Skip to main content

An open-source evaluation framework for voice agents

Project description

Calibrate

WhatsApp CC BY-SA 4.0

CLI for Calibrate: an AI evaluation platform for non-profits

With Calibrate, you can move from slow, manual testing to a fast, automated, and repeatable testing process for your entire agent stack:

  • Text to Text (LLMs): Evaluate the response quality and tool calling of your LLMs for multi-turn conversations and find the find LLM for your agent
  • Human alignment: Create LLM judges to make your evaluations scalable and reliable with human in the loop.
  • Speech to Text (STT): Benchmark multiple providers (Google, Sarvam, ElevenLabs and more) on your dataset across 10+ indic languages using metrics optimised for agentic use cases
  • Text to Speech (TTS): Benchmark generated speech by multiple providers automatically using an Audio LLM Judge across 10+ indic languages
  • Simulations: Simulate realistic conversations using realistic user personas and scenarios to test failure modes for your agent (including interruptions for voice agents)

Calibrate is built on top of pipecat, a framework for building agents.

Installation

pip install calibrate-agent

Usage

calibrate              # Interactive main menu
calibrate stt          # Benchmark STT providers
calibrate tts          # Benchmark TTS providers
calibrate llm          # Interactive LLM evaluation
calibrate simulations  # Interactive text or voice simulations

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

CC BY-SA 4.0

Project details


Download files

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

Source Distribution

calibrate_agent-0.0.27.tar.gz (17.7 MB view details)

Uploaded Source

Built Distribution

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

calibrate_agent-0.0.27-py3-none-any.whl (590.9 kB view details)

Uploaded Python 3

File details

Details for the file calibrate_agent-0.0.27.tar.gz.

File metadata

  • Download URL: calibrate_agent-0.0.27.tar.gz
  • Upload date:
  • Size: 17.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for calibrate_agent-0.0.27.tar.gz
Algorithm Hash digest
SHA256 414822f74fb8e22d735f2b203c02d8488e18422300c17e0f643a7ea57f0866e1
MD5 15682772c62c2f71ba289836d671484f
BLAKE2b-256 8fa2269a4027e0f98f1aaae2e290618b34b2f2f4498a786f14d95236298ab866

See more details on using hashes here.

Provenance

The following attestation bundles were made for calibrate_agent-0.0.27.tar.gz:

Publisher: publish.yml on ARTPARK-SAHAI-ORG/calibrate

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file calibrate_agent-0.0.27-py3-none-any.whl.

File metadata

File hashes

Hashes for calibrate_agent-0.0.27-py3-none-any.whl
Algorithm Hash digest
SHA256 1e97663f5e43d8c9219bcfc50b49eecb5d2da933036b5f13e221946528548e68
MD5 ffd97fd50d0fdd219f0d390bd4157afd
BLAKE2b-256 263dea998816b1d1f7f6f5f1ccf33182f46ccf388dbc3e46885ea25a88b55f6d

See more details on using hashes here.

Provenance

The following attestation bundles were made for calibrate_agent-0.0.27-py3-none-any.whl:

Publisher: publish.yml on ARTPARK-SAHAI-ORG/calibrate

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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