plan, and one narrowly scoped patch when feasible within the agreed access and time. It excludes model or infrastructure usage charges and broad product rewrites. Where evidence is incomplete, I will state the uncertainty and the smallest next experiment required.
AI Development Type
Software MaintenanceAI Development Language
PythonWhat's included $900
These options are included with the project scope.
$900
- Delivery Time 2 days
- Number of Revisions 1
Frequently asked questions
About Ivan
Staff Python & AI Platform Engineer | Django, AWS, LangGraph
Madrid, Spain - 9:49 am local time
I am strongest in Python, Django, FastAPI, PostgreSQL, ClickHouse, Kafka, Celery, RabbitMQ, Redis, AWS, Terraform, Kubernetes, and production LLM-agent workflows. I can join for a focused diagnostic, code or architecture review, incident recovery, performance investigation, or a short implementation sprint. I communicate directly, document findings, and leave teams with a prioritized plan they can execute.
Available for focused 24–72 hour engagements:
• Python/Django/FastAPI production diagnosis and recovery
• LangGraph or LLM-agent reliability review
• PostgreSQL/ClickHouse/Kafka performance triage
• AWS cost, reliability, and deployment review
• Architecture and code review for a critical release
You will receive concrete findings, an ordered remediation plan, and clearly scoped implementation options. I only take work where I can be useful quickly.
Steps for completing your project
After purchasing the project, send requirements so Ivan can start the project.
Delivery time starts when Ivan receives requirements from you.
Ivan works on your project following the steps below.
Revisions may occur after the delivery date.
Map workflows and failure modes
I review the agent graph, state, tools, prompts, traces, and target behaviors to build a reproducible failure map.
Evaluate reliability and controls
I assess error handling, retries, authorization, observability, evaluation coverage, and the highest-risk failure paths.