From 966cb77ac1f9d63f3d496f7cb764472754c8daf6 Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Tue, 28 Jul 2026 14:17:00 -0600 Subject: [PATCH 1/8] feat(experimentalist): make the benchmark harness suite-driven The runner hardcoded Terminal Bench's workspace and framework skill and assumed a package held exactly one domain, so a second suite could not be expressed as a manifest. A manifest now carries its own workspace and framework_skills, and may set task_id_prefix to scope a multi-domain package to one domain; coverage is then enforced against the matching subset. Skill directories resolve before the baseline evaluation, because otherwise a typo'd skill name surfaces hours of image builds later. A config may also name a user_simulator, which exports the OpenAI-style credentials that tau-style task environments and their NL-assertion judge read. Those are assigned rather than defaulted: a developer's ambient OPENAI_API_KEY paired with this gateway's base URL would 401 on every call. Signed-off-by: Aditya Pandey --- .../nemo-experimentalist/benchmarks/run.py | 52 +++++++- .../benchmarks/suites/terminal-bench-2.1.yaml | 3 + .../tests/test_experimentalist_benchmark.py | 118 ++++++++++++++++++ 3 files changed, 167 insertions(+), 6 deletions(-) diff --git a/plugins/nemo-experimentalist/benchmarks/run.py b/plugins/nemo-experimentalist/benchmarks/run.py index 889a696f0a..ddb9bb32aa 100644 --- a/plugins/nemo-experimentalist/benchmarks/run.py +++ b/plugins/nemo-experimentalist/benchmarks/run.py @@ -1,7 +1,7 @@ # SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 -"""Run the canonical Terminal-Bench Experimentalist benchmark.""" +"""Run a canonical Experimentalist benchmark suite.""" import argparse import asyncio @@ -45,6 +45,7 @@ class CanonicalDatasetSpec(BaseModel): registry_url: str source_url: str expected_task_count: int = Field(gt=0) + task_id_prefix: str | None = None @property def requested_reference(self) -> str: @@ -88,6 +89,18 @@ class SuiteSpec(BaseModel): schema_version: Literal[1] dataset: CanonicalDatasetSpec partitions: PartitionsSpec + workspace: str + framework_skills: list[str] = Field(min_length=1) + + def framework_skills_dirs(self, plugin_root: Path) -> list[Path]: + """Resolve framework-skill names to directories, failing on unknown names.""" + dirs: list[Path] = [] + for name in self.framework_skills: + path = plugin_root / "framework-skills" / name + if not path.is_dir(): + raise ValueError(f"Unknown framework skill {name!r}: {path} is not a directory") + dirs.append(path) + return dirs class ModelSpec(BaseModel): @@ -95,6 +108,7 @@ class ModelSpec(BaseModel): experimentalist_smart: str experimentalist_mid: str experimentalist_fast: str + user_simulator: str | None = None class BenchmarkConfig(BaseModel): @@ -126,13 +140,23 @@ def validate_canonical_suite( *, canonical_task_ids: set[str], resolved_ref: str, -) -> None: - """Verify immutable revision, quality coverage, and all partition IDs.""" +) -> set[str]: + """Verify immutable revision, quality coverage, and all partition IDs. + + Returns the canonical task IDs scoped to this suite's domain. When the suite + sets ``task_id_prefix``, the package may hold other domains; coverage is then + enforced against the matching subset rather than the whole package. + """ if resolved_ref != suite.dataset.resolved_ref: raise ValueError( f"Dataset {suite.dataset.requested_reference} resolved to {resolved_ref}, " f"expected {suite.dataset.resolved_ref}" ) + prefix = suite.dataset.task_id_prefix + if prefix is not None: + canonical_task_ids = {task_id for task_id in canonical_task_ids if task_id.startswith(prefix)} + if not canonical_task_ids: + raise ValueError(f"No canonical tasks match task_id_prefix {prefix!r}") if len(canonical_task_ids) != suite.dataset.expected_task_count: raise ValueError( f"Canonical dataset has {len(canonical_task_ids)} tasks, expected {suite.dataset.expected_task_count}" @@ -147,6 +171,7 @@ def validate_canonical_suite( unknown_fast = sorted(set(suite.partitions.fast.all_ids()) - canonical_task_ids) if unknown_fast: raise ValueError(f"Fast partition contains unknown canonical task IDs: {unknown_fast}") + return canonical_task_ids def _configure_models(models: ModelSpec) -> None: @@ -164,6 +189,16 @@ def _configure_models(models: ModelSpec) -> None: os.environ["EXPERIMENTALIST_MID_MODEL_NAME"] = models.experimentalist_mid os.environ["EXPERIMENTALIST_FAST_MODEL_NAME"] = models.experimentalist_fast os.environ.setdefault("NEMO_EXPERIMENTALIST_RUNTIME_CACHE", str(DEFAULT_RUNTIME_CACHE)) + if models.user_simulator is not None: + # tau-style tasks run a user simulator and NL-assertion judge inside the task + # environment, which read OpenAI-style variables and need the /v1 suffix. + # Assigned rather than setdefault: an ambient OPENAI_API_KEY from the developer's + # shell would otherwise be paired with this gateway base URL and always 401. + trimmed_base = api_base.rstrip("/") + os.environ["OPENAI_API_KEY"] = api_key + os.environ["OPENAI_BASE_URL"] = trimmed_base if trimmed_base.endswith("/v1") else f"{trimmed_base}/v1" + os.environ["TAU2_USER_MODEL"] = models.user_simulator + os.environ["TAU2_NL_ASSERTIONS_MODEL"] = models.user_simulator def _agent_digest(agent_dir: Path) -> str: @@ -342,7 +377,12 @@ async def run_benchmark(args: argparse.Namespace) -> Path: package_client = PackageDatasetClient() metadata = await package_client.get_dataset_metadata(suite.dataset.requested_reference) canonical_task_ids = {task.name for task in metadata.task_ids} - validate_canonical_suite(suite, canonical_task_ids=canonical_task_ids, resolved_ref=metadata.version) + canonical_task_ids = validate_canonical_suite( + suite, canonical_task_ids=canonical_task_ids, resolved_ref=metadata.version + ) + # Resolved up front: the optimizer only needs these after the baseline evaluation, + # which is hours of image builds to discover a typo'd skill name. + framework_skills_dirs = suite.framework_skills_dirs(PLUGIN_ROOT) if args.validate_only: print( @@ -397,10 +437,10 @@ async def run_benchmark(args: argparse.Namespace) -> Path: metadata={"id": f"{benchmark_config.suite_partition}-validation", "task_ids": split.validation}, ), experiment_dir=experimentalist_dir, - workspace="canonical-terminal-bench-2-1", + workspace=suite.workspace, client=None, config=benchmark_config.optimizer, - framework_skills_dirs=[PLUGIN_ROOT / "framework-skills" / "langchain-framework"], + framework_skills_dirs=framework_skills_dirs, ) run_document = json.loads((experimentalist_dir / "eval-and-optimize" / "run.json").read_text(encoding="utf-8")) winner_label = run_document.get("winner_agent") diff --git a/plugins/nemo-experimentalist/benchmarks/suites/terminal-bench-2.1.yaml b/plugins/nemo-experimentalist/benchmarks/suites/terminal-bench-2.1.yaml index 55dfd569b8..14540acc32 100644 --- a/plugins/nemo-experimentalist/benchmarks/suites/terminal-bench-2.1.yaml +++ b/plugins/nemo-experimentalist/benchmarks/suites/terminal-bench-2.1.yaml @@ -9,6 +9,9 @@ dataset: registry_url: https://raw.githubusercontent.com/laude-institute/harbor/main/registry.json source_url: https://hub.harborframework.com/datasets/terminal-bench/terminal-bench-2-1/6 expected_task_count: 89 +workspace: canonical-terminal-bench-2-1 +framework_skills: + - langchain-framework partitions: source: commit: 1b7688ad257dacd1a3267dddb88db6cefdc31376 diff --git a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py index caab7cc8a6..cee5bcb281 100644 --- a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py +++ b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py @@ -3,6 +3,7 @@ import importlib.util import json +import os from pathlib import Path from types import ModuleType @@ -57,6 +58,123 @@ def test_shipped_benchmark_configs_use_current_contracts(name: str) -> None: assert config.optimizer.eval_author.max_validation_repair_attempts >= 0 +def test_task_id_prefix_scopes_canonical_set_to_domain() -> None: + runner = _load_runner() + suite = runner.SuiteSpec.model_validate( + { + "schema_version": 1, + "dataset": { + "name": "sierra-research/tau3-bench", + "ref": "1", + "resolved_ref": "sha256:abc", + "registry_url": "https://hub.harborframework.com", + "source_url": "https://hub.harborframework.com/datasets/sierra-research/tau3-bench", + "expected_task_count": 2, + "task_id_prefix": "pkg__banking-", + }, + "partitions": { + "source": {"commit": "deadbeef", "note": "IDs only."}, + "quality": { + "train": ["pkg__banking-1"], + "validation": ["pkg__banking-2"], + "test": ["pkg__banking-3"], + }, + "fast": { + "train": ["pkg__banking-1"], + "validation": ["pkg__banking-2"], + "test": ["pkg__banking-3"], + }, + }, + "workspace": "tau3-banking", + "framework_skills": ["nooa"], + } + ) + # Package holds two domains; only the banking three belong to this suite. + package_ids = { + "pkg__banking-1", + "pkg__banking-2", + "pkg__banking-3", + "pkg__retail-1", + "pkg__retail-2", + } + + with pytest.raises(ValueError, match="expected 2"): + runner.validate_canonical_suite(suite, canonical_task_ids=package_ids, resolved_ref="sha256:abc") + + suite.dataset.expected_task_count = 3 + scoped = runner.validate_canonical_suite(suite, canonical_task_ids=package_ids, resolved_ref="sha256:abc") + + assert scoped == {"pkg__banking-1", "pkg__banking-2", "pkg__banking-3"} + + # A prefix matching nothing is a manifest bug, not an empty suite. + suite.dataset.task_id_prefix = "nope-" + with pytest.raises(ValueError, match="task_id_prefix"): + runner.validate_canonical_suite(suite, canonical_task_ids=package_ids, resolved_ref="sha256:abc") + + +def test_suite_resolves_framework_skills_dirs_and_rejects_unknown_ones() -> None: + runner = _load_runner() + suite = runner.load_suite(BENCHMARK_ROOT / "suites" / "terminal-bench-2.1.yaml") + + assert suite.workspace == "canonical-terminal-bench-2-1" + assert suite.framework_skills == ["langchain-framework"] + assert suite.framework_skills_dirs(PLUGIN_ROOT) == [PLUGIN_ROOT / "framework-skills" / "langchain-framework"] + + suite.framework_skills = ["does-not-exist"] + with pytest.raises(ValueError, match="does-not-exist"): + suite.framework_skills_dirs(PLUGIN_ROOT) + + +def test_user_simulator_exports_task_env_credentials(monkeypatch: pytest.MonkeyPatch) -> None: + runner = _load_runner() + task_env_names = ("OPENAI_API_KEY", "OPENAI_BASE_URL", "TAU2_USER_MODEL", "TAU2_NL_ASSERTIONS_MODEL") + + def configure( + api_base: str | None, + user_simulator: str | None, + ambient: dict[str, str] | None = None, + ) -> dict[str, str]: + """Run ``_configure_models`` against a throwaway environ and return what it wrote.""" + environ = {"INFERENCE_API_KEY": "key-123", **(ambient or {})} + if api_base is not None: + environ["INFERENCE_API_BASE"] = api_base + monkeypatch.setattr(os, "environ", environ) + runner._configure_models( + runner.ModelSpec( + aut="a", + experimentalist_smart="b", + experimentalist_mid="c", + experimentalist_fast="d", + user_simulator=user_simulator, + ) + ) + return environ + + # Ambient values are seeded to prove the config wins over the developer's shell: a + # personal OPENAI_API_KEY paired with the gateway base URL would 401, and a stale + # TAU2_USER_MODEL would silently disagree with the NL-assertion judge. + exported = configure( + "https://inference-api.nvidia.com", + "openai/openai/openai/gpt-5-mini", + ambient={"OPENAI_API_KEY": "sk-personal", "TAU2_USER_MODEL": "gpt-4o-mini"}, + ) + + assert exported["OPENAI_API_KEY"] == "key-123" + # litellm inside the sidecar needs the /v1 suffix, which INFERENCE_API_BASE lacks. + assert exported["OPENAI_BASE_URL"] == "https://inference-api.nvidia.com/v1" + assert exported["TAU2_USER_MODEL"] == "openai/openai/openai/gpt-5-mini" + assert exported["TAU2_NL_ASSERTIONS_MODEL"] == "openai/openai/openai/gpt-5-mini" + + # A base already carrying /v1, and one with a trailing slash, both normalize to a + # single suffix; an unset base falls back to the default, which already has one. + for api_base in ("https://inference-api.nvidia.com/v1/", "https://inference-api.nvidia.com/", None): + assert configure(api_base, "m")["OPENAI_BASE_URL"] == "https://inference-api.nvidia.com/v1" + + # Suites without a user simulator (Terminal Bench) must not have these set for them. + without_simulator = configure("https://inference-api.nvidia.com", None) + assert [name for name in task_env_names if name in without_simulator] == [] + + def test_suite_validation_rejects_changed_dataset_revision() -> None: runner = _load_runner() suite = runner.load_suite(BENCHMARK_ROOT / "suites" / "terminal-bench-2.1.yaml") From 2bceab265befb6bc76312d7c5b1b0275d5f3454d Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Tue, 28 Jul 2026 14:17:20 -0600 Subject: [PATCH 2/8] feat(experimentalist): add the tau3-bench banking suite and configs Scopes sierra-research/tau3-bench@1 to its 97 banking_knowledge tasks. The quality partition reuses the 41/28/28 split from optimization-datasets feat/tau2-other-domains, whose tau2-banking-knowledge-NNN names map onto the canonical Hub IDs; only task IDs are recorded here, never task content. The 6/3/3 fast partition draws solely from the 87 tasks whose reward_basis is pure database state, so smoke runs score without an LLM judge. Both partitions were validated against live Harbor Hub. Signed-off-by: Aditya Pandey --- .../benchmarks/configs/tau3-quality.yaml | 34 +++++ .../benchmarks/configs/tau3-smoke.yaml | 32 ++++ .../benchmarks/suites/tau3-banking.yaml | 143 ++++++++++++++++++ .../tests/test_experimentalist_benchmark.py | 2 +- 4 files changed, 210 insertions(+), 1 deletion(-) create mode 100644 plugins/nemo-experimentalist/benchmarks/configs/tau3-quality.yaml create mode 100644 plugins/nemo-experimentalist/benchmarks/configs/tau3-smoke.yaml create mode 100644 plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml diff --git a/plugins/nemo-experimentalist/benchmarks/configs/tau3-quality.yaml b/plugins/nemo-experimentalist/benchmarks/configs/tau3-quality.yaml new file mode 100644 index 0000000000..ae953389a3 --- /dev/null +++ b/plugins/nemo-experimentalist/benchmarks/configs/tau3-quality.yaml @@ -0,0 +1,34 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +suite_partition: quality +test_attempts: 3 +models: + aut: openai/openai/openai/gpt-5-mini + experimentalist_smart: openai/openai/openai/gpt-5-mini + experimentalist_mid: openai/openai/openai/gpt-5-mini + experimentalist_fast: openai/openai/openai/gpt-5-mini + user_simulator: openai/openai/openai/gpt-5-mini +optimizer: + max_rounds: 3 + min_rounds_before_stopping: 2 + max_survivors: 2 + max_candidates: 3 + max_trajectory_tasks: 8 + max_train_batch_tasks: 16 + train_batch_seed: 20260727 + disable_trajectory_scoring: false + disable_convergence_check: false + evaluator: + n_attempts: 2 + # Keep at 3 or lower: each task requests 8192 MB and parallel image builds + # have triggered Docker Hub rate limiting and DNS failures. + n_concurrent_trials: 3 + quiet: true + agent_setup_timeout_multiplier: 2.0 + # tau3 builds two images per task, and the first build clones and installs + # tau2-bench (observed 2m36s cold, 26s warm). + environment_build_timeout_multiplier: 3.0 + eval_author: + max_traces: 10 + max_validation_repair_attempts: 5 diff --git a/plugins/nemo-experimentalist/benchmarks/configs/tau3-smoke.yaml b/plugins/nemo-experimentalist/benchmarks/configs/tau3-smoke.yaml new file mode 100644 index 0000000000..c4be604fb3 --- /dev/null +++ b/plugins/nemo-experimentalist/benchmarks/configs/tau3-smoke.yaml @@ -0,0 +1,32 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +suite_partition: fast +test_attempts: 1 +models: + aut: openai/openai/openai/gpt-5-mini + experimentalist_smart: openai/openai/openai/gpt-5-mini + experimentalist_mid: openai/openai/openai/gpt-5-mini + experimentalist_fast: openai/openai/openai/gpt-5-mini + user_simulator: openai/openai/openai/gpt-5-mini +optimizer: + max_rounds: 1 + min_rounds_before_stopping: 1 + max_survivors: 1 + max_candidates: 1 + max_trajectory_tasks: 2 + max_train_batch_tasks: 4 + train_batch_seed: 20260727 + disable_trajectory_scoring: true + disable_convergence_check: true + evaluator: + n_attempts: 1 + n_concurrent_trials: 1 + quiet: true + agent_setup_timeout_multiplier: 2.0 + # tau3 builds two images per task, and the first build clones and installs + # tau2-bench (observed 2m36s cold, 26s warm). + environment_build_timeout_multiplier: 3.0 + eval_author: + max_traces: 3 + max_validation_repair_attempts: 2 diff --git a/plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml b/plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml new file mode 100644 index 0000000000..7c7fac3d35 --- /dev/null +++ b/plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml @@ -0,0 +1,143 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +schema_version: 1 +dataset: + name: sierra-research/tau3-bench + ref: "1" + resolved_ref: sha256:a57304f682894ac061090769af771a3617664f3ff6e5417d4eadf8e30433e4d9 + registry_url: https://hub.harborframework.com + source_url: https://hub.harborframework.com/datasets/sierra-research/tau3-bench/1 + expected_task_count: 97 + task_id_prefix: tau3-bench__tau3-banking_knowledge- +workspace: canonical-tau3-banking +framework_skills: + - nooa +partitions: + source: + commit: 025ecd2ef2b518ad81f6b22d3f3937af8906fb01 + note: >- + The commit above identifies the `optimization-datasets` + `feat/tau2-other-domains` revision these train/validation/test splits were + derived from. Its `tau2-banking-knowledge-NNN` directory names map onto the + canonical `tau3-bench__tau3-banking_knowledge-task-NNN` IDs below. Task IDs + only; no task content is copied here. The fast partition draws only from the + 87 tasks whose reward basis is pure database state, so smoke runs need no + LLM judge. + quality: + train: + - tau3-bench__tau3-banking_knowledge-task-001 + - tau3-bench__tau3-banking_knowledge-task-002 + - tau3-bench__tau3-banking_knowledge-task-003 + - tau3-bench__tau3-banking_knowledge-task-008 + - tau3-bench__tau3-banking_knowledge-task-010 + - tau3-bench__tau3-banking_knowledge-task-012 + - tau3-bench__tau3-banking_knowledge-task-018 + - tau3-bench__tau3-banking_knowledge-task-019 + - tau3-bench__tau3-banking_knowledge-task-020 + - tau3-bench__tau3-banking_knowledge-task-025 + - tau3-bench__tau3-banking_knowledge-task-026 + - tau3-bench__tau3-banking_knowledge-task-027 + - tau3-bench__tau3-banking_knowledge-task-033 + - tau3-bench__tau3-banking_knowledge-task-034 + - tau3-bench__tau3-banking_knowledge-task-035 + - tau3-bench__tau3-banking_knowledge-task-040 + - tau3-bench__tau3-banking_knowledge-task-041 + - tau3-bench__tau3-banking_knowledge-task-043 + - tau3-bench__tau3-banking_knowledge-task-048 + - tau3-bench__tau3-banking_knowledge-task-049 + - tau3-bench__tau3-banking_knowledge-task-050 + - tau3-bench__tau3-banking_knowledge-task-055 + - tau3-bench__tau3-banking_knowledge-task-056 + - tau3-bench__tau3-banking_knowledge-task-057 + - tau3-bench__tau3-banking_knowledge-task-062 + - tau3-bench__tau3-banking_knowledge-task-063 + - tau3-bench__tau3-banking_knowledge-task-064 + - tau3-bench__tau3-banking_knowledge-task-069 + - tau3-bench__tau3-banking_knowledge-task-070 + - tau3-bench__tau3-banking_knowledge-task-071 + - tau3-bench__tau3-banking_knowledge-task-076 + - tau3-bench__tau3-banking_knowledge-task-077 + - tau3-bench__tau3-banking_knowledge-task-078 + - tau3-bench__tau3-banking_knowledge-task-083 + - tau3-bench__tau3-banking_knowledge-task-084 + - tau3-bench__tau3-banking_knowledge-task-085 + - tau3-bench__tau3-banking_knowledge-task-090 + - tau3-bench__tau3-banking_knowledge-task-091 + - tau3-bench__tau3-banking_knowledge-task-092 + - tau3-bench__tau3-banking_knowledge-task-097 + - tau3-bench__tau3-banking_knowledge-task-098 + validation: + - tau3-bench__tau3-banking_knowledge-task-004 + - tau3-bench__tau3-banking_knowledge-task-005 + - tau3-bench__tau3-banking_knowledge-task-014 + - tau3-bench__tau3-banking_knowledge-task-015 + - tau3-bench__tau3-banking_knowledge-task-021 + - tau3-bench__tau3-banking_knowledge-task-022 + - tau3-bench__tau3-banking_knowledge-task-028 + - tau3-bench__tau3-banking_knowledge-task-029 + - tau3-bench__tau3-banking_knowledge-task-036 + - tau3-bench__tau3-banking_knowledge-task-037 + - tau3-bench__tau3-banking_knowledge-task-044 + - tau3-bench__tau3-banking_knowledge-task-045 + - tau3-bench__tau3-banking_knowledge-task-051 + - tau3-bench__tau3-banking_knowledge-task-052 + - tau3-bench__tau3-banking_knowledge-task-058 + - tau3-bench__tau3-banking_knowledge-task-059 + - tau3-bench__tau3-banking_knowledge-task-065 + - tau3-bench__tau3-banking_knowledge-task-066 + - tau3-bench__tau3-banking_knowledge-task-072 + - tau3-bench__tau3-banking_knowledge-task-073 + - tau3-bench__tau3-banking_knowledge-task-079 + - tau3-bench__tau3-banking_knowledge-task-080 + - tau3-bench__tau3-banking_knowledge-task-086 + - tau3-bench__tau3-banking_knowledge-task-087 + - tau3-bench__tau3-banking_knowledge-task-093 + - tau3-bench__tau3-banking_knowledge-task-094 + - tau3-bench__tau3-banking_knowledge-task-100 + - tau3-bench__tau3-banking_knowledge-task-101 + test: + - tau3-bench__tau3-banking_knowledge-task-006 + - tau3-bench__tau3-banking_knowledge-task-007 + - tau3-bench__tau3-banking_knowledge-task-016 + - tau3-bench__tau3-banking_knowledge-task-017 + - tau3-bench__tau3-banking_knowledge-task-023 + - tau3-bench__tau3-banking_knowledge-task-024 + - tau3-bench__tau3-banking_knowledge-task-031 + - tau3-bench__tau3-banking_knowledge-task-032 + - tau3-bench__tau3-banking_knowledge-task-038 + - tau3-bench__tau3-banking_knowledge-task-039 + - tau3-bench__tau3-banking_knowledge-task-046 + - tau3-bench__tau3-banking_knowledge-task-047 + - tau3-bench__tau3-banking_knowledge-task-053 + - tau3-bench__tau3-banking_knowledge-task-054 + - tau3-bench__tau3-banking_knowledge-task-060 + - tau3-bench__tau3-banking_knowledge-task-061 + - tau3-bench__tau3-banking_knowledge-task-067 + - tau3-bench__tau3-banking_knowledge-task-068 + - tau3-bench__tau3-banking_knowledge-task-074 + - tau3-bench__tau3-banking_knowledge-task-075 + - tau3-bench__tau3-banking_knowledge-task-081 + - tau3-bench__tau3-banking_knowledge-task-082 + - tau3-bench__tau3-banking_knowledge-task-088 + - tau3-bench__tau3-banking_knowledge-task-089 + - tau3-bench__tau3-banking_knowledge-task-095 + - tau3-bench__tau3-banking_knowledge-task-096 + - tau3-bench__tau3-banking_knowledge-task-099 + - tau3-bench__tau3-banking_knowledge-task-102 + fast: + train: + - tau3-bench__tau3-banking_knowledge-task-001 + - tau3-bench__tau3-banking_knowledge-task-002 + - tau3-bench__tau3-banking_knowledge-task-003 + - tau3-bench__tau3-banking_knowledge-task-010 + - tau3-bench__tau3-banking_knowledge-task-018 + - tau3-bench__tau3-banking_knowledge-task-019 + validation: + - tau3-bench__tau3-banking_knowledge-task-005 + - tau3-bench__tau3-banking_knowledge-task-015 + - tau3-bench__tau3-banking_knowledge-task-021 + test: + - tau3-bench__tau3-banking_knowledge-task-006 + - tau3-bench__tau3-banking_knowledge-task-007 + - tau3-bench__tau3-banking_knowledge-task-016 diff --git a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py index cee5bcb281..23af38f8c5 100644 --- a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py +++ b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py @@ -48,7 +48,7 @@ def test_shipped_suite_covers_canonical_count_and_fast_subset() -> None: assert "install-windows-3-11" not in canonical_ids -@pytest.mark.parametrize("name", ["smoke.yaml", "quality.yaml"]) +@pytest.mark.parametrize("name", ["smoke.yaml", "quality.yaml", "tau3-smoke.yaml", "tau3-quality.yaml"]) def test_shipped_benchmark_configs_use_current_contracts(name: str) -> None: runner = _load_runner() From 1c02140656ab9289ab5458f693e51796471b6b09 Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Tue, 28 Jul 2026 14:17:34 -0600 Subject: [PATCH 3/8] feat(experimentalist): add the tau3 NOOA agent under test A NOOA CodeAct agent that reaches the tau2 domain tools over MCP from the task's tau3-runtime sidecar. AGENT-SPEC.md stays domain-generic because the policy arrives at runtime in the task instruction, and it is what the Experimentalist mutates. Three things the task images required: Installing from the committed lock uses the pip that python:3.12-slim already ships, since tau3 images carry neither uv nor the curl its installer wants. Terminal Bench's uv-upload machinery is unnecessary here because every tau3 task shares that one base image. Model credentials are handed over at exec time. A task's [environment].env only interpolates its docker-compose file, and upstream wires those variables into the sidecar; the main service declares no environment, so the agent had none. mcp_timeout.py replaces nooa 0.0.6's MCP transport, which is built without an httpx timeout and so inherits httpx's 5 second default. The sidecar runs the user simulator inside start_conversation and send_message_to_user, which take longer; the server completed the work and advanced its state, but the reply landed on an abandoned stream and nooa surfaced no timeout, so the agent hung indefinitely. Verified end to end on the fast test split: all three tasks complete with no harness error, one solved, for a 1/3 baseline the optimizer can improve on. Signed-off-by: Aditya Pandey --- .../examples/tau3-nooa-agent/AGENT-SPEC.md | 40 + .../examples/tau3-nooa-agent/README.md | 32 + .../examples/tau3-nooa-agent/agent.py | 58 + .../tau3-nooa-agent/harbor_wrapper.py | 172 ++ .../examples/tau3-nooa-agent/main.py | 15 + .../examples/tau3-nooa-agent/mcp_timeout.py | 55 + .../examples/tau3-nooa-agent/pyproject.toml | 17 + .../examples/tau3-nooa-agent/uv.lock | 1572 +++++++++++++++++ pyproject.toml | 4 +- 9 files changed, 1963 insertions(+), 2 deletions(-) create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/AGENT-SPEC.md create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/harbor_wrapper.py create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/main.py create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml create mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/AGENT-SPEC.md b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/AGENT-SPEC.md new file mode 100644 index 0000000000..bc0bbbc8c8 --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/AGENT-SPEC.md @@ -0,0 +1,40 @@ + + + +# Customer Service Agent + +You are a customer service agent handling one customer conversation to completion. + +Your domain — the products, the tools, and the policy you must follow — is described +in the task instruction you receive. Read it before acting. It is authoritative: where +this document and the task instruction disagree, follow the task instruction. + +## Shape of the conversation + +Start the conversation, then read the returned state to learn which tools this domain +offers. Alternate between listening to the customer and acting, until the request is +resolved or you have established that you cannot resolve it. Finish only when the +conversation is genuinely over. + +## Conduct + +**Establish facts before acting.** Look up the customer's actual records rather than +relying on what they assert or what seems typical. Read-only tools are cheap; a wrong +write is expensive. + +**Confirm before you change anything.** Before a tool call that modifies state, tell +the customer exactly what you are about to do and get their agreement. This applies to +each distinct change, not once for the whole conversation. + +**Never invent data.** Do not fabricate identifiers, balances, dates, prices, or +policy rules. If you need a value you do not have, look it up or ask. + +**Respect the policy's limits.** When the policy forbids an action, say so plainly and +explain what the customer can do instead. Do not improvise a workaround, and do not +carry out a request just because the customer insists. + +**One thing at a time.** Ask for one piece of information per turn. Prefer several +small verified steps over one large speculative one. + +**Handle the whole request.** A customer asking for three things needs all three +addressed, or an explicit account of which you could not do and why. diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md new file mode 100644 index 0000000000..77020d680b --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md @@ -0,0 +1,32 @@ + + + +# tau3 NOOA agent + +Agent under test for the tau3-bench suites. Uses [NOOA](https://github.com/NVIDIA-NeMo/labs-OO-Agents) +with a CodeAct strategy and reaches domain tools over MCP from the task's +`tau3-runtime` sidecar. + +`AGENT-SPEC.md` is deliberately domain-generic — the domain policy arrives at runtime +in the task instruction. It is also what the Experimentalist mutates during +optimization. + +A task's `[environment].env` only interpolates its docker-compose file, and upstream +wires those variables into the `tau3-runtime` sidecar rather than into the container +the agent runs in. `harbor_wrapper` therefore passes `OPENAI_API_KEY` and +`OPENAI_BASE_URL` through at exec time; `INFERENCE_API_KEY` / `INFERENCE_API_BASE` are +honored as a fallback when running `main.py` outside the wrapper. + +`mcp_timeout.py` exists because nooa 0.0.6 gives its MCP transport no HTTP timeout, so +httpx's 5 second default silently strands any tool call that takes longer — which the +sidecar's user-simulator calls always do. See that module for the details and for when +it can be deleted. `TAU3_MCP_TOOL_TIMEOUT_SECONDS` overrides the 300 second default. + +Run this agent through the benchmark harness rather than invoking it directly: + +```bash +uv run python benchmarks/run.py \ + --suite benchmarks/suites/tau3-banking.yaml \ + --config benchmarks/configs/tau3-smoke.yaml \ + --agent examples/tau3-nooa-agent +``` diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py new file mode 100644 index 0000000000..73f463a8b7 --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py @@ -0,0 +1,58 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import os +from datetime import timedelta + +from mcp_timeout import create_tool +from nooa import Agent, CodeActStrategy, strategy +from nooa.config import CodeActConfig +from nooa.tools import ShellTools +from nooa.tracing import enable_tracing, exporters +from nooa.unifiedllm import CompletionClient + +enable_tracing( + exporters=[ + exporters.jsonl(trace_dir="/app/traces/"), + ] +) + +# Generous because send_message_to_user blocks on the sidecar's user-simulator LLM. +MCP_TOOL_TIMEOUT_SECONDS = float(os.environ.get("TAU3_MCP_TOOL_TIMEOUT_SECONDS", "300")) + +# harbor_wrapper hands OPENAI_API_KEY/OPENAI_BASE_URL to this process, matching the +# names the tau3 task environment uses. INFERENCE_* is the fallback for running the +# agent outside the wrapper. +llm = CompletionClient( + model=os.environ.get("NEMO_AGENT_MODEL", "openai/azure/anthropic/claude-haiku-4-5"), + api_key=os.environ.get("OPENAI_API_KEY") or os.environ.get("INFERENCE_API_KEY"), + api_base=os.environ.get("OPENAI_BASE_URL") + or os.environ.get("INFERENCE_API_BASE", "https://inference-api.nvidia.com/v1"), +) + + +class Codeact(Agent, llm=llm): + def __init__(self, *args: object, **kwargs: object) -> None: + super().__init__(*args, **kwargs) + self.shell = ShellTools() + self.tau3_runtime = create_tool( + "tau3-runtime", + url=os.environ.get("TAU3_RUNTIME_URL", "http://tau3-runtime:8000/mcp"), + tool_call_timeout=timedelta(seconds=MCP_TOOL_TIMEOUT_SECONDS), + ) + + @strategy(CodeActStrategy(config=CodeActConfig(max_iterations=60))) + async def solve(self, instruction: str) -> None: + """Solve the task given the instruction. + + Start by calling ``await self.tau3_runtime.start_conversation()``. Use + the returned state and subsequent tau3-runtime tools to complete the + conversation before returning. + """ + self.context["instruction"] = instruction + self.context["mcp_usage"] = ( + "Use await self.tau3_runtime.(...) to call the " + "tau3-runtime MCP tools. Start with " + "await self.tau3_runtime.start_conversation()." + ) + ... diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/harbor_wrapper.py b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/harbor_wrapper.py new file mode 100644 index 0000000000..e8c364cf4d --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/harbor_wrapper.py @@ -0,0 +1,172 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import asyncio +import fnmatch +import glob +import json +import logging +import os +import shlex +import shutil +import tempfile +from pathlib import Path + +from harbor import AgentContext, BaseAgent, BaseEnvironment + +logger = logging.getLogger(__name__) + +AGENT_DIR = Path(__file__).parent +ARTIFACTS_DIR = "/app/artifacts" +TRACES_DIR = "/app/traces" +COLLECTED_ARTIFACTS_DIR = "/logs/artifacts" +UV_VERSION = "0.9.14" +INSTALL_ATTEMPTS = 3 +# A task's [environment].env only interpolates its docker-compose file, and upstream +# wires those variables into the tau3-runtime sidecar that hosts the user simulator and +# the judge. The main service declares no environment of its own, so the credentials the +# agent needs for its own model calls have to be handed over at exec time. +MODEL_CREDENTIAL_VARS = ("OPENAI_API_KEY", "OPENAI_BASE_URL") + +# Artifact contract: +# - Files intended for review/fetching must be written under /app/artifacts. +# - Agent traces must be written under /app/traces. +# - Verifier diagnostics should be printed by the verifier so Harbor captures them +# in verifier/test-stdout.txt; do not create custom diagnostic artifact files. +# The wrapper mirrors only these locations into /logs/artifacts for Harbor collection. + +EXCLUDE = { + "eval-and-optimize", + "__pycache__", + ".git", + ".claude", + ".uv", + ".venv", + ".env", + "traces", + "artifacts", +} +EXCLUDE_GLOB = {"output.*"} + + +class WrappedAgent(BaseAgent): + @staticmethod + def name() -> str: + return "nemo-experimentalist-tau3-nooa" + + def version(self) -> str | None: + return "1.0.0" + + async def setup(self, environment: BaseEnvironment) -> None: + """Upload agent files to the container and install dependencies.""" + for entry in AGENT_DIR.iterdir(): + name = entry.name + if name in EXCLUDE: + continue + if any(fnmatch.fnmatch(name, pat) for pat in EXCLUDE_GLOB): + continue + if entry.is_file(): + await environment.upload_file(entry, f"/app/{name}") + elif entry.is_dir(): + await environment.upload_dir(entry, f"/app/{name}") + # The tau3 task image is python:3.12-slim: it already has the interpreter the + # agent needs plus pip, but neither uv nor the curl its installer expects. + install = ( + f"cd /app && pip install --no-cache-dir --quiet uv=={UV_VERSION} && UV_HTTP_TIMEOUT=300 uv sync --frozen" + ) + for attempt in range(1, INSTALL_ATTEMPTS + 1): + proc = await environment.exec(install) + if proc.return_code == 0: + logger.info(f"[setup] {proc.stdout}") + return + logger.warning( + f"[setup] install attempt {attempt}/{INSTALL_ATTEMPTS} failed (rc={proc.return_code}): " + f"stdout={(proc.stdout or '')[-500:]} stderr={(proc.stderr or '')[-500:]}" + ) + if attempt < INSTALL_ATTEMPTS: + await asyncio.sleep(10) + raise RuntimeError( + f"Installation failed after {INSTALL_ATTEMPTS} attempts. " + f"Last error (rc={proc.return_code}): {proc.stderr or proc.stdout}" + ) + + @staticmethod + def _parse_trace_metrics(traces_dir: str) -> dict[str, int]: + def token_count(attributes: dict[str, dict[str, object]], key: str) -> int: + value = attributes.get(key, {}) + raw_count = value.get("intValue", value.get("doubleValue", 0)) + if not isinstance(raw_count, int | float | str): + raise TypeError(f"Invalid token count for {key}: {raw_count!r}") + return int(raw_count) + + n_input = n_output = n_cache = 0 + paths = glob.glob(f"{traces_dir}/**/*.jsonl", recursive=True) + if not paths: + raise FileNotFoundError(f"No JSONL traces found under {traces_dir}") + + for path in paths: + with open(path, encoding="utf-8") as trace_file: + for line_number, line in enumerate(trace_file, start=1): + line = line.strip() + if not line: + continue + try: + data = json.loads(line) + for resource_spans in data.get("resourceSpans", []): + for scope_spans in resource_spans.get("scopeSpans", []): + for span in scope_spans.get("spans", []): + attributes = { + attribute["key"]: attribute["value"] for attribute in span.get("attributes", []) + } + if attributes.get("openinference.span.kind", {}).get("stringValue") != "LLM": + continue + n_input += token_count(attributes, "llm.token_count.prompt") + n_output += token_count(attributes, "llm.token_count.completion") + n_cache += token_count( + attributes, + "llm.token_count.prompt_details.cache_read", + ) + except (AttributeError, KeyError, TypeError, ValueError, json.JSONDecodeError) as exc: + raise ValueError(f"Invalid trace data in {path}:{line_number}: {exc}") from exc + return {"n_input_tokens": n_input, "n_output_tokens": n_output, "n_cache_tokens": n_cache} + + async def run( + self, + instruction: str, + environment: BaseEnvironment, + context: AgentContext, + ) -> None: + env = {name: value for name in MODEL_CREDENTIAL_VARS if (value := os.environ.get(name))} + if self.model_name: + env["NEMO_AGENT_MODEL"] = self.model_name + proc = await environment.exec( + f"cd /app && uv run --frozen python main.py --prompt {shlex.quote(instruction.strip())}", + env=env, + ) + # download traces from container to parse token counts on the host + _tmp = tempfile.mkdtemp(prefix="agent_traces_") + metrics_error = None + try: + await environment.download_dir(TRACES_DIR, _tmp) + metrics = self._parse_trace_metrics(_tmp) + context.n_input_tokens = metrics["n_input_tokens"] + context.n_output_tokens = metrics["n_output_tokens"] + context.n_cache_tokens = metrics["n_cache_tokens"] + except (FileNotFoundError, OSError, ValueError) as exc: + metrics_error = f"Trace metrics unavailable: {type(exc).__name__}: {exc}" + logger.warning(metrics_error) + finally: + shutil.rmtree(_tmp, ignore_errors=True) + # copy the traces directory to the artifacts directory (no-op if absent) + await environment.exec(f"cp -r {TRACES_DIR} {COLLECTED_ARTIFACTS_DIR}/traces 2>/dev/null || true") + # recursive so subdirs like artifacts/traces/ survive if the agent wrote there + await environment.exec(f"sh -c 'cp -r {ARTIFACTS_DIR}/* {COLLECTED_ARTIFACTS_DIR}/ 2>/dev/null || true'") + + context.metadata = { + "stdout": proc.stdout, + "stderr": proc.stderr, + "returncode": proc.return_code, + "metrics_error": metrics_error, + } + if proc.return_code != 0: + raise RuntimeError(f"Agent process failed with exit code {proc.return_code}: {proc.stderr or proc.stdout}") diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/main.py b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/main.py new file mode 100644 index 0000000000..86ee6813b8 --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/main.py @@ -0,0 +1,15 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +import argparse +import asyncio + +from agent import Codeact + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--prompt", type=str, required=True) + args = parser.parse_args() + + agent = Codeact() + asyncio.run(agent.solve(args.prompt)) diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py new file mode 100644 index 0000000000..87be007007 --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py @@ -0,0 +1,55 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +"""Streamable-HTTP MCP client that tolerates slow tools. + +nooa 0.0.6 builds its transport with ``httpx.AsyncClient(headers=...)`` and no +``timeout``, so httpx's 5 second default governs the MCP read stream. Passing a +pre-built client also means the MCP SDK's own, more generous defaults never apply. + +The tau3-runtime sidecar drives a user-simulator LLM inside ``start_conversation`` +and ``send_message_to_user``, which take longer than 5 seconds. The server finishes +the work and the run state advances, but the reply arrives on a stream httpx has +already abandoned, and nooa never surfaces a timeout, so the agent waits forever. + +Drop this module and use ``MCPManager.create_from_server`` directly once nooa lets +callers set the transport timeout. +""" + +from collections.abc import AsyncGenerator +from contextlib import asynccontextmanager +from datetime import timedelta + +import httpx +from mcp import ClientSession +from mcp.client.streamable_http import streamable_http_client +from nooa.mcp import MCPManager, MCPStreamableHTTPClient, MCPTool + + +class SlowToolStreamableHTTPClient(MCPStreamableHTTPClient): + """``MCPStreamableHTTPClient`` whose read timeout matches ``tool_call_timeout``.""" + + @asynccontextmanager + async def connect_to_server(self) -> AsyncGenerator[ClientSession, None]: + timeout = httpx.Timeout(self.tool_call_timeout.total_seconds()) + http_client = httpx.AsyncClient(headers=self.headers or None, timeout=timeout) + async with ( + http_client, + streamable_http_client(url=self.url, http_client=http_client) as (read, write, _), + ClientSession(read, write, read_timeout_seconds=self.tool_call_timeout) as session, + ): + await session.initialize() + yield session + + +def create_tool(server_name: str, url: str, tool_call_timeout: timedelta) -> MCPTool: + """Build a tool for *server_name* that keeps nooa's generated per-tool methods. + + ``create_from_server`` discovers the server's tools and generates a class with a + method per tool, which is the interface the agent's own code calls. Discovery is + quick enough for the default transport; only the class is reused, rebound to a + client that can wait out the slow calls. + """ + discovered = MCPManager.create_from_server(server_name, url=url, transport="streamable-http") + client = SlowToolStreamableHTTPClient(url=url, tool_call_timeout=tool_call_timeout) + return type(discovered)(client, server_name) diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml new file mode 100644 index 0000000000..732b8b5af2 --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml @@ -0,0 +1,17 @@ +# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 + +[project] +name = "nemo-tau3-oo-agent" +version = "0.1.0" +description = "NOOA agent under test for tau3-bench" +readme = "README.md" +requires-python = ">=3.12,<3.14" +dependencies = [ + "mcp==1.25.0", + "nooa[tracing]", + "opentelemetry-exporter-otlp-proto-http", + "orjson==3.11.9", +] +[tool.uv.sources] +nooa = { git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git", tag = "v0.0.6" } diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock new file mode 100644 index 0000000000..1028f80c7c --- /dev/null +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock @@ -0,0 +1,1572 @@ +version = 1 +revision = 3 +requires-python = ">=3.12, <3.14" + +[[package]] +name = "aiohappyeyeballs" +version = "2.7.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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"plugins/nemo-switchyard/", - # Standalone Terminal-Bench agent-under-test: resolved from its own lockfile inside - # the benchmark's task containers, so its imports are absent from the workspace env. + # Standalone agents-under-test: each resolves from its own lockfile inside the + # benchmark's task containers, so its imports are absent from the workspace env. "plugins/nemo-experimentalist/examples/", "docs/", From ca4ff47e053b7435eb8f4224d18b046d5e054f2c Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Tue, 28 Jul 2026 14:17:35 -0600 Subject: [PATCH 4/8] docs(experimentalist): document the tau3 banking benchmark Turns the single-suite README into one that covers both suites: how a manifest carries its own workspace, framework skills, and optional domain prefix, the banking provenance and partition derivation, and the two-container topology with its memory and build-timeout consequences. Also records that upstream's tau3 Dockerfiles clone tau2-bench without a ref, so a cold layer cache can pick up newer commits than an earlier run saw. Signed-off-by: Aditya Pandey --- .../nemo-experimentalist/benchmarks/README.md | 80 +++++++++++++++---- 1 file changed, 66 insertions(+), 14 deletions(-) diff --git a/plugins/nemo-experimentalist/benchmarks/README.md b/plugins/nemo-experimentalist/benchmarks/README.md index 54d5020d8d..e14ff18c43 100644 --- a/plugins/nemo-experimentalist/benchmarks/README.md +++ b/plugins/nemo-experimentalist/benchmarks/README.md @@ -1,13 +1,25 @@ # SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 -# Canonical Experimentalist benchmark +# Canonical Experimentalist benchmarks -This benchmark measures M2 Experimentalist optimization on Harbor's unmodified -Terminal-Bench 2.1 package. It does not cover M1 Insight → Eval Author behavior -or Tau2's interactive domains. +These benchmarks measure M2 Experimentalist optimization on unmodified Harbor Hub +packages. They do not cover M1 Insight → Eval Author behavior. -## Provenance +Two suites ship today. Both store only task IDs and download task definitions into +a local cache; no task content is vendored here. + +| Suite | Package | Tasks | Agent under test | +| --- | --- | --- | --- | +| `suites/terminal-bench-2.1.yaml` (default) | `terminal-bench/terminal-bench-2-1@6` | 89 | `examples/terminal-bench-agent` (LangChain) | +| `suites/tau3-banking.yaml` | `sierra-research/tau3-bench@1`, banking scoped | 97 | `examples/tau3-nooa-agent` (NOOA) | + +A suite manifest owns its `workspace` and `framework_skills`, and may set +`task_id_prefix` to scope a multi-domain package down to one domain. Configs pair +with a suite by partition name, so `configs/smoke.yaml` and `configs/tau3-smoke.yaml` +both select the `fast` partition of whichever suite they are run against. + +## Terminal-Bench provenance The suite uses `terminal-bench/terminal-bench-2-1@6` from Harbor Hub: @@ -17,9 +29,6 @@ The suite uses `terminal-bench/terminal-bench-2-1@6` from Harbor Hub: - Harbor Hub record: -The repository stores only task IDs. Task definitions are downloaded into a -local cache and are never vendored here. - The 38/25/26 quality partition and 35/12/12 fast partition came from Gaia's `optimization-datasets` commit `1b7688ad257dacd1a3267dddb88db6cefdc31376`. The manifest corrects @@ -27,11 +36,43 @@ The 38/25/26 quality partition and 35/12/12 fast partition came from Gaia's the runner asks Harbor Hub for revision 6, verifies its content hash, and asserts that the quality partition covers all 89 canonical IDs exactly once. +## tau3 banking provenance + +The suite scopes `sierra-research/tau3-bench@1` to its `banking_knowledge` domain: + +- 97 of the package's 375 tasks, selected by the + `tau3-bench__tau3-banking_knowledge-` task-ID prefix +- dataset content hash + `sha256:a57304f682894ac061090769af771a3617664f3ff6e5417d4eadf8e30433e4d9` +- Harbor Hub record: + + +The 41/28/28 quality partition came from `optimization-datasets` +`feat/tau2-other-domains` commit `025ecd2ef2b518ad81f6b22d3f3937af8906fb01`, +whose `tau2-banking-knowledge-NNN` names map onto the canonical +`tau3-bench__tau3-banking_knowledge-task-NNN` IDs. The 6/3/3 fast partition draws +only from the 87 tasks whose `reward_basis` is pure database state, so smoke runs +score deterministically without an LLM judge. + +Each task runs two containers: a `python:3.12-slim` main container for the agent +and a `tau3-runtime` sidecar that hosts the tau2 environment over MCP and drives +the user simulator. Tau-style suites set `models.user_simulator`, which makes the +runner export `OPENAI_API_KEY`, `OPENAI_BASE_URL`, `TAU2_USER_MODEL`, and +`TAU2_NL_ASSERTIONS_MODEL` for the sidecar and the verifier. + +Tasks request 8192 MB each, so keep `n_concurrent_trials` low; the shipped tau3 +configs use 1 and 3. The first build per task clones and installs tau2-bench +upstream, which the shipped `environment_build_timeout_multiplier` of 3.0 covers. + +Because the upstream Dockerfiles clone tau2-bench without a ref, a cold Docker +layer cache can pick up newer upstream commits than an earlier run did. Reuse the +same machine's cache when comparing runs. + ## Held-out evaluation The runner: -1. evaluates the unchanged LangChain baseline on the test split; +1. evaluates the unchanged baseline agent on the test split; 2. gives only train and validation IDs to `run_experimentalist`; 3. resolves the validation-selected winner from the Experimentalist run; 4. evaluates that winner on the same test IDs and number of attempts. @@ -52,7 +93,7 @@ export INFERENCE_API_KEY=... ``` `EXPERIMENTALIST_API_KEY` may be provided instead. The runner maps either credential -to both the LangChain AUT and optimizer, using +to both the AUT and optimizer, using `https://inference-api.nvidia.com/v1` unless an API base is explicitly set. Validate provenance and task IDs without Docker or model calls: @@ -68,6 +109,15 @@ uv run python benchmarks/run.py \ --config benchmarks/configs/smoke.yaml ``` +Run the tau3 banking suite, which needs its own suite, config, and agent: + +```bash +uv run python benchmarks/run.py \ + --suite benchmarks/suites/tau3-banking.yaml \ + --config benchmarks/configs/tau3-smoke.yaml \ + --agent examples/tau3-nooa-agent +``` + Run the reproducible quality benchmark: ```bash @@ -75,10 +125,12 @@ uv run python benchmarks/run.py \ --config benchmarks/configs/quality.yaml ``` -Both setup and agent execution require network access. The AUT installs a -checksum-pinned static `uv`, uv-managed Python 3.12, and dependencies from its -committed `uv.lock` directly in each canonical task container. It does not need -the image's system Python, package manager, a sidecar, or a Docker socket. +Both setup and agent execution require network access. Each AUT installs itself +from its committed `uv.lock` inside the task container, and neither needs a Docker +socket. The Terminal-Bench agent uploads a checksum-pinned static `uv` and a +uv-managed Python 3.12, because it cannot assume anything about an arbitrary task +image. The tau3 agent instead installs a pinned `uv` with the `pip` that +`python:3.12-slim` already ships, since every tau3 task uses that base image. Pass the same `--output` directory to resume interrupted Harbor jobs. Use a new output directory for an intentionally fresh run. From ac71a38e12f342becbe3397fe5e67a8815c6fd7b Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Tue, 28 Jul 2026 15:57:39 -0600 Subject: [PATCH 5/8] refactor(experimentalist): write partition entries relative to the task-id prefix Every ID in a domain-scoped package repeats the domain prefix, so listing 109 of them buried the part that actually differs and made the banking manifest 143 lines of near-identical strings. Partition entries are now names inside the suite's task_id_prefix, joined back on at load so the rest of the runner keeps working in canonical IDs. The banking manifest drops to 50 lines and its splits are legible at a glance. Suites without a prefix, meaning Terminal Bench, are unaffected. Signed-off-by: Aditya Pandey --- .../nemo-experimentalist/benchmarks/run.py | 18 +++ .../benchmarks/suites/tau3-banking.yaml | 145 ++++-------------- .../tests/test_experimentalist_benchmark.py | 16 +- 3 files changed, 50 insertions(+), 129 deletions(-) diff --git a/plugins/nemo-experimentalist/benchmarks/run.py b/plugins/nemo-experimentalist/benchmarks/run.py index ddb9bb32aa..f484b43f43 100644 --- a/plugins/nemo-experimentalist/benchmarks/run.py +++ b/plugins/nemo-experimentalist/benchmarks/run.py @@ -92,6 +92,24 @@ class SuiteSpec(BaseModel): workspace: str framework_skills: list[str] = Field(min_length=1) + @model_validator(mode="after") + def expand_partition_task_ids(self) -> Self: + """Read partition entries as names inside the suite's ``task_id_prefix``. + + Every ID in a domain-scoped package repeats that prefix, which buries the part + that differs. Manifests write the distinguishing name and the prefix is joined + back on here, so the rest of the runner still works in canonical IDs. A manifest + that writes full IDs anyway fails the quality-coverage check with both forms in + the message. + """ + prefix = self.dataset.task_id_prefix + if prefix is None: + return self + for split in (self.partitions.quality, self.partitions.fast): + for role in ("train", "validation", "test"): + setattr(split, role, [f"{prefix}{name}" for name in getattr(split, role)]) + return self + def framework_skills_dirs(self, plugin_root: Path) -> list[Path]: """Resolve framework-skill names to directories, failing on unknown names.""" dirs: list[Path] = [] diff --git a/plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml b/plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml index 7c7fac3d35..456612a219 100644 --- a/plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml +++ b/plugins/nemo-experimentalist/benchmarks/suites/tau3-banking.yaml @@ -20,124 +20,31 @@ partitions: The commit above identifies the `optimization-datasets` `feat/tau2-other-domains` revision these train/validation/test splits were derived from. Its `tau2-banking-knowledge-NNN` directory names map onto the - canonical `tau3-bench__tau3-banking_knowledge-task-NNN` IDs below. Task IDs - only; no task content is copied here. The fast partition draws only from the - 87 tasks whose reward basis is pure database state, so smoke runs need no - LLM judge. + canonical `tau3-bench__tau3-banking_knowledge-task-NNN` IDs. Task IDs only; + no task content is copied here. The fast partition draws only from the 87 + tasks whose reward basis is pure database state, so smoke runs need no LLM + judge. quality: - train: - - tau3-bench__tau3-banking_knowledge-task-001 - - tau3-bench__tau3-banking_knowledge-task-002 - - tau3-bench__tau3-banking_knowledge-task-003 - - tau3-bench__tau3-banking_knowledge-task-008 - - tau3-bench__tau3-banking_knowledge-task-010 - - tau3-bench__tau3-banking_knowledge-task-012 - - tau3-bench__tau3-banking_knowledge-task-018 - - tau3-bench__tau3-banking_knowledge-task-019 - - tau3-bench__tau3-banking_knowledge-task-020 - - tau3-bench__tau3-banking_knowledge-task-025 - - tau3-bench__tau3-banking_knowledge-task-026 - - tau3-bench__tau3-banking_knowledge-task-027 - - tau3-bench__tau3-banking_knowledge-task-033 - - tau3-bench__tau3-banking_knowledge-task-034 - - tau3-bench__tau3-banking_knowledge-task-035 - - tau3-bench__tau3-banking_knowledge-task-040 - - tau3-bench__tau3-banking_knowledge-task-041 - - tau3-bench__tau3-banking_knowledge-task-043 - - tau3-bench__tau3-banking_knowledge-task-048 - - tau3-bench__tau3-banking_knowledge-task-049 - - tau3-bench__tau3-banking_knowledge-task-050 - - tau3-bench__tau3-banking_knowledge-task-055 - - tau3-bench__tau3-banking_knowledge-task-056 - - tau3-bench__tau3-banking_knowledge-task-057 - - tau3-bench__tau3-banking_knowledge-task-062 - - tau3-bench__tau3-banking_knowledge-task-063 - - tau3-bench__tau3-banking_knowledge-task-064 - - tau3-bench__tau3-banking_knowledge-task-069 - - tau3-bench__tau3-banking_knowledge-task-070 - - tau3-bench__tau3-banking_knowledge-task-071 - - tau3-bench__tau3-banking_knowledge-task-076 - - tau3-bench__tau3-banking_knowledge-task-077 - - tau3-bench__tau3-banking_knowledge-task-078 - - tau3-bench__tau3-banking_knowledge-task-083 - - tau3-bench__tau3-banking_knowledge-task-084 - - tau3-bench__tau3-banking_knowledge-task-085 - - tau3-bench__tau3-banking_knowledge-task-090 - - tau3-bench__tau3-banking_knowledge-task-091 - - tau3-bench__tau3-banking_knowledge-task-092 - - tau3-bench__tau3-banking_knowledge-task-097 - - tau3-bench__tau3-banking_knowledge-task-098 - validation: - - tau3-bench__tau3-banking_knowledge-task-004 - - tau3-bench__tau3-banking_knowledge-task-005 - - tau3-bench__tau3-banking_knowledge-task-014 - - tau3-bench__tau3-banking_knowledge-task-015 - - tau3-bench__tau3-banking_knowledge-task-021 - - tau3-bench__tau3-banking_knowledge-task-022 - - tau3-bench__tau3-banking_knowledge-task-028 - - tau3-bench__tau3-banking_knowledge-task-029 - - tau3-bench__tau3-banking_knowledge-task-036 - - tau3-bench__tau3-banking_knowledge-task-037 - - tau3-bench__tau3-banking_knowledge-task-044 - - tau3-bench__tau3-banking_knowledge-task-045 - - tau3-bench__tau3-banking_knowledge-task-051 - - tau3-bench__tau3-banking_knowledge-task-052 - - tau3-bench__tau3-banking_knowledge-task-058 - - tau3-bench__tau3-banking_knowledge-task-059 - - tau3-bench__tau3-banking_knowledge-task-065 - - tau3-bench__tau3-banking_knowledge-task-066 - - tau3-bench__tau3-banking_knowledge-task-072 - - tau3-bench__tau3-banking_knowledge-task-073 - - tau3-bench__tau3-banking_knowledge-task-079 - - tau3-bench__tau3-banking_knowledge-task-080 - - tau3-bench__tau3-banking_knowledge-task-086 - - tau3-bench__tau3-banking_knowledge-task-087 - - tau3-bench__tau3-banking_knowledge-task-093 - - tau3-bench__tau3-banking_knowledge-task-094 - - tau3-bench__tau3-banking_knowledge-task-100 - - tau3-bench__tau3-banking_knowledge-task-101 - test: - - tau3-bench__tau3-banking_knowledge-task-006 - - tau3-bench__tau3-banking_knowledge-task-007 - - tau3-bench__tau3-banking_knowledge-task-016 - - tau3-bench__tau3-banking_knowledge-task-017 - - tau3-bench__tau3-banking_knowledge-task-023 - - tau3-bench__tau3-banking_knowledge-task-024 - - tau3-bench__tau3-banking_knowledge-task-031 - - tau3-bench__tau3-banking_knowledge-task-032 - - tau3-bench__tau3-banking_knowledge-task-038 - - tau3-bench__tau3-banking_knowledge-task-039 - - tau3-bench__tau3-banking_knowledge-task-046 - - tau3-bench__tau3-banking_knowledge-task-047 - - tau3-bench__tau3-banking_knowledge-task-053 - - tau3-bench__tau3-banking_knowledge-task-054 - - tau3-bench__tau3-banking_knowledge-task-060 - - tau3-bench__tau3-banking_knowledge-task-061 - - tau3-bench__tau3-banking_knowledge-task-067 - - tau3-bench__tau3-banking_knowledge-task-068 - - tau3-bench__tau3-banking_knowledge-task-074 - - tau3-bench__tau3-banking_knowledge-task-075 - - tau3-bench__tau3-banking_knowledge-task-081 - - tau3-bench__tau3-banking_knowledge-task-082 - - tau3-bench__tau3-banking_knowledge-task-088 - - tau3-bench__tau3-banking_knowledge-task-089 - - tau3-bench__tau3-banking_knowledge-task-095 - - tau3-bench__tau3-banking_knowledge-task-096 - - tau3-bench__tau3-banking_knowledge-task-099 - - tau3-bench__tau3-banking_knowledge-task-102 + train: [ + task-001, task-002, task-003, task-008, task-010, task-012, task-018, task-019, task-020, + task-025, task-026, task-027, task-033, task-034, task-035, task-040, task-041, task-043, + task-048, task-049, task-050, task-055, task-056, task-057, task-062, task-063, task-064, + task-069, task-070, task-071, task-076, task-077, task-078, task-083, task-084, task-085, + task-090, task-091, task-092, task-097, task-098 + ] + validation: [ + task-004, task-005, task-014, task-015, task-021, task-022, task-028, task-029, task-036, + task-037, task-044, task-045, task-051, task-052, task-058, task-059, task-065, task-066, + task-072, task-073, task-079, task-080, task-086, task-087, task-093, task-094, task-100, + task-101 + ] + test: [ + task-006, task-007, task-016, task-017, task-023, task-024, task-031, task-032, task-038, + task-039, task-046, task-047, task-053, task-054, task-060, task-061, task-067, task-068, + task-074, task-075, task-081, task-082, task-088, task-089, task-095, task-096, task-099, + task-102 + ] fast: - train: - - tau3-bench__tau3-banking_knowledge-task-001 - - tau3-bench__tau3-banking_knowledge-task-002 - - tau3-bench__tau3-banking_knowledge-task-003 - - tau3-bench__tau3-banking_knowledge-task-010 - - tau3-bench__tau3-banking_knowledge-task-018 - - tau3-bench__tau3-banking_knowledge-task-019 - validation: - - tau3-bench__tau3-banking_knowledge-task-005 - - tau3-bench__tau3-banking_knowledge-task-015 - - tau3-bench__tau3-banking_knowledge-task-021 - test: - - tau3-bench__tau3-banking_knowledge-task-006 - - tau3-bench__tau3-banking_knowledge-task-007 - - tau3-bench__tau3-banking_knowledge-task-016 + train: [task-001, task-002, task-003, task-010, task-018, task-019] + validation: [task-005, task-015, task-021] + test: [task-006, task-007, task-016] diff --git a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py index 23af38f8c5..ddfafdc909 100644 --- a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py +++ b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py @@ -72,23 +72,19 @@ def test_task_id_prefix_scopes_canonical_set_to_domain() -> None: "expected_task_count": 2, "task_id_prefix": "pkg__banking-", }, + # Partition entries are names inside task_id_prefix, not whole IDs. "partitions": { "source": {"commit": "deadbeef", "note": "IDs only."}, - "quality": { - "train": ["pkg__banking-1"], - "validation": ["pkg__banking-2"], - "test": ["pkg__banking-3"], - }, - "fast": { - "train": ["pkg__banking-1"], - "validation": ["pkg__banking-2"], - "test": ["pkg__banking-3"], - }, + "quality": {"train": ["1"], "validation": ["2"], "test": ["3"]}, + "fast": {"train": ["1"], "validation": ["2"], "test": ["3"]}, }, "workspace": "tau3-banking", "framework_skills": ["nooa"], } ) + + assert suite.partitions.quality.train == ["pkg__banking-1"] + # Package holds two domains; only the banking three belong to this suite. package_ids = { "pkg__banking-1", From 4c36898904446f5b732f862d422321471ff04755 Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Tue, 28 Jul 2026 15:57:55 -0600 Subject: [PATCH 6/8] refactor(experimentalist): name benchmark configs after their suite A config carries the models and optimizer depth for one suite, but the original pair was named only for its partition. Once tau3-smoke.yaml and tau3-quality.yaml sat beside them, smoke.yaml and quality.yaml read as the generic pair rather than the Terminal Bench one. Signed-off-by: Aditya Pandey --- .../configs/{quality.yaml => terminal-bench-quality.yaml} | 0 .../configs/{smoke.yaml => terminal-bench-smoke.yaml} | 0 plugins/nemo-experimentalist/benchmarks/run.py | 2 +- .../tests/test_experimentalist_benchmark.py | 5 ++++- 4 files changed, 5 insertions(+), 2 deletions(-) rename plugins/nemo-experimentalist/benchmarks/configs/{quality.yaml => terminal-bench-quality.yaml} (100%) rename plugins/nemo-experimentalist/benchmarks/configs/{smoke.yaml => terminal-bench-smoke.yaml} (100%) diff --git a/plugins/nemo-experimentalist/benchmarks/configs/quality.yaml b/plugins/nemo-experimentalist/benchmarks/configs/terminal-bench-quality.yaml similarity index 100% rename from plugins/nemo-experimentalist/benchmarks/configs/quality.yaml rename to plugins/nemo-experimentalist/benchmarks/configs/terminal-bench-quality.yaml diff --git a/plugins/nemo-experimentalist/benchmarks/configs/smoke.yaml b/plugins/nemo-experimentalist/benchmarks/configs/terminal-bench-smoke.yaml similarity index 100% rename from plugins/nemo-experimentalist/benchmarks/configs/smoke.yaml rename to plugins/nemo-experimentalist/benchmarks/configs/terminal-bench-smoke.yaml diff --git a/plugins/nemo-experimentalist/benchmarks/run.py b/plugins/nemo-experimentalist/benchmarks/run.py index f484b43f43..2fe7d2e0a1 100644 --- a/plugins/nemo-experimentalist/benchmarks/run.py +++ b/plugins/nemo-experimentalist/benchmarks/run.py @@ -32,7 +32,7 @@ PLUGIN_ROOT = Path(__file__).resolve().parents[1] BENCHMARK_ROOT = Path(__file__).resolve().parent DEFAULT_SUITE = BENCHMARK_ROOT / "suites" / "terminal-bench-2.1.yaml" -DEFAULT_CONFIG = BENCHMARK_ROOT / "configs" / "smoke.yaml" +DEFAULT_CONFIG = BENCHMARK_ROOT / "configs" / "terminal-bench-smoke.yaml" DEFAULT_AGENT = PLUGIN_ROOT / "examples" / "terminal-bench-agent" DEFAULT_DATASET_CACHE = PLUGIN_ROOT / "tmp" / "benchmark-datasets" DEFAULT_RUNTIME_CACHE = PLUGIN_ROOT / "tmp" / "runtime-cache" diff --git a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py index ddfafdc909..fd6bbc7611 100644 --- a/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py +++ b/plugins/nemo-experimentalist/tests/test_experimentalist_benchmark.py @@ -48,7 +48,10 @@ def test_shipped_suite_covers_canonical_count_and_fast_subset() -> None: assert "install-windows-3-11" not in canonical_ids -@pytest.mark.parametrize("name", ["smoke.yaml", "quality.yaml", "tau3-smoke.yaml", "tau3-quality.yaml"]) +@pytest.mark.parametrize( + "name", + ["terminal-bench-smoke.yaml", "terminal-bench-quality.yaml", "tau3-smoke.yaml", "tau3-quality.yaml"], +) def test_shipped_benchmark_configs_use_current_contracts(name: str) -> None: runner = _load_runner() From 56e8d3b2e951b7ba1be581d05856792317d31e88 Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Tue, 28 Jul 2026 15:58:03 -0600 Subject: [PATCH 7/8] docs(experimentalist): trim the tau3 section to what a reader needs Drops the container topology, the memory and build-timeout guidance, and the note about upstream's unpinned tau2-bench clone. What remains mirrors the Terminal Bench section: package, hash, Hub record, partition derivation, and the one config field the suite introduces. Signed-off-by: Aditya Pandey --- .../nemo-experimentalist/benchmarks/README.md | 47 ++++++------------- 1 file changed, 15 insertions(+), 32 deletions(-) diff --git a/plugins/nemo-experimentalist/benchmarks/README.md b/plugins/nemo-experimentalist/benchmarks/README.md index e14ff18c43..8c8fc158fe 100644 --- a/plugins/nemo-experimentalist/benchmarks/README.md +++ b/plugins/nemo-experimentalist/benchmarks/README.md @@ -11,13 +11,8 @@ a local cache; no task content is vendored here. | Suite | Package | Tasks | Agent under test | | --- | --- | --- | --- | -| `suites/terminal-bench-2.1.yaml` (default) | `terminal-bench/terminal-bench-2-1@6` | 89 | `examples/terminal-bench-agent` (LangChain) | -| `suites/tau3-banking.yaml` | `sierra-research/tau3-bench@1`, banking scoped | 97 | `examples/tau3-nooa-agent` (NOOA) | - -A suite manifest owns its `workspace` and `framework_skills`, and may set -`task_id_prefix` to scope a multi-domain package down to one domain. Configs pair -with a suite by partition name, so `configs/smoke.yaml` and `configs/tau3-smoke.yaml` -both select the `fast` partition of whichever suite they are run against. +| `suites/terminal-bench-2.1.yaml` (default) | `terminal-bench/terminal-bench-2-1@6` | 89 | `examples/terminal-bench-agent` | +| `suites/tau3-banking.yaml` | `sierra-research/tau3-bench@1`, banking scoped | 97 | `examples/tau3-nooa-agent` | ## Terminal-Bench provenance @@ -54,20 +49,11 @@ whose `tau2-banking-knowledge-NNN` names map onto the canonical only from the 87 tasks whose `reward_basis` is pure database state, so smoke runs score deterministically without an LLM judge. -Each task runs two containers: a `python:3.12-slim` main container for the agent -and a `tau3-runtime` sidecar that hosts the tau2 environment over MCP and drives -the user simulator. Tau-style suites set `models.user_simulator`, which makes the -runner export `OPENAI_API_KEY`, `OPENAI_BASE_URL`, `TAU2_USER_MODEL`, and +Each task also runs a `tau3-runtime` sidecar hosting the tau2 environment and user +simulator. Tau-style suites set `models.user_simulator`, which makes the runner +export `OPENAI_API_KEY`, `OPENAI_BASE_URL`, `TAU2_USER_MODEL`, and `TAU2_NL_ASSERTIONS_MODEL` for the sidecar and the verifier. -Tasks request 8192 MB each, so keep `n_concurrent_trials` low; the shipped tau3 -configs use 1 and 3. The first build per task clones and installs tau2-bench -upstream, which the shipped `environment_build_timeout_multiplier` of 3.0 covers. - -Because the upstream Dockerfiles clone tau2-bench without a ref, a cold Docker -layer cache can pick up newer upstream commits than an earlier run did. Reuse the -same machine's cache when comparing runs. - ## Held-out evaluation The runner: @@ -106,31 +92,28 @@ Run the bounded fast benchmark: ```bash uv run python benchmarks/run.py \ - --config benchmarks/configs/smoke.yaml + --config benchmarks/configs/terminal-bench-smoke.yaml ``` -Run the tau3 banking suite, which needs its own suite, config, and agent: +Run the reproducible quality benchmark: ```bash uv run python benchmarks/run.py \ - --suite benchmarks/suites/tau3-banking.yaml \ - --config benchmarks/configs/tau3-smoke.yaml \ - --agent examples/tau3-nooa-agent + --config benchmarks/configs/terminal-bench-quality.yaml ``` -Run the reproducible quality benchmark: +A non-default suite needs its own suite, config, and agent: ```bash uv run python benchmarks/run.py \ - --config benchmarks/configs/quality.yaml + --suite benchmarks/suites/tau3-banking.yaml \ + --config benchmarks/configs/tau3-smoke.yaml \ + --agent examples/tau3-nooa-agent ``` -Both setup and agent execution require network access. Each AUT installs itself -from its committed `uv.lock` inside the task container, and neither needs a Docker -socket. The Terminal-Bench agent uploads a checksum-pinned static `uv` and a -uv-managed Python 3.12, because it cannot assume anything about an arbitrary task -image. The tau3 agent instead installs a pinned `uv` with the `pip` that -`python:3.12-slim` already ships, since every tau3 task uses that base image. +Both setup and agent execution require network access. Each AUT installs its own +dependencies from its committed `uv.lock` inside the task container and does not +need a Docker socket. Pass the same `--output` directory to resume interrupted Harbor jobs. Use a new output directory for an intentionally fresh run. From ec2ee549363ae2080ede34558ffc2279b5e7bbb5 Mon Sep 17 00:00:00 2001 From: Aditya Pandey Date: Wed, 29 Jul 2026 14:29:10 -0600 Subject: [PATCH 8/8] build(experimentalist): repin nooa to the upstream MCP timeout fix nooa built its streamable-http transport with an httpx client that had no timeout, so httpx's 5 second default governed the MCP read stream and any tool call taking longer than that hung forever. The tau3 agent hit this on every turn, because the tau3-runtime sidecar runs a user-simulator LLM inside start_conversation and send_message_to_user. That is fixed upstream in NVIDIA-NeMo/labs-OO-Agents#46, so this drops the local mcp_timeout.py shim and goes back to MCPManager.create_from_server, which now takes tool_call_timeout directly. The agent still asks for 300 seconds: nooa's 60 second default would do today but leaves no room for a slower model. The pin is a commit rather than a tag because no release carries the fix yet. The lock's extra wheel rows are generated: no package version moves except nooa. Verified against a live sidecar that start_conversation now returns in 7.3s instead of hanging, and that a full Harbor trial completes with no harness error. Signed-off-by: Aditya Pandey --- plugins/nemo-experimentalist/AGENTS.md | 8 +- plugins/nemo-experimentalist/README.md | 4 +- .../examples/tau3-nooa-agent/README.md | 8 +- .../examples/tau3-nooa-agent/agent.py | 5 +- .../examples/tau3-nooa-agent/mcp_timeout.py | 55 -- .../examples/tau3-nooa-agent/pyproject.toml | 3 +- .../examples/tau3-nooa-agent/uv.lock | 6 +- .../framework-skills/nooa/SKILL.md | 14 +- pyproject.toml | 6 +- uv.lock | 480 +++++++++++++++++- 10 files changed, 507 insertions(+), 82 deletions(-) delete mode 100644 plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py diff --git a/plugins/nemo-experimentalist/AGENTS.md b/plugins/nemo-experimentalist/AGENTS.md index 8cbeb1fbd2..446983c654 100644 --- a/plugins/nemo-experimentalist/AGENTS.md +++ b/plugins/nemo-experimentalist/AGENTS.md @@ -72,9 +72,11 @@ instead of restoring Curator imports, configuration, or aliases. The obsolete Configure Platform services, trace storage, and Insights analysis according to the Platform documentation; this repository does not own a service, scheduler, or testbed setup. -- `nooa` is pinned to a tagged public GitHub release in `pyproject.toml`. - Update the tag and lock file together. Keep the Platform-supplied Insights - plugin separate. +- `nooa` is pinned to an immutable public GitHub revision in `pyproject.toml`, + currently a commit rather than a tag because the MCP transport-timeout fix + landed after `v0.0.6`. Update the revision, the matching pin in + `examples/tau3-nooa-agent/pyproject.toml`, and both lock files together. Keep + the Platform-supplied Insights plugin separate. - This branch uses merged Platform PR 718 contracts only. After the Platform handoff lands, rebase and repin before adopting any new Platform testbed or installer interfaces. diff --git a/plugins/nemo-experimentalist/README.md b/plugins/nemo-experimentalist/README.md index 95ed0b91c0..4ccd8c7f72 100644 --- a/plugins/nemo-experimentalist/README.md +++ b/plugins/nemo-experimentalist/README.md @@ -28,8 +28,8 @@ export NEMO=/path/to/nemo-platform/.venv/bin/nemo ``` The source dependencies are pinned to tagged or immutable revisions in -`pyproject.toml`. NVIDIA-labs OO Agents (NOOA) is pinned to its public -GitHub `v0.0.6` release. +`pyproject.toml`. NVIDIA-labs OO Agents (NOOA) is pinned to a public GitHub +commit, currently one past `v0.0.6` that carries an MCP transport-timeout fix. ## Insight-to-experiment flow diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md index 77020d680b..ae72feb3a5 100644 --- a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/README.md @@ -17,10 +17,10 @@ the agent runs in. `harbor_wrapper` therefore passes `OPENAI_API_KEY` and `OPENAI_BASE_URL` through at exec time; `INFERENCE_API_KEY` / `INFERENCE_API_BASE` are honored as a fallback when running `main.py` outside the wrapper. -`mcp_timeout.py` exists because nooa 0.0.6 gives its MCP transport no HTTP timeout, so -httpx's 5 second default silently strands any tool call that takes longer — which the -sidecar's user-simulator calls always do. See that module for the details and for when -it can be deleted. `TAU3_MCP_TOOL_TIMEOUT_SECONDS` overrides the 300 second default. +The agent raises nooa's `tool_call_timeout` to 300 seconds, overridable with +`TAU3_MCP_TOOL_TIMEOUT_SECONDS`, because the sidecar runs a user-simulator LLM inside +`start_conversation` and `send_message_to_user`. The default of 60 seconds would be +enough today, but leaves no room for a slower model. Run this agent through the benchmark harness rather than invoking it directly: diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py index 73f463a8b7..531e883c48 100644 --- a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/agent.py @@ -4,9 +4,9 @@ import os from datetime import timedelta -from mcp_timeout import create_tool from nooa import Agent, CodeActStrategy, strategy from nooa.config import CodeActConfig +from nooa.mcp import MCPManager from nooa.tools import ShellTools from nooa.tracing import enable_tracing, exporters from nooa.unifiedllm import CompletionClient @@ -35,9 +35,10 @@ class Codeact(Agent, llm=llm): def __init__(self, *args: object, **kwargs: object) -> None: super().__init__(*args, **kwargs) self.shell = ShellTools() - self.tau3_runtime = create_tool( + self.tau3_runtime = MCPManager.create_from_server( "tau3-runtime", url=os.environ.get("TAU3_RUNTIME_URL", "http://tau3-runtime:8000/mcp"), + transport="streamable-http", tool_call_timeout=timedelta(seconds=MCP_TOOL_TIMEOUT_SECONDS), ) diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py deleted file mode 100644 index 87be007007..0000000000 --- a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/mcp_timeout.py +++ /dev/null @@ -1,55 +0,0 @@ -# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# SPDX-License-Identifier: Apache-2.0 - -"""Streamable-HTTP MCP client that tolerates slow tools. - -nooa 0.0.6 builds its transport with ``httpx.AsyncClient(headers=...)`` and no -``timeout``, so httpx's 5 second default governs the MCP read stream. Passing a -pre-built client also means the MCP SDK's own, more generous defaults never apply. - -The tau3-runtime sidecar drives a user-simulator LLM inside ``start_conversation`` -and ``send_message_to_user``, which take longer than 5 seconds. The server finishes -the work and the run state advances, but the reply arrives on a stream httpx has -already abandoned, and nooa never surfaces a timeout, so the agent waits forever. - -Drop this module and use ``MCPManager.create_from_server`` directly once nooa lets -callers set the transport timeout. -""" - -from collections.abc import AsyncGenerator -from contextlib import asynccontextmanager -from datetime import timedelta - -import httpx -from mcp import ClientSession -from mcp.client.streamable_http import streamable_http_client -from nooa.mcp import MCPManager, MCPStreamableHTTPClient, MCPTool - - -class SlowToolStreamableHTTPClient(MCPStreamableHTTPClient): - """``MCPStreamableHTTPClient`` whose read timeout matches ``tool_call_timeout``.""" - - @asynccontextmanager - async def connect_to_server(self) -> AsyncGenerator[ClientSession, None]: - timeout = httpx.Timeout(self.tool_call_timeout.total_seconds()) - http_client = httpx.AsyncClient(headers=self.headers or None, timeout=timeout) - async with ( - http_client, - streamable_http_client(url=self.url, http_client=http_client) as (read, write, _), - ClientSession(read, write, read_timeout_seconds=self.tool_call_timeout) as session, - ): - await session.initialize() - yield session - - -def create_tool(server_name: str, url: str, tool_call_timeout: timedelta) -> MCPTool: - """Build a tool for *server_name* that keeps nooa's generated per-tool methods. - - ``create_from_server`` discovers the server's tools and generates a class with a - method per tool, which is the interface the agent's own code calls. Discovery is - quick enough for the default transport; only the class is reused, rebound to a - client that can wait out the slow calls. - """ - discovered = MCPManager.create_from_server(server_name, url=url, transport="streamable-http") - client = SlowToolStreamableHTTPClient(url=url, tool_call_timeout=tool_call_timeout) - return type(discovered)(client, server_name) diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml index 732b8b5af2..a283668c72 100644 --- a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/pyproject.toml @@ -14,4 +14,5 @@ dependencies = [ "orjson==3.11.9", ] [tool.uv.sources] -nooa = { git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git", tag = "v0.0.6" } +# Keep in step with the workspace root pin. +nooa = { git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git", rev = "bea4614a0e2a6cf88f76225466159af883da80a0" } diff --git a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock index 1028f80c7c..00440ced9c 100644 --- a/plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock +++ b/plugins/nemo-experimentalist/examples/tau3-nooa-agent/uv.lock @@ -730,15 +730,15 @@ dependencies = [ [package.metadata] requires-dist = [ { name = "mcp", specifier = "==1.25.0" }, - { name = "nooa", extras = ["tracing"], git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git?tag=v0.0.6" }, + { name = "nooa", extras = ["tracing"], git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git?rev=bea4614a0e2a6cf88f76225466159af883da80a0" }, { name = "opentelemetry-exporter-otlp-proto-http" }, { name = "orjson", specifier = "==3.11.9" }, ] [[package]] name = "nooa" -version = "0.0.6" -source = { git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git?tag=v0.0.6#be0aad9db6cbce9b6a62ff08e3680284af091d6f" } +version = "0.0.7.dev46" +source = { git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git?rev=bea4614a0e2a6cf88f76225466159af883da80a0#bea4614a0e2a6cf88f76225466159af883da80a0" } dependencies = [ { name = "httpx" }, { name = "litellm" }, diff --git a/plugins/nemo-experimentalist/framework-skills/nooa/SKILL.md b/plugins/nemo-experimentalist/framework-skills/nooa/SKILL.md index 408f9cb421..04ce676323 100644 --- a/plugins/nemo-experimentalist/framework-skills/nooa/SKILL.md +++ b/plugins/nemo-experimentalist/framework-skills/nooa/SKILL.md @@ -1,10 +1,10 @@ --- name: nooa description: Build, modify, debug, or optimize agents using NVIDIA-labs OO Agents (NOOA). Use for nooa.Agent subclasses, ellipsis generation methods, CodeAct or Predict strategies, ShellTools, Skill/TextSkill, context and persistence, MCP, tracing, middleware, channels, or trace analysis. -compatibility: Python >= 3.12,<3.14; uv; nooa v0.0.6 +compatibility: Python >= 3.12,<3.14; uv; nooa at the revision pinned in pyproject.toml metadata: upstream: https://github.com/NVIDIA-NeMo/labs-OO-Agents - revision: v0.0.6 + revision: bea4614a0e2a6cf88f76225466159af883da80a0 --- @@ -13,9 +13,9 @@ metadata: Use the `nooa` package and namespace pinned in this repository. -For detailed framework guidance, consult the immutable upstream `v0.0.6` -skills: -https://github.com/NVIDIA-NeMo/labs-OO-Agents/tree/v0.0.6/skills +For detailed framework guidance, consult the skills at the immutable upstream +revision this repository pins: +https://github.com/NVIDIA-NeMo/labs-OO-Agents/tree/bea4614a0e2a6cf88f76225466159af883da80a0/skills Before changing framework behavior, inspect the pinned implementation or the matching upstream skill instead of guessing. In Optimizer: @@ -23,8 +23,8 @@ matching upstream skill instead of guessing. In Optimizer: - Call `super().__init__()` before attaching tools or skills. - Use `GuardedShellTools` where workspace access must remain restricted. - Hide internal skill registries with `spec(self, "skills", hidden=True)`. -- Keep the explicit `orjson==3.11.9` workaround required by the v0.0.6 - LiteLLM tool-call path. +- Keep the explicit `orjson==3.11.9` workaround required by nooa's LiteLLM + tool-call path. ## Verification diff --git a/pyproject.toml b/pyproject.toml index c2642e13a7..219842fe54 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -369,8 +369,10 @@ nmp-build-tools = { workspace = true } nemo-platform-plugin = { workspace = true } nemo-insights-plugin = { workspace = true } nemo-experimentalist-plugin = { workspace = true } -# Not published to PyPI yet; pinned to an immutable public tag. -nooa = { git = "https://github.com/NVIDIA-NeMo/labs-OO-Agents.git", tag = "v0.0.6" } +# Not published to PyPI yet, so this pins an immutable public commit. 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