[Naveen Chatlapalli (1aifanatic)]

Motivation & Context

samples/05-end-to-end/evaluation/foundry_evals/evaluate_traces_sample.py cannot run. evaluate_traces() declares model as a required keyword-only argument (the deployment Foundry uses as the evaluator LLM judge), but both calls in the sample omit it:

TypeError: evaluate_traces() missing 1 required keyword-only argument: 'model'

The error is raised before any request reaches Foundry, so every user who follows the README for this sample hits it. 05-end-to-end is excluded from the samples type-check sweep (SAMPLE_TYPING_EXCLUDES), which is why CI did not catch the drift.

Description & Review Guide

• What are the major changes? Read FOUNDRY_MODEL once into model and pass it to the FoundryChatClient and to both evaluate_traces() calls, plus the commented-out agent_id example, so it stays correct when uncommented.
• What is the impact of these changes? Sample only. It now matches the documented evaluate_traces() signature and its docstring example.
• What do you want reviewers to focus on? Whether reusing the chat deployment as the judge model is the right default for this sample (it matches how the sibling Foundry eval samples use FOUNDRY_MODEL).

Verified locally: Pyright on the file reports 0 errors (previously Argument missing for parameter "model" twice); ruff check / ruff format --check pass. Running main() with the Foundry evaluation call stubbed now reaches both evaluations, with model="gpt-4o" forwarded.

Related Issue

N/A - trivial change: the sample omits a required argument and fails with TypeError on startup. The fix only supplies that argument as documented in evaluate_traces()'s own docstring, so the desired result is not in dispute.

AI Assistance

• No material AI assistance was used.
• This is an AI-assisted contribution. I reviewed, understood, and verified all submitted content and accept responsibility for it.

AI assistance details: Claude Code helped find the broken sample (by type-checking the excluded 05-end-to-end samples), implement the fix, run the local verification, and draft this description.

Contribution Checklist

• The code builds clean without any errors or warnings
• All unit tests pass, and I have added new tests where possible
• The PR follows the Contribution Guidelines
• This PR links to an agreed issue with no competing open PR, or the Related Issue section documents a trivial-change or repository-automation exception.
• This is not a breaking change. If it is a breaking change, add the breaking change label (or add "[BREAKING]" to the title prefix, before or after any language prefix) — a workflow keeps the label and title prefix in sync automatically.

🤖 Generated with Claude Code

[Copilot]

🟢 Approval recommended

The sample-only fix matches the required API signature and existing usage, with no unresolved findings.

No open issues 🎉

What changed in this PR

Fixes the Foundry trace-evaluation sample by supplying the required judge model argument.

Changes:

• Reuses FOUNDRY_MODEL for the chat client and both evaluation calls.
• Updates the commented agent_id example to include the model argument.

File	Description
python/​samples/​05-end-to-end/​evaluation/​foundry_evals/​evaluate_traces_sample.py	Passes the shared model deployment to trace evaluations.

_{Review effort: Balanced}

[Eduard van Valkenburg (eavanvalkenburg)]

The sample now supplies the required judge model to every evaluate_traces() call and reuses the existing FOUNDRY_MODEL deployment consistently. This is a focused fix for a deterministic startup error.