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Closes #67 ## Summary Implements transparent inference interception and routing for sandboxed AI agents. The sandbox proxy intercepts outbound AI SDK calls (OpenAI, Anthropic) and reroutes them through the gateway to policy-controlled backends — enabling organizations to redirect inference traffic to local or self-hosted models without modifying agent code. **Decision model** — a tri-state OPA evaluation for every CONNECT request: 1. Binary + endpoint explicitly allowed in `network_policies` → **allow** (pass through) 2. Not explicitly allowed + `inference.allowed_routes` configured → **inspect for inference** (TLS intercept, detect API patterns, route through gateway) 3. Otherwise → **deny** No endpoint declarations or binary lists needed for inference routing. Just configure `inference.allowed_routes`. ## Key Changes ### Sandbox (interception) - **OPA policy**: New `network_action` Rego rule with three outcomes (`allow`, `inspect_for_inference`, `deny`). New `NetworkAction` enum replaces `PolicyDecision.allowed` bool for the proxy's main decision path. - **Proxy**: New `InspectForInference` path — TLS-terminates client, parses HTTP, detects inference API patterns (`POST /v1/chat/completions`, `/v1/completions`, `/v1/messages`), strips auth headers, forwards via gRPC. - **New module**: `l7/inference.rs` — `InferenceApiPattern`, `detect_inference_pattern()`, HTTP request/response parsing. - **gRPC client**: New `proxy_inference()` for sandbox→gateway forwarding. - **Sandbox init**: Creates OPA engine when inference is configured, even without `network_policies`. ### Gateway (dispatch) - **InferenceService**: `ProxyInference` RPC loads sandbox policy, resolves allowed routes, dispatches to router. Full CRUD for inference routes. - **Proto**: `InferenceRoute`, `InferenceRouteSpec`, `ProxyInferenceRequest/Response`, Inference gRPC service. ### Router (backend proxying) - **New crate**: `navigator-router` with `Router`, `proxy_with_candidates()`, protocol-based route selection, backend HTTP proxying with auth header rewriting. - **Mock support** for testing (`mock://` scheme). ### CLI - `nav inference create/update/delete/list` commands for route management. ### Python SDK - Updated protobuf bindings. Removed old `inference.py` client (replaced by transparent interception). ### Documentation - New `architecture/inference-routing.md` — end-to-end system documentation. - Updated `architecture/sandbox.md` — proxy, OPA, and source index sections. - Updated `architecture/README.md` — new subsystem overview and diagram. ## Addendum: Chunked Transfer Compatibility This branch now also fixes intercepted SDK requests that send chunked request bodies: - `inspect_for_inference` now accepts `Transfer-Encoding: chunked` and decodes chunked request bodies before forwarding to the gateway - Removed the prior `411 Length Required` response for chunked intercepted requests - Added request/response header sanitization for framing and hop-by-hop headers (`content-length`, `transfer-encoding`, `connection`, etc.) to keep forwarded requests and returned responses valid - Added unit tests for chunked parsing and header sanitization Note: this improves compatibility for streaming-style SDK request patterns; true token-by-token passthrough response streaming is still a separate follow-up. ## Minimal Policy for Inference Routing ```yaml inference: allowed_routes: - local ``` Any outgoing connection from a binary not explicitly allowed in `network_policies` will be intercepted and checked for inference API patterns. ## Test Plan - [x] `cargo test --workspace` — all tests pass - [x] `mise run pre-commit` — all checks pass - [x] E2E: OpenAI chat completions routed through gateway - [x] E2E: Anthropic messages routed through gateway - [x] E2E: Python OpenAI SDK from sandbox (`examples/inference/inference.py`) - [x] E2E test: `e2e/python/test_inference_routing.py`
214 lines
7.1 KiB
Python
214 lines
7.1 KiB
Python
"""E2e tests for provider credential injection into sandboxes.
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Provider credentials are fetched at runtime by the sandbox supervisor via the
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GetSandboxProviderEnvironment gRPC call. They should appear as environment
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variables inside the sandbox process, but must NOT be present in the persisted
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sandbox spec's environment map (they are never baked into the K8s pod spec).
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"""
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from __future__ import annotations
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from contextlib import contextmanager
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from typing import TYPE_CHECKING
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import grpc
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import pytest
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from navigator._proto import datamodel_pb2, navigator_pb2, sandbox_pb2
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if TYPE_CHECKING:
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from collections.abc import Callable, Iterator
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from navigator import Sandbox, SandboxClient
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def _default_policy() -> sandbox_pb2.SandboxPolicy:
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return sandbox_pb2.SandboxPolicy(
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version=1,
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inference=sandbox_pb2.InferencePolicy(allowed_routes=["local"]),
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filesystem=sandbox_pb2.FilesystemPolicy(
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include_workdir=True,
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read_only=["/usr", "/lib", "/etc", "/app"],
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read_write=["/sandbox", "/tmp"],
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),
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landlock=sandbox_pb2.LandlockPolicy(compatibility="best_effort"),
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process=sandbox_pb2.ProcessPolicy(
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run_as_user="sandbox", run_as_group="sandbox"
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),
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)
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@contextmanager
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def provider(
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stub: object,
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*,
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name: str,
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provider_type: str,
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credentials: dict[str, str],
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) -> Iterator[str]:
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"""Create a provider for the duration of the block, then delete it."""
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# Clean up any leftover from a previous run.
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_delete_provider(stub, name)
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stub.CreateProvider(
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navigator_pb2.CreateProviderRequest(
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provider=datamodel_pb2.Provider(
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name=name,
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type=provider_type,
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credentials=credentials,
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)
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)
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)
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try:
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yield name
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finally:
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_delete_provider(stub, name)
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def _delete_provider(stub: object, name: str) -> None:
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"""Delete a provider, ignoring not-found errors."""
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try:
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stub.DeleteProvider(navigator_pb2.DeleteProviderRequest(name=name))
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except grpc.RpcError as exc:
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if hasattr(exc, "code") and exc.code() == grpc.StatusCode.NOT_FOUND:
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pass
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else:
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raise
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# TODO: Once the sandbox supervisor sets provider credentials (rather than the
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# server injecting them via exec environment), these tests will no longer be
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# able to read credential values directly. Update the assertions to verify
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# that the env vars are *present* (e.g. non-empty) without checking exact
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# values, since the supervisor will be the sole source of truth.
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def test_provider_credentials_available_as_env_vars(
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sandbox: Callable[..., Sandbox],
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sandbox_client: SandboxClient,
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) -> None:
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"""Sandbox process can read provider credentials as environment variables."""
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with provider(
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sandbox_client._stub,
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name="e2e-test-provider-env",
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provider_type="claude",
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credentials={"ANTHROPIC_API_KEY": "sk-e2e-test-key-12345"},
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) as provider_name:
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spec = datamodel_pb2.SandboxSpec(
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policy=_default_policy(),
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providers=[provider_name],
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)
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def read_env_var() -> str:
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import os
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return os.environ.get("ANTHROPIC_API_KEY", "NOT_SET")
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with sandbox(spec=spec, delete_on_exit=True) as sb:
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result = sb.exec_python(read_env_var)
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assert result.exit_code == 0, result.stderr
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assert result.stdout.strip() == "sk-e2e-test-key-12345"
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def test_generic_provider_credentials_available_as_env_vars(
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sandbox: Callable[..., Sandbox],
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sandbox_client: SandboxClient,
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) -> None:
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"""Generic provider credentials are injected as arbitrary sandbox env vars."""
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with provider(
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sandbox_client._stub,
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name="e2e-test-generic-provider-env",
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provider_type="generic",
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credentials={
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"CUSTOM_SERVICE_TOKEN": "token-generic-123",
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"CUSTOM_SERVICE_URL": "https://internal.example.test/api",
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},
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) as provider_name:
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spec = datamodel_pb2.SandboxSpec(
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policy=_default_policy(),
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providers=[provider_name],
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)
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def read_generic_env_vars() -> str:
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import os
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token = os.environ.get("CUSTOM_SERVICE_TOKEN", "NOT_SET")
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url = os.environ.get("CUSTOM_SERVICE_URL", "NOT_SET")
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return f"{token}|{url}"
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with sandbox(spec=spec, delete_on_exit=True) as sb:
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result = sb.exec_python(read_generic_env_vars)
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assert result.exit_code == 0, result.stderr
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assert (
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result.stdout.strip()
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== "token-generic-123|https://internal.example.test/api"
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)
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def test_nvidia_provider_injects_nvidia_api_key_env_var(
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sandbox: Callable[..., Sandbox],
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sandbox_client: SandboxClient,
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) -> None:
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"""NVIDIA provider projects NVIDIA_API_KEY into sandbox process env."""
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with provider(
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sandbox_client._stub,
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name="e2e-test-nvidia-provider-env",
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provider_type="nvidia",
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credentials={"NVIDIA_API_KEY": "nvapi-e2e-test-key"},
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) as provider_name:
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spec = datamodel_pb2.SandboxSpec(
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policy=_default_policy(),
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providers=[provider_name],
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)
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def read_nvidia_key() -> str:
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import os
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return os.environ.get("NVIDIA_API_KEY", "NOT_SET")
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with sandbox(spec=spec, delete_on_exit=True) as sb:
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result = sb.exec_python(read_nvidia_key)
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assert result.exit_code == 0, result.stderr
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assert result.stdout.strip() == "nvapi-e2e-test-key"
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def test_create_sandbox_rejects_unknown_provider(
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sandbox_client: SandboxClient,
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) -> None:
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"""CreateSandbox fails fast when a provider name does not exist."""
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spec = datamodel_pb2.SandboxSpec(
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policy=_default_policy(),
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providers=["nonexistent-provider-xyz"],
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)
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with pytest.raises(grpc.RpcError) as exc_info:
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sandbox_client.create(spec=spec)
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assert exc_info.value.code() == grpc.StatusCode.FAILED_PRECONDITION
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assert "nonexistent-provider-xyz" in exc_info.value.details()
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def test_credentials_not_in_persisted_spec_environment(
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sandbox: Callable[..., Sandbox],
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sandbox_client: SandboxClient,
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) -> None:
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"""Provider credentials should NOT appear in the sandbox spec's environment map."""
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with provider(
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sandbox_client._stub,
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name="e2e-test-no-persist",
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provider_type="claude",
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credentials={"ANTHROPIC_API_KEY": "sk-should-not-persist"},
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) as provider_name:
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spec = datamodel_pb2.SandboxSpec(
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policy=_default_policy(),
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providers=[provider_name],
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)
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with sandbox(spec=spec, delete_on_exit=True) as sb:
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# Fetch the sandbox record from the server and inspect spec.environment.
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fetched = sandbox_client._stub.GetSandbox(
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navigator_pb2.GetSandboxRequest(name=sb.sandbox.name)
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)
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persisted_env = dict(fetched.sandbox.spec.environment)
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assert "ANTHROPIC_API_KEY" not in persisted_env, (
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"credentials should not be persisted in sandbox spec environment"
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)
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