NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. Guardrails (or "rails" for short) are specific ways of controlling the output of an LLM, e.g., not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, etc.
Key Benefits:
- Building Trustworthy, Safe and Secure LLM Conversational Systems: The core value of
using NeMo Guardrails is the ability to write fuzzy rails to steer select conversations.
Developers can choose to define the behavior of their LLM-powered bots on certain
topics and keep their creativity un-encumbered for others!
- Connect models, chains, services, and more via actions: LLMs don't need to solve
all the challenges. NeMo Guardrails provides the ability to connect your codebase or
services to your chatbot seamlessly and securely!
Metadata
Release files for custom-guardrails 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| custom-guardrails-0.1.0.tar.gz | 13.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| custom_guardrails-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.4 MB
Release files / custom-guardrails-0.1.0.tar.gz
| Download URL | custom-guardrails-0.1.0.tar.gz |
|---|---|
| Size | 13.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
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Release files / custom_guardrails-0.1.0-py3-none-any.whl
| Download URL | custom_guardrails-0.1.0-py3-none-any.whl |
|---|---|
| Size | 13.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|