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MQ-Watsonx-bridge

A very simple bridge program that consumes messages from IBM MQ and sends them to a Watsonx prompt lab. It was created for a demo published in the blog post Link TBC.

It could be adapted for other uses.

Currently it connects to a queue manager called QM1 running on localhost:1414 via channel IN and consumes messages from the queue STREAMED. It wraps them in a prompt:

The following is a SWIFT MT103 message. Summarize it telling me the name of the sending account holder, receiving account holder, money sent, transaction date and currency. Do not provide additional information. \n\n<...SNIP 3 examples...>\n\nInput: <message string> \nOutput:

and then sends it to the IBM watsonx.ai prompt lab to be processed with the model ibm/granite-13b-chat-v2. The response is trimmed to only the first line and printed to standard out.

The program will loop until the enter key is pressed.

Building the demo program

To build the java program you must have access to the IBM MQ java libraries. It is then built using:

$ cd src\watsonxmq
$ javac *.java

IBM MQ configuration

The demo program makes an assumption about the IBM MQ queue manager configuration. It will connect to a queue manager running on localhost:1414 using channel IN. It will not provide a TLS connection or user credentials. Once connected it will access the following queue. STREAMED.

Demo program usage

The demo program is ran by the following command, you must have access to the IBM MQ java libraries:

$ cd src 
$ java -cp ".;<path to IBM MQ install>\java\lib\com.ibm.mq.allclient.jar" watsonxmq.Main

Example output

Unfortunately i ran out of tokens have have not captured output. I will return next month once my tokens allowance resets.

Health Warning

These programs are provided as-is with no guarantees of support or updates. There are also no guarantees of compatibility with any future versions of IBM MQ of IBM Watsonx.

Issues

For feedback and issues relating specifically to this package, please use the GitHub issue tracker.

Copyright

Copyright Rob Parker 2024