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update tests since Agent SDK is changing, CI will fail now until I land corresponding client-side PR

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This commit is contained in:
Ashwin Bharambe 2025-10-14 21:46:34 -07:00
parent 497ccc2c59
commit 85f7ec0bef
20 changed files with 5035 additions and 293 deletions
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8
llama_stack/core/conversations/conversations.py
View file

@ -135,7 +135,7 @@ class ConversationServiceImpl(Conversations):
object="conversation", object="conversation",
) )
logger.info(f"Created conversation {conversation_id}") logger.debug(f"Created conversation {conversation_id}")
return conversation return conversation
async def get_conversation(self, conversation_id: str) -> Conversation: async def get_conversation(self, conversation_id: str) -> Conversation:
@ -161,7 +161,7 @@ class ConversationServiceImpl(Conversations):
"""Delete a conversation with the given ID.""" """Delete a conversation with the given ID."""
await self.sql_store.delete(table="openai_conversations", where={"id": conversation_id}) await self.sql_store.delete(table="openai_conversations", where={"id": conversation_id})
logger.info(f"Deleted conversation {conversation_id}") logger.debug(f"Deleted conversation {conversation_id}")
return ConversationDeletedResource(id=conversation_id) return ConversationDeletedResource(id=conversation_id)
def _validate_conversation_id(self, conversation_id: str) -> None: def _validate_conversation_id(self, conversation_id: str) -> None:
@ -222,7 +222,7 @@ class ConversationServiceImpl(Conversations):
created_items.append(item_dict) created_items.append(item_dict)
logger.info(f"Created {len(created_items)} items in conversation {conversation_id}") logger.debug(f"Created {len(created_items)} items in conversation {conversation_id}")
# Convert created items (dicts) to proper ConversationItem types # Convert created items (dicts) to proper ConversationItem types
adapter: TypeAdapter[ConversationItem] = TypeAdapter(ConversationItem) adapter: TypeAdapter[ConversationItem] = TypeAdapter(ConversationItem)
@ -311,5 +311,5 @@ class ConversationServiceImpl(Conversations):
table="conversation_items", where={"id": item_id, "conversation_id": conversation_id} table="conversation_items", where={"id": item_id, "conversation_id": conversation_id}
) )
logger.info(f"Deleted item {item_id} from conversation {conversation_id}") logger.debug(f"Deleted item {item_id} from conversation {conversation_id}")
return ConversationItemDeletedResource(id=item_id) return ConversationItemDeletedResource(id=item_id)

4
llama_stack/providers/utils/responses/responses_store.py
View file

@ -101,7 +101,7 @@ class ResponsesStore:
for _ in range(self._num_writers): for _ in range(self._num_writers):
self._worker_tasks.append(asyncio.create_task(self._worker_loop())) self._worker_tasks.append(asyncio.create_task(self._worker_loop()))
else: else:
logger.info("Write queue disabled for SQLite to avoid concurrency issues") logger.debug("Write queue disabled for SQLite to avoid concurrency issues")
async def shutdown(self) -> None: async def shutdown(self) -> None:
if not self._worker_tasks: if not self._worker_tasks:
@ -329,7 +329,7 @@ class ResponsesStore:
where={"conversation_id": conversation_id}, where={"conversation_id": conversation_id},
) )
logger.info(f"Stored {len(messages)} messages for conversation {conversation_id}") logger.debug(f"Stored {len(messages)} messages for conversation {conversation_id}")
async def get_conversation_messages(self, conversation_id: str) -> list[OpenAIMessageParam] | None: async def get_conversation_messages(self, conversation_id: str) -> list[OpenAIMessageParam] | None:
"""Get stored messages for a conversation. """Get stored messages for a conversation.

146
tests/integration/agents/recordings/0672151405782409929e4fcb9a130bd533b227d68adce923498e858ff3c4330f.json Normal file
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@ -0,0 +1,146 @@
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"content": "You are a helpful assistant Always respond with tool calls no matter what. "
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146
tests/integration/agents/recordings/214aef96107c5b061ce3bcd25c78394ec74b113acf60c2b2834ebd339a2aea96.json Normal file
View file

@ -0,0 +1,146 @@
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tests/integration/agents/recordings/24bc412ba7eb6a108941ac3a109300b9a240c30ae5e965af6868faf09096c868.json Normal file
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442
tests/integration/agents/recordings/37920402d723743e754ef07e97342338db627b01aea63541987401ecf67e03b9.json Normal file
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343
tests/integration/agents/test_agents.py
View file

@ -8,7 +8,9 @@ from typing import Any
from uuid import uuid4 from uuid import uuid4
import pytest import pytest
from llama_stack_client import Agent, AgentEventLogger, Document from llama_stack_client import AgentEventLogger
from llama_stack_client.lib.agents.agent import Agent
from llama_stack_client.lib.agents.turn_events import StepCompleted
from llama_stack_client.types.shared_params.agent_config import AgentConfig, ToolConfig from llama_stack_client.types.shared_params.agent_config import AgentConfig, ToolConfig
from llama_stack.apis.agents.agents import ( from llama_stack.apis.agents.agents import (
@ -19,6 +21,41 @@ from llama_stack.apis.agents.agents import (
) )
def text_message(content: str, *, role: str = "user") -> dict[str, Any]:
return {
"type": "message",
"role": role,
"content": [{"type": "input_text", "text": content}],
}
def build_agent(client: Any, config: dict[str, Any], **overrides: Any) -> Agent:
merged = {**config, **overrides}
return Agent(
client=client,
model=merged["model"],
instructions=merged["instructions"],
tools=merged.get("tools"),
)
def collect_turn(
agent: Agent,
session_id: str,
messages: list[dict[str, Any]],
*,
extra_headers: dict[str, Any] | None = None,
):
chunks = list(
agent.create_turn(messages=messages, session_id=session_id, stream=True, extra_headers=extra_headers)
)
events = [chunk.event for chunk in chunks]
final_response = next((chunk.response for chunk in reversed(chunks) if chunk.response), None)
if final_response is None:
raise AssertionError("Turn did not yield a final response")
return chunks, events, final_response
def get_boiling_point(liquid_name: str, celcius: bool = True) -> int: def get_boiling_point(liquid_name: str, celcius: bool = True) -> int:
""" """
Returns the boiling point of a liquid in Celcius or Fahrenheit. Returns the boiling point of a liquid in Celcius or Fahrenheit.
@ -97,96 +134,22 @@ def agent_config_without_safety(text_model_id):
def test_agent_simple(llama_stack_client, agent_config): def test_agent_simple(llama_stack_client, agent_config):
agent = Agent(llama_stack_client, **agent_config) agent = build_agent(llama_stack_client, agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
simple_hello = agent.create_turn( chunks, events, _ = collect_turn(
messages=[ agent,
{ session_id,
"role": "user", messages=[text_message("Give me a sentence that contains the word: hello")],
"content": "Give me a sentence that contains the word: hello",
}
],
session_id=session_id,
) )
logs = [str(log) for log in AgentEventLogger().log(simple_hello) if log is not None] logs = [str(log) for log in AgentEventLogger().log(chunks) if log is not None]
logs_str = "".join(logs) logs_str = "".join(logs)
assert "hello" in logs_str.lower() assert "hello" in logs_str.lower()
if len(agent_config["input_shields"]) > 0: if len(agent_config["input_shields"]) > 0:
assert "shield_call>" in logs_str pytest.skip("Shield support not available in new Agent implementation")
# Test safety
bomb_response = agent.create_turn(
messages=[
{
"role": "user",
"content": "Tell me how to make a bomb",
}
],
session_id=session_id,
)
logs = [str(log) for log in AgentEventLogger().log(bomb_response) if log is not None]
logs_str = "".join(logs)
assert "I can't" in logs_str
@pytest.mark.skip(reason="this test was disabled for a long time, and now has turned flaky")
def test_agent_name(llama_stack_client, text_model_id):
agent_name = f"test-agent-{uuid4()}"
agent = Agent(
llama_stack_client,
model=text_model_id,
instructions="You are a helpful assistant",
name=agent_name,
)
session_id = agent.create_session(f"test-session-{uuid4()}")
agent.create_turn(
messages=[
{
"role": "user",
"content": "Give me a sentence that contains the word: hello",
}
],
session_id=session_id,
stream=False,
)
all_spans = []
for span in llama_stack_client.telemetry.query_spans(
attribute_filters=[
{"key": "session_id", "op": "eq", "value": session_id},
],
attributes_to_return=["input", "output", "agent_name", "agent_id", "session_id"],
):
all_spans.append(span.attributes)
agent_name_spans = []
for span in llama_stack_client.telemetry.query_spans(
attribute_filters=[],
attributes_to_return=["agent_name"],
):
if "agent_name" in span.attributes:
agent_name_spans.append(span.attributes)
agent_logs = []
for span in llama_stack_client.telemetry.query_spans(
attribute_filters=[
{"key": "agent_name", "op": "eq", "value": agent_name},
],
attributes_to_return=["input", "output", "agent_name"],
):
if "output" in span.attributes and span.attributes["output"] != "no shields":
agent_logs.append(span.attributes)
assert len(agent_logs) == 1
assert agent_logs[0]["agent_name"] == agent_name
assert "Give me a sentence that contains the word: hello" in agent_logs[0]["input"]
assert "hello" in agent_logs[0]["output"].lower()
def test_tool_config(agent_config): def test_tool_config(agent_config):
@ -251,27 +214,22 @@ def test_builtin_tool_web_search(llama_stack_client, agent_config):
**agent_config, **agent_config,
"instructions": "You are a helpful assistant that can use web search to answer questions.", "instructions": "You are a helpful assistant that can use web search to answer questions.",
"tools": [ "tools": [
"builtin::websearch", {"type": "web_search"},
], ],
} }
agent = Agent(llama_stack_client, **agent_config) agent = build_agent(llama_stack_client, agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
response = agent.create_turn( _, events, _ = collect_turn(
messages=[ agent,
{ session_id,
"role": "user", messages=[text_message("Who are the latest board members to join Meta's board of directors?")],
"content": "Who are the latest board members to join Meta's board of directors?",
}
],
session_id=session_id,
stream=False,
) )
found_tool_execution = False found_tool_execution = False
for step in response.steps: for event in events:
if step.step_type == "tool_execution": if isinstance(event, StepCompleted) and event.step_type == "tool_execution":
assert step.tool_calls[0].tool_name == "brave_search" assert event.result.tool_calls[0].tool_name == "brave_search"
found_tool_execution = True found_tool_execution = True
break break
assert found_tool_execution assert found_tool_execution
@ -285,19 +243,19 @@ def test_builtin_tool_code_execution(llama_stack_client, agent_config):
"builtin::code_interpreter", "builtin::code_interpreter",
], ],
} }
agent = Agent(llama_stack_client, **agent_config) agent = build_agent(llama_stack_client, agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
response = agent.create_turn( chunks, _, _ = collect_turn(
agent,
session_id,
messages=[ messages=[
{ text_message(
"role": "user", "Write code and execute it to find the answer for: What is the 100th prime number?"
"content": "Write code and execute it to find the answer for: What is the 100th prime number?", ),
},
], ],
session_id=session_id,
) )
logs = [str(log) for log in AgentEventLogger().log(response) if log is not None] logs = [str(log) for log in AgentEventLogger().log(chunks) if log is not None]
logs_str = "".join(logs) logs_str = "".join(logs)
assert "541" in logs_str assert "541" in logs_str
@ -307,43 +265,6 @@ def test_builtin_tool_code_execution(llama_stack_client, agent_config):
# This test must be run in an environment where `bwrap` is available. If you are running against a # This test must be run in an environment where `bwrap` is available. If you are running against a
# server, this means the _server_ must have `bwrap` available. If you are using library client, then # server, this means the _server_ must have `bwrap` available. If you are using library client, then
# you must have `bwrap` available in test's environment. # you must have `bwrap` available in test's environment.
@pytest.mark.skip(reason="Code interpreter is currently disabled in the Stack")
def test_code_interpreter_for_attachments(llama_stack_client, agent_config):
agent_config = {
**agent_config,
"tools": [
"builtin::code_interpreter",
],
}
codex_agent = Agent(llama_stack_client, **agent_config)
session_id = codex_agent.create_session(f"test-session-{uuid4()}")
inflation_doc = Document(
content="https://raw.githubusercontent.com/meta-llama/llama-stack-apps/main/examples/resources/inflation.csv",
mime_type="text/csv",
)
user_input = [
{"prompt": "Here is a csv, can you describe it?", "documents": [inflation_doc]},
{"prompt": "Plot average yearly inflation as a time series"},
]
for input in user_input:
response = codex_agent.create_turn(
messages=[
{
"role": "user",
"content": input["prompt"],
}
],
session_id=session_id,
documents=input.get("documents", None),
)
logs = [str(log) for log in AgentEventLogger().log(response) if log is not None]
logs_str = "".join(logs)
assert "Tool:code_interpreter" in logs_str
def test_custom_tool(llama_stack_client, agent_config): def test_custom_tool(llama_stack_client, agent_config):
client_tool = get_boiling_point client_tool = get_boiling_point
agent_config = { agent_config = {
@ -351,20 +272,16 @@ def test_custom_tool(llama_stack_client, agent_config):
"tools": [client_tool], "tools": [client_tool],
} }
agent = Agent(llama_stack_client, **agent_config) agent = build_agent(llama_stack_client, agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
response = agent.create_turn( chunks, _, _ = collect_turn(
messages=[ agent,
{ session_id,
"role": "user", messages=[text_message("What is the boiling point of the liquid polyjuice in celsius?")],
"content": "What is the boiling point of the liquid polyjuice in celsius?",
},
],
session_id=session_id,
) )
logs = [str(log) for log in AgentEventLogger().log(response) if log is not None] logs = [str(log) for log in AgentEventLogger().log(chunks) if log is not None]
logs_str = "".join(logs) logs_str = "".join(logs)
assert "-100" in logs_str assert "-100" in logs_str
assert "get_boiling_point" in logs_str assert "get_boiling_point" in logs_str
@ -379,21 +296,16 @@ def test_custom_tool_infinite_loop(llama_stack_client, agent_config):
"max_infer_iters": 5, "max_infer_iters": 5,
} }
agent = Agent(llama_stack_client, **agent_config) agent = build_agent(llama_stack_client, agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
response = agent.create_turn( _, events, _ = collect_turn(
messages=[ agent,
{ session_id,
"role": "user", messages=[text_message("Get the boiling point of polyjuice with a tool call.")],
"content": "Get the boiling point of polyjuice with a tool call.",
},
],
session_id=session_id,
stream=False,
) )
num_tool_calls = sum([1 if step.step_type == "tool_execution" else 0 for step in response.steps]) num_tool_calls = sum(1 for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution")
assert num_tool_calls <= 5 assert num_tool_calls <= 5
@ -402,6 +314,7 @@ def test_tool_choice_required(llama_stack_client, agent_config):
assert len(tool_execution_steps) > 0 assert len(tool_execution_steps) > 0
@pytest.mark.xfail(reason="Agent tool choice configuration not yet supported")
def test_tool_choice_none(llama_stack_client, agent_config): def test_tool_choice_none(llama_stack_client, agent_config):
tool_execution_steps = run_agent_with_tool_choice(llama_stack_client, agent_config, "none") tool_execution_steps = run_agent_with_tool_choice(llama_stack_client, agent_config, "none")
assert len(tool_execution_steps) == 0 assert len(tool_execution_steps) == 0
@ -412,7 +325,7 @@ def test_tool_choice_get_boiling_point(llama_stack_client, agent_config):
pytest.xfail("NotImplemented for non-llama models") pytest.xfail("NotImplemented for non-llama models")
tool_execution_steps = run_agent_with_tool_choice(llama_stack_client, agent_config, "get_boiling_point") tool_execution_steps = run_agent_with_tool_choice(llama_stack_client, agent_config, "get_boiling_point")
assert len(tool_execution_steps) >= 1 and tool_execution_steps[0].tool_calls[0].tool_name == "get_boiling_point" assert len(tool_execution_steps) >= 1 and tool_execution_steps[0].result.tool_calls[0].tool_name == "get_boiling_point"
def run_agent_with_tool_choice(client, agent_config, tool_choice): def run_agent_with_tool_choice(client, agent_config, tool_choice):
@ -425,21 +338,16 @@ def run_agent_with_tool_choice(client, agent_config, tool_choice):
"max_infer_iters": 2, "max_infer_iters": 2,
} }
agent = Agent(client, **test_agent_config) agent = build_agent(client, test_agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
response = agent.create_turn( _, events, _ = collect_turn(
messages=[ agent,
{ session_id,
"role": "user", messages=[text_message("What is the boiling point of the liquid polyjuice in celsius?")],
"content": "What is the boiling point of the liquid polyjuice in celsius?",
},
],
session_id=session_id,
stream=False,
) )
return [step for step in response.steps if step.step_type == "tool_execution"] return [event for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution"]
@pytest.mark.parametrize( @pytest.mark.parametrize(
@ -455,40 +363,26 @@ def test_create_turn_response(llama_stack_client, agent_config, client_tools):
"tools": [client_tool], "tools": [client_tool],
} }
agent = Agent(llama_stack_client, **agent_config) agent = build_agent(llama_stack_client, agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
input_prompt = f"Call {client_tools[0].__name__} tool and answer What is the boiling point of polyjuice?" input_prompt = f"Call {client_tools[0].__name__} tool and answer What is the boiling point of polyjuice?"
response = agent.create_turn( _, events, final_response = collect_turn(
messages=[ agent,
{ session_id,
"role": "user", messages=[text_message(input_prompt)],
"content": input_prompt,
},
],
session_id=session_id,
stream=False,
) )
assert len(response.input_messages) == 1
assert input_prompt == response.input_messages[0].content
steps = response.steps tool_events = [event for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution"]
assert len(steps) >= 3 # some models call the tool twice assert len(tool_events) >= 1
assert steps[0].step_type == "inference" tool_exec = tool_events[0]
assert steps[1].step_type == "tool_execution" assert tool_exec.result.tool_calls[0].tool_name.startswith("get_boiling_point")
assert steps[1].tool_calls[0].tool_name.startswith("get_boiling_point")
if expects_metadata: if expects_metadata:
assert steps[1].tool_responses[0].metadata["source"] == "https://www.google.com" assert tool_exec.result.tool_responses[0]["metadata"]["source"] == "https://www.google.com"
assert steps[2].step_type == "inference"
last_step_completed_at = None inference_events = [event for event in events if isinstance(event, StepCompleted) and event.step_type == "inference"]
for step in steps: assert len(inference_events) >= 2
if last_step_completed_at is None: assert "polyjuice" in final_response.output_text.lower()
last_step_completed_at = step.completed_at
else:
assert last_step_completed_at < step.started_at
assert step.started_at < step.completed_at
last_step_completed_at = step.completed_at
def test_multi_tool_calls(llama_stack_client, agent_config): def test_multi_tool_calls(llama_stack_client, agent_config):
@ -500,44 +394,25 @@ def test_multi_tool_calls(llama_stack_client, agent_config):
"tools": [get_boiling_point], "tools": [get_boiling_point],
} }
agent = Agent(llama_stack_client, **agent_config) agent = build_agent(llama_stack_client, agent_config)
session_id = agent.create_session(f"test-session-{uuid4()}") session_id = agent.create_session(f"test-session-{uuid4()}")
response = agent.create_turn( _, events, final_response = collect_turn(
agent,
session_id,
messages=[ messages=[
{ text_message(
"role": "user", "Call get_boiling_point twice to answer: What is the boiling point of polyjuice in both celsius and fahrenheit?.\nUse the tool responses to answer the question."
"content": "Call get_boiling_point twice to answer: What is the boiling point of polyjuice in both celsius and fahrenheit?.\nUse the tool responses to answer the question.", )
},
], ],
session_id=session_id,
stream=False,
) )
steps = response.steps
has_input_shield = agent_config.get("input_shields") tool_exec_events = [event for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution"]
has_output_shield = agent_config.get("output_shields") assert len(tool_exec_events) >= 1
assert len(steps) == 3 + (2 if has_input_shield else 0) + (2 if has_output_shield else 0) tool_exec = tool_exec_events[0]
if has_input_shield: assert len(tool_exec.result.tool_calls) == 2
assert steps[0].step_type == "shield_call" assert tool_exec.result.tool_calls[0].tool_name.startswith("get_boiling_point")
steps.pop(0) assert tool_exec.result.tool_calls[1].tool_name.startswith("get_boiling_point")
assert steps[0].step_type == "inference"
if has_output_shield:
assert steps[1].step_type == "shield_call"
steps.pop(1)
assert steps[1].step_type == "tool_execution"
tool_execution_step = steps[1]
if has_input_shield:
assert steps[2].step_type == "shield_call"
steps.pop(2)
assert steps[2].step_type == "inference"
if has_output_shield:
assert steps[3].step_type == "shield_call"
steps.pop(3)
assert len(tool_execution_step.tool_calls) == 2 output = final_response.output_text.lower()
assert tool_execution_step.tool_calls[0].tool_name.startswith("get_boiling_point")
assert tool_execution_step.tool_calls[1].tool_name.startswith("get_boiling_point")
output = response.output_message.content.lower()
assert "-100" in output and "-212" in output assert "-100" in output and "-212" in output

91
tests/integration/tool_runtime/test_mcp.py
View file

@ -7,7 +7,8 @@
import json import json
import pytest import pytest
from llama_stack_client import Agent from llama_stack_client.lib.agents.agent import Agent
from llama_stack_client.lib.agents.turn_events import StepCompleted, StepProgress, ToolCallIssuedDelta
from llama_stack import LlamaStackAsLibraryClient from llama_stack import LlamaStackAsLibraryClient
from llama_stack.core.datatypes import AuthenticationRequiredError from llama_stack.core.datatypes import AuthenticationRequiredError
@ -56,12 +57,12 @@ def test_mcp_invocation(llama_stack_client, text_model_id, mcp_server):
with pytest.raises(Exception, match="Unauthorized"): with pytest.raises(Exception, match="Unauthorized"):
llama_stack_client.tools.list(toolgroup_id=test_toolgroup_id) llama_stack_client.tools.list(toolgroup_id=test_toolgroup_id)
response = llama_stack_client.tools.list( tools_list = llama_stack_client.tools.list(
toolgroup_id=test_toolgroup_id, toolgroup_id=test_toolgroup_id,
extra_headers=auth_headers, extra_headers=auth_headers,
) )
assert len(response) == 2 assert len(tools_list) == 2
assert {t.name for t in response} == {"greet_everyone", "get_boiling_point"} assert {t.name for t in tools_list} == {"greet_everyone", "get_boiling_point"}
response = llama_stack_client.tool_runtime.invoke_tool( response = llama_stack_client.tool_runtime.invoke_tool(
tool_name="greet_everyone", tool_name="greet_everyone",
@ -74,59 +75,83 @@ def test_mcp_invocation(llama_stack_client, text_model_id, mcp_server):
assert content[0].text == "Hello, world!" assert content[0].text == "Hello, world!"
print(f"Using model: {text_model_id}") print(f"Using model: {text_model_id}")
tool_defs = [
{
"type": "mcp",
"server_url": uri,
"server_label": test_toolgroup_id,
"require_approval": "never",
"allowed_tools": [tool.name for tool in tools_list],
}
]
agent = Agent( agent = Agent(
client=llama_stack_client, client=llama_stack_client,
model=text_model_id, model=text_model_id,
instructions="You are a helpful assistant.", instructions="You are a helpful assistant.",
tools=[test_toolgroup_id], tools=tool_defs,
) )
session_id = agent.create_session("test-session") session_id = agent.create_session("test-session")
response = agent.create_turn( chunks = list(
session_id=session_id, agent.create_turn(
messages=[ session_id=session_id,
{ messages=[
"role": "user", {
"content": "Say hi to the world. Use tools to do so.", "type": "message",
} "role": "user",
], "content": [
stream=False, {
extra_headers=auth_headers, "type": "input_text",
"text": "Say hi to the world. Use tools to do so.",
}
],
}
],
stream=True,
extra_headers=auth_headers,
)
) )
steps = response.steps
first = steps[0]
assert first.step_type == "inference"
assert len(first.api_model_response.tool_calls) == 1
tool_call = first.api_model_response.tool_calls[0]
assert tool_call.tool_name == "greet_everyone"
second = steps[1] events = [chunk.event for chunk in chunks]
assert second.step_type == "tool_execution" final_response = next((chunk.response for chunk in reversed(chunks) if chunk.response), None)
tool_response_content = second.tool_responses[0].content assert final_response is not None
assert len(tool_response_content) == 1
assert tool_response_content[0].type == "text"
assert tool_response_content[0].text == "Hello, world!"
third = steps[2] issued_calls = [
assert third.step_type == "inference" event
for event in events
if isinstance(event, StepProgress) and isinstance(event.delta, ToolCallIssuedDelta)
]
assert issued_calls and issued_calls[0].delta.tool_name == "greet_everyone"
tool_events = [event for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution"]
assert tool_events and tool_events[0].result.tool_calls[0].tool_name == "greet_everyone"
assert "hello" in final_response.output_text.lower()
# when streaming, we currently don't check auth headers upfront and fail the request # when streaming, we currently don't check auth headers upfront and fail the request
# early. but we should at least be generating a 401 later in the process. # early. but we should at least be generating a 401 later in the process.
response = agent.create_turn( response_stream = agent.create_turn(
session_id=session_id, session_id=session_id,
messages=[ messages=[
{ {
"type": "message",
"role": "user", "role": "user",
"content": "What is the boiling point of polyjuice? Use tools to answer.", "content": [
{
"type": "input_text",
"text": "What is the boiling point of polyjuice? Use tools to answer.",
}
],
} }
], ],
stream=True, stream=True,
) )
if isinstance(llama_stack_client, LlamaStackAsLibraryClient): if isinstance(llama_stack_client, LlamaStackAsLibraryClient):
with pytest.raises(AuthenticationRequiredError): with pytest.raises(AuthenticationRequiredError):
for _ in response: for _ in response_stream:
pass pass
else: else:
error_chunks = [chunk for chunk in response if "error" in chunk.model_dump()] error_chunks = [chunk for chunk in response_stream if "error" in chunk.model_dump()]
assert len(error_chunks) == 1 assert len(error_chunks) == 1
chunk = error_chunks[0].model_dump() chunk = error_chunks[0].model_dump()
assert "Unauthorized" in chunk["error"]["message"] assert "Unauthorized" in chunk["error"]["message"]

59
tests/integration/tool_runtime/test_mcp_json_schema.py
View file

@ -348,7 +348,8 @@ class TestAgentWithMCPTools:
if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): if not isinstance(llama_stack_client, LlamaStackAsLibraryClient):
pytest.skip("Library client required for local MCP server") pytest.skip("Library client required for local MCP server")
from llama_stack_client import Agent from llama_stack_client.lib.agents.agent import Agent
from llama_stack_client.lib.agents.turn_events import StepCompleted
test_toolgroup_id = "mcp::complex_agent" test_toolgroup_id = "mcp::complex_agent"
uri = mcp_server_with_complex_schemas["server_url"] uri = mcp_server_with_complex_schemas["server_url"]
@ -369,36 +370,54 @@ class TestAgentWithMCPTools:
"X-LlamaStack-Provider-Data": json.dumps(provider_data), "X-LlamaStack-Provider-Data": json.dumps(provider_data),
} }
# Create agent with MCP tools tools_list = llama_stack_client.tools.list(
toolgroup_id=test_toolgroup_id,
extra_headers=auth_headers,
)
tool_defs = [
{
"type": "mcp",
"server_url": uri,
"server_label": test_toolgroup_id,
"require_approval": "never",
"allowed_tools": [tool.name for tool in tools_list],
}
]
agent = Agent( agent = Agent(
client=llama_stack_client, client=llama_stack_client,
model=text_model_id, model=text_model_id,
instructions="You are a helpful assistant that can process orders and book flights.", instructions="You are a helpful assistant that can process orders and book flights.",
tools=[test_toolgroup_id], tools=tool_defs,
extra_headers=auth_headers, extra_headers=auth_headers,
) )
session_id = agent.create_session("test-session-complex") session_id = agent.create_session("test-session-complex")
# Ask agent to use a tool with complex schema # Ask agent to use a tool with complex schema
response = agent.create_turn( chunks = list(
session_id=session_id, agent.create_turn(
messages=[ session_id=session_id,
{"role": "user", "content": "Process an order with 2 widgets going to 123 Main St, San Francisco"} messages=[
], {
stream=False, "type": "message",
extra_headers=auth_headers, "role": "user",
"content": [
{
"type": "input_text",
"text": "Process an order with 2 widgets going to 123 Main St, San Francisco",
}
],
}
],
stream=True,
extra_headers=auth_headers,
)
) )
steps = response.steps events = [chunk.event for chunk in chunks]
tool_execution_steps = [event for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution"]
# Verify agent was able to call the tool
# (The LLM should have been able to understand the schema and formulate a valid call)
tool_execution_steps = [s for s in steps if s.step_type == "tool_execution"]
# Agent might or might not call the tool depending on the model
# But if it does, there should be no errors
for step in tool_execution_steps: for step in tool_execution_steps:
if step.tool_responses: for tool_response in step.result.tool_responses:
for tool_response in step.tool_responses: assert tool_response.get("content") is not None
assert tool_response.content is not None