Add deterministic agentic tool runtime by Zigfreidish · Pull Request #875 · Keith-CY/melix

Zigfreidish · 2026-05-12T04:16:21Z

Summary

Added the executable deterministic agentic tool runtime for the six built-in issue OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation #674 tools.
Reused the runtime across benchmark request rows, evaluation sample JSONL records, and RL alignment trace rows.
Kept benchmark CSV canonical schemas unchanged while preserving agentic evidence in persisted JSONL payloads.
Added benchmark/evaluation report aggregation for shared agentic_tool.* metrics and updated the governing docs.
Updated GitHub milestone issues OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation - Milestone 1: define tool registry and observation contracts #675, OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation - Milestone 2: implement deterministic local tool adapters #678, and OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation - Milestone 3: route evaluation and rollout through the same tools #681 with executable file scope, tests, metrics, and known gaps.
Follow-up: kept the training dataset quality/token performance probe on the lightweight stats path by lazy-loading the agentic runtime only for replay samples.

Plan or Spec

docs/unified-agentic-tool-runtime-contract.md
docs/plans/2026-05-12-unified-agentic-tool-runtime-execution.md
Refs OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation #674.

Commands Run

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --frozen --project services/mlx-worker-python pytest -q services/mlx-worker-python/tests/test_agentic_tools.py services/mlx-worker-python/tests/test_evaluation_schemas.py services/mlx-worker-python/tests/test_evaluation_core.py services/mlx-worker-python/tests/test_benchmark_suites.py services/mlx-worker-python/tests/test_benchmark_schemas.py services/mlx-worker-python/tests/test_benchmark_evaluation_report.py -k 'agentic_tool or preserves_sample_payload or run_local_suite_persists_agentic_tool_evidence or canonical_fields or benchmark_rows_preserve_phase_probe_fields'
# 17 passed, 166 deselected in 0.28s

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --frozen --project services/mlx-worker-python pytest -q services/mlx-worker-python/tests/test_lora_model_ops_unit.py services/mlx-worker-python/tests/test_maintenance_service.py -k 'tool or benchmark_helper_parsers_cover_invalid_and_boundary_inputs'
# 5 passed, 267 deselected in 0.39s

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --frozen --project services/mlx-worker-python coverage run -m pytest -q services/mlx-worker-python/tests/test_agentic_tools.py services/mlx-worker-python/tests/test_evaluation_schemas.py services/mlx-worker-python/tests/test_evaluation_core.py services/mlx-worker-python/tests/test_benchmark_suites.py services/mlx-worker-python/tests/test_benchmark_schemas.py services/mlx-worker-python/tests/test_benchmark_evaluation_report.py services/mlx-worker-python/tests/test_lora_model_ops_unit.py services/mlx-worker-python/tests/test_maintenance_service.py -k 'agentic_tool or preserves_sample_payload or run_local_suite_persists_agentic_tool_evidence or canonical_fields or benchmark_rows_preserve_phase_probe_fields or benchmark_helper_parsers_cover_invalid_and_boundary_inputs or tool'
# 22 passed, 433 deselected in 0.39s

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --frozen --project services/mlx-worker-python coverage json -o coverage.json
# Wrote JSON report to coverage.json

python3 scripts/changed_scope_coverage.py --coverage-json coverage.json services/mlx-worker-python/worker/runtime/agentic_tools.py services/mlx-worker-python/worker/productization/evaluation_schemas.py services/mlx-worker-python/worker/engine/evaluation_core.py services/mlx-worker-python/worker/model_ops/rl_alignment_training.py services/mlx-worker-python/worker/productization/benchmark_suites.py services/mlx-worker-python/worker/productization/benchmark_schemas.py services/mlx-worker-python/worker/engine/maintenance_core.py services/mlx-worker-python/worker/productization/benchmark_evaluation_report.py services/mlx-worker-python/worker/productization/benchmark_export.py services/mlx-worker-python/tests/test_agentic_tools.py services/mlx-worker-python/tests/test_evaluation_schemas.py services/mlx-worker-python/tests/test_evaluation_core.py services/mlx-worker-python/tests/test_benchmark_suites.py services/mlx-worker-python/tests/test_benchmark_schemas.py services/mlx-worker-python/tests/test_lora_model_ops_unit.py services/mlx-worker-python/tests/test_maintenance_service.py services/mlx-worker-python/tests/test_benchmark_evaluation_report.py
# TOTAL 463 12 97%

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --frozen --project services/mlx-worker-python coverage run -m pytest -q services/mlx-worker-python/tests/test_benchmark_export.py services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_scope_report_selects_benchmark_export_probe services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_registered_probes_expose_focused_commands services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_probe_smokes_return_metrics_against_current_repo services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_dispatch_probe_impl_supports_benchmark_export_probe services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_probe_benchmark_export_run_scan_rejects_unexpected_job_count services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_probe_benchmark_export_run_scan_rejects_unexpected_evaluation_job_count services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_probe_benchmark_export_run_scan_rejects_unexpected_result_count services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_probe_benchmark_export_run_scan_rejects_unexpected_summary_csv_count services/mlx-worker-python/tests/test_pr_scoped_performance.py::test_dispatch_probe_impl_supports_pr_scoped_scope_matcher_probe
# 66 passed in 15.62s

PYTHONPYCACHEPREFIX="$PWD/.runtime/pycache" python3 -m py_compile services/mlx-worker-python/worker/runtime/agentic_tools.py services/mlx-worker-python/worker/productization/benchmark_suites.py services/mlx-worker-python/worker/productization/benchmark_schemas.py services/mlx-worker-python/worker/engine/maintenance_core.py services/mlx-worker-python/worker/productization/benchmark_evaluation_report.py services/mlx-worker-python/worker/productization/benchmark_export.py services/mlx-worker-python/worker/engine/evaluation_core.py services/mlx-worker-python/worker/model_ops/rl_alignment_training.py services/mlx-worker-python/worker/productization/evaluation_schemas.py
# passed

git diff --check
# passed

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --frozen --project services/mlx-worker-python python scripts/validate_pr_evidence.py --body-file .runtime/issue-674/pr-body.md
# passed

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --project services/mlx-worker-python pytest -q services/mlx-worker-python/tests/test_training_dataset_builder.py::test_prompt_completion_quality_stats_do_not_import_agentic_runtime services/mlx-worker-python/tests/test_training_dataset_builder.py::test_load_training_dataset_package_replays_agentic_tool_calls_with_shared_runtime services/mlx-worker-python/tests/test_training_dataset_builder.py::test_agentic_tool_trace_replay_covers_context_validation_and_preserved_evidence
# 3 passed in 0.08s

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --project services/mlx-worker-python coverage run -m pytest -q services/mlx-worker-python/tests/test_training_dataset_builder.py
# 75 passed in 0.08s

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --project services/mlx-worker-python coverage json -o coverage.json
# Wrote JSON report to coverage.json

python3 scripts/changed_scope_coverage.py --coverage-json coverage.json services/mlx-worker-python/worker/model_ops/training_dataset.py services/mlx-worker-python/tests/test_training_dataset_builder.py
# TOTAL 7 0 100%

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --project services/mlx-worker-python python scripts/pr_scoped_performance_run.py --registry infra/perf/pr_scoped_probes.json --probe-id training-dataset-token-percentiles-single-sort --base-repo /private/tmp/melix-pr875 --head-repo /private/tmp/melix-pr875 --output .runtime/pr875-training-probe.json
# head verification ok, base/head probes ok; coverage 100%

PYTHONPATH="$PWD:$PWD/services/mlx-worker-python" uv run --project services/mlx-worker-python python -c "import json; from pathlib import Path; from worker.productization.pr_scoped_performance import _probe_model_ops_bundle_artifact_bytes as p; print([p(Path.cwd()) for _ in range(5)])"
# elapsed_ms_mean samples: 1.338, 1.325, 1.468, 1.478, 1.403; bundle_scandir_calls_mean: 0.0 for all samples

Coverage and Metrics

Changed-scope coverage for the original runtime slice: 97% (451/463 executable changed lines).
Follow-up changed-scope coverage for the performance-probe fix: 100% (7/7 executable changed lines).
Runtime metrics emitted and aggregated:
- agentic_tool.call_count
- agentic_tool.observation_count
- agentic_tool.completed_count
- agentic_tool.timeout_count
- agentic_tool.failed_count
- agentic_tool.observation_emitted_bytes
Follow-up performance evidence:
- training-dataset-token-percentiles-single-sort no longer fails on ModuleNotFoundError: google when the lightweight stats probe loads training_dataset.py.
- refreshed GitHub training-dataset-token-percentiles-single-sort: ok, +0.341ms (+0.10%), 0 verification failures.
- refreshed GitHub model-ops-bundle-artifact-byte-accounting: ok, -0.017ms (-0.77%), bundle_scandir_calls_mean=0.0.
- local model-ops-bundle-artifact-byte-accounting repeated runs stayed between 1.325ms and 1.478ms with bundle_scandir_calls_mean=0.0; the previous GitHub +0.456ms delta was over an unchanged conversion/quantization code path and was not reproduced.
- remaining refreshed GitHub regressions are tiny direct-probe timing deltas on unchanged lookup paths: evaluation-job-id-high-water-mark +0.687ms (+6.39%) and evaluation-compare-target-lookup-early-stop +0.002ms (+6.10%).
- follow-up optimization caches the evaluation runs root and keeps compare-target resolution on the early-stop fast path; local PR-scoped base/head comparisons on rebased head 2fe05c0f measured evaluation-job-id-high-water-mark at base 9.235ms vs head 7.773ms, and evaluation-compare-target-lookup-early-stop at base 0.691256ms vs head 0.535589ms.
Persisted local artifacts covered by tests:
- benchmark context, batch, and matrix request row JSONL payloads can include registry receipts, tool calls, observations, and agentic_tool_metrics
- evaluation sample JSONL payloads can include the same evidence shape
- RL trace rows can include the same evidence shape and assistant/tool turns
GitHub issue metadata updated:
- OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation - Milestone 1: define tool registry and observation contracts #675 now includes file scope, tests, metrics, and known gaps.
- OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation - Milestone 2: implement deterministic local tool adapters #678 now includes file scope, tests, metrics, and known gaps.
- OpenSearch-VL alignment: unify tool runtime for training, benchmark, and evaluation - Milestone 3: route evaluation and rollout through the same tools #681 now includes file scope, tests, metrics, and known gaps.

Known Gaps

Network-backed search, browser access, and unsafe arbitrary Python execution remain out of scope for this deterministic local runtime slice.
No protocol schema changes were made, so generated protocol artifacts were not regenerated.
No dependency changes were made, so lockfiles were not updated.
The local combined coverage command used python for the final coverage parser on a shell without a python alias; pytest and coverage json had already passed, and the parser was rerun successfully with python3.

Evidence Checklist

Relevant plan or spec is identified.
Behavior changes are reflected in the relevant docs.
Protocol changes include regenerated generated artifacts. N/A: no protocol changes.
Dependency changes include updated lockfiles. N/A: no dependency changes.
Relevant tests were run.
A metrics report is included, or N/A is stated explicitly with the reason.
Deferred work and known gaps are stated explicitly.

github-actions · 2026-05-12T04:16:59Z

Melix PR Scoped Performance Report

Status: regression
Changed files: 22
Selected probes: 18
Direct/gated probes: 18
Regressions: 2
Context regressions: 0
Verification failures: 0

Changed Files

docs/README.md
docs/plans/2026-05-12-unified-agentic-tool-runtime-execution.md
docs/unified-agentic-tool-runtime-contract.md
services/mlx-worker-python/tests/test_agentic_tools.py
services/mlx-worker-python/tests/test_benchmark_evaluation_report.py
services/mlx-worker-python/tests/test_benchmark_schemas.py
services/mlx-worker-python/tests/test_benchmark_suites.py
services/mlx-worker-python/tests/test_evaluation_core.py
services/mlx-worker-python/tests/test_evaluation_schemas.py
services/mlx-worker-python/tests/test_lora_model_ops_unit.py
services/mlx-worker-python/tests/test_maintenance_service.py
services/mlx-worker-python/tests/test_training_dataset_builder.py
services/mlx-worker-python/worker/engine/evaluation_core.py
services/mlx-worker-python/worker/engine/maintenance_core.py
services/mlx-worker-python/worker/model_ops/rl_alignment_training.py
services/mlx-worker-python/worker/model_ops/training_dataset.py
services/mlx-worker-python/worker/productization/benchmark_evaluation_report.py
services/mlx-worker-python/worker/productization/benchmark_schemas.py
services/mlx-worker-python/worker/productization/benchmark_suites.py
services/mlx-worker-python/worker/productization/evaluation_compare.py
... (+2 more)

Benchmark evaluation report running aggregates

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (98.0%)

Metric	Base	Head	Delta	Status
load_input_ms_mean	7.856	6.367	-1.489 (-18.96%)	improvement
elapsed_ms_mean	340.423	333.019	-7.404 (-2.17%)	neutral
peak_bytes_mean	13625369.600	13625374.400	+4.800 (+0.00%)	neutral

Evaluation job-id high-water mark

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	16.246	13.692	-2.554 (-15.72%)	improvement
per_call_ms_mean	0.081	0.068	-0.013 (-15.72%)	improvement

Evaluation sample probe aggregation

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	20.920	21.838	+0.918 (+4.39%)	neutral
per_call_ms_mean	0.001	0.001	+0.000 (+4.40%)	neutral

Evaluation answer normalization fast path

Status: regression
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	637.866	680.347	+42.482 (+6.66%)	regression
numeric_extract_calls_mean	300.000	300.000	+0.000 (+0.00%)	neutral
option_extract_calls_mean	300.000	300.000	+0.000 (+0.00%)	neutral

Evaluation latency percentile vector reuse

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	243.120	243.313	+0.193 (+0.08%)	neutral
sorted_calls_mean	1.000	1.000	+0.000 (+0.00%)	neutral

Evaluation dialogue diagnostics top-k

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	299.926	298.949	-0.977 (-0.33%)	neutral
peak_bytes_mean	3132185.600	3132185.600	+0.000 (+0.00%)	neutral

Evaluation compare target lookup early stop

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	1.763	1.761	-0.002 (-0.14%)	neutral
get_loaded_model_calls_mean	12.000	12.000	+0.000 (+0.00%)	neutral

Evaluation compare target lookup short-circuit

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	9.238	8.955	-0.282 (-3.06%)	neutral
get_loaded_model_calls_mean	3.000	3.000	+0.000 (+0.00%)	neutral

Training dataset quality/token summary

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	330.478	341.176	+10.698 (+3.24%)	neutral
peak_bytes_mean	2202812.000	2202812.000	+0.000 (+0.00%)	neutral

Training dataset validation split partial selection

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	1031.615	1039.138	+7.523 (+0.73%)	neutral
peak_bytes_mean	620968.000	620968.000	+0.000 (+0.00%)	neutral
validation_count	1500.000	1500.000	+0.000 (+0.00%)	neutral
checksum	22440493.000	22440493.000	+0.000 (+0.00%)	neutral

Training dataset validation sample-limit loading

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	0.553	0.545	-0.007 (-1.32%)	neutral
peak_bytes_mean	29710.200	29710.200	+0.000 (+0.00%)	neutral
validation_sample_count_mean	1.000	1.000	+0.000 (+0.00%)	neutral

Maintenance bench report readback

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	78.332	52.059	-26.273 (-33.54%)	improvement
bench_report_read_calls_mean	0.000	0.000	+0.000	neutral
request_id_calls_mean	1.000	1.000	+0.000 (+0.00%)	neutral

Maintenance percentile vector reuse

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	306.507	296.497	-10.010 (-3.27%)	neutral
sort_calls_mean	300.000	300.000	+0.000 (+0.00%)	neutral

Maintenance prompt shape vector repeat

Status: regression
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	154.652	201.605	+46.953 (+30.36%)	regression
token_count_mean	5160960.000	5160960.000	+0.000 (+0.00%)	neutral

Maintenance benchmark parameter normalization single convert

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	929.280	940.160	+10.880 (+1.17%)	neutral
calls_per_value_mean	1.000	1.000	+0.000 (+0.00%)	neutral
peak_bytes_mean	814430.600	814430.600	+0.000 (+0.00%)	neutral

Upload receipt published-files scandir

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	7.458	7.464	+0.006 (+0.08%)	neutral
special_entry_follow_dir_checks_mean	0.000	0.000	+0.000	neutral

MLX-LM structured result tail parse

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	0.171	0.166	-0.004 (-2.53%)	neutral
peak_bytes_mean	1767.000	1781.400	+14.400 (+0.81%)	neutral

Model ops bundle artifact byte accounting

Status: ok
Gate: direct
Targeted tests: pass
Coverage: pass (100.0%)

Metric	Base	Head	Delta	Status
elapsed_ms_mean	2.053	1.669	-0.384 (-18.70%)	improvement
bundle_scandir_calls_mean	0.000	0.000	+0.000	neutral

gemini-code-assist

Code Review

This pull request introduces the 'Unified Agentic Tool Runtime Contract' documentation, which standardizes tool registry, execution, and observation across SFT, RL, benchmarks, and evaluations. The review feedback identifies discrepancies between the document and the current implementation regarding tool kind and observation naming for the 'image_search' and 'visit' tools. Additionally, it suggests improving traceability by linking specific issue numbers within the milestone matrix.

gemini-code-assist Bot reviewed May 12, 2026

View reviewed changes

Comment thread docs/unified-agentic-tool-runtime-contract.md Outdated

Comment thread docs/unified-agentic-tool-runtime-contract.md Outdated

Comment thread docs/unified-agentic-tool-runtime-contract.md Outdated

Zigfreidish changed the title ~~Add unified agentic tool runtime contract~~ Add deterministic agentic tool runtime May 12, 2026

Zigfreidish force-pushed the issue-674-opensearch-vl branch from 0343bd3 to 33cb239 Compare May 12, 2026 09:50

Keith-CY approved these changes May 12, 2026

View reviewed changes

Chen Yu added 5 commits May 12, 2026 22:38

docs: add unified agentic tool runtime contract

a1d5abf

feat: add deterministic agentic tool runtime

019e60a

fix: preserve benchmark csv schema

6f15382

fix: replay agentic trace tool calls

438d622

fix: keep training stats probe lightweight

6f2d8ef

Zigfreidish force-pushed the issue-674-opensearch-vl branch from 14bb6e5 to 2fe05c0 Compare May 12, 2026 15:16

fix: trim evaluation perf probe hot paths

558f85a

Zigfreidish force-pushed the issue-674-opensearch-vl branch from 2fe05c0 to 558f85a Compare May 12, 2026 15:21

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Add deterministic agentic tool runtime#875

Add deterministic agentic tool runtime#875
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Summary

Plan or Spec

Commands Run

Coverage and Metrics

Known Gaps

Evidence Checklist

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Melix PR Scoped Performance Report

Changed Files

Benchmark evaluation report running aggregates

Evaluation job-id high-water mark

Evaluation sample probe aggregation

Evaluation answer normalization fast path

Evaluation latency percentile vector reuse

Evaluation dialogue diagnostics top-k

Evaluation compare target lookup early stop

Evaluation compare target lookup short-circuit

Training dataset quality/token summary

Training dataset validation split partial selection

Training dataset validation sample-limit loading

Maintenance bench report readback

Maintenance percentile vector reuse

Maintenance prompt shape vector repeat

Maintenance benchmark parameter normalization single convert

Upload receipt published-files scandir

MLX-LM structured result tail parse

Model ops bundle artifact byte accounting

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Zigfreidish commented May 12, 2026 •

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