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Esecuzione locale
Inferenza · stima della memoria
databricks/ai_decide
Informazioni verificate sull’architettura insufficienti per una stima affidabile della VRAM.
Capacità
Modalità API
Servizio di valutazione*
Configurazione di sistema
Specifiche dettagliate
Specifiche · 7 campi
cache creation input token cost
0,0*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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.*
Ambito e condizioni
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*Ambito e condizioni
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*Ambito e condizioni
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.*