feat(azure-foundry): add Microsoft Entra ID auth

Use azure-identity DefaultAzureCredential for keyless Foundry auth.

Preserve refreshable callable credentials through OpenAI and Anthropic client paths.

Add setup, doctor, auth status, docs, and tests for Entra auth.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

tests/agent/test_anthropic_adapter.py

@@ -9,6 +9,7 @@ import pytest
 
 from agent.prompt_caching import apply_anthropic_cache_control
 from agent.anthropic_adapter import (
+    _is_azure_anthropic_endpoint,
     _is_oauth_token,
     _refresh_oauth_token,
     _to_plain_data,
@@ -121,6 +122,20 @@ class TestBuildAnthropicClient:
             betas = kwargs["default_headers"]["anthropic-beta"]
             assert "context-1m-2025-08-07" in betas
 
+    def test_azure_anthropic_endpoint_detection_is_host_and_path_scoped(self):
+        assert _is_azure_anthropic_endpoint(
+            "https://example.services.ai.azure.com/models/anthropic"
+        ) is True
+        assert _is_azure_anthropic_endpoint(
+            "https://example.services.ai.azure.us/anthropic"
+        ) is True
+        assert _is_azure_anthropic_endpoint(
+            "https://example.openai.azure.com/openai/v1"
+        ) is False
+        assert _is_azure_anthropic_endpoint(
+            "https://management.azure.com/anthropic"
+        ) is False
+
     def test_bedrock_client_keeps_context_1m_beta(self):
         with patch("agent.anthropic_adapter._anthropic_sdk") as mock_sdk:
             mock_sdk.AnthropicBedrock = MagicMock()

tests/agent/test_auxiliary_client_azure_foundry.py

@@ -0,0 +1,350 @@
+"""Tests for auxiliary client routing of the ``azure-foundry`` provider.
+
+Covers the dedicated branch in ``agent.auxiliary_client.resolve_provider_client``
+that delegates to :func:`hermes_cli.runtime_provider._resolve_azure_foundry_runtime`
+instead of falling into the generic ``resolve_api_key_provider_credentials``
+path (which only knows about ``AZURE_FOUNDRY_API_KEY`` and would 401 for
+Entra ID users and miss ``model.base_url`` overrides for api-key users
+with non-standard Foundry-projects endpoints).
+
+Pinned scenarios:
+
+  * ``auth_mode: api_key`` → plain OpenAI client with the static string
+    key for ``chat_completions``.
+  * ``auth_mode: entra_id`` + ``chat_completions`` → plain OpenAI
+    client with a callable ``api_key`` (the bearer-token provider) —
+    confirms the callable survives the auxiliary path end-to-end.
+  * ``auth_mode: entra_id`` + GPT-5.x model → CodexAuxiliaryClient
+    wrapping the OpenAI client (api_mode auto-upgrades to
+    codex_responses).
+  * Anthropic-style + entra_id → rejected at the runtime resolver,
+    so the aux path returns ``(None, None)``.
+  * Failure path when no model is configured returns ``(None, None)``
+    cleanly so the auto chain falls through.
+"""
+
+from __future__ import annotations
+
+import sys
+from types import SimpleNamespace
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+
+@pytest.fixture(autouse=True)
+def _reset_credential_cache():
+    from agent.azure_identity_adapter import reset_credential_cache
+    reset_credential_cache()
+    yield
+    reset_credential_cache()
+
+
+@pytest.fixture
+def fake_azure_identity(monkeypatch):
+    """Stand-in for azure.identity (keeps CI hermetic when the SDK is
+    not installed)."""
+    from agent import azure_identity_adapter as _adapter
+
+    last = {"scope": None}
+
+    def _provider(scope):
+        return lambda: f"jwt-for-{scope}"
+
+    fake_module = SimpleNamespace(
+        DefaultAzureCredential=lambda **kw: SimpleNamespace(
+            kwargs=kw,
+            get_token=lambda scope: SimpleNamespace(token="fake", expires_on=9999999999),
+        ),
+        get_bearer_token_provider=lambda credential, scope: (
+            last.__setitem__("scope", scope),
+            _provider(scope),
+        )[-1],
+    )
+    monkeypatch.setattr(_adapter, "_require_azure_identity", lambda: fake_module)
+    monkeypatch.setitem(sys.modules, "azure.identity", fake_module)
+    return last
+
+
+@pytest.fixture
+def patch_load_config(monkeypatch):
+    """Helper to set model_cfg seen by _try_azure_foundry."""
+    def _apply(model_cfg):
+        monkeypatch.setattr(
+            "hermes_cli.config.load_config",
+            lambda: {"model": model_cfg},
+        )
+    return _apply
+
+
+# ---------------------------------------------------------------------------
+# auth_mode: api_key (default) — regression for the legacy path
+# ---------------------------------------------------------------------------
+
+
+class TestAuxAzureFoundryApiKey:
+    def test_chat_completions_returns_plain_openai_client(self, monkeypatch, patch_load_config):
+        from agent.auxiliary_client import _try_azure_foundry
+        from openai import OpenAI as _OpenAI
+
+        monkeypatch.setenv("AZURE_FOUNDRY_API_KEY", "sk-azure-static-key")
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            "default": "gpt-4o",
+        })
+        client, resolved = _try_azure_foundry(model="gpt-4o")
+        assert client is not None
+        assert resolved == "gpt-4o"
+        assert isinstance(client, _OpenAI)
+        assert client.api_key == "sk-azure-static-key"
+
+    def test_codex_responses_wraps_in_codex_aux_client(self, monkeypatch, patch_load_config):
+        from agent.auxiliary_client import _try_azure_foundry, CodexAuxiliaryClient
+
+        monkeypatch.setenv("AZURE_FOUNDRY_API_KEY", "sk-azure-static-key")
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            "default": "gpt-5.4-mini",
+        })
+        # GPT-5.x → runtime auto-upgrades to codex_responses
+        client, resolved = _try_azure_foundry(model="gpt-5.4-mini")
+        assert resolved == "gpt-5.4-mini"
+        assert isinstance(client, CodexAuxiliaryClient)
+        assert client.api_key == "sk-azure-static-key"
+
+    def test_no_key_returns_none(self, monkeypatch, patch_load_config):
+        from agent.auxiliary_client import _try_azure_foundry
+
+        monkeypatch.delenv("AZURE_FOUNDRY_API_KEY", raising=False)
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            "default": "gpt-4o",
+        })
+        client, resolved = _try_azure_foundry(model="gpt-4o")
+        assert client is None
+        assert resolved is None
+
+    def test_no_model_returns_none(self, monkeypatch, patch_load_config):
+        """Azure has no fallback aux model — fail soft so the auto chain
+        can try other providers."""
+        from agent.auxiliary_client import _try_azure_foundry
+
+        monkeypatch.setenv("AZURE_FOUNDRY_API_KEY", "sk-azure-static-key")
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            # No default model
+        })
+        client, resolved = _try_azure_foundry()
+        assert client is None
+        assert resolved is None
+
+
+# ---------------------------------------------------------------------------
+# auth_mode: entra_id — callable api_key survives end-to-end
+# ---------------------------------------------------------------------------
+
+
+class TestAuxAzureFoundryEntra:
+    def test_callable_api_key_reaches_openai_constructor(
+        self, monkeypatch, fake_azure_identity, patch_load_config,
+    ):
+        """The token provider callable must arrive at ``OpenAI(api_key=...)``
+        intact — never stringified to ``"no-key-required"`` or to the
+        SDK-internal empty-string representation BEFORE we hand it off.
+
+        We assert on the public SDK contract (constructor receives the
+        callable) rather than ``client.api_key``, because OpenAI 2.24.0
+        stores callable api_keys in a private attribute and exposes
+        ``client.api_key`` as ``""``. The SDK still calls the callable
+        per request to mint ``Authorization: Bearer <token>``; that
+        behaviour is the documented Microsoft/OpenAI contract we rely on.
+        """
+        from agent import auxiliary_client as _aux
+
+        received = {}
+
+        class _FakeOpenAI:
+            def __init__(self, **kwargs):
+                received.update(kwargs)
+                # Mirror the fields downstream callers read.
+                self.api_key = kwargs.get("api_key", "")
+                self.base_url = kwargs.get("base_url", "")
+
+        monkeypatch.setattr(_aux, "OpenAI", _FakeOpenAI)
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            "auth_mode": "entra_id",
+            "default": "gpt-4o",
+        })
+        client, resolved = _aux._try_azure_foundry(model="gpt-4o")
+        assert client is not None
+        assert resolved == "gpt-4o"
+        # Public-contract assertion: the OpenAI SDK constructor saw the
+        # callable, exactly as Microsoft's Foundry sample requires.
+        assert callable(received["api_key"])
+        assert not isinstance(received["api_key"], str)
+        assert received["api_key"]().startswith("jwt-for-")
+        # Base URL forwarded verbatim (no /responses suffix stripping
+        # in this path — that's a separate concern handled by the
+        # runtime resolver only when the user re-saves config).
+        assert received["base_url"] == "https://r.openai.azure.com/openai/v1"
+
+    def test_codex_responses_with_entra_wraps_correctly(
+        self, monkeypatch, fake_azure_identity, patch_load_config,
+    ):
+        """GPT-5.x deployment on Entra ID — auto-upgraded to
+        codex_responses, wrapped in CodexAuxiliaryClient, callable
+        api_key handed to the underlying OpenAI SDK."""
+        from agent import auxiliary_client as _aux
+
+        received = {}
+
+        class _FakeOpenAI:
+            def __init__(self, **kwargs):
+                received.update(kwargs)
+                self.api_key = kwargs.get("api_key", "")
+                self.base_url = kwargs.get("base_url", "")
+
+        monkeypatch.setattr(_aux, "OpenAI", _FakeOpenAI)
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            "auth_mode": "entra_id",
+            "default": "gpt-5.4-mini",
+        })
+        client, resolved = _aux._try_azure_foundry(model="gpt-5.4-mini")
+        assert resolved == "gpt-5.4-mini"
+        assert isinstance(client, _aux.CodexAuxiliaryClient)
+        # The Codex wrapper received an OpenAI client built with the
+        # callable api_key — verify against the SDK constructor record,
+        # not the wrapper attribute (which mirrors the SDK's empty-
+        # string representation).
+        assert callable(received["api_key"])
+        assert received["api_key"]().startswith("jwt-for-")
+
+    def test_entra_anthropic_messages_uses_bearer_hook(
+        self, monkeypatch, fake_azure_identity, patch_load_config,
+    ):
+        """Entra ID + anthropic_messages: runtime returns a callable
+        api_key; ``_maybe_wrap_anthropic`` → ``build_anthropic_client``
+        detects the callable and installs the bearer-injecting httpx
+        event hook on a custom ``httpx.Client`` passed to the
+        Anthropic SDK via ``http_client=``."""
+        from agent import auxiliary_client as _aux
+        from agent import anthropic_adapter as _anthropic
+
+        received = {}
+
+        class _FakeOpenAI:
+            def __init__(self, **kwargs):
+                received["openai"] = kwargs
+                self.api_key = kwargs.get("api_key", "")
+                self.base_url = kwargs.get("base_url", "")
+
+        class _FakeAnthropicSDK:
+            class Anthropic:
+                def __init__(self, **kwargs):
+                    received["anthropic"] = kwargs
+
+        monkeypatch.setattr(_aux, "OpenAI", _FakeOpenAI)
+        monkeypatch.setattr(_anthropic, "_get_anthropic_sdk", lambda: _FakeAnthropicSDK)
+
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.services.ai.azure.com/anthropic",
+            "api_mode": "anthropic_messages",
+            "auth_mode": "entra_id",
+            "default": "claude-sonnet-4-5",
+        })
+        client, resolved = _aux._try_azure_foundry(model="claude-sonnet-4-5")
+        assert client is not None
+        assert resolved == "claude-sonnet-4-5"
+        # The Anthropic SDK constructor received a custom http_client
+        # (the bearer-injecting hook) and a placeholder auth_token.
+        anthropic_kwargs = received.get("anthropic") or {}
+        assert "http_client" in anthropic_kwargs, (
+            "build_anthropic_client must pass a custom http_client when "
+            "given a callable api_key, otherwise the SDK cannot mint "
+            "fresh tokens per request"
+        )
+        assert anthropic_kwargs.get("auth_token") == "entra-id-bearer-via-http-hook"
+        # Verify the http_client actually has our event hook installed.
+        http_client = anthropic_kwargs["http_client"]
+        hooks = getattr(http_client, "event_hooks", {})
+        assert "request" in hooks and len(hooks["request"]) >= 1
+
+
+# ---------------------------------------------------------------------------
+# resolve_provider_client → azure-foundry dispatch
+# ---------------------------------------------------------------------------
+
+
+class TestResolveProviderClientAzureFoundry:
+    def test_dispatches_to_azure_branch_not_generic_api_key_path(
+        self, monkeypatch, fake_azure_identity, patch_load_config,
+    ):
+        """End-to-end: the public ``resolve_provider_client`` entry
+        point must take the dedicated azure-foundry branch, NOT the
+        generic api-key registry path that would call
+        ``resolve_api_key_provider_credentials`` and return None for
+        Entra users."""
+        from agent import auxiliary_client as _aux
+
+        received = {}
+
+        class _FakeOpenAI:
+            def __init__(self, **kwargs):
+                received.update(kwargs)
+                self.api_key = kwargs.get("api_key", "")
+                self.base_url = kwargs.get("base_url", "")
+
+        monkeypatch.setattr(_aux, "OpenAI", _FakeOpenAI)
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            "auth_mode": "entra_id",
+            "default": "gpt-4o",
+        })
+        client, resolved = _aux.resolve_provider_client("azure-foundry", "gpt-4o")
+        assert client is not None
+        assert resolved == "gpt-4o"
+        # The callable made it through resolve_provider_client → _try_azure_foundry
+        # → OpenAI(api_key=...).
+        assert callable(received["api_key"])
+
+    def test_warns_and_returns_none_on_failure(
+        self, monkeypatch, patch_load_config, caplog,
+    ):
+        """When azure-foundry is requested but cannot be resolved
+        (e.g. no model + no key), we return (None, None) and log a
+        clear warning pointing at ``hermes doctor``."""
+        import logging
+        from agent.auxiliary_client import resolve_provider_client
+
+        monkeypatch.delenv("AZURE_FOUNDRY_API_KEY", raising=False)
+        patch_load_config({
+            "provider": "azure-foundry",
+            "base_url": "https://r.openai.azure.com/openai/v1",
+            "api_mode": "chat_completions",
+            # No default → resolver yields no model → bail
+        })
+        with caplog.at_level(logging.WARNING, logger="agent.auxiliary_client"):
+            client, resolved = resolve_provider_client("azure-foundry")
+        assert client is None
+        assert resolved is None
+        assert any(
+            "azure-foundry" in rec.message and "hermes doctor" in rec.message
+            for rec in caplog.records
+        )

tests/agent/test_azure_identity_adapter.py

@@ -0,0 +1,662 @@
+"""Tests for the Microsoft Entra ID adapter (agent/azure_identity_adapter.py).
+
+Covers:
+  - Scope resolution per Azure host shape
+  - Display masking for callable + string + None inputs
+  - Cache-fingerprint stability under callable refresh
+  - is_token_provider truthiness on callables vs strings
+  - EntraIdentityConfig serialization round-trip
+  - Token provider construction with mocked azure-identity
+  - Credential cache reuse + reset
+  - has_azure_identity_credentials timeout / failure paths
+  - describe_active_credential structural reporting
+  - Lazy-install error path when azure-identity absent + lazy installs
+    disabled
+
+We mock azure.identity at the import boundary rather than hitting any
+real Azure endpoint. Tests must remain hermetic per AGENTS.md.
+"""
+
+from __future__ import annotations
+
+import sys
+from collections.abc import Callable
+from types import SimpleNamespace
+from typing import cast
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+# Ensure we always import a fresh adapter module — credential caches in
+# the adapter persist across tests otherwise, polluting assertions
+# about cache invalidation.
+@pytest.fixture(autouse=True)
+def _reset_adapter_cache():
+    from agent.azure_identity_adapter import reset_credential_cache
+    reset_credential_cache()
+    yield
+    reset_credential_cache()
+
+
+# ---------------------------------------------------------------------------
+# Scope constant
+# ---------------------------------------------------------------------------
+
+
+class TestEntraScopeConstant:
+    """Pin the Microsoft-documented Foundry inference scope.
+
+    Microsoft's official samples for both ``*.openai.azure.com`` and
+    ``*.services.ai.azure.com`` use ``https://ai.azure.com/.default``.
+    The older ``cognitiveservices.azure.com/.default`` is the
+    control-plane scope and is rejected for inference by newer
+    Azure OpenAI / Foundry resources.
+
+    Users with sovereign-cloud or unusual-tenant requirements pass the
+    scope explicitly via ``model.entra.scope`` in ``config.yaml``.
+
+    Refs:
+      * https://learn.microsoft.com/azure/ai-foundry/openai/how-to/managed-identity
+      * https://learn.microsoft.com/azure/ai-foundry/foundry-models/how-to/configure-entra-id
+    """
+
+    def test_default_scope_matches_microsoft_documentation(self):
+        from agent.azure_identity_adapter import SCOPE_AI_AZURE_DEFAULT
+        assert SCOPE_AI_AZURE_DEFAULT == "https://ai.azure.com/.default"
+
+
+# ---------------------------------------------------------------------------
+# Cache fingerprint + http-bearer helpers
+# ---------------------------------------------------------------------------
+
+
+class TestMaterializeBearerForHttp:
+    """The only helper that mints a real bearer JWT — must call the
+    callable exactly once and never fall through to display masking."""
+
+    def test_callable_is_invoked_and_returns_token(self):
+        from agent.azure_identity_adapter import materialize_bearer_for_http
+
+        invoked = {"count": 0}
+
+        def provider():
+            invoked["count"] += 1
+            return "fresh-jwt"
+
+        assert materialize_bearer_for_http(provider) == "fresh-jwt"
+        assert invoked["count"] == 1
+
+    def test_string_passes_through(self):
+        from agent.azure_identity_adapter import materialize_bearer_for_http
+        assert materialize_bearer_for_http("plain-key") == "plain-key"
+
+    def test_callable_returning_empty_raises(self):
+        from agent.azure_identity_adapter import materialize_bearer_for_http
+        with pytest.raises(ValueError):
+            materialize_bearer_for_http(lambda: "")
+
+    def test_empty_string_raises(self):
+        from agent.azure_identity_adapter import materialize_bearer_for_http
+        with pytest.raises(ValueError):
+            materialize_bearer_for_http("")
+        with pytest.raises(ValueError):
+            materialize_bearer_for_http(None)
+
+
+# ---------------------------------------------------------------------------
+# build_bearer_http_client — the Anthropic-on-Foundry bridge
+# ---------------------------------------------------------------------------
+
+
+class TestBuildBearerHttpClient:
+    """``build_bearer_http_client`` returns an ``httpx.Client`` whose
+    request event hook mints a fresh JWT per outbound request. This is
+    how Entra ID auth reaches the Anthropic SDK (which does not accept
+    callable ``auth_token``)."""
+
+    def test_returns_httpx_client_with_request_hook(self):
+        import httpx
+        from agent.azure_identity_adapter import build_bearer_http_client
+
+        client = build_bearer_http_client(lambda: "jwt")
+        try:
+            assert isinstance(client, httpx.Client)
+            hooks = client.event_hooks.get("request", [])
+            assert len(hooks) >= 1
+        finally:
+            client.close()
+
+    def test_hook_overrides_authorization_header(self):
+        import httpx
+        from agent.azure_identity_adapter import build_bearer_http_client
+
+        minted_tokens = []
+
+        def provider():
+            minted_tokens.append(f"jwt-{len(minted_tokens) + 1}")
+            return minted_tokens[-1]
+
+        client = build_bearer_http_client(provider)
+        try:
+            hook = client.event_hooks["request"][0]
+            # Build a request with conflicting pre-set headers and verify
+            # the hook strips them and installs the fresh bearer.
+            req = httpx.Request(
+                "POST", "https://example.com/v1/messages",
+                headers={
+                    "Authorization": "Bearer stale-token",
+                    "api-key": "static-key",
+                    "x-api-key": "static-key",
+                },
+                json={"hello": "world"},
+            )
+            hook(req)
+            assert req.headers["Authorization"] == "Bearer jwt-1"
+            # The static-key headers must be stripped — sending both
+            # auth values would be ambiguous on Azure.
+            assert "api-key" not in req.headers
+            assert "x-api-key" not in req.headers
+
+            # Second invocation mints a fresh token.
+            req2 = httpx.Request("GET", "https://example.com/v1/models")
+            hook(req2)
+            assert req2.headers["Authorization"] == "Bearer jwt-2"
+            assert len(minted_tokens) == 2
+        finally:
+            client.close()
+
+    def test_hook_strips_auth_headers_and_warns_when_token_provider_fails(self, caplog):
+        """When the token provider fails (chain exhausted, IMDS down, az
+        login expired), the hook must:
+          1. Log at WARNING level so the misconfiguration is visible at
+             default log level (not buried at DEBUG).
+          2. Strip any pre-set Authorization headers — including the
+             placeholder ``entra-id-bearer-via-http-hook`` sentinel that
+             :func:`_build_anthropic_client_with_bearer_hook` sets on the
+             Anthropic SDK constructor. This produces a clean
+             "missing auth" 401 from Azure rather than a sentinel-bearing
+             401 that's harder to diagnose AND avoids leaking the
+             sentinel string into upstream access logs.
+        """
+        import logging
+        import httpx
+        from agent.azure_identity_adapter import build_bearer_http_client
+
+        def bad_provider():
+            return ""  # empty token → materialize_bearer_for_http raises
+
+        client = build_bearer_http_client(bad_provider)
+        try:
+            hook = client.event_hooks["request"][0]
+            req = httpx.Request(
+                "POST", "https://example.com/v1/messages",
+                headers={
+                    "Authorization": "Bearer entra-id-bearer-via-http-hook",
+                    "api-key": "leaked-placeholder",
+                },
+            )
+            with caplog.at_level(logging.WARNING, logger="agent.azure_identity_adapter"):
+                hook(req)  # Must not raise.
+            # Pre-set auth headers stripped — no sentinel makes it to Azure.
+            assert "Authorization" not in req.headers
+            assert "api-key" not in req.headers
+            # WARNING was logged so the user sees the misconfiguration.
+            assert any(
+                rec.levelno == logging.WARNING and "Entra ID token provider" in rec.message
+                for rec in caplog.records
+            )
+        finally:
+            client.close()
+
+    def test_rejects_non_callable_provider(self):
+        from agent.azure_identity_adapter import build_bearer_http_client
+        with pytest.raises(ValueError):
+            build_bearer_http_client(cast(Callable[[], str], "plain-string-not-callable"))
+        with pytest.raises(ValueError):
+            build_bearer_http_client(cast(Callable[[], str], None))
+
+    def test_forwards_httpx_kwargs(self):
+        import httpx
+        from agent.azure_identity_adapter import build_bearer_http_client
+
+        timeout = httpx.Timeout(60.0, connect=5.0)
+        client = build_bearer_http_client(lambda: "jwt", timeout=timeout)
+        try:
+            # httpx stores the timeout per-pool; just sanity-check it was
+            # accepted without TypeError.
+            assert client is not None
+        finally:
+            client.close()
+
+
+class TestIsTokenProvider:
+    def test_callable_is_token_provider(self):
+        from agent.azure_identity_adapter import is_token_provider
+        assert is_token_provider(lambda: "x") is True
+
+    def test_string_is_not_token_provider(self):
+        from agent.azure_identity_adapter import is_token_provider
+        assert is_token_provider("static-key") is False
+        # ``str`` instances are technically callable in some edge cases
+        # — confirm they're never classified as token providers.
+        assert is_token_provider("") is False
+
+
+# ---------------------------------------------------------------------------
+# EntraIdentityConfig
+# ---------------------------------------------------------------------------
+
+
+class TestEntraIdentityConfig:
+    """The serializable config that crosses multiprocessing boundaries —
+    must round-trip through dict cleanly and never lose fields."""
+
+    def test_to_dict_round_trip(self):
+        from agent.azure_identity_adapter import EntraIdentityConfig
+        cfg = EntraIdentityConfig(
+            scope="https://ai.azure.com/.default",
+            exclude_interactive_browser=False,
+        )
+        rebuilt = EntraIdentityConfig.from_dict(cfg.to_dict())
+        assert rebuilt == cfg
+
+    def test_from_dict_handles_empty_strings(self):
+        from agent.azure_identity_adapter import EntraIdentityConfig
+        cfg = EntraIdentityConfig.from_dict({
+            "scope": "",
+            "client_id": None,
+        })
+        # Empty scope falls back to default
+        assert cfg.scope.endswith("/.default")
+
+    def test_from_dict_ignores_legacy_identity_keys(self):
+        """Old config.yaml that still has model.entra.client_id /
+        tenant_id / authority should not crash from_dict — those values
+        are now read from AZURE_* env vars by azure-identity directly."""
+        from agent.azure_identity_adapter import EntraIdentityConfig
+        cfg = EntraIdentityConfig.from_dict({
+            "tenant_id": "legacy-tenant",
+            "authority": "https://login.partner.microsoftonline.cn",
+            "client_id": "user-mi-client",
+        })
+        # Legacy keys silently ignored — no crash, no surprise field on the dataclass.
+        assert not hasattr(cfg, "client_id")
+        assert not hasattr(cfg, "tenant_id")
+        assert not hasattr(cfg, "authority")
+
+    def test_constructor_normalizes_empty_scope(self):
+        from agent.azure_identity_adapter import EntraIdentityConfig
+        cfg = EntraIdentityConfig(scope="")
+        assert cfg.scope.endswith("/.default")
+
+    def test_from_dict_default_scope_override(self):
+        from agent.azure_identity_adapter import EntraIdentityConfig
+        cfg = EntraIdentityConfig.from_dict(
+            {"scope": ""},
+            default_scope="https://custom.example/.default",
+        )
+        assert cfg.scope == "https://custom.example/.default"
+
+    def test_dataclass_is_frozen(self):
+        # Frozen dataclasses are hashable / safe to pass through caches.
+        from agent.azure_identity_adapter import EntraIdentityConfig
+        cfg = EntraIdentityConfig()
+        with pytest.raises((AttributeError, Exception)):
+            setattr(cfg, "scope", "mutated")
+
+
+# ---------------------------------------------------------------------------
+# Credential / token provider construction
+# ---------------------------------------------------------------------------
+
+
+class _FakeAzureIdentity:
+    """Stand-in for the ``azure.identity`` module.
+
+    Captures kwargs passed to ``DefaultAzureCredential`` so tests can
+    assert how config flows into the SDK.
+    """
+
+    def __init__(self):
+        self.last_credential_kwargs = None
+        self.last_scope = None
+        self.credential_count = 0
+
+    def DefaultAzureCredential(self, **kwargs):  # noqa: N802 — match SDK
+        self.last_credential_kwargs = kwargs
+        self.credential_count += 1
+        return SimpleNamespace(
+            get_token=lambda scope: SimpleNamespace(token="fake-jwt", expires_on=9999999999),
+            kwargs=kwargs,
+        )
+
+    def get_bearer_token_provider(self, credential, scope):
+        self.last_scope = scope
+        # Return a callable that mints a token when invoked.
+        return lambda: f"jwt-for-{scope}"
+
+
+@pytest.fixture
+def fake_azure_identity(monkeypatch):
+    """Install a fake azure.identity into sys.modules and stub the
+    adapter's `_require_azure_identity` so all tests use the fake."""
+    fake = _FakeAzureIdentity()
+
+    fake_module = SimpleNamespace(
+        DefaultAzureCredential=fake.DefaultAzureCredential,
+        get_bearer_token_provider=fake.get_bearer_token_provider,
+    )
+    monkeypatch.setitem(sys.modules, "azure", SimpleNamespace(identity=fake_module))
+    monkeypatch.setitem(sys.modules, "azure.identity", fake_module)
+
+    # The adapter's `_require_azure_identity` does its own import, so
+    # patch that too to make sure tests never hit the real package's
+    # singleton state.
+    from agent import azure_identity_adapter as _adapter
+    monkeypatch.setattr(_adapter, "_require_azure_identity", lambda: fake_module)
+
+    return fake
+
+
+class TestBuildCredential:
+    def test_default_kwargs_are_minimal(self, fake_azure_identity):
+        """SDK default for ``exclude_interactive_browser_credential`` is
+        True; we only pass it when the user opts IN to interactive
+        browser auth. Tenant / authority / service principal config
+        flow through the standard ``AZURE_*`` env vars (read by
+        azure-identity directly), not Hermes config kwargs."""
+        from agent.azure_identity_adapter import EntraIdentityConfig, build_credential
+        cred = build_credential(EntraIdentityConfig())
+        kwargs = fake_azure_identity.last_credential_kwargs
+        # Default config should produce empty kwargs — SDK uses its own
+        # defaults plus env-var-driven settings.
+        assert kwargs == {}
+        assert cred is not None
+
+    def test_interactive_browser_opt_in(self, fake_azure_identity):
+        """When the user explicitly sets
+        ``exclude_interactive_browser=False``, the SDK kwarg is set to
+        False. Without the opt-in we don't pass the kwarg at all (SDK
+        default is True / browser excluded)."""
+        from agent.azure_identity_adapter import EntraIdentityConfig, build_credential
+        build_credential(EntraIdentityConfig(exclude_interactive_browser=False))
+        kwargs = fake_azure_identity.last_credential_kwargs
+        assert kwargs["exclude_interactive_browser_credential"] is False
+
+    def test_credential_is_cached_per_config(self, fake_azure_identity):
+        from agent.azure_identity_adapter import EntraIdentityConfig, build_credential
+        cfg = EntraIdentityConfig(scope="s1")
+        c1 = build_credential(cfg)
+        c2 = build_credential(cfg)
+        assert c1 is c2
+        assert fake_azure_identity.credential_count == 1
+
+    def test_distinct_configs_get_distinct_credentials(self, fake_azure_identity):
+        from agent.azure_identity_adapter import EntraIdentityConfig, build_credential
+        c1 = build_credential(EntraIdentityConfig(scope="s1"))
+        c2 = build_credential(EntraIdentityConfig(scope="s2"))
+        assert c1 is not c2
+        assert fake_azure_identity.credential_count == 2
+
+    def test_reset_cache_invalidates(self, fake_azure_identity):
+        from agent.azure_identity_adapter import (
+            EntraIdentityConfig,
+            build_credential,
+            reset_credential_cache,
+        )
+        cfg = EntraIdentityConfig(scope="x")
+        c1 = build_credential(cfg)
+        reset_credential_cache()
+        c2 = build_credential(cfg)
+        assert c1 is not c2
+
+
+class TestBuildTokenProvider:
+    def test_returns_callable_for_scope(self, fake_azure_identity):
+        from agent.azure_identity_adapter import build_token_provider
+        provider = build_token_provider(scope="https://ai.azure.com/.default")
+        assert callable(provider)
+        assert provider() == "jwt-for-https://ai.azure.com/.default"
+        assert fake_azure_identity.last_scope == "https://ai.azure.com/.default"
+
+    def test_falls_back_to_default_scope_when_unspecified(self, fake_azure_identity):
+        """When neither ``scope`` nor ``config`` is provided,
+        ``build_token_provider`` uses ``SCOPE_AI_AZURE_DEFAULT`` —
+        Microsoft's documented Foundry inference scope. ``base_url`` is
+        accepted for back-compat but ignored."""
+        from agent.azure_identity_adapter import (
+            SCOPE_AI_AZURE_DEFAULT,
+            build_token_provider,
+        )
+        build_token_provider(base_url="https://r.openai.azure.com/openai/v1")
+        assert fake_azure_identity.last_scope == SCOPE_AI_AZURE_DEFAULT
+
+    def test_explicit_scope_wins_over_base_url(self, fake_azure_identity):
+        from agent.azure_identity_adapter import build_token_provider
+        build_token_provider(
+            scope="https://override.example/.default",
+            base_url="https://r.openai.azure.com/openai/v1",
+        )
+        assert fake_azure_identity.last_scope == "https://override.example/.default"
+
+    def test_config_object_wins_over_kwargs(self, fake_azure_identity):
+        from agent.azure_identity_adapter import (
+            EntraIdentityConfig,
+            build_token_provider,
+        )
+        cfg = EntraIdentityConfig(scope="cfg-scope")
+        build_token_provider(scope="ignored", config=cfg)
+        assert fake_azure_identity.last_scope == "cfg-scope"
+        assert fake_azure_identity.last_credential_kwargs == {}
+
+
+# ---------------------------------------------------------------------------
+# Lazy-install / missing-package surface
+# ---------------------------------------------------------------------------
+
+
+class TestRequireAzureIdentityMissing:
+    def test_clear_error_when_lazy_install_disabled(self, monkeypatch):
+        """When azure-identity isn't importable AND lazy installs are
+        off, the adapter must raise ImportError with an actionable
+        message, not propagate FeatureUnavailable."""
+        from agent import azure_identity_adapter as _adapter
+
+        # Force the import path to fail.
+        original_import = __builtins__["__import__"] if isinstance(__builtins__, dict) else __import__
+        def _fake_import(name, *args, **kwargs):
+            if name == "azure.identity" or name.startswith("azure.identity."):
+                raise ImportError("simulated missing azure-identity")
+            return original_import(name, *args, **kwargs)
+
+        monkeypatch.setattr("builtins.__import__", _fake_import)
+
+        # Simulate lazy installs disabled.
+        from tools.lazy_deps import FeatureUnavailable
+
+        def _fake_ensure(*args, **kwargs):
+            raise FeatureUnavailable(
+                "provider.azure_identity",
+                ("azure-identity==1.25.3",),
+                "lazy installs disabled (test simulation)",
+            )
+
+        # The adapter calls ``ensure`` from ``tools.lazy_deps``; intercept
+        # it by patching the actual symbol path.
+        monkeypatch.setattr("tools.lazy_deps.ensure", _fake_ensure)
+
+        with pytest.raises(ImportError) as exc_info:
+            _adapter._require_azure_identity()
+        msg = str(exc_info.value)
+        assert "azure-identity" in msg
+        assert "Foundry" in msg or "foundry" in msg.lower()
+
+
+# ---------------------------------------------------------------------------
+# has_azure_identity_credentials probe (timeout-bounded)
+# ---------------------------------------------------------------------------
+
+
+class TestHasAzureIdentityCredentials:
+    def test_returns_false_when_package_missing_and_install_disabled(self, monkeypatch):
+        from agent import azure_identity_adapter as _adapter
+        monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: False)
+        assert _adapter.has_azure_identity_credentials(
+            "https://x/.default", allow_install=False,
+        ) is False
+
+    def test_lazy_install_triggered_when_package_missing(self, monkeypatch):
+        """With allow_install=True (default), the probe must trigger the
+        lazy-install path before bailing — otherwise the wizard's
+        ``preflight`` would silently fail for fresh installs that haven't
+        run ``pip install azure-identity`` yet."""
+        from agent import azure_identity_adapter as _adapter
+
+        installed = {"called": False}
+
+        def _fake_install():
+            installed["called"] = True
+            # After install, pretend the package is now importable.
+            monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: True)
+            return SimpleNamespace(
+                DefaultAzureCredential=lambda **kw: SimpleNamespace(
+                    kwargs=kw,
+                    get_token=lambda scope: SimpleNamespace(token="post-install-jwt", expires_on=0),
+                ),
+                get_bearer_token_provider=lambda c, s: lambda: "x",
+            )
+
+        monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: False)
+        monkeypatch.setattr(_adapter, "_require_azure_identity", _fake_install)
+
+        # Provide a credential factory so the probe proceeds after install.
+        monkeypatch.setattr(
+            _adapter, "build_credential",
+            lambda config: SimpleNamespace(
+                get_token=lambda scope: SimpleNamespace(token="probe-jwt", expires_on=0),
+            ),
+        )
+
+        result = _adapter.has_azure_identity_credentials(
+            "https://x/.default", timeout_seconds=0.5,
+        )
+        assert installed["called"] is True, (
+            "has_azure_identity_credentials must trigger lazy install "
+            "before bailing"
+        )
+        assert result is True
+
+    def test_returns_true_on_successful_token_mint(self, fake_azure_identity):
+        from agent.azure_identity_adapter import has_azure_identity_credentials
+        assert has_azure_identity_credentials("https://x/.default", timeout_seconds=0.5) is True
+
+    def test_returns_false_when_get_token_raises(self, monkeypatch):
+        from agent import azure_identity_adapter as _adapter
+
+        def _failing_credential(_config):
+            class _Cred:
+                def get_token(self, scope):
+                    raise RuntimeError("simulated chain exhaustion")
+            return _Cred()
+
+        monkeypatch.setattr(_adapter, "build_credential", _failing_credential)
+        monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: True)
+        assert _adapter.has_azure_identity_credentials("https://x/.default", timeout_seconds=0.5) is False
+
+    def test_returns_false_on_timeout(self, monkeypatch):
+        """Slow IMDS / network must time out, not hang the caller."""
+        import threading
+        from agent import azure_identity_adapter as _adapter
+
+        slow_release = threading.Event()
+
+        def _slow_credential(_config):
+            class _Cred:
+                def get_token(self, scope):
+                    # Block forever from the test's perspective; the
+                    # adapter must give up via its thread-bounded probe.
+                    slow_release.wait(timeout=10)
+                    return SimpleNamespace(token="never-returned", expires_on=0)
+            return _Cred()
+
+        monkeypatch.setattr(_adapter, "build_credential", _slow_credential)
+        monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: True)
+        try:
+            assert _adapter.has_azure_identity_credentials(
+                "https://x/.default", timeout_seconds=0.1
+            ) is False
+        finally:
+            slow_release.set()
+
+
+# ---------------------------------------------------------------------------
+# describe_active_credential — used by hermes doctor + hermes auth
+# ---------------------------------------------------------------------------
+
+
+class TestDescribeActiveCredential:
+    def test_reports_not_installed(self, monkeypatch):
+        from agent import azure_identity_adapter as _adapter
+        monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: False)
+        info = _adapter.describe_active_credential(
+            scope="https://x/.default", allow_install=False,
+        )
+        assert info["ok"] is False
+        assert "not installed" in info["error"].lower()
+        assert "pip install" in info["hint"].lower()
+
+    def test_reports_install_failure(self, monkeypatch):
+        """When lazy install is allowed but fails (e.g. lazy installs
+        disabled), the diagnostic surfaces the failure as the error."""
+        from agent import azure_identity_adapter as _adapter
+        monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: False)
+
+        def _fail_install():
+            raise ImportError("simulated: lazy installs disabled")
+
+        monkeypatch.setattr(_adapter, "_require_azure_identity", _fail_install)
+        info = _adapter.describe_active_credential(
+            scope="https://x/.default", allow_install=True,
+        )
+        assert info["ok"] is False
+        assert "lazy installs disabled" in info["error"]
+        assert "lazy" in info["hint"].lower()
+
+    def test_reports_env_sources_for_managed_identity(self, fake_azure_identity, monkeypatch):
+        from agent.azure_identity_adapter import describe_active_credential
+        monkeypatch.setenv("IDENTITY_ENDPOINT", "http://169.254.169.254")
+        info = describe_active_credential(scope="https://x/.default", timeout_seconds=0.5)
+        assert info["ok"] is True
+        sources = info.get("env_sources") or []
+        assert any("ManagedIdentity" in s for s in sources)
+
+    def test_reports_env_sources_for_workload_identity(self, fake_azure_identity, monkeypatch):
+        from agent.azure_identity_adapter import describe_active_credential
+        monkeypatch.setenv("AZURE_FEDERATED_TOKEN_FILE", "/var/secrets/azure/federated-token")
+        info = describe_active_credential(scope="https://x/.default", timeout_seconds=0.5)
+        sources = info.get("env_sources") or []
+        assert any("WorkloadIdentity" in s for s in sources)
+
+    def test_reports_env_sources_for_service_principal(self, fake_azure_identity, monkeypatch):
+        from agent.azure_identity_adapter import describe_active_credential
+        monkeypatch.setenv("AZURE_TENANT_ID", "t")
+        monkeypatch.setenv("AZURE_CLIENT_ID", "c")
+        monkeypatch.setenv("AZURE_CLIENT_SECRET", "s")
+        info = describe_active_credential(scope="https://x/.default", timeout_seconds=0.5)
+        sources = info.get("env_sources") or []
+        assert any("EnvironmentCredential" in s for s in sources)
+
+    def test_reports_error_on_chain_failure(self, monkeypatch):
+        from agent import azure_identity_adapter as _adapter
+
+        def _failing_credential(_config):
+            class _Cred:
+                def get_token(self, scope):
+                    raise RuntimeError("auth failed")
+            return _Cred()
+
+        monkeypatch.setattr(_adapter, "build_credential", _failing_credential)
+        monkeypatch.setattr(_adapter, "has_azure_identity_installed", lambda: True)
+        info = _adapter.describe_active_credential(scope="https://x/.default", timeout_seconds=0.5)
+        assert info["ok"] is False
+        assert "auth failed" in info.get("error", "")

tests/agent/test_bedrock_1m_context.py

@@ -1,7 +1,7 @@
 """Tests for the 1M-context beta header on AWS Bedrock Claude models.
 
 Claude Opus 4.6/4.7 and Sonnet 4.6 support a 1M context window, but on AWS
-Bedrock (and Azure AI Foundry) that window is still gated behind the
+Bedrock (and Microsoft Foundry) that window is still gated behind the
 ``context-1m-2025-08-07`` beta header as of 2026-04. Without it, Bedrock
 caps these models at 200K even though ``model_metadata.py`` advertises 1M.
 
@@ -61,4 +61,3 @@ class TestBedrockContext1MBeta:
         # Other common betas still present — no regression.
         assert "interleaved-thinking-2025-05-14" in beta_header
         assert "fine-grained-tool-streaming-2025-05-14" in beta_header
-