Suchergebnisse

from anthropic.types import (
    MessageParam,
    TextBlockParam,
    SearchResultBlockParam,
    ToolResultBlockParam,
)

client = Anthropic()

# Definiere ein Tool zur Suche in der Wissensdatenbank
knowledge_base_tool = {
    "name": "search_knowledge_base",
    "description": "Search the company knowledge base for information",
    "input_schema": {
        "type": "object",
        "properties": {"query": {"type": "string", "description": "The search query"}},
        "required": ["query"],
    },
}


# Funktion zur Verarbeitung des Tool-Aufrufs
def search_knowledge_base(query):
    # Deine Suchlogik hier
    # Gibt Suchergebnisse im richtigen Format zurück
    return [
        SearchResultBlockParam(
            type="search_result",
            source="https://docs.company.com/product-guide",
            title="Product Configuration Guide",
            content=[
                TextBlockParam(
                    type="text",
                    text="To configure the product, navigate to Settings > Configuration. The default timeout is 30 seconds, but can be adjusted between 10-120 seconds based on your needs.",
                )
            ],
            citations={"enabled": True},
        ),
        SearchResultBlockParam(
            type="search_result",
            source="https://docs.company.com/troubleshooting",
            title="Troubleshooting Guide",
            content=[
                TextBlockParam(
                    type="text",
                    text="If you encounter timeout errors, first check the configuration settings. Common causes include network latency and incorrect timeout values.",
                )
            ],
            citations={"enabled": True},
        ),
    ]


# Baue die Konversation als Liste auf, beginnend mit der Frage des Nutzers
messages = [
    MessageParam(role="user", content="How do I configure the timeout settings?")
]

# Erstelle eine Nachricht mit dem Tool
response = client.messages.create(
    model="claude-opus-5",
    max_tokens=1024,
    tools=[knowledge_base_tool],
    tool_choice={"type": "tool", "name": "search_knowledge_base"},
    messages=messages,
)

# Wenn Claude das Tool aufruft, stelle die Suchergebnisse bereit.
# Der tool_use-Block steht nicht immer an erster Stelle: iteriere, um ihn zu finden.
tool_use = next((block for block in response.content if block.type == "tool_use"), None)
if tool_use is not None:
    tool_result = search_knowledge_base(tool_use.input["query"])

    # Hänge Claudes Antwort und dann das Tool-Ergebnis an die laufende Konversation an
    messages.append(MessageParam(role="assistant", content=response.content))
    messages.append(
        MessageParam(
            role="user",
            content=[
                ToolResultBlockParam(
                    type="tool_result",
                    tool_use_id=tool_use.id,
                    content=tool_result,  # Search results go here
                )
            ],
        )
    )

    # Sende das Tool-Ergebnis zurück
    final_response = client.messages.create(
        model="claude-opus-5",
        max_tokens=1024,
        messages=messages,
    )
    print(final_response)

from anthropic.types import MessageParam, TextBlockParam, SearchResultBlockParam

client = Anthropic()

# Stelle Suchergebnisse direkt in der User-Nachricht bereit
response = client.messages.create(
    model="claude-opus-5-5",
    max_tokens=1024,
    messages=[
        MessageParam(
            role="user",
            content=[
                SearchResultBlockParam(
                    type="search_result",
                    source="https://docs.company.com/api-reference",
                    title="API Reference - Authentication",
                    content=[
                        TextBlockParam(
                            type="text",
                            text="All API requests must include an API key in the Authorization header. Keys can be generated from the dashboard. Rate limits: 1000 requests per hour for standard tier, 10000 for premium.",
                        )
                    ],
                    citations={"enabled": True},
                ),
                SearchResultBlockParam(
                    type="search_result",
                    source="https://docs.company.com/quickstart",
                    title="Getting Started Guide",
                    content=[
                        TextBlockParam(
                            type="text",
                            text="To get started: 1) Sign up for an account, 2) Generate an API key from the dashboard, 3) Install our SDK using pip install company-sdk, 4) Initialize the client with your API key.",
                        )
                    ],
                    citations={"enabled": True},
                ),
                TextBlockParam(
                    type="text",
                    text="Based on these search results, how do I authenticate API requests and what are the rate limits?",
                ),
            ],
        )
    ],
)

print(response)

from anthropic.types import (
    MessageParam,
    SearchResultBlockParam,
    TextBlockParam,
    ToolResultBlockParam,
    ToolUseBlockParam,
)

client = Anthropic()

knowledge_base_tool = {
    "name": "search_knowledge_base",
    "description": "Search the company knowledge base for information",
    "input_schema": {
        "type": "object",
        "properties": {"query": {"type": "string", "description": "The search query"}},
        "required": ["query"],
    },
}

# Spiele eine Konversation ab, die Suchergebnisse auf beide Arten liefert: Die erste
# Nutzernachricht enthält ein vorab abgerufenes Ergebnis, das Tool-Ergebnis liefert ein weiteres
response = client.messages.create(
    model="claude-opus-5-5",
    max_tokens=1024,
    tools=[knowledge_base_tool],
    messages=[
        MessageParam(
            role="user",
            content=[
                SearchResultBlockParam(
                    type="search_result",
                    source="https://docs.company.com/overview",
                    title="Product Overview",
                    content=[
                        TextBlockParam(
                            type="text",
                            text="Acme Dashboard is a monitoring tool for distributed systems. It supports real-time alerting and custom metric dashboards.",
                        )
                    ],
                    citations={"enabled": True},
                ),
                TextBlockParam(
                    type="text",
                    text="What does Acme Dashboard do, and what plans is it available on?",
                ),
            ],
        ),
        MessageParam(
            role="assistant",
            content=[
                TextBlockParam(
                    type="text", text="Let me check the pricing information."
                ),
                ToolUseBlockParam(
                    type="tool_use",
                    id="toolu_01A09q90qw90lq917835lq9",
                    name="search_knowledge_base",
                    input={"query": "Acme Dashboard pricing plans"},
                ),
            ],
        ),
        MessageParam(
            role="user",
            content=[
                ToolResultBlockParam(
                    type="tool_result",
                    tool_use_id="toolu_01A09q90qw90lq917835lq9",
                    content=[
                        SearchResultBlockParam(
                            type="search_result",
                            source="https://docs.company.com/pricing",
                            title="Pricing Plans",
                            content=[
                                TextBlockParam(
                                    type="text",
                                    text="Acme Dashboard is available on the Starter plan at $10 per user per month and the Enterprise plan with custom pricing.",
                                )
                            ],
                            citations={"enabled": True},
                        )
                    ],
                )
            ],
        ),
    ],
)

print(response)