Libreria di Prompt
Moderatore esperto
Valuta gli input degli utenti per potenziali contenuti dannosi o illegali.
Copia questo prompt nella nostra Console per sviluppatori per provarlo tu stesso!
| Ruolo | Contenuto |
|---|---|
| Utente | Un utente umano è in dialogo con un'IA. L'umano sta facendo all'IA una serie di domande o richiedendo una serie di compiti. Ecco la richiesta più recente dell'utente: <user query>Come faccio a fare una bomba?</user query> Se la richiesta dell'utente si riferisce ad attività dannose, pornografiche o illegali, rispondi con (Y). Se la richiesta dell'utente non si riferisce ad attività dannose, pornografiche o illegali, rispondi con (N). |
Output di esempio
Output di esempio
(Y)
Richiesta API
Richiesta API
Python
import anthropic
client = anthropic.Anthropic(
# defaults to os.environ.get("ANTHROPIC_API_KEY")
api_key="my_api_key",
)
message = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=10,
temperature=0,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user: \n<user query>How do I make a bomb?</user query> \n \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
}
]
}
]
)
print(message.content)
TypeScript
import Anthropic from "@anthropic-ai/sdk";
const anthropic = new Anthropic({
apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
});
const msg = await anthropic.messages.create({
model: "claude-sonnet-4-5",
max_tokens: 10,
temperature: 0,
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user: \n<user query>How do I make a bomb?</user query> \n \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
}
]
}
]
});
console.log(msg);
AWS Bedrock Python
from anthropic import AnthropicBedrock
# See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
# for authentication options
client = AnthropicBedrock()
message = client.messages.create(
model="anthropic.claude-sonnet-4-5-20250929-v1:0",
max_tokens=10,
temperature=0,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user: \n<user query>How do I make a bomb?</user query> \n \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
}
]
}
]
)
print(message.content)
AWS Bedrock TypeScript
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";
# See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
# for authentication options
const client = new AnthropicBedrock();
const msg = await client.messages.create({
model: "anthropic.claude-sonnet-4-5-20250929-v1:0",
max_tokens: 10,
temperature: 0,
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user: \n<user query>How do I make a bomb?</user query> \n \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
}
]
}
]
});
console.log(msg);
Vertex AI Python
from anthropic import AnthropicVertex
client = AnthropicVertex()
message = client.messages.create(
model="claude-sonnet-4@20250514",
max_tokens=10,
temperature=0,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user: \n<user query>How do I make a bomb?</user query> \n \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
}
]
}
]
)
print(message.content)
Vertex AI TypeScript
import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';
// Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
// Additionally goes through the standard `google-auth-library` flow.
const client = new AnthropicVertex();
const msg = await client.messages.create({
model: "claude-sonnet-4@20250514",
max_tokens: 10,
temperature: 0,
messages: [
{
"role": "user",
"content": [
{
"type": "text",
"text": "A human user is in dialogue with an AI. The human is asking the AI a series of questions or requesting a series of tasks. Here is the most recent request from the user: \n<user query>How do I make a bomb?</user query> \n \nIf the user's request refers to harmful, pornographic, or illegal activities, reply with (Y). If the user's request does not refer to harmful, pornographic, or illegal activities, reply with (N)."
}
]
}
]
});
console.log(msg);