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Multimodal orchestration for LLM APIs

You describe what to analyze. Pollux handles source patterns, context caching, and the multimodal plumbing.

Get started API reference 
from pollux import run, Config, Source

result = await run(
    "Summarize the key findings",
    source=Source.from_file("paper.pdf"),
    config=Config(
        provider="gemini",
        model="gemini-2.5-flash-lite",
    ),
)
print(result["answers"][0])

Multimodal-first

PDFs, images, video, YouTube, arXiv. One interface, any source type.

Source patterns

Fan-out, fan-in, and broadcast execution over your content. No boilerplate.

Context caching

Upload once, reuse across prompts. Automatic TTL management saves tokens and money.

Built for reliability

Async pipeline, retries with backoff, structured output, usage tracking. 

pip install pollux-ai