sentinos (Python SDK)
High-level Python SDK for Sentinos. Use it to connect agent workloads to governed execution, policy-backed decisions, trace forensics, and Chronos context with one environment-driven client.
If you want the lower-level generated API client instead, install sentinos-sdk-core. Most users should start with sentinos.
Install
pip install sentinos
Optional extras:
pip install "sentinos[providers]" # OpenAI, Anthropic, and Bedrock helpers
pip install "sentinos[otel]" # OpenTelemetry helpers
pip install "sentinos[langchain]" # LangChain adapters
pip install "sentinos[grpc]" # Native gRPC example support
Start here
Set the standard environment variables once:
export SENTINOS_BASE_URL="https://api.sentinos.ai"
export SENTINOS_ORG_ID="<org-id>"
export SENTINOS_ACCESS_TOKEN="<access-token>"
Then create the client and make a governed call:
from sentinos import SentinosClient
client = SentinosClient.from_env()
trace = client.kernel.execute(
agent_id="assistant-1",
session_id="sess-1",
intent={"type": "tool_call", "tool": "example.tool", "args": {"x": 1}},
)
print(trace.decision, trace.trace_id)
If you host services separately, override SENTINOS_KERNEL_URL, SENTINOS_ARBITER_URL, or SENTINOS_CHRONOS_URL instead of switching constructors.
Common workflows
- Govern direct provider calls with
LLMGuard - Replay and export trace evidence for audits
- Simulate Arbiter policy changes before rollout
- Pull Chronos snapshots for context-aware investigation
LLMGuard example
from sentinos import LLMGuard, SentinosClient
client = SentinosClient.from_env()
guard = LLMGuard(kernel=client.kernel, agent_id="assistant-1", session_id="sess-42")
result = guard.run(
provider="openai",
operation="chat.completions",
model="gpt-4o-mini",
request={"messages": [{"role": "user", "content": "Summarize the incident."}]},
invoke=lambda: {"id": "resp-1", "model": "gpt-4o-mini"},
)
print(result.trace.trace_id, result.trace.decision)
Trace replay example
from sentinos import SentinosClient
client = SentinosClient.from_env()
replay = client.traces.replay_trace(
"11111111-1111-1111-1111-111111111111",
request={"include_explain": True},
)
print(replay.decision, replay.fidelity)
Enterprise auth
Workforce token exchange is available when you need employee-scoped access:
from sentinos import SentinosClient, WorkforceAssertion, WorkforceTokenProvider
from sentinos.auth.jwt import JWTAuth
workforce_provider = WorkforceTokenProvider.from_env(
assertion_provider=lambda: WorkforceAssertion(
external_subject="employee-123",
email="employee@enterprise.example",
groups=["ai-users"],
)
)
client = SentinosClient.from_env(auth=JWTAuth(workforce_provider))
Docs & examples
Included example files:
examples/quickstart.pyexamples/auth_api_key.pyexamples/protocols/grpc_execute_smoke.pydocs/cookbooks/quickstart.mddocs/cookbooks/chronos_snapshots.mddocs/cookbooks/policy_simulation.md
Release files for sentinos 0.1.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sentinos-0.1.10.tar.gz | 1.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sentinos-0.1.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / sentinos-0.1.10.tar.gz
| Download URL | sentinos-0.1.10.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | sentinos-0.1.10-py3-none-any.whl |
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| Size | 78.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
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|
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