[SurajsinghBayas]

Fixes the LlamaIndex import problem listed under "Related problems" in #4689. That issue's instruments metadata mismatch is being handled separately, and this PR doesn't touch it.

Problem

custom_llm_instrumentor.py runs import llama_index.llms at module level. llama_index.llms is a namespace package that only exists once some llama-index-llms-* integration is installed. With only llama-index-core installed, importing opentelemetry.instrumentation.llamaindex fails:

ModuleNotFoundError: No module named 'llama_index.llms'

Traceloop.init() swallows this in a try/except, so the user just gets no LlamaIndex spans and no error.

Fix

• Remove the module-level import llama_index.llms.
• Import it lazily in CustomLLMInstrumentor.instrument() (the only place it's used). When it's missing, there are no custom LLM classes to wrap, so instrument() returns early.
• Hoist MODULE_NAME, which was the same in both branches of the try/except.

There's no behavior change when an LLM integration is installed.

Tests

• New tests/test_custom_llm_lazy_import.py hides llama_index.llms with a meta-path finder (simulating a llama-index-core-only environment). It then imports the instrumentation and calls CustomLLMInstrumentor.instrument(). It runs in a subprocess so the hidden package can't leak into other tests.
• The new test fails on main with No module named 'llama_index.llms' and passes with this change.
• Full package suite: 272 passed (Python 3.12). ruff check is clean.

---

• I have added tests that cover my changes.
• If adding a new instrumentation or changing an existing one, I've added screenshots from some observability platform showing the change. — N/A: this is an import-time fix with no change to emitted spans.
• PR name follows conventional commits format: feat(instrumentation): ... or fix(instrumentation): ....
• (If applicable) I have updated the documentation accordingly. — N/A

🤖 Generated with Claude Code

Summary by CodeRabbit

• Bug Fixes
  • The LlamaIndex instrumentation can now be loaded when its LLM integrations are unavailable. In that case, instrumentation is skipped, allowing applications to start without those integrations. Missing dependencies elsewhere are still reported rather than silently ignored.
• Tests
  • Added coverage for loading without LLM integrations and for reporting errors when an installed integration has a missing dependency.

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[coderabbitai]

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Walkthrough

The instrumentor now imports llama_index.llms when instrument() runs. It returns if that namespace is missing and re-raises ModuleNotFoundError for other missing modules. Subprocess tests cover both cases.

Changes: LlamaIndex LLM lazy import

Layer / File(s)	Summary
Defer the LLM namespace import packages/opentelemetry-instrumentation-llamaindex/opentelemetry/instrumentation/llamaindex/custom_llm_instrumentor.py, packages/opentelemetry-instrumentation-llamaindex/tests/test_custom_llm_lazy_import.py	MODULE_NAME is defined independently of the CustomLLM import fallback. instrument() imports llama_index.llms when called, returns if the namespace is missing, and re-raises errors for other missing modules. Subprocess tests cover both cases.

Estimated code review effort: 2 (Simple) | ~10 minutes

Change: Bug fix

Possibly related issues

• traceloop/openllmetry#4689: The change defers the llama_index.llms import. The issue’s separate instruments metadata mismatch is not addressed.

Suggested reviewers: nirga

Merge Risk: Minimal · up to 1450d

The lazy-import change has no identified issue that needs resolution before merging.

Pre-merge checks: 5

Check name	Status	Explanation
Description Check		Check skipped - CodeRabbit’s high-level summary is enabled.
Title check		The title clearly describes the lazy import and its purpose.
Docstring Coverage		Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documentat…
Linked Issues check		Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check		Check skipped because no linked issues were found for this pull request.

Full details: Docstring Coverage

Explanation

Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documentation-only edits and deletions within surviving functions are included; unchanged diff context and fully deleted functions are excluded. Analyzed 1 functions across 2 files.

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Files selected for processing: 2

• packages/opentelemetry-instrumentation-llamaindex/opentelemetry/instrumentation/llamaindex/custom_llm_instrumentor.py
• packages/opentelemetry-instrumentation-llamaindex/tests/test_custom_llm_lazy_import.py

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Actionable comments posted: 1

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Prompt to fix all issues

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Inline comments:
Review comments at
@packages/opentelemetry-instrumentation-llamaindex/opentelemetry/instrumentation/llamaindex/custom_llm_instrumentor.py:
- Around line 52-53: Update the custom LLM import handler to return only when
the missing module name in ModuleNotFoundError matches MODULE_NAME; re-raise the
exception for other missing dependencies so import failures remain visible.

---

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Write docstrings for the functions missing them to satisfy the coverage
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Files selected for processing: 2

• packages/opentelemetry-instrumentation-llamaindex/opentelemetry/instrumentation/llamaindex/custom_llm_instrumentor.py
• packages/opentelemetry-instrumentation-llamaindex/tests/test_custom_llm_lazy_import.py

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[SurajsinghBayas]

@doronkopit5 could you take a look when you have a moment? This covers the llamaindex lazy-import item from #4689, which you reported. The instruments metadata mismatch from that issue is left for the separate fix. CodeRabbit's feedback is addressed, and all checks are green. Thanks!