callspec
Contract testing for LLM tool calls.
pip install callspec
from callspec import Callspec, ToolCall, ToolCallTrajectory
from callspec.providers.mock import MockProvider
provider = MockProvider(
response_fn=lambda p, m: "Booked flight",
tool_calls=[
{"name": "search_flights", "arguments": {"origin": "SFO", "dest": "JFK"}},
{"name": "book_flight", "arguments": {"flight_id": "UA123"}},
],
)
v = Callspec(provider)
response = provider.call("Book me a flight from SFO to JFK")
trajectory = ToolCallTrajectory.from_provider_response(response)
result = (
v.assert_trajectory(trajectory)
.calls_tools_in_order(["search_flights", "book_flight"])
.does_not_call("cancel_flight")
.argument_not_empty("search_flights", "origin")
.run()
)
assert result.passed
Your agent calls tools. Those calls are the contract between your code and the model. When you swap models, update a prompt, or change your retrieval pipeline, callspec tells you whether the agent still calls the right tools, in the right order, with the right arguments. No LLM-as-judge. No API calls for evaluation. Deterministic pass/fail that runs in CI.
Docs
License
Apache 2.0
1 maintainer
Metadata
1 maintainer
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