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from datetime import UTC, datetime
from types import SimpleNamespace
import pandas as pd
from fastapi.testclient import TestClient
import TerraFin.agent.service as agent_service
import TerraFin.interface.agent.data_routes as agent_routes
import TerraFin.interface.stock.data_routes as stock_routes
import TerraFin.interface.stock.payloads as stock_payloads
from TerraFin.agent.definitions import (
DEFAULT_HOSTED_AGENT_NAME,
TerraFinAgentDefinition,
is_internal_agent_definition,
)
from TerraFin.agent.loop import TerraFinConversationMessage, TerraFinHostedConversation, TerraFinHostedRunResult
from TerraFin.agent.runtime import TerraFinAgentSession, TerraFinTaskRegistry
from TerraFin.agent.session_store import (
TerraFinHostedApprovalRequest,
TerraFinHostedSessionRecord,
TerraFinHostedViewContextRecord,
)
from TerraFin.agent.tools import TerraFinToolDefinition, TerraFinToolInvocationResult
from TerraFin.data.contracts import HistoryChunk, TimeSeriesDataFrame
from TerraFin.data.providers.corporate.filings.sec_edgar.filing import SecEdgarConfigurationError
from TerraFin.interface.server import create_app
from TerraFin.interface.watchlist_service import reset_watchlist_service
def _make_fake_tsdf(ticker: str = "TEST", n: int = 120) -> TimeSeriesDataFrame:
dates = pd.date_range("2025-01-01", periods=n, freq="B")
base = 100.0
data = {
"time": dates,
"open": [base + idx * 0.1 for idx in range(n)],
"high": [base + idx * 0.1 + 1 for idx in range(n)],
"low": [base + idx * 0.1 - 1 for idx in range(n)],
"close": [base + idx * 0.2 for idx in range(n)],
"volume": [1000 + idx for idx in range(n)],
}
df = TimeSeriesDataFrame(pd.DataFrame(data))
df.name = ticker
return df
class _FakeDataFactory:
def __init__(self, *args, **kwargs) -> None:
_ = args, kwargs
def get(self, name):
return _make_fake_tsdf(name, 180)
def get_recent_history(self, name, period="3y", *, force_refresh=False):
_ = period, force_refresh
df = _make_fake_tsdf(name, 90)
return HistoryChunk(
frame=df,
loaded_start="2025-01-01",
loaded_end="2025-05-06",
requested_period="3y",
is_complete=False,
has_older=True,
source_version="recent-cache",
)
def get_full_history_backfill(self, name, loaded_start=None):
_ = loaded_start
df = _make_fake_tsdf(name, 180)
return HistoryChunk(
frame=df,
loaded_start="2024-07-03",
loaded_end="2025-05-06",
requested_period=None,
is_complete=True,
has_older=False,
source_version="full-cache",
)
def get_fred_data(self, name):
df = _make_fake_tsdf(name, 12)[["time", "close"]]
df = TimeSeriesDataFrame(df)
df.name = name
return df
def get_corporate_data(self, ticker, statement_type="income", period="annual"):
_ = ticker, statement_type, period
return pd.DataFrame(
{
"date": ["2025-12-31", "2024-12-31"],
"Revenue": [1000.0, 950.0],
"Net Income": [210.0, 200.0],
}
)
def get_portfolio_data(self, guru):
_ = guru
return _FakePortfolioOutput()
def get_panel_data(self, name):
if name == "market_breadth":
return [{"label": "Advancers", "value": "300", "tone": "#047857"}]
raise ValueError(f"Unknown panel: {name}")
def get_calendar_events(self, *, year, month, categories=None, limit=None):
_ = categories, limit
return [
{
"id": f"{year}-{month}-1",
"title": "CPI",
"start": f"{year}-{month:02d}-12",
"category": "macro",
"importance": "high",
"displayTime": "08:30",
"description": "Inflation",
"source": "FRED",
}
]
class _FakeWatchlistService:
def get_watchlist_snapshot(self):
return [{"symbol": "AAPL", "name": "Apple", "move": "+1.1%", "tags": []}]
class _FakePortfolioOutput:
def __init__(self) -> None:
self.info = {"Period": "Q1 2026", "Source": "fixture"}
self.df = pd.DataFrame(
[
{"Stock": "AAA", "% of Portfolio": 10.5, "Recent Activity": "Add 2.00%", "Updated": 2.0},
{"Stock": "BBB", "% of Portfolio": 8.0, "Recent Activity": "Reduce 1.50%", "Updated": -1.5},
]
)
class _FakeHostedRuntime:
def __init__(
self, definition: TerraFinAgentDefinition, internal_definition: TerraFinAgentDefinition | None = None
) -> None:
self._definition = definition
self._internal_definition = internal_definition
self._records: dict[str, TerraFinHostedSessionRecord] = {}
self._task_index: dict[str, str] = {}
self._view_contexts: dict[str, TerraFinHostedViewContextRecord] = {}
def list_agents(self):
definitions = [self._definition]
if self._internal_definition is not None:
definitions.append(self._internal_definition)
return tuple(definitions)
def get_agent_definition(self, agent_name: str) -> TerraFinAgentDefinition:
if agent_name == self._definition.name:
return self._definition
if self._internal_definition is not None and agent_name == self._internal_definition.name:
return self._internal_definition
raise KeyError(agent_name)
def create_record(
self,
session_id: str,
*,
metadata: dict | None = None,
agent_name: str | None = None,
) -> TerraFinHostedSessionRecord:
definition = self.get_agent_definition(agent_name or self._definition.name)
session_metadata = {
**dict(metadata or {}),
"agentDefinition": definition.name,
"agentPolicy": {
"defaultDepth": definition.default_depth,
"defaultView": definition.default_view,
"chartAccess": definition.chart_access,
"allowBackgroundTasks": definition.allow_background_tasks,
},
}
session = TerraFinAgentSession(session_id=session_id, metadata=session_metadata)
context = SimpleNamespace(session=session, task_registry=TerraFinTaskRegistry())
record = TerraFinHostedSessionRecord(
session_id=session_id,
agent_name=definition.name,
context=context,
metadata=dict(session_metadata),
)
self._records[session_id] = record
return record
def get_session_record(self, session_id: str) -> TerraFinHostedSessionRecord:
return self._records[session_id]
def get_public_session_record(self, session_id: str) -> TerraFinHostedSessionRecord:
record = self.get_session_record(session_id)
definition = self.get_agent_definition(record.agent_name)
if is_internal_agent_definition(definition) or record.metadata.get("hiddenInternal"):
raise KeyError(session_id)
return record
def list_sessions(self):
return tuple(
sorted(
self._records.values(),
key=lambda record: record.last_accessed_at,
reverse=True,
)
)
def delete_session(self, session_id: str):
record = self._records[session_id]
active_tasks = [
task
for task in record.context.task_registry.list_for_session(session_id)
if task.status not in {"completed", "failed", "cancelled"}
]
if active_tasks:
raise agent_routes.TerraFinAgentSessionConflictError(
f"Session '{session_id}' still has active background tasks. Cancel them before deleting the session."
)
self._records.pop(session_id, None)
return record
def list_session_tasks(self, session_id: str):
return self._records[session_id].context.task_registry.list_for_session(session_id)
def list_public_session_tasks(self, session_id: str):
self.get_public_session_record(session_id)
return self.list_session_tasks(session_id)
def get_task(self, task_id: str):
session_id = self._task_index[task_id]
return self._records[session_id].context.task_registry.get(task_id)
def get_public_task(self, task_id: str):
task = self.get_task(task_id)
self.get_public_session_record(task.session_id)
return task
def cancel_task(self, task_id: str):
session_id = self._task_index[task_id]
return self._records[session_id].context.task_registry.cancel(task_id, reason="Cancelled by test")
def cancel_public_task(self, task_id: str):
task = self.get_public_task(task_id)
return self.cancel_task(task.task_id)
def list_session_approvals(self, session_id: str):
return tuple(self._records[session_id].approval_requests)
def list_public_session_approvals(self, session_id: str):
self.get_public_session_record(session_id)
return self.list_session_approvals(session_id)
def get_approval(self, approval_id: str):
for record in self._records.values():
for approval in record.approval_requests:
if approval.approval_id == approval_id:
return approval
raise KeyError(approval_id)
def get_public_approval(self, approval_id: str):
approval = self.get_approval(approval_id)
self.get_public_session_record(approval.session_id)
return approval
def upsert_view_context(
self,
context_id: str,
*,
route: str,
page_type: str,
title: str | None = None,
summary: str | None = None,
selection: dict | None = None,
entities: list[dict] | None = None,
metadata: dict | None = None,
):
existing = self._view_contexts.get(context_id)
now = datetime.now(UTC)
record = TerraFinHostedViewContextRecord(
context_id=context_id,
created_at=existing.created_at if existing is not None else now,
updated_at=now,
route=route,
page_type=page_type,
title=title,
summary=summary,
selection=dict(selection or {}),
entities=[dict(entity) for entity in (entities or [])],
metadata=dict(metadata or {}),
)
self._view_contexts[context_id] = record
return record
def get_view_context(self, context_id: str):
return self._view_contexts[context_id]
def approve_approval(self, approval_id: str, *, note: str | None = None):
for record in self._records.values():
for idx, approval in enumerate(record.approval_requests):
if approval.approval_id != approval_id:
continue
updated = replace(
approval,
status="approved",
updated_at=datetime.now(UTC),
resolved_at=datetime.now(UTC),
decision_note=note,
)
record.approval_requests[idx] = updated
return updated
raise KeyError(approval_id)
def approve_public_approval(self, approval_id: str, *, note: str | None = None):
approval = self.get_public_approval(approval_id)
return self.approve_approval(approval.approval_id, note=note)
def deny_approval(self, approval_id: str, *, note: str | None = None):
for record in self._records.values():
for idx, approval in enumerate(record.approval_requests):
if approval.approval_id != approval_id:
continue
updated = replace(
approval,
status="denied",
updated_at=datetime.now(UTC),
resolved_at=datetime.now(UTC),
decision_note=note,
)
record.approval_requests[idx] = updated
return updated
raise KeyError(approval_id)
def deny_public_approval(self, approval_id: str, *, note: str | None = None):
approval = self.get_public_approval(approval_id)
return self.deny_approval(approval.approval_id, note=note)
def seed_task(
self,
session_id: str,
*,
capability_name: str = "market_snapshot",
description: str = "Fetch market snapshot",
status: str = "running",
):
record = self._records[session_id]
task = record.context.task_registry.create(
capability_name,
description=description,
session_id=session_id,
input_payload={"name": "AAPL"},
)
if status == "running":
task = record.context.task_registry.mark_running(task.task_id, progress={"stage": "queued"})
elif status == "completed":
record.context.task_registry.mark_running(task.task_id, progress={"stage": "queued"})
task = record.context.task_registry.complete(
task.task_id,
result={"ticker": "AAPL"},
progress={"stage": "done"},
)
self._task_index[task.task_id] = session_id
return task
def seed_approval(
self,
session_id: str,
*,
capability_name: str = "open_chart",
tool_name: str = "open_chart",
):
record = self._records[session_id]
approval = TerraFinHostedApprovalRequest(
approval_id="approval:test",
created_at=datetime.now(UTC),
updated_at=datetime.now(UTC),
session_id=session_id,
agent_name=self._definition.name,
action="invoke",
capability_name=capability_name,
tool_name=tool_name,
side_effecting=True,
status="pending",
reason="Human approval required before opening a chart.",
fingerprint="fingerprint:test",
input_payload={"data_or_names": ["AAPL"]},
)
record.approval_requests.append(approval)
return approval
class _FakeHostedToolAdapter:
def __init__(self, tools: tuple[TerraFinToolDefinition, ...]) -> None:
self._tools = tools
def list_tools_for_agent(self, agent_name: str):
_ = agent_name
return self._tools
def list_tools_for_session(self, session_id: str):
_ = session_id
return self._tools
class _FakeHostedLoop:
def __init__(self, *, runtime_configured: bool = True, runtime_setup_message: str | None = None) -> None:
self.definition = TerraFinAgentDefinition(
name=DEFAULT_HOSTED_AGENT_NAME,
description="General market agent.",
allowed_capabilities=("market_snapshot", "open_chart"),
chart_access=True,
allow_background_tasks=True,
)
self.internal_definition = TerraFinAgentDefinition(
name="warren-buffett",
description="Internal guru role.",
allowed_capabilities=("market_snapshot",),
chart_access=False,
allow_background_tasks=False,
metadata={"visibility": "internal", "role": "guru"},
)
self.tools = (
TerraFinToolDefinition(
name="market_snapshot",
capability_name="market_snapshot",
description="Fetch a compact market snapshot for a single asset.",
input_schema={
"type": "object",
"properties": {"name": {"type": "string"}},
"required": ["name"],
"additionalProperties": False,
},
execution_mode="invoke",
side_effecting=False,
),
)
self.runtime = _FakeHostedRuntime(self.definition, self.internal_definition)
self.tool_adapter = _FakeHostedToolAdapter(self.tools)
self._conversations: dict[str, TerraFinHostedConversation] = {}
runtime_model = {
"modelRef": "openai/gpt-4.1-mini",
"providerId": "openai",
"providerLabel": "OpenAI",
"modelId": "gpt-4.1-mini",
"metadata": {},
}
self.model_client = SimpleNamespace(
describe_runtime_model=lambda session=None: runtime_model,
describe_runtime_status=lambda session=None: {
"runtimeModel": runtime_model,
"configured": runtime_configured,
"message": runtime_setup_message,
},
)
def create_session(
self,
agent_name: str,
*,
session_id: str | None = None,
metadata: dict | None = None,
system_prompt: str | None = None,
allow_internal: bool = False,
) -> TerraFinHostedConversation:
if agent_name == self.internal_definition.name and not allow_internal:
raise agent_routes.TerraFinAgentPolicyError("Internal-only agent.")
record = self.runtime.create_record(
session_id or "hosted:test-session",
metadata=metadata,
agent_name=agent_name,
)
conversation = TerraFinHostedConversation(
session_id=record.session_id,
agent_name=agent_name,
metadata=dict(metadata or {}),
messages=[
TerraFinConversationMessage(
role="system",
content=system_prompt or "You are a hosted TerraFin agent.",
)
],
)
self._conversations[conversation.session_id] = conversation
record.conversation = conversation
return conversation
def get_conversation(self, session_id: str) -> TerraFinHostedConversation:
return self._conversations[session_id]
def submit_user_message(self, session_id: str, content: str) -> TerraFinHostedRunResult:
conversation = self._conversations[session_id]
user_message = TerraFinConversationMessage(role="user", content=content)
assistant_message = TerraFinConversationMessage(role="assistant", content="AAPL")
conversation.messages.extend([user_message, assistant_message])
tool_result = TerraFinToolInvocationResult(
tool_name="market_snapshot",
capability_name="market_snapshot",
session_id=session_id,
execution_mode="invoke",
payload={"ticker": "AAPL"},
task=None,
)
return TerraFinHostedRunResult(
session_id=session_id,
agent_name=conversation.agent_name,
final_message=assistant_message,
messages_added=(user_message, assistant_message),
tool_results=(tool_result,),
steps=2,
)
def _configure_agent_fakes(monkeypatch) -> None:
monkeypatch.setattr(agent_service, "get_data_factory", lambda: _FakeDataFactory())
monkeypatch.setattr(stock_payloads, "get_data_factory", lambda: _FakeDataFactory())
monkeypatch.setattr(agent_service, "get_watchlist_service", lambda: _FakeWatchlistService())
monkeypatch.setattr(
stock_payloads,
"get_ticker_info",
lambda ticker: {
"shortName": f"{ticker} Inc.",
"sector": "Technology",
"industry": "Software",
"currentPrice": 150.0,
"previousClose": 147.0,
"exchange": "NASDAQ",
},
)
monkeypatch.setattr(
stock_payloads,
"get_ticker_earnings",
lambda ticker: [
{
"date": "2025-12-31",
"epsEstimate": "2.10",
"epsReported": "2.25",
"surprise": "0.15",
"surprisePercent": "7.14",
}
],
)
def _client(monkeypatch, *, hosted_loop=None) -> TestClient:
_configure_agent_fakes(monkeypatch)
if hosted_loop is not None:
monkeypatch.setattr(agent_routes, "get_hosted_agent_loop", lambda: hosted_loop)
reset_watchlist_service()
return TestClient(create_app())
def test_agent_market_data_contract(monkeypatch) -> None:
client = _client(monkeypatch)
resp = client.get("/agent/api/market-data?ticker=TEST&depth=auto&view=monthly")
assert resp.status_code == 200
payload = resp.json()
assert set(payload) == {"ticker", "seriesType", "count", "data", "processing"}
assert payload["ticker"] == "TEST"
assert payload["processing"]["requestedDepth"] == "auto"
assert payload["processing"]["resolvedDepth"] == "recent"
assert payload["processing"]["view"] == "monthly"
def test_agent_indicators_contract(monkeypatch) -> None:
client = _client(monkeypatch)
resp = client.get("/agent/api/indicators?ticker=TEST&indicators=rsi,macd,bb,sma_20,realized_vol,range_vol")
assert resp.status_code == 200
payload = resp.json()
assert set(payload) == {"ticker", "indicators", "unknown", "processing"}
assert set(payload["indicators"]) == {"rsi", "macd", "bb", "sma_20", "realized_vol", "range_vol"}
assert payload["unknown"] == []
assert payload["processing"]["resolvedDepth"] == "recent"
def test_agent_market_snapshot_contract(monkeypatch) -> None:
client = _client(monkeypatch)
resp = client.get("/agent/api/market-snapshot?ticker=TEST&depth=full")
assert resp.status_code == 200
payload = resp.json()
assert set(payload) == {"ticker", "price_action", "indicators", "asof", "processing"}
assert payload["processing"]["resolvedDepth"] == "full"
# `asof` mirrors processing.loadedEnd so the freshness gate can read
# the last bar's date without digging through processing metadata.
assert payload["asof"] == payload["processing"]["loadedEnd"]
assert payload["asof"] is not None
def test_agent_market_snapshot_force_refresh_threads_through_route(monkeypatch) -> None:
"""`force_refresh=true` on the query string must reach the service —
that's the lever the worker uses for time-sensitive snapshots when
the 24h `yfinance.full` cache TTL may be hiding a freshly-closed bar."""
_configure_agent_fakes(monkeypatch)
seen: dict[str, object] = {}
original = agent_service.TerraFinAgentService.market_snapshot
def _spy(self, name, *, depth="auto", view="daily", force_refresh=False):
seen["force_refresh"] = force_refresh
return original(self, name, depth=depth, view=view, force_refresh=force_refresh)
monkeypatch.setattr(agent_service.TerraFinAgentService, "market_snapshot", _spy)
reset_watchlist_service()
client = TestClient(create_app())
resp_default = client.get("/agent/api/market-snapshot?ticker=TEST")
assert resp_default.status_code == 200
assert seen["force_refresh"] is False
resp_force = client.get("/agent/api/market-snapshot?ticker=TEST&force_refresh=true")
assert resp_force.status_code == 200
assert seen["force_refresh"] is True
def test_agent_resolve_company_earnings_and_financials(monkeypatch) -> None:
client = _client(monkeypatch)
resolve_resp = client.get("/agent/api/resolve?q=AAPL")
company_resp = client.get("/agent/api/company?ticker=AAPL")
earnings_resp = client.get("/agent/api/earnings?ticker=AAPL")
financials_resp = client.get("/agent/api/financials?ticker=AAPL&statement=income&period=annual")
assert resolve_resp.status_code == 200
assert resolve_resp.json()["path"] == "/stock/AAPL"
assert company_resp.status_code == 200
assert company_resp.json()["ticker"] == "AAPL"
assert "processing" in company_resp.json()
assert earnings_resp.status_code == 200
assert earnings_resp.json()["earnings"][0]["epsReported"] == "2.25"
assert financials_resp.status_code == 200
assert financials_resp.json()["statement"] == "income"
assert len(financials_resp.json()["rows"]) == 2
def test_agent_portfolio_economic_macro_and_calendar(monkeypatch) -> None:
client = _client(monkeypatch)
portfolio_resp = client.get("/agent/api/portfolio?guru=Test%20Guru")
economic_resp = client.get("/agent/api/economic?indicators=UNRATE")
macro_resp = client.get("/agent/api/macro-focus?name=S%26P%20500&view=weekly")
china_macro_resp = client.get("/agent/api/macro-focus?name=Shanghai%20Composite&view=weekly")
calendar_resp = client.get("/agent/api/calendar?year=2026&month=4&categories=macro")
assert portfolio_resp.status_code == 200
assert portfolio_resp.json()["count"] == 2
assert economic_resp.status_code == 200
assert "UNRATE" in economic_resp.json()["indicators"]
assert "processing" in economic_resp.json()
assert macro_resp.status_code == 200
assert macro_resp.json()["info"]["type"] == "index"
assert macro_resp.json()["info"]["description"] == "Benchmark U.S. large-cap equity index."
assert macro_resp.json()["processing"]["view"] == "weekly"
assert china_macro_resp.status_code == 200
assert china_macro_resp.json()["name"] == "Shanghai Composite"
assert china_macro_resp.json()["info"]["type"] == "index"
assert china_macro_resp.json()["info"]["description"] == (
"Broad mainland China equity benchmark tracking the Shanghai market."
)
assert calendar_resp.status_code == 200
assert calendar_resp.json()["count"] == 1
assert calendar_resp.json()["processing"]["resolvedDepth"] == "full"
def test_agent_openapi_includes_new_routes(monkeypatch) -> None:
client = _client(monkeypatch, hosted_loop=_FakeHostedLoop())
resp = client.get("/openapi.json")
assert resp.status_code == 200
paths = resp.json()["paths"]
assert "/agent/api/resolve" in paths
assert "/agent/api/company" in paths
assert "/agent/api/earnings" in paths
assert "/agent/api/financials" in paths
assert "/agent/api/macro-focus" in paths
assert "/agent/api/calendar" in paths
assert "/agent/api/runtime/agents" in paths
assert "/agent/api/runtime/sessions" in paths
assert "/agent/api/runtime/sessions/{session_id}" in paths
assert "/agent/api/runtime/view-contexts/{context_id}" in paths
assert "/agent/api/runtime/sessions/{session_id}/messages" in paths
assert "/agent/api/runtime/sessions/{session_id}/tasks" in paths
assert "/agent/api/runtime/sessions/{session_id}/approvals" in paths
assert "/agent/api/runtime/tasks/{task_id}" in paths
assert "/agent/api/runtime/approvals/{approval_id}" in paths
assert "/agent/api/runtime/approvals/{approval_id}/approve" in paths
assert "/agent/api/runtime/approvals/{approval_id}/deny" in paths
def test_agent_portfolio_returns_503_when_sec_edgar_is_not_configured(monkeypatch) -> None:
_configure_agent_fakes(monkeypatch)
def _raise_config(self, guru):
raise SecEdgarConfigurationError(
"SEC EDGAR access is unavailable until `TERRAFIN_SEC_USER_AGENT` is configured."
)
monkeypatch.setattr(_FakeDataFactory, "get_portfolio_data", _raise_config)
reset_watchlist_service()
client = TestClient(create_app())
response = client.get("/agent/api/portfolio?guru=Warren%20Buffett")
assert response.status_code == 503
payload = response.json()
assert payload["error"]["code"] == "sec_edgar_not_configured"
assert payload["error"]["details"]["feature"] == "agent_portfolio"
def test_hosted_agent_runtime_routes(monkeypatch) -> None:
loop = _FakeHostedLoop()
client = _client(monkeypatch, hosted_loop=loop)
catalog = client.get("/agent/api/runtime/agents")
assert catalog.status_code == 200
catalog_payload = catalog.json()
assert catalog_payload["agents"][0]["name"] == DEFAULT_HOSTED_AGENT_NAME
assert catalog_payload["agents"][0]["tools"][0]["name"] == "market_snapshot"
assert catalog_payload["agents"][0]["runtimeModel"]["modelRef"] == "openai/gpt-4.1-mini"
assert catalog_payload["agents"][0]["runtimeConfigured"] is True
assert catalog_payload["agents"][0]["runtimeSetupMessage"] is None
create_resp = client.post(
"/agent/api/runtime/sessions",
json={
"agentName": DEFAULT_HOSTED_AGENT_NAME,
"sessionId": "hosted:http-test",
"metadata": {"thread": "demo"},
},
)
assert create_resp.status_code == 200
created = create_resp.json()
assert created["sessionId"] == "hosted:http-test"
assert created["agentName"] == DEFAULT_HOSTED_AGENT_NAME
assert created["metadata"]["thread"] == "demo"
assert created["runtimeModel"]["providerId"] == "openai"
assert created["messages"][0]["role"] == "system"
session_resp = client.get("/agent/api/runtime/sessions/hosted:http-test")
assert session_resp.status_code == 200
assert session_resp.json()["sessionId"] == "hosted:http-test"
assert session_resp.json()["runtimeModel"]["modelId"] == "gpt-4.1-mini"
sessions_resp = client.get("/agent/api/runtime/sessions")
assert sessions_resp.status_code == 200
sessions_payload = sessions_resp.json()
assert sessions_payload["sessions"][0]["sessionId"] == "hosted:http-test"
assert sessions_payload["sessions"][0]["messageCount"] == 0
view_context_resp = client.put(
"/agent/api/runtime/view-contexts/view:buffett",
json={
"route": "/market-insights",
"pageType": "market-insights",
"title": "Warren Buffett Portfolio View",
"selection": {"selectedGuru": "Warren Buffett"},
"entities": [{"kind": "portfolio", "id": "Warren Buffett"}],
},
)
assert view_context_resp.status_code == 200
assert view_context_resp.json()["contextId"] == "view:buffett"
assert view_context_resp.json()["selection"]["selectedGuru"] == "Warren Buffett"
get_view_context_resp = client.get("/agent/api/runtime/view-contexts/view:buffett")
assert get_view_context_resp.status_code == 200
assert get_view_context_resp.json()["pageType"] == "market-insights"
run_resp = client.post(
"/agent/api/runtime/sessions/hosted:http-test/messages",
json={"content": "Give me AAPL."},
)
assert run_resp.status_code == 200
run_payload = run_resp.json()
assert run_payload["steps"] == 2
assert run_payload["finalMessage"]["content"] == "AAPL"
assert run_payload["toolResults"][0]["toolName"] == "market_snapshot"
assert run_payload["session"]["messages"][-1]["role"] == "assistant"
task = loop.runtime.seed_task("hosted:http-test")
task_list_resp = client.get("/agent/api/runtime/sessions/hosted:http-test/tasks")
assert task_list_resp.status_code == 200
assert task_list_resp.json()["tasks"][0]["taskId"] == task.task_id
task_resp = client.get(f"/agent/api/runtime/tasks/{task.task_id}")
assert task_resp.status_code == 200
assert task_resp.json()["status"] == "running"
cancel_resp = client.post(f"/agent/api/runtime/tasks/{task.task_id}/cancel")
assert cancel_resp.status_code == 200
assert cancel_resp.json()["status"] == "cancelled"
approval = loop.runtime.seed_approval("hosted:http-test")
approval_list_resp = client.get("/agent/api/runtime/sessions/hosted:http-test/approvals")
assert approval_list_resp.status_code == 200
assert approval_list_resp.json()["approvals"][0]["approvalId"] == approval.approval_id
approval_resp = client.get(f"/agent/api/runtime/approvals/{approval.approval_id}")
assert approval_resp.status_code == 200
assert approval_resp.json()["status"] == "pending"
approve_resp = client.post(
f"/agent/api/runtime/approvals/{approval.approval_id}/approve",
json={"note": "Ship it"},
)
assert approve_resp.status_code == 200
assert approve_resp.json()["status"] == "approved"
deny_resp = client.post(
f"/agent/api/runtime/approvals/{approval.approval_id}/deny",
json={"note": "Actually no"},
)
assert deny_resp.status_code == 200
assert deny_resp.json()["status"] == "denied"
loop.runtime.seed_task("hosted:http-test")
delete_conflict_resp = client.delete("/agent/api/runtime/sessions/hosted:http-test")
assert delete_conflict_resp.status_code == 409
completed_task = loop.runtime.seed_task("hosted:http-test", status="completed")
assert completed_task.status == "completed"
for task_record in loop.runtime.get_session_record("hosted:http-test").context.task_registry.list_for_session(
"hosted:http-test"
):
if task_record.status not in {"completed", "failed", "cancelled"}:
loop.runtime.get_session_record("hosted:http-test").context.task_registry.cancel(
task_record.task_id,
reason="Settled for delete test",
)
delete_resp = client.delete("/agent/api/runtime/sessions/hosted:http-test")
assert delete_resp.status_code == 200
assert delete_resp.json()["sessionId"] == "hosted:http-test"
deleted_session_resp = client.get("/agent/api/runtime/sessions/hosted:http-test")
assert deleted_session_resp.status_code == 404
def test_hosted_agent_runtime_rejects_internal_agent_creation(monkeypatch) -> None:
loop = _FakeHostedLoop()
client = _client(monkeypatch, hosted_loop=loop)
create_resp = client.post(
"/agent/api/runtime/sessions",
json={
"agentName": "warren-buffett",
"sessionId": "hosted:hidden-guru",
},
)
assert create_resp.status_code == 404
assert create_resp.json()["error"]["code"] == "hosted_agent_not_found"
def test_hosted_agent_runtime_hides_internal_sessions_from_direct_routes(monkeypatch) -> None:
loop = _FakeHostedLoop()
hidden = loop.create_session(
"warren-buffett",
session_id="hosted:hidden-guru",
metadata={"hiddenInternal": True},
allow_internal=True,
)
hidden_task = loop.runtime.seed_task(hidden.session_id)
hidden_approval = loop.runtime.seed_approval(hidden.session_id)
client = _client(monkeypatch, hosted_loop=loop)
session_resp = client.get(f"/agent/api/runtime/sessions/{hidden.session_id}")
task_list_resp = client.get(f"/agent/api/runtime/sessions/{hidden.session_id}/tasks")
approval_list_resp = client.get(f"/agent/api/runtime/sessions/{hidden.session_id}/approvals")
task_resp = client.get(f"/agent/api/runtime/tasks/{hidden_task.task_id}")
approval_resp = client.get(f"/agent/api/runtime/approvals/{hidden_approval.approval_id}")
assert session_resp.status_code == 404
assert task_list_resp.status_code == 404
assert approval_list_resp.status_code == 404
assert task_resp.status_code == 404
assert approval_resp.status_code == 404
def test_hosted_agent_runtime_routes_report_unconfigured_runtime(monkeypatch) -> None:
loop = _FakeHostedLoop(
runtime_configured=False,
runtime_setup_message="OPENAI_API_KEY is required for the hosted OpenAI agent runtime.",
)
client = _client(monkeypatch, hosted_loop=loop)
catalog = client.get("/agent/api/runtime/agents")
assert catalog.status_code == 200
payload = catalog.json()
assert payload["agents"][0]["runtimeConfigured"] is False
assert payload["agents"][0]["runtimeSetupMessage"] == (
"OPENAI_API_KEY is required for the hosted OpenAI agent runtime."
)
create_resp = client.post(
"/agent/api/runtime/sessions",
json={
"agentName": DEFAULT_HOSTED_AGENT_NAME,
"sessionId": "hosted:http-test",
},
)
assert create_resp.status_code == 503
assert create_resp.json()["error"]["code"] == "hosted_agent_not_configured"
def test_agent_page_route_is_not_registered(monkeypatch) -> None:
client = _client(monkeypatch, hosted_loop=_FakeHostedLoop())
response = client.get("/agent")
assert response.status_code == 404
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