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// ruleid: detect-openai | ||
using OpenAI.Chat; | ||
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// ruleid: detect-openai | ||
ChatClient client = new("gpt-3.5-turbo", Environment.GetEnvironmentVariable("OPENAI_API_KEY")); | ||
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// ruleid: detect-openai | ||
ChatCompletion chatCompletion = client.CompleteChat( | ||
[ | ||
new UserChatMessage("Say 'this is a test.'") | ||
]); |
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rules: | ||
- id: detect-openai | ||
languages: | ||
- csharp | ||
severity: INFO | ||
message: "Possibly found usage of AI: OpenAI" | ||
pattern-either: | ||
- pattern: using OpenAI | ||
- pattern: (ChatClient $CLIENT) | ||
- pattern: (ChatClient $CLIENT).$FUNC(...) | ||
metadata: | ||
references: | ||
- http://semgrep.dev/blog/2024/detecting-shadow-ai | ||
category: maintainability | ||
technology: | ||
- genAI | ||
- LLMs | ||
confidence: LOW |
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// ruleid: detect-gemini | ||
import 'package:google_generative_ai/google_generative_ai.dart'; | ||
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// Access your API key as an environment variable (see "Set up your API key" above) | ||
final apiKey = Platform.environment['API_KEY']; | ||
if (apiKey == null) { | ||
print('No \$API_KEY environment variable'); | ||
exit(1); | ||
} | ||
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// ruleid: detect-gemini | ||
final model = GenerativeModel(model: 'gemini-1.5-flash', apiKey: apiKey); |
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rules: | ||
- id: detect-gemini | ||
languages: | ||
- dart | ||
severity: INFO | ||
message: "Possibly found usage of AI: Gemini" | ||
pattern-either: | ||
- pattern: import 'package:google_generative_ai'; | ||
- pattern: final $MODEL = GenerativeModel(...); | ||
metadata: | ||
references: | ||
- http://semgrep.dev/blog/2024/detecting-shadow-ai | ||
category: maintainability | ||
technology: | ||
- genAI | ||
- LLMs | ||
confidence: LOW |
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# ruleid: detect-generic-ai-anthprop | ||
import anthropic | ||
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# ruleid: detect-generic-ai-anthprop | ||
client = anthropic.Anthropic( | ||
# defaults to os.environ.get("ANTHROPIC_API_KEY") | ||
api_key="my_api_key", | ||
) | ||
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message = client.messages.create( | ||
# ruleid: detect-generic-ai-anthprop | ||
model="claude-3-opus-20240229", | ||
max_tokens=1024, | ||
messages=[ | ||
{"role": "user", "content": "Hello, Claude"} | ||
] | ||
) | ||
print(message.content) |
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rules: | ||
- id: detect-generic-ai-anthprop | ||
languages: | ||
- generic | ||
severity: INFO | ||
message: "Possibly found usage of AI: Anthropic" | ||
pattern-either: | ||
- pattern: anthropic | ||
- pattern: Anthropic | ||
- pattern: claude | ||
metadata: | ||
references: | ||
- http://semgrep.dev/blog/2024/detecting-shadow-ai | ||
category: maintainability | ||
technology: | ||
- genAI | ||
- LLMs | ||
confidence: LOW |
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const rawRes = await fetchWithTimeout( | ||
// ruleid: detect-generic-ai-api | ||
`https://${baseURL}/v1/chat/completions`, | ||
{ | ||
headers: { | ||
"Content-Type": "application/json", | ||
Authorization: `Bearer ${apiKey}` | ||
}, | ||
timeout, | ||
method: "POST", | ||
body: JSON.stringify({ | ||
model, | ||
messages: messages.map(k => ({ role: k.role, content: k.content })), | ||
temperature, | ||
stream: true | ||
}) | ||
} | ||
) |
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rules: | ||
- id: detect-generic-ai-api | ||
languages: | ||
- generic | ||
severity: INFO | ||
message: "Possibly found usage of AI: HTTP Request" | ||
pattern-either: | ||
- pattern: /chat/completions | ||
- pattern: api.openai.com | ||
metadata: | ||
references: | ||
- http://semgrep.dev/blog/2024/detecting-shadow-ai | ||
category: maintainability | ||
technology: | ||
- genAI | ||
- LLMs | ||
confidence: LOW |
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<html> | ||
<body> | ||
<!-- ... Your HTML and CSS --> | ||
// ruleid: detect-generic-ai-gem | ||
<!-- Import @google/generative-ai, as shown above. --> | ||
<script type="module"> | ||
// ruleid: detect-generic-ai-gem | ||
import { GoogleGenerativeAI } from "@google/generative-ai"; | ||
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// Fetch your API_KEY | ||
const API_KEY = "..."; | ||
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// Access your API key (see "Set up your API key" above) | ||
// ruleid: detect-generic-ai-gem | ||
const genAI = new GoogleGenerativeAI(API_KEY); | ||
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const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash"}); | ||
</script> | ||
</body> | ||
</html> |
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rules: | ||
- id: detect-generic-ai-gem | ||
languages: | ||
- generic | ||
severity: INFO | ||
message: "Possibly found usage of AI: Gemini" | ||
pattern-either: | ||
- pattern: google/generative-ai | ||
- pattern: GoogleGenerativeAI | ||
metadata: | ||
references: | ||
- http://semgrep.dev/blog/2024/detecting-shadow-ai | ||
category: maintainability | ||
technology: | ||
- genAI | ||
- LLMs | ||
confidence: LOW |
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OPENAI_API_KEY = "MY_API_KEY" | ||
# ruleid: detect-generic-ai-oai | ||
from openai import OpenAI | ||
# ruleid: detect-generic-ai-oai | ||
client = OpenAI( | ||
# Defaults to os.environ.get("OPENAI_API_KEY") | ||
) |
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@@ -0,0 +1,17 @@ | ||
rules: | ||
- id: detect-generic-ai-oai | ||
languages: | ||
- generic | ||
severity: INFO | ||
message: "Possibly found usage of AI: OpenAI" | ||
pattern-either: | ||
- pattern: openai | ||
- pattern: OpenAI | ||
metadata: | ||
references: | ||
- http://semgrep.dev/blog/2024/detecting-shadow-ai | ||
category: maintainability | ||
technology: | ||
- genAI | ||
- LLMs | ||
confidence: LOW |
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// ruleid: detect-gemini | ||
import "github.com/google/generative-ai-go/genai" | ||
import "google.golang.org/api/option" | ||
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ctx := context.Background() | ||
// Access your API key as an environment variable (see "Set up your API key" above) | ||
// ruleid: detect-gemini | ||
client, err := genai.NewClient(ctx, option.WithAPIKey(os.Getenv("API_KEY"))) | ||
if err != nil { | ||
log.Fatal(err) | ||
} | ||
defer client.Close() | ||
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model := client.GenerativeModel("gemini-1.5-flash") |
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rules: | ||
- id: detect-gemini | ||
languages: | ||
- go | ||
severity: INFO | ||
message: "Possibly found usage of AI: Gemini" | ||
pattern-either: | ||
- pattern: import "github.com/google/generative-ai-go" | ||
- pattern: genai.NewClient(...) | ||
metadata: | ||
references: | ||
- http://semgrep.dev/blog/2024/detecting-shadow-ai | ||
category: maintainability | ||
technology: | ||
- genAI | ||
- LLMs | ||
confidence: LOW |
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