Google / Model reference

Gemini 2.5 Pro

Name: Gemini 2.5 Pro
Author: Google

Google's state-of-the-art thinking model, capable of reasoning over complex problems in code, math, and STEM, as well as analyzing large datasets, codebases, and documents using long context.

See the code

Model IDgemini-2.5-pro

What it can do.

Streaming

celeste.text.generateGenerate text

celeste.images.analyzeUnderstand media

celeste.audio.analyzeUnderstand media

celeste.videos.analyzeUnderstand media

Parameters.

Supported controls from Celeste’s model registry. Values and availability differ between models.

Gemini 2.5 Pro parameters and constraints
Parameter	Accepted values
`temperature`	0 – 2
`max_tokens`	1 – 65536
`thinking_budget`	128 – 32768Also accepts: -1
`tools`	List of tool definitions
`output_schema`	Pydantic BaseModel
`image`	Image artifacts
`video`	videos
`audio`	audio

Start with a few lines

Put it to work.

Use your provider credentials. Call the model through the SDK and build around its output.

import celeste
response = await celeste.text.generate(
    model="gemini-2.5-pro",
    prompt="Write a project brief for a neighborhood repair café."
)
print(response.content)

This example uses text.generate. Explore the quickstart for installation and authentication.