I will audit your openai or llm API costs, latency, and reliability


Vetted by Fiverr Pro
Mr.userbox was selected by the Fiverr Pro team for their expertise.
About this gig
Is your OpenAI or LLM feature costing more than expected, responding slowly, or failing under retries and rate limits? I will audit your documented API flows for token usage, cost drivers, latency, errors, timeouts, retries, rate limits, structured output, and request reliability. Providers: OpenAI, Anthropic, Gemini, Azure OpenAI, and documented local-model APIs. - cost, token, latency, and failure observations - prioritized findings, remediation steps, and retry guidance - a practical measurement and test checklist Provide sanitized architecture notes, redacted request structures, and aggregate usage, latency, and errors. Never send credentials, customer records, private prompts, or unredacted logs. This is an audit and remediation-planning service. It excludes production deployment, full application rebuilds, security or compliance certification, and guaranteed cost, latency, quality, uptime, or business results. Implementation can be scoped separately. Contact me before ordering if your system has additional flows, providers, environments, sensitive data, RAG pipelines, agents, or tool calls.
Get to know Mr.userbox
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Mr.userbox is part of the Fiverr Pro catalog and has been hand-picked by a dedicated Fiverr Pro team for their skills and expertise.
Vetted for
Support & IT
- FromMexico
- Member sinceSep 2018
- Avg. response time8 hours
- Last delivery1 year
Languages
English
FAQ
What counts as one API flow?
One flow is one documented request path from your application or automation through one selected provider path and back to the consuming component. Separate provider branches, independently configured endpoints, independent AI features, or environments count as additional flows.
Which providers can you review?
I can review documented integrations using OpenAI, Anthropic, Google Gemini, Azure OpenAI, and documented local-model APIs. Current public pricing is rechecked when relevant.
Do you need my API key or password?
No. Do not send credentials. Preferred inputs are sanitized architecture notes, redacted request and response structures, aggregate token usage, latency summaries, and secret-free error examples.
What if I do not have complete telemetry?
I can perform a configuration and architecture review, but I will clearly separate measured findings from assumptions. Missing evidence may limit cost or latency conclusions.
Will you guarantee lower costs or faster responses?
No. I provide evidence-based findings and testable recommendations. Results depend on workload, models, prompts, network, service tier, quality requirements, and implementation.
Does the gig include implementing recommendations?
No. The standard packages are audits and roadmaps. One bounded implementation task may be scoped separately after the findings and requirements are agreed.
Can you review retries, 429 errors, and timeouts?
Yes. When evidence is available, I can assess error classification, retry limits, backoff, Retry-After handling, timeouts, duplicate-request risk, and controlled failure behavior.
Is this a security or compliance audit?
No. This is an API cost, latency, and reliability review. It is not penetration testing, legal advice, compliance certification, or a production-readiness guarantee.
Can you review RAG systems or AI agents?
I can audit bounded LLM API flows inside them. Retrieval quality, complete agent behavior, knowledge-base content, tool security, and full application development require separate scope.
What does a revision include?
A revision covers factual corrections, clarification based on the original inputs, or reasonable report-format adjustments. It does not add flows, providers, environments, telemetry, implementation, or new requirements.

