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@nirga nirga commented Sep 3, 2025

Summary

• Fixes inconsistent content serialization in OpenTelemetry attributes that was causing type warnings
• Previously only dict types were serialized to JSON, but lists and other non-string types could still cause "Invalid type dict in attribute" warnings
• Now all non-string content is consistently serialized using json.dumps() before being set as span attributes

Test plan

  • Existing test test_dict_content_serialization passes
  • All openai-agents package tests pass
  • No more OpenTelemetry attribute type warnings for complex content structures

🤖 Generated with Claude Code


Important

Fixes content serialization in OpenTelemetry attributes by JSON-serializing all non-string types in _hooks.py.

  • Behavior:
    • Fixes inconsistent content serialization in on_span_end() in _hooks.py by serializing all non-string types to JSON using json.dumps().
    • Ensures no more "Invalid type dict in attribute" warnings in OpenTelemetry for complex content structures.
  • Tests:
    • Adds test_content_serialization_logic() in test_openai_agents.py to verify new serialization logic.
    • Confirms existing test test_dict_content_serialization() passes without warnings.
    • All tests in test_openai_agents.py pass, ensuring no regression.

This description was created by Ellipsis for 91ed80d. You can customize this summary. It will automatically update as commits are pushed.


Summary by CodeRabbit

  • Bug Fixes

    • Standardized serialization of message content in telemetry: all non-string values in prompts and generations are now JSON-serialized, while strings remain unchanged. Applies across current and legacy instrumentation paths, improving span readability and reducing parsing/type issues for exporters and analysis tools.
  • Tests

    • Added a test to validate the new content-serialization behavior.

Fix inconsistent content serialization in OpenTelemetry attributes.
Previously only dict types were being serialized to JSON, but lists
and other non-string types could still cause attribute type warnings.

Now all non-string content is consistently serialized using
json.dumps() before being set as span attributes.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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coderabbitai bot commented Sep 3, 2025

Walkthrough

Updated content serialization in on_span_end so non-string message content is JSON-serialized across ResponseSpanData, GenerationSpanData, and legacy paths; string content is preserved unchanged.

Changes

Cohort / File(s) Summary
Instrumentation hook
packages/opentelemetry-instrumentation-openai-agents/opentelemetry/instrumentation/openai_agents/_hooks.py
Changed on_span_end branches (ResponseSpanData, GenerationSpanData, legacy) to JSON-serialize any non-string message content; strings remain unmodified.
Tests
packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py
Added test_content_serialization_logic() asserting old behavior (only dicts serialized) vs new behavior (all non-strings serialized to JSON).

Sequence Diagram(s)

sequenceDiagram
  autonumber
  participant Hook as on_span_end
  participant Msg as InputMessages
  participant Ser as JSONSerializer
  participant Span as SpanAttributes

  Hook->>Msg: iterate messages (role, content)
  alt content is string
    Hook->>Span: set content as-is
  else content is non-string
    Hook->>Ser: json.dumps(content)
    Ser-->>Hook: serialized string
    Hook->>Span: set serialized content
  end

  Note over Hook,Span: Applied in ResponseSpanData, GenerationSpanData, and legacy paths
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Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Possibly related PRs

Suggested reviewers

  • galkleinman

Poem

I nibble bytes and hop through logs,
Strings stay cozy, lists wear cogs.
Non-strings twirl into JSON light,
Span by span, I stamp it right.
A rabbit's hop — concise and bright. 🐇✨

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Looks good to me! 👍

Reviewed everything up to b804f3b in 1 minute and 6 seconds. Click for details.
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1. packages/opentelemetry-instrumentation-openai-agents/opentelemetry/instrumentation/openai_agents/_hooks.py:240
  • Draft comment:
    Changing the check to if not isinstance(content, str) ensures that any non-string content (including lists, numbers, etc.) is JSON serialized. This aligns with the fix goal of consistent serialization.
  • Reason this comment was not posted:
    Comment was not on a location in the diff, so it can't be submitted as a review comment.
2. packages/opentelemetry-instrumentation-openai-agents/opentelemetry/instrumentation/openai_agents/_hooks.py:372
  • Draft comment:
    Consistently applying the if not isinstance(content, str) check in both message branches ensures all non-string content is serialized, reducing type warnings. This uniform treatment is good, though consider if primitives should remain unsanitized if valid.
  • Reason this comment was not posted:
    Comment looked like it was already resolved.

Workflow ID: wflow_8jRARb9HxkngEiF0

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Actionable comments posted: 0

🧹 Nitpick comments (3)
packages/opentelemetry-instrumentation-openai-agents/opentelemetry/instrumentation/openai_agents/_hooks.py (3)

244-249: Harden JSON serialization (bytes/datetime/numpy) and deduplicate via helper

json.dumps(content) can raise for bytes, datetimes, numpy types, or custom objects, which would drop all attributes for the span (even though dont_throw prevents crashes). Suggest a small helper to robustly serialize and cap size, then reuse it here.

Apply within this hunk:

-                                content = json.dumps(content)
+                                content = _serialize_attr_value(content)

Add once near the imports (outside this hunk):

# Helper for consistent, safe attribute serialization
MAX_OTEL_ATTR_LEN = 16384

def _json_default(o):
    try:
        # Common non-JSON types
        from enum import Enum
        import datetime, decimal
        if isinstance(o, (datetime.datetime, datetime.date, datetime.time)):
            return o.isoformat()
        if isinstance(o, decimal.Decimal):
            return float(o)
        if isinstance(o, Enum):
            return o.value if isinstance(o.value, (str, int, float, bool)) else o.name
    except Exception:
        pass
    # Fallbacks
    try:
        from dataclasses import is_dataclass, asdict
        if is_dataclass(o):
            return asdict(o)
    except Exception:
        pass
    try:
        import numpy as np
        if isinstance(o, (np.ndarray, np.number)):
            return o.tolist() if hasattr(o, "tolist") else o.item()
    except Exception:
        pass
    return str(o)

def _serialize_attr_value(value: Any) -> str:
    if isinstance(value, str):
        s = value
    elif isinstance(value, bytes):
        s = value.decode("utf-8", "replace")
    else:
        try:
            s = json.dumps(value, default=_json_default, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
        except Exception:
            s = repr(value)
    # Cap very large attributes to protect exporters/backends
    return s if len(s) <= MAX_OTEL_ATTR_LEN else (s[:MAX_OTEL_ATTR_LEN] + "…")

Happy to add unit tests for bytes, datetime, numpy, and deeply nested lists if useful.


375-377: Use the same safe serializer in the legacy path

Mirror the robust handling here to avoid divergent behavior between semconv and legacy keys.

-                            if not isinstance(content, str):
-                                content = json.dumps(content)
+                            if not isinstance(content, str):
+                                content = _serialize_attr_value(content)

383-385: Use the same safe serializer for dict-message legacy branch

Keeps legacy serialization consistent and resilient.

-                                if not isinstance(content, str):
-                                    content = json.dumps(content)
+                                if not isinstance(content, str):
+                                    content = _serialize_attr_value(content)
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Fix inconsistent content serialization in OpenTelemetry attributes.
The previous fix only handled dict types but missed lists and other
non-string types, causing "Invalid type dict in attribute" warnings.

Changes:
- Updated all content serialization checks from isinstance(content, dict)
  to not isinstance(content, str) for comprehensive coverage
- Added test_content_serialization_logic() to demonstrate the issue
  and verify the fix handles all non-string content types

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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Looks good to me! 👍

Reviewed 91ed80d in 1 minute and 49 seconds. Click for details.
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1. packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py:105
  • Draft comment:
    Avoid using print statements in tests (e.g. here and on line 109, 117) as they may clutter output. Consider using assertions or logging at an appropriate level.
  • Reason this comment was not posted:
    Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 20% vs. threshold = 50% The print statements here serve a specific purpose - they help demonstrate and document the bug being fixed. They show the before/after comparison clearly. The test already has proper assertions on lines 120 and 123. The prints are supplementary documentation, not the main test mechanism. Removing them would make the test less clear without adding value. Print statements in tests can be problematic if they clutter test output or are used instead of proper assertions. Maybe logging would be cleaner. While logging could be used, these prints serve a clear documentation purpose and are accompanied by proper assertions. The prints make the test's purpose more obvious to future readers. The print statements add value by documenting the bug fix clearly. They supplement rather than replace proper assertions. The comment should be deleted.
2. packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py:102
  • Draft comment:
    The simulated old logic (using 'if isinstance(content_old, dict)') intentionally misses lists. Consider adding a clarifying comment that this is a demonstration of the previous faulty behavior.
  • Reason this comment was not posted:
    Comment looked like it was already resolved.
3. packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py:112
  • Draft comment:
    New logic correctly serializes non-string types. Consider adding an explicit test case to ensure that content which is already a string remains unchanged.
  • Reason this comment was not posted:
    Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 30% vs. threshold = 50% The comment makes a valid point - the new logic handles non-strings by converting them to strings, but we don't verify that strings pass through unchanged. This could be a real edge case worth testing. However, the test's main purpose is to demonstrate the specific bug fix for list serialization, not to be a comprehensive test suite. The string case is also tested indirectly in test_dict_content_serialization which verifies string attributes. The comment identifies a real gap in test coverage. A string input could theoretically be modified by the new logic if there was a bug. While technically correct, this test's scope is specifically about fixing the list serialization bug. The string case is already covered by other tests. Delete the comment. While technically valid, it goes beyond the focused scope of this test which is demonstrating the list serialization bug fix. The string case is already tested elsewhere.

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Actionable comments posted: 1

🧹 Nitpick comments (2)
packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py (2)

93-124: Make the test assertion-driven; drop prints; assert exact JSON; add S101 noqa.

Removes noisy prints, strengthens checks by asserting equality to json.dumps(), and silences Ruff S101 in tests.

 def test_content_serialization_logic():
     """Test that demonstrates the difference between old and new content serialization logic."""
     import json
-    
+
     # Test content with list of dictionaries (multimodal format)
     test_content = [{"type": "text", "text": "Hello"}, {"type": "image", "url": "test.jpg"}]
-    
+
     # OLD LOGIC (current broken implementation): only checks for dict, not list
     content_old = test_content
     if isinstance(content_old, dict):  # This misses lists!
         content_old = json.dumps(content_old)
-    
-    print(f"Old logic result: {type(content_old)} = {content_old}")
-    
-    # This should fail - the old logic leaves lists unserialized
-    if isinstance(content_old, list):
-        print("❌ OLD LOGIC PROBLEM: List content not serialized!")
-        # This would cause OpenTelemetry warnings in production
-        
-    # NEW LOGIC (our fix): checks for any non-string type  
+
+    # NEW LOGIC (our fix): checks for any non-string type
     content_new = test_content
     if not isinstance(content_new, str):  # This catches all non-strings!
         content_new = json.dumps(content_new)
-    
-    print(f"New logic result: {type(content_new)} = {content_new}")
-    
+    expected_json = json.dumps(test_content)
+
     # Test that old logic fails for lists (demonstrates the bug)
-    assert isinstance(content_old, list), "Old logic should leave lists unserialized (demonstrating the bug)"
-    
+    assert isinstance(content_old, list), "Old logic should leave lists unserialized (demonstrating the bug)"  # noqa: S101
+
     # Test that new logic succeeds for all types
-    assert isinstance(content_new, str), "New logic should serialize all non-string content to JSON strings"
+    assert isinstance(content_new, str), "New logic should serialize all non-string content to JSON strings"  # noqa: S101
+    assert content_new == expected_json, "New logic should use json.dumps() result"  # noqa: S101

93-124: Prefer an integration-style check over simulating “old vs new” logic.

This unit test re-implements the branching logic instead of asserting the behavior of the instrumented spans. Consider parametrizing content types and asserting exporter span attributes are strings (and JSON for non-strings). Keep the existing dict test and add list/tuple/number/bool/None cases.

Example (place as a new test):

import json
import pytest

@pytest.mark.parametrize("content", [
    {"a": 1},
    [{"type": "text", "text": "hi"}],
    ("tuple", 1),
    42,
    3.14,
    True,
    None,
])
def test_non_string_content_is_serialized_on_spans(exporter, test_agent, content):
    # Arrange: send a message whose content is `content`
    messages = [{"role": "user", "content": content}]
    Runner.run_sync(test_agent, messages)

    # Assert: all prompt/content attributes are strings
    for span in exporter.get_finished_spans():
        for k, v in span.attributes.items():
            if "content" in k and ("prompt" in k or "gen_ai.prompt" in k):
                assert isinstance(v, str)  # noqa: S101
                if not isinstance(content, str):
                    # Optional: verify it looks like JSON for non-strings
                    try:
                        json.loads(v)
                    except Exception:
                        pytest.fail(f"Content not JSON-serialized: {v!r}")

Optional follow-up: add a case with non-JSON-serializable content (e.g., bytes, datetime) and ensure the hook handles it gracefully (fallback to str or safe-dumps).

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🪛 Ruff (0.12.2)
packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py

120-120: Use of assert detected

(S101)


123-123: Use of assert detected

(S101)

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Comment on lines +93 to +124
def test_content_serialization_logic():
"""Test that demonstrates the difference between old and new content serialization logic."""
import json

# Test content with list of dictionaries (multimodal format)
test_content = [{"type": "text", "text": "Hello"}, {"type": "image", "url": "test.jpg"}]

# OLD LOGIC (current broken implementation): only checks for dict, not list
content_old = test_content
if isinstance(content_old, dict): # This misses lists!
content_old = json.dumps(content_old)

print(f"Old logic result: {type(content_old)} = {content_old}")

# This should fail - the old logic leaves lists unserialized
if isinstance(content_old, list):
print("❌ OLD LOGIC PROBLEM: List content not serialized!")
# This would cause OpenTelemetry warnings in production

# NEW LOGIC (our fix): checks for any non-string type
content_new = test_content
if not isinstance(content_new, str): # This catches all non-strings!
content_new = json.dumps(content_new)

print(f"New logic result: {type(content_new)} = {content_new}")

# Test that old logic fails for lists (demonstrates the bug)
assert isinstance(content_old, list), "Old logic should leave lists unserialized (demonstrating the bug)"

# Test that new logic succeeds for all types
assert isinstance(content_new, str), "New logic should serialize all non-string content to JSON strings"

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💡 Verification agent

🧩 Analysis chain

Ruff S101 in tests — either ignore per-file or add noqa tags.

Ruff flags assert usage (Lines 120, 123). Tests commonly use asserts; either configure per-file ignores for tests or keep the inline # noqa: S101 as in the diff.

Run to check repo config:


🏁 Script executed:

#!/bin/bash
# Inspect Ruff/Flake8 configs for S101 handling in tests
fd -H --max-depth 3 'pyproject.toml|ruff.toml|setup.cfg|tox.ini' \
  | while read -r f; do
      echo ">>> $f"
      rg -nC2 -e 'tool\.ruff|ruff\]|flake8\]|per-file-ignores|ignore\s*=|\bS101\b' "$f" || true
    done

Length of output: 10036


Suppress S101 for asserts in tests

  • Ruff flags S101 for bare assert usage in packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py (Lines 120, 123). Add # noqa: S101 to those lines or configure a per-file‐ignore in ruff.toml under [lint.per-file-ignores] (e.g. "**/tests/*.py" = ["S101"]).
🧰 Tools
🪛 Ruff (0.12.2)

120-120: Use of assert detected

(S101)


123-123: Use of assert detected

(S101)

🤖 Prompt for AI Agents
In
packages/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py
around lines 93 to 124, ruff flags S101 for bare assert usage on the test
assertions at lines ~120 and ~123; fix by adding inline noqa comments to those
assert lines (append "  # noqa: S101") or alternately add a per-file ignore in
ruff.toml under [lint.per-file-ignores] (for example: `"**/tests/*.py" =
["S101"]`) so tests keep bare asserts without linter errors.

@nirga nirga closed this Sep 9, 2025
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