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Decision brief
Fiddler Auditor is an evaluation tool for assessing the robustness and reliability of language models prior to their deployment in production.
Good fit when
- When you need to perform red-teaming exercises on your LLM using prompt perturbation specific to your use-case
- For custom evaluation metrics that can be aligned with the specifics of your business requirements or project goals
Avoid when
- When standard evaluation methods suffice and you do not need advanced red-team testing tailored to your specific use-case
- If the project does not require or benefit from custom evaluation metrics that address niche concerns beyond general model performance
- Pricing:
- unknown - The pricing information for Fiddler Auditor is not specified in the repository data provided.
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (874d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install fiddler-auditorSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Fiddler Auditor is an evaluation tool designed for auditing the robustness and reliability of large language models (LLMs) and natural language processing (NLP) models before deployment in production.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 2, 2026)
- Integration with LangChainSource link
Source: README excerpt (regex_v1, Aug 2, 2026)
Auditor is available on PyPI and we test on Python 3.8 and above. We recommend creating a virtual python environment and installing usSource link
Tags
README
Auditing Large Language Models made easy!
What is Fiddler Auditor?
Language models enable companies to build and launch innovative applications to improve productivity and increase customer satisfaction. However, it’s been known that LLMs can hallucinate, generate adversarial responses that can harm users, and even expose private information that they were trained on when prompted or unprompted. It's more critical than ever for ML and software application teams to minimize these risks and weaknesses before launching LLMs and NLP models. As a result, it’s important for you to include a process to audit language models thoroughly before production. The Fiddler Auditor enables you to test LLMs and NLP models, identify weaknesses in the models, and mitigate potential adversarial outcomes before deploying them to production.
Features and Capabilities
Fiddler Auditor supports
- Red-teaming LLMs for your use-case with prompt perturbation
- Integration with LangChain
- Custom evaluation metrics
- Generative and Discriminative NLP models
- Comparison of LLMs
An example report generated by the Fiddler Auditor for text-davinci-003.
Installation
From PyPI
Auditor is available on PyPI and we test on Python 3.8 and above. We recommend creating a virtual python environment and installing using the following command
pip install fiddler-auditor
From source
You can install from source after cloning this repo using the following command
pip install .
Quick-start guides
- Fiddler Auditor Quickstart
- Evaluate LLMs with custom metrics
- Prompt injection attack with custom transformation
Contribution
We are continuously updating this library to support language models as they evolve.
- Contributions in the form of suggestions and PRs to Fiddler Auditor are welcome!
- If you encounter a bug, please feel free to raise issues in this repository.
For step-by-step instructions follow the Contribution Guide.
Community
- For questions and support, join the Fiddler Community
- Discover the latest guides, videos, and research with the Fiddler Resources Library
- Stay informed by following us on Twitter
- Subscribe to our monthly newsletter
- Request a demo
For agents
This page has a .md twin and JSON over the API.