Hegel AI

Try PromptTools

Teams can use our open-source SDK and playground to:

Develop prompts, models, pipelines with experiments

Monitor in production, gather custom metrics

Use feedback to improve prompts over time

Evaluate systems with multiple approaches

Annotate responses with human-in-the-loop

Use LLMs for auto-evaluation

Run evaluation functions in code

Measure, monitor, and improve your generative AI applications

Hegel AI is building a developer platform for large language model (LLM) applications.

Backed by:

Github

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Book a demo to join our private beta and learn more about our platform:

You can use PromptTools in code, notebooks, and a playground.

PromptTools is our open-source platform for building LLM applications.

Experiment with prompts, models, and retrieval pipelines
Monitor LLM systems in production, evaluate responses online
Improve prompts over time with evaluations and customer feedback

We support integrations with almost every LLM, vector database, and framework including:

Integrations

LLMs

Vector DBs

Frameworks

🦜🔗

We're happy to support LLM use cases across industries and company sizes, with customers and users including:

Users

from prompttools.experiment import OpenAIChatExperiment

messages = [
    [{"role": "user", "content": "Tell me a joke."},],
    [{"role": "user", "content": "Is 17077 a prime number?"},],
]

models = ["gpt-3.5-turbo", "gpt-3.5-turbo-0613"]
temperatures = [0.0]
openai_experiment = OpenAIChatExperiment(models, messages, temperature=temperatures)
openai_experiment.run()
openai_experiment.visualize()

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