tappass 0.9.0

TapPass SDK — Zero Trust AI Agent Platform. Cryptographic capability tokens, governance pipeline, agent trust scoring.

tappass — Zero Trust Control Plane for Agentic AI (Python SDK)

Runtime governance for your LLM, agent, and tool calls. Embed in your code, get a typed audit trail, surface governance decisions as Python exceptions.

What this SDK is for:

• Governing LLM calls, agent runs, and tool executions at runtime.
• Emitting structured audit events with correlation IDs.
• Handling governance decisions (block, redact, approve, trust-tier, break-glass) as typed exceptions in your code.

What this SDK is NOT for:

• Policy CRUD, compliance report generation, Verified credential issuance, retention config, break-glass invocation, tool-integrity approval. Those live in the TapPass dashboard — not in your agent code.

Requirements

• Python ≥ 3.11.
• tappass server ≥ 0.6.0. (The SDK rejects older servers at construction time.)

Install

pip install tappass

Quickstart — a governed chat call

from tappass import Agent

agent = Agent("https://tappass.example.com", api_key="tp_...")
r = agent.chat("Summarize Q4 revenue")
print(r.content)
print(r.session_id, r.audit_url)   # correlation IDs, deep link to dashboard

Quickstart — govern a CrewAI run

from crewai import Agent, Task, Crew
from tappass.integrations.crewai import guard_crew

crew = Crew(agents=[...], tasks=[...])

with guard_crew(crew, tappass_url="https://tappass.example.com", api_key="tp_...") as session:
    result = session.kickoff()
    print(session.id, session.audit_url)

Decisions are typed exceptions

from tappass import GovernanceDecision, PolicyBlockError, ApprovalRequired

try:
    r = agent.chat("Show me all customer SSNs")
except PolicyBlockError as e:
    print(f"Blocked by {e.blocked_by}: {e.reason}. See {e.audit_url}")
except ApprovalRequired as e:
    print(f"Awaiting approval: {e.approval_url}")
except GovernanceDecision as e:
    print(f"Governance decision: {e}")

What's new in 0.6

See CHANGELOG.md. Breaking changes — no back-compat with 0.5.x. See the migration guide.

Publishing a release

Releases ship to PyPI via GitHub Actions using OIDC Trusted Publishing — no long-lived API token is stored anywhere. The workflow is .github/workflows/release.yml.

One-time PyPI configuration

Only needed once per project (or whenever the workflow name / environment changes):

1. Log in to https://pypi.org/manage/account/publishing/.
2. Under Add a new pending publisher (if the project isn't on PyPI yet) or the existing project's Publishing tab, add a GitHub publisher with:
   • PyPI Project Name: tappass
   • Owner: tappass
   • Repository name: tappass-sdk
   • Workflow name: release.yml
   • Environment name: pypi
3. In the GitHub repo, go to Settings → Environments and create an environment named pypi. Optionally add a required-reviewers protection rule so a human approves each release.

That's it — no secrets, no tokens.

Cutting a release

1. Bump version in pyproject.toml (and __version__ in tappass/__init__.py).
2. Update CHANGELOG.md: flip ## [X.Y.Z] — Unreleased to ## [X.Y.Z] — YYYY-MM-DD.
3. Commit: git commit -am "release: X.Y.Z".
4. Tag and push:

   git tag vX.Y.Z
   git push origin main --tags
   

The workflow then:

1. Verifies the tag matches pyproject.toml version (fails the release if not).
2. Builds wheel + sdist.
3. Runs twine check.
4. Publishes to PyPI via OIDC.
5. Creates a GitHub Release with the wheel + sdist attached and auto-generated notes.

Dry run

To build the artifacts without publishing, use Actions → Release to PyPI → Run workflow with dry_run checked. The publish and github_release jobs are skipped; the build job's artifacts are retained for inspection.

License

Apache-2.0. See LICENSE.