🚀 Feat: pipeline execution constraints + adapt pydantic objects

[nicofretti]

Description

• New lib/entities/pipeline.py module with Pydantic models: ExecutionResult, Constraints, and Usage
• Constraint enforcement in two paths: multiplier pipelines (workflow.py) and normal pipelines (job_processor.py)
• Storage layer migration from dicts to PipelineRecord and Job Pydantic models
• Frontend UI for setting constraints and displaying usage stats with theme-compatible styling
• Comprehensive test coverage for constraint enforcement (13 new tests in test_constraints.py)

Related Issue

• closes 🚀 Feat: pipeline execution constraints #42

Checklist

• Code follows project style guidelines
• Comments explain "why" not "what"
• Documentation updated (if needed)
• No debug code or console statements
• make format passes
• make pre-merge passes
• PR update from develop branch
• Copilot review run and addressed

[Copilot]

Pull request overview

This PR introduces pipeline execution constraints (token limits, execution time limits) and migrates storage/API responses from dict-based to Pydantic-based data models for better type safety and structure.

Key Changes:

• New lib/entities/pipeline.py module with Pydantic models: ExecutionResult, Constraints, and Usage
• Constraint enforcement in two paths: multiplier pipelines (workflow.py) and normal pipelines (job_processor.py)
• Storage layer migration from dicts to PipelineRecord and Job Pydantic models
• Frontend UI for setting constraints and displaying usage stats with theme-compatible styling
• Comprehensive test coverage for constraint enforcement (13 new tests in test_constraints.py)

Reviewed changes

Copilot reviewed 33 out of 33 changed files in this pull request and generated 11 comments.

Show a summary per file

File	Description
lib/entities/pipeline.py	New Pydantic models for execution results, constraints, and usage tracking
lib/workflow.py	Updated to return ExecutionResult, added constraint checking for multiplier pipelines
lib/job_processor.py	Added constraint checking for normal pipelines, usage accumulation
lib/storage.py	Migrated from dict returns to PipelineRecord/Job Pydantic models
lib/job_queue.py	Added usage tracking initialization, JSON parsing for usage updates
models.py	New Job and PipelineRecord Pydantic models
app.py	Updated endpoints to work with Pydantic models
tests/test_constraints.py	Comprehensive constraint enforcement tests (729 lines)
tests/test_*.py	Updated assertions to use ExecutionResult instead of tuple unpacking
frontend/*	UI for constraints configuration and usage display with proper theme variables
llm/*.md	Updated documentation for new constraint feature
debug_pipeline.py	Updated to use new Pydantic model (incomplete)

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