Can You Tell Me About StrictJson: How It Compares to DSPY Signatures & Predict

JSON is a near universal format for data transfer on the internet. The LLMs like GPT-3.5 and 4 can provide output that match the JSON format. The key and values of the JSON output from the LLM is challenging to constraint. Libraries like StrictJSON and DSPy can help in controlling the output.
Chapter Navigation:
0:00 Intro
0:25 JSON Background & Rules
2:35 How JSON looks in Wild
5:10 List of JSON Points
6:15 Accessing Data in JSON
7:50 Application of JSON
9:30 Getting JSON W/o StrictJson
12:10 Controlling Key Values using StrictJson
13:00 Loading JSON String using JSON module
16:11 Comparing Str Json & Dictionary
18:33 Code Walkthrough of StrictJson
19:20 Strict_json Syntax & Output Explanation
21:30 Output Types of StrictJson
24:30 When StrictJson Fails
27:10 StrictJson Function Syntax Explanation
28:20 Extracting Data from Text
29:30 Breaking StrictJSON Output with Detailed Constraint
32:15 Extracting parts of paragraph as JSON
34:15 DSPy Intro
35:05 DSPy Code Walkthrough
35:30 JSON Output with Lesser Code
36:30 Comparing DSPy & StrictJSON
37:30 Testing Output in StrictJson
38:25 Used DSPy & StrictJSON interchangeably
39:15 Recap
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[@johntanchongmin]

I'm the creator of StrictJSON, thanks for featuring StrictJSON!
For the failure case of not an array type, it is because the prompt itself follows the JSON key quite closely. For case of array output, maybe just rename the key to "Array of models"
Another way to rectify this is to give some examples in the prompt of how you want the output to be, so that the LLM can better match it.

[@insightbuilder]

Hi John, thanks for providing clarity on the failure case. I will rework as you have suggested. Keep up the great work.

[@rossholland879]

Hi there.
Do you have any videos about DSPy Tool Calling / Function calling React ?