promptum 0.0.7

Async LLM benchmarking library with protocol-based extensibility

promptum

Test LLMs Like a Pro.

Stop writing boilerplate to test LLMs. Start getting results.

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What's This?

You're choosing between GPT-4, Claude, and Gemini for your product. You need to know which one actually handles your prompts better — not some generic benchmark, but your real tasks, your edge cases, your expected formats.

promptum turns that into a few lines of Python. One client for 100+ models, automatic retries, latency/cost/token tracking, structured validation — all async, all typed, zero config files.

session = Session(provider=client, name="my_test")
session.add_test(Prompt(
    name="basic_math",
    prompt="What is 2+2?",
    model="openai/gpt-3.5-turbo",
    validator=Contains("4"),
))
report = await session.run()
summary = report.get_summary()

No YAML. No inheritance hierarchies. Just Python you can read in 30 seconds.

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Quick Start

pip install promptum  # (or: uv pip install promptum)
export OPENROUTER_API_KEY="your-key"

import asyncio
from promptum import Session, Prompt, OpenRouterClient, Contains

async def main():
    async with OpenRouterClient(api_key="your-key") as client:
        session = Session(provider=client, name="quick_test")

        session.add_test(Prompt(
            name="basic_math",
            prompt="What is 15 * 7? Reply with just the number.",
            model="openai/gpt-3.5-turbo",
            validator=Contains("105"),
        ))

        report = await session.run()
        summary = report.get_summary()

        print(f"Passed: {summary.passed}/{summary.total}")
        print(f"Avg latency: {summary.avg_latency_ms:.0f}ms")
        print(f"Total cost: ${summary.total_cost_usd:.6f}")

asyncio.run(main())

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Why promptum?

Most LLM testing is ad-hoc scripts that grow into unmaintainable messes. You end up with separate API clients per provider, hand-rolled retry logic, manual latency tracking, and validation scattered across files.

promptum replaces all of that with a single coherent API:

• 100+ Models via OpenRouter — one client for OpenAI, Anthropic, Google, and more
• Smart Validation — ExactMatch, Contains, Regex, JsonSchema, or write your own
• Automatic Retries — exponential/fixed-delay backoff with configurable attempts
• Metrics Tracking — latency, tokens, cost — automatically captured
• Async by Default — run tests in parallel with concurrency control
• Protocol-Based — extend with custom providers and validators, no inheritance needed
• Type Safe — full type hints, catches errors before runtime

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Documentation

• Session & Testing — Session, Prompt, Report, Summary, TestResult
• Providers — LLMProvider protocol, OpenRouterClient, Metrics, Retry, Exceptions
• Validation — Validator protocol, ExactMatch, Contains, Regex, JsonSchema

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Requirements

• Python 3.13+
• An OpenRouter API key (or implement your own provider)

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Contributing

Found a bug? Want a feature? PRs welcome!

git clone https://github.com/deyna256/promptum.git
cd promptum
just sync       # Install dependencies
just test       # Run tests
just lint       # Check code style
just format     # Format code
just typecheck  # Type checking

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License

MIT - do whatever you want with it.

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Star on GitHub | Report Bug | Request Feature

Made for developers who value their time.