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Inference · memory estimate
databricks/ai_decide
Not enough verified architecture information for a reliable VRAM estimate.
Capabilities
API mode
Evaluation service*
System configuration
Detailed specifications
Specifications · 7 fields
cache creation input token cost
0.0*Scope and conditions
native_context
provider
databricks*
mode
evaluation*
full_native_model_id
databricks/ai_decide*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
cache read input token cost
0.0*Scope and conditions
native_context
provider
databricks*
mode
evaluation*
full_native_model_id
databricks/ai_decide*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
0.0*Scope and conditions
native_context
provider
databricks*
mode
evaluation*
full_native_model_id
databricks/ai_decide*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
databricks*Scope and conditions
native_context
provider
databricks*
mode
evaluation*
full_native_model_id
databricks/ai_decide*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
metadata
notes
The ai_decide AI Function (Beta), called through POST /api/2.0/ai-functions/ai-decide. Its response carries no token usage, so LiteLLM records no spend for it.*
Scope and conditions
native_context
provider
databricks*
mode
evaluation*
full_native_model_id
databricks/ai_decide*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
evaluation*Scope and conditions
native_context
provider
databricks*
mode
evaluation*
full_native_model_id
databricks/ai_decide*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
0.0*Scope and conditions
native_context
provider
databricks*
mode
evaluation*
full_native_model_id
databricks/ai_decide*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*