AnthropicModel

Environment variables: ANTHROPIC_API_KEY, ANTHROPIC_MODEL_NAME

import os
from elsai_model.anthropic import AnthropicModel

model = AnthropicModel(
    model_id=os.getenv("ANTHROPIC_MODEL_NAME", "claude-3-5-sonnet-latest"),
    max_tokens=256,
    client_args={"api_key": os.environ["ANTHROPIC_API_KEY"]},
    params={"temperature": 0.2},
)
messages = [{"role": "user", "content": "Say hello in one short sentence."}]

response = model.invoke(messages)
print(response["content"][0]["text"])

for chunk in model.stream_text(messages):
    print(chunk, end="", flush=True)

Or via the factory (max_tokens required):

from elsai_model import LLM, Provider

model = LLM(
    provider=Provider.ANTHROPIC,
    model=os.getenv("ANTHROPIC_MODEL_NAME", "claude-3-5-sonnet-latest"),
    api_key=os.environ["ANTHROPIC_API_KEY"],
    max_tokens=1024,
    params={"temperature": 0.2},
)

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See also

• LLM Models overview — install, extras, factory
• LLM factory