Add LLM usage and retry tracking for indexing stage

[june616]

Description

Add comprehensive LLM usage and retry tracking for the indexing stage, providing complete performance observability.

Related Issues

[Feature Request]: Enhance LLM usage logging in indexing workflows #2103

Proposed Changes

1. Data Structure Extensions

• Added to PipelineRunStats:
  • total_llm_retries: Total retry attempts across all workflows
  • llm_usage_by_workflow[workflow]["retries"]: Per-workflow retry count

2. Context Injection Mechanism

• Added inject_llm_context() helper function
• Centralized context injection in run_pipeline.py
• Propagated through ModelManager to all LLM models

3. Retry Tracking

• Added _record_retries() common method to Retry base class
• All retry strategies (Exponential, Native, Random, Incremental) record uniformly
• Used finally blocks to ensure both successful and failed retries are tracked

4. Enhanced Logging

• Output LLM usage (including retries) after each workflow
• Output total statistics after pipeline completion
• Added exception logging for context injection failures

Sample output in stats.json:

{
  "total_llm_calls": 20,
  "total_prompt_tokens": 104652,
  "total_completion_tokens": 9691,
  "total_llm_retries": 8,
  "llm_usage_by_workflow": {
    "extract_graph": {
      "llm_calls": 5,
      "prompt_tokens": 66766,
      "completion_tokens": 5757,
      "retries": 6
    }
  }
}

Checklist

I've validated the functionality with end-to-end indexing runs.

• I have tested these changes locally.
• I have reviewed the code changes.
• I have updated the documentation (if necessary).
• [N/A] I have added appropriate unit tests (if applicable).

Note: Both Linux and Windows smoke tests are failing with the same root cause: "ValidationError: API Key is required for chat when using api_key authentication". My changes do not affect configuration validation or authentication logic.

Additional Notes

[Add any additional notes or context that may be helpful for the reviewer(s).]

[june616]

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