01
Validate inference
Prepare the service URL, authentication and actual model ID. Verify discovery, a minimal request, and any required streaming or multimodal features.
Bring local models into a shared workflow.
Validate your inference service, then configure its channel and model mapping. Employees use internal credentials while your organization controls network access, capacity and costs.
02
Map the model
Separate the employee-facing model name from the ID accepted by the inference server. Match the supported protocol and verify response formats.
03
Define usage policies
Grant pilot teams access and budgets. Set concurrency and rate limits for model capacity, then inspect latency, errors and usage with business samples.
04
Plan spare-capacity supply
To supply OpenLLM, submit your service and pricing through the supplier portal for testing and review. Reserve capacity for internal workloads.
IMPLEMENTATION CHECKS
Turn requirements into verifiable results.
Reachable inference endpoint and model ID
Defined boundaries for local and external requests
Reserved capacity for internal workloads
Read deployment and integration guidance