Skip to main content

Framework-agnostic LLM agent evaluation harness

Project description

EvalForge Python SDK

pip install evalforge

Quick Start

import evalforge result = evalforge.run("trace.json", metrics=["faithfulness"]) print(result.passed) print(result.metrics[0].score)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

evalforge-0.1.1-py3-none-macosx_11_0_arm64.whl (1.6 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

File details

Details for the file evalforge-0.1.1-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for evalforge-0.1.1-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 68f73d76846c1b7f4f501fa542e4ed27078c08f6ca37d8f31d7eac7316a638b4
MD5 ec66e9542d1fb5fc8c17d6ede60e03c6
BLAKE2b-256 d3e73f4309a7a608344b94ffd91773a31899b81b0c611e57d062b814cfab8808

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page