KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #ai-agent #developer-tools #codex #typescript #cli #deepseek-harness #claude-code #ai-agents #mcp #rust

lightningrod-python-sdk

★ 57 Open GitHub ↗

Better AI Predictions ⚡

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

![](https://github.com/user-attachments/assets/66056c7a-6c6e-4040-a1a0-9852f709a0c5)

# Lightning Rod Python SDK

**Foresight** returns a calibrated probability for any question about the future through an OpenAI-compatible API.

**Trusted for high-stakes predictions** by Numinous, Shore Capital Partners, Awardable, ERIS Marketplace, and others. Foresight processes **billions of tokens** and serves **100k+ inference requests every day**.

[Documentation](https://docs.lightningrod.ai/) · [Get an API key](https://dashboard.lightningrod.ai/sign-up?redirect=/api) · [Research paper](https://arxiv.org/abs/2601.06336)

## ⚡ Better AI Predictions

Foresight is served behind an OpenAI-compatible endpoint, so any OpenAI client works — just point `base_url` at Lightning Rod.

```python
from openai import OpenAI

client = OpenAI(
    api_key="your-api-key",
    base_url="https://api.lightningrod.ai/v1/openai",
)

completion = client.chat.completions.create(
    model="foresight-v4",
    messages=[
        {"role": "user", "content": "Will the Fed cut rates at its next meeting?"},
    ],
    extra_body={"research": True}, # Auto research the most relevant prediction context
)

print(completion.choices[0].message.content)
```

See the [forecasting guides](https://docs.lightningrod.ai/forecasting/guides) for how to write good forecasting prompts.

### Prefer an SDK helper?

`lr.predict()` wraps the same API and parses the structured answer for you:

```bash
pip install lightningrod-ai
```

```python
import lightningrod as lr

client = lr.LightningRod(api_key="your-api-key")
result = client.predict(
    "Will the Fed cut interest rates in 2026?",
    answer_type="binary",
    research=True,
)
print(result.binary.probability)
```

## 🏗️ Train an expert on your domain

Need a model tuned to your domain? Our platform turns raw sources into labeled datasets and fine-tuned models. Read the [Future-as-Label paper](https://arxiv.org/abs/2601.06336) or view public models and datasets on [Hugging Face](https://huggingface.co/LightningRodLabs).

[**📅 Book a call with us**](https://calendly.com/d/ctq4-7gd-nyq/lightning-rod-demo)

## 📚 Learn more

- [Documentation & API reference](https://docs.lightningrod.ai/) — quickstart, guides, recipes, and the REST API reference
- [Quickstart notebook](notebooks/quickstart.ipynb) — OpenAI-compatible client and `lr.predict()`, side by side (runnable in Colab)

lightningrod-python-sdk

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README