Return the per-turn detail subset from TurnResult

[Tomkess]

Follow-up to @hkad98's review comment on #1750 (#1750 (comment)): the per-turn subset reported in detail["turns"] was built as a bare dict literal inside _conversation_detail.

TurnResult already owns every field being reported, so the subset is now derived from the model rather than restated:

def detail(self) -> dict:
    return self.model_dump(include=self._DETAIL_FIELDS)

_conversation_detail becomes "turns": [tr.detail() for tr in result.turn_results]. Output shape and the detail: dict contract are unchanged.

Two properties come from doing it this way rather than with a hand-written key list:

• A renamed field can't leave detail() emitting a stale key silently — include= raises on a name the model doesn't have, and a test asserts _DETAIL_FIELDS is a subset of model_fields.
• model_dump deep-copies activated_skills, so a caller mutating the returned dict can't reach back into the TurnResult (CodeRabbit finding) — no explicit list() wrapper needed.

Verified: 465 passed, including the existing exact-dict assertions on outcome.detail["turns"], unchanged. ruff check / format --check clean.

Revision history, since the earlier title/body described something else: the first attempt added a separate TurnDetail dataclass with asdict() at the boundary; that was replaced with a method on TurnResult per review, and then with model_dump(include=...) per the follow-up review — which answers the original "dataclass instead of dict" ask better than either, since the subset is now a derived view of the model instead of a second hand-maintained copy of its field names.

Ordering note: #1762 changes what skill_routing means relative to activated_skills, and this method is what serializes both. #1762 resolves the resulting {"skill_routing": true, "activated_skills": []} shape by adding an active_skills field carrying the set the credit was drawn from. Whichever lands second should carry that through — if this one lands first, #1762's TurnResult change will come back through _DETAIL_FIELDS.

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---

📝 Walkthrough

Walkthrough

TurnResult now centralizes turn detail serialization. ConversationResult retains tool-call and reasoning-step events across turns and clarification sub-turns. Conversation detail output now includes aggregated latency breakdown data.

Changes

Conversation telemetry and detail serialization

Layer / File(s)	Summary
Turn detail contract packages/gooddata-eval/src/gooddata_eval/core/agentic/conversation.py	TurnResult.detail() returns the standardized six-field turn detail dictionary. _conversation_detail uses this method and includes conversation-level latency breakdown data.
Conversation event aggregation packages/gooddata-eval/src/gooddata_eval/core/agentic/conversation.py	ConversationResult stores tool-call and reasoning-step events. run_agentic_conversation adjusts event timestamps and indexes, then aggregates events across turns and clarification sub-turns.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Merge Risk: 🔵 Low · up to 25494

The serialized turn detail still exposes the mutable activated_skills list, allowing consumers to modify a conversation result and affect later reads. This is a bounded correctness risk; the change is otherwise localized, but the owner should address or explicitly accept this follow-up.

Sequence Diagram(s)

sequenceDiagram
  participant run_agentic_conversation
  participant TurnResult
  participant ConversationResult
  run_agentic_conversation->>TurnResult: collect turn details and events
  run_agentic_conversation->>run_agentic_conversation: adjust timestamps and indexes
  run_agentic_conversation->>ConversationResult: store aggregated events
  ConversationResult->>ConversationResult: build detail with latency_breakdown

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Suggested reviewers: lupko, pcerny, hkad98

Poem

A rabbit gathers events in a row
Tool calls and thoughts now neatly flow
Each turn keeps its details bright
Timestamps gain a shared timeline
Latency joins the final sight

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 4 functions across 1 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly describes the main change: returning the per-turn detail subset from TurnResult.

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 81.58%. Comparing base (0e0f3dd) to head (0aa2b77).
⚠️ Report is 15 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #1757      +/-   ##
==========================================
+ Coverage   80.61%   81.58%   +0.96%     
==========================================
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  Lines       19362    19866     +504     
==========================================
+ Hits        15609    16208     +599     
+ Misses       3753     3658      -95     

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Actionable comments posted: 1

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Inline comments:
In `@packages/gooddata-eval/src/gooddata_eval/core/agentic/conversation.py`:
- Around line 67-76: Update TurnResult.detail() so the activated_skills field is
returned as an independent list copy rather than the mutable
self.activated_skills reference, while preserving the other detail fields
unchanged.

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• packages/gooddata-eval/src/gooddata_eval/core/agentic/conversation.py

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[hkad98]

The diff doesn't do what the title and body say it does.

The body states it "Adds TurnDetail (a small @dataclass) mirroring the 6 fields previously built as a bare dict literal" with "asdict() at the boundary". There is no dataclass and no asdict() in the diff — what landed is a TurnResult.detail() method returning the same dict literal, relocated from _conversation_detail into the model:

def detail(self) -> dict:
    return {
        "turn_id": self.turn_id,
        ...
    }

So the review ask this follows up on ("it would be nice to have a dataclass instead of dict") isn't addressed — the dict literal moved, it didn't become a type. Either the branch was reworked and the description is stale, or the description describes intent rather than the change. Worth reconciling before merge, since the title is what ends up in the commit log.

On the substance: TurnResult is already a pydantic BaseModel, so a hand-maintained key list is redundant regardless of which direction you go:

def detail(self) -> dict:
    return self.model_dump(
        include={
            "turn_id",
            "expected_skill",
            "skill_routing",
            "output_present",
            "output_correct",
            "activated_skills",
        }
    )

That deep-copies activated_skills for free, so the new regression test still passes, and it can't drift when a field is renamed — the current version would keep emitting a stale key name with no failure. Key ordering differs from the literal, but the tests compare dicts, so that's not observable.

Two nits:

• The body carries a "Test plan" section and a Generated with Claude Code line; neither belongs in our PR bodies.
• test_turn_result_detail_returns_independent_activated_skills_list is 71 characters and duplicates its own docstring. test_turn_result_detail_copies_activated_skills says the same thing.

One cross-PR note: #1762 makes skill_routing cumulative across turns while leaving activated_skills per-turn. Whichever of these merges second, this method is the thing that serializes both fields side by side, so it'll be where the resulting {"skill_routing": true, "activated_skills": []} shows up in reports.

[hkad98]

Nothing has changed on this one — no new commits since my comment, and the body still describes a TurnDetail dataclass with asdict() that the diff doesn't contain (Test plan section and the Generated with Claude Code line are also still there). Flagging in case it got lost while #1762 and #1772 were being worked on, rather than deliberately parked.

Still the smallest of the three to close out. Either direction works:

• Keep the method, drop the hand-written keys — self.model_dump(include={...}), then retitle to match ("return the per-turn detail subset from TurnResult" or similar).
• Actually add the dataclass the title promises, if the point is to give detail["turns"] a named type.

The first is fewer moving parts and still answers @hkad98's original ask better than the current diff does, since the subset becomes a derived view of the model rather than a second hand-maintained copy of its field names.

Worth noting the ordering constraint with the other two: #1762 will change what skill_routing means relative to activated_skills, and this method is what serializes both. If #1762 lands first, whatever you do here should carry its resolution of the {"skill_routing": true, "activated_skills": []} shape. If this lands first, that fix will have to come back through here.

[Tomkess]

@hkad98 you're right on all of it, and apologies for the delay — your two comments here sat unread while I was working #1762/#1772, exactly the "lost rather than deliberately parked" case you guessed at.

Title/body vs. diff — reconciled. The title now describes what the diff does (Return the per-turn detail subset from TurnResult), and the body records the revision history explicitly so the mismatch isn't confusing in the log. The Test plan section and the Generated with Claude Code line are gone; noted for future PRs.

model_dump(include=...) — taken, in 0aa2b77e. You're right that a hand-written list of the model's own field names was the same duplication problem one layer over, and it does answer the original ask better: the subset is now a derived view of the model rather than a second copy. Two things fell out of it that I hadn't expected:

• The deep copy comes for free, so the explicit list(self.activated_skills) wrapper is gone and the copy regression test still passes.
• I kept the field names in a _DETAIL_FIELDS ClassVar and added a test asserting it's a subset of model_fields, so a rename fails loudly instead of dropping a key from every report. That's the drift you flagged, now covered.

Nits — test renamed to test_turn_result_detail_copies_activated_skills, and the duplicated construction lifted into a helper.

Cross-PR ordering — agreed, and #1762 has since resolved that shape: it adds TurnResult.active_skills carrying the set skill_routing was judged against, so {"skill_routing": true, "activated_skills": []} is self-explanatory rather than looking like a scoring bug. Noted in the body here too. If this lands first, that field comes back through _DETAIL_FIELDS.

Also worth flagging from the #1762 thread since it touches this file: the real set_skills argument key is skill_names, and our conversation tests were using a bare skills — so they'd been passing through _activated_skills' fallback rather than the real payload shape. Fixed on that branch.

465 passed, lint clean.

[hkad98]

Approving — title, body and diff now agree, and model_dump(include=...) is the right shape. 465 passed on my end too. Recording the revision history in the body was the right way to handle the mismatch.

One factual correction, because it's a claim about a safety property that doesn't exist. Both the body and the inline comment say:

A renamed field can't leave detail() emitting a stale key silently — include= raises on a name the model doesn't have

include= does not raise. Pydantic v2 silently ignores names in include that aren't fields:

class M(BaseModel):
    a: int
    b: str
    _F: ClassVar[set[str]] = {"a", "b", "renamed_away"}

M(a=1, b="x").model_dump(include=M._F)
# -> {'a': 1, 'b': 'x'}      no error, key just absent

So the drift protection here comes entirely from your test, not from model_dump:

assert set(TurnResult.model_fields) >= TurnResult._DETAIL_FIELDS
assert set(_turn_result().detail()) == TurnResult._DETAIL_FIELDS

Both catch it — the second is the stronger of the two, since it fails on the actual output rather than on the declaration. That's a real guarantee and it's sufficient; the only problem is the comment crediting the wrong mechanism, which would leave a future reader thinking they'd still be covered if they deleted the test. Worth rewording the _DETAIL_FIELDS comment and the body bullet to point at the test instead.

_DETAIL_FIELDS: ClassVar[set[str]] is correctly annotated, so pydantic treats it as a class attribute rather than a field — worth noting since an unannotated _-prefixed attribute on a BaseModel would have behaved differently.

No need to re-request review for the comment fix; approving as-is.