diff --git a/.github/workflows/deploy-docs.yaml b/.github/workflows/deploy-docs.yaml index 5251ed6..108f48e 100644 --- a/.github/workflows/deploy-docs.yaml +++ b/.github/workflows/deploy-docs.yaml @@ -34,7 +34,7 @@ jobs: - name: Build website run: cd docs && npm run build - name: Upload artifact - uses: actions/upload-pages-artifact@v4 + uses: actions/upload-pages-artifact@v5 with: path: docs/build diff --git a/.github/workflows/shared-build-and-test.yaml b/.github/workflows/shared-build-and-test.yaml index 1980320..1170a06 100644 --- a/.github/workflows/shared-build-and-test.yaml +++ b/.github/workflows/shared-build-and-test.yaml @@ -56,7 +56,7 @@ jobs: python-version: ${{ inputs.python-version }} - name: ๐Ÿš€ Install uv with caching - uses: astral-sh/setup-uv@v7 + uses: astral-sh/setup-uv@v8.1.0 with: enable-cache: true @@ -111,7 +111,7 @@ jobs: python-version: ${{ inputs.python-version }} - name: ๐Ÿš€ Install uv with caching - uses: astral-sh/setup-uv@v7 + uses: astral-sh/setup-uv@v8.1.0 with: enable-cache: true diff --git a/.github/workflows/shared-publish-package.yaml b/.github/workflows/shared-publish-package.yaml index 2cec27f..dc80cae 100644 --- a/.github/workflows/shared-publish-package.yaml +++ b/.github/workflows/shared-publish-package.yaml @@ -34,7 +34,7 @@ jobs: python-version: ${{ inputs.python-version }} - name: ๐Ÿš€ Install uv - uses: astral-sh/setup-uv@v7 + uses: astral-sh/setup-uv@v8.1.0 - name: โคต๏ธ Download dist artifacts uses: actions/download-artifact@v8 diff --git a/README.md b/README.md index 9a9b4b6..b9b7ca8 100644 --- a/README.md +++ b/README.md @@ -15,9 +15,9 @@

- ๐Ÿƒ Quick-Start - โ“ Why PromptDrifter? - ๐ŸŽฌ Demo - ๐Ÿ“š Docs + Quick-Start - Why PromptDrifter? - Demo - Docs
- ๐Ÿ› Bug Report - โœจ Feature Request + Bug Report - Feature Request

### PromptDrifter is a one-command CI guardrail, open source platform for catching prompt drift and fails if your LLM answers change. @@ -25,7 +25,7 @@ > [!IMPORTANT] > **Development Notice**: This project is under active development. Breaking changes may occur between versions. Please check the changelog and release notes before updating. -## ๐Ÿƒ Quick-Start +## Quick-Start ### Basic Installation ```bash @@ -58,13 +58,13 @@ This will create a `promptdrifter.yaml` file in your current directory. promptdrifter run promptdrifter.yaml ``` -#### ๐Ÿƒ๐Ÿ’จ Sample Run +#### Sample Run

PromptDrifter Demo

-## โ“ Why PromptDrifter? +## Why PromptDrifter? The landscape of Large Language Models (LLMs) is one of rapid evolution. While exciting, this constant change introduces a critical challenge for applications relying on them: **prompt drift**. @@ -74,22 +74,22 @@ Over time, updates to LLM versions, or even subtle shifts in their training data ### Undetected prompt drift can lead to:
-๐Ÿšจ Unexpected Failures +Unexpected Failures Applications or CI/CD pipelines may break silently or with cryptic errors when LLM outputs deviate from expected formats or content.
-๐Ÿ“‰ Degraded User Experience +Degraded User Experience Features relying on consistent LLM responses can malfunction, leading to user frustration.
-โฑ๏ธ Increased Maintenance +Increased Maintenance Engineers spend valuable time diagnosing issues, tracing them back to changed LLM behavior rather addressing features and bugs in code.
-๐Ÿšง Blocked Deployments +Blocked Deployments Uncertainty about LLM stability can slow down development cycles and deployment frequency.
@@ -97,39 +97,39 @@ Uncertainty about LLM stability can slow down development cycles and deployment ### PromptDrifter tackles these challenges head-on by providing:
-๐Ÿ›ก๏ธ Automated Guardrails +Automated Guardrails A simple, command-line driven tool to integrate LLM response validation directly into your development and CI/CD workflows.
-๐Ÿ” Early Drift Detection +Early Drift Detection By comparing LLM outputs against version-controlled expected responses or predefined patterns (like regex), **PromptDrifter** catches deviations as soon as they occur.
-โš™๏ธ Consistent and Reliable Applications +Consistent and Reliable Applications Ensures that your LLM-powered features behave predictably by failing builds when significant response changes are detected, *before* they impact users or production systems.
-๐Ÿ”Œ Model Agnostic Design +Model Agnostic Design Through a flexible adapter system, PromptDrifter can interact with various LLM providers and models (e.g., OpenAI, Ollama, and more to come).
-๐Ÿ“ Declarative Test Suites +Declarative Test Suites Define your prompt tests in easy-to-understand YAML files, making them simple to create, manage, and version alongside your codebase.
-๐Ÿ˜Œ Developer Peace of Mind +Developer Peace of Mind Build with greater confidence, knowing you have a safety net that monitors the stability of your critical prompt interactions.
> [!NOTE] > By making prompt-response testing a straightforward and automated part of your workflow, **PromptDrifter** helps you harness the power of LLMs while mitigating the risks associated with their dynamic nature. -## ๐ŸŽฌ Demo +## Demo ### Running with cache @@ -149,13 +149,14 @@ Build with greater confidence, knowing you have a safety net that monitors the s PromptDrifter Demo

-## ๐Ÿค– Supported LLM Adapters +## Supported LLM Adapters PromptDrifter is designed to be extensible to various Large Language Models through its adapter system. Here's a current list of supported and planned adapters: | Provider / Model Family | Adapter Status | Details / Model Examples | Linked Issue | | :---------------------- | :------------- | :----------------------------------------------------------------------- | :----------- | | **GPT (OpenAI)** | โœ… Available | `gpt-3.5-turbo`, `gpt-4`, `gpt-4o`, etc. | N/A | +| **Azure OpenAI** | โœ… Available | `gpt-3.5-turbo`, `gpt-4`, `gpt-4o`, etc. | N/A | | **Ollama** | โœ… Available | `llama3`, `mistral`, `gemma`, etc. | N/A | | **Claude (Anthropic)** | โœ… Available | `claude-3-7-sonnet`, `claude-3-5-sonnet`, `claude-3-opus` | N/A | | **Gemini (Google)** | โœ… Available | `gemini-2.5-pro`, `gemini-2.5-flash`, `gemini-2.0-flash-thinking` | N/A | @@ -163,13 +164,12 @@ PromptDrifter is designed to be extensible to various Large Language Models thro | **Grok (xAI)** | โœ… Available | `grok-3`, `grok-2`, etc. | N/A | | **DeepSeek** | โœ… Available | `deepseek-r1`, `deepseek-v3-0324`, etc. | N/A | | **Mistral** | โœ… Available | `mistral-small-24b-instruct-2501`, `mistral-small-3.1-24b-instruct-2503` | N/A | -| **Azure OpenAI** | ๐Ÿ“‹ To Do | `gpt-3.5-turbo`, `gpt-4`, `gpt-4o`, etc. | [#10](https://github.com/Code-and-Sorts/PromptDrifter/issues/10) | | **Llama (Meta)** | ๐Ÿ“‹ To Do | `llama-4-maverick`, `llama-4-scout`, etc. | [#11](https://github.com/Code-and-Sorts/PromptDrifter/issues/11) | If there's a model or provider you'd like to see supported, please [open a feature request](https://github.com/Code-and-Sorts/PromptDrifter/issues/new?assignees=&template=feature_request.md) or consider contributing an adapter! -## ๐Ÿงช Supported Drift Tests +## Supported Drift Tests | Name | Config key | Description | Installation | | :--- | :--------- | :---------- | :----------- | @@ -179,13 +179,13 @@ If there's a model or provider you'd like to see supported, please [open a featu | **Substring Case Insensitive** | `expect_substring_case_insensitive` | Case insensitive substring match | โœ… Core | | **Text Similarity** | `text_similarity` | Semantic similarity using sentence transformers | `pip install 'promptdrifter[similarity]'` | -## โš™๏ธ GitHub Action +## GitHub Action Automate your prompt drift detection by integrating PromptDrifter directly into your GitHub workflows! We provide a reusable GitHub Action that makes it easy to run your PromptDrifter tests on every push or pull request. -โžก๏ธ **Find the PromptDrifter GitHub Action here: [PromptDrifter on GitHub Marketplace](https://github.com/marketplace/actions/promptdrifter)** +**Find the PromptDrifter GitHub Action here: [PromptDrifter on GitHub Marketplace](https://github.com/marketplace/actions/promptdrifter)** ### Basic Usage @@ -224,7 +224,7 @@ This action allows you to: By using the action, you can ensure that any changes to your LLM's responses that violate your defined tests will automatically flag your CI builds, preventing unexpected issues from reaching production. -## ๐Ÿ“š Docs +## Docs Our documentation is built with Docusaurus and deployed to GitHub Pages. @@ -238,14 +238,14 @@ The documentation includes: If you want to contribute to the documentation, see the [docs/README.md](./docs/README.md) file for instructions. -## ๐Ÿง‘โ€๐Ÿ’ป Contributing +## Contributing Follow the [contributing guide](./.github/CONTRIBUTING.md). -## ๐Ÿ”– Code of Conduct +## Code of Conduct Please make sure you read the [Code of Conduct guide](./.github/CODE-OF-CONDUCT.md). -## ๐Ÿ“ Changelog +## Changelog - [0.0.x](./changelogs/0.0.x.md) diff --git a/docs/package-lock.json b/docs/package-lock.json index f53bd02..b280c10 100644 --- a/docs/package-lock.json +++ b/docs/package-lock.json @@ -14359,24 +14359,24 @@ } }, "node_modules/react": { - "version": "19.2.4", - "resolved": "https://registry.npmjs.org/react/-/react-19.2.4.tgz", - "integrity": "sha512-9nfp2hYpCwOjAN+8TZFGhtWEwgvWHXqESH8qT89AT/lWklpLON22Lc8pEtnpsZz7VmawabSU0gCjnj8aC0euHQ==", + "version": "19.2.6", + "resolved": "https://registry.npmjs.org/react/-/react-19.2.6.tgz", + "integrity": "sha512-sfWGGfavi0xr8Pg0sVsyHMAOziVYKgPLNrS7ig+ivMNb3wbCBw3KxtflsGBAwD3gYQlE/AEZsTLgToRrSCjb0Q==", "license": "MIT", "engines": { "node": ">=0.10.0" } }, "node_modules/react-dom": { - "version": "19.2.4", - "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.4.tgz", - "integrity": "sha512-AXJdLo8kgMbimY95O2aKQqsz2iWi9jMgKJhRBAxECE4IFxfcazB2LmzloIoibJI3C12IlY20+KFaLv+71bUJeQ==", + "version": "19.2.6", + "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.6.tgz", + "integrity": "sha512-0prMI+hvBbPjsWnxDLxlCGyM8PN6UuWjEUCYmZhO67xIV9Xasa/r/vDnq+Xyq4Lo27g8QSbO5YzARu0D1Sps3g==", "license": "MIT", "dependencies": { "scheduler": "^0.27.0" }, "peerDependencies": { - "react": "^19.2.4" + "react": "^19.2.6" } }, "node_modules/react-fast-compare": { @@ -16148,9 +16148,9 @@ } }, "node_modules/typescript": { - "version": "6.0.2", - "resolved": "https://registry.npmjs.org/typescript/-/typescript-6.0.2.tgz", - "integrity": "sha512-bGdAIrZ0wiGDo5l8c++HWtbaNCWTS4UTv7RaTH/ThVIgjkveJt83m74bBHMJkuCbslY8ixgLBVZJIOiQlQTjfQ==", + "version": "6.0.3", + "resolved": "https://registry.npmjs.org/typescript/-/typescript-6.0.3.tgz", + "integrity": "sha512-y2TvuxSZPDyQakkFRPZHKFm+KKVqIisdg9/CZwm9ftvKXLP8NRWj38/ODjNbr43SsoXqNuAisEf1GdCxqWcdBw==", "devOptional": true, "license": "Apache-2.0", "bin": { diff --git a/pyproject.toml b/pyproject.toml index a72baef..4a28dc1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,11 +10,11 @@ readme = "scripts/pypi-readme.md" requires-python = ">=3.11" dependencies = [ "typer (>=0.26.4,<0.27.0)", - "rich (>=14.0.0,<15.0.0)", - "openai (>=2.31.0,<2.32.0)", + "rich (>=15.0.0,<15.1.0)", + "openai (>=2.38.0,<2.39.0)", "httpx (>=0.28.1,<0.29.0)", "pyyaml (>=6.0.2,<7.0.0)", - "importlib-resources (>=6.5.2,<7.0.0)", + "importlib-resources (>=7.1.0,<7.2.0)", "coverage (>=7.8.0,<8.0.0)", "jsonschema (>=4.23.0,<5.0.0)", "rapidfuzz (>=3.0.0,<4.0.0)", @@ -54,9 +54,9 @@ dev = [ "pytest-cov>=6.1.1", "pytest-mock>=3.14.0", "pytest (>=9.0.2,<9.1.0)", - "pytest-asyncio (>=1.3.0,<1.4.0)", + "pytest-asyncio (>=1.4.0,<1.5.0)", "ruff>=0.11.8", - "respx (>=0.22.0,<0.23.0)", + "respx (>=0.23.1,<0.24.0)", ] similarity = [ "sentence-transformers>=2.9.0", diff --git a/src/promptdrifter/adapter_manager.py b/src/promptdrifter/adapter_manager.py index ccaba11..e9880e3 100644 --- a/src/promptdrifter/adapter_manager.py +++ b/src/promptdrifter/adapter_manager.py @@ -9,6 +9,7 @@ from dataclasses import dataclass from typing import Any, Dict, Optional, Type +from .adapters.azure_openai import AzureOpenAIAdapter from .adapters.base import Adapter from .adapters.claude import ClaudeAdapter from .adapters.deepseek import DeepSeekAdapter @@ -82,6 +83,7 @@ def __init__(self): def _initialize_registry(self): """Initialize adapter registry with metadata.""" adapter_classes = { + "azure_openai": AzureOpenAIAdapter, "claude": ClaudeAdapter, "deepseek": DeepSeekAdapter, "gemini": GeminiAdapter, diff --git a/src/promptdrifter/adapters/__init__.py b/src/promptdrifter/adapters/__init__.py index 490fcaa..2ce4c63 100644 --- a/src/promptdrifter/adapters/__init__.py +++ b/src/promptdrifter/adapters/__init__.py @@ -1,3 +1,4 @@ +from .azure_openai import AzureOpenAIAdapter from .base import Adapter from .claude import ClaudeAdapter from .deepseek import DeepSeekAdapter @@ -12,6 +13,7 @@ __all__ = [ "Adapter", "OpenAIAdapter", + "AzureOpenAIAdapter", "OllamaAdapter", "GeminiAdapter", "QwenAdapter", diff --git a/src/promptdrifter/adapters/azure_openai.py b/src/promptdrifter/adapters/azure_openai.py new file mode 100644 index 0000000..f60a286 --- /dev/null +++ b/src/promptdrifter/adapters/azure_openai.py @@ -0,0 +1,164 @@ +import os +from typing import Any, Dict, Optional + +import httpx +from pydantic import Field, model_validator +from rich.console import Console + +from ..config.adapter_settings import ( + API_KEY_ENV_VAR_AZURE_OPENAI, + API_VERSION_ENV_VAR_AZURE_OPENAI, + AZURE_OPENAI_API_BASE_URL, + DEFAULT_AZURE_OPENAI_API_VERSION, + DEFAULT_AZURE_OPENAI_MODEL, + ENDPOINT_ENV_VAR_AZURE_OPENAI, +) +from ..http_client_manager import get_shared_client +from .base import Adapter, BaseAdapterConfig +from .models.azure_openai_models import AzureOpenAIHeaders, StandardResponse + +console = Console() + + +class AzureOpenAIAdapterConfig(BaseAdapterConfig): + base_url: str = AZURE_OPENAI_API_BASE_URL + default_model: str = DEFAULT_AZURE_OPENAI_MODEL + api_version: str = DEFAULT_AZURE_OPENAI_API_VERSION + api_key: Optional[str] = Field(default=None, validate_default=True) + max_tokens: Optional[int] = Field(default=2048, validate_default=True) + temperature: Optional[float] = None + system_prompt: Optional[str] = None + + @model_validator(mode="before") + @classmethod + def load_from_env(cls, values: Dict[str, Any]) -> Dict[str, Any]: + if not values.get("api_key"): + api_key_from_env = os.getenv(API_KEY_ENV_VAR_AZURE_OPENAI) + if api_key_from_env: + values["api_key"] = api_key_from_env + if not values.get("base_url"): + endpoint_from_env = os.getenv(ENDPOINT_ENV_VAR_AZURE_OPENAI) + if endpoint_from_env: + values["base_url"] = endpoint_from_env + if not values.get("api_version"): + api_version_from_env = os.getenv(API_VERSION_ENV_VAR_AZURE_OPENAI) + if api_version_from_env: + values["api_version"] = api_version_from_env + return values + + @model_validator(mode="after") + def check_required_settings(self) -> "AzureOpenAIAdapterConfig": + if not self.api_key: + raise ValueError( + f"Azure OpenAI API key not provided. Set the {API_KEY_ENV_VAR_AZURE_OPENAI} environment variable, " + f"or pass 'api_key' to the adapter or its config." + ) + if not self.base_url: + raise ValueError( + f"Azure OpenAI endpoint not provided. Set the {ENDPOINT_ENV_VAR_AZURE_OPENAI} environment variable, " + f"or pass 'base_url' to the adapter or its config " + f"(e.g. https://your-resource-name.openai.azure.com)." + ) + return self + + def get_headers(self) -> Dict[str, str]: + return AzureOpenAIHeaders(**{"api-key": self.api_key}).model_dump(by_alias=True) + + def get_chat_completions_path( + self, + config_override: Optional["AzureOpenAIAdapterConfig"] = None, + ) -> str: + deployment = (config_override or self).default_model + return f"/openai/deployments/{deployment}/chat/completions" + + def get_payload( + self, + prompt: str, + config_override: Optional["AzureOpenAIAdapterConfig"] = None + ) -> Dict[str, Any]: + effective_config = config_override or self + messages = [] + if effective_config.system_prompt: + messages.append({"role": "system", "content": effective_config.system_prompt}) + messages.append({"role": "user", "content": prompt}) + + payload = {"messages": messages} + if effective_config.temperature is not None: + payload["temperature"] = effective_config.temperature + if effective_config.max_tokens is not None: + payload["max_tokens"] = effective_config.max_tokens + return payload + + +class AzureOpenAIAdapter(Adapter): + """Adapter for interacting with the Azure OpenAI Service.""" + + def __init__( + self, + config: Optional[AzureOpenAIAdapterConfig] = None, + ): + self.config = config or AzureOpenAIAdapterConfig() + self._client = None + + async def _get_client(self) -> httpx.AsyncClient: + """Get shared HTTP client with connection pooling.""" + if self._client is None: + self._client = await get_shared_client( + base_url=self.config.base_url, + headers=self.config.get_headers() + ) + return self._client + + async def execute( + self, + prompt: str, + config_override: Optional[AzureOpenAIAdapterConfig] = None, + ) -> StandardResponse: + """Makes a request to the Azure OpenAI Chat Completions API.""" + payload = self.config.get_payload(prompt, config_override) + effective_config = config_override or self.config + model_name = effective_config.default_model + path = self.config.get_chat_completions_path(config_override) + params = {"api-version": effective_config.api_version} + response = StandardResponse(model_name=model_name) + try: + client = await self._get_client() + api_response = await client.post( + path, json=payload, params=params, timeout=60.0 + ) + api_response.raise_for_status() + raw_response_content = api_response.json() + response.raw_response = raw_response_content + if ( + raw_response_content.get("choices") + and isinstance(raw_response_content["choices"], list) + and len(raw_response_content["choices"]) > 0 + ): + first_choice = raw_response_content["choices"][0] + if ( + isinstance(first_choice, dict) + and first_choice.get("message") + and isinstance(first_choice["message"], dict) + ): + response.text_response = first_choice["message"].get("content") + response.finish_reason = first_choice.get("finish_reason") + response.usage = raw_response_content.get("usage") + except httpx.HTTPStatusError as e: + error_content = e.response.text + response.error = f"API Error (HTTP {e.response.status_code}): {error_content}" + response.raw_response = {"error_detail": error_content} + response.finish_reason = "error" + except httpx.RequestError as e: + response.error = f"HTTP Client Error: RequestError - {str(e)}" + response.raw_response = {"error_detail": str(e)} + response.finish_reason = "error" + except Exception as e: + console.print_exception() + response.error = f"An unexpected error occurred: {str(e)}" + response.raw_response = {"error_detail": str(e)} + response.finish_reason = "error" + return response + + async def close(self): + """Close method - HTTP connections managed by shared client manager.""" + self._client = None diff --git a/src/promptdrifter/adapters/models/azure_openai_models.py b/src/promptdrifter/adapters/models/azure_openai_models.py new file mode 100644 index 0000000..b59f33a --- /dev/null +++ b/src/promptdrifter/adapters/models/azure_openai_models.py @@ -0,0 +1,13 @@ +from pydantic import BaseModel, Field + +from .openai_models import StandardResponse + +__all__ = [ + "AzureOpenAIHeaders", + "StandardResponse", +] + + +class AzureOpenAIHeaders(BaseModel): + api_key: str = Field(alias="api-key") + content_type: str = Field(alias="Content-Type", default="application/json") diff --git a/src/promptdrifter/cli.py b/src/promptdrifter/cli.py index 2300dfb..786166f 100644 --- a/src/promptdrifter/cli.py +++ b/src/promptdrifter/cli.py @@ -178,6 +178,7 @@ async def _run_async( config_dir: Path, max_concurrent_prompt_tests: int, openai_api_key: Optional[str], + azure_openai_api_key: Optional[str], gemini_api_key: Optional[str], qwen_api_key: Optional[str], claude_api_key: Optional[str], @@ -189,6 +190,7 @@ async def _run_async( """Async implementation of the run command.""" if ( (openai_api_key and not is_from_env("openai_api_key", "OPENAI_API_KEY")) + or (azure_openai_api_key and not is_from_env("azure_openai_api_key", "AZURE_OPENAI_API_KEY")) or (gemini_api_key and not is_from_env("gemini_api_key", "GEMINI_API_KEY")) or (qwen_api_key and not is_from_env("qwen_api_key", "QWEN_API_KEY")) or (claude_api_key and not is_from_env("claude_api_key", "CLAUDE_API_KEY")) @@ -242,6 +244,7 @@ async def _run_async( use_cache=not no_cache, max_concurrent_prompt_tests=max_concurrent_prompt_tests, openai_api_key=openai_api_key, + azure_openai_api_key=azure_openai_api_key, gemini_api_key=gemini_api_key, qwen_api_key=qwen_api_key, claude_api_key=claude_api_key, @@ -290,6 +293,13 @@ def run( envvar="OPENAI_API_KEY", rich_help_panel="API Keys", ), + azure_openai_api_key: Optional[str] = typer.Option( + None, + "--azure-openai-api-key", + help="Azure OpenAI API key. Overrides AZURE_OPENAI_API_KEY env var. Warning: Exposes key in shell history.", + envvar="AZURE_OPENAI_API_KEY", + rich_help_panel="API Keys", + ), gemini_api_key: Optional[str] = typer.Option( None, "--gemini-api-key", @@ -349,6 +359,7 @@ def run( config_dir, max_concurrent_prompt_tests, openai_api_key, + azure_openai_api_key, gemini_api_key, qwen_api_key, claude_api_key, diff --git a/src/promptdrifter/config/adapter_settings.py b/src/promptdrifter/config/adapter_settings.py index 6f6f3dd..5595da2 100644 --- a/src/promptdrifter/config/adapter_settings.py +++ b/src/promptdrifter/config/adapter_settings.py @@ -41,9 +41,14 @@ API_KEY_ENV_VAR_DEEPSEEK = "DEEPSEEK_API_KEY" # Azure OpenAI -AZURE_OPENAI_API_BASE_URL = "https://api.openai.com/v1" -DEFAULT_AZURE_OPENAI_MODEL = "gpt-3.5-turbo" +# No universal endpoint exists; it is per-resource and must be supplied via +# the AZURE_OPENAI_ENDPOINT env var or the adapter's base_url. +AZURE_OPENAI_API_BASE_URL = "" +DEFAULT_AZURE_OPENAI_MODEL = "gpt-4o" +DEFAULT_AZURE_OPENAI_API_VERSION = "2024-10-21" API_KEY_ENV_VAR_AZURE_OPENAI = "AZURE_OPENAI_API_KEY" +ENDPOINT_ENV_VAR_AZURE_OPENAI = "AZURE_OPENAI_ENDPOINT" +API_VERSION_ENV_VAR_AZURE_OPENAI = "AZURE_OPENAI_API_VERSION" # Llama (Meta) LLAMA_API_BASE_URL = "https://llama-api.meta.ai/v1" diff --git a/src/promptdrifter/models/config.py b/src/promptdrifter/models/config.py index 2d92f79..c4823bc 100644 --- a/src/promptdrifter/models/config.py +++ b/src/promptdrifter/models/config.py @@ -9,7 +9,7 @@ class AdapterConfig(BaseModel): ) adapter_type: Literal[ - "openai", "ollama", "gemini", "qwen", "claude", "grok", "deepseek", "llama", "mistral" + "openai", "azure_openai", "ollama", "gemini", "qwen", "claude", "grok", "deepseek", "llama", "mistral" ] = Field( ..., alias="type" ) diff --git a/src/promptdrifter/runner.py b/src/promptdrifter/runner.py index eb671ba..35ba4c5 100644 --- a/src/promptdrifter/runner.py +++ b/src/promptdrifter/runner.py @@ -24,6 +24,7 @@ def __init__( use_cache: bool = True, max_concurrent_prompt_tests: int = 10, openai_api_key: Optional[str] = None, + azure_openai_api_key: Optional[str] = None, gemini_api_key: Optional[str] = None, qwen_api_key: Optional[str] = None, claude_api_key: Optional[str] = None, @@ -48,6 +49,7 @@ def __init__( # Store API keys for adapter manager self.api_keys = { "openai": openai_api_key, + "azure_openai": azure_openai_api_key, "gemini": gemini_api_key, "qwen": qwen_api_key, "claude": claude_api_key, diff --git a/src/promptdrifter/schema/v0.1/schema.json b/src/promptdrifter/schema/v0.1/schema.json index 9067cb4..4fbd931 100644 --- a/src/promptdrifter/schema/v0.1/schema.json +++ b/src/promptdrifter/schema/v0.1/schema.json @@ -88,6 +88,7 @@ "description": "Backend adapter name (e.g. openai, ollama, qwen, gemini).", "enum": [ "openai", + "azure_openai", "ollama", "gemini", "qwen", diff --git a/tests/unit/adapters/test_azure_openai_adapter.py b/tests/unit/adapters/test_azure_openai_adapter.py new file mode 100644 index 0000000..aac5263 --- /dev/null +++ b/tests/unit/adapters/test_azure_openai_adapter.py @@ -0,0 +1,263 @@ +import json +from unittest.mock import ( + AsyncMock, + MagicMock, + patch, +) + +import httpx +import pytest + +from promptdrifter.adapters.azure_openai import ( + AzureOpenAIAdapter, + AzureOpenAIAdapterConfig, +) +from promptdrifter.config.adapter_settings import ( + API_KEY_ENV_VAR_AZURE_OPENAI as config_API_KEY_ENV_VAR_AZURE_OPENAI, +) +from promptdrifter.config.adapter_settings import ( + DEFAULT_AZURE_OPENAI_API_VERSION as config_DEFAULT_AZURE_OPENAI_API_VERSION, +) +from promptdrifter.config.adapter_settings import ( + DEFAULT_AZURE_OPENAI_MODEL as config_DEFAULT_AZURE_OPENAI_MODEL, +) +from promptdrifter.config.adapter_settings import ( + ENDPOINT_ENV_VAR_AZURE_OPENAI as config_ENDPOINT_ENV_VAR_AZURE_OPENAI, +) + +pytestmark = pytest.mark.asyncio + +TEST_API_KEY = "test-azure-openai-api-key" +TEST_ENDPOINT = "https://test-resource.openai.azure.com" +TEST_DEPLOYMENT = "gpt-4o-test" + +SUCCESS_RESPONSE_PAYLOAD = { + "id": "chatcmpl-mockid", + "object": "chat.completion", + "created": 1677652288, + "model": config_DEFAULT_AZURE_OPENAI_MODEL, + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "This is a test response from Azure OpenAI.", + }, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 9, "completion_tokens": 12, "total_tokens": 21}, +} + +API_ERROR_RESPONSE_PAYLOAD = { + "error": { + "message": "Access denied due to invalid subscription key.", + "type": "invalid_request_error", + "param": None, + "code": "401", + } +} + + +@pytest.fixture +def mock_httpx_client(): + client = MagicMock(spec=httpx.AsyncClient) + client.post = AsyncMock() + client.aclose = AsyncMock() + return client + + +@pytest.fixture(autouse=True) +def patch_shared_client(mock_httpx_client): + async_mock = AsyncMock(return_value=mock_httpx_client) + with patch( + "promptdrifter.adapters.azure_openai.get_shared_client", + async_mock, + ) as patched_get_shared_client: + yield patched_get_shared_client + + +@pytest.fixture +def adapter(patch_shared_client, monkeypatch): + monkeypatch.setenv(config_API_KEY_ENV_VAR_AZURE_OPENAI, TEST_API_KEY) + monkeypatch.setenv(config_ENDPOINT_ENV_VAR_AZURE_OPENAI, TEST_ENDPOINT) + config = AzureOpenAIAdapterConfig( + api_key=TEST_API_KEY, + base_url=TEST_ENDPOINT, + default_model=TEST_DEPLOYMENT, + max_tokens=1024, + ) + return AzureOpenAIAdapter(config=config) + + +async def test_init_with_direct_params(monkeypatch, patch_shared_client): + monkeypatch.delenv(config_API_KEY_ENV_VAR_AZURE_OPENAI, raising=False) + config = AzureOpenAIAdapterConfig( + api_key="direct_key", + base_url="https://my-resource.openai.azure.com", + default_model="custom-deployment", + api_version="2025-01-01-preview", + max_tokens=512, + ) + adapter_instance = AzureOpenAIAdapter(config=config) + assert adapter_instance.config.api_key == "direct_key" + assert adapter_instance.config.base_url == "https://my-resource.openai.azure.com" + assert adapter_instance.config.default_model == "custom-deployment" + assert adapter_instance.config.api_version == "2025-01-01-preview" + assert adapter_instance.config.max_tokens == 512 + + +async def test_init_with_env_key_and_endpoint_and_defaults(monkeypatch, patch_shared_client): + monkeypatch.setenv(config_API_KEY_ENV_VAR_AZURE_OPENAI, "env_key_defaults") + monkeypatch.setenv(config_ENDPOINT_ENV_VAR_AZURE_OPENAI, TEST_ENDPOINT) + config = AzureOpenAIAdapterConfig() + adapter_instance = AzureOpenAIAdapter(config=config) + assert adapter_instance.config.api_key == "env_key_defaults" + assert adapter_instance.config.base_url == TEST_ENDPOINT + assert adapter_instance.config.default_model == config_DEFAULT_AZURE_OPENAI_MODEL + assert adapter_instance.config.api_version == config_DEFAULT_AZURE_OPENAI_API_VERSION + + +async def test_init_no_key_raises_error(monkeypatch): + monkeypatch.delenv(config_API_KEY_ENV_VAR_AZURE_OPENAI, raising=False) + monkeypatch.setenv(config_ENDPOINT_ENV_VAR_AZURE_OPENAI, TEST_ENDPOINT) + with pytest.raises(ValueError) as excinfo: + AzureOpenAIAdapter() + assert config_API_KEY_ENV_VAR_AZURE_OPENAI in str(excinfo.value) + + +async def test_init_no_endpoint_raises_error(monkeypatch): + monkeypatch.setenv(config_API_KEY_ENV_VAR_AZURE_OPENAI, TEST_API_KEY) + monkeypatch.delenv(config_ENDPOINT_ENV_VAR_AZURE_OPENAI, raising=False) + with pytest.raises(ValueError) as excinfo: + AzureOpenAIAdapter() + assert config_ENDPOINT_ENV_VAR_AZURE_OPENAI in str(excinfo.value) + + +async def test_headers_use_api_key(adapter): + headers = adapter.config.get_headers() + assert headers["api-key"] == TEST_API_KEY + assert headers["Content-Type"] == "application/json" + assert "Authorization" not in headers + + +async def test_execute_successful(adapter, mock_httpx_client): + mock_http_response = MagicMock(spec=httpx.Response) + mock_http_response.status_code = 200 + mock_http_response.json = MagicMock(return_value=SUCCESS_RESPONSE_PAYLOAD) + mock_http_response.raise_for_status = MagicMock() + mock_httpx_client.post.return_value = mock_http_response + + prompt = "Hello, Azure OpenAI!" + config_override = AzureOpenAIAdapterConfig( + default_model="gpt-4o-override", + api_version="2025-01-01-preview", + temperature=0.5, + max_tokens=50, + ) + result = await adapter.execute(prompt, config_override=config_override) + + mock_httpx_client.post.assert_called_once() + call_args = mock_httpx_client.post.call_args + assert call_args[0][0] == "/openai/deployments/gpt-4o-override/chat/completions" + assert call_args[1]["params"] == {"api-version": "2025-01-01-preview"} + payload = call_args[1]["json"] + assert "model" not in payload + assert payload["messages"] == [{"role": "user", "content": prompt}] + assert payload["temperature"] == 0.5 + assert payload["max_tokens"] == 50 + + assert result.text_response == SUCCESS_RESPONSE_PAYLOAD["choices"][0]["message"]["content"] + assert result.raw_response == SUCCESS_RESPONSE_PAYLOAD + assert result.model_name == "gpt-4o-override" + assert result.finish_reason == "stop" + assert result.usage == SUCCESS_RESPONSE_PAYLOAD["usage"] + assert result.error is None + + await adapter.close() + + +async def test_execute_uses_instance_defaults(adapter, mock_httpx_client): + mock_http_response = MagicMock(spec=httpx.Response) + mock_http_response.status_code = 200 + mock_http_response.json = MagicMock(return_value=SUCCESS_RESPONSE_PAYLOAD) + mock_http_response.raise_for_status = MagicMock() + mock_httpx_client.post.return_value = mock_http_response + + await adapter.execute("Test prompt") + call_args = mock_httpx_client.post.call_args + assert call_args[0][0] == f"/openai/deployments/{TEST_DEPLOYMENT}/chat/completions" + assert call_args[1]["params"] == {"api-version": config_DEFAULT_AZURE_OPENAI_API_VERSION} + payload = call_args[1]["json"] + assert payload["max_tokens"] == adapter.config.max_tokens + + +async def test_execute_with_system_prompt(adapter, mock_httpx_client): + mock_http_response = MagicMock(spec=httpx.Response) + mock_http_response.status_code = 200 + mock_http_response.json = MagicMock(return_value=SUCCESS_RESPONSE_PAYLOAD) + mock_http_response.raise_for_status = MagicMock() + mock_httpx_client.post.return_value = mock_http_response + + config_override = AzureOpenAIAdapterConfig( + default_model=adapter.config.default_model, + system_prompt="You are a test bot.", + ) + await adapter.execute("Hello bot", config_override=config_override) + payload = mock_httpx_client.post.call_args[1]["json"] + assert payload["messages"][0] == {"role": "system", "content": "You are a test bot."} + assert payload["messages"][1] == {"role": "user", "content": "Hello bot"} + + +async def test_execute_http_status_error(adapter, mock_httpx_client): + error_response_content_str = json.dumps(API_ERROR_RESPONSE_PAYLOAD) + + mock_error_http_response = MagicMock(spec=httpx.Response) + mock_error_http_response.status_code = 401 + mock_error_http_response.text = error_response_content_str + mock_error_http_response.request = httpx.Request("POST", "/chat/completions") + mock_error_http_response.raise_for_status = MagicMock(side_effect=httpx.HTTPStatusError( + message="Client error '401 Unauthorized'", + request=mock_error_http_response.request, + response=mock_error_http_response, + )) + mock_httpx_client.post.return_value = mock_error_http_response + + result = await adapter.execute("A prompt") + + assert result.error.startswith("API Error (HTTP 401):") + assert error_response_content_str in result.error + assert result.raw_response == {"error_detail": error_response_content_str} + assert result.text_response is None + assert result.model_name == adapter.config.default_model + assert result.finish_reason == "error" + + +async def test_execute_request_error(adapter, mock_httpx_client): + mock_httpx_client.post.side_effect = httpx.ConnectError("Connection failed") + + result = await adapter.execute("A prompt") + + assert result.error.startswith("HTTP Client Error: RequestError") + assert "Connection failed" in result.error + assert result.raw_response == {"error_detail": "Connection failed"} + assert result.text_response is None + assert result.finish_reason == "error" + + +async def test_execute_unexpected_error(adapter, mock_httpx_client): + mock_httpx_client.post.side_effect = Exception("Something totally unexpected") + + result = await adapter.execute("A prompt for unexpected") + + assert result.error is not None + assert "An unexpected error occurred" in result.error + assert "Something totally unexpected" in result.error + assert result.raw_response == {"error_detail": "Something totally unexpected"} + assert result.text_response is None + assert result.finish_reason == "error" + + +async def test_adapter_close(adapter): + await adapter.close() + assert adapter._client is None diff --git a/tests/unit/test_adapter_manager.py b/tests/unit/test_adapter_manager.py index efb8366..3374ab7 100644 --- a/tests/unit/test_adapter_manager.py +++ b/tests/unit/test_adapter_manager.py @@ -98,8 +98,9 @@ def adapter_manager(self): return AdapterManager() def test_adapter_manager_initialization(self, adapter_manager): - assert len(adapter_manager._adapter_registry) == 8 + assert len(adapter_manager._adapter_registry) == 9 assert "openai" in adapter_manager._adapter_registry + assert "azure_openai" in adapter_manager._adapter_registry assert "claude" in adapter_manager._adapter_registry assert "gemini" in adapter_manager._adapter_registry assert "grok" in adapter_manager._adapter_registry diff --git a/tests/unit/test_cli.py b/tests/unit/test_cli.py index ccd62fc..eee07bf 100644 --- a/tests/unit/test_cli.py +++ b/tests/unit/test_cli.py @@ -31,6 +31,7 @@ async def test_cli_run_logic_success(mocker, tmp_path): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -45,6 +46,7 @@ async def test_cli_run_logic_success(mocker, tmp_path): use_cache=True, max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -73,6 +75,7 @@ async def test_cli_run_logic_failure_from_suite(mocker, tmp_path): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -87,6 +90,7 @@ async def test_cli_run_logic_failure_from_suite(mocker, tmp_path): use_cache=True, max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -113,6 +117,7 @@ async def test_cli_run_logic_runner_init_exception(mocker, tmp_path, capsys): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -143,6 +148,7 @@ async def test_cli_run_logic_suite_exception(mocker, tmp_path, capsys): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -176,6 +182,7 @@ async def test_cli_run_logic_multiple_files(mocker, tmp_path): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -190,6 +197,7 @@ async def test_cli_run_logic_multiple_files(mocker, tmp_path): use_cache=True, max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -213,6 +221,7 @@ async def test_cli_run_logic_file_not_found(mocker, capsys): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -239,6 +248,7 @@ async def test_cli_run_logic_no_files_provided(mocker, capsys): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -406,6 +416,7 @@ async def test_cli_run_prints_security_warning(mocker, tmp_path, capsys): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key="cli_key_here", + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -427,6 +438,7 @@ async def test_cli_run_prints_security_warning(mocker, tmp_path, capsys): config_dir=Path("."), max_concurrent_prompt_tests=10, openai_api_key=None, + azure_openai_api_key=None, gemini_api_key=None, qwen_api_key=None, claude_api_key=None, @@ -480,6 +492,7 @@ def test_run_command_with_api_keys(mocker): dummy_config_dir, # config_dir (positional) 10, # max_concurrent_prompt_tests (positional) "key1", # openai_api_key (positional) + None, # azure_openai_api_key (positional) "key2", # gemini_api_key (positional) "test_qwen_key", # qwen_api_key (positional) "claude_key", # claude_api_key (positional) @@ -511,6 +524,7 @@ def test_run_command_with_api_keys(mocker): dummy_config_dir, 10, # max_concurrent_prompt_tests None, # No OpenAI key + None, # No Azure OpenAI key None, # No Gemini key None, # No Qwen key None, # No Claude key @@ -544,6 +558,7 @@ def test_run_command_with_api_keys(mocker): dummy_config_dir, 10, # max_concurrent_prompt_tests None, # No OpenAI key + None, # No Azure OpenAI key "just_gemini_key", # Only Gemini key provided None, # No Qwen key None, # No Claude key @@ -552,6 +567,40 @@ def test_run_command_with_api_keys(mocker): None, # No Mistral key # None, # No Llama key ) + mock_run_async.reset_mock() + + result = cli_runner.invoke( + app, + [ + "run", + str(test_file_path), + "--azure-openai-api-key", + "azure_key", + "--no-cache", + "--cache-db", + str(dummy_cache_db), + "--config-dir", + str(dummy_config_dir), + ], + ) + assert result.exit_code == 0, strip_ansi(result.stdout) + + mock_run_async.assert_called_once_with( + [test_file_path], + True, + dummy_cache_db, + dummy_config_dir, + 10, # max_concurrent_prompt_tests + None, # No OpenAI key + "azure_key", # Only Azure OpenAI key provided + None, # No Gemini key + None, # No Qwen key + None, # No Claude key + None, # No Grok key + None, # No DeepSeek key + None, # No Mistral key + # None, # No Llama key + ) def test_assertion_exact_match_true(mocker): diff --git a/uv.lock b/uv.lock index bab4609..ab6b881 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,6 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.11" -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version < '3.12'", -] [[package]] name = "annotated-doc" @@ -26,82 +22,33 @@ wheels = [ [[package]] name = "anyio" -version = "4.9.0" +version = "4.13.0" source = { registry = 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