jammi-ai-platform 0.3.0

Python SDK for Jammi AI Platform — the commercial managed audit-native AI platform

jammi-ai-platform

Python SDK for the Jammi AI Platform — the commercial managed audit-native AI platform. Talks to a Jammi SaaS endpoint via gRPC with bearer-token authentication.

Install

pip install jammi-ai-platform

Wheel-only distribution. Python 3.9+ on Linux / macOS / Windows.

Quickstart

import jammi_ai_platform as jap

with jap.Connection(url="https://api.jammi.cloud", api_key="jt_…") as conn:
    print(conn.tenant_id)         # resolved via WhoAmI at connect time
    print(conn.token_label)       # label of the bearer in use

    registry = jap.Registry(conn)
    model_id = registry.register_model("recall-q4", task="embedding")
    print(model_id)

Use http://… instead of https://… for local insecure development.

Surface

• Connection — gRPC channel + bearer auth, calls WhoAmI at connect
• Registry — model + version + evidence catalog
• Gate — quality-gate checks
• Monitor — embedding / inference / divergence monitors + run streaming
• Experiment — Bayesian / Grid / Random experiments
• DeploymentBlocks — block / unblock sources from production traffic
• Resilience — perturbation-based validation runs
• Auth — issue / revoke / list API keys; WhoAmI
• Tenants — read-only tenant directory lookup

Errors

status_to_exception (in jammi_ai_platform.errors) maps every gRPC status code to a typed Python exception. The hierarchy:

• EnterpriseException
  • NotFoundError
  • AlreadyExistsError
  • TransitionNotAllowedError
  • TenantUnboundError
  • ConfigError
  • PermissionDeniedError

Docs

Full docs at https://docs.jammi.cloud.