EcoLogitsVideoGenExternalAPI
An external generative-AI video API (Sora, Veo, Kling, Seedance, Runway, ...) modeled through the EcoLogits library. Picks a provider and model from the EcoLogits video catalog; datacenter location, PUE and WUE are looked up in the EcoLogits per-provider config.
Usage from Python
Pick EcoLogitsVideoGenExternalAPI.provider and EcoLogitsVideoGenExternalAPI.model_name from the EcoLogits video catalog, then attach EcoLogitsVideoGenExternalAPIJobs sized by resolution, duration and whether audio is generated.
Params
name
A human readable description of the object.
provider
Provider key parsed from the EcoLogits video catalog (e.g. openai, google, klingai).
For example, openai.
model_name
Specific video model name (after the provider/ prefix) from the chosen provider's EcoLogits video catalog. Drives the hardware configuration and the latency-regression coefficients.
For example, sora-2-pro.
Backwards links
Calculated attributes
datacenter_location
Geographic zone where the provider's datacenter runs, looked up in the EcoLogits video provider config. Drives which electricity mix is applied.
Example value: USA
Depends directly on:
through the following calculations:
You can also visit the link to Datacenter location for openai’s full calculation graph.
data_center_pue
Power Usage Effectiveness of the provider's datacenter, looked up in the EcoLogits video provider config.
Example value: 1.2
Depends directly on:
through the following calculations:
You can also visit the link to Datacenter PUE for openai’s full calculation graph.
average_carbon_intensity
Average grid carbon intensity at the datacenter location, looked up in the EcoLogits electricity mix repository.
Example value: 0.384 kg/kWh
Depends directly on:
through the following calculations:
You can also visit the link to Average carbon intensity of electricity mix for openai’s full calculation graph.