Tune LLM Vision analyzers to gpt-5.4-nano

master
Carlo Costanzo 2 weeks ago
parent c76c059b6e
commit 44ec76a75d

@ -10,6 +10,8 @@
# Notes: Front-door package detection waits 3 minutes after person
# activity, skips routine relocks unless a package is already present,
# and rate-limits/downscales OpenAI vision calls for cost control.
# Notes: Both analyzers use gpt-5.4-nano; the garage check remains manual
# while detection accuracy is evaluated.
# Docs: https://llmvision.gitbook.io/getting-started/usage/image-analyzer
# Video: https://youtu.be/nAhCezFetvI
######################################################################
@ -91,7 +93,7 @@ automation:
response_variable: llmvision_result
data:
provider: !secret llmvision_provider_entry
model: gpt-4.1-nano
model: gpt-5.4-nano
message: "{{ prompt_text }}"
sensor_entity: input_boolean.garbage_cans_out
image_entity:
@ -182,7 +184,7 @@ automation:
response_variable: llmvision_result
data:
provider: !secret llmvision_provider_entry
model: gpt-4.1-mini
model: gpt-5.4-nano
message: "{{ prompt_text }}"
image_entity:
- camera.frontdoorbell

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