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Auto-generated by model-addition-agent for openrouter/openai/gpt-5.6-luna-pro.
Note
Low Risk
Adds declarative model metadata only; no runtime, auth, or application logic changes.
Overview
Adds a new OpenRouter provider entry for openai/gpt-5.6-luna-pro via providers/openrouter/openai/gpt-5.6-luna-pro.yaml (auto-generated by the model-addition agent).
The config marks the model active and serverless, with chat mode, thinking enabled, and standard tool/API features (function calling, JSON/structured output, prompt caching). Pricing includes cache read/create token costs; limits are a 1.05M context window and 128k max output. Inputs support text, image, and PDF; output is text only.
Reviewed by Cursor Bugbot for commit 1ead349. Bugbot is set up for automated code reviews on this repo. Configure here.
Exponentiation is conventionally evaluated **right to left**, so
\[
3^3^3^3 = 3^{\left(3^{\left(3^3\right)}\right)}.
\]
Step by step:
1. Evaluate t
... (truncated, 440 chars omitted)
Exponentiation is conventionally evaluated **right to left**, so
\[
3^3^3^3=3^{\left(3^{\left(3^3\right)}\right)}.
\]
Step by step:
\[
3^3=27
\]
T
... (truncated, 406 chars omitted)
Exponentiation is conventionally evaluated **right to left**, so
\[
3^3^3^3 = 3^{\left(3^{\left(3^3\right)}\right)}.
\]
Step by step:
1. Evaluate t
... (truncated, 460 chars omitted)
Exponentiation is conventionally evaluated **right to left**, so
\[
3^3^3^3 = 3^{\left(3^{\left(3^3\right)}\right)}.
\]
Step by step:
\[
3^3=27
\]
... (truncated, 316 chars omitted)
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Auto-generated by model-addition-agent for
openrouter/openai/gpt-5.6-luna-pro.Note
Low Risk
Adds declarative model metadata only; no runtime, auth, or application logic changes.
Overview
Adds a new OpenRouter provider entry for
openai/gpt-5.6-luna-proviaproviders/openrouter/openai/gpt-5.6-luna-pro.yaml(auto-generated by the model-addition agent).The config marks the model active and serverless, with chat mode, thinking enabled, and standard tool/API features (function calling, JSON/structured output, prompt caching). Pricing includes cache read/create token costs; limits are a 1.05M context window and 128k max output. Inputs support text, image, and PDF; output is text only.
Reviewed by Cursor Bugbot for commit 1ead349. Bugbot is set up for automated code reviews on this repo. Configure here.