Metadata-Version: 2.1
Name: guardrails-api
Version: 0.0.0a3
Summary: Guardrails API
Author-email: Guardrails AI <contact@guardrailsai.com>
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Keywords: Guardrails,Guardrails AI,Guardrails API,Guardrails API
Requires-Python: >=3.8, <4
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: guardrails-ai>=0.5.0a2
Requires-Dist: flask<4,>=3.0.3
Requires-Dist: Flask-SQLAlchemy<4,>=3.1.1
Requires-Dist: Flask-Caching<3,>=2.3.0
Requires-Dist: Werkzeug<4,>=3.0.3
Requires-Dist: jsonschema<5,>=4.22.0
Requires-Dist: referencing<1,>=0.35.1
Requires-Dist: Flask-Cors<5,>=4.0.1
Requires-Dist: boto3<2,>=1.34.115
Requires-Dist: psycopg2-binary<3,>=2.9.9
Requires-Dist: litellm<2,>=1.39.3
Requires-Dist: typer<1,>=0.9.4
Requires-Dist: opentelemetry-api<2,>=1.0.0
Requires-Dist: opentelemetry-sdk<2,>=1.0.0
Requires-Dist: opentelemetry-exporter-otlp-proto-grpc<2,>=1.0.0
Requires-Dist: opentelemetry-exporter-otlp-proto-http<2,>=1.0.0
Requires-Dist: opentelemetry-instrumentation-flask<1,>=0.12b0
Provides-Extra: dev
Requires-Dist: ruff; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: coverage; extra == "dev"
Requires-Dist: pytest-mock; extra == "dev"
Requires-Dist: gunicorn<23,>=22.0.0; extra == "dev"

# guardrails-poc
Docker compose stub of Guardrails as a Service

## Setting Up
We strongly encourage you to use a virtual environment when developing in python.
To set one up for this project run the following:
```bash
python3 -m venv ./.venv
source ./.venv/bin/activate
```
Your terminal should now show that you are working from within the virtual environment.
Now you can install the dependencies:
```bash
make install
```

And start the dev server:
```bash
make start
```

Once the service has launched, you should be able to navigate to the Swagger documenation for the guardrails-api at http://localhost:8000


### Local Infrastructure
By default, the server will start with an in-memory store for Guards.  As of June 4th, 2024 this store does not support write operations via the API.  In order to utilize all CRUD operations you will need a postgres database running locally and you will need to provide the following environment variables (sane defaults included for demonstration purposes):

```sh
export PGPORT=5432
export PGDATABASE=postgres
export PGHOST=localhost
export PGUSER=${PGUSER:-postgres}
export PGPASSWORD=${PGPASSWORD:-changeme}
```

You can create this database however you wish, but we do have a docker-compose configuration to stand up the database as well as a local opentelemetry stack.
To use this make sure you have docker installed, then run:

`docker compose --profile db up --build`
to run just the database.

`docker compose --profile infra up --build`
to run the database and opentelemetry infrastructure

or
`docker compose --profile all up --build`
to run everything including the guardrails-api


The last option is useful when checking that everything will work as planned in a more productionized environment.  When developing, it's generally faster to just run the minimum infrastructure you need via docker and run the api on a bare process with the `make start` command.
