mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
540193ccef
* Enable Ollama integration tests in CI and rename report to Integration Test Report
- Install Ollama, cache models (qwen2.5:0.5b + nomic-embed-text), and start
server in the Misc integration job for both workflow files
- Set OLLAMA_MODEL and OLLAMA_EMBEDDING_MODEL env vars so the 5 Ollama tests
are no longer skipped
- Rename Flaky Test Report to Integration Test Report throughout (job names,
artifact names, cache keys, file names, script titles/docstrings)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Ollama model to qwen2.5:1.5b for better instruction following
The 0.5b model was too small to reliably follow simple prompts like
'Say Hello World', causing test assertion failures. The 1.5b model
follows instructions more reliably while still being small enough
for fast CI pulls (~1GB).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable reliable streaming integration tests
Remove the hard skip on test_03_reliable_streaming tests that was
temporarily disabled for instability investigation. CI infrastructure
(Azurite, DTS emulator, Redis, func CLI) is already in place.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable skipped Functions/DurableTask tests and bump timeout to 480s
- Remove hard skips from 4 tests in test_11_workflow_parallel.py
- Remove hard skip from test_conditional_branching in test_06_dt_multi_agent_orchestration_conditionals.py
- Increase pytest --timeout from 360 to 480 for Functions+DurableTask CI job
- Updated in both python-merge-tests.yml and python-integration-tests.yml
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-skip failing Functions/DurableTask tests with specific root causes
- test_11_workflow_parallel (4 tests): xdist worker crashes during execution
- test_conditional_branching: orchestration fails with RuntimeError, not a timeout
- Keep 480s timeout bump for remaining Functions tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix auth routing in samples 06/11: api_key -> credential for Azure OpenAI
Both samples passed a bearer token provider via api_key= which caused the
client to route to api.openai.com instead of Azure OpenAI, resulting in
401 Unauthorized. Changed to credential= which correctly triggers Azure
routing and picks up AZURE_OPENAI_ENDPOINT from the environment.
- samples/azure_functions/11_workflow_parallel/function_app.py: 1 fix
- samples/durabletask/06_multi_agent_orchestration_conditionals/worker.py: 2 fixes
- Re-enable 4 parallel workflow tests and 1 conditional branching test
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-skip parallel workflow tests: xdist worker distribution issue
The 4 parallel workflow tests crash because xdist worksteal distributes
them across separate workers, each spawning its own func process against
shared emulators. Auth fix (api_key->credential) was valid and stays.
test_conditional_branching now passes with the auth fix.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix E501 line-too-long in azurefunctions parallel test skip reasons
Wrap skip reason strings to stay within 120 char line limit.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add retry logic and port-conflict fix for Ollama CI setup
- Kill any auto-started Ollama before launching serve (fixes port
conflict: 'address already in use')
- Retry ollama pull up to 3 times with 15s backoff (fixes 429 rate
limit failures)
- Applied to both python-merge-tests.yml and python-integration-tests.yml
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix flaky integration tests and re-enable skipped tests
- Foundry agent: add allow_preview=True to custom client test
- Foundry hosting: raise max_output_tokens 50->200, add temperature,
relax assertion in test_temperature_and_max_tokens
- Foundry embedding: update skip reason with root cause (endpoint mismatch)
- OpenAI file search: fix vector store indexing race condition by polling
file_counts before querying; fix get_streaming_response -> get_response(stream=True)
- Azure OpenAI file search: remove skip (transient 500 resolved)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Remove temperature from foundry hosting test (unsupported by CI model)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Stabilize Ollama tool call integration tests with no-arg function
Use a no-argument greet() function instead of hello_world(arg1) for
integration tests. The 1.5B model in CI is unreliable at generating
correct tool call arguments, causing 'Argument parsing failed' errors.
A no-arg function eliminates this flakiness entirely.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Increase reliable streaming test timeouts from 30s to 60s
The LLM call through Azure OpenAI + Redis streaming pipeline can exceed
30s in CI due to cold starts or throttling. Raise to 60s to reduce
flaky timeouts while still bounded by pytest's 120s per-test limit.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Re-enable workflow parallel tests with xdist_group marker
The tests were skipped because xdist distributes module tests across
workers, each spawning their own func process (port conflicts). Adding
xdist_group forces all tests in this module onto a single worker so
the module-scoped function_app_for_test fixture works correctly.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert "Re-enable workflow parallel tests with xdist_group marker"
This reverts commit 455c28da62.
* Rename flaky_report to integration_test_report and add try/finally cleanup
- Rename scripts/flaky_report/ to scripts/integration_test_report/ to
reflect expanded scope beyond flaky-test detection
- Update workflow references in both CI files
- Wrap file search integration tests in try/finally to ensure vector
store cleanup runs even on test failure or timeout
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Ollama pull failure propagation and Azure OpenAI vector store readiness
- Ollama CI: fail the step immediately if model pull fails after 3
retries instead of silently proceeding to tests
- Azure OpenAI file search: add the same vector-store readiness polling
that was applied to the non-Azure OpenAI tests, preventing eventual
consistency race conditions
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* remove load_dotenv from test file
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
577 lines
19 KiB
Python
577 lines
19 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import os
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from collections.abc import AsyncIterable
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from typing import Any
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from agent_framework import (
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BaseChatClient,
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ChatResponseUpdate,
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Content,
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Message,
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chat_middleware,
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tool,
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)
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from agent_framework.exceptions import ChatClientException, ChatClientInvalidRequestException, SettingNotFoundError
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from ollama import AsyncClient
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from ollama._types import ChatResponse as OllamaChatResponse
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from ollama._types import Message as OllamaMessage
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from openai import AsyncStream
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from pytest import fixture
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from agent_framework_ollama import OllamaChatClient
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# region Service Setup
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skip_if_azure_integration_tests_disabled = pytest.mark.skipif(
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os.getenv("OLLAMA_MODEL", "") in ("", "test-model"),
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reason="No real Ollama chat model provided; skipping integration tests.",
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)
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# region: Connector Settings fixtures
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@fixture
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def exclude_list(request: Any) -> list[str]:
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"""Fixture that returns a list of environment variables to exclude."""
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return request.param if hasattr(request, "param") else []
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@fixture
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def override_env_param_dict(request: Any) -> dict[str, str]:
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"""Fixture that returns a dict of environment variables to override."""
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return request.param if hasattr(request, "param") else {}
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# These two fixtures are used for multiple things, also non-connector tests
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@fixture()
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def ollama_unit_test_env(monkeypatch, exclude_list, override_env_param_dict): # type: ignore
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"""Fixture to set environment variables for OllamaSettings."""
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if exclude_list is None:
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exclude_list = []
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if override_env_param_dict is None:
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override_env_param_dict = {}
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env_vars = {"OLLAMA_HOST": "http://localhost:12345", "OLLAMA_MODEL": "test"}
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env_vars.update(override_env_param_dict) # type: ignore
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for key, value in env_vars.items():
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if key in exclude_list:
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monkeypatch.delenv(key, raising=False) # type: ignore
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continue
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monkeypatch.setenv(key, value) # type: ignore
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return env_vars
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@fixture
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def chat_history() -> list[Message]:
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return []
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@fixture
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def mock_streaming_chat_completion_response() -> AsyncStream[OllamaChatResponse]:
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response = OllamaChatResponse(
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message=OllamaMessage(content="test", role="assistant"),
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model="test",
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)
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stream = MagicMock(spec=AsyncStream)
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stream.__aiter__.return_value = [response]
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return stream
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@fixture
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def mock_streaming_chat_completion_response_reasoning() -> AsyncStream[OllamaChatResponse]:
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response = OllamaChatResponse(
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message=OllamaMessage(thinking="test", role="assistant"),
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model="test",
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)
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stream = MagicMock(spec=AsyncStream)
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stream.__aiter__.return_value = [response]
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return stream
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@fixture
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def mock_chat_completion_response() -> OllamaChatResponse:
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return OllamaChatResponse(
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message=OllamaMessage(content="test", role="assistant"),
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model="test",
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eval_count=1,
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prompt_eval_count=1,
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created_at="2024-01-01T00:00:00Z",
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)
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@fixture
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def mock_chat_completion_response_reasoning() -> OllamaChatResponse:
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return OllamaChatResponse(
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message=OllamaMessage(thinking="test", role="assistant"),
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model="test",
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eval_count=1,
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prompt_eval_count=1,
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created_at="2024-01-01T00:00:00Z",
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)
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@fixture
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def mock_streaming_chat_completion_tool_call() -> AsyncStream[OllamaChatResponse]:
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ollama_tool_call = OllamaChatResponse(
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message=OllamaMessage(
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content="",
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role="assistant",
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tool_calls=[{"function": {"name": "hello_world", "arguments": {"arg1": "value1"}}}],
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),
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model="test",
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)
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stream = MagicMock(spec=AsyncStream)
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stream.__aiter__.return_value = [ollama_tool_call]
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return stream
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@fixture
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def mock_chat_completion_tool_call() -> OllamaChatResponse:
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return OllamaChatResponse(
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message=OllamaMessage(
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content="",
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role="assistant",
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tool_calls=[{"function": {"name": "hello_world", "arguments": {"arg1": "value1"}}}],
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),
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model="test",
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created_at="2024-01-01T00:00:00Z",
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)
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@tool(approval_mode="never_require")
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def hello_world(arg1: str) -> str:
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return "Hello World"
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@tool(approval_mode="never_require")
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def greet() -> str:
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"""Say hello to the world. No-arg tool for integration tests to avoid argument parsing flakiness."""
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return "Hello World"
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def test_init(ollama_unit_test_env: dict[str, str]) -> None:
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# Test successful initialization
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ollama_chat_client = OllamaChatClient()
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assert ollama_chat_client.client is not None
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assert isinstance(ollama_chat_client.client, AsyncClient)
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assert ollama_chat_client.model == ollama_unit_test_env["OLLAMA_MODEL"]
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assert isinstance(ollama_chat_client, BaseChatClient)
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def test_init_client(ollama_unit_test_env: dict[str, str]) -> None:
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# Test successful initialization with provided client
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test_client = MagicMock(spec=AsyncClient)
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# Mock underlying HTTP client's base_url
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test_client._client = MagicMock()
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test_client._client.base_url = ollama_unit_test_env["OLLAMA_MODEL"]
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ollama_chat_client = OllamaChatClient(client=test_client)
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assert ollama_chat_client.client is test_client
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assert ollama_chat_client.model == ollama_unit_test_env["OLLAMA_MODEL"]
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assert isinstance(ollama_chat_client, BaseChatClient)
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@pytest.mark.parametrize("exclude_list", [["OLLAMA_MODEL"]], indirect=True)
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def test_with_invalid_settings(ollama_unit_test_env: dict[str, str]) -> None:
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with pytest.raises(SettingNotFoundError, match="Required setting 'model'"):
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OllamaChatClient(
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host="http://localhost:12345",
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model=None,
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)
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def test_serialize(ollama_unit_test_env: dict[str, str]) -> None:
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settings = {
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"host": ollama_unit_test_env["OLLAMA_HOST"],
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"model": ollama_unit_test_env["OLLAMA_MODEL"],
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}
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ollama_chat_client = OllamaChatClient.from_dict(settings)
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serialized = ollama_chat_client.to_dict()
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assert isinstance(serialized, dict)
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assert serialized["host"] == ollama_unit_test_env["OLLAMA_HOST"]
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assert serialized["model"] == ollama_unit_test_env["OLLAMA_MODEL"]
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def test_chat_middleware(ollama_unit_test_env: dict[str, str]) -> None:
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@chat_middleware
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async def sample_middleware(context, call_next):
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await call_next()
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ollama_chat_client = OllamaChatClient(middleware=[sample_middleware])
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assert len(ollama_chat_client.middleware) == 1
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assert ollama_chat_client.middleware[0] == sample_middleware
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def test_additional_properties(ollama_unit_test_env: dict[str, str]) -> None:
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additional_properties = {
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"user_location": {
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"country": "US",
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"city": "Seattle",
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}
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}
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ollama_chat_client = OllamaChatClient(
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additional_properties=additional_properties,
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)
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assert ollama_chat_client.additional_properties == additional_properties
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# region CMC
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async def test_empty_messages() -> None:
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ollama_chat_client = OllamaChatClient(
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host="http://localhost:12345",
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model="test-model",
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)
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with pytest.raises(ChatClientInvalidRequestException):
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await ollama_chat_client.get_response(messages=[])
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc(
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mock_chat: AsyncMock,
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ollama_unit_test_env: dict[str, str],
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chat_history: list[Message],
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mock_chat_completion_response: AsyncStream[OllamaChatResponse],
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) -> None:
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mock_chat.return_value = mock_chat_completion_response
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chat_history.append(Message(contents=["hello world"], role="system"))
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chat_history.append(Message(contents=["hello world"], role="user"))
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ollama_client = OllamaChatClient()
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result = await ollama_client.get_response(messages=chat_history)
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assert result.text == "test"
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc_response_format_dict(
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mock_chat: AsyncMock,
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ollama_unit_test_env: dict[str, str],
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chat_history: list[Message],
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) -> None:
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mock_chat.return_value = OllamaChatResponse(
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message=OllamaMessage(content='{"answer": "test"}', role="assistant"),
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model="test",
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eval_count=1,
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prompt_eval_count=1,
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created_at="2024-01-01T00:00:00Z",
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)
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chat_history.append(Message(contents=["hello world"], role="system"))
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chat_history.append(Message(contents=["hello world"], role="user"))
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ollama_client = OllamaChatClient()
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result = await ollama_client.get_response(
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messages=chat_history,
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options={"response_format": {"type": "object", "properties": {"answer": {"type": "string"}}}},
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)
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assert result.value is not None
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assert isinstance(result.value, dict)
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assert result.value["answer"] == "test"
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc_reasoning(
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mock_chat: AsyncMock,
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ollama_unit_test_env: dict[str, str],
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chat_history: list[Message],
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mock_chat_completion_response_reasoning: AsyncStream[OllamaChatResponse],
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) -> None:
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mock_chat.return_value = mock_chat_completion_response_reasoning
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chat_history.append(Message(contents=["hello world"], role="user"))
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ollama_client = OllamaChatClient()
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result = await ollama_client.get_response(messages=chat_history)
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reasoning = "".join(c.text for c in result.messages.pop().contents if c.type == "text_reasoning")
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assert reasoning == "test"
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc_chat_failure(
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mock_chat: AsyncMock,
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ollama_unit_test_env: dict[str, str],
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chat_history: list[Message],
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) -> None:
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# Simulate a failure in the Ollama client
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mock_chat.side_effect = Exception("Connection error")
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chat_history.append(Message(contents=["hello world"], role="user"))
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ollama_client = OllamaChatClient()
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with pytest.raises(ChatClientException) as exc_info:
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await ollama_client.get_response(messages=chat_history)
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assert "Ollama chat request failed" in str(exc_info.value)
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assert "Connection error" in str(exc_info.value)
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc_streaming(
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mock_chat: AsyncMock,
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ollama_unit_test_env: dict[str, str],
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chat_history: list[Message],
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mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse],
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) -> None:
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mock_chat.return_value = mock_streaming_chat_completion_response
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chat_history.append(Message(contents=["hello world"], role="system"))
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chat_history.append(Message(contents=["hello world"], role="user"))
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ollama_client = OllamaChatClient()
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result = ollama_client.get_response(messages=chat_history, stream=True)
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async for chunk in result:
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assert chunk.text == "test"
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc_streaming_reasoning(
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mock_chat: AsyncMock,
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ollama_unit_test_env: dict[str, str],
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chat_history: list[Message],
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mock_streaming_chat_completion_response_reasoning: AsyncStream[OllamaChatResponse],
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) -> None:
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mock_chat.return_value = mock_streaming_chat_completion_response_reasoning
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chat_history.append(Message(contents=["hello world"], role="user"))
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ollama_client = OllamaChatClient()
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result = ollama_client.get_response(messages=chat_history, stream=True)
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async for chunk in result:
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reasoning = "".join(c.text for c in chunk.contents if c.type == "text_reasoning")
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assert reasoning == "test"
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc_streaming_chat_failure(
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mock_chat: AsyncMock,
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ollama_unit_test_env: dict[str, str],
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chat_history: list[Message],
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) -> None:
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# Simulate a failure in the Ollama client for streaming
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mock_chat.side_effect = Exception("Streaming connection error")
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chat_history.append(Message(contents=["hello world"], role="user"))
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ollama_client = OllamaChatClient()
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with pytest.raises(ChatClientException) as exc_info:
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async for _ in ollama_client.get_response(messages=chat_history, stream=True):
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pass
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assert "Ollama streaming chat request failed" in str(exc_info.value)
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assert "Streaming connection error" in str(exc_info.value)
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@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
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async def test_cmc_streaming_with_tool_call(
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mock_chat: AsyncMock,
|
|
ollama_unit_test_env: dict[str, str],
|
|
chat_history: list[Message],
|
|
mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse],
|
|
mock_streaming_chat_completion_tool_call: AsyncStream[OllamaChatResponse],
|
|
) -> None:
|
|
mock_chat.side_effect = [
|
|
mock_streaming_chat_completion_tool_call,
|
|
mock_streaming_chat_completion_response,
|
|
]
|
|
|
|
chat_history.append(Message(contents=["hello world"], role="user"))
|
|
|
|
ollama_client = OllamaChatClient()
|
|
result = ollama_client.get_response(messages=chat_history, stream=True, options={"tools": [hello_world]})
|
|
|
|
chunks: list[ChatResponseUpdate] = []
|
|
async for chunk in result:
|
|
chunks.append(chunk)
|
|
|
|
# Check parsed Toolcalls
|
|
assert chunks[0].contents[0].type == "function_call"
|
|
tool_call = chunks[0].contents[0]
|
|
assert tool_call.name == "hello_world"
|
|
assert tool_call.arguments == {"arg1": "value1"}
|
|
assert chunks[1].contents[0].type == "function_result"
|
|
tool_result = chunks[1].contents[0]
|
|
assert tool_result.result == "Hello World"
|
|
assert chunks[2].contents[0].type == "text"
|
|
text_result = chunks[2].contents[0]
|
|
assert text_result.text == "test"
|
|
|
|
|
|
@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
|
|
async def test_cmc_with_dict_tool_passthrough(
|
|
mock_chat: AsyncMock,
|
|
ollama_unit_test_env: dict[str, str],
|
|
chat_history: list[Message],
|
|
mock_chat_completion_response: OllamaChatResponse,
|
|
) -> None:
|
|
"""Test that dict-based tools are passed through to Ollama."""
|
|
mock_chat.return_value = mock_chat_completion_response
|
|
chat_history.append(Message(contents=["hello world"], role="user"))
|
|
|
|
ollama_client = OllamaChatClient()
|
|
await ollama_client.get_response(
|
|
messages=chat_history,
|
|
options={
|
|
"tools": [{"type": "function", "function": {"name": "custom_tool", "parameters": {}}}],
|
|
},
|
|
)
|
|
|
|
# Verify the tool was passed through to the Ollama client
|
|
mock_chat.assert_called_once()
|
|
call_kwargs = mock_chat.call_args.kwargs
|
|
assert "tools" in call_kwargs
|
|
assert call_kwargs["tools"] == [{"type": "function", "function": {"name": "custom_tool", "parameters": {}}}]
|
|
|
|
|
|
@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
|
|
async def test_cmc_with_data_content_type(
|
|
mock_chat: AsyncMock,
|
|
ollama_unit_test_env: dict[str, str],
|
|
chat_history: list[Message],
|
|
mock_chat_completion_response: OllamaChatResponse,
|
|
) -> None:
|
|
mock_chat.return_value = mock_chat_completion_response
|
|
chat_history.append(
|
|
Message(
|
|
contents=[Content.from_uri(uri="data:image/png;base64,xyz", media_type="image/png")],
|
|
role="user",
|
|
)
|
|
)
|
|
|
|
ollama_client = OllamaChatClient()
|
|
|
|
result = await ollama_client.get_response(messages=chat_history)
|
|
assert result.text == "test"
|
|
|
|
|
|
@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
|
|
async def test_cmc_with_invalid_data_content_media_type(
|
|
mock_chat: AsyncMock,
|
|
ollama_unit_test_env: dict[str, str],
|
|
chat_history: list[Message],
|
|
mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse],
|
|
) -> None:
|
|
with pytest.raises(ChatClientInvalidRequestException):
|
|
mock_chat.return_value = mock_streaming_chat_completion_response
|
|
# Remote Uris are not supported by Ollama client
|
|
chat_history.append(
|
|
Message(
|
|
contents=[Content.from_uri(uri="data:audio/mp3;base64,xyz", media_type="audio/mp3")],
|
|
role="user",
|
|
)
|
|
)
|
|
|
|
ollama_client = OllamaChatClient()
|
|
ollama_client.client.chat = AsyncMock(return_value=mock_streaming_chat_completion_response)
|
|
|
|
await ollama_client.get_response(messages=chat_history)
|
|
|
|
|
|
@patch.object(AsyncClient, "chat", new_callable=AsyncMock)
|
|
async def test_cmc_with_invalid_content_type(
|
|
mock_chat: AsyncMock,
|
|
ollama_unit_test_env: dict[str, str],
|
|
chat_history: list[Message],
|
|
mock_chat_completion_response: AsyncStream[OllamaChatResponse],
|
|
) -> None:
|
|
with pytest.raises(ChatClientInvalidRequestException):
|
|
mock_chat.return_value = mock_chat_completion_response
|
|
# Remote Uris are not supported by Ollama client
|
|
chat_history.append(
|
|
Message(
|
|
contents=[Content.from_uri(uri="http://example.com/image.png", media_type="image/png")],
|
|
role="user",
|
|
)
|
|
)
|
|
|
|
ollama_client = OllamaChatClient()
|
|
|
|
await ollama_client.get_response(messages=chat_history)
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@pytest.mark.integration
|
|
@skip_if_azure_integration_tests_disabled
|
|
async def test_cmc_integration_with_tool_call(
|
|
chat_history: list[Message],
|
|
) -> None:
|
|
chat_history.append(Message(contents=["Call the greet function and repeat what it says"], role="user"))
|
|
|
|
ollama_client = OllamaChatClient()
|
|
result = await ollama_client.get_response(messages=chat_history, options={"tools": [greet]})
|
|
|
|
assert "hello" in result.text.lower() and "world" in result.text.lower()
|
|
assert result.messages[-2].contents[0].type == "function_result"
|
|
tool_result = result.messages[-2].contents[0]
|
|
assert tool_result.result == "Hello World"
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@pytest.mark.integration
|
|
@skip_if_azure_integration_tests_disabled
|
|
async def test_cmc_integration_with_chat_completion(
|
|
chat_history: list[Message],
|
|
) -> None:
|
|
chat_history.append(Message(contents=["Say Hello World"], role="user"))
|
|
|
|
ollama_client = OllamaChatClient()
|
|
result = await ollama_client.get_response(messages=chat_history)
|
|
|
|
assert "hello" in result.text.lower()
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@pytest.mark.integration
|
|
@skip_if_azure_integration_tests_disabled
|
|
async def test_cmc_streaming_integration_with_tool_call(
|
|
chat_history: list[Message],
|
|
) -> None:
|
|
chat_history.append(Message(contents=["Call the greet function and repeat what it says"], role="user"))
|
|
|
|
ollama_client = OllamaChatClient()
|
|
result: AsyncIterable[ChatResponseUpdate] = ollama_client.get_response(
|
|
messages=chat_history, stream=True, options={"tools": [greet]}
|
|
)
|
|
|
|
chunks: list[ChatResponseUpdate] = []
|
|
async for chunk in result:
|
|
chunks.append(chunk)
|
|
|
|
for c in chunks:
|
|
if len(c.contents) > 0:
|
|
if c.contents[0].type == "function_result":
|
|
tool_result = c.contents[0]
|
|
assert tool_result.result == "Hello World"
|
|
if c.contents[0].type == "function_call":
|
|
tool_call = c.contents[0]
|
|
assert tool_call.name == "greet"
|
|
|
|
|
|
@pytest.mark.flaky
|
|
@pytest.mark.integration
|
|
@skip_if_azure_integration_tests_disabled
|
|
async def test_cmc_streaming_integration_with_chat_completion(
|
|
chat_history: list[Message],
|
|
) -> None:
|
|
chat_history.append(Message(contents=["Say Hello World"], role="user"))
|
|
|
|
ollama_client = OllamaChatClient()
|
|
result: AsyncIterable[ChatResponseUpdate] = ollama_client.get_response(messages=chat_history, stream=True)
|
|
|
|
full_text = ""
|
|
async for chunk in result:
|
|
full_text += chunk.text
|
|
|
|
assert "hello" in full_text.lower() and "world" in full_text.lower()
|