Endpoint for organic chat tasks converted from instruct datasets

[besimray]

High-level PR Summary

This PR implements functionality to convert instruct-style datasets to chat format tasks. It introduces a new endpoint and data model for creating chat tasks from instruction datasets. The implementation includes a new payload model NewTaskRequestInstructToChat that captures the necessary parameters for conversion, a new API endpoint /v1/tasks/create_chat_from_instruct, and associated functionality to transform the data format. The conversion process extracts input and output fields from instruct datasets and reformats them into standard chat message format with proper user and assistant roles.

⏱️ Estimated Review Time: 5-15 minutes

💡 Review Order Suggestion

Order	File Path
1	core/models/payload_models.py
2	validator/endpoints/tasks.py
3	validator/tasks/synthetic_scheduler.py

⚠️ Inconsistent Changes Detected

File Path	Warning
validator/tasks/synthetic_scheduler.py	A change in this file modifies the task type from CHATTASK to INSTRUCTTEXTTASK in the dataset selection function, which seems unrelated to the main PR purpose of converting instruct datasets to chat format.

Review by RecurseML

🔍 Review performed on 96c4563..9706c71

✨ No bugs found, your code is sparkling clean

✅ Files analyzed, no issues (3)

• validator/endpoints/tasks.py
• core/models/payload_models.py
• validator/tasks/synthetic_scheduler.py