From 3a704a02032bb3ddc5a8e698c61665d6d4a93e1e Mon Sep 17 00:00:00 2001 From: Vishal Doshi Date: Tue, 9 Dec 2025 09:29:38 -0500 Subject: [PATCH 1/7] Add text files to gitignore. --- .gitignore | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.gitignore b/.gitignore index aab6656..eed1bde 100644 --- a/.gitignore +++ b/.gitignore @@ -7,3 +7,7 @@ secrets.toml .vscode/ .coverage* .cache +*.csv +*.txt +*.json +*.jsonl From dc428ede0a6a1dacfe0c0a5ee30f583bcf4c7a68 Mon Sep 17 00:00:00 2001 From: Vishal Doshi Date: Tue, 9 Dec 2025 10:59:36 -0500 Subject: [PATCH 2/7] Add tests to confirm mlflow versions match for all dependencies. * Update where needed. --- .github/workflows/tests.yml | 9 ++- Dockerfile.mlflow | 5 +- poetry.lock | 115 ++++++++++++++++++++++++++++++- pyproject.toml | 7 +- scripts/check_mlflow_versions.sh | 78 +++++++++++++++++++++ 5 files changed, 207 insertions(+), 7 deletions(-) create mode 100755 scripts/check_mlflow_versions.sh diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index ef0d7b2..6d86132 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -8,7 +8,7 @@ on: workflow_dispatch: inputs: branch: - description: 'Branch' + description: "Branch" required: true default: main @@ -27,6 +27,9 @@ jobs: with: python-version: "3.12" + - name: Verify MLflow versions match + run: ./scripts/check_mlflow_versions.sh + - name: Start MLflow server (no jupyter) run: | ./start_services.sh --no-jupyter -d @@ -34,6 +37,9 @@ jobs: - name: Install poetry run: pipx install "poetry == 1.8.5" + - name: Check poetry lock file + run: poetry check --lock + - name: Remove existing virtual environment run: | poetry env remove python || true @@ -75,6 +81,5 @@ jobs: run: | docker exec modelplane-jupyter-1 poetry run python /app/test_notebooks.py - - name: Stop MLflow server run: docker compose down diff --git a/Dockerfile.mlflow b/Dockerfile.mlflow index b6336fb..ad01842 100644 --- a/Dockerfile.mlflow +++ b/Dockerfile.mlflow @@ -3,6 +3,5 @@ FROM ghcr.io/mlflow/mlflow:v3.1.1 # The base image does not include various dependencies that are needed for # the MLflow server. We assume a postgres backend, so we need psycopg2. # We also need boto3 for S3 support, and google-cloud-storage for GCS support. -# TODO: better way to install these (maybe using poetry.lock to grab consistent versions?) -RUN pip install mlflow[auth]==3.1.1 psycopg2-binary==2.9.10 boto3==1.38.31 \ - google-cloud-storage==3.1.0 +RUN pip install mlflow[auth]==3.1.1 psycopg2-binary==2.9.11 boto3==1.40.42 \ + google-cloud-storage==3.4.0 diff --git a/poetry.lock b/poetry.lock index 07effa1..6ded3cc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2034,6 +2034,25 @@ werkzeug = ">=3.1.0" async = ["asgiref (>=3.2)"] dotenv = ["python-dotenv"] +[[package]] +name = "flask-wtf" +version = "1.2.2" +description = "Form rendering, validation, and CSRF protection for Flask with WTForms." +optional = false +python-versions = ">=3.9" +files = [ + {file = "flask_wtf-1.2.2-py3-none-any.whl", hash = "sha256:e93160c5c5b6b571cf99300b6e01b72f9a101027cab1579901f8b10c5daf0b70"}, + {file = 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"8bf3a7bedcf2ae4049373a46e73ca9be6961c8c6" } -mlflow = "3.1.1" +mlflow = { extras = ["auth"], version = "3.1.1" } python-dotenv = "^1" requests = "^2" prometheus-client = "*" # version controlled by dependencies @@ -37,6 +37,11 @@ ipython = "<9" pytest = "^8" pytest-cov = "^6" +[tool.poetry.group.mlflow.dependencies] +psycopg2-binary = "^2.9.10" +boto3 = "^1.38.31" +google-cloud-storage = "^3.1.0" + [tool.poetry.scripts] modelplane = "modelplane.cli:cli" diff --git a/scripts/check_mlflow_versions.sh b/scripts/check_mlflow_versions.sh new file mode 100755 index 0000000..7585fea --- /dev/null +++ b/scripts/check_mlflow_versions.sh @@ -0,0 +1,78 @@ +#!/usr/bin/env bash +set -uo pipefail + +pyproject="pyproject.toml" +dockerfile="Dockerfile.mlflow" +poetry_lock="poetry.lock" + +for file in "${pyproject}" "${dockerfile}" "${poetry_lock}"; do + [[ -f "${file}" ]] || { echo "Missing ${file}" >&2; exit 1; } +done + +pyproject_mlflow_version="$(grep '^mlflow[[:space:]]*=' "${pyproject}" | head -n1 | sed -E 's/.*version[[:space:]]*=[[:space:]]*"([^"]+)".*/\1/')" +if [[ -z "${pyproject_mlflow_version}" ]]; then + echo "Unable to determine mlflow version from ${pyproject}" >&2 + exit 1 +fi + +docker_image_version="$(head -n1 "${dockerfile}" | cut -d ':' -f2 | tr -d 'v')" +if [[ -z "${docker_image_version}" ]]; then + echo "Unable to determine base image version from ${dockerfile}" >&2 + exit 1 +fi +docker_mlflow_version="$(grep -o 'mlflow\[auth\]==[^[:space:]]*' "${dockerfile}" | head -n1 | cut -d '=' -f3)" +if [[ -z "${docker_mlflow_version}" ]]; then + echo "Unable to determine mlflow version from ${dockerfile}" >&2 + exit 1 +fi + +mismatches=0 + +if [[ "${pyproject_mlflow_version}" != "${docker_image_version}" ]]; then + echo "Mismatch: pyproject mlflow (${pyproject_mlflow_version}) vs Docker base (${docker_image_version})" >&2 + mismatches=$((mismatches + 1)) +fi + +if [[ "${pyproject_mlflow_version}" != "${docker_mlflow_version}" ]]; then + echo "Mismatch: pyproject mlflow (${pyproject_mlflow_version}) vs Docker pip install (${docker_mlflow_version})" >&2 + mismatches=$((mismatches + 1)) +fi + +lock_version() { + local pkg="$1" + local name_line + name_line="$(grep -n "^name = \"${pkg}\"$" "${poetry_lock}" | head -n1)" + [[ -z "${name_line}" ]] && return 1 + local line_number="${name_line%%:*}" + sed -n "$((line_number + 1))p" "${poetry_lock}" | cut -d '"' -f2 +} + +check_dep() { + local pkg="$1" + local token + token="$(grep -o "${pkg}==[^[:space:]]*" "${dockerfile}" | head -n1)" + local docker_version="${token##*==}" + local lock_version_value="$(lock_version "${pkg}")" + + if [[ -z "${docker_version}" || -z "${lock_version_value}" ]]; then + echo "Unable to resolve ${pkg} in Dockerfile or poetry.lock" >&2 + mismatches=$((mismatches + 1)) + return + fi + + if [[ "${docker_version}" != "${lock_version_value}" ]]; then + echo "Mismatch: ${pkg} Docker (${docker_version}) vs poetry.lock (${lock_version_value})" >&2 + mismatches=$((mismatches + 1)) + fi +} + +# Other dependencies from the dockerfile +check_dep "psycopg2-binary" +check_dep "boto3" +check_dep "google-cloud-storage" + +if [[ ${mismatches} -ne 0 ]]; then + exit 1 +fi + +echo "Dependency versions are consistent (${pyproject_mlflow_version})." From b48715c426a618af902534b69f9619471ef296e9 Mon Sep 17 00:00:00 2001 From: Vishal Doshi Date: Tue, 9 Dec 2025 13:05:11 -0500 Subject: [PATCH 3/7] Upgrade mlflow and modelbench --- .github/workflows/tests.yml | 6 +- Dockerfile.mlflow | 6 +- docker-compose.yaml | 6 +- poetry.lock | 6006 ++++++++++++++++-------------- pyproject.toml | 10 +- scripts/check_mlflow_versions.sh | 17 +- 6 files changed, 3260 insertions(+), 2791 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 6d86132..01e6712 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -27,9 +27,6 @@ jobs: with: python-version: "3.12" - - name: Verify MLflow versions match - run: ./scripts/check_mlflow_versions.sh - - name: Start MLflow server (no jupyter) run: | ./start_services.sh --no-jupyter -d @@ -37,6 +34,9 @@ jobs: - name: Install poetry run: pipx install "poetry == 1.8.5" + - name: Verify MLflow versions match + run: ./scripts/check_mlflow_versions.sh + - name: Check poetry lock file run: poetry check --lock diff --git a/Dockerfile.mlflow b/Dockerfile.mlflow index ad01842..2f28b2b 100644 --- a/Dockerfile.mlflow +++ b/Dockerfile.mlflow @@ -1,7 +1,7 @@ -FROM ghcr.io/mlflow/mlflow:v3.1.1 +FROM ghcr.io/mlflow/mlflow:v3.7.0 # The base image does not include various dependencies that are needed for # the MLflow server. We assume a postgres backend, so we need psycopg2. # We also need boto3 for S3 support, and google-cloud-storage for GCS support. -RUN pip install mlflow[auth]==3.1.1 psycopg2-binary==2.9.11 boto3==1.40.42 \ - google-cloud-storage==3.4.0 +RUN pip install mlflow[auth]==3.7.0 psycopg2-binary==2.9.11 boto3==1.42.5 \ + google-cloud-storage==3.4.1 diff --git a/docker-compose.yaml b/docker-compose.yaml index 80c9760..a4c5e80 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -27,6 +27,9 @@ services: GOOGLE_APPLICATION_CREDENTIALS: /creds/gcp-key.json # if not provided via volume below, AWS S3 will not work as artifact store AWS_SHARED_CREDENTIALS_FILE: /creds/aws-credentials + # https://mlflow.org/docs/latest/community/usage-tracking/ + MLFLOW_DISABLE_TELEMETRY: "true" + DO_NOT_TRACK: "true" depends_on: - postgres # grab backend from .env, pass artifact root, if provided, otherwise local storage of artifacts @@ -37,6 +40,7 @@ services: --serve-artifacts --host 0.0.0.0 --port 8080 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"https://github.com/mlcommons/modelbench.git", rev = "57d4aedf780d0d58d9e4001d1674a821362be0a2" } +mlflow = { extras = ["auth"], version = "3.7.0" } python-dotenv = "^1" requests = "^2" prometheus-client = "*" # version controlled by dependencies @@ -25,10 +25,6 @@ jupyter = "^1" jupyterlab-git = "*" scikit-learn = "^1.5.0" pandas = "^2.2.2" -modelbench-private = { git = "git@github.com:mlcommons/modelbench-private.git", rev = "44009d7ceba30931dd3fc15af4df22399ee6e0e0", optional = true } - -[tool.poetry.extras] -modelbench-private = ["modelbench-private"] [tool.poetry.group.dev.dependencies] ipython = "<9" diff --git a/scripts/check_mlflow_versions.sh b/scripts/check_mlflow_versions.sh index 7585fea..9b23731 100755 --- a/scripts/check_mlflow_versions.sh +++ b/scripts/check_mlflow_versions.sh @@ -38,21 +38,18 @@ if [[ "${pyproject_mlflow_version}" != "${docker_mlflow_version}" ]]; then mismatches=$((mismatches + 1)) fi -lock_version() { - local pkg="$1" - local name_line - name_line="$(grep -n "^name = \"${pkg}\"$" "${poetry_lock}" | head -n1)" - [[ -z "${name_line}" ]] && return 1 - local line_number="${name_line%%:*}" - sed -n "$((line_number + 1))p" "${poetry_lock}" | cut -d '"' -f2 -} - check_dep() { local pkg="$1" local token token="$(grep -o "${pkg}==[^[:space:]]*" "${dockerfile}" | head -n1)" local docker_version="${token##*==}" - local lock_version_value="$(lock_version "${pkg}")" + local lock_version_value="$(\ + poetry show "${pkg}" 2>/dev/null \ + | sed -n 's/version[[:space:]]*: //p' \ + | head -n1 \ + | tr -d '[:space:]' + )" + if [[ -z "${docker_version}" || -z "${lock_version_value}" ]]; then echo "Unable to resolve ${pkg} in Dockerfile or poetry.lock" >&2 From eaf90876248d44d783142cbca47a0af1834e792b Mon Sep 17 00:00:00 2001 From: Vishal Doshi Date: Tue, 9 Dec 2025 14:10:51 -0500 Subject: [PATCH 4/7] Align with latest modelbench and fix tests. --- src/modelplane/cli.py | 22 +++----- src/modelplane/runways/annotator.py | 72 ++++++++----------------- src/modelplane/runways/lister.py | 2 +- tests/it/runways/half_safe_annotator.py | 28 ++++------ tests/unit/test_lister.py | 5 +- 5 files changed, 42 insertions(+), 87 deletions(-) diff --git a/src/modelplane/cli.py b/src/modelplane/cli.py index ca75622..80e96d9 100644 --- a/src/modelplane/cli.py +++ b/src/modelplane/cli.py @@ -1,11 +1,10 @@ from typing import List import click +from modelgauge.data_schema import DEFAULT_ANNOTATION_SCHEMA +from modelgauge.ensemble_strategies import ENSEMBLE_STRATEGIES -from modelgauge.data_schema import DEFAULT_ANNOTATION_SCHEMA as ANNOTATION_SCHEMA -from modelgauge.ensemble_annotator_set import ENSEMBLE_STRATEGIES - -from modelplane.runways.annotator import annotate, KNOWN_ENSEMBLES +from modelplane.runways.annotator import annotate from modelplane.runways.lister import ( list_annotators, list_ensemble_strategies, @@ -152,13 +151,6 @@ def get_sut_responses( help="The ensemble strategy to use. If set, individual annotator results will be combined using the given strategy. " "Available strategies: " + ", ".join(list(ENSEMBLE_STRATEGIES.keys())), ) -@click.option( - "--ensemble_id", - type=str, - default=None, - help="Use a fixed ensemble id to use a predefined ensemble strategy. Options include: " - + ", ".join(list(KNOWN_ENSEMBLES.keys())), -) @click.option( "--overwrite", is_flag=True, @@ -204,12 +196,11 @@ def get_sut_responses( @load_from_dotenv def get_annotations( experiment: str, + annotator_id: List[str], dvc_repo: str | None = None, response_file: str | None = None, response_run_id: str | None = None, - annotator_id: List[str] | None = None, ensemble_strategy: str | None = None, - ensemble_id: str | None = None, overwrite: bool = False, disable_cache: bool = False, num_workers: int = 1, @@ -225,7 +216,6 @@ def get_annotations( response_run_id=response_run_id, annotator_ids=annotator_id, ensemble_strategy=ensemble_strategy, - ensemble_id=ensemble_id, overwrite=overwrite, disable_cache=disable_cache, num_workers=num_workers, @@ -285,8 +275,8 @@ def score_annotations( ground_truth: str, dvc_repo: str | None = None, sample_uid_col: str | None = None, - annotator_uid_col: str = ANNOTATION_SCHEMA.annotator_uid, - annotation_col: str = ANNOTATION_SCHEMA.annotation, + annotator_uid_col: str | None = DEFAULT_ANNOTATION_SCHEMA.annotator_uid, + annotation_col: str | None = DEFAULT_ANNOTATION_SCHEMA.annotation, ): return score( annotation_run_id=annotation_run_id, diff --git a/src/modelplane/runways/annotator.py b/src/modelplane/runways/annotator.py index 153ec5f..fbb2565 100644 --- a/src/modelplane/runways/annotator.py +++ b/src/modelplane/runways/annotator.py @@ -11,12 +11,18 @@ from matplotlib import pyplot as plt from modelgauge.annotator import Annotator from modelgauge.annotator_registry import ANNOTATORS -from modelgauge.annotator_set import AnnotatorSet from modelgauge.dataset import AnnotationDataset -from modelgauge.ensemble_annotator_set import ENSEMBLE_STRATEGIES, EnsembleAnnotatorSet +from modelgauge.ensemble_annotator import EnsembleAnnotator +from modelgauge.ensemble_strategies import ENSEMBLE_STRATEGIES from modelgauge.pipeline_runner import build_runner from modelplane.mlflow.loghelpers import log_tags +from modelplane.runways.data import ( + Artifact, + BaseInput, + RunArtifacts, + build_and_log_input, +) from modelplane.runways.utils import ( CACHE_DIR, MODELGAUGE_RUN_TAG_NAME, @@ -27,32 +33,16 @@ is_debug_mode, setup_annotator_credentials, ) -from modelplane.runways.data import ( - Artifact, - BaseInput, - RunArtifacts, - build_and_log_input, -) - -KNOWN_ENSEMBLES: Dict[str, AnnotatorSet] = {} -# try to load the private ensemble -try: - from modelgauge.private_ensemble_annotator_set import PRIVATE_ANNOTATOR_SET - - KNOWN_ENSEMBLES["official-1.0"] = PRIVATE_ANNOTATOR_SET -except NotImplementedError: - pass def annotate( experiment: str, + annotator_ids: List[str], input_object: BaseInput | None = None, dvc_repo: str | None = None, response_file: str | None = None, response_run_id: str | None = None, - annotator_ids: List[str] | None = None, ensemble_strategy: str | None = None, - ensemble_id: str | None = None, overwrite: bool = False, disable_cache: bool = False, num_workers: int = 1, @@ -65,9 +55,7 @@ def annotate( Run annotations and record measurements. """ # this will set annotator_ids and optionally ensemble - pipeline_kwargs = _get_annotator_settings( - annotator_ids, ensemble_strategy, ensemble_id - ) + pipeline_kwargs = _get_annotator_settings(annotator_ids, ensemble_strategy) if not disable_cache: pipeline_kwargs["cache_dir"] = CACHE_DIR pipeline_kwargs["num_workers"] = num_workers @@ -83,8 +71,6 @@ def annotate( ) if ensemble_strategy is not None: tags["ensemble_strategy"] = ensemble_strategy - if ensemble_id is not None: - tags["ensemble_id"] = ensemble_id experiment_id = get_experiment_id(experiment) if overwrite and response_run_id: @@ -155,38 +141,26 @@ def annotate( def _get_annotator_settings( - annotator_ids: List[str] | None, + annotator_ids: List[str], ensemble_strategy: str | None, - ensemble_id: str | None, ) -> Dict[str, Any]: kwargs = {} - if not ((annotator_ids is not None) ^ (ensemble_id is not None)): - raise ValueError("Either annotator_ids or ensemble_id must be provided.") - if annotator_ids is not None: - kwargs["annotators"] = _get_annotators(annotator_ids) - - if ensemble_strategy is not None: - if ensemble_strategy not in ENSEMBLE_STRATEGIES: - raise ValueError( - f"Unknown ensemble strategy: {ensemble_strategy}. " - f"Available strategies: {list(ENSEMBLE_STRATEGIES.keys())}" - ) - kwargs["ensemble"] = EnsembleAnnotatorSet( - annotators=annotator_ids, - strategy=ENSEMBLE_STRATEGIES[ensemble_strategy], - ) - return kwargs - else: - if ensemble_id not in KNOWN_ENSEMBLES: + kwargs["annotators"] = _get_annotators(annotator_ids) + + if ensemble_strategy is not None: + if ensemble_strategy not in ENSEMBLE_STRATEGIES: raise ValueError( - f"Unknown ensemble_id: {ensemble_id}. " - f"Available strategies: {list(KNOWN_ENSEMBLES.keys())}" + f"Unknown ensemble strategy: {ensemble_strategy}. " + f"Available strategies: {list(ENSEMBLE_STRATEGIES.keys())}" ) - kwargs["ensemble"] = KNOWN_ENSEMBLES[ensemble_id] - kwargs["annotators"] = _get_annotators(KNOWN_ENSEMBLES[ensemble_id].annotators) - return kwargs + kwargs["ensemble"] = EnsembleAnnotator( + uid="ensemble", + annotators=annotator_ids, + ensemble_strategy=ensemble_strategy, + ) + return kwargs def _get_annotators(annotator_ids: List[str]) -> Dict[str, Annotator]: diff --git a/src/modelplane/runways/lister.py b/src/modelplane/runways/lister.py index 9fab845..b28b517 100644 --- a/src/modelplane/runways/lister.py +++ b/src/modelplane/runways/lister.py @@ -1,5 +1,5 @@ from modelgauge.annotator_registry import ANNOTATORS -from modelgauge.ensemble_annotator_set import ENSEMBLE_STRATEGIES +from modelgauge.ensemble_strategies import ENSEMBLE_STRATEGIES from modelgauge.sut_registry import SUTS diff --git a/tests/it/runways/half_safe_annotator.py b/tests/it/runways/half_safe_annotator.py index d2738fc..e18c102 100644 --- a/tests/it/runways/half_safe_annotator.py +++ b/tests/it/runways/half_safe_annotator.py @@ -1,13 +1,9 @@ -import random - -from pydantic import BaseModel - -from modelgauge.annotator import CompletionAnnotator +from modelgauge.annotation import SafetyAnnotation +from modelgauge.annotator import Annotator from modelgauge.annotator_registry import ANNOTATORS -from modelgauge.annotators.llama_guard_annotator import LlamaGuardAnnotation from modelgauge.prompt import ChatPrompt, TextPrompt from modelgauge.sut import SUTResponse -from modelgauge.tests.safe_v1 import BaseSafeTestVersion1 +from pydantic import BaseModel class AnnotationRequest(BaseModel): @@ -15,9 +11,8 @@ class AnnotationRequest(BaseModel): response: SUTResponse -class TestAnnotator(CompletionAnnotator[LlamaGuardAnnotation]): - """Simple implementation for demonstration. Uses LlamaGuardAnnotation - for consistency with AILuminate benchmarks. Every other item is marked safe. +class TestAnnotator(Annotator): + """Simple implementation for demonstration. The methods to implement are based on the idea that annotate will potentially make a call to another system and the translators are helpful @@ -34,21 +29,16 @@ def translate_prompt(self, prompt: ChatPrompt | TextPrompt, response: SUTRespons response=response, ) - def annotate(self, annotation_request: AnnotationRequest) -> LlamaGuardAnnotation: - unsafe_categories = [] - if not self.next_is_safe: - unsafe_categories = BaseSafeTestVersion1.hazards - annotation = LlamaGuardAnnotation( + def annotate(self, annotation_request: AnnotationRequest) -> SafetyAnnotation: + annotation = SafetyAnnotation( is_safe=self.next_is_safe, - is_safe_logprob=random.random(), - violation_categories=unsafe_categories, ) self.next_is_safe = not self.next_is_safe return annotation def translate_response( - self, request: AnnotationRequest, response: LlamaGuardAnnotation - ) -> LlamaGuardAnnotation: + self, request: AnnotationRequest, response: SafetyAnnotation + ) -> SafetyAnnotation: return response diff --git a/tests/unit/test_lister.py b/tests/unit/test_lister.py index ddf3d49..b879a47 100644 --- a/tests/unit/test_lister.py +++ b/tests/unit/test_lister.py @@ -1,9 +1,10 @@ +from modelgauge.ensemble_strategies import ENSEMBLE_STRATEGIES + from modelplane.runways.lister import ( list_annotators, list_ensemble_strategies, list_suts, ) -from modelgauge.ensemble_annotator_set import ENSEMBLE_STRATEGIES def test_list_annotators(capsys): @@ -13,7 +14,7 @@ def test_list_annotators(capsys): def test_list_ensemble_strategies(capsys): - ENSEMBLE_STRATEGIES["demo_ensemble_strategy"] = "Demo Ensemble Strategy" + ENSEMBLE_STRATEGIES["demo_ensemble_strategy"] = ENSEMBLE_STRATEGIES["any_unsafe"] list_ensemble_strategies() output = capsys.readouterr().out.strip() assert "demo_ensemble_strategy" in output From c2b4840ec9255c2b77817ebeffd70bb95f5839e3 Mon Sep 17 00:00:00 2001 From: Vishal Doshi Date: Tue, 9 Dec 2025 14:17:04 -0500 Subject: [PATCH 5/7] Fix flightpaths. --- .../Annotator Development Template.ipynb | 19 ++++----- .../Ensemble Development Template.ipynb | 42 ++++++------------- flightpaths/vLLM Annotator.ipynb | 25 ++++++----- src/modelplane/runways/annotator.py | 10 +++-- 4 files changed, 42 insertions(+), 54 deletions(-) diff --git a/flightpaths/Annotator Development Template.ipynb b/flightpaths/Annotator Development Template.ipynb index 46c2e6e..25a83d1 100644 --- a/flightpaths/Annotator Development Template.ipynb +++ b/flightpaths/Annotator Development Template.ipynb @@ -94,10 +94,10 @@ "\n", "from pydantic import BaseModel\n", "\n", - "from modelgauge.annotator import CompletionAnnotator\n", + "from modelgauge.annotation import SafetyAnnotation\n", + "from modelgauge.annotator import Annotator\n", "from modelgauge.annotator_registry import ANNOTATORS\n", "from modelgauge.prompt import ChatPrompt, TextPrompt\n", - "from modelgauge.safety_model_response import SafetyModelResponse\n", "from modelgauge.single_turn_prompt_response import TestItem\n", "from modelgauge.sut import SUTResponse\n", "from modelgauge.tests.safe_v1 import BaseSafeTestVersion1\n", @@ -107,9 +107,8 @@ " response: SUTResponse\n", "\n", "\n", - "class RandomAnnotator(CompletionAnnotator[SafetyModelResponse]):\n", - " \"\"\"Simple random implementation for demonstration. Uses SafetyModelResponse\n", - " for consistency with AILuminate benchmarks.\n", + "class RandomAnnotator(Annotator):\n", + " \"\"\"Simple random implementation for demonstration.\n", "\n", " The methods to implement are based on the idea that annotate will \n", " potentially make a call to another system and the translators are helpful \n", @@ -126,18 +125,16 @@ " response=response,\n", " )\n", "\n", - " def annotate(self, annotation_request: AnnotationRequest) -> SafetyModelResponse:\n", + " def annotate(self, annotation_request: AnnotationRequest) -> SafetyAnnotation:\n", " unsafe_categories = []\n", " for category in BaseSafeTestVersion1.hazards:\n", " if random.random() < self.prob_unsafe:\n", " unsafe_categories.append(category)\n", - " return SafetyModelResponse(\n", + " return SafetyAnnotation(\n", " is_safe=not unsafe_categories,\n", - " logprobs=random.random(),\n", - " safety_categories=unsafe_categories,\n", " )\n", "\n", - " def translate_response(self, request: AnnotationRequest, response: SafetyModelResponse) -> SafetyModelResponse:\n", + " def translate_response(self, request: AnnotationRequest, response: SafetyAnnotation) -> SafetyAnnotation:\n", " return response\n", "\n", "\n", @@ -248,7 +245,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.11" + "version": "3.12.12" } }, "nbformat": 4, diff --git a/flightpaths/Ensemble Development Template.ipynb b/flightpaths/Ensemble Development Template.ipynb index a213087..430278a 100644 --- a/flightpaths/Ensemble Development Template.ipynb +++ b/flightpaths/Ensemble Development Template.ipynb @@ -100,21 +100,21 @@ "source": [ "import random\n", "\n", - "from pydantic import BaseModel\n", - "\n", - "from modelgauge.annotator import CompletionAnnotator\n", + "from modelgauge.annotation import SafetyAnnotation\n", + "from modelgauge.annotator import Annotator\n", "from modelgauge.annotator_registry import ANNOTATORS\n", "from modelgauge.prompt import ChatPrompt, TextPrompt\n", - "from modelgauge.safety_model_response import SafetyModelResponse\n", "from modelgauge.sut import SUTResponse\n", "from modelgauge.tests.safe_v1 import BaseSafeTestVersion1\n", + "from pydantic import BaseModel\n", + "\n", "\n", "class AnnotationRequest(BaseModel):\n", " prompt: ChatPrompt | TextPrompt\n", " response: SUTResponse\n", "\n", "\n", - "class RandomAnnotator(CompletionAnnotator[SafetyModelResponse]):\n", + "class RandomAnnotator(Annotator):\n", " \"\"\"Simple random implementation for demonstration. Uses SafetyModelResponse\n", " for consistency with AILuminate benchmarks.\n", "\n", @@ -132,19 +132,17 @@ " response=response,\n", " )\n", "\n", - " def annotate(self, annotation_request: AnnotationRequest) -> SafetyModelResponse:\n", + " def annotate(self, annotation_request: AnnotationRequest) -> SafetyAnnotation:\n", " unsafe_categories = []\n", " for category in BaseSafeTestVersion1.hazards:\n", " if random.random() < self.prob_unsafe:\n", " unsafe_categories.append(category)\n", - " return SafetyModelResponse(\n", + " return SafetyAnnotation(\n", " is_safe=not unsafe_categories,\n", " is_valid=True,\n", - " logprobs=random.random(),\n", - " safety_categories=unsafe_categories,\n", " )\n", "\n", - " def translate_response(self, request: AnnotationRequest, response: SafetyModelResponse) -> SafetyModelResponse:\n", + " def translate_response(self, request: AnnotationRequest, response: SafetyAnnotation) -> SafetyAnnotation:\n", " return response\n", "\n", "\n", @@ -176,16 +174,15 @@ "source": [ "from typing import Dict\n", "\n", - "from modelgauge.safety_model_response import EnsembleSafetyModelResponse\n", - "from modelgauge.ensemble_annotator_set import EnsembleStrategy, ENSEMBLE_STRATEGIES\n", + "from modelgauge.annotation import EnsembleSafetyAnnotation\n", + "from modelgauge.ensemble_strategies import ENSEMBLE_STRATEGIES, EnsembleStrategy\n", "\n", "\n", "class AnyUnsafeEnsembleStrategy(EnsembleStrategy):\n", - " def compute_response(self, annotations: Dict[str, SafetyModelResponse]) -> EnsembleSafetyModelResponse:\n", - " response = EnsembleSafetyModelResponse(\n", + " def compute_response(self, annotations: Dict[str, SafetyAnnotation]) -> EnsembleSafetyAnnotation:\n", + " response = EnsembleSafetyAnnotation(\n", " joined_responses=annotations, \n", " is_safe=True,\n", - " safety_categories=[],\n", " is_valid=False,\n", " )\n", " for annotation in annotations.values():\n", @@ -193,9 +190,6 @@ " response.is_valid = True\n", " if not annotation.is_safe:\n", " response.is_safe = False\n", - " current_categories = set(response.safety_categories)\n", - " current_categories.update(annotation.safety_categories)\n", - " response.safety_categories = sorted(current_categories)\n", " return response\n", "\n", "ENSEMBLE_STRATEGIES[\"anyunsafe\"] = AnyUnsafeEnsembleStrategy()" @@ -286,18 +280,6 @@ "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.11" } }, "nbformat": 4, diff --git a/flightpaths/vLLM Annotator.ipynb b/flightpaths/vLLM Annotator.ipynb index 0037989..c804e38 100644 --- a/flightpaths/vLLM Annotator.ipynb +++ b/flightpaths/vLLM Annotator.ipynb @@ -22,8 +22,6 @@ "metadata": {}, "outputs": [], "source": [ - "import os\n", - "\n", "from modelplane.runways import responder, annotator" ] }, @@ -128,8 +126,8 @@ "from openai import OpenAI\n", "from pydantic import BaseModel\n", "\n", - "from modelgauge.annotator import CompletionAnnotator\n", - "from modelgauge.safety_model_response import SafetyModelResponse\n", + "from modelgauge.annotation import SafetyAnnotation\n", + "from modelgauge.annotator import Annotator\n", "from modelgauge.secret_values import RequiredSecret, SecretDescription\n", "from modelgauge.sut import SUTResponse\n", "from modelgauge.tests.safe_v1 import BaseSafeTestVersion1\n", @@ -149,7 +147,7 @@ " prompts: Dict[str, str]\n", "\n", "\n", - "class VLLMAnnotator(CompletionAnnotator[SafetyModelResponse]):\n", + "class VLLMAnnotator(Annotator):\n", " def __init__(self, uid: str, base_url: str, secret: VLLMSecret, model_name: str):\n", " super().__init__(uid=uid)\n", " self.base_url = base_url\n", @@ -181,13 +179,12 @@ " responses[hazard] = completion.choices[0].text.strip().lower()\n", " return responses\n", "\n", - " def translate_response(self, request: AnnotationRequest, response: Dict[str, str]) -> SafetyModelResponse:\n", + " def translate_response(self, request: AnnotationRequest, response: Dict[str, str]) -> SafetyAnnotation:\n", " \"\"\"Convert the raw response into the form read by Tests.\"\"\"\n", - " res = SafetyModelResponse(is_safe=True, safety_categories=[])\n", - " for hazard, answer in response.items():\n", + " res = SafetyAnnotation(is_safe=True)\n", + " for answer in response.values():\n", " if answer != \"safe\":\n", " res.is_safe = False\n", - " res.safety_categories.append(hazard)\n", " return res" ] }, @@ -235,6 +232,14 @@ " num_workers=num_workers,\n", ")" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aa7dddec", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -253,7 +258,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.11" + "version": "3.12.12" } }, "nbformat": 4, diff --git a/src/modelplane/runways/annotator.py b/src/modelplane/runways/annotator.py index fbb2565..f03eb8f 100644 --- a/src/modelplane/runways/annotator.py +++ b/src/modelplane/runways/annotator.py @@ -35,6 +35,9 @@ ) +DEFAULT_ENSEMBLE_ANNOTATOR_UID = "ensemble" + + def annotate( experiment: str, annotator_ids: List[str], @@ -123,7 +126,7 @@ def annotate( annotator_uids=( annotator_uids if ensemble_strategy is None - else annotator_uids + ["ensemble"] + else annotator_uids + [DEFAULT_ENSEMBLE_ANNOTATOR_UID] ), data_path=pipeline_runner.output_dir() / pipeline_runner.output_file_name, @@ -155,11 +158,12 @@ def _get_annotator_settings( f"Unknown ensemble strategy: {ensemble_strategy}. " f"Available strategies: {list(ENSEMBLE_STRATEGIES.keys())}" ) - kwargs["ensemble"] = EnsembleAnnotator( - uid="ensemble", + annotator = EnsembleAnnotator( + uid=DEFAULT_ENSEMBLE_ANNOTATOR_UID, annotators=annotator_ids, ensemble_strategy=ensemble_strategy, ) + kwargs["annotators"][DEFAULT_ENSEMBLE_ANNOTATOR_UID] = annotator return kwargs From e3845032ea3184612f37942027210fbac150a676 Mon Sep 17 00:00:00 2001 From: Vishal Doshi Date: Tue, 9 Dec 2025 15:37:30 -0500 Subject: [PATCH 6/7] Try not locking poetry version. --- .github/workflows/tests.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 01e6712..cf81e9d 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -32,7 +32,7 @@ jobs: ./start_services.sh --no-jupyter -d - name: Install poetry - run: pipx install "poetry == 1.8.5" + run: pipx install poetry - name: Verify MLflow versions match run: ./scripts/check_mlflow_versions.sh From e3b3ae8844eae7b315f44f92aad7b034360679f5 Mon Sep 17 00:00:00 2001 From: Vishal Doshi Date: Tue, 9 Dec 2025 16:54:26 -0500 Subject: [PATCH 7/7] Doc fixes and cleanup no longer relevant flightpath. --- README.md | 20 +- .../Annotator Development Template.ipynb | 12 +- .../Ensemble Development Template.ipynb | 4 +- .../Running the Evaluator with Mods.ipynb | 214 ------------------ flightpaths/vLLM Annotator.ipynb | 12 - tests/notebooks/run.py | 10 +- 6 files changed, 13 insertions(+), 259 deletions(-) delete mode 100644 flightpaths/Running the Evaluator with Mods.ipynb diff --git a/README.md b/README.md index 3b787ee..70a99b9 100644 --- a/README.md +++ b/README.md @@ -43,9 +43,8 @@ for access. MLFlow server (`MLFLOW_TRACKING_USERNAME` / `MLFLOW_TRACKING_PASSWORD`). * Alternatively, put the credentials in `~/.mlflow/credentials` as described [here](https://mlflow.org/docs/latest/ml/auth/#credentials-file). -1. To access `modelbench-private` code (assuming you have -access), you must also set `USE_MODELBENCH_PRIVATE=true` in `.env.jupyteronly`. This will forward your ssh agent to the container -allowing it to load the private repository to build the image. +1. To access the private annotators, you need to set up credentials to access cheval (see `modelgauge.annotators.cheval.registration`) +and reach out to [airr-engineering@mlcommons.org](mailto:airr-engineering@mlcommons.org) for the credentials. 1. Start jupyter with `./start_jupyter.sh`. (You can add the `-d` flag to start in the background.) @@ -97,17 +96,14 @@ or you can get the `run_id` via the MLFlow UI. MLFLOW_TRACKING_URI=http://localhost:8080 poetry run modelplane annotate --annotator_id {annotator_id} --experiment expname --response_run_id {run_id} ``` -### Custom Ensembles +#### Private Ensemble +If you have access to the private annotator, you can run directly with: ``` -MLFLOW_TRACKING_URI=http://localhost:8080 poetry run modelplane annotate --annotator_id {annotator_id1} --annotator_id {annotator_id2} --ensemble_strategy {ensemble_strategy} --experiment expname --response_file path/to/response.csv +MLFLOW_TRACKING_URI=http://localhost:8080 poetry run modelplane annotate --annotator_id safety-v1.1 --experiment expname --response_run_id {run_id} ``` -### Private Ensemble -If you have access to the private ensemble, you can install with the needed extras -``` -poetry install --extras modelbench-private -``` -And then run annotations with: + +### Custom Ensembles ``` -MLFLOW_TRACKING_URI=http://localhost:8080 poetry run modelplane annotate --ensemble_id official --experiment expname --response_run_id {run_id} +MLFLOW_TRACKING_URI=http://localhost:8080 poetry run modelplane annotate --annotator_id {annotator_id1} --annotator_id {annotator_id2} --ensemble_strategy {ensemble_strategy} --experiment expname --response_file path/to/response.csv ``` diff --git a/flightpaths/Annotator Development Template.ipynb b/flightpaths/Annotator Development Template.ipynb index 25a83d1..c4ee686 100644 --- a/flightpaths/Annotator Development Template.ipynb +++ b/flightpaths/Annotator Development Template.ipynb @@ -76,9 +76,9 @@ "\n", "An implementation of the annotator should define:\n", "\n", - "* `translate_request`: takes a `TestItem` and `SUTResponse` (which have the needed information on the prompt responses for the given LLM) and translates the request into an arbitrary form useful for the `annotate` method.\n", + "* `translate_prompt`: takes a `TextPrompt` and `SUTResponse` (which have the needed information on the prompt responses for the given LLM) and translates the request into an arbitrary form useful for the `annotate` method.\n", "* `annotate`: take the translated request and produce an annotation in any form.\n", - "* `translate_response`: take the annotation and translate it to the needed from (`SafetyModelResponse`).\n", + "* `translate_response`: take the annotation and translate it to the needed from (`SafetyAnnotation`).\n", "\n", "Below, we give a sample `RandomAnnotator`, which randomly decides whether a given response is safe by hazard category." ] @@ -219,14 +219,6 @@ " ground_truth=ground_truth,\n", ")" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "af9debec-28be-4a50-82da-5d7025de7d76", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/flightpaths/Ensemble Development Template.ipynb b/flightpaths/Ensemble Development Template.ipynb index 430278a..3060cfc 100644 --- a/flightpaths/Ensemble Development Template.ipynb +++ b/flightpaths/Ensemble Development Template.ipynb @@ -70,11 +70,11 @@ "\n", "* An implementation of an annotator should define:\n", "\n", - " * `translate_request`: takes a `TestItem` and `SUTResponse` (which have the needed information on the prompt responses for the given LLM) and translates the request into an arbitrary form useful for the `annotate` method.\n", + " * `translate_prompt`: takes a `TextPrompt` and `SUTResponse` (which have the needed information on the prompt responses for the given LLM) and translates the request into an arbitrary form useful for the `annotate` method.\n", " * `annotate`: take the translated request and produce an annotation in any form.\n", " * `translate_response`: take the annotation and translate it to the needed from (`SafetyModelResponse`).\n", "\n", - "* An implementation of the combining logic should define `compute_response` which takes a map of `SafetyModelResponse`s from the underlying annotators and combines them to produce a final annotation (`EnsembleSafetyModelResponse`, which is simply a `SafetyModelResponse` along with the map of underlying responses).\n", + "* An implementation of the combining logic should define `compute_response` which takes a map of `SafetyAnnotation`s from the underlying annotators and combines them to produce a final annotation (`EnsembleSafetyAnnotation`, which is simply a `SafetyAnnotation` along with the map of underlying responses).\n", "\n", "Below, we give a sample ensemble, which takes two independent `RandomAnnotator` responses and reports unsafe if any underlying annotation was unsafe. This requires implementations of the `RandomAnnotator` and `AnyUnsafeStrategy`." ] diff --git a/flightpaths/Running the Evaluator with Mods.ipynb b/flightpaths/Running the Evaluator with Mods.ipynb deleted file mode 100644 index 25e5128..0000000 --- a/flightpaths/Running the Evaluator with Mods.ipynb +++ /dev/null @@ -1,214 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "ab195250-6a0f-4176-a09d-3696d911203d", - "metadata": {}, - "source": [ - "# Running the official evaluator\n", - "\n", - "This flightpath walks through running the official ensemble, either directly or using different combiner logic and seeing the results in MLCommons' MLFlow server.\n", - "\n", - "## Requirements\n", - "To run this flightpath, you must:\n", - "* Have access to the AIRR MLFlow server.\n", - " * Modify `.env.jupyteronly` to include your credentials for the MLFlow server (`MLFLOW_TRACKING_USERNAME` / `MLFLOW_TRACKING_PASSWORD`).\n", - " * Alternatively, you can put the credentials in `~/.mlflow/credentials` as described [here](https://mlflow.org/docs/latest/ml/auth/#credentials-file).\n", - " * Note that if you want to use a locally running mlflow server, you can modify .env.jupyteronly to set `MLFLOW_TRACKING_URI` appropriately.\n", - "* Have access to the modelbench-private repository *and* set `USE_PRIVATE_MODELBENCH=true` in `.env.jupyteronly`.\n", - "\n", - "Once modifications (if any) are made to the `.env.jupyteronly` configuration, start jupyter with the `./start_jupyter.sh` script." - ] - }, - { - "cell_type": "markdown", - "id": "28f35ba7-cf70-49ed-80e7-518d7886161f", - "metadata": {}, - "source": [ - "## MLFlow server login" - ] - }, - { - "cell_type": "markdown", - "id": "3d2d5865-2cd7-4b81-a588-dfec27727643", - "metadata": {}, - "source": [ - "## Import runways" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f44e837c-05e9-4e62-916d-9884bb47839e", - "metadata": {}, - "outputs": [], - "source": [ - "import datetime\n", - "from modelplane.runways import responder, annotator, scorer" - ] - }, - { - "cell_type": "markdown", - "id": "726c8897-db04-4435-8d67-7a05309ef740", - "metadata": {}, - "source": [ - "## Settings\n", - "\n", - "* `sut_id` refers to the model that generates the responses to the prompts. It is currently set to a demo SUT.\n", - "* `experiment` variable will be used to organize the various runs in mlflow.\n", - "* `prompts` should point to a location in `/flightpaths/data`. A sample dataset is provided.\n", - "* `num_workers` can adjust the parallelism." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "414f9c85-d146-4119-854b-e009235aa4c4", - "metadata": {}, - "outputs": [], - "source": [ - "sut_id = \"demo_yes_no\"\n", - "experiment = \"fp_private_\" + datetime.date.today().strftime(\"%Y%m%d\")\n", - "prompts = \"data/airr_official_1.0_demo_en_us_prompt_set_release_reduced.csv\"\n", - "ground_truth = \"data/fakegroundtruth.csv\"\n", - "num_workers = 4" - ] - }, - { - "cell_type": "markdown", - "id": "43bc96aa-7a5c-4ac4-ab2d-ad89c96b4a28", - "metadata": {}, - "source": [ - "### Combiner logic - `AnyUnsafeStrategy`\n", - "\n", - "This implementation will return is_safe = \"unsafe\" if any of the ensemble members decide it's unsafe.\n", - "\n", - "Combiner logic must be declared via `ENSEMBLE_STRATEGIES`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a9170875-d822-4e49-8445-37639caee836", - "metadata": {}, - "outputs": [], - "source": [ - "from typing import Dict\n", - "\n", - "from modelgauge.safety_model_response import SafetyModelResponse, EnsembleSafetyModelResponse\n", - "from modelgauge.ensemble_annotator_set import EnsembleStrategy, ENSEMBLE_STRATEGIES\n", - "\n", - "\n", - "class AnyUnsafeEnsembleStrategy(EnsembleStrategy):\n", - " def compute_response(self, annotations: Dict[str, SafetyModelResponse]) -> EnsembleSafetyModelResponse:\n", - " response = EnsembleSafetyModelResponse(\n", - " joined_responses=annotations, \n", - " is_safe=True,\n", - " safety_categories=[],\n", - " is_valid=False,\n", - " )\n", - " for annotation in annotations.values():\n", - " if annotation.is_valid:\n", - " response.is_valid = True\n", - " if not annotation.is_safe:\n", - " response.is_safe = False\n", - " current_categories = set(response.safety_categories)\n", - " current_categories.update(annotation.safety_categories)\n", - " response.safety_categories = sorted(current_categories)\n", - " return response\n", - "\n", - "ENSEMBLE_STRATEGIES[\"anyunsafe\"] = AnyUnsafeEnsembleStrategy()" - ] - }, - { - "cell_type": "markdown", - "id": "17760cd3-23fe-4c79-8882-475d8d7096ea", - "metadata": {}, - "source": [ - "## Run the model\n", - "\n", - "This step will get responses to the prompts from the given SUT.\n", - "\n", - "Save this run_id to avoid having to re-run the model later. The results are saved as an artifact in mlflow.\n", - "\n", - "You can see the the runs associated with the experiment you specified above at your MLFlow tracking server. There will be a link below after running. You may need to replace http://mlflow:8080 with http://localhost:8080 in the generated mlflow links if you used the default settings." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b70d76d5-a3e1-4cc0-aeff-e71b6ff64825", - "metadata": {}, - "outputs": [], - "source": [ - "response_run = responder.respond(\n", - " sut_id=sut_id,\n", - " experiment=experiment,\n", - " prompts=prompts,\n", - " num_workers=num_workers,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "740a8a85-c171-4d11-b094-cd617b14b6ed", - "metadata": {}, - "source": [ - "## Annotate the model by ensembling with the new combiner logic\n", - "\n", - "This will grab the annotators from the `PRIVATE_ANNOTATOR_SET` and apply the new combiner logic to them. You'll be able to see the details of the annotations in mlflow.\n", - "\n", - "If you want to run the official annotator directly (without modifications), you can instead run:\n", - "\n", - "```python\n", - "annotation_run = annotator.annotate(\n", - " ensemble_id=\"official-1.0\",\n", - " experiment=experiment,\n", - " response_run_id=run_id,\n", - " num_workers=num_workers,\n", - ")\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "06632c4d-90bd-4c2d-9c36-84e59dd8f190", - "metadata": {}, - "outputs": [], - "source": [ - "from modelgauge.private_ensemble_annotator_set import PRIVATE_ANNOTATOR_SET\n", - "\n", - "annotator_ids = PRIVATE_ANNOTATOR_SET.annotators\n", - "annotation_run = annotator.annotate(\n", - " annotator_ids=annotator_ids,\n", - " ensemble_strategy=\"anyunsafe\",\n", - " experiment=experiment,\n", - " response_run_id=response_run.run_id,\n", - " num_workers=num_workers,\n", - ")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.11" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/flightpaths/vLLM Annotator.ipynb b/flightpaths/vLLM Annotator.ipynb index c804e38..e25b1a1 100644 --- a/flightpaths/vLLM Annotator.ipynb +++ b/flightpaths/vLLM Annotator.ipynb @@ -247,18 +247,6 @@ "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.12" } }, "nbformat": 4, diff --git a/tests/notebooks/run.py b/tests/notebooks/run.py index dfb1939..2ce6c85 100644 --- a/tests/notebooks/run.py +++ b/tests/notebooks/run.py @@ -5,17 +5,9 @@ import nbformat from nbconvert.preprocessors import ExecutePreprocessor -NOTEBOOKS_TO_SKIP = { - "Running the Evaluator with Mods.ipynb", # requires private annotators -} - def test_notebooks(notebooks_dir): - notebooks = [ - f - for f in os.listdir(notebooks_dir) - if f.endswith(".ipynb") and f not in NOTEBOOKS_TO_SKIP - ] + notebooks = [f for f in os.listdir(notebooks_dir) if f.endswith(".ipynb")] if not notebooks: print(f"No notebooks found in {notebooks_dir}") return