Update HolisticTraceAnalysis dependency to the traceinsight package

[tejadhith]

Summary

Chakra pins HolisticTraceAnalysis (HTA) to git commit d731cc2e in pyproject.toml, in both CI workflows (python_tests, end_to_end_tests), and in USER_GUIDE.md. That mid-2024 checkpoint predates HTA's pandas-2.x compatibility fix (HTA PR #333), so running chakra_trace_link on a real trace logs Critical path analysis encountered an invalid graph structure: Cannot specify both 'axis' and 'index'/'columns' and silently skips critical-path analysis.

HTA now publishes its releases to PyPI under the renamed distribution traceinsight (0.6.0 / 0.6.1); the importable module remains hta, so no source changes are needed. This PR replaces the pinned git checkout with the traceinsight package across pyproject.toml, both CI workflows, and USER_GUIDE.md — which also removes the manual clone/submodule/editable-install step from CI.

Test Plan

Environment: Python 3.13, torch 2.9.0+cu128, 2× V100; traceinsight 0.6.1, PARAM et_replay, networkx 3.6.1.

• Unit suite: python -m pytest tests → 117 passed (no regression).
• End-to-end, single-rank MLP: chakra_trace_link →
  • before (HTA 0.5.0): Cannot specify both 'axis' and 'index'/'columns', critical path skipped.
  • after (traceinsight 0.6.1): calculating critical path took 0.0027s, Linking process successful; chakra_converter → valid .et (115 COMP_NODE).
• End-to-end, 2-rank DDP/NCCL: link + convert succeed; .et = 154 COMP_NODE + 1 METADATA_NODE + 2 COMM_COLL_NODE (ncclDevKernel_AllReduce_…); critical path runs. No regression on comm-heavy traces.
• import hta still resolves (module name unchanged in traceinsight 0.6.x).

Additional Notes

• HTA's PyPI distribution was renamed HolisticTraceAnalysis → traceinsight at 0.6.x; the importable module stays hta. traceinsight only exists at 0.6.0+, so a bare requirement cannot resolve below the fix.
• No networkx change: the DiGraph.__new__ crash was specific to networkx 3.6.0 (networkx #8367) and is fixed in 3.6.1; nothing forces 3.6.0.
• A new mlc-chakra PyPI release is needed to propagate this to pip install mlc-chakra users.
• Refs: HTA PR #333 (pandas 2.x fix), networkx #8367.

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