digline-anthropic
An Anthropic target for
digline: a prompt file goes in, a priced
Response comes out.
from pathlib import Path
from digline_anthropic import AnthropicTarget
target = AnthropicTarget(
prompt_file=Path(__file__).parent / "prompts/answer.md",
system_file=Path(__file__).parent / "prompts/system.md",
model="claude-sonnet-5",
max_tokens=1024,
prefill="{", # put JSON in the model's mouth
)
Both files are recorded in every run, so the committed baseline carries the
prompt that produced it. Cost comes from a price list declared in code and
replaceable in one argument; an unknown model raises rather than costing
nothing. The key is never named here — the SDK reads ANTHROPIC_API_KEY.
Apache-2.0. Docs: digline/digline.
1 maintainer
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