Anthropic

pip install valiqor[anthropic]

import valiqor.auto  # ← Add this line

import anthropic

client = anthropic.Anthropic()
message = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)
print(message.content[0].text)

from valiqor.trace import anthropic_autolog

anthropic_autolog()

# Or using the namespace-style API:
from valiqor.trace import Anthropic
Anthropic.autolog()

import valiqor.auto
import anthropic

client = anthropic.AsyncAnthropic()

async def main():
    message = await client.messages.create(
        model="claude-sonnet-4-20250514",
        max_tokens=1024,
        messages=[{"role": "user", "content": "Explain quantum computing"}]
    )
    print(message.content[0].text)

import valiqor.auto
import anthropic

client = anthropic.Anthropic()

# Multi-block content is handled automatically
message = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Summarize this document"},
                {"type": "text", "text": "Document content here..."}
            ]
        }
    ]
)

import valiqor.auto
from valiqor.trace import trace_workflow
import anthropic

client = anthropic.Anthropic()

with trace_workflow("claude-assistant"):
    # Step 1: Analyze
    analysis = client.messages.create(
        model="claude-sonnet-4-20250514",
        max_tokens=1024,
        messages=[{"role": "user", "content": "Analyze this data: [...]"}]
    )

    # Step 2: Summarize
    summary = client.messages.create(
        model="claude-sonnet-4-20250514",
        max_tokens=512,
        messages=[
            {"role": "user", "content": f"Summarize: {analysis.content[0].text}"}
        ]
    )

from valiqor.trace import disable_autolog

disable_autolog("anthropic")    # Disable Anthropic only
disable_autolog()               # Disable all providers