This policy was created with the Flex Gateway Policy Development Kit (PDK). To find the complete PDK documentation, see PDK Overview on the MuleSoft documentation site.
The component has the following properties
| Property | Description | Type |
|---|---|---|
openai-api-key |
Allows you to input an OpenAI API Key | String |
When calling the OpenAI API you will need to include the key in the policy configuration setup.
However, with Flex gateway being used and openai.api.com as the upstream api we can intercept the request and dynamically inject the key from the configuration on the policy. In the example below we have assumed you have flex gateway deployed locally.
No need for the "Authorization: Bearer $OPENAI_API_KEY"
> curl http://localhost:8081/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "system",
"content": "You are an assistant, skilled in explaining MuleSoft concepts with creative flair. Keep responses free from bias and without obsenities"
},
{
"role": "user",
"content": "create a poem about Flex Gateway in less than 20 words"
}
]
}'
These setup steps use Flex Gateway in connected mode running locally on a Mac. Make sure you have docker desktop installed.
Step 1. Open Anypoint Platform and head to Runtime Manager. Select Flex Gateways then choose Container -> Docker.
Step 2. Pull the flex gateway image and start the gateway on port 8081.
a) Pull the latest image
docker pull mulesoft/flex-gateway
b) Create a new directory then register the Flex Gateway to Anypoint Platform replacing gateway-name with your own value.
docker run --entrypoint flexctl -u $UID \
-v "$(pwd)":/registration mulesoft/flex-gateway \
registration create --organization=adfa825c-fc0d-4ba3-a5ba-ab35a7194a39 \
--token=8eb976e5-9ab1-4048-bdd6-89504008632a \
--output-directory=/registration \
--connected=true \
<gateway-name>
c) Start the gateway
docker run --rm \
-v "$(pwd)":/usr/local/share/mulesoft/flex-gateway/conf.d \
-p 8081:8081 \
mulesoft/flex-gateway
Step 3. Head to API Manager in Anypoint. Select Add API -> Add new API.
Step 4. Make sure Flex Gateway is selected as the runtime then select the Flex Gateway you created in Step 2. Click Next.
Step 5. Select Create new API. Choose OpenAI API as the name and and open-ai-api as the asset id. Click Next.
Step 6. Select Port 8081 and change the base path to /flex-api. Click Next.
Step 7. Enter https://openai.api.com/v1 as the upstream URL
Test the configuration by calling the Flex Gateway endpoint to see that you get a response from OpenAI. Note that since we don't include the OpenAI API key we will get a 401 unauthorised at this stage. Note that you will need to restrict the response payload so use terms like 'in less than 20 words' to get OpenAI to return a consumable response.
curl -X POST http://localhost:8081/flex-api/chat/completions -H "Content-Type: application/json" -d '{
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "system",
"content": "You are an assistant, skilled in explaining MuleSoft concepts with creative flair. Keep responses free from bias and without obsenities."
},
{
"role": "user",
"content": "Compose a poem in less than 10 words."
}
]
}'
Step 8. After downloading the policy use make build then make release.
Step 9. Apply the policy in API Manager to the API created in Step 3. In the openai-api-key section enter a valid key from OpenAI.
Step 10. Verify that the policy now successfully gets a response.
This project has a Makefile that includes different goals that assist the developer during the policy development lifecycle.
For more information about the Makefile, see Makefile.
The make setup goal installs the Policy Development Kit internal dependencies for the rest of the Makefile goals.
Since these dependencies are provided by the Anypoint Platform, it requires the user to be authenticated with a set of valid Anypoint credentials.
For more information about make setup, see Setup the PDK Build environment.
The make build-asset-files goal generates all the policy asset files required to build, execute, and publish the policy. This command also updates the config.rs source code file with the latest configurations defined in the policy definition.
For more information about creating a policy definition, see Defining a Policy Schema Definition.
For more information about make build-asset-files, see Compiling Custom Policies.
The make build goal compiles the WebAssembly binary of the policy.
Since the source code must be in sync with the policy definition configurations, this goal runs the build-asset-files before compiling.
For more information about make build, see Compiling Custom Policies.
The make run goal provides a simple way to execute the current build of the policy in a Docker containerized environment. In order to run this goal, the playground/config directory must contain a set of files required for executing the policy in a Flex Gateway instance:
-
A
registration.yamlfile generated by performing a Flex Gateway registration in Local Mode. If you already have an instance registered in Local mode, you can reuse the registration file you have and copy it in theplayground/configfolder. Otherwise, to complete the registration we recommend using the Anypoint Platform:- Go to
Runtime Manager - Navigate to the
Flex Gatewaytab - Click the
Add Gatewaybutton - Select
Dockeras your OS and copy the registration command replacing--connected=trueto--connected=false. - Paste the command and run it in the
playground/configdirectory.
- Go to
-
An
api.yamlfile updated with the desired policy configuration. This file also supports adding other policies to be applied along the one being developed.
The playground/config directory can also contain other resource definitions, such as accessory services used by the policy (Eg. a remote authentication service).
For more information about make run, see Debugging Custom Policies Locally with PDK.
The make test goal runs unit tests and integration tests. Integration tests are placed in the tests directory and are configured with the files placed at the
tests/<module-name>/<test-name> directory.
For more information about writing integration tests, see Writing Integration Tests.
The make publish goal publishes the policy asset in Anypoint Exchange, in your configured Organization.
Since the publish goal is intended to publish a policy asset in development, the assetId and name published will explicitly say dev, and the versions published will include a timestamp at the end of the version. Eg.
- groupId: your configured organization id
- visible name: {Your policy name} Dev
- assetId: {your-policy-asset-id}-dev
- version: {your-policy-version}-20230618115723
For more information about publishing policies, see Uploading Custom Policies to Exchange.
The make release goal also publishes the policy to Anypoint Exchange, but as a ready for production asset. In this case, the groupId, visible name, assetId and version will be the ones defined in the project.
For more information about releasing policies, see Uploading Custom Policies to Exchange.
The PDK provides provides a set of example policy projects to get started creating policies and using the PDK features. To learn more about these examples see Custom policy Examples.



