drawbore 0.9.0

Constrained, composable agents that hold by construction — a safety-first SDK for high-stakes, deterministic agent workflows.

Drawbore

Composable agents that hold by construction.

Drawbore is a Python SDK for building constrained, composable agent pipelines with safety guarantees baked in as architecture — for high-stakes, deterministic workflows in fintech, healthcare, legal, compliance, and beyond.

The thesis: capability is a liability in high-stakes workflows; constraint is the feature. You compose tightly scoped, typed, schema-enforced, audit-logged agents; the framework enforces the contracts and you write the business logic.

Install

pip install drawbore            # core
pip install "drawbore[mcp]"     # + MCP server tools
pip install "drawbore[otlp]"    # + OTLP span export

Sixty seconds

from pydantic import BaseModel
from drawbore import agent, Pipeline

class Payment(BaseModel):
    cents: int

class Normalized(BaseModel):
    dollars: float

@agent(name="normalize", input=Payment, output=Normalized)
async def normalize(p: Payment) -> Normalized:
    return Normalized(dollars=p.cents / 100)

pipeline = Pipeline(name="payments", version="1.0.0")
pipeline.add(normalize)

async def main():
    async with pipeline.test_mode() as tp:
        result = await tp.run(Payment(cents=2500))
    assert result.status == "completed"
    print(result.audit_trace.legible())   # a regulator-readable run record

Every step is schema-checked at both edges. Every tool call passes through a proxy with a single-use permission token. Every run produces a legible audit record. None of it is configurable off.

What the framework guarantees

• Typed contracts at every edge — Pydantic-validated inputs and outputs; a wrong shape halts the run with a readable reason, it never propagates.
• Least-privilege tools — agents call only the tools they declared, through one audited chokepoint, with single-use scoped tokens and circuit breakers.
• Halt-and-escalate by default — failures stop the pipeline and produce an escalation package a human can read; there is no silent degradation.
• Audit as a side effect — result.audit_trace.legible() renders what ran, what was called, and why it stopped, with no tracing setup.
• Test mode with the real safety layer — pipeline.test_mode(...) mocks the outside world (models, tools, MCP) while every control runs for real.

Learn more

• Quickstart — install to first run.
• Guides — pipelines, tools, model-backed agents, escalation, testing, observability.
• Examples — runnable, tested pipelines from tiny to high-stakes.

License

MIT