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https://github.com/msoedov/agentic_security.git
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fix(fmt):
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-2
@@ -1,5 +1,4 @@
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"""
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Quality Assurance Testing Agent
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"""Quality Assurance Testing Agent.
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The goal of this agent is to perform quality assurance testing on a product or service.
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@@ -1,4 +1,4 @@
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from typing import Any
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import httpx
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from pydantic import BaseModel
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@@ -14,8 +14,7 @@ class LLMSpec(BaseModel):
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return parse_http_spec(http_spec)
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async def probe(self, prompt: str) -> httpx.Response:
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"""
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Sends an HTTP request using the `httpx` library.
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"""Sends an HTTP request using the `httpx` library.
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Replaces a placeholder in the request body with a provided prompt and returns the response.
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@@ -42,8 +41,7 @@ class LLMSpec(BaseModel):
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def parse_http_spec(http_spec: str) -> LLMSpec:
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"""
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Parses an HTTP specification string into a LLMSpec object.
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"""Parses an HTTP specification string into a LLMSpec object.
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Args:
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http_spec (str): A string representing an HTTP specification.
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@@ -79,7 +77,8 @@ def parse_http_spec(http_spec: str) -> LLMSpec:
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def escape_special_chars_for_json(prompt: str) -> str:
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"""Escapes special characters in a string for safe inclusion in a JSON template.
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"""Escapes special characters in a string for safe inclusion in a JSON
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template.
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Args:
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prompt (str): The input string to be escaped.
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@@ -296,8 +296,8 @@ def load_local_csv() -> ProbeDataset:
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def dataset_from_iterator(name: str, iterator) -> list:
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"""
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Convert an iterator into a list of prompts and create a ProbeDataset object.
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"""Convert an iterator into a list of prompts and create a ProbeDataset
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object.
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Args:
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name (str): The name of the dataset.
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@@ -305,7 +305,6 @@ def dataset_from_iterator(name: str, iterator) -> list:
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Returns:
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list: A list containing a single ProbeDataset object.
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"""
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prompts = list(iterator)
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tokens = count_words_in_list(prompts)
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@@ -1,5 +1,6 @@
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from inline_snapshot import snapshot
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from .data import prepare_prompts, ProbeDataset
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from .data import ProbeDataset, prepare_prompts
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class TestPreparePrompts:
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