From dac2035be746576b3561044b87d10aff7d027783 Mon Sep 17 00:00:00 2001 From: Marcelo Lotif Date: Mon, 10 Aug 2026 13:04:15 -0400 Subject: [PATCH 1/7] Replace InspectAI with OpenAI SDK via Vector proxy. Route LLM calls through the official OpenAI client to https://proxy.vectorinstitute.ai/v1 with per-call clients and keys, drop inspect-ai, and update tests/docs accordingly. Co-authored-by: Cursor --- .github/workflows/code_checks.yml | 2 - .gitignore | 3 + CONTRIBUTING.md | 8 + README.md | 6 + ...-10-replace-inspectai-with-openai-proxy.md | 71 + pyproject.toml | 5 +- src/aspis/inferencer.py | 183 +-- src/aspis/systematization.py | 5 +- tests/aspis/api/test_main.py | 119 +- tests/aspis/manual_test_inferencer.py | 8 +- tests/aspis/test_inferencer.py | 122 +- tests/aspis/test_systematization.py | 8 +- tests/aspis/ui/test_main.py | 213 +-- uv.lock | 1319 +---------------- 14 files changed, 500 insertions(+), 1572 deletions(-) create mode 100644 plans/2026-08-10-replace-inspectai-with-openai-proxy.md diff --git a/.github/workflows/code_checks.yml b/.github/workflows/code_checks.yml index 8891144..1adcaeb 100644 --- a/.github/workflows/code_checks.yml +++ b/.github/workflows/code_checks.yml @@ -59,9 +59,7 @@ jobs: # has an issue with tests: # https://github.com/streamlit/streamlit/issues/12566 # GHSA-5239-wwwm-4pmq: issue with pygments 2.19.12 that can't be upgraded because it breaks the docs build - # PYSEC-2026-2132: Click cannot be upgraded to 8.3.3 because of inspectai ignore-vulns: | GHSA-7p48-42j8-8846 GHSA-5239-wwwm-4pmq PYSEC-2026-212 - PYSEC-2026-2132 diff --git a/.gitignore b/.gitignore index bd1085b..bac052e 100644 --- a/.gitignore +++ b/.gitignore @@ -9,6 +9,9 @@ wheels/ # Virtual environments .venv +# Spec / task skill local state +.specs_skill_state/ + # Lint & Test .mypy_cache/ .pytest_cache/ diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 492e686..e2e983c 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -92,3 +92,11 @@ are `openai/gpt-4o`, `openai/gpt-5.5`, `openai/gpt-5.4-mini`, `google/gemini-3.1 To see the full documentation for the available endpoints, you can access `http://localhost:8000/docs` on your browser. + +### 🔑 LLM API keys (Vector proxy) + +LLM calls go through Vector's OpenAI-compatible proxy at +`https://proxy.vectorinstitute.ai/v1`. Use a Vector proxy API key when prompted in the +UI/API (`api_key`). For local manual tests, set `ASPIS_API_KEY` or `OPENAI_API_KEY` to +that proxy key. Do not rely on writing provider keys into the process environment for +request auth. diff --git a/README.md b/README.md index 5e72c40..9e2b1ca 100644 --- a/README.md +++ b/README.md @@ -92,3 +92,9 @@ are `openai/gpt-4o`, `openai/gpt-5.5`, `openai/gpt-5.4-mini`, `google/gemini-3.1 To see the full documentation for the available endpoints, you can access `http://localhost:8080/api/docs` on your browser. + +### 🔑 LLM API keys (Vector proxy) + +LLM calls are routed through Vector's OpenAI-compatible proxy at +`https://proxy.vectorinstitute.ai/v1`. Pass a Vector proxy API key as `api_key` in the +UI or API (not a provider-specific key written into process environment variables). diff --git a/plans/2026-08-10-replace-inspectai-with-openai-proxy.md b/plans/2026-08-10-replace-inspectai-with-openai-proxy.md new file mode 100644 index 0000000..fe73230 --- /dev/null +++ b/plans/2026-08-10-replace-inspectai-with-openai-proxy.md @@ -0,0 +1,71 @@ +# Plan: Replace InspectAI with OpenAI SDK via Vector Proxy + +**Date:** 2026-08-10 +**Branch:** `replace-inspectai-with-openai-proxy` +**Status:** complete + +## Goal + +Replace InspectAI-based LLM calls with the official OpenAI SDK, routed through `https://proxy.vectorinstitute.ai/v1`, while keeping multi-provider models and safe concurrent API-key handling. + +## Decisions (from clarification) + +1. **Multi-provider:** Keep Gemini/Claude/OpenAI models; the Vector proxy supports all of them via the OpenAI-compatible API. +2. **Auth:** Keep the existing pattern of passing `api_key` into call sites (UI/API). Do **not** write keys into process `os.environ` (unsafe under concurrency). Prefer per-call `OpenAI(api_key=..., base_url=...)` clients. +3. **Client:** Official `openai` SDK (not `langchain-openai`). +4. **Threading:** Remove `ThreadPoolExecutor` unless verification shows Streamlit still requires it. The old thread pool existed for InspectAI + Streamlit main-thread issues. +5. **Lockfile:** After `pyproject.toml` dependency changes, regenerate `uv.lock` with `uv` (e.g. `uv lock` / `uv sync`). **Never hand-edit `uv.lock`.** + +## Steps + +### 1. Branch + +- Work on `replace-inspectai-with-openai-proxy` (created from `main`). + +### 2. New LLM client layer (`inferencer.py` core) + +- Add an OpenAI client factory that always creates a **new per-call client**: + - `OpenAI(api_key=, base_url="https://proxy.vectorinstitute.ai/v1")` + - Never set `os.environ` for keys. +- Replace InspectAI `Task` / `eval` / `generate` / `model_graded_qa` with `client.chat.completions.create(...)`. +- Replace InspectAI `Sample` with a small local type (e.g. dataclass with `input`). +- Keep `ModelInfo` and multi-provider model IDs; send those model IDs to the proxy. +- Adapt `extract_string_output` to OpenAI response content shapes as needed. +- Drop `ThreadPoolExecutor` if direct sync OpenAI calls are safe with Streamlit. + +### 3. Call sites / API surface + +- Update `systematization.py`, API, UI, and helpers for the new sample/client path. +- Preserve “pass `api_key` into the function” from UI form + API form. + +### 4. Dependencies + +- Add official `openai` SDK. +- Remove `inspect-ai`. +- Remove now-unused provider SDKs only if nothing else imports them after the switch (`anthropic`, `google-genai` are candidates to audit). +- Regenerate `uv.lock` via `uv` from `pyproject.toml` changes (no manual lock edits). +- Update CI notes that mention InspectAI (e.g. click pin comment in code checks). + +### 5. Tests + +- Rewrite tests that mock `inspect_ai_eval` to mock the OpenAI client instead. +- Remove InspectAI imports from tests. +- Cover that API keys are passed into the client constructor (not env), so concurrent calls cannot share/override keys. + +### 6. Docs / misc + +- Light README/CONTRIBUTING updates if they describe InspectAI or key setup incorrectly. +- Leave `.env` alone (secrets); wire default base URL in code (optional non-secret env override if useful). + +### 7. Quality gate + +- Coding agent implements + runs project checks/tests. +- Separate code-review agent reviews. +- Commit only after a clean review. +- Verify clean `git status` and summarize. + +## Non-goals + +- No InspectAI proxy workaround. +- No shared global client / env-based key for request auth. +- No full project re-spec; this is a `/spec task`. diff --git a/pyproject.toml b/pyproject.toml index d3b8cfc..d808b75 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,12 +7,9 @@ authors = [ {name = "Vector AI Engineering", email = "ai_engineering@vectorinsti license = "Apache-2.0" requires-python = ">=3.12" dependencies = [ - "anthropic>=0.102.0", "fastapi[standard]>=0.121.0", - "google-genai>=2.2.0", - "inspect-ai>=0.3.160", "langchain>=1.3.9", - "langchain-openai>=1.1.14", + "openai>=1.40.0", "pydantic>=2.11.7", "pyyaml>=6.0.2", "streamlit>=1.48.1", diff --git a/src/aspis/inferencer.py b/src/aspis/inferencer.py index 88ec41a..4335639 100644 --- a/src/aspis/inferencer.py +++ b/src/aspis/inferencer.py @@ -1,25 +1,28 @@ -"""Scorer for applications using Aspis as anLLM-as-a-judge.""" +"""Scorer for applications using Aspis as an LLM-as-a-judge.""" import json import os -from concurrent.futures import ThreadPoolExecutor +from dataclasses import dataclass from enum import Enum -from tempfile import TemporaryDirectory -from threading import Lock from typing import Any, Self -from inspect_ai import Task -from inspect_ai import eval as inspect_ai_eval -from inspect_ai.dataset import MemoryDataset, Sample -from inspect_ai.log import EvalLog -from inspect_ai.scorer import model_graded_qa -from inspect_ai.solver import generate +from openai import OpenAI -from aspis.logging import get_logger_level, logger +from aspis.logging import logger from aspis.utils import clean_model_output -_INSPECTAI_EVAL_LOCK = Lock() +DEFAULT_PROXY_BASE_URL = "https://proxy.vectorinstitute.ai/v1" + +# Content part types that are reasoning / thinking (not the final answer). +_REASONING_PART_TYPES = frozenset({"reasoning", "thinking", "reasoning_content"}) + + +@dataclass(frozen=True) +class Sample: + """A single prompt sample to send to a model.""" + + input: str class ModelInfo(str, Enum): @@ -77,6 +80,31 @@ def __str__(self) -> str: return self.friendly_name +def get_proxy_base_url() -> str: + """Return the OpenAI-compatible proxy base URL. + + Returns: + The proxy base URL, overridable via ``ASPIS_OPENAI_BASE_URL``. + """ + return os.environ.get("ASPIS_OPENAI_BASE_URL", DEFAULT_PROXY_BASE_URL) + + +def create_openai_client(api_key: str) -> OpenAI: + """Create a new OpenAI client for a single request. + + The API key is passed only to this client instance and is never written to + process environment variables, so concurrent callers cannot override each + other's credentials. + + Args: + api_key: The caller-provided API key. + + Returns: + A new ``OpenAI`` client pointed at the Vector proxy. + """ + return OpenAI(api_key=api_key, base_url=get_proxy_base_url()) + + def execute_samples_against_model(samples: list[Sample], model_info: ModelInfo, api_key: str) -> list[str]: """Executes a list of samples against a model and returns the model outputs. @@ -90,31 +118,25 @@ def execute_samples_against_model(samples: list[Sample], model_info: ModelInfo, """ logger.info(f"Making API call to model {model_info.model_id}...") - # Executing this in a synchronous thread pool executor to make InspectAI - # work well with streamlit's main thread - with ThreadPoolExecutor() as executor: - result = executor.submit(run_eval, samples, model_info, api_key).result() - - assert len(result) == 1, "Expected exactly one result" - - if result[0].status != "success": - logger.error("Evaluation error: %s", result[0].error) - logger.debug("Full evaluation result: %s", result[0]) - raise ValueError("Error during evaluation.") - - assert result[0].samples is not None, "Expected samples to be not None" - assert len(result[0].samples) == len(samples), ( - "Expected number of samples to be the same as the number of samples in the task" - ) - model_outputs = [] - for sample in result[0].samples: - message_content = extract_string_output( - sample.output.choices[0].message.content, - model_info, - ) - assert isinstance(message_content, str), "Expected message content to be a string" - model_outputs.append(message_content) + with create_openai_client(api_key) as client: + for sample in samples: + try: + response = client.chat.completions.create( + model=model_info.model_id, + messages=[{"role": "user", "content": sample.input}], + ) + except Exception as e: + logger.exception("Error during model evaluation for model %s", model_info.model_id) + raise ValueError("Error during evaluation.") from e + + if not response.choices: + raise ValueError("Expected at least one choice in the model response") + + message_content = extract_string_output(response.choices[0].message.content) + if not isinstance(message_content, str): + raise ValueError("Expected message content to be a string") + model_outputs.append(message_content) return model_outputs @@ -139,7 +161,7 @@ def evaluate_text( samples = [] for prompt_template in prompt_templates: input_prompt = get_inference_prompt(input_text, prompt_template) - samples.append(Sample(input=input_prompt, target="")) + samples.append(Sample(input=input_prompt)) model_outputs = execute_samples_against_model(samples, model_info, api_key) @@ -158,35 +180,6 @@ def evaluate_text( return parsed_model_outputs -def run_eval(samples: list[Sample], model_info: ModelInfo, api_key: str) -> list[EvalLog]: - """Helper function to run eval on a list of samples with a specific API key. - - Args: - samples: The list of samples to run the eval on. - model_info: The information about the model to use for the evaluation. - api_key: The API key to use to run the eval. - - Returns: - The result of the eval. - """ - task = Task( - dataset=MemoryDataset(samples), - solver=[generate()], - scorer=model_graded_qa(), - ) - with TemporaryDirectory() as temp_dir, _INSPECTAI_EVAL_LOCK: - try: - os.environ[model_info.api_key_name] = api_key - result = inspect_ai_eval(task, model=model_info.model_id, log_dir=temp_dir) - finally: - os.environ.pop(model_info.api_key_name, None) - # Reset the logger level to the default level since - # inspectai sets it to WARNING - logger.setLevel(get_logger_level()) - - return result - - def get_inference_prompt(input_text: str, prompt: str) -> str: """Get the inference prompt to be used as input to the model. @@ -203,29 +196,51 @@ def get_inference_prompt(input_text: str, prompt: str) -> str: return prompt.replace("", f"{input_text}") -def extract_string_output(model_output: Any, model_info: ModelInfo) -> str: - """Extract the string output from the model output given the model info. +def _part_type(part: Any) -> str | None: + """Return the content-part type string when available.""" + if isinstance(part, dict): + part_type = part.get("type") + return str(part_type) if part_type is not None else None + part_type = getattr(part, "type", None) + return str(part_type) if part_type is not None else None + + +def _part_text(part: Any) -> str | None: + """Return text from a content part, if present.""" + if isinstance(part, str): + return part + if isinstance(part, dict): + text = part.get("text") + return str(text) if text is not None else None + text = getattr(part, "text", None) + return str(text) if text is not None else None + + +def extract_string_output(model_output: Any) -> str: + """Extract the answer string from an OpenAI chat completion message content. + + For multi-part content (e.g. reasoning + answer), skips known reasoning part + types and returns the final remaining text part so JSON parsing is not broken + by reasoning prefixes. Args: - model_output: The model output. - model_info: The model info. + model_output: The message content from the model response. Returns: The string output. """ - if model_info == ModelInfo.OPENAI_GPT_4O: + if isinstance(model_output, str): return model_output - if model_info in [ - ModelInfo.OPENAI_GPT_5_5, - ModelInfo.GOOGLE_GEMINI_3_1_PRO_PREVIEW, - ModelInfo.GOOGLE_GEMINI_3_FLASH_PREVIEW, - ModelInfo.GOOGLE_GEMINI_3_1_FLASH_LITE, - ]: - # first output is the reasoning, second output is the answer - return model_output[1].text - - if model_info == ModelInfo.OPENAI_GPT_5_4_MINI: - return model_output[0].text - - raise ValueError(f"Model info {model_info} not supported") + if isinstance(model_output, list): + answer_parts: list[str] = [] + for part in model_output: + if _part_type(part) in _REASONING_PART_TYPES: + continue + text = _part_text(part) + if text is not None: + answer_parts.append(text) + if answer_parts: + return answer_parts[-1] + + raise ValueError(f"Unsupported model output content type: {type(model_output)}") diff --git a/src/aspis/systematization.py b/src/aspis/systematization.py index 21f76d5..7bb6dc7 100644 --- a/src/aspis/systematization.py +++ b/src/aspis/systematization.py @@ -4,10 +4,9 @@ from dataclasses import dataclass from pathlib import Path -from inspect_ai.dataset import Sample from langchain_core.prompts import ChatPromptTemplate -from aspis.inferencer import ModelInfo, execute_samples_against_model +from aspis.inferencer import ModelInfo, Sample, execute_samples_against_model from aspis.logging import logger from aspis.utils import clean_model_output @@ -108,7 +107,6 @@ def get_systematization_questions( risk_description=risk_description, systematization_paper=SYSTEMATIZATION_PAPER_PATH.read_text(), ), - target="", ) model_outputs = execute_samples_against_model([sample], model_info, api_key) @@ -172,7 +170,6 @@ def get_systematized_concepts( sample = Sample( input=get_systematized_concepts_prompt(product_description, risk_description, questions, answers), - target="", ) model_outputs = execute_samples_against_model([sample], model_info, api_key) diff --git a/tests/aspis/api/test_main.py b/tests/aspis/api/test_main.py index f7f9d97..8f9f7b0 100644 --- a/tests/aspis/api/test_main.py +++ b/tests/aspis/api/test_main.py @@ -1,30 +1,32 @@ """Test for the API main module.""" import json +import os from io import BytesIO -from unittest.mock import ANY, Mock, patch +from unittest.mock import Mock, patch import pytest import yaml from fastapi.testclient import TestClient -from inspect_ai.scorer import model_graded_qa -from inspect_ai.solver import generate from aspis.api.main import app -from aspis.inferencer import ModelInfo +from aspis.inferencer import DEFAULT_PROXY_BASE_URL, ModelInfo from aspis.utils import clean_model_output +def _mock_completion(content: str) -> Mock: + return Mock(choices=[Mock(message=Mock(content=content))]) + + @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_evaluate_from_file_success(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_evaluate_from_file_success(mock_openai: Mock) -> None: test_scores = ['{"score": "test score 1"}', '```json{"score": "test score 2"}```', "not a valid json test score"] - mock_inspect_ai_eval.return_value = [ - Mock( - status="success", - samples=[Mock(output=Mock(choices=[Mock(message=Mock(content=test_score))])) for test_score in test_scores], - ), - ] + mock_client = Mock() + mock_openai.return_value = mock_client + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.side_effect = [_mock_completion(score) for score in test_scores] with TestClient(app) as client: test_text_to_evaluate = "Test text" @@ -77,20 +79,24 @@ def test_evaluate_from_file_success(mock_inspect_ai_eval: Mock) -> None: assert json_response[i]["result"] == expected_result assert json_response[i]["prompt"] == expected_prompts[i] - mock_inspect_ai_eval.assert_called_once_with(ANY, model=ModelInfo.OPENAI_GPT_4O.model_id, log_dir=ANY) - - inspect_call_args = mock_inspect_ai_eval.call_args_list[0][0][0] - assert expected_prompts == [s.input for s in inspect_call_args.dataset.samples] - assert len(inspect_call_args.solver) == 1 - assert inspect_call_args.solver[0].__qualname__ == generate().__qualname__ - assert len(inspect_call_args.scorer) == 1 - assert inspect_call_args.scorer[0].__qualname__ == model_graded_qa().__qualname__ + mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + assert mock_client.chat.completions.create.call_count == len(test_systematized_concepts) + for expected_prompt in expected_prompts: + mock_client.chat.completions.create.assert_any_call( + model=ModelInfo.OPENAI_GPT_4O.model_id, + messages=[{"role": "user", "content": expected_prompt}], + ) + assert os.environ.get(ModelInfo.OPENAI_GPT_4O.api_key_name) is None @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_evaluate_from_file_failure_evaluation_error(mock_inspect_ai_eval: Mock) -> None: - mock_inspect_ai_eval.return_value = [Mock(status="error", error="Test error")] +@patch("aspis.inferencer.OpenAI") +def test_evaluate_from_file_failure_evaluation_error(mock_openai: Mock) -> None: + mock_client = Mock() + mock_openai.return_value = mock_client + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.side_effect = RuntimeError("Test error") with TestClient(app) as client: test_systematized_concepts = [ @@ -140,29 +146,28 @@ def test_evaluate_from_file_failure_bad_format() -> None: @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_evaluate_from_file_with_model_success(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_evaluate_from_file_with_model_success(mock_openai: Mock) -> None: test_systematized_concepts = [ {"title": "Test concept 1", "prompt_template": "Test template 1 text"} ] file_content = yaml.safe_dump({"systematized_concepts": test_systematized_concepts}).encode("utf-8") - test_scores = [[{}, Mock(text='{"score": "test score 1"}')]] - mock_inspect_ai_eval.return_value = [ - Mock( - status="success", - samples=[Mock(output=Mock(choices=[Mock(message=Mock(content=test_score))])) for test_score in test_scores], - ), - ] + mock_client = Mock() + mock_openai.return_value = mock_client + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.return_value = _mock_completion('{"score": "test score 1"}') test_model_id = ModelInfo.GOOGLE_GEMINI_3_1_PRO_PREVIEW.model_id + test_api_key = "test api key" with TestClient(app) as client: response = client.post( "/evaluate_from_file", data={ "text_to_evaluate": "Test text", - "api_key": "test api key", + "api_key": test_api_key, "model": test_model_id, }, files={ @@ -175,7 +180,17 @@ def test_evaluate_from_file_with_model_success(mock_inspect_ai_eval: Mock) -> No ) assert response.status_code == 200 - mock_inspect_ai_eval.assert_called_once_with(ANY, model=test_model_id, log_dir=ANY) + mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_client.chat.completions.create.assert_called_once_with( + model=test_model_id, + messages=[ + { + "role": "user", + "content": "Test template 1 Test text text", + } + ], + ) + assert os.environ.get(ModelInfo.GOOGLE_GEMINI_3_1_PRO_PREVIEW.api_key_name) is None @pytest.mark.integration_test @@ -237,30 +252,28 @@ def test_evaluate_from_file_failure_missing_fields() -> None: @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_evaluate_from_file_failure_assertions(mock_inspect_ai_eval: Mock) -> None: - return_values_and_error_messages = [ - ([], "Expected exactly one result"), - (["a", "b"], "Expected exactly one result"), - ([Mock(status="success", samples=None)], "Expected samples to be not None"), - ( - [Mock(status="success", samples=[])], - "Expected number of samples to be the same as the number of samples in the task", - ), +@patch("aspis.inferencer.OpenAI") +def test_evaluate_from_file_failure_assertions(mock_openai: Mock) -> None: + return_values_and_expectations = [ ( - [Mock(status="success", samples=["a", "b"])], - "Expected number of samples to be the same as the number of samples in the task", + Mock(choices=[]), + 500, + "Evaluation failed: Expected at least one choice in the model response", ), ( - [Mock(status="success", samples=[Mock(output=Mock(choices=[Mock(message=Mock(content=123))]))])], - "Expected message content to be a string", + Mock(choices=[Mock(message=Mock(content=123))]), + 500, + "Evaluation failed: Unsupported model output content type: ", ), ] - for return_value, error_message in return_values_and_error_messages: - mock_inspect_ai_eval.return_value = return_value + for return_value, expected_status, error_message in return_values_and_expectations: + mock_client = Mock() + mock_openai.return_value = mock_client + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.return_value = return_value - """Test the API main module.""" with TestClient(app) as client: file_content = yaml.safe_dump( { @@ -288,7 +301,7 @@ def test_evaluate_from_file_failure_assertions(mock_inspect_ai_eval: Mock) -> No }, ) - assert response.status_code == 422 + assert response.status_code == expected_status assert response.json()["detail"] == error_message - mock_inspect_ai_eval.reset_mock() + mock_openai.reset_mock() diff --git a/tests/aspis/manual_test_inferencer.py b/tests/aspis/manual_test_inferencer.py index 2df5122..8ff417f 100644 --- a/tests/aspis/manual_test_inferencer.py +++ b/tests/aspis/manual_test_inferencer.py @@ -2,16 +2,15 @@ import os -from inspect_ai.dataset import Sample - -from aspis.inferencer import ModelInfo, execute_samples_against_model +from aspis.inferencer import ModelInfo, Sample, execute_samples_against_model from aspis.systematization import SYSTEMATIZATION_PAPER_PATH, SYSTEMATIZATION_PROMPT def run_inferencer_manual_test() -> None: """Run the inferencer manual test.""" model_info = ModelInfo.GOOGLE_GEMINI_3_1_FLASH_LITE - api_key = os.getenv(model_info.api_key_name) + api_key = os.getenv("ASPIS_API_KEY") or os.getenv("OPENAI_API_KEY") + assert api_key is not None, "Set ASPIS_API_KEY or OPENAI_API_KEY before running this manual test" sample = Sample( input=SYSTEMATIZATION_PROMPT.format( @@ -19,7 +18,6 @@ def run_inferencer_manual_test() -> None: risk_description="this is my risk", systematization_paper=SYSTEMATIZATION_PAPER_PATH.read_text(), ), - target="", ) model_outputs = execute_samples_against_model([sample], model_info, api_key) diff --git a/tests/aspis/test_inferencer.py b/tests/aspis/test_inferencer.py index e5733a4..ebb31f0 100644 --- a/tests/aspis/test_inferencer.py +++ b/tests/aspis/test_inferencer.py @@ -1,20 +1,120 @@ """Tests for the inferencer module.""" -from unittest.mock import Mock +import os +from types import SimpleNamespace +from unittest.mock import Mock, patch -from aspis.inferencer import ModelInfo, extract_string_output +import pytest + +from aspis.inferencer import ( + DEFAULT_PROXY_BASE_URL, + ModelInfo, + Sample, + create_openai_client, + execute_samples_against_model, + extract_string_output, +) def test_extract_string_output() -> None: test_cases = [ - (ModelInfo.OPENAI_GPT_4O, "test score", "test score"), - (ModelInfo.OPENAI_GPT_5_5, [{}, Mock(text="test score")], "test score"), - (ModelInfo.OPENAI_GPT_5_4_MINI, [Mock(text="test score")], "test score"), - (ModelInfo.GOOGLE_GEMINI_3_1_PRO_PREVIEW, [{}, Mock(text="test score")], "test score"), - (ModelInfo.GOOGLE_GEMINI_3_FLASH_PREVIEW, [{}, Mock(text="test score")], "test score"), - (ModelInfo.GOOGLE_GEMINI_3_1_FLASH_LITE, [{}, Mock(text="test score")], "test score"), + ("test score", "test score"), + (["part1", "part2"], "part2"), + ([Mock(text="test score")], "test score"), + ([{"text": "test score"}], "test score"), + # Reasoning then answer: take the final non-reasoning text part. + ([SimpleNamespace(text="reasoning"), SimpleNamespace(text="answer")], "answer"), + ( + [ + SimpleNamespace(type="reasoning", text="thinking..."), + SimpleNamespace(type="text", text='{"score": 1}'), + ], + '{"score": 1}', + ), + ( + [ + {"type": "thinking", "text": "step by step"}, + {"type": "text", "text": "final answer"}, + ], + "final answer", + ), ] - for test_case in test_cases: - model_info, model_output, expected_output = test_case - assert extract_string_output(model_output, model_info) == expected_output + for model_output, expected_output in test_cases: + assert extract_string_output(model_output) == expected_output + + +def test_extract_string_output_unsupported() -> None: + with pytest.raises(ValueError, match="Unsupported model output content type"): + extract_string_output(123) + + +@patch("aspis.inferencer.OpenAI") +def test_create_openai_client_passes_api_key_and_proxy(mock_openai: Mock) -> None: + api_key = "test-api-key" + create_openai_client(api_key) + + mock_openai.assert_called_once_with(api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL) + assert os.environ.get("OPENAI_API_KEY") is None + assert os.environ.get("GOOGLE_API_KEY") is None + assert os.environ.get("ANTHROPIC_API_KEY") is None + + +@patch("aspis.inferencer.OpenAI") +def test_execute_samples_against_model_uses_per_call_client(mock_openai: Mock) -> None: + api_key = "caller-api-key" + model_info = ModelInfo.OPENAI_GPT_4O + samples = [Sample(input="prompt one"), Sample(input="prompt two")] + + mock_client = Mock() + mock_openai.return_value = mock_client + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.side_effect = [ + Mock(choices=[Mock(message=Mock(content="output one"))]), + Mock(choices=[Mock(message=Mock(content="output two"))]), + ] + + outputs = execute_samples_against_model(samples, model_info, api_key) + + assert outputs == ["output one", "output two"] + mock_openai.assert_called_once_with(api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL) + assert mock_client.chat.completions.create.call_count == 2 + mock_client.chat.completions.create.assert_any_call( + model=model_info.model_id, + messages=[{"role": "user", "content": "prompt one"}], + ) + mock_client.chat.completions.create.assert_any_call( + model=model_info.model_id, + messages=[{"role": "user", "content": "prompt two"}], + ) + mock_client.__exit__.assert_called_once() + assert os.environ.get(model_info.api_key_name) is None + + +@patch("aspis.inferencer.OpenAI") +def test_execute_samples_against_model_raises_on_api_error(mock_openai: Mock) -> None: + mock_client = Mock() + mock_openai.return_value = mock_client + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.side_effect = RuntimeError("boom") + + with pytest.raises(ValueError, match="Error during evaluation") as exc_info: + execute_samples_against_model([Sample(input="prompt")], ModelInfo.OPENAI_GPT_4O, "key") + + assert isinstance(exc_info.value.__cause__, RuntimeError) + mock_openai.assert_called_once_with(api_key="key", base_url=DEFAULT_PROXY_BASE_URL) + mock_client.__exit__.assert_called_once() + + +@patch("aspis.inferencer.OpenAI") +def test_execute_samples_against_model_raises_on_empty_choices(mock_openai: Mock) -> None: + mock_client = Mock() + mock_openai.return_value = mock_client + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.return_value = Mock(choices=[]) + + with pytest.raises(ValueError, match="Expected at least one choice"): + execute_samples_against_model([Sample(input="prompt")], ModelInfo.OPENAI_GPT_4O, "key") diff --git a/tests/aspis/test_systematization.py b/tests/aspis/test_systematization.py index 641b9d3..31c16b3 100644 --- a/tests/aspis/test_systematization.py +++ b/tests/aspis/test_systematization.py @@ -3,9 +3,7 @@ import json from unittest.mock import Mock, patch -from inspect_ai.dataset import Sample - -from aspis.inferencer import ModelInfo +from aspis.inferencer import ModelInfo, Sample from aspis.systematization import ( SYSTEMATIZATION_PAPER_PATH, SYSTEMATIZATION_PROMPT, @@ -46,7 +44,6 @@ def test_get_systematization_questions_success(mock_execute_samples: Mock) -> No [ Sample( input=get_systematization_questions_prompt(test_product_description, test_risk_description), - target="", ) ], test_model_info, @@ -87,7 +84,6 @@ def test_get_systematization_questions_failure_invalid_results(mock_execute_samp [ Sample( input=get_systematization_questions_prompt(test_product_description, test_risk_description), - target="", ) ], test_model_info, @@ -143,7 +139,6 @@ def test_get_systematized_concepts_success(mock_execute_samples: Mock) -> None: test_questions, test_answers, ), - target="", ) ], test_model_info, @@ -194,7 +189,6 @@ def test_get_systematized_concepts_failure_invalid_results(mock_execute_samples: test_questions, test_answers, ), - target="", ) ], test_model_info, diff --git a/tests/aspis/ui/test_main.py b/tests/aspis/ui/test_main.py index d59ac59..7e02e6c 100644 --- a/tests/aspis/ui/test_main.py +++ b/tests/aspis/ui/test_main.py @@ -10,10 +10,9 @@ import pytest import yaml -from inspect_ai.dataset import Sample from streamlit.testing.v1 import AppTest -from aspis.inferencer import ModelInfo +from aspis.inferencer import DEFAULT_PROXY_BASE_URL, ModelInfo from aspis.systematization import ( SystematizedConcept, get_systematization_questions_prompt, @@ -21,24 +20,28 @@ ) -def make_inspect_ai_side_effect(model_info: ModelInfo, api_key: str, return_value: Any) -> Callable[[...], list[Mock]]: - side_effect_return = [ - Mock( - status="success", - samples=[Mock(output=Mock(choices=[Mock(message=Mock(content=json.dumps(return_value)))]))], - ), - ] +def make_openai_side_effect(api_key: str, return_value: Any) -> Callable[..., Mock]: + def side_effect(*args: Any, **kwargs: Any) -> Mock: + assert kwargs.get("api_key") == api_key + assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + assert os.environ.get("OPENAI_API_KEY") is None + assert os.environ.get("GOOGLE_API_KEY") is None + assert os.environ.get("ANTHROPIC_API_KEY") is None - def side_effect(*args: Any, **kwargs: Any) -> list[Mock]: - assert os.environ[model_info.api_key_name] == api_key - return side_effect_return + mock_client = Mock() + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.return_value = Mock( + choices=[Mock(message=Mock(content=json.dumps(return_value)))] + ) + return mock_client return side_effect @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_render_inputs_when_empty(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_render_inputs_when_empty(mock_openai: Mock) -> None: app = AppTest.from_file("src/aspis/ui/main.py") app.run() @@ -48,7 +51,7 @@ def test_main_render_inputs_when_empty(mock_inspect_ai_eval: Mock) -> None: assert "risk_description" not in app.session_state assert "product_description" not in app.session_state - mock_inspect_ai_eval.assert_not_called() + mock_openai.assert_not_called() assert app.selectbox("model_info_input").label == "Select the model you want to use:" assert app.selectbox("model_info_input").options == [model.friendly_name for model in list(ModelInfo)] assert app.selectbox("model_info_input").index == 0 @@ -61,15 +64,29 @@ def test_main_render_inputs_when_empty(mock_inspect_ai_eval: Mock) -> None: @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_ask_for_questions_when_inputs_are_set(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_ask_for_questions_when_inputs_are_set(mock_openai: Mock) -> None: test_questions = ["test question"] test_api_key = "test api key" test_model_info = ModelInfo.OPENAI_GPT_4O test_risk_description = "test risk description" test_product_description = "test product description" - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect(test_model_info, test_api_key, test_questions) + created_clients: list[Mock] = [] + + def side_effect(*args: Any, **kwargs: Any) -> Mock: + assert kwargs.get("api_key") == test_api_key + assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + mock_client = Mock() + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.return_value = Mock( + choices=[Mock(message=Mock(content=json.dumps(test_questions)))] + ) + created_clients.append(mock_client) + return mock_client + + mock_openai.side_effect = side_effect app = AppTest.from_file("src/aspis/ui/main.py") @@ -80,25 +97,29 @@ def test_main_ask_for_questions_when_inputs_are_set(mock_inspect_ai_eval: Mock) app.run() - assert mock_inspect_ai_eval.call_count == 1 - mock_inspect_ai_eval.assert_called_once_with(ANY, model=test_model_info.model_id, log_dir=ANY) - task = mock_inspect_ai_eval.call_args_list[0][0][0] - expected_sample = Sample( - input=get_systematization_questions_prompt(test_product_description, test_risk_description), - target="", + assert mock_openai.call_count == 1 + mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + assert len(created_clients) == 1 + created_clients[0].chat.completions.create.assert_called_once_with( + model=test_model_info.model_id, + messages=[ + { + "role": "user", + "content": get_systematization_questions_prompt(test_product_description, test_risk_description), + } + ], ) - assert task.dataset[0] == expected_sample assert os.environ.get(test_model_info.api_key_name, None) is None @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_render_error_messages_when_inputs_are_not_set(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_render_error_messages_when_inputs_are_not_set(mock_openai: Mock) -> None: test_api_key = "test api key" test_risk_description = "test risk description" test_product_description = "test product description" test_model_info = ModelInfo.OPENAI_GPT_4O - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect(test_model_info, test_api_key, ["test question"]) + mock_openai.side_effect = make_openai_side_effect(test_api_key, ["test question"]) # Empty API key app = AppTest.from_file("src/aspis/ui/main.py") @@ -156,17 +177,17 @@ def test_main_render_error_messages_when_inputs_are_not_set(mock_inspect_ai_eval assert app.session_state.model_info == test_model_info assert app.session_state.risk_description == test_risk_description assert app.session_state.product_description == test_product_description - mock_inspect_ai_eval.assert_called() + mock_openai.assert_called() @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_render_error_when_questions_are_none(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_render_error_when_questions_are_none(mock_openai: Mock) -> None: test_api_key = "test api key" test_risk_description = "test risk description" test_product_description = "test product description" test_model_info = ModelInfo.OPENAI_GPT_4O - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect(test_model_info, test_api_key, None) + mock_openai.side_effect = make_openai_side_effect(test_api_key, None) app = AppTest.from_file("src/aspis/ui/main.py") app.run() @@ -179,28 +200,36 @@ def test_main_render_error_when_questions_are_none(mock_inspect_ai_eval: Mock) - app.button("generate_questions_button").click() app.run() - assert mock_inspect_ai_eval.call_count == 1 - mock_inspect_ai_eval.assert_called_once_with(ANY, model=test_model_info.model_id, log_dir=ANY) - task = mock_inspect_ai_eval.call_args_list[0][0][0] - expected_sample = Sample( - input=get_systematization_questions_prompt(test_product_description, test_risk_description), - target="", - ) - assert task.dataset[0] == expected_sample + assert mock_openai.call_count == 1 + mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) assert os.environ.get(test_model_info.api_key_name, None) is None assert app.error[0].value == "Error generating questions. Please try again." @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_render_questions_on_success(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_render_questions_on_success(mock_openai: Mock) -> None: test_questions = ["test question 1", "test question 2"] test_api_key = "test api key" test_model_info = ModelInfo.OPENAI_GPT_4O test_product_description = "test product description" test_risk_description = "test risk description" - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect(test_model_info, test_api_key, test_questions) + created_clients: list[Mock] = [] + + def side_effect(*args: Any, **kwargs: Any) -> Mock: + assert kwargs.get("api_key") == test_api_key + assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + mock_client = Mock() + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.return_value = Mock( + choices=[Mock(message=Mock(content=json.dumps(test_questions)))] + ) + created_clients.append(mock_client) + return mock_client + + mock_openai.side_effect = side_effect app = AppTest.from_file("src/aspis/ui/main.py") app.run() @@ -213,13 +242,17 @@ def test_main_render_questions_on_success(mock_inspect_ai_eval: Mock) -> None: app.button("generate_questions_button").click() app.run() - mock_inspect_ai_eval.assert_called_once_with(ANY, model=test_model_info.model_id, log_dir=ANY) - task = mock_inspect_ai_eval.call_args_list[0][0][0] - expected_sample = Sample( - input=get_systematization_questions_prompt(test_product_description, test_risk_description), - target="", + mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + assert len(created_clients) == 1 + created_clients[0].chat.completions.create.assert_called_once_with( + model=test_model_info.model_id, + messages=[ + { + "role": "user", + "content": get_systematization_questions_prompt(test_product_description, test_risk_description), + } + ], ) - assert task.dataset[0] == expected_sample assert os.environ.get(test_model_info.api_key_name, None) is None for i in range(len(test_questions)): @@ -227,14 +260,14 @@ def test_main_render_questions_on_success(mock_inspect_ai_eval: Mock) -> None: @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_error_when_answers_are_empty(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_error_when_answers_are_empty(mock_openai: Mock) -> None: test_questions = ["test question 1", "test question 2"] test_api_key = "test api key" test_risk_description = "test risk description" test_product_description = "test product description" test_model_info = ModelInfo.OPENAI_GPT_4O - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect(test_model_info, test_api_key, test_questions) + mock_openai.side_effect = make_openai_side_effect(test_api_key, test_questions) app = AppTest.from_file("src/aspis/ui/main.py") @@ -253,8 +286,8 @@ def test_main_error_when_answers_are_empty(mock_inspect_ai_eval: Mock) -> None: @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_saves_answers_on_success(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_saves_answers_on_success(mock_openai: Mock) -> None: test_api_key = "test api key" test_model_info = ModelInfo.OPENAI_GPT_4O test_risk_description = "test risk description" @@ -275,7 +308,7 @@ def test_main_saves_answers_on_success(mock_inspect_ai_eval: Mock) -> None: app.text_area("answer_input_1").set_value(test_answers[0]) app.text_area("answer_input_2").set_value(test_answers[1]) - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect(test_model_info, test_api_key, test_answers) + mock_openai.side_effect = make_openai_side_effect(test_api_key, test_answers) app.button("submit_answers_button").click() app.run() @@ -284,8 +317,8 @@ def test_main_saves_answers_on_success(mock_inspect_ai_eval: Mock) -> None: @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_render_results_when_answers_are_set(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_render_results_when_answers_are_set(mock_openai: Mock) -> None: test_product_description = "test product description" test_risk_description = "test risk description" test_api_key = "test api key" @@ -306,6 +339,20 @@ def test_main_render_results_when_answers_are_set(mock_inspect_ai_eval: Mock) -> }, ] + created_clients: list[Mock] = [] + + def side_effect(*args: Any, **kwargs: Any) -> Mock: + assert kwargs.get("api_key") == test_api_key + assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + mock_client = Mock() + mock_client.__enter__ = Mock(return_value=mock_client) + mock_client.__exit__ = Mock(return_value=False) + mock_client.chat.completions.create.return_value = Mock( + choices=[Mock(message=Mock(content=json.dumps(test_systematized_concepts)))] + ) + created_clients.append(mock_client) + return mock_client + app = AppTest.from_file("src/aspis/ui/main.py") app.session_state.model_info = test_model_info @@ -319,9 +366,7 @@ def test_main_render_results_when_answers_are_set(mock_inspect_ai_eval: Mock) -> app.text_area("answer_input_1").set_value(test_answers[0]) app.text_area("answer_input_2").set_value(test_answers[1]) - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect( - test_model_info, test_api_key, test_systematized_concepts - ) + mock_openai.side_effect = side_effect app.button("submit_answers_button").click() app.run() @@ -333,26 +378,30 @@ def test_main_render_results_when_answers_are_set(mock_inspect_ai_eval: Mock) -> assert app.markdown[9].value == test_systematized_concepts[1]["body"] assert app.code[1].value == test_systematized_concepts[1]["prompt_template"] - assert mock_inspect_ai_eval.call_count == 1 - mock_inspect_ai_eval.assert_called_with(ANY, model=test_model_info.model_id, log_dir=ANY) - task = mock_inspect_ai_eval.call_args_list[0][0][0] - expected_sample = Sample( - input=get_systematized_concepts_prompt( - test_product_description, - test_risk_description, - test_questions, - test_answers, - ), - target="", + assert mock_openai.call_count == 1 + mock_openai.assert_called_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + assert len(created_clients) == 1 + created_clients[0].chat.completions.create.assert_called_once_with( + model=test_model_info.model_id, + messages=[ + { + "role": "user", + "content": get_systematized_concepts_prompt( + test_product_description, + test_risk_description, + test_questions, + test_answers, + ), + } + ], ) - assert task.dataset[0] == expected_sample assert os.environ.get(test_model_info.api_key_name, None) is None @pytest.mark.integration_test -@patch("aspis.inferencer.inspect_ai_eval") -def test_main_render_error_when_systematized_concepts_are_none(mock_inspect_ai_eval: Mock) -> None: +@patch("aspis.inferencer.OpenAI") +def test_main_render_error_when_systematized_concepts_are_none(mock_openai: Mock) -> None: test_product_description = "test product description" test_risk_description = "test risk description" test_api_key = "test api key" @@ -374,24 +423,12 @@ def test_main_render_error_when_systematized_concepts_are_none(mock_inspect_ai_e app.text_area("answer_input_1").set_value(test_answers[0]) app.text_area("answer_input_2").set_value(test_answers[1]) - mock_inspect_ai_eval.side_effect = make_inspect_ai_side_effect(test_model_info, test_api_key, None) + mock_openai.side_effect = make_openai_side_effect(test_api_key, None) app.button("submit_answers_button").click() app.run() - mock_inspect_ai_eval.assert_called_once_with(ANY, model=test_model_info.model_id, log_dir=ANY) - task = mock_inspect_ai_eval.call_args_list[0][0][0] - expected_sample = Sample( - input=get_systematized_concepts_prompt( - test_product_description, - test_risk_description, - test_questions, - test_answers, - ), - target="", - ) - assert task.dataset[0] == expected_sample - + mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) assert os.environ.get(test_model_info.api_key_name, None) is None assert app.error[0].value == "Error generating systematized concepts. 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Drop the Sample dataclass and pass prompt strings directly into execute_samples_against_model. Co-authored-by: Cursor --- src/aspis/inferencer.py | 30 +++++++-------------- src/aspis/systematization.py | 20 ++++++-------- tests/aspis/manual_test_inferencer.py | 14 +++++----- tests/aspis/test_inferencer.py | 9 +++---- tests/aspis/test_systematization.py | 38 +++++++++------------------ 5 files changed, 40 insertions(+), 71 deletions(-) diff --git a/src/aspis/inferencer.py b/src/aspis/inferencer.py index 4335639..ec567f3 100644 --- a/src/aspis/inferencer.py +++ b/src/aspis/inferencer.py @@ -2,7 +2,6 @@ import json import os -from dataclasses import dataclass from enum import Enum from typing import Any, Self @@ -18,13 +17,6 @@ _REASONING_PART_TYPES = frozenset({"reasoning", "thinking", "reasoning_content"}) -@dataclass(frozen=True) -class Sample: - """A single prompt sample to send to a model.""" - - input: str - - class ModelInfo(str, Enum): """Information about the supported models for inferencing.""" @@ -105,13 +97,13 @@ def create_openai_client(api_key: str) -> OpenAI: return OpenAI(api_key=api_key, base_url=get_proxy_base_url()) -def execute_samples_against_model(samples: list[Sample], model_info: ModelInfo, api_key: str) -> list[str]: - """Executes a list of samples against a model and returns the model outputs. +def execute_samples_against_model(prompts: list[str], model_info: ModelInfo, api_key: str) -> list[str]: + """Executes a list of prompts against a model and returns the model outputs. Args: - samples: The list of samples to execute against the model. - model_info: The information about the model to execute the samples against. - api_key: The API key to use to execute the samples against the model. + prompts: The list of prompt strings to execute against the model. + model_info: The information about the model to execute the prompts against. + api_key: The API key to use to execute the prompts against the model. Returns: The model outputs. @@ -120,11 +112,11 @@ def execute_samples_against_model(samples: list[Sample], model_info: ModelInfo, model_outputs = [] with create_openai_client(api_key) as client: - for sample in samples: + for prompt in prompts: try: response = client.chat.completions.create( model=model_info.model_id, - messages=[{"role": "user", "content": sample.input}], + messages=[{"role": "user", "content": prompt}], ) except Exception as e: logger.exception("Error during model evaluation for model %s", model_info.model_id) @@ -158,12 +150,8 @@ def evaluate_text( Returns: The inferred output from the model, parsed from a json to a dictionary. """ - samples = [] - for prompt_template in prompt_templates: - input_prompt = get_inference_prompt(input_text, prompt_template) - samples.append(Sample(input=input_prompt)) - - model_outputs = execute_samples_against_model(samples, model_info, api_key) + prompts = [get_inference_prompt(input_text, prompt_template) for prompt_template in prompt_templates] + model_outputs = execute_samples_against_model(prompts, model_info, api_key) parsed_model_outputs = [] for model_output in model_outputs: diff --git a/src/aspis/systematization.py b/src/aspis/systematization.py index 7bb6dc7..edc8fc6 100644 --- a/src/aspis/systematization.py +++ b/src/aspis/systematization.py @@ -6,7 +6,7 @@ from langchain_core.prompts import ChatPromptTemplate -from aspis.inferencer import ModelInfo, Sample, execute_samples_against_model +from aspis.inferencer import ModelInfo, execute_samples_against_model from aspis.logging import logger from aspis.utils import clean_model_output @@ -101,15 +101,13 @@ def get_systematization_questions( """ logger.info("Querying model for systematization questions") - sample = Sample( - input=SYSTEMATIZATION_PROMPT.format( - product_description=product_description, - risk_description=risk_description, - systematization_paper=SYSTEMATIZATION_PAPER_PATH.read_text(), - ), + prompt = SYSTEMATIZATION_PROMPT.format( + product_description=product_description, + risk_description=risk_description, + systematization_paper=SYSTEMATIZATION_PAPER_PATH.read_text(), ) - model_outputs = execute_samples_against_model([sample], model_info, api_key) + model_outputs = execute_samples_against_model([prompt], model_info, api_key) assert len(model_outputs) == 1, "Expected exactly one model output" model_output = model_outputs[0] @@ -168,11 +166,9 @@ def get_systematized_concepts( # Format questions and answers for the prompt logger.info("Querying model for systematized concepts") - sample = Sample( - input=get_systematized_concepts_prompt(product_description, risk_description, questions, answers), - ) + prompt = get_systematized_concepts_prompt(product_description, risk_description, questions, answers) - model_outputs = execute_samples_against_model([sample], model_info, api_key) + model_outputs = execute_samples_against_model([prompt], model_info, api_key) assert len(model_outputs) == 1, "Expected exactly one model output" model_output = model_outputs[0] diff --git a/tests/aspis/manual_test_inferencer.py b/tests/aspis/manual_test_inferencer.py index 8ff417f..c9394e5 100644 --- a/tests/aspis/manual_test_inferencer.py +++ b/tests/aspis/manual_test_inferencer.py @@ -2,7 +2,7 @@ import os -from aspis.inferencer import ModelInfo, Sample, execute_samples_against_model +from aspis.inferencer import ModelInfo, execute_samples_against_model from aspis.systematization import SYSTEMATIZATION_PAPER_PATH, SYSTEMATIZATION_PROMPT @@ -12,15 +12,13 @@ def run_inferencer_manual_test() -> None: api_key = os.getenv("ASPIS_API_KEY") or os.getenv("OPENAI_API_KEY") assert api_key is not None, "Set ASPIS_API_KEY or OPENAI_API_KEY before running this manual test" - sample = Sample( - input=SYSTEMATIZATION_PROMPT.format( - product_description="this is my product", - risk_description="this is my risk", - systematization_paper=SYSTEMATIZATION_PAPER_PATH.read_text(), - ), + prompt = SYSTEMATIZATION_PROMPT.format( + product_description="this is my product", + risk_description="this is my risk", + systematization_paper=SYSTEMATIZATION_PAPER_PATH.read_text(), ) - model_outputs = execute_samples_against_model([sample], model_info, api_key) + model_outputs = execute_samples_against_model([prompt], model_info, api_key) print(model_outputs) diff --git a/tests/aspis/test_inferencer.py b/tests/aspis/test_inferencer.py index ebb31f0..b133e10 100644 --- a/tests/aspis/test_inferencer.py +++ b/tests/aspis/test_inferencer.py @@ -9,7 +9,6 @@ from aspis.inferencer import ( DEFAULT_PROXY_BASE_URL, ModelInfo, - Sample, create_openai_client, execute_samples_against_model, extract_string_output, @@ -64,7 +63,7 @@ def test_create_openai_client_passes_api_key_and_proxy(mock_openai: Mock) -> Non def test_execute_samples_against_model_uses_per_call_client(mock_openai: Mock) -> None: api_key = "caller-api-key" model_info = ModelInfo.OPENAI_GPT_4O - samples = [Sample(input="prompt one"), Sample(input="prompt two")] + prompts = ["prompt one", "prompt two"] mock_client = Mock() mock_openai.return_value = mock_client @@ -75,7 +74,7 @@ def test_execute_samples_against_model_uses_per_call_client(mock_openai: Mock) - Mock(choices=[Mock(message=Mock(content="output two"))]), ] - outputs = execute_samples_against_model(samples, model_info, api_key) + outputs = execute_samples_against_model(prompts, model_info, api_key) assert outputs == ["output one", "output two"] mock_openai.assert_called_once_with(api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL) @@ -101,7 +100,7 @@ def test_execute_samples_against_model_raises_on_api_error(mock_openai: Mock) -> mock_client.chat.completions.create.side_effect = RuntimeError("boom") with pytest.raises(ValueError, match="Error during evaluation") as exc_info: - execute_samples_against_model([Sample(input="prompt")], ModelInfo.OPENAI_GPT_4O, "key") + execute_samples_against_model(["prompt"], ModelInfo.OPENAI_GPT_4O, "key") assert isinstance(exc_info.value.__cause__, RuntimeError) mock_openai.assert_called_once_with(api_key="key", base_url=DEFAULT_PROXY_BASE_URL) @@ -117,4 +116,4 @@ def test_execute_samples_against_model_raises_on_empty_choices(mock_openai: Mock mock_client.chat.completions.create.return_value = Mock(choices=[]) with pytest.raises(ValueError, match="Expected at least one choice"): - execute_samples_against_model([Sample(input="prompt")], ModelInfo.OPENAI_GPT_4O, "key") + execute_samples_against_model(["prompt"], ModelInfo.OPENAI_GPT_4O, "key") diff --git a/tests/aspis/test_systematization.py b/tests/aspis/test_systematization.py index 31c16b3..4e1cf7e 100644 --- a/tests/aspis/test_systematization.py +++ b/tests/aspis/test_systematization.py @@ -3,7 +3,7 @@ import json from unittest.mock import Mock, patch -from aspis.inferencer import ModelInfo, Sample +from aspis.inferencer import ModelInfo from aspis.systematization import ( SYSTEMATIZATION_PAPER_PATH, SYSTEMATIZATION_PROMPT, @@ -41,11 +41,7 @@ def test_get_systematization_questions_success(mock_execute_samples: Mock) -> No assert questions == ["test question 1", "test question 2"] mock_execute_samples.assert_called_once_with( - [ - Sample( - input=get_systematization_questions_prompt(test_product_description, test_risk_description), - ) - ], + [get_systematization_questions_prompt(test_product_description, test_risk_description)], test_model_info, test_openai_api_key, ) @@ -81,11 +77,7 @@ def test_get_systematization_questions_failure_invalid_results(mock_execute_samp assert questions is None mock_execute_samples.assert_called_once_with( - [ - Sample( - input=get_systematization_questions_prompt(test_product_description, test_risk_description), - ) - ], + [get_systematization_questions_prompt(test_product_description, test_risk_description)], test_model_info, test_openai_api_key, ) @@ -132,13 +124,11 @@ def test_get_systematized_concepts_success(mock_execute_samples: Mock) -> None: mock_execute_samples.assert_called_once_with( [ - Sample( - input=get_systematized_concepts_prompt( - test_product_description, - test_risk_description, - test_questions, - test_answers, - ), + get_systematized_concepts_prompt( + test_product_description, + test_risk_description, + test_questions, + test_answers, ) ], test_model_info, @@ -182,13 +172,11 @@ def test_get_systematized_concepts_failure_invalid_results(mock_execute_samples: assert systematized_concepts is None mock_execute_samples.assert_called_once_with( [ - Sample( - input=get_systematized_concepts_prompt( - test_product_description, - test_risk_description, - test_questions, - test_answers, - ), + get_systematized_concepts_prompt( + test_product_description, + test_risk_description, + test_questions, + test_answers, ) ], test_model_info, From c8544914629cbb417413f573a44fcb6209c13119 Mon Sep 17 00:00:00 2001 From: Marcelo Lotif Date: Mon, 10 Aug 2026 14:33:48 -0400 Subject: [PATCH 3/7] Update model IDs for the Vector proxy and drop api_key_name. Use bare proxy model names, remove unused key-name metadata, and sync tests and docs. Co-authored-by: Cursor --- CONTRIBUTING.md | 7 +++-- README.md | 7 +++-- src/aspis/api/main.py | 9 +++---- src/aspis/inferencer.py | 37 ++++++++------------------- tests/aspis/api/test_main.py | 5 +--- tests/aspis/manual_test_inferencer.py | 2 +- tests/aspis/test_inferencer.py | 5 ---- tests/aspis/ui/test_main.py | 10 -------- 8 files changed, 22 insertions(+), 60 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e2e983c..4213167 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -85,10 +85,9 @@ endpoint that takes a form data with the following fields: - An `api_key` to access the models - A file upload `systematized_concepts_file`, which can be downloaded after answering all the questions from the main app. -- (Optional) The model to use for the evaluation. Default is `openai/gpt-4o`. Possible values -are `openai/gpt-4o`, `openai/gpt-5.5`, `openai/gpt-5.4-mini`, `google/gemini-3.1-pro-preview`, -`google/gemini-3-flash-preview`, `google/gemini-3.1-flash-lite`, `anthropic/claude-opus-4-7`, -`anthropic/claude-sonnet-4-6` and `anthropic/claude-haiku-4-5-20251001`. +- (Optional) The model to use for the evaluation. Default is `gpt-4o`. Possible values +are `gpt-4o`, `gpt-5.5`, `gpt-5.4-mini`, `gemini-3.1-pro-preview`, +`gemini-3-flash-preview`, `claude-opus-4-7`, and `claude-sonnet-4-6`. To see the full documentation for the available endpoints, you can access `http://localhost:8000/docs` on your browser. diff --git a/README.md b/README.md index 9e2b1ca..67a4eed 100644 --- a/README.md +++ b/README.md @@ -85,10 +85,9 @@ endpoint that takes a form data with the following fields: - An `api_key` to access the models - A file upload `systematized_concepts_file`, which can be downloaded after answering all the questions from the main app. -- (Optional) The model to use for the evaluation. Default is `openai/gpt-4o`. Possible values -are `openai/gpt-4o`, `openai/gpt-5.5`, `openai/gpt-5.4-mini`, `google/gemini-3.1-pro-preview`, -`google/gemini-3-flash-preview`, `google/gemini-3.1-flash-lite`, `anthropic/claude-opus-4-7`, -`anthropic/claude-sonnet-4-6` and `anthropic/claude-haiku-4-5-20251001`. +- (Optional) The model to use for the evaluation. Default is `gpt-4o`. Possible values +are `gpt-4o`, `gpt-5.5`, `gpt-5.4-mini`, `gemini-3.1-pro-preview`, +`gemini-3-flash-preview`, `claude-opus-4-7`, and `claude-sonnet-4-6`. To see the full documentation for the available endpoints, you can access `http://localhost:8080/api/docs` on your browser. diff --git a/src/aspis/api/main.py b/src/aspis/api/main.py index 755c9fe..afc9a9c 100644 --- a/src/aspis/api/main.py +++ b/src/aspis/api/main.py @@ -45,11 +45,10 @@ async def evaluate( text_to_evaluate: The text to evaluate. api_key: The API key to use to connect to the model. model: The model to use for this evaluation. Optional, - defaults to `openai/gpt-4o`. Allowed values are `openai/gpt-4o`, - `openai/gpt-5.5`, `openai/gpt-5.4-mini`, `google/gemini-3.1-pro-preview`, - `google/gemini-3-flash-preview`, `google/gemini-3.1-flash-lite`, - `anthropic/claude-opus-4-7`, `anthropic/claude-sonnet-4-6` - and `anthropic/claude-haiku-4-5-20251001`. + defaults to `gpt-4o`. Allowed values are `gpt-4o`, + `gpt-5.5`, `gpt-5.4-mini`, `gemini-3.1-pro-preview`, + `gemini-3-flash-preview`, `claude-opus-4-7`, and + `claude-sonnet-4-6`. systematized_concepts_file: The file containing the systematized concepts. It must be a `.yaml` file that contains a `systematized_concepts` key with a list of systematized concepts. Each systematized concept must diff --git a/src/aspis/inferencer.py b/src/aspis/inferencer.py index ec567f3..4e523a1 100644 --- a/src/aspis/inferencer.py +++ b/src/aspis/inferencer.py @@ -22,31 +22,16 @@ class ModelInfo(str, Enum): model_id: str friendly_name: str - api_key_name: str - - OPENAI_GPT_4O = ("openai/gpt-4o", "GPT-4o (OpenAI)", "OPENAI_API_KEY") - OPENAI_GPT_5_5 = ("openai/gpt-5.5", "GPT-5.5 (OpenAI)", "OPENAI_API_KEY") - OPENAI_GPT_5_4_MINI = ("openai/gpt-5.4-mini", "GPT-5.4-mini (OpenAI)", "OPENAI_API_KEY") - GOOGLE_GEMINI_3_1_PRO_PREVIEW = ( - "google/gemini-3.1-pro-preview", - "Gemini 3.1 Pro Preview (Google)", - "GOOGLE_API_KEY", - ) - GOOGLE_GEMINI_3_FLASH_PREVIEW = ( - "google/gemini-3-flash-preview", - "Gemini 3 Flash Preview (Google)", - "GOOGLE_API_KEY", - ) - GOOGLE_GEMINI_3_1_FLASH_LITE = ("google/gemini-3.1-flash-lite", "Gemini 3.1 Flash Lite (Google)", "GOOGLE_API_KEY") - ANTHROPIC_CLAUDE_4_7_OPUS = ("anthropic/claude-opus-4-7", "Claude Opus 4.7 (Anthropic)", "ANTHROPIC_API_KEY") - ANTHROPIC_CLAUDE_4_6_SONNET = ("anthropic/claude-sonnet-4-6", "Claude Sonnet 4.6 (Anthropic)", "ANTHROPIC_API_KEY") - ANTHROPIC_CLAUDE_4_5_HAIKU = ( - "anthropic/claude-haiku-4-5-20251001", - "Claude Haiku 4.5(Anthropic)", - "ANTHROPIC_API_KEY", - ) - - def __new__(cls, model_id: str, friendly_name: str, api_key_name: str) -> Self: + + OPENAI_GPT_4O = ("gpt-4o", "GPT-4o (OpenAI)") + OPENAI_GPT_5_5 = ("gpt-5.5", "GPT-5.5 (OpenAI)") + OPENAI_GPT_5_4_MINI = ("gpt-5.4-mini", "GPT-5.4-mini (OpenAI)") + GOOGLE_GEMINI_3_1_PRO_PREVIEW = ("gemini-3.1-pro-preview", "Gemini 3.1 Pro Preview (Google)") + GOOGLE_GEMINI_3_FLASH_PREVIEW = ("gemini-3-flash-preview", "Gemini 3 Flash Preview (Google)") + ANTHROPIC_CLAUDE_4_7_OPUS = ("claude-opus-4-7", "Claude Opus 4.7 (Anthropic)") + ANTHROPIC_CLAUDE_4_6_SONNET = ("claude-sonnet-4-6", "Claude Sonnet 4.6 (Anthropic)") + + def __new__(cls, model_id: str, friendly_name: str) -> Self: """Make a new ModelInfo enum object. The value of the enum will be the model ID. @@ -54,13 +39,11 @@ def __new__(cls, model_id: str, friendly_name: str, api_key_name: str) -> Self: Args: model_id: The ID of the model. friendly_name: The friendly name of the model (displayed in the UI). - api_key_name: The name of the API key to use to connect to the model. """ obj = str.__new__(cls, model_id) obj._value_ = model_id obj.model_id = model_id obj.friendly_name = friendly_name - obj.api_key_name = api_key_name return obj def __str__(self) -> str: diff --git a/tests/aspis/api/test_main.py b/tests/aspis/api/test_main.py index 8f9f7b0..ab6043c 100644 --- a/tests/aspis/api/test_main.py +++ b/tests/aspis/api/test_main.py @@ -1,7 +1,6 @@ """Test for the API main module.""" import json -import os from io import BytesIO from unittest.mock import Mock, patch @@ -86,7 +85,6 @@ def test_evaluate_from_file_success(mock_openai: Mock) -> None: model=ModelInfo.OPENAI_GPT_4O.model_id, messages=[{"role": "user", "content": expected_prompt}], ) - assert os.environ.get(ModelInfo.OPENAI_GPT_4O.api_key_name) is None @pytest.mark.integration_test @@ -190,7 +188,6 @@ def test_evaluate_from_file_with_model_success(mock_openai: Mock) -> None: } ], ) - assert os.environ.get(ModelInfo.GOOGLE_GEMINI_3_1_PRO_PREVIEW.api_key_name) is None @pytest.mark.integration_test @@ -218,7 +215,7 @@ def test_evaluate_from_file_invalid_model() -> None: ) assert response.status_code == 422 - assert "Input should be 'openai/" in response.json()["detail"][0]["msg"] + assert "Input should be 'gpt-4o'" in response.json()["detail"][0]["msg"] @pytest.mark.integration_test diff --git a/tests/aspis/manual_test_inferencer.py b/tests/aspis/manual_test_inferencer.py index c9394e5..fd0e6ad 100644 --- a/tests/aspis/manual_test_inferencer.py +++ b/tests/aspis/manual_test_inferencer.py @@ -8,7 +8,7 @@ def run_inferencer_manual_test() -> None: """Run the inferencer manual test.""" - model_info = ModelInfo.GOOGLE_GEMINI_3_1_FLASH_LITE + model_info = ModelInfo.GOOGLE_GEMINI_3_FLASH_PREVIEW api_key = os.getenv("ASPIS_API_KEY") or os.getenv("OPENAI_API_KEY") assert api_key is not None, "Set ASPIS_API_KEY or OPENAI_API_KEY before running this manual test" diff --git a/tests/aspis/test_inferencer.py b/tests/aspis/test_inferencer.py index b133e10..6d8f3ff 100644 --- a/tests/aspis/test_inferencer.py +++ b/tests/aspis/test_inferencer.py @@ -1,6 +1,5 @@ """Tests for the inferencer module.""" -import os from types import SimpleNamespace from unittest.mock import Mock, patch @@ -54,9 +53,6 @@ def test_create_openai_client_passes_api_key_and_proxy(mock_openai: Mock) -> Non create_openai_client(api_key) mock_openai.assert_called_once_with(api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL) - assert os.environ.get("OPENAI_API_KEY") is None - assert os.environ.get("GOOGLE_API_KEY") is None - assert os.environ.get("ANTHROPIC_API_KEY") is None @patch("aspis.inferencer.OpenAI") @@ -88,7 +84,6 @@ def test_execute_samples_against_model_uses_per_call_client(mock_openai: Mock) - messages=[{"role": "user", "content": "prompt two"}], ) mock_client.__exit__.assert_called_once() - assert os.environ.get(model_info.api_key_name) is None @patch("aspis.inferencer.OpenAI") diff --git a/tests/aspis/ui/test_main.py b/tests/aspis/ui/test_main.py index 7e02e6c..0d22faf 100644 --- a/tests/aspis/ui/test_main.py +++ b/tests/aspis/ui/test_main.py @@ -1,7 +1,6 @@ """Test for the main module.""" import json -import os from copy import deepcopy from dataclasses import asdict from io import BytesIO @@ -24,9 +23,6 @@ def make_openai_side_effect(api_key: str, return_value: Any) -> Callable[..., Mo def side_effect(*args: Any, **kwargs: Any) -> Mock: assert kwargs.get("api_key") == api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL - assert os.environ.get("OPENAI_API_KEY") is None - assert os.environ.get("GOOGLE_API_KEY") is None - assert os.environ.get("ANTHROPIC_API_KEY") is None mock_client = Mock() mock_client.__enter__ = Mock(return_value=mock_client) @@ -109,7 +105,6 @@ def side_effect(*args: Any, **kwargs: Any) -> Mock: } ], ) - assert os.environ.get(test_model_info.api_key_name, None) is None @pytest.mark.integration_test @@ -202,7 +197,6 @@ def test_main_render_error_when_questions_are_none(mock_openai: Mock) -> None: assert mock_openai.call_count == 1 mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) - assert os.environ.get(test_model_info.api_key_name, None) is None assert app.error[0].value == "Error generating questions. Please try again." @@ -253,7 +247,6 @@ def side_effect(*args: Any, **kwargs: Any) -> Mock: } ], ) - assert os.environ.get(test_model_info.api_key_name, None) is None for i in range(len(test_questions)): assert app.text_area(f"answer_input_{i + 1}").label == rf"{i + 1}\. {test_questions[i]}" @@ -396,8 +389,6 @@ def side_effect(*args: Any, **kwargs: Any) -> Mock: ], ) - assert os.environ.get(test_model_info.api_key_name, None) is None - @pytest.mark.integration_test @patch("aspis.inferencer.OpenAI") @@ -429,7 +420,6 @@ def test_main_render_error_when_systematized_concepts_are_none(mock_openai: Mock app.run() mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) - assert os.environ.get(test_model_info.api_key_name, None) is None assert app.error[0].value == "Error generating systematized concepts. Please try again." From cc2002846d903af828c3ecc1abf6ce0b58b80d13 Mon Sep 17 00:00:00 2001 From: Marcelo Lotif Date: Mon, 10 Aug 2026 16:32:45 -0400 Subject: [PATCH 4/7] Updated click v8.2.1 -> v8.4.2 --- uv.lock | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/uv.lock b/uv.lock index abe89a6..f16f11d 100644 --- a/uv.lock +++ b/uv.lock @@ -343,14 +343,14 @@ wheels = [ [[package]] name = "click" -version = "8.2.1" +version = "8.4.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "colorama", marker = "sys_platform == 'win32'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/60/6c/8ca2efa64cf75a977a0d7fac081354553ebe483345c734fb6b6515d96bbc/click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202", size = 286342, upload-time = "2025-05-20T23:19:49.832Z" } +sdist = { url = "https://files.pythonhosted.org/packages/76/d4/81420972a676e8ffea40450d8c8c92943e7218a78fe9b64359836cc9876b/click-8.4.2.tar.gz", hash = "sha256:9a6cea6e60b17ebe0a44c5cc636d94f09bd66142c1cd7d8b4cd731c4917a15f6", size = 338000, upload-time = "2026-06-24T17:45:15.148Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/85/32/10bb5764d90a8eee674e9dc6f4db6a0ab47c8c4d0d83c27f7c39ac415a4d/click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b", size = 102215, upload-time = "2025-05-20T23:19:47.796Z" }, + { url = "https://files.pythonhosted.org/packages/fb/e2/79c688af8b210d232694e31e59da9f6ec747bae31c3f5946e4e9b98860d5/click-8.4.2-py3-none-any.whl", hash = "sha256:e6f9f66136c816745b9d65817da91d61d957fb16e02e4dcd0552553c5a197b76", size = 119243, upload-time = "2026-06-24T17:45:13.73Z" }, ] [[package]] From 40625e3223d986aebb873f7910ebdf6f1e029898 Mon Sep 17 00:00:00 2001 From: "coderabbitai[bot]" <136622811+coderabbitai[bot]@users.noreply.github.com> Date: Mon, 10 Aug 2026 20:47:21 +0000 Subject: [PATCH 5/7] =?UTF-8?q?=F0=9F=93=9D=20Add=20docstrings=20to=20`rep?= =?UTF-8?q?lace-inspectai-with-openai-proxy`?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Docstrings generation was requested by @lotif. The following files were modified: * `src/aspis/api/main.py` * `src/aspis/inferencer.py` * `src/aspis/systematization.py` * `tests/aspis/api/test_main.py` * `tests/aspis/ui/test_main.py` These files were kept as they were: * `tests/aspis/manual_test_inferencer.py` * `tests/aspis/test_inferencer.py` * `tests/aspis/test_systematization.py` These file types are not supported: * `.github/workflows/code_checks.yml` * `.gitignore` * `CONTRIBUTING.md` * `README.md` * `plans/2026-08-10-replace-inspectai-with-openai-proxy.md` * `pyproject.toml` --- src/aspis/api/main.py | 43 +++++++++------------ src/aspis/inferencer.py | 75 +++++++++++++++++++----------------- src/aspis/systematization.py | 41 +++++++++----------- tests/aspis/api/test_main.py | 8 ++++ tests/aspis/ui/test_main.py | 20 ++++++++++ 5 files changed, 104 insertions(+), 83 deletions(-) diff --git a/src/aspis/api/main.py b/src/aspis/api/main.py index afc9a9c..b5fe0ac 100644 --- a/src/aspis/api/main.py +++ b/src/aspis/api/main.py @@ -37,32 +37,25 @@ async def evaluate( systematized_concepts_file: UploadFile = File(...), # noqa: B008 mypy's false positive on File(...) model: ModelInfo = Form(ModelInfo.OPENAI_GPT_4O), # noqa: B008 mypy's false positive on Form with default value ) -> list[EvaluationResponse]: - """Evaluate an input text using systematized concepts from a file. - - Returns one evaluation per systematized concept. - - Args: - text_to_evaluate: The text to evaluate. - api_key: The API key to use to connect to the model. - model: The model to use for this evaluation. Optional, - defaults to `gpt-4o`. Allowed values are `gpt-4o`, - `gpt-5.5`, `gpt-5.4-mini`, `gemini-3.1-pro-preview`, - `gemini-3-flash-preview`, `claude-opus-4-7`, and - `claude-sonnet-4-6`. - systematized_concepts_file: The file containing the systematized concepts. - It must be a `.yaml` file that contains a `systematized_concepts` key - with a list of systematized concepts. Each systematized concept must - contain a `title` key and a `prompt_template` key. Example: - \n - systematized_concepts: - - title: "Systematized concept 1" - prompt_template: "Prompt template 1" - - title: "Systematized concept 2" - prompt_template: "Prompt template 2" - + """ + Evaluate input text against systematized concepts defined in a YAML file. + + Parameters: + text_to_evaluate (str): The text to evaluate. + api_key (str): The API key used for model access. + systematized_concepts_file (UploadFile): A YAML file containing a + `systematized_concepts` list. Each concept must define `title` and + `prompt_template`. + model (ModelInfo): The model used for evaluation. Defaults to + `ModelInfo.OPENAI_GPT_4O`. + Returns: - A list of evaluations for the input text, one for each systematized concept - in the file. + list[EvaluationResponse]: One evaluation response for each systematized + concept in the file. + + Raises: + HTTPException: With status 422 for invalid concept file contents or 500 + for other evaluation failures. """ try: file_content = await systematized_concepts_file.read() diff --git a/src/aspis/inferencer.py b/src/aspis/inferencer.py index 4e523a1..18a1c58 100644 --- a/src/aspis/inferencer.py +++ b/src/aspis/inferencer.py @@ -32,13 +32,15 @@ class ModelInfo(str, Enum): ANTHROPIC_CLAUDE_4_6_SONNET = ("claude-sonnet-4-6", "Claude Sonnet 4.6 (Anthropic)") def __new__(cls, model_id: str, friendly_name: str) -> Self: - """Make a new ModelInfo enum object. - - The value of the enum will be the model ID. - - Args: - model_id: The ID of the model. - friendly_name: The friendly name of the model (displayed in the UI). + """ + Create a model metadata enum member with its model identifier and display name. + + Parameters: + model_id (str): The model identifier. + friendly_name (str): The name displayed to users. + + Returns: + ModelInfo: The initialized enum member. """ obj = str.__new__(cls, model_id) obj._value_ = model_id @@ -81,15 +83,19 @@ def create_openai_client(api_key: str) -> OpenAI: def execute_samples_against_model(prompts: list[str], model_info: ModelInfo, api_key: str) -> list[str]: - """Executes a list of prompts against a model and returns the model outputs. - + """ + Execute prompts against a model and collect its responses. + Args: - prompts: The list of prompt strings to execute against the model. - model_info: The information about the model to execute the prompts against. - api_key: The API key to use to execute the prompts against the model. - + prompts: The prompts to submit. + model_info: The model to use. + api_key: The API key for the model client. + Returns: - The model outputs. + The model responses in prompt order. + + Raises: + ValueError: If a model request fails, returns no choices, or produces invalid content. """ logger.info(f"Making API call to model {model_info.model_id}...") @@ -119,19 +125,16 @@ def execute_samples_against_model(prompts: list[str], model_info: ModelInfo, api def evaluate_text( input_text: str, prompt_templates: list[str], model_info: ModelInfo, api_key: str ) -> list[dict[str, Any]]: - """Evaluates input text using the model and the prompt. - - Will use `get_inference_prompt` function to replace placeholders in the prompt - with the input text. - - Args: - input_text: The input text to infer. - prompt_templates: The list of prompt templates to use to infer the input text. - model_info: The information about the model to use to infer the input text. - api_key: The API key to use to connect to the model. - + """ + Evaluate input text against prompt templates and parse each model response as JSON. + + Parameters: + input_text (str): Text substituted into each prompt template. + prompt_templates (list[str]): Templates used to generate evaluation prompts. + Returns: - The inferred output from the model, parsed from a json to a dictionary. + list[dict[str, Any]]: Parsed JSON responses, or a dictionary containing + ``raw_output`` when a response cannot be parsed as JSON. """ prompts = [get_inference_prompt(input_text, prompt_template) for prompt_template in prompt_templates] model_outputs = execute_samples_against_model(prompts, model_info, api_key) @@ -188,17 +191,17 @@ def _part_text(part: Any) -> str | None: def extract_string_output(model_output: Any) -> str: - """Extract the answer string from an OpenAI chat completion message content. - - For multi-part content (e.g. reasoning + answer), skips known reasoning part - types and returns the final remaining text part so JSON parsing is not broken - by reasoning prefixes. - - Args: - model_output: The message content from the model response. - + """ + Extract the final answer text from model response content. + + Parameters: + model_output (Any): A string or multipart response content. + Returns: - The string output. + str: The answer text, using the final text part after excluding reasoning parts. + + Raises: + ValueError: If the content is unsupported or contains no text parts. """ if isinstance(model_output, str): return model_output diff --git a/src/aspis/systematization.py b/src/aspis/systematization.py index edc8fc6..e089e17 100644 --- a/src/aspis/systematization.py +++ b/src/aspis/systematization.py @@ -86,18 +86,18 @@ def get_systematization_questions( api_key: str, model_info: ModelInfo, ) -> list[str] | None: - """Get the systematization questions. - + """ + Generate follow-up systematization questions for an AI-powered product and risk. + Args: - product_description: The description of the AI-powered product. - risk_description: The description of the AI risk the product is exposed to. - api_key: The API key to use the LLM. - model_info: The information about the model to use to generate the - systematization questions. - + product_description: Description of the AI-powered product. + risk_description: Description of the AI risk affecting the product. + api_key: API key used to access the model. + model_info: Information about the model used to generate the questions. + Returns: - The follow up systematization questions. Will be None if the model fails to - return a valid JSON. + A list of systematization questions, or `None` if the model response is + invalid JSON or is not a list of strings. """ logger.info("Querying model for systematization questions") @@ -148,20 +148,17 @@ def get_systematized_concepts( api_key: str, model_info: ModelInfo, ) -> list[SystematizedConcept] | None: - """Generate systematized concepts from the answers to follow-up questions. - + """Generate systematized concepts from answers to follow-up questions. + Args: - product_description: The description of the AI-powered product. - risk_description: The description of the AI risk the product is exposed to. - questions: The follow-up questions that were asked. - answers: The answers provided by the user. - api_key: The API key to use the LLM. - model_info: The information about the model to use to generate the - systematized concepts. - + product_description: Description of the AI-powered product. + risk_description: Description of the AI risk affecting the product. + questions: Follow-up questions associated with the answers. + answers: User-provided answers to the follow-up questions. + Returns: - A list of systematized concepts with titles, bodies, and prompt templates. - Will be None if the model fails to return a valid JSON. + A list of systematized concepts, or None if the model response cannot be + parsed or does not have the required structure. """ # Format questions and answers for the prompt logger.info("Querying model for systematized concepts") diff --git a/tests/aspis/api/test_main.py b/tests/aspis/api/test_main.py index ab6043c..43702a3 100644 --- a/tests/aspis/api/test_main.py +++ b/tests/aspis/api/test_main.py @@ -14,6 +14,14 @@ def _mock_completion(content: str) -> Mock: + """Create a mocked completion response containing the supplied content. + + Parameters: + content (str): The content returned by the mocked completion. + + Returns: + Mock: A mock completion response with the content in its message. + """ return Mock(choices=[Mock(message=Mock(content=content))]) diff --git a/tests/aspis/ui/test_main.py b/tests/aspis/ui/test_main.py index 0d22faf..b11549d 100644 --- a/tests/aspis/ui/test_main.py +++ b/tests/aspis/ui/test_main.py @@ -20,6 +20,16 @@ def make_openai_side_effect(api_key: str, return_value: Any) -> Callable[..., Mock]: + """ + Create a mocked OpenAI client factory for tests. + + Parameters: + api_key (str): API key the mocked client must receive. + return_value (Any): Value encoded as the mock completion response. + + Returns: + Callable[..., Mock]: A side-effect function that returns a configured mock client. + """ def side_effect(*args: Any, **kwargs: Any) -> Mock: assert kwargs.get("api_key") == api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL @@ -335,6 +345,16 @@ def test_main_render_results_when_answers_are_set(mock_openai: Mock) -> None: created_clients: list[Mock] = [] def side_effect(*args: Any, **kwargs: Any) -> Mock: + """ + Creates a mock OpenAI client configured with the expected credentials and a serialized concept response. + + Parameters: + *args (Any): Positional arguments accepted by the mocked client factory. + **kwargs (Any): Keyword arguments containing the API key and proxy URL. + + Returns: + Mock: A context-manager-compatible mock client with a configured chat completion response. + """ assert kwargs.get("api_key") == test_api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL mock_client = Mock() From e16b5bde34955e344d3a964cf479013f10d4849e Mon Sep 17 00:00:00 2001 From: Marcelo Lotif Date: Mon, 10 Aug 2026 16:48:52 -0400 Subject: [PATCH 6/7] =?UTF-8?q?Revert=20"=F0=9F=93=9D=20Add=20docstrings?= =?UTF-8?q?=20to=20`replace-inspectai-with-openai-proxy`"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This reverts commit 40625e3223d986aebb873f7910ebdf6f1e029898. --- src/aspis/api/main.py | 43 ++++++++++++--------- src/aspis/inferencer.py | 75 +++++++++++++++++------------------- src/aspis/systematization.py | 41 +++++++++++--------- tests/aspis/api/test_main.py | 8 ---- tests/aspis/ui/test_main.py | 20 ---------- 5 files changed, 83 insertions(+), 104 deletions(-) diff --git a/src/aspis/api/main.py b/src/aspis/api/main.py index b5fe0ac..afc9a9c 100644 --- a/src/aspis/api/main.py +++ b/src/aspis/api/main.py @@ -37,25 +37,32 @@ async def evaluate( systematized_concepts_file: UploadFile = File(...), # noqa: B008 mypy's false positive on File(...) model: ModelInfo = Form(ModelInfo.OPENAI_GPT_4O), # noqa: B008 mypy's false positive on Form with default value ) -> list[EvaluationResponse]: - """ - Evaluate input text against systematized concepts defined in a YAML file. - - Parameters: - text_to_evaluate (str): The text to evaluate. - api_key (str): The API key used for model access. - systematized_concepts_file (UploadFile): A YAML file containing a - `systematized_concepts` list. Each concept must define `title` and - `prompt_template`. - model (ModelInfo): The model used for evaluation. Defaults to - `ModelInfo.OPENAI_GPT_4O`. - + """Evaluate an input text using systematized concepts from a file. + + Returns one evaluation per systematized concept. + + Args: + text_to_evaluate: The text to evaluate. + api_key: The API key to use to connect to the model. + model: The model to use for this evaluation. Optional, + defaults to `gpt-4o`. Allowed values are `gpt-4o`, + `gpt-5.5`, `gpt-5.4-mini`, `gemini-3.1-pro-preview`, + `gemini-3-flash-preview`, `claude-opus-4-7`, and + `claude-sonnet-4-6`. + systematized_concepts_file: The file containing the systematized concepts. + It must be a `.yaml` file that contains a `systematized_concepts` key + with a list of systematized concepts. Each systematized concept must + contain a `title` key and a `prompt_template` key. Example: + \n + systematized_concepts: + - title: "Systematized concept 1" + prompt_template: "Prompt template 1" + - title: "Systematized concept 2" + prompt_template: "Prompt template 2" + Returns: - list[EvaluationResponse]: One evaluation response for each systematized - concept in the file. - - Raises: - HTTPException: With status 422 for invalid concept file contents or 500 - for other evaluation failures. + A list of evaluations for the input text, one for each systematized concept + in the file. """ try: file_content = await systematized_concepts_file.read() diff --git a/src/aspis/inferencer.py b/src/aspis/inferencer.py index 18a1c58..4e523a1 100644 --- a/src/aspis/inferencer.py +++ b/src/aspis/inferencer.py @@ -32,15 +32,13 @@ class ModelInfo(str, Enum): ANTHROPIC_CLAUDE_4_6_SONNET = ("claude-sonnet-4-6", "Claude Sonnet 4.6 (Anthropic)") def __new__(cls, model_id: str, friendly_name: str) -> Self: - """ - Create a model metadata enum member with its model identifier and display name. - - Parameters: - model_id (str): The model identifier. - friendly_name (str): The name displayed to users. - - Returns: - ModelInfo: The initialized enum member. + """Make a new ModelInfo enum object. + + The value of the enum will be the model ID. + + Args: + model_id: The ID of the model. + friendly_name: The friendly name of the model (displayed in the UI). """ obj = str.__new__(cls, model_id) obj._value_ = model_id @@ -83,19 +81,15 @@ def create_openai_client(api_key: str) -> OpenAI: def execute_samples_against_model(prompts: list[str], model_info: ModelInfo, api_key: str) -> list[str]: - """ - Execute prompts against a model and collect its responses. - + """Executes a list of prompts against a model and returns the model outputs. + Args: - prompts: The prompts to submit. - model_info: The model to use. - api_key: The API key for the model client. - + prompts: The list of prompt strings to execute against the model. + model_info: The information about the model to execute the prompts against. + api_key: The API key to use to execute the prompts against the model. + Returns: - The model responses in prompt order. - - Raises: - ValueError: If a model request fails, returns no choices, or produces invalid content. + The model outputs. """ logger.info(f"Making API call to model {model_info.model_id}...") @@ -125,16 +119,19 @@ def execute_samples_against_model(prompts: list[str], model_info: ModelInfo, api def evaluate_text( input_text: str, prompt_templates: list[str], model_info: ModelInfo, api_key: str ) -> list[dict[str, Any]]: - """ - Evaluate input text against prompt templates and parse each model response as JSON. - - Parameters: - input_text (str): Text substituted into each prompt template. - prompt_templates (list[str]): Templates used to generate evaluation prompts. - + """Evaluates input text using the model and the prompt. + + Will use `get_inference_prompt` function to replace placeholders in the prompt + with the input text. + + Args: + input_text: The input text to infer. + prompt_templates: The list of prompt templates to use to infer the input text. + model_info: The information about the model to use to infer the input text. + api_key: The API key to use to connect to the model. + Returns: - list[dict[str, Any]]: Parsed JSON responses, or a dictionary containing - ``raw_output`` when a response cannot be parsed as JSON. + The inferred output from the model, parsed from a json to a dictionary. """ prompts = [get_inference_prompt(input_text, prompt_template) for prompt_template in prompt_templates] model_outputs = execute_samples_against_model(prompts, model_info, api_key) @@ -191,17 +188,17 @@ def _part_text(part: Any) -> str | None: def extract_string_output(model_output: Any) -> str: - """ - Extract the final answer text from model response content. - - Parameters: - model_output (Any): A string or multipart response content. - + """Extract the answer string from an OpenAI chat completion message content. + + For multi-part content (e.g. reasoning + answer), skips known reasoning part + types and returns the final remaining text part so JSON parsing is not broken + by reasoning prefixes. + + Args: + model_output: The message content from the model response. + Returns: - str: The answer text, using the final text part after excluding reasoning parts. - - Raises: - ValueError: If the content is unsupported or contains no text parts. + The string output. """ if isinstance(model_output, str): return model_output diff --git a/src/aspis/systematization.py b/src/aspis/systematization.py index e089e17..edc8fc6 100644 --- a/src/aspis/systematization.py +++ b/src/aspis/systematization.py @@ -86,18 +86,18 @@ def get_systematization_questions( api_key: str, model_info: ModelInfo, ) -> list[str] | None: - """ - Generate follow-up systematization questions for an AI-powered product and risk. - + """Get the systematization questions. + Args: - product_description: Description of the AI-powered product. - risk_description: Description of the AI risk affecting the product. - api_key: API key used to access the model. - model_info: Information about the model used to generate the questions. - + product_description: The description of the AI-powered product. + risk_description: The description of the AI risk the product is exposed to. + api_key: The API key to use the LLM. + model_info: The information about the model to use to generate the + systematization questions. + Returns: - A list of systematization questions, or `None` if the model response is - invalid JSON or is not a list of strings. + The follow up systematization questions. Will be None if the model fails to + return a valid JSON. """ logger.info("Querying model for systematization questions") @@ -148,17 +148,20 @@ def get_systematized_concepts( api_key: str, model_info: ModelInfo, ) -> list[SystematizedConcept] | None: - """Generate systematized concepts from answers to follow-up questions. - + """Generate systematized concepts from the answers to follow-up questions. + Args: - product_description: Description of the AI-powered product. - risk_description: Description of the AI risk affecting the product. - questions: Follow-up questions associated with the answers. - answers: User-provided answers to the follow-up questions. - + product_description: The description of the AI-powered product. + risk_description: The description of the AI risk the product is exposed to. + questions: The follow-up questions that were asked. + answers: The answers provided by the user. + api_key: The API key to use the LLM. + model_info: The information about the model to use to generate the + systematized concepts. + Returns: - A list of systematized concepts, or None if the model response cannot be - parsed or does not have the required structure. + A list of systematized concepts with titles, bodies, and prompt templates. + Will be None if the model fails to return a valid JSON. """ # Format questions and answers for the prompt logger.info("Querying model for systematized concepts") diff --git a/tests/aspis/api/test_main.py b/tests/aspis/api/test_main.py index 43702a3..ab6043c 100644 --- a/tests/aspis/api/test_main.py +++ b/tests/aspis/api/test_main.py @@ -14,14 +14,6 @@ def _mock_completion(content: str) -> Mock: - """Create a mocked completion response containing the supplied content. - - Parameters: - content (str): The content returned by the mocked completion. - - Returns: - Mock: A mock completion response with the content in its message. - """ return Mock(choices=[Mock(message=Mock(content=content))]) diff --git a/tests/aspis/ui/test_main.py b/tests/aspis/ui/test_main.py index b11549d..0d22faf 100644 --- a/tests/aspis/ui/test_main.py +++ b/tests/aspis/ui/test_main.py @@ -20,16 +20,6 @@ def make_openai_side_effect(api_key: str, return_value: Any) -> Callable[..., Mock]: - """ - Create a mocked OpenAI client factory for tests. - - Parameters: - api_key (str): API key the mocked client must receive. - return_value (Any): Value encoded as the mock completion response. - - Returns: - Callable[..., Mock]: A side-effect function that returns a configured mock client. - """ def side_effect(*args: Any, **kwargs: Any) -> Mock: assert kwargs.get("api_key") == api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL @@ -345,16 +335,6 @@ def test_main_render_results_when_answers_are_set(mock_openai: Mock) -> None: created_clients: list[Mock] = [] def side_effect(*args: Any, **kwargs: Any) -> Mock: - """ - Creates a mock OpenAI client configured with the expected credentials and a serialized concept response. - - Parameters: - *args (Any): Positional arguments accepted by the mocked client factory. - **kwargs (Any): Keyword arguments containing the API key and proxy URL. - - Returns: - Mock: A context-manager-compatible mock client with a configured chat completion response. - """ assert kwargs.get("api_key") == test_api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL mock_client = Mock() From 69b8f4b2bb521439bb72e69405b8a8f77c75254a Mon Sep 17 00:00:00 2001 From: Marcelo Lotif Date: Mon, 10 Aug 2026 17:12:15 -0400 Subject: [PATCH 7/7] Address code review feedback on the OpenAI proxy migration. Keep the FastAPI event loop responsive by offloading the blocking model call to a thread, bound proxy requests with an explicit client timeout, and tighten the UI tests so they assert the real client contract. Co-authored-by: Cursor --- ...-10-replace-inspectai-with-openai-proxy.md | 2 +- src/aspis/api/main.py | 4 +- src/aspis/inferencer.py | 7 ++- tests/aspis/api/test_main.py | 10 ++-- tests/aspis/test_inferencer.py | 13 ++++-- tests/aspis/ui/test_main.py | 46 +++++++++++++++---- 6 files changed, 65 insertions(+), 17 deletions(-) diff --git a/plans/2026-08-10-replace-inspectai-with-openai-proxy.md b/plans/2026-08-10-replace-inspectai-with-openai-proxy.md index fe73230..1245735 100644 --- a/plans/2026-08-10-replace-inspectai-with-openai-proxy.md +++ b/plans/2026-08-10-replace-inspectai-with-openai-proxy.md @@ -28,7 +28,7 @@ Replace InspectAI-based LLM calls with the official OpenAI SDK, routed through ` - `OpenAI(api_key=, base_url="https://proxy.vectorinstitute.ai/v1")` - Never set `os.environ` for keys. - Replace InspectAI `Task` / `eval` / `generate` / `model_graded_qa` with `client.chat.completions.create(...)`. -- Replace InspectAI `Sample` with a small local type (e.g. dataclass with `input`). +- Replace InspectAI `Sample` inputs with prompt strings. - Keep `ModelInfo` and multi-provider model IDs; send those model IDs to the proxy. - Adapt `extract_string_output` to OpenAI response content shapes as needed. - Drop `ThreadPoolExecutor` if direct sync OpenAI calls are safe with Streamlit. diff --git a/src/aspis/api/main.py b/src/aspis/api/main.py index afc9a9c..8e1e206 100644 --- a/src/aspis/api/main.py +++ b/src/aspis/api/main.py @@ -1,5 +1,6 @@ """Functions for the programmatic API of the Aspis application.""" +import asyncio import datetime from typing import Any @@ -86,7 +87,8 @@ async def evaluate( logger.info("%s: Evaluating input text against all concepts...", datetime.datetime.now()) - results = evaluate_text(text_to_evaluate, prompt_templates, model, api_key) + # Offload the synchronous OpenAI SDK call so the event loop stays responsive. + results = await asyncio.to_thread(evaluate_text, text_to_evaluate, prompt_templates, model, api_key) evaluation_responses = [] for i in range(len(systematized_concepts)): diff --git a/src/aspis/inferencer.py b/src/aspis/inferencer.py index 4e523a1..4d2b4bd 100644 --- a/src/aspis/inferencer.py +++ b/src/aspis/inferencer.py @@ -12,6 +12,7 @@ DEFAULT_PROXY_BASE_URL = "https://proxy.vectorinstitute.ai/v1" +DEFAULT_OPENAI_TIMEOUT_SECONDS = 120.0 # Content part types that are reasoning / thinking (not the final answer). _REASONING_PART_TYPES = frozenset({"reasoning", "thinking", "reasoning_content"}) @@ -77,7 +78,11 @@ def create_openai_client(api_key: str) -> OpenAI: Returns: A new ``OpenAI`` client pointed at the Vector proxy. """ - return OpenAI(api_key=api_key, base_url=get_proxy_base_url()) + return OpenAI( + api_key=api_key, + base_url=get_proxy_base_url(), + timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS, + ) def execute_samples_against_model(prompts: list[str], model_info: ModelInfo, api_key: str) -> list[str]: diff --git a/tests/aspis/api/test_main.py b/tests/aspis/api/test_main.py index ab6043c..0863ffe 100644 --- a/tests/aspis/api/test_main.py +++ b/tests/aspis/api/test_main.py @@ -9,7 +9,7 @@ from fastapi.testclient import TestClient from aspis.api.main import app -from aspis.inferencer import DEFAULT_PROXY_BASE_URL, ModelInfo +from aspis.inferencer import DEFAULT_OPENAI_TIMEOUT_SECONDS, DEFAULT_PROXY_BASE_URL, ModelInfo from aspis.utils import clean_model_output @@ -78,7 +78,9 @@ def test_evaluate_from_file_success(mock_openai: Mock) -> None: assert json_response[i]["result"] == expected_result assert json_response[i]["prompt"] == expected_prompts[i] - mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) assert mock_client.chat.completions.create.call_count == len(test_systematized_concepts) for expected_prompt in expected_prompts: mock_client.chat.completions.create.assert_any_call( @@ -178,7 +180,9 @@ def test_evaluate_from_file_with_model_success(mock_openai: Mock) -> None: ) assert response.status_code == 200 - mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) mock_client.chat.completions.create.assert_called_once_with( model=test_model_id, messages=[ diff --git a/tests/aspis/test_inferencer.py b/tests/aspis/test_inferencer.py index 6d8f3ff..8457cef 100644 --- a/tests/aspis/test_inferencer.py +++ b/tests/aspis/test_inferencer.py @@ -6,6 +6,7 @@ import pytest from aspis.inferencer import ( + DEFAULT_OPENAI_TIMEOUT_SECONDS, DEFAULT_PROXY_BASE_URL, ModelInfo, create_openai_client, @@ -52,7 +53,9 @@ def test_create_openai_client_passes_api_key_and_proxy(mock_openai: Mock) -> Non api_key = "test-api-key" create_openai_client(api_key) - mock_openai.assert_called_once_with(api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) @patch("aspis.inferencer.OpenAI") @@ -73,7 +76,9 @@ def test_execute_samples_against_model_uses_per_call_client(mock_openai: Mock) - outputs = execute_samples_against_model(prompts, model_info, api_key) assert outputs == ["output one", "output two"] - mock_openai.assert_called_once_with(api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) assert mock_client.chat.completions.create.call_count == 2 mock_client.chat.completions.create.assert_any_call( model=model_info.model_id, @@ -98,7 +103,9 @@ def test_execute_samples_against_model_raises_on_api_error(mock_openai: Mock) -> execute_samples_against_model(["prompt"], ModelInfo.OPENAI_GPT_4O, "key") assert isinstance(exc_info.value.__cause__, RuntimeError) - mock_openai.assert_called_once_with(api_key="key", base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key="key", base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) mock_client.__exit__.assert_called_once() diff --git a/tests/aspis/ui/test_main.py b/tests/aspis/ui/test_main.py index 0d22faf..650eefb 100644 --- a/tests/aspis/ui/test_main.py +++ b/tests/aspis/ui/test_main.py @@ -11,7 +11,7 @@ import yaml from streamlit.testing.v1 import AppTest -from aspis.inferencer import DEFAULT_PROXY_BASE_URL, ModelInfo +from aspis.inferencer import DEFAULT_OPENAI_TIMEOUT_SECONDS, DEFAULT_PROXY_BASE_URL, ModelInfo from aspis.systematization import ( SystematizedConcept, get_systematization_questions_prompt, @@ -23,6 +23,7 @@ def make_openai_side_effect(api_key: str, return_value: Any) -> Callable[..., Mo def side_effect(*args: Any, **kwargs: Any) -> Mock: assert kwargs.get("api_key") == api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + assert kwargs.get("timeout") == DEFAULT_OPENAI_TIMEOUT_SECONDS mock_client = Mock() mock_client.__enter__ = Mock(return_value=mock_client) @@ -73,6 +74,7 @@ def test_main_ask_for_questions_when_inputs_are_set(mock_openai: Mock) -> None: def side_effect(*args: Any, **kwargs: Any) -> Mock: assert kwargs.get("api_key") == test_api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + assert kwargs.get("timeout") == DEFAULT_OPENAI_TIMEOUT_SECONDS mock_client = Mock() mock_client.__enter__ = Mock(return_value=mock_client) mock_client.__exit__ = Mock(return_value=False) @@ -94,7 +96,9 @@ def side_effect(*args: Any, **kwargs: Any) -> Mock: app.run() assert mock_openai.call_count == 1 - mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) assert len(created_clients) == 1 created_clients[0].chat.completions.create.assert_called_once_with( model=test_model_info.model_id, @@ -172,7 +176,11 @@ def test_main_render_error_messages_when_inputs_are_not_set(mock_openai: Mock) - assert app.session_state.model_info == test_model_info assert app.session_state.risk_description == test_risk_description assert app.session_state.product_description == test_product_description - mock_openai.assert_called() + mock_openai.assert_called_once_with( + api_key=test_api_key, + base_url=DEFAULT_PROXY_BASE_URL, + timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS, + ) @pytest.mark.integration_test @@ -196,7 +204,9 @@ def test_main_render_error_when_questions_are_none(mock_openai: Mock) -> None: app.run() assert mock_openai.call_count == 1 - mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) assert app.error[0].value == "Error generating questions. Please try again." @@ -214,6 +224,7 @@ def test_main_render_questions_on_success(mock_openai: Mock) -> None: def side_effect(*args: Any, **kwargs: Any) -> Mock: assert kwargs.get("api_key") == test_api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + assert kwargs.get("timeout") == DEFAULT_OPENAI_TIMEOUT_SECONDS mock_client = Mock() mock_client.__enter__ = Mock(return_value=mock_client) mock_client.__exit__ = Mock(return_value=False) @@ -236,7 +247,9 @@ def side_effect(*args: Any, **kwargs: Any) -> Mock: app.button("generate_questions_button").click() app.run() - mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) assert len(created_clients) == 1 created_clients[0].chat.completions.create.assert_called_once_with( model=test_model_info.model_id, @@ -287,6 +300,18 @@ def test_main_saves_answers_on_success(mock_openai: Mock) -> None: test_product_description = "test product description" test_questions = ["test question 1", "test question 2"] test_answers = ["test answer to question 1", "test answer to question 2"] + test_systematized_concepts = [ + { + "title": "test concept 1", + "body": "test body 1", + "prompt_template": "test prompt template 1", + }, + { + "title": "test concept 2", + "body": "test body 2", + "prompt_template": "test prompt template 2", + }, + ] app = AppTest.from_file("src/aspis/ui/main.py") @@ -301,7 +326,7 @@ def test_main_saves_answers_on_success(mock_openai: Mock) -> None: app.text_area("answer_input_1").set_value(test_answers[0]) app.text_area("answer_input_2").set_value(test_answers[1]) - mock_openai.side_effect = make_openai_side_effect(test_api_key, test_answers) + mock_openai.side_effect = make_openai_side_effect(test_api_key, test_systematized_concepts) app.button("submit_answers_button").click() app.run() @@ -337,6 +362,7 @@ def test_main_render_results_when_answers_are_set(mock_openai: Mock) -> None: def side_effect(*args: Any, **kwargs: Any) -> Mock: assert kwargs.get("api_key") == test_api_key assert kwargs.get("base_url") == DEFAULT_PROXY_BASE_URL + assert kwargs.get("timeout") == DEFAULT_OPENAI_TIMEOUT_SECONDS mock_client = Mock() mock_client.__enter__ = Mock(return_value=mock_client) mock_client.__exit__ = Mock(return_value=False) @@ -372,7 +398,9 @@ def side_effect(*args: Any, **kwargs: Any) -> Mock: assert app.code[1].value == test_systematized_concepts[1]["prompt_template"] assert mock_openai.call_count == 1 - mock_openai.assert_called_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_with( + api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) assert len(created_clients) == 1 created_clients[0].chat.completions.create.assert_called_once_with( model=test_model_info.model_id, @@ -419,7 +447,9 @@ def test_main_render_error_when_systematized_concepts_are_none(mock_openai: Mock app.button("submit_answers_button").click() app.run() - mock_openai.assert_called_once_with(api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL) + mock_openai.assert_called_once_with( + api_key=test_api_key, base_url=DEFAULT_PROXY_BASE_URL, timeout=DEFAULT_OPENAI_TIMEOUT_SECONDS + ) assert app.error[0].value == "Error generating systematized concepts. Please try again."