Skip to main content

An open-source evaluation framework for voice agents

Project description

Calibrate

CC BY-SA 4.0

An open-source evaluation framework for voice agents.

Discord WhatsApp

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

  • 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
  • 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
  • Simulations: Simulate realistic conversations using realistic user personas and scenarios to test failure modes for your agent including interruptions

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

Installation

pip install calibrate-agent

Usage

Calibrate can be used as a Python SDK or through the CLI.

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-0.0.2.tar.gz (464.0 kB view details)

Uploaded Source

Built Distribution

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

calibrate_agent-0.0.2-py3-none-any.whl (482.2 kB view details)

Uploaded Python 3

File details

Details for the file calibrate_agent-0.0.2.tar.gz.

File metadata

  • Download URL: calibrate_agent-0.0.2.tar.gz
  • Upload date:
  • Size: 464.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for calibrate_agent-0.0.2.tar.gz
Algorithm Hash digest
SHA256 9f5da5124670ec820430944c82148b1447a5c6429852f4834afae883e1129b96
MD5 40e6cbef7833a2f59acedad9e929f58b
BLAKE2b-256 e3615cdabb7ebc7fbeecb87caf6cc0b98dbc7f9896e408587b41bbee55bdf7d3

See more details on using hashes here.

Provenance

The following attestation bundles were made for calibrate_agent-0.0.2.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-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for calibrate_agent-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b1e72562d3896d69cc34482681a93c937d83ab76d39b13d0bd67fa1dcbdac1d6
MD5 da4e797059e4b5a56335c830b074af41
BLAKE2b-256 f76502e423a09a4bcf25a1368d1f0bbe08d1e274d080cfaa149730e706626eb0

See more details on using hashes here.

Provenance

The following attestation bundles were made for calibrate_agent-0.0.2-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