Architecture and migration
Sizing, target environment, data transfer, cutover and recovery are resolved before production operations.

WZ-IT plans, installs and operates LiteLLM as managed hosting, in your cloud or on premises. Depending on the target design, we also provide migration, secure network and identity integration, monitoring, backups, updates, integrations and further development.
Companies worldwide trust WZ-IT

LiteLLM is a gateway between applications and LLM providers. Teams call an OpenAI-compatible API while routing between local models, European endpoints and cloud providers.
We operate LiteLLM as a controlled AI access layer with virtual keys, budgets, provider fallbacks, logging, network segmentation and integration into Ollama, Langfuse and internal applications. Advanced authentication and SSO depend on the edition and target architecture.
Without a gateway, API keys, provider dependencies and cost control quickly spread uncontrolled. LiteLLM centralizes routing, quotas and fallbacks.
LiteLLM has an MIT-licensed core and commercial enterprise features. We check upfront whether core features are sufficient or enterprise features such as advanced authentication are useful.
Route requests to Ollama, OpenAI-compatible endpoints, European providers or hyperscaler APIs through a unified interface.
Provider outages, rate limits or cost limits can be handled through fallback rules and routing policies.
Teams and applications receive their own keys, budgets and policies instead of direct provider access.
Token usage, models, providers and budgets become centrally visible and controllable.
Existing applications can often move to new models or providers without major rewrites.
We harden the gateway, separate networks, integrate authentication and monitor metrics, logs and availability.
LiteLLM decouples applications from individual model providers and makes provider changes, fallbacks and local models controllable.
Virtual keys, budgets and policies create a clean technical boundary between teams, applications and model providers.
We operate LiteLLM with TLS, network segmentation, monitoring and clear operating processes for production AI workloads.
We do more than provide an application. WZ-IT designs the technical architecture, integrates network and identity, operates the agreed scope and develops integrations when the standard product is not enough.
Sizing, target environment, data transfer, cutover and recovery are resolved before production operations.
SSO, secure access, internal systems and existing security components are integrated appropriately.
Updates, backups, technical monitoring and response paths follow a transparent operational scope.
APIs, automation and custom extensions can be delivered beyond basic deployment.
The exact scope depends on the application, edition, infrastructure and criticality. Vendor licences and non-standard components are quoted separately.
AI applications need controlled model access, knowledge sources, permissions and observability in addition to the user interface. We design these data flows as one coherent stack.
Teams, business applications and API clients use defined interfaces and endpoints.
TLS, firewall rules, reverse proxies or private network paths are designed around the platform's exposure.
Local accounts, SSO, directories, service accounts and emergency access are connected through clear roles.
Application logic, model access, roles and approved capabilities run in a controlled environment.
Local or external models, GPU/CPU resources, routing, limits and cost controls.
Documents, databases, vector search and traceable data paths for RAG and search.
Reviewed tools, APIs, logging, metrics and technical quality controls.
Models, extensions and data sources are not enabled indiscriminately. Permissions, data exposure, cost and professional oversight are assessed per use case.
A clearly defined operating scope instead of an opaque hosting flat fee.
We set up a test instance for you, usually on the next business day. No payment details required. After seven days it is deleted unless you continue.
Compute, applications, storage and response are shown separately. You can see what ongoing operations include and which requirements need a technical assessment.
We also design custom LiteLLM architectures, integrations and migrations. Contact us for a technical assessment.
One managed standard LiteLLM application is included in the Starter workload. Business and higher levels add a flexible operations allowance for planned work during regular service hours. Select compute, additional applications, storage and the appropriate service level.
A workload is one compute instance with the applications agreed for it.
One standard app per workload is already included. Additional dedicated servers count as separate workloads.
€79.90 per started TB and month, including daily encrypted offsite backup with 7-day retention.
Enquiry
Briefly describe the current state and objective for LiteLLM. We assess infrastructure, integration, and ongoing operations.
24.05.2026
Anyone bringing AI into production business processes quickly faces an uncomfortable question: what is actually happening in there? Which prompt went to which model, why...
24.11.2025
OpenAI released GPT-OSS 120B as an open-weight reasoning model on 5 August 2025. Its native MXFP4 quantisation allows OpenAI to position the model for a...
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Whether a specific IT challenge or just an idea - we look forward to the exchange. In a brief conversation, we'll evaluate together if and how your project fits with WZ-IT.