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https://github.com/msoedov/agentic_security.git
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fix(minor docs update):
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+13
-17
@@ -33,7 +33,7 @@ The `LLMSpec` class is the core of the HTTP specification. It provides the follo
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### Methods
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- **`from_string(http_spec: str) -> LLMSpec`**: Parses an HTTP specification string into an `LLMSpec` object.
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- **`validate(prompt: str, encoded_image: str, encoded_audio: str, files: dict) -> None`**: Validates the request parameters based on the specified modality.
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- **`validate(prompt: str, encoded_image: str, encoded_audio: str, files: dict) -> null`**: Validates the request parameters based on the specified modality.
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- **`probe(prompt: str, encoded_image: str = "", encoded_audio: str = "", files: dict = {}) -> httpx.Response`**: Sends an HTTP request using the specified parameters.
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- **`verify() -> httpx.Response`**: Verifies the HTTP specification by sending a test request.
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@@ -52,12 +52,11 @@ Authorization: Bearer sk-xxxxxxxxx
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Content-Type: application/json
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{
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"model": "gpt-3.5-turbo",
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"messages": [{"role": "user", "content": "<<PROMPT>>"}],
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"temperature": 0.7
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"model": "gpt-3.5-turbo",
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"messages": [{"role": "user", "content": "<<PROMPT>>"}],
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"temperature": 0.7
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}
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"""
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spec = LLMSpec.from_string(http_spec)
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response = await spec.probe("What is the capital of France?")
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```
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@@ -71,12 +70,11 @@ Authorization: Bearer sk-xxxxxxxxx
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Content-Type: application/json
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{
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"model": "gpt-4-vision-preview",
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"messages": [{"role": "user", "content": "What is in this image? <<BASE64_IMAGE>>"}],
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"temperature": 0.7
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"model": "gpt-4-vision-preview",
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"messages": [{"role": "user", "content": "What is in this image? <<BASE64_IMAGE>>"}],
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"temperature": 0.7
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}
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"""
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spec = LLMSpec.from_string(http_spec)
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encoded_image = encode_image_base64_by_url("https://example.com/image.jpg")
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response = await spec.probe("What is in this image?", encoded_image=encoded_image)
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@@ -91,12 +89,11 @@ Authorization: Bearer sk-xxxxxxxxx
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Content-Type: application/json
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{
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"model": "whisper-large-v3",
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"messages": [{"role": "user", "content": "Transcribe this audio: <<BASE64_AUDIO>>"}],
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"temperature": 0.7
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"model": "whisper-large-v3",
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"messages": [{"role": "user", "content": "Transcribe this audio: <<BASE64_AUDIO>>"}],
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"temperature": 0.7
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}
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"""
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spec = LLMSpec.from_string(http_spec)
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encoded_audio = encode_audio_base64_by_url("https://example.com/audio.mp3")
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response = await spec.probe("Transcribe this audio:", encoded_audio=encoded_audio)
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@@ -111,12 +108,11 @@ Authorization: Bearer sk-xxxxxxxxx
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Content-Type: multipart/form-data
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{
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"model": "gpt-3.5-turbo",
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"messages": [{"role": "user", "content": "Process this file: <<FILE>>"}],
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"temperature": 0.7
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"model": "gpt-3.5-turbo",
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"messages": [{"role": "user", "content": "Process this file: <<FILE>>"}],
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"temperature": 0.7
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}
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"""
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spec = LLMSpec.from_string(http_spec)
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files = {"file": ("document.txt", open("document.txt", "rb"))}
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response = await spec.probe("Process this file:", files=files)
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