From 06828ee68c25ecfaedd994a7d7161ccd83077d1a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 12 Sep 2025 13:48:14 +0200 Subject: [PATCH 01/37] Initial Commit for Olama Connector --- .../main/agent_framework/olama/__init__.py | 28 +++++ .../main/agent_framework/olama/__init__.pyi | 13 ++ python/packages/main/pyproject.toml | 3 + python/packages/olama/LICENSE | 21 ++++ python/packages/olama/README.md | 9 ++ .../olama/agent_framework_olama/__init__.py | 16 +++ .../agent_framework_olama/_chat_client.py | 114 ++++++++++++++++++ .../olama/agent_framework_olama/py.typed | 0 python/packages/olama/pyproject.toml | 92 ++++++++++++++ python/pyproject.toml | 2 + .../olama_chat_client_basic.py | 61 ++++++++++ 11 files changed, 359 insertions(+) create mode 100644 python/packages/main/agent_framework/olama/__init__.py create mode 100644 python/packages/main/agent_framework/olama/__init__.pyi create mode 100644 python/packages/olama/LICENSE create mode 100644 python/packages/olama/README.md create mode 100644 python/packages/olama/agent_framework_olama/__init__.py create mode 100644 python/packages/olama/agent_framework_olama/_chat_client.py create mode 100644 python/packages/olama/agent_framework_olama/py.typed create mode 100644 python/packages/olama/pyproject.toml create mode 100644 python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py diff --git a/python/packages/main/agent_framework/olama/__init__.py b/python/packages/main/agent_framework/olama/__init__.py new file mode 100644 index 0000000000..392fc86d87 --- /dev/null +++ b/python/packages/main/agent_framework/olama/__init__.py @@ -0,0 +1,28 @@ +# Copyright (c) Microsoft. All rights reserved. + +import importlib +from typing import Any + +PACKAGE_NAME = "agent_framework_olama" +PACKAGE_EXTRA = "olama" +_IMPORTS = [ + "OlamaChatClient", + "OlamaSettings", + "__version__", +] + + +def __getattr__(name: str) -> Any: + if name in _IMPORTS: + try: + return getattr(importlib.import_module(PACKAGE_NAME), name) + except ModuleNotFoundError as exc: + raise ModuleNotFoundError( + f"The '{PACKAGE_EXTRA}' extra is not installed, " + f"please do `pip install agent-framework[{PACKAGE_EXTRA}]`" + ) from exc + raise AttributeError(f"Module {PACKAGE_NAME} has no attribute {name}.") + + +def __dir__() -> list[str]: + return _IMPORTS diff --git a/python/packages/main/agent_framework/olama/__init__.pyi b/python/packages/main/agent_framework/olama/__init__.pyi new file mode 100644 index 0000000000..668a0da459 --- /dev/null +++ b/python/packages/main/agent_framework/olama/__init__.pyi @@ -0,0 +1,13 @@ +# Copyright (c) Microsoft. All rights reserved. + +from agent_framework_olama import ( + OlamaChatClient, + OlamaSettings, + __version__, +) + +__all__ = [ + "OlamaChatClient", + "OlamaSettings", + "__version__", +] diff --git a/python/packages/main/pyproject.toml b/python/packages/main/pyproject.toml index b8fcf2f966..2f3ba7674c 100644 --- a/python/packages/main/pyproject.toml +++ b/python/packages/main/pyproject.toml @@ -39,6 +39,9 @@ azure = [ foundry = [ "agent-framework-foundry" ] +olama = [ + "agent-framework-olama" +] workflow = [ "agent-framework-workflow" ] diff --git a/python/packages/olama/LICENSE b/python/packages/olama/LICENSE new file mode 100644 index 0000000000..9e841e7a26 --- /dev/null +++ b/python/packages/olama/LICENSE @@ -0,0 +1,21 @@ + MIT License + + Copyright (c) Microsoft Corporation. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in all + copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE diff --git a/python/packages/olama/README.md b/python/packages/olama/README.md new file mode 100644 index 0000000000..f27a5e015d --- /dev/null +++ b/python/packages/olama/README.md @@ -0,0 +1,9 @@ +# Get Started with Microsoft Agent Framework Olama + +Please install this package as the extra for `agent-framework`: + +```bash +pip install agent-framework[olama] +``` + +and see the [README](https://github.com/microsoft/agent-framework/tree/main/python/README.md) for more information. diff --git a/python/packages/olama/agent_framework_olama/__init__.py b/python/packages/olama/agent_framework_olama/__init__.py new file mode 100644 index 0000000000..57ad98c82d --- /dev/null +++ b/python/packages/olama/agent_framework_olama/__init__.py @@ -0,0 +1,16 @@ +# Copyright (c) Microsoft. All rights reserved. + +import importlib.metadata + +from ._chat_client import OlamaChatClient, OlamaSettings + +try: + __version__ = importlib.metadata.version(__name__) +except importlib.metadata.PackageNotFoundError: + __version__ = "0.0.0" # Fallback for development mode + +__all__ = [ + "OlamaChatClient", + "OlamaSettings", + "__version__", +] diff --git a/python/packages/olama/agent_framework_olama/_chat_client.py b/python/packages/olama/agent_framework_olama/_chat_client.py new file mode 100644 index 0000000000..6c9b58b4ce --- /dev/null +++ b/python/packages/olama/agent_framework_olama/_chat_client.py @@ -0,0 +1,114 @@ +# Copyright (c) Microsoft. All rights reserved. + +from collections.abc import MutableSequence +from itertools import chain +from typing import Any, AsyncIterable, ClassVar + +from agent_framework import ( + BaseChatClient, + ChatMessage, + ChatOptions, + ChatResponse, + ChatResponseUpdate, + Role, + TextContent, +) +from agent_framework._pydantic import AFBaseSettings +from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError +from ollama import AsyncClient +from ollama._types import ChatResponse as OllamaChatResponse +from ollama._types import Message +from pydantic import ValidationError + + +class OlamaSettings(AFBaseSettings): + """Olama settings.""" + + env_prefix: ClassVar[str] = "OLLAMA_" + + host: str | None = None + chat_model_id: str | None = None + + +class OlamaChatClient(BaseChatClient): + client: AsyncClient + chat_model_id: str + + def __init__( + self, + host: str | None = None, + client: AsyncClient | None = None, + chat_model_id: str | None = None, + ) -> None: + """Initialize an Olama Chat client. + + Args: + host: The Ollama server host URL. If not provided, the default host will be used. + client: An optional Ollama Client instance. If not provided, a new instance will be created. + chat_model_id: The Ollama chat model ID to use.If not provided, the default model will be used. + """ + try: + olama_settings = OlamaSettings(host=host, chat_model_id=chat_model_id) + except ValidationError as ex: + raise ServiceInitializationError("Failed to create Olama settings.", ex) from ex + + client = client or AsyncClient(host=olama_settings.host) + + super().__init__( + client=client, # type: ignore[reportCallIssue] + chat_model_id=olama_settings.chat_model_id, # type: ignore[reportCallIssue] + ) + + async def _inner_get_response( + self, + *, + messages: MutableSequence[ChatMessage], + chat_options: ChatOptions, + **kwargs: Any, + ) -> ChatResponse: + return await ChatResponse.from_chat_response_generator( + updates=self._inner_get_streaming_response(messages=messages, chat_options=chat_options, **kwargs) + ) + + async def _inner_get_streaming_response( + self, + *, + messages: MutableSequence[ChatMessage], + chat_options: ChatOptions, + **kwargs: Any, + ) -> AsyncIterable[ChatResponseUpdate]: + options_dict = self._prepare_options(messages, chat_options) + response_object: AsyncIterable[OllamaChatResponse] = await self.client.chat( # type: ignore[misc] + model=self.chat_model_id, + stream=True, + **options_dict, + ) + + async for part in response_object: + yield self._create_chat_response_update(part) + + def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions) -> dict[str, Any]: + # Preprocess web search tool if it exists + options_dict = chat_options.to_provider_settings() + if messages and "messages" not in options_dict: + options_dict["messages"] = self._prepare_chat_history_for_request(messages) + if "messages" not in options_dict: + raise ServiceInvalidRequestError("Messages are required for chat completions") + return options_dict + + def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[Message]: + list_of_list = [self._olama_chat_message_parser(msg) for msg in messages] + # Flatten the list of lists into a single list + return list(chain.from_iterable(list_of_list)) + + def _olama_chat_message_parser(self, message: ChatMessage) -> list[Message]: + messages: list[Message] = [] + for content in message.contents: + if isinstance(content, TextContent): + messages.append(Message(role=message.role.value, content=content.text)) + return messages + + def _create_chat_response_update(self, response: OllamaChatResponse) -> ChatResponseUpdate: + if response.message.content: + return ChatResponseUpdate(text=response.message.content, role=Role.ASSISTANT) + return ChatResponseUpdate(text="", role=Role.ASSISTANT) diff --git a/python/packages/olama/agent_framework_olama/py.typed b/python/packages/olama/agent_framework_olama/py.typed new file mode 100644 index 0000000000..e69de29bb2 diff --git a/python/packages/olama/pyproject.toml b/python/packages/olama/pyproject.toml new file mode 100644 index 0000000000..1d3c8b7a5a --- /dev/null +++ b/python/packages/olama/pyproject.toml @@ -0,0 +1,92 @@ +[project] +name = "agent-framework-olama" +description = "Azure AI Olama integration for Microsoft Agent Framework." +authors = [{ name = "Microsoft", email = "SK-Support@microsoft.com"}] +readme = "README.md" +requires-python = ">=3.10" +version = "0.1.0b1" +license-files = ["LICENSE"] +urls.homepage = "https://learn.microsoft.com/en-us/semantic-kernel/overview/" +urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" +urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true" +urls.issues = "https://github.com/microsoft/agent-framework/issues" +classifiers = [ + "License :: OSI Approved :: MIT License", + "Development Status :: 5 - Production/Stable", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Framework :: Pydantic :: 2", + "Typing :: Typed", +] +dependencies = [ + "agent-framework", + "ollama >= 0.5.3", +] + +[tool.uv] +prerelease = "if-necessary-or-explicit" +environments = [ + "sys_platform == 'darwin'", + "sys_platform == 'linux'", + "sys_platform == 'win32'" +] + +[tool.uv-dynamic-versioning] +fallback-version = "0.0.0" +[tool.pytest.ini_options] +testpaths = 'tests' +addopts = "-ra -q -r fEX" +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" +filterwarnings = [] +timeout = 120 + +[tool.ruff] +extend = "../../pyproject.toml" + +[tool.coverage.run] +omit = [ + "**/__init__.py" +] + +[tool.pyright] +extend = "../../pyproject.toml" +exclude = ['tests'] + +[tool.mypy] +plugins = ['pydantic.mypy'] +strict = true +python_version = "3.10" +ignore_missing_imports = true +disallow_untyped_defs = true +no_implicit_optional = true +check_untyped_defs = true +warn_return_any = true +show_error_codes = true +warn_unused_ignores = false +disallow_incomplete_defs = true +disallow_untyped_decorators = true +disallow_any_unimported = true + +[tool.bandit] +targets = ["agent_framework_olama"] +exclude_dirs = ["tests"] + +[tool.poe] +executor.type = "uv" +include = "../../shared_tasks.toml" +[tool.poe.tasks] +mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_olama" +test = "pytest --cov=agent_framework_olama --cov-report=term-missing:skip-covered tests" + +[tool.uv.build-backend] +module-name = "agent_framework_olama" +module-root = "" + +[build-system] +requires = ["uv_build>=0.8.2,<0.9.0"] +build-backend = "uv_build" diff --git a/python/pyproject.toml b/python/pyproject.toml index 503de388d4..cadd8beca6 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -8,6 +8,7 @@ dependencies = [ "agent-framework-azure", "agent-framework-foundry", "agent-framework-workflow", + "agent-framework-olama", ] [dependency-groups] @@ -65,6 +66,7 @@ agent-framework-azure = { workspace = true } agent-framework-foundry = { workspace = true } agent-framework-workflow = { workspace = true } agent-framework-runtime = { workspace = true } +agent-framework-olama = { workspace = true } [tool.ruff] line-length = 120 diff --git a/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py b/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py new file mode 100644 index 0000000000..e9e0c83272 --- /dev/null +++ b/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py @@ -0,0 +1,61 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +from random import randint +from typing import Annotated + +from agent_framework. + + +def get_weather( + location: Annotated[str, "The location to get the weather for."], +) -> str: + """Get the weather for a given location.""" + conditions = ["sunny", "cloudy", "rainy", "stormy"] + return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C." + + +async def non_streaming_example() -> None: + """Example of non-streaming response (get the complete result at once).""" + print("=== Non-streaming Response Example ===") + + agent = OpenAIChatClient().create_agent( + name="WeatherAgent", + instructions="You are a helpful weather agent.", + tools=get_weather, + ) + + query = "What's the weather like in Seattle?" + print(f"User: {query}") + result = await agent.run(query) + print(f"Result: {result}\n") + + +async def streaming_example() -> None: + """Example of streaming response (get results as they are generated).""" + print("=== Streaming Response Example ===") + + agent = OpenAIChatClient().create_agent( + name="WeatherAgent", + instructions="You are a helpful weather agent.", + tools=get_weather, + ) + + query = "What's the weather like in Portland?" + print(f"User: {query}") + print("Agent: ", end="", flush=True) + async for chunk in agent.run_stream(query): + if chunk.text: + print(chunk.text, end="", flush=True) + print("\n") + + +async def main() -> None: + print("=== Basic OpenAI Chat Client Agent Example ===") + + await non_streaming_example() + await streaming_example() + + +if __name__ == "__main__": + asyncio.run(main()) From beab7d4fd80d3207022c1916f5ec83deb5031e5a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 12 Sep 2025 14:10:10 +0200 Subject: [PATCH 02/37] Added Olama Sample --- .../olama_chat_client_basic.py | 8 +- python/uv.lock | 1917 +---------------- 2 files changed, 98 insertions(+), 1827 deletions(-) diff --git a/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py b/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py index e9e0c83272..e926af2fb7 100644 --- a/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py +++ b/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py @@ -4,7 +4,7 @@ from random import randint from typing import Annotated -from agent_framework. +from agent_framework.olama import OlamaChatClient def get_weather( @@ -19,7 +19,7 @@ async def non_streaming_example() -> None: """Example of non-streaming response (get the complete result at once).""" print("=== Non-streaming Response Example ===") - agent = OpenAIChatClient().create_agent( + agent = OlamaChatClient().create_agent( name="WeatherAgent", instructions="You are a helpful weather agent.", tools=get_weather, @@ -35,7 +35,7 @@ async def streaming_example() -> None: """Example of streaming response (get results as they are generated).""" print("=== Streaming Response Example ===") - agent = OpenAIChatClient().create_agent( + agent = OlamaChatClient().create_agent( name="WeatherAgent", instructions="You are a helpful weather agent.", tools=get_weather, @@ -51,7 +51,7 @@ async def streaming_example() -> None: async def main() -> None: - print("=== Basic OpenAI Chat Client Agent Example ===") + print("=== Basic Olama Chat Client Agent Example ===") await non_streaming_example() await streaming_example() diff --git a/python/uv.lock b/python/uv.lock index 1eddb3c2c7..8b09040d15 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,5 +1,4 @@ version = 1 -revision = 1 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.13' and sys_platform == 'darwin'", @@ -27,23 +26,12 @@ members = [ "agent-framework-azure", "agent-framework-foundry", "agent-framework-mem0", + "agent-framework-olama", "agent-framework-project", "agent-framework-runtime", "agent-framework-workflow", ] -[[package]] -name = "accessible-pygments" -version = "0.0.5" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "pygments", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903 }, -] - [[package]] name = "agent-framework" version = "0.1.0b1" @@ -51,7 +39,7 @@ source = { editable = "packages/main" } dependencies = [ { name = "azure-monitor-opentelemetry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "azure-monitor-opentelemetry-exporter", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "mcp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "mcp", extra = ["ws"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "opentelemetry-exporter-otlp-proto-grpc", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -59,7 +47,6 @@ dependencies = [ { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pydantic-settings", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "websockets", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] [package.optional-dependencies] @@ -69,6 +56,9 @@ azure = [ foundry = [ { name = "agent-framework-foundry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] +olama = [ + { name = "agent-framework-olama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] runtime = [ { name = "agent-framework-runtime", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] @@ -80,11 +70,12 @@ workflow = [ requires-dist = [ { name = "agent-framework-azure", marker = "extra == 'azure'", editable = "packages/azure" }, { name = "agent-framework-foundry", marker = "extra == 'foundry'", editable = "packages/foundry" }, + { name = "agent-framework-olama", marker = "extra == 'olama'", editable = "packages/olama" }, { name = "agent-framework-runtime", marker = "extra == 'runtime'", editable = "packages/runtime" }, { name = "agent-framework-workflow", marker = "extra == 'workflow'", editable = "packages/workflow" }, { name = "azure-monitor-opentelemetry", specifier = ">=1.7.0" }, { name = "azure-monitor-opentelemetry-exporter", specifier = ">=1.0.0b41" }, - { name = "mcp", specifier = ">=1.12" }, + { name = "mcp", extras = ["ws"], specifier = ">=1.13" }, { name = "openai", specifier = ">=1.99.0" }, { name = "opentelemetry-api", specifier = "~=1.24" }, { name = "opentelemetry-exporter-otlp-proto-grpc", specifier = ">=1.36.0" }, @@ -92,9 +83,7 @@ requires-dist = [ { name = "pydantic", specifier = ">=2.11.7" }, { name = "pydantic-settings", specifier = ">=2.10.1" }, { name = "typing-extensions", specifier = ">=4.14.0" }, - { name = "websockets", specifier = ">=15.0.1" }, ] -provides-extras = ["azure", "foundry", "workflow", "runtime"] [[package]] name = "agent-framework-azure" @@ -145,6 +134,21 @@ requires-dist = [ { name = "mem0ai", specifier = ">=0.1.117" }, ] +[[package]] +name = "agent-framework-olama" +version = "0.1.0b1" +source = { editable = "packages/olama" } +dependencies = [ + { name = "agent-framework", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] + +[package.metadata] +requires-dist = [ + { name = "agent-framework", editable = "packages/main" }, + { name = "ollama", specifier = ">=0.5.3" }, +] + [[package]] name = "agent-framework-project" version = "0.0.0" @@ -154,86 +158,20 @@ dependencies = [ { name = "agent-framework-azure", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-foundry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-mem0", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "agent-framework-olama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-workflow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] -[package.dev-dependencies] -dev = [ - 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tools=get_weather, + # tools=get_weather, ) query = "What's the weather like in Seattle?" @@ -38,7 +38,7 @@ async def streaming_example() -> None: agent = OlamaChatClient().create_agent( name="WeatherAgent", instructions="You are a helpful weather agent.", - tools=get_weather, + # tools=get_weather, ) query = "What's the weather like in Portland?" diff --git a/python/uv.lock b/python/uv.lock index 8b09040d15..c5c000aded 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -44,6 +44,7 @@ dependencies = [ { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "opentelemetry-exporter-otlp-proto-grpc", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-semantic-conventions-ai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pydantic-settings", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -80,6 +81,7 @@ requires-dist = [ { name = "opentelemetry-api", specifier = "~=1.24" }, { name = "opentelemetry-exporter-otlp-proto-grpc", specifier = ">=1.36.0" }, { name = "opentelemetry-sdk", specifier = "~=1.24" }, + { name = "opentelemetry-semantic-conventions-ai", specifier = "~=0.4.13" }, { name = "pydantic", specifier = ">=2.11.7" }, { name = "pydantic-settings", specifier = ">=2.10.1" }, { name = "typing-extensions", specifier = ">=4.14.0" }, @@ -1833,6 +1835,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/05/75/7d591371c6c39c73de5ce5da5a2cc7b72d1d1cd3f8f4638f553c01c37b11/opentelemetry_semantic_conventions-0.57b0-py3-none-any.whl", hash = "sha256:757f7e76293294f124c827e514c2a3144f191ef175b069ce8d1211e1e38e9e78", size = 201627 }, ] +[[package]] +name = "opentelemetry-semantic-conventions-ai" +version = "0.4.13" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ba/e6/40b59eda51ac47009fb47afcdf37c6938594a0bd7f3b9fadcbc6058248e3/opentelemetry_semantic_conventions_ai-0.4.13.tar.gz", hash = "sha256:94efa9fb4ffac18c45f54a3a338ffeb7eedb7e1bb4d147786e77202e159f0036", size = 5368 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/35/b5/cf25da2218910f0d6cdf7f876a06bed118c4969eacaf60a887cbaef44f44/opentelemetry_semantic_conventions_ai-0.4.13-py3-none-any.whl", hash = "sha256:883a30a6bb5deaec0d646912b5f9f6dcbb9f6f72557b73d0f2560bf25d13e2d5", size = 6080 }, +] + [[package]] name = "opentelemetry-util-http" version = "0.57b0" From afc7190b7c653b2a9806c5e1ba03f6b64019c8b9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 12 Sep 2025 16:30:32 +0200 Subject: [PATCH 04/37] Fixed Spelling from Olama to Ollama --- .../main/agent_framework/olama/__init__.pyi | 13 - .../{olama => ollama}/__init__.py | 8 +- .../main/agent_framework/ollama/__init__.pyi | 13 + python/packages/main/pyproject.toml | 4 +- python/packages/{olama => ollama}/LICENSE | 0 python/packages/{olama => ollama}/README.md | 4 +- .../agent_framework_ollama}/__init__.py | 7 +- .../agent_framework_ollama}/_chat_client.py | 30 +- .../agent_framework_ollama}/py.typed | 0 .../packages/{olama => ollama}/pyproject.toml | 12 +- python/pyproject.toml | 4 +- .../ollama_chat_client_basic.py} | 8 +- python/uv.lock | 4767 +++++++++++------ 13 files changed, 3315 insertions(+), 1555 deletions(-) delete mode 100644 python/packages/main/agent_framework/olama/__init__.pyi rename python/packages/main/agent_framework/{olama => ollama}/__init__.py (85%) create mode 100644 python/packages/main/agent_framework/ollama/__init__.pyi rename python/packages/{olama => ollama}/LICENSE (100%) rename python/packages/{olama => ollama}/README.md (68%) rename python/packages/{olama/agent_framework_olama => ollama/agent_framework_ollama}/__init__.py (68%) rename python/packages/{olama/agent_framework_olama => ollama/agent_framework_ollama}/_chat_client.py (79%) rename python/packages/{olama/agent_framework_olama => ollama/agent_framework_ollama}/py.typed (100%) rename python/packages/{olama => ollama}/pyproject.toml (88%) rename python/samples/getting_started/agents/{olama_chat_client/olama_chat_client_basic.py => ollama_chat_client/ollama_chat_client_basic.py} (88%) diff --git a/python/packages/main/agent_framework/olama/__init__.pyi b/python/packages/main/agent_framework/olama/__init__.pyi deleted file mode 100644 index 668a0da459..0000000000 --- a/python/packages/main/agent_framework/olama/__init__.pyi +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -from agent_framework_olama import ( - OlamaChatClient, - OlamaSettings, - __version__, -) - -__all__ = [ - "OlamaChatClient", - "OlamaSettings", - "__version__", -] diff --git a/python/packages/main/agent_framework/olama/__init__.py b/python/packages/main/agent_framework/ollama/__init__.py similarity index 85% rename from python/packages/main/agent_framework/olama/__init__.py rename to python/packages/main/agent_framework/ollama/__init__.py index 392fc86d87..30c983bc46 100644 --- a/python/packages/main/agent_framework/olama/__init__.py +++ b/python/packages/main/agent_framework/ollama/__init__.py @@ -3,11 +3,11 @@ import importlib from typing import Any -PACKAGE_NAME = "agent_framework_olama" -PACKAGE_EXTRA = "olama" +PACKAGE_NAME = "agent_framework_ollama" +PACKAGE_EXTRA = "ollama" _IMPORTS = [ - "OlamaChatClient", - "OlamaSettings", + "OllamaChatClient", + "OllamaSettings", "__version__", ] diff --git a/python/packages/main/agent_framework/ollama/__init__.pyi b/python/packages/main/agent_framework/ollama/__init__.pyi new file mode 100644 index 0000000000..3a1e7824d6 --- /dev/null +++ b/python/packages/main/agent_framework/ollama/__init__.pyi @@ -0,0 +1,13 @@ +# Copyright (c) Microsoft. All rights reserved. + +from agent_framework_ollama import ( + OllamaChatClient, + OllamaSettings, + __version__, +) + +__all__ = [ + "OllamaChatClient", + "OllamaSettings", + "__version__", +] diff --git a/python/packages/main/pyproject.toml b/python/packages/main/pyproject.toml index 500bc6fca3..de4d27a9e0 100644 --- a/python/packages/main/pyproject.toml +++ b/python/packages/main/pyproject.toml @@ -43,8 +43,8 @@ azure = [ foundry = [ "agent-framework-foundry" ] -olama = [ - "agent-framework-olama" +ollama = [ + "agent-framework-ollama" ] workflow = [ "agent-framework-workflow" diff --git a/python/packages/olama/LICENSE b/python/packages/ollama/LICENSE similarity index 100% rename from python/packages/olama/LICENSE rename to python/packages/ollama/LICENSE diff --git a/python/packages/olama/README.md b/python/packages/ollama/README.md similarity index 68% rename from python/packages/olama/README.md rename to python/packages/ollama/README.md index f27a5e015d..69f5eea4cd 100644 --- a/python/packages/olama/README.md +++ b/python/packages/ollama/README.md @@ -1,9 +1,9 @@ -# Get Started with Microsoft Agent Framework Olama +# Get Started with Microsoft Agent Framework Ollama Please install this package as the extra for `agent-framework`: ```bash -pip install agent-framework[olama] +pip install agent-framework[ollama] ``` and see the [README](https://github.com/microsoft/agent-framework/tree/main/python/README.md) for more information. diff --git a/python/packages/olama/agent_framework_olama/__init__.py b/python/packages/ollama/agent_framework_ollama/__init__.py similarity index 68% rename from python/packages/olama/agent_framework_olama/__init__.py rename to python/packages/ollama/agent_framework_ollama/__init__.py index 57ad98c82d..cebb06f942 100644 --- a/python/packages/olama/agent_framework_olama/__init__.py +++ b/python/packages/ollama/agent_framework_ollama/__init__.py @@ -2,7 +2,7 @@ import importlib.metadata -from ._chat_client import OlamaChatClient, OlamaSettings +from ._chat_client import OllamaChatClient, OllamaSettings try: __version__ = importlib.metadata.version(__name__) @@ -10,7 +10,8 @@ __version__ = "0.0.0" # Fallback for development mode __all__ = [ - "OlamaChatClient", - "OlamaSettings", + "OllamaChatClient", + "OllamaSettings", + "OllamaSettings", "__version__", ] diff --git a/python/packages/olama/agent_framework_olama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py similarity index 79% rename from python/packages/olama/agent_framework_olama/_chat_client.py rename to python/packages/ollama/agent_framework_ollama/_chat_client.py index 6c9b58b4ce..ce96993e2c 100644 --- a/python/packages/olama/agent_framework_olama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -16,13 +16,15 @@ from agent_framework._pydantic import AFBaseSettings from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError from ollama import AsyncClient + +# Rename imported types to avoid naming conflicts with Agent Framework types from ollama._types import ChatResponse as OllamaChatResponse -from ollama._types import Message +from ollama._types import Message as OllamaMessage from pydantic import ValidationError -class OlamaSettings(AFBaseSettings): - """Olama settings.""" +class OllamaSettings(AFBaseSettings): + """Ollama settings.""" env_prefix: ClassVar[str] = "OLLAMA_" @@ -30,7 +32,7 @@ class OlamaSettings(AFBaseSettings): chat_model_id: str | None = None -class OlamaChatClient(BaseChatClient): +class OllamaChatClient(BaseChatClient): client: AsyncClient chat_model_id: str @@ -40,7 +42,7 @@ def __init__( client: AsyncClient | None = None, chat_model_id: str | None = None, ) -> None: - """Initialize an Olama Chat client. + """Initialize an Ollama Chat client. Args: host: The Ollama server host URL. If not provided, the default host will be used. @@ -48,15 +50,15 @@ def __init__( chat_model_id: The Ollama chat model ID to use.If not provided, the default model will be used. """ try: - olama_settings = OlamaSettings(host=host, chat_model_id=chat_model_id) + ollama_settings = OllamaSettings(host=host, chat_model_id=chat_model_id) except ValidationError as ex: - raise ServiceInitializationError("Failed to create Olama settings.", ex) from ex + raise ServiceInitializationError("Failed to create Ollama settings.", ex) from ex - client = client or AsyncClient(host=olama_settings.host) + client = client or AsyncClient(host=ollama_settings.host) super().__init__( client=client, # type: ignore[reportCallIssue] - chat_model_id=olama_settings.chat_model_id, # type: ignore[reportCallIssue] + chat_model_id=ollama_settings.chat_model_id, # type: ignore[reportCallIssue] ) async def _inner_get_response( @@ -96,16 +98,16 @@ def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: raise ServiceInvalidRequestError("Messages are required for chat completions") return options_dict - def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[Message]: - list_of_list = [self._olama_chat_message_parser(msg) for msg in messages] + def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: + list_of_list = [self._ollama_chat_message_parser(msg) for msg in messages] # Flatten the list of lists into a single list return list(chain.from_iterable(list_of_list)) - def _olama_chat_message_parser(self, message: ChatMessage) -> list[Message]: - messages: list[Message] = [] + def _ollama_chat_message_parser(self, message: ChatMessage) -> list[OllamaMessage]: + messages: list[OllamaMessage] = [] for content in message.contents: if isinstance(content, TextContent): - messages.append(Message(role=message.role.value, content=content.text)) + messages.append(OllamaMessage(role=message.role.value, content=content.text)) return messages def _create_chat_response_update(self, response: OllamaChatResponse) -> ChatResponseUpdate: diff --git a/python/packages/olama/agent_framework_olama/py.typed b/python/packages/ollama/agent_framework_ollama/py.typed similarity index 100% rename from python/packages/olama/agent_framework_olama/py.typed rename to python/packages/ollama/agent_framework_ollama/py.typed diff --git a/python/packages/olama/pyproject.toml b/python/packages/ollama/pyproject.toml similarity index 88% rename from python/packages/olama/pyproject.toml rename to python/packages/ollama/pyproject.toml index 1d3c8b7a5a..f7650bbf32 100644 --- a/python/packages/olama/pyproject.toml +++ b/python/packages/ollama/pyproject.toml @@ -1,6 +1,6 @@ [project] -name = "agent-framework-olama" -description = "Azure AI Olama integration for Microsoft Agent Framework." +name = "agent-framework-ollama" +description = "Azure AI Ollama integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "SK-Support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" @@ -73,18 +73,18 @@ disallow_untyped_decorators = true disallow_any_unimported = true [tool.bandit] -targets = ["agent_framework_olama"] +targets = ["agent_framework_ollama"] exclude_dirs = ["tests"] [tool.poe] executor.type = "uv" include = "../../shared_tasks.toml" [tool.poe.tasks] -mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_olama" -test = "pytest --cov=agent_framework_olama --cov-report=term-missing:skip-covered tests" +mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_ollama" +test = "pytest --cov=agent_framework_ollama --cov-report=term-missing:skip-covered tests" [tool.uv.build-backend] -module-name = "agent_framework_olama" +module-name = "agent_framework_ollama" module-root = "" [build-system] diff --git a/python/pyproject.toml b/python/pyproject.toml index a8d4676c27..1d85666137 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -9,7 +9,7 @@ dependencies = [ "agent-framework-foundry", "agent-framework-mem0", "agent-framework-workflow", - "agent-framework-olama", + "agent-framework-ollama", ] [dependency-groups] @@ -67,7 +67,7 @@ agent-framework-azure = { workspace = true } agent-framework-foundry = { workspace = true } agent-framework-mem0 = { workspace = true } agent-framework-runtime = { workspace = true } -agent-framework-olama = { workspace = true } +agent-framework-ollama = { workspace = true } agent-framework-workflow = { workspace = true } [tool.ruff] diff --git a/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py similarity index 88% rename from python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py rename to python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py index 94daaee62b..cb8e541d35 100644 --- a/python/samples/getting_started/agents/olama_chat_client/olama_chat_client_basic.py +++ b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py @@ -4,7 +4,7 @@ from random import randint from typing import Annotated -from agent_framework.olama import OlamaChatClient +from agent_framework.ollama import OllamaChatClient def get_weather( @@ -19,7 +19,7 @@ async def non_streaming_example() -> None: """Example of non-streaming response (get the complete result at once).""" print("=== Non-streaming Response Example ===") - agent = OlamaChatClient().create_agent( + agent = OllamaChatClient().create_agent( name="WeatherAgent", instructions="You are a helpful weather agent.", # tools=get_weather, @@ -35,7 +35,7 @@ async def streaming_example() -> None: """Example of streaming response (get results as they are generated).""" print("=== Streaming Response Example ===") - agent = OlamaChatClient().create_agent( + agent = OllamaChatClient().create_agent( name="WeatherAgent", instructions="You are a helpful weather agent.", # tools=get_weather, @@ -51,7 +51,7 @@ async def streaming_example() -> None: async def main() -> None: - print("=== Basic Olama Chat Client Agent Example ===") + print("=== Basic Ollama Chat Client Agent Example ===") await non_streaming_example() await streaming_example() diff --git a/python/uv.lock b/python/uv.lock index c5c000aded..55c79af91c 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,4 +1,5 @@ version = 1 +revision = 3 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.13' and sys_platform == 'darwin'", @@ -26,12 +27,24 @@ members = [ "agent-framework-azure", "agent-framework-foundry", "agent-framework-mem0", - "agent-framework-olama", + "agent-framework-ollama", "agent-framework-project", "agent-framework-runtime", "agent-framework-workflow", ] +[[package]] +name = "accessible-pygments" +version = "0.0.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pygments", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899, upload-time = "2024-05-10T11:23:10.216Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903, upload-time = "2024-05-10T11:23:08.421Z" }, +] + [[package]] name = "agent-framework" version = "0.1.0b1" @@ -57,8 +70,8 @@ azure = [ foundry = [ { name = "agent-framework-foundry", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] -olama = [ - { name = "agent-framework-olama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +ollama = [ + { name = "agent-framework-ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] runtime = [ { name = "agent-framework-runtime", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -71,7 +84,7 @@ workflow = [ requires-dist = [ { name = "agent-framework-azure", marker = "extra == 'azure'", editable = "packages/azure" }, { name = "agent-framework-foundry", marker = "extra == 'foundry'", editable = "packages/foundry" }, - { name = "agent-framework-olama", marker = "extra == 'olama'", editable = "packages/olama" }, + { name = "agent-framework-ollama", marker = "extra == 'ollama'", editable = "packages/ollama" }, { name = "agent-framework-runtime", marker = "extra == 'runtime'", editable = "packages/runtime" }, { name = "agent-framework-workflow", marker = "extra == 'workflow'", editable = "packages/workflow" }, { name = "azure-monitor-opentelemetry", specifier = ">=1.7.0" }, @@ -86,6 +99,7 @@ requires-dist = [ { name = "pydantic-settings", specifier = ">=2.10.1" }, { name = "typing-extensions", specifier = ">=4.14.0" }, ] +provides-extras = ["azure", "foundry", "ollama", "workflow", "runtime"] [[package]] name = "agent-framework-azure" @@ -137,9 +151,9 @@ requires-dist = [ ] [[package]] -name = "agent-framework-olama" +name = "agent-framework-ollama" version = "0.1.0b1" -source = { editable = "packages/olama" } +source = { editable = "packages/ollama" } dependencies = [ { name = "agent-framework", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -160,20 +174,88 @@ dependencies = [ { name = "agent-framework-azure", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-foundry", marker = "sys_platform == 'darwin' or sys_platform == 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marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "markdownify", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "mypy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "myst-nb", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-instrumentation-openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "poethepoet", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pre-commit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pydata-sphinx-theme", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pygments", marker = "sys_platform == 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remove"opentelemetry-semantic-conventions-ai ~=0.4.13" since its handled in a different pr --- python/packages/main/pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/python/packages/main/pyproject.toml b/python/packages/main/pyproject.toml index de4d27a9e0..e61b0ec175 100644 --- a/python/packages/main/pyproject.toml +++ b/python/packages/main/pyproject.toml @@ -29,7 +29,6 @@ dependencies = [ "typing-extensions>=4.14.0", "opentelemetry-api ~= 1.24", "opentelemetry-sdk ~= 1.24", - "opentelemetry-semantic-conventions-ai ~=0.4.13", "mcp[ws]>=1.13", "azure-monitor-opentelemetry>=1.7.0", "azure-monitor-opentelemetry-exporter>=1.0.0b41", From 3518527a11311bdd779df55d852be395b4b000c8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Mon, 15 Sep 2025 18:12:18 +0200 Subject: [PATCH 06/37] Added Tool Calling --- python/.vscode/settings.json | 7 +- .../agent_framework_ollama/_chat_client.py | 113 ++++++++++++++++-- .../ollama_chat_client_basic.py | 4 +- python/uv.lock | 10 +- 4 files changed, 116 insertions(+), 18 deletions(-) diff --git a/python/.vscode/settings.json b/python/.vscode/settings.json index 181b926ac0..61da15d9b9 100644 --- a/python/.vscode/settings.json +++ b/python/.vscode/settings.json @@ -35,5 +35,10 @@ "name": "azure", "depth": 2 } - ] + ], + "python.testing.pytestArgs": [ + "." + ], + "python.testing.unittestEnabled": false, + "python.testing.pytestEnabled": true } diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index ce96993e2c..61f6b58781 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -1,24 +1,35 @@ # Copyright (c) Microsoft. All rights reserved. -from collections.abc import MutableSequence +import json +from collections.abc import AsyncIterable, Mapping, MutableMapping, MutableSequence, Sequence from itertools import chain -from typing import Any, AsyncIterable, ClassVar +from typing import Any, ClassVar from agent_framework import ( + AIFunction, BaseChatClient, ChatMessage, ChatOptions, ChatResponse, ChatResponseUpdate, + Contents, + DataContent, + FunctionCallContent, + FunctionResultContent, Role, TextContent, + ToolProtocol, + get_logger, + use_function_invocation, ) from agent_framework._pydantic import AFBaseSettings from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError +from agent_framework.telemetry import use_telemetry from ollama import AsyncClient # Rename imported types to avoid naming conflicts with Agent Framework types from ollama._types import ChatResponse as OllamaChatResponse +from ollama._types import Image as OllamaImage from ollama._types import Message as OllamaMessage from pydantic import ValidationError @@ -32,6 +43,11 @@ class OllamaSettings(AFBaseSettings): chat_model_id: str | None = None +logger = get_logger("agent_framework.ollama") + + +@use_function_invocation +@use_telemetry class OllamaChatClient(BaseChatClient): client: AsyncClient chat_model_id: str @@ -80,6 +96,7 @@ async def _inner_get_streaming_response( **kwargs: Any, ) -> AsyncIterable[ChatResponseUpdate]: options_dict = self._prepare_options(messages, chat_options) + response_object: AsyncIterable[OllamaChatResponse] = await self.client.chat( # type: ignore[misc] model=self.chat_model_id, stream=True, @@ -87,30 +104,106 @@ async def _inner_get_streaming_response( ) async for part in response_object: - yield self._create_chat_response_update(part) + yield self._ollama_to_agent_framework_message_parser(part) def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions) -> dict[str, Any]: # Preprocess web search tool if it exists options_dict = chat_options.to_provider_settings() + # Prepare Messages from Agent Framework format to Ollama format if messages and "messages" not in options_dict: options_dict["messages"] = self._prepare_chat_history_for_request(messages) if "messages" not in options_dict: raise ServiceInvalidRequestError("Messages are required for chat completions") + + # Prepare Tools from Agent Framework format to Json Schema format + if chat_options.tools: + options_dict["tools"] = self._chat_to_tool_spec(chat_options.tools) + + # Currently Ollama only supports auto tool choice + if chat_options.tool_choice == "required": + raise ServiceInvalidRequestError("Ollama does not support required tool choice.") + # Remove Tool Choice since it's not available by Ollama + if "tool_choice" in options_dict: + del options_dict["tool_choice"] + return options_dict def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: - list_of_list = [self._ollama_chat_message_parser(msg) for msg in messages] + list_of_list = [self._agent_framework_to_ollama_message_parser(msg) for msg in messages] # Flatten the list of lists into a single list return list(chain.from_iterable(list_of_list)) - def _ollama_chat_message_parser(self, message: ChatMessage) -> list[OllamaMessage]: + def _agent_framework_to_ollama_message_parser(self, message: ChatMessage) -> list[OllamaMessage]: messages: list[OllamaMessage] = [] for content in message.contents: - if isinstance(content, TextContent): - messages.append(OllamaMessage(role=message.role.value, content=content.text)) + match content: + case TextContent(): + ollama_message = OllamaMessage(role=str(message.role), content=content.text) + case FunctionCallContent(): + ollama_message = OllamaMessage( + role=str(message.role), + tool_calls=[ + OllamaMessage.ToolCall( + function=OllamaMessage.ToolCall.Function( + name=content.name, + arguments=content.arguments + if isinstance(content.arguments, Mapping) + else json.loads(content.arguments or "{}"), + ) + ) + ], + ) + case FunctionResultContent(): + ollama_message = OllamaMessage( + role=str(Role.TOOL), + content=content.result, + ) + case DataContent(): + if not content.has_top_level_media_type("image"): + raise ServiceInvalidRequestError("Only URIContent with image media type is supported.") + ollama_message = OllamaMessage( + role=message.role.value, + images=[OllamaImage(value=content.uri)], + ) + case _: + raise ServiceInvalidRequestError(f"Unsupported content type: {type(content)}") + messages.append(ollama_message) return messages - def _create_chat_response_update(self, response: OllamaChatResponse) -> ChatResponseUpdate: + def _ollama_to_agent_framework_message_parser(self, response: OllamaChatResponse) -> ChatResponseUpdate: + contents: list[Contents] = [] if response.message.content: - return ChatResponseUpdate(text=response.message.content, role=Role.ASSISTANT) - return ChatResponseUpdate(text="", role=Role.ASSISTANT) + contents.append(TextContent(text=response.message.content)) + if response.message.tool_calls: + tool_calls = self._parse_ollama_tool_calls(response.message.tool_calls) + contents.extend(tool_calls) + return ChatResponseUpdate( + contents=contents, + role=Role.ASSISTANT, + ai_model_id=self.chat_model_id, + ) + + def _parse_ollama_tool_calls(self, tool_calls: Sequence[OllamaMessage.ToolCall]) -> list[Contents]: + resp: list[Contents] = [] + for tool in tool_calls: + fcc = FunctionCallContent( + call_id="", # Ollama does not provide a call ID + name=tool.function.name, + arguments=tool.function.arguments if isinstance(tool.function.arguments, dict) else "", + raw_representation=tool.function, + ) + resp.append(fcc) + return resp + + def _chat_to_tool_spec(self, tools: list[ToolProtocol | MutableMapping[str, Any]]) -> list[dict[str, Any]]: + chat_tools: list[dict[str, Any]] = [] + for tool in tools: + if isinstance(tool, ToolProtocol): + match tool: + case AIFunction(): + chat_tools.append(tool.to_json_schema_spec()) + case _: + logger.debug("Unsupported tool passed (type: %s), ignoring", type(tool)) + else: + chat_tools.append(tool if isinstance(tool, dict) else dict(tool)) + return chat_tools diff --git a/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py index cb8e541d35..4a76e4d71f 100644 --- a/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py +++ b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py @@ -22,7 +22,7 @@ async def non_streaming_example() -> None: agent = OllamaChatClient().create_agent( name="WeatherAgent", instructions="You are a helpful weather agent.", - # tools=get_weather, + tools=get_weather, ) query = "What's the weather like in Seattle?" @@ -38,7 +38,7 @@ async def streaming_example() -> None: agent = OllamaChatClient().create_agent( name="WeatherAgent", instructions="You are a helpful weather agent.", - # tools=get_weather, + tools=get_weather, ) query = "What's the weather like in Portland?" diff --git a/python/uv.lock b/python/uv.lock index 55c79af91c..6e847a0b28 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -94,7 +94,7 @@ requires-dist = [ { name = "opentelemetry-api", specifier = "~=1.24" }, { name = "opentelemetry-exporter-otlp-proto-grpc", specifier = ">=1.36.0" }, { name = "opentelemetry-sdk", specifier = "~=1.24" }, - { name = "opentelemetry-semantic-conventions-ai", specifier = "~=0.4.13" }, + { name = "opentelemetry-semantic-conventions-ai", specifier = ">=0.4.13" }, { name = "pydantic", specifier = ">=2.11.7" }, { name = "pydantic-settings", specifier = ">=2.10.1" }, { name = "typing-extensions", specifier = ">=4.14.0" }, @@ -235,7 +235,7 @@ dev = [ { name = "opentelemetry-instrumentation-openai" }, { name = "poethepoet", specifier = ">=0.36.0" }, { name = "pre-commit", specifier = ">=3.7" }, - 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If not provided, the default host will be used. client: An optional Ollama Client instance. If not provided, a new instance will be created. chat_model_id: The Ollama chat model ID to use.If not provided, the default model will be used. + env_file_path: An optional path to a dotenv (.env) file to load environment variables from. + env_file_encoding: The encoding to use when reading the dotenv (.env) file. Defaults to 'utf-8'. """ - try: - ollama_settings = OllamaSettings(host=host, chat_model_id=chat_model_id) - except ValidationError as ex: - raise ServiceInitializationError("Failed to create Ollama settings.", ex) from ex + ollama_settings = OllamaSettings( + host=host, chat_model_id=chat_model_id, env_file_encoding=env_file_encoding, env_file_path=env_file_path + ) + + if ollama_settings.chat_model_id is None: + raise ServiceInitializationError( + "Ollama chat model ID must be provided via chat_model_id or OLLAMA_CHAT_MODEL_ID environment variable." + ) client = client or AsyncClient(host=ollama_settings.host) @@ -104,7 +112,7 @@ async def _inner_get_streaming_response( ) async for part in response_object: - yield self._ollama_to_agent_framework_message_parser(part) + yield self._ollama_to_agent_framework_message(part) def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions) -> dict[str, Any]: # Preprocess web search tool if it exists @@ -129,11 +137,11 @@ def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: return options_dict def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: - list_of_list = [self._agent_framework_to_ollama_message_parser(msg) for msg in messages] + list_of_list = [self._agent_framework_to_ollama_message(msg) for msg in messages] # Flatten the list of lists into a single list return list(chain.from_iterable(list_of_list)) - def _agent_framework_to_ollama_message_parser(self, message: ChatMessage) -> list[OllamaMessage]: + def _agent_framework_to_ollama_message(self, message: ChatMessage) -> list[OllamaMessage]: messages: list[OllamaMessage] = [] for content in message.contents: match content: @@ -166,11 +174,11 @@ def _agent_framework_to_ollama_message_parser(self, message: ChatMessage) -> lis images=[OllamaImage(value=content.uri)], ) case _: - raise ServiceInvalidRequestError(f"Unsupported content type: {type(content)}") + raise ServiceInvalidRequestError(f"Unsupported content type: {type(content)} for Ollama client.") messages.append(ollama_message) return messages - def _ollama_to_agent_framework_message_parser(self, response: OllamaChatResponse) -> ChatResponseUpdate: + def _ollama_to_agent_framework_message(self, response: OllamaChatResponse) -> ChatResponseUpdate: contents: list[Contents] = [] if response.message.content: contents.append(TextContent(text=response.message.content)) @@ -203,7 +211,28 @@ def _chat_to_tool_spec(self, tools: list[ToolProtocol | MutableMapping[str, Any] case AIFunction(): chat_tools.append(tool.to_json_schema_spec()) case _: - logger.debug("Unsupported tool passed (type: %s), ignoring", type(tool)) + raise ServiceInvalidRequestError(f"Unsupported tool type: {type(tool)} for Ollama client.") else: chat_tools.append(tool if isinstance(tool, dict) else dict(tool)) return chat_tools + + @classmethod + def from_dict(cls: type[TOllamaChatClient], settings: dict[str, Any]) -> TOllamaChatClient: + """Initialize an Ollama service from a dictionary of settings. + + Args: + settings: A dictionary of settings for the service. + should contain keys: service_id, and optionally: + ad_auth, ad_token_provider, default_headers + """ + return cls( + chat_model_id=settings.get("chat_model_id"), + host=settings.get("host"), + ) + + def to_dict(self) -> dict[str, Any]: + """Convert the configuration to a dictionary.""" + return { + "host": str(self.client._client.base_url), + "chat_model_id": self.chat_model_id, + } diff --git a/python/packages/ollama/tests/conftest.py b/python/packages/ollama/tests/conftest.py new file mode 100644 index 0000000000..ba1ab50203 --- /dev/null +++ b/python/packages/ollama/tests/conftest.py @@ -0,0 +1,47 @@ +# Copyright (c) Microsoft. All rights reserved. +from typing import Any + +from agent_framework import ChatMessage +from pytest import fixture + + +# region: Connector Settings fixtures +@fixture +def exclude_list(request: Any) -> list[str]: + """Fixture that returns a list of environment variables to exclude.""" + return request.param if hasattr(request, "param") else [] + + +@fixture +def override_env_param_dict(request: Any) -> dict[str, str]: + """Fixture that returns a dict of environment variables to override.""" + return request.param if hasattr(request, "param") else {} + + +# These two fixtures are used for multiple things, also non-connector tests +@fixture() +def ollama_unit_test_env(monkeypatch, exclude_list, override_env_param_dict): # type: ignore + """Fixture to set environment variables for OllamaSettings.""" + + if exclude_list is None: + exclude_list = [] + + if override_env_param_dict is None: + override_env_param_dict = {} + + env_vars = {"OLLAMA_HOST": "http://localhost:12345", "OLLAMA_CHAT_MODEL_ID": "test"} + + env_vars.update(override_env_param_dict) # type: ignore + + for key, value in env_vars.items(): + if key in exclude_list: + monkeypatch.delenv(key, raising=False) # type: ignore + continue + monkeypatch.setenv(key, value) # type: ignore + + return env_vars + + +@fixture +def chat_history() -> list[ChatMessage]: + return [] diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py new file mode 100644 index 0000000000..9025587bc4 --- /dev/null +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -0,0 +1,275 @@ +# Copyright (c) Microsoft. All rights reserved. + +import os +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest +from agent_framework import ( + BaseChatClient, + ChatMessage, + DataContent, + FunctionResultContent, + HostedWebSearchTool, + UriContent, +) +from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError +from ollama import AsyncClient +from ollama._types import ChatResponse as OllamaChatResponse +from ollama._types import Message as OllamaMessage +from openai import AsyncStream + +from agent_framework_ollama import OllamaChatClient + +# region Service Setup + +# region Service Setup + +skip_if_azure_integration_tests_disabled = pytest.mark.skipif( + os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true" + or os.getenv("OLLAMA_CHAT_MODEL_ID", "") in ("", "test-model"), + reason="No real Ollama chat model provided; skipping integration tests." + if os.getenv("RUN_INTEGRATION_TESTS", "false").lower() == "true" + else "Integration tests are disabled.", +) + + +def hello_world(arg1: str) -> str: + return "Hello World" + + +def test_init(ollama_unit_test_env: dict[str, str]) -> None: + # Test successful initialization + ollama_chat_client = OllamaChatClient() + + assert ollama_chat_client.client is not None + assert isinstance(ollama_chat_client.client, AsyncClient) + assert ollama_chat_client.chat_model_id == ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] + assert isinstance(ollama_chat_client, BaseChatClient) + + +def test_init_client(ollama_unit_test_env: dict[str, str]) -> None: + # Test successful initialization with provided client + test_client = MagicMock(spec=AsyncClient) + ollama_chat_client = OllamaChatClient(client=test_client) + + assert ollama_chat_client.client is test_client + assert ollama_chat_client.chat_model_id == ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] + assert isinstance(ollama_chat_client, BaseChatClient) + + +@pytest.mark.parametrize("exclude_list", [["OLLAMA_CHAT_MODEL_ID"]], indirect=True) +def test_with_invalid_settings(ollama_unit_test_env: dict[str, str]) -> None: + with pytest.raises(ServiceInitializationError): + OllamaChatClient( + host="http://localhost:12345", + chat_model_id=None, + env_file_path="test.env", + ) + + +def test_serialize(ollama_unit_test_env: dict[str, str]) -> None: + settings = { + "host": ollama_unit_test_env["OLLAMA_HOST"], + "chat_model_id": ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"], + } + + ollama_chat_client = OllamaChatClient.from_dict(settings) + serialized = ollama_chat_client.to_dict() + + assert isinstance(serialized, dict) + assert serialized["host"] == ollama_unit_test_env["OLLAMA_HOST"] + assert serialized["chat_model_id"] == ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] + + +# region CMC + + +async def test_empty_messages() -> None: + ollama_chat_client = OllamaChatClient( + host="http://localhost:12345", + chat_model_id="test-model", + ) + with pytest.raises(ServiceInvalidRequestError): + await ollama_chat_client.get_response(messages=[]) + + +async def test_function_choice_required_argument() -> None: + ollama_chat_client = OllamaChatClient( + host="http://localhost:12345", + chat_model_id="test-model", + ) + with pytest.raises(ServiceInvalidRequestError): + await ollama_chat_client.get_response( + messages=[ChatMessage(text="hello world", role="user")], + tool_choice="required", + tools=[hello_world], + ) + + +@pytest.fixture +def mock_streaming_chat_completion_response() -> AsyncStream[OllamaChatResponse]: + response = OllamaChatResponse( + message=OllamaMessage(content="test", role="assistant"), + model="test", + ) + stream = MagicMock(spec=AsyncStream) + stream.__aiter__.return_value = [response] + return stream + + +@patch.object(AsyncClient, "chat", new_callable=AsyncMock) +async def test_cmc( + mock_chat: AsyncMock, + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], + mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse], +) -> None: + mock_chat.return_value = mock_streaming_chat_completion_response + chat_history.append(ChatMessage(text="hello world", role="user")) + + ollama_client = OllamaChatClient() + result = await ollama_client.get_response(messages=chat_history) + + assert result.text == "test" + + +@pytest.fixture +def mock_streaming_chat_completion_tool_call() -> AsyncStream[OllamaChatResponse]: + ollama_tool_call = OllamaChatResponse( + message=OllamaMessage( + content="", + role="assistant", + tool_calls=[{"function": {"name": "hello_world", "arguments": {"arg1": "value1"}}}], + ), + model="test", + ) + stream = MagicMock(spec=AsyncStream) + stream.__aiter__.return_value = [ollama_tool_call] + return stream + + +@patch.object(AsyncClient, "chat", new_callable=AsyncMock) +async def test_cmc_with_tool_call( + mock_chat: AsyncMock, + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], + 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(ChatMessage(text="hello world", role="user")) + + ollama_client = OllamaChatClient() + result = await ollama_client.get_response(messages=chat_history, tools=[hello_world]) + + assert result.text == "test" + assert isinstance(result.messages[-2].contents[0], FunctionResultContent) + tool_result = result.messages[-2].contents[0] + assert tool_result.result == "Hello World" + + +async def test_cmc_with_hosted_tool_call( + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], +) -> None: + with pytest.raises(ServiceInvalidRequestError): + additional_properties = { + "user_location": { + "country": "US", + "city": "Seattle", + } + } + + chat_history.append(ChatMessage(text="hello world", role="user")) + + ollama_client = OllamaChatClient() + await ollama_client.get_response( + messages=chat_history, tools=[HostedWebSearchTool(additional_properties=additional_properties)] + ) + + +@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[ChatMessage], + mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse], +) -> None: + mock_chat.return_value = mock_streaming_chat_completion_response + chat_history.append( + ChatMessage(contents=[DataContent(uri="data:image/png;base64,xyz", media_type="image/png")], role="user") + ) + + ollama_client = OllamaChatClient() + ollama_client.client.chat = AsyncMock(return_value=mock_streaming_chat_completion_response) + + 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[ChatMessage], + mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse], +) -> None: + with pytest.raises(ServiceInvalidRequestError): + mock_chat.return_value = mock_streaming_chat_completion_response + # Remote Uris are not supported by Ollama client + chat_history.append( + ChatMessage(contents=[DataContent(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[ChatMessage], + mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse], +) -> None: + with pytest.raises(ServiceInvalidRequestError): + mock_chat.return_value = mock_streaming_chat_completion_response + # Remote Uris are not supported by Ollama client + chat_history.append( + ChatMessage(contents=[UriContent(uri="http://example.com/image.png", media_type="image/png")], 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) + + +@skip_if_azure_integration_tests_disabled +async def test_cmc_integration_with_tool_call( + chat_history: list[ChatMessage], +) -> None: + chat_history.append(ChatMessage(text="Call the hello world function and repeat what it says", role="user")) + + ollama_client = OllamaChatClient() + result = await ollama_client.get_response(messages=chat_history, tools=[hello_world]) + + assert "hello" in result.text.lower() and "world" in result.text.lower() + assert isinstance(result.messages[-2].contents[0], FunctionResultContent) + tool_result = result.messages[-2].contents[0] + assert tool_result.result == "Hello World" + + +@skip_if_azure_integration_tests_disabled +async def test_cmc_integration_with_chat_completion( + chat_history: list[ChatMessage], +) -> None: + chat_history.append(ChatMessage(text="Say Hello World", role="user")) + + ollama_client = OllamaChatClient() + result = await ollama_client.get_response(messages=chat_history) + + assert "hello" in result.text.lower() and "world" in result.text.lower() diff --git a/python/packages/ollama/tests/test_ollama_cross_package.py b/python/packages/ollama/tests/test_ollama_cross_package.py new file mode 100644 index 0000000000..ef541ce1da --- /dev/null +++ b/python/packages/ollama/tests/test_ollama_cross_package.py @@ -0,0 +1,28 @@ +# Copyright (c) Microsoft. All rights reserved. + + +def test_self_through_main(): + try: + from agent_framework.ollama import __version__ + except ImportError: + __version__ = None + + assert __version__ is not None + + +def test_self(): + try: + from agent_framework_ollama import __version__ + except ImportError: + __version__ = None + + assert __version__ is not None + + +def test_agent_framework(): + try: + from agent_framework import __version__ + except ImportError: + __version__ = None + + assert __version__ is not None diff --git a/python/samples/getting_started/chat_client/ollama_chat_client.py b/python/samples/getting_started/chat_client/ollama_chat_client.py new file mode 100644 index 0000000000..329f37ba6b --- /dev/null +++ b/python/samples/getting_started/chat_client/ollama_chat_client.py @@ -0,0 +1,36 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +from random import randint +from typing import Annotated + +from agent_framework.ollama import OllamaChatClient +from pydantic import Field + + +def get_weather( + location: Annotated[str, Field(description="The location to get the weather for.")], +) -> str: + """Get the weather for a given location.""" + conditions = ["sunny", "cloudy", "rainy", "stormy"] + return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C." + + +async def main() -> None: + client = OllamaChatClient() + message = "What's the weather in Amsterdam and in Paris?" + stream = False + print(f"User: {message}") + if stream: + print("Assistant: ", end="") + async for chunk in client.get_streaming_response(message, tools=get_weather): + if str(chunk): + print(str(chunk), end="") + print("") + else: + response = await client.get_response(message, tools=get_weather) + print(f"Assistant: {response}") + + +if __name__ == "__main__": + asyncio.run(main()) From 279392d12aa528df272a631fdc8969a047a387b1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Sat, 20 Sep 2025 13:52:43 +0200 Subject: [PATCH 08/37] Adjust samples to be more reliable --- .../ollama/agent_framework_ollama/__init__.py | 1 - .../agent_framework_ollama/_chat_client.py | 1 + .../ollama_chat_client_basic.py | 34 +++++++++---------- .../chat_client/ollama_chat_client.py | 24 ++++++------- 4 files changed, 30 insertions(+), 30 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/__init__.py b/python/packages/ollama/agent_framework_ollama/__init__.py index cebb06f942..969b607623 100644 --- a/python/packages/ollama/agent_framework_ollama/__init__.py +++ b/python/packages/ollama/agent_framework_ollama/__init__.py @@ -12,6 +12,5 @@ __all__ = [ "OllamaChatClient", "OllamaSettings", - "OllamaSettings", "__version__", ] diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index e604c4c301..ed6b76bc84 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -109,6 +109,7 @@ async def _inner_get_streaming_response( model=self.chat_model_id, stream=True, **options_dict, + **kwargs, ) async for part in response_object: diff --git a/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py index 4a76e4d71f..3169b2e512 100644 --- a/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py +++ b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py @@ -1,18 +1,19 @@ # Copyright (c) Microsoft. All rights reserved. import asyncio -from random import randint -from typing import Annotated +from datetime import datetime from agent_framework.ollama import OllamaChatClient +# Ensure to install Ollama and have a model running locally before running the sample +# Not all Models support function calling, to test function calling try llama3.2 +# Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. +# https://ollama.com/ -def get_weather( - location: Annotated[str, "The location to get the weather for."], -) -> str: - """Get the weather for a given location.""" - conditions = ["sunny", "cloudy", "rainy", "stormy"] - return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C." + +def get_time(): + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%I:%M %p')}." async def non_streaming_example() -> None: @@ -20,12 +21,12 @@ async def non_streaming_example() -> None: print("=== Non-streaming Response Example ===") agent = OllamaChatClient().create_agent( - name="WeatherAgent", - instructions="You are a helpful weather agent.", - tools=get_weather, + name="TimeAgent", + instructions="You are a helpful time agent answer in one sentence.", + tools=get_time, ) - query = "What's the weather like in Seattle?" + query = "What time is it in Seattle? Use a tool call" print(f"User: {query}") result = await agent.run(query) print(f"Result: {result}\n") @@ -36,12 +37,11 @@ async def streaming_example() -> None: print("=== Streaming Response Example ===") agent = OllamaChatClient().create_agent( - name="WeatherAgent", - instructions="You are a helpful weather agent.", - tools=get_weather, + name="TimeAgent", + instructions="You are a helpful time agent answer in one sentence.", + tools=get_time, ) - - query = "What's the weather like in Portland?" + query = "What time is it? Use a tool call" print(f"User: {query}") print("Agent: ", end="", flush=True) async for chunk in agent.run_stream(query): diff --git a/python/samples/getting_started/chat_client/ollama_chat_client.py b/python/samples/getting_started/chat_client/ollama_chat_client.py index 329f37ba6b..a85ddc3203 100644 --- a/python/samples/getting_started/chat_client/ollama_chat_client.py +++ b/python/samples/getting_started/chat_client/ollama_chat_client.py @@ -1,34 +1,34 @@ # Copyright (c) Microsoft. All rights reserved. import asyncio -from random import randint -from typing import Annotated +from datetime import datetime from agent_framework.ollama import OllamaChatClient -from pydantic import Field +# Ensure to install Ollama and have a model running locally before running the sample +# Not all Models support function calling, to test function calling try llama3.2 +# Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. +# https://ollama.com/ -def get_weather( - location: Annotated[str, Field(description="The location to get the weather for.")], -) -> str: - """Get the weather for a given location.""" - conditions = ["sunny", "cloudy", "rainy", "stormy"] - return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C." + +def get_time(): + """Get the current time.""" + return f"The current time is {datetime.now().strftime('%I:%M %p')}." async def main() -> None: client = OllamaChatClient() - message = "What's the weather in Amsterdam and in Paris?" + message = "What time is it? Use a tool call" stream = False print(f"User: {message}") if stream: print("Assistant: ", end="") - async for chunk in client.get_streaming_response(message, tools=get_weather): + async for chunk in client.get_streaming_response(message, tools=get_time): if str(chunk): print(str(chunk), end="") print("") else: - response = await client.get_response(message, tools=get_weather) + response = await client.get_response(message, tools=get_time) print(f"Assistant: {response}") From 0e62fd869c42892348a97388ff09744768c0c9ca Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Sat, 20 Sep 2025 14:04:38 +0200 Subject: [PATCH 09/37] Update python/packages/ollama/agent_framework_ollama/_chat_client.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- python/packages/ollama/agent_framework_ollama/_chat_client.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index ed6b76bc84..808209ee2c 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -169,7 +169,7 @@ def _agent_framework_to_ollama_message(self, message: ChatMessage) -> list[Ollam ) case DataContent(): if not content.has_top_level_media_type("image"): - raise ServiceInvalidRequestError("Only URIContent with image media type is supported.") + raise ServiceInvalidRequestError("Only DataContent with image media type is supported.") ollama_message = OllamaMessage( role=message.role.value, images=[OllamaImage(value=content.uri)], From ea7f1d5133f01263cb618c01914240368f4be63c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Sat, 20 Sep 2025 14:16:24 +0200 Subject: [PATCH 10/37] Update python/packages/ollama/pyproject.toml Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- python/packages/ollama/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml index f7650bbf32..4b4d42a87e 100644 --- a/python/packages/ollama/pyproject.toml +++ b/python/packages/ollama/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "agent-framework-ollama" -description = "Azure AI Ollama integration for Microsoft Agent Framework." +description = "Ollama integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "SK-Support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" From 0abeec6daf312ee699b5b63b55fdeac454cbce95 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Sat, 20 Sep 2025 14:21:39 +0200 Subject: [PATCH 11/37] Update python/packages/ollama/tests/test_ollama_chat_client.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- python/packages/ollama/tests/test_ollama_chat_client.py | 1 - 1 file changed, 1 deletion(-) diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index 9025587bc4..60620bf75b 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -22,7 +22,6 @@ # region Service Setup -# region Service Setup skip_if_azure_integration_tests_disabled = pytest.mark.skipif( os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true" From d2e2f1b430425e295511f555bf5f958a5197715b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Sat, 20 Sep 2025 14:21:55 +0200 Subject: [PATCH 12/37] Update python/packages/ollama/agent_framework_ollama/_chat_client.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- python/packages/ollama/agent_framework_ollama/_chat_client.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index 808209ee2c..018f6a700b 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -65,7 +65,7 @@ def __init__( Args: host: The Ollama server host URL. If not provided, the default host will be used. client: An optional Ollama Client instance. If not provided, a new instance will be created. - chat_model_id: The Ollama chat model ID to use.If not provided, the default model will be used. + chat_model_id: The Ollama chat model ID to use. If not provided, the default model will be used. env_file_path: An optional path to a dotenv (.env) file to load environment variables from. env_file_encoding: The encoding to use when reading the dotenv (.env) file. Defaults to 'utf-8'. """ From 133fd12aa969618b16566c2c25f2895dd75a14bd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Sun, 21 Sep 2025 09:58:49 +0200 Subject: [PATCH 13/37] Improved Docstrings & Sample --- .../agent_framework_ollama/_chat_client.py | 94 ++++++++++--------- .../ollama_chat_client_basic.py | 6 +- 2 files changed, 53 insertions(+), 47 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index 808209ee2c..cb3d92f93e 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -1,7 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. import json -from collections.abc import AsyncIterable, Mapping, MutableMapping, MutableSequence, Sequence +from collections.abc import AsyncIterable, MutableMapping, MutableSequence, Sequence from itertools import chain from typing import Any, ClassVar, TypeVar @@ -49,6 +49,8 @@ class OllamaSettings(AFBaseSettings): @use_function_invocation @use_telemetry class OllamaChatClient(BaseChatClient): + """Ollama Chat completion class.""" + client: AsyncClient chat_model_id: str @@ -63,9 +65,9 @@ def __init__( """Initialize an Ollama Chat client. Args: - host: The Ollama server host URL. If not provided, the default host will be used. + host: The Ollama server host URL. Can be set via the OLLAMA_HOST env variable. client: An optional Ollama Client instance. If not provided, a new instance will be created. - chat_model_id: The Ollama chat model ID to use.If not provided, the default model will be used. + chat_model_id: The Ollama chat model ID to use. Can be set via the OLLAMA_CHAT_MODEL_ID env variable. env_file_path: An optional path to a dotenv (.env) file to load environment variables from. env_file_encoding: The encoding to use when reading the dotenv (.env) file. Defaults to 'utf-8'. """ @@ -131,53 +133,52 @@ def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: # Currently Ollama only supports auto tool choice if chat_options.tool_choice == "required": raise ServiceInvalidRequestError("Ollama does not support required tool choice.") - # Remove Tool Choice since it's not available by Ollama + # Always auto: remove tool_choice since Ollama does not expose configuration to force or disable tools. if "tool_choice" in options_dict: del options_dict["tool_choice"] return options_dict def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: - list_of_list = [self._agent_framework_to_ollama_message(msg) for msg in messages] + list_of_list = [self._agent_framework_to_ollama_messages(msg) for msg in messages] # Flatten the list of lists into a single list return list(chain.from_iterable(list_of_list)) - def _agent_framework_to_ollama_message(self, message: ChatMessage) -> list[OllamaMessage]: - messages: list[OllamaMessage] = [] - for content in message.contents: - match content: - case TextContent(): - ollama_message = OllamaMessage(role=str(message.role), content=content.text) - case FunctionCallContent(): - ollama_message = OllamaMessage( - role=str(message.role), - tool_calls=[ - OllamaMessage.ToolCall( - function=OllamaMessage.ToolCall.Function( - name=content.name, - arguments=content.arguments - if isinstance(content.arguments, Mapping) - else json.loads(content.arguments or "{}"), - ) + def _agent_framework_to_ollama_messages(self, message: ChatMessage) -> list[OllamaMessage]: + return [self._agent_framework_content_to_ollama_message(content, message.role) for content in message.contents] + + def _agent_framework_content_to_ollama_message(self, content: Contents, role: Role) -> OllamaMessage: + match content: + case TextContent(): + return OllamaMessage(role=role.value, content=content.text) + case FunctionCallContent(): + return OllamaMessage( + role=role.value, + tool_calls=[ + OllamaMessage.ToolCall( + function=OllamaMessage.ToolCall.Function( + name=content.name, + arguments=content.arguments + if isinstance(content.arguments, dict) + else json.loads(content.arguments or "{}"), ) - ], - ) - case FunctionResultContent(): - ollama_message = OllamaMessage( - role=str(Role.TOOL), - content=content.result, - ) - case DataContent(): - if not content.has_top_level_media_type("image"): - raise ServiceInvalidRequestError("Only DataContent with image media type is supported.") - ollama_message = OllamaMessage( - role=message.role.value, - images=[OllamaImage(value=content.uri)], - ) - case _: - raise ServiceInvalidRequestError(f"Unsupported content type: {type(content)} for Ollama client.") - messages.append(ollama_message) - return messages + ) + ], + ) + case FunctionResultContent(): + return OllamaMessage( + role=str(Role.TOOL), + content=content.result, + ) + case DataContent(): + if not content.has_top_level_media_type("image"): + raise ServiceInvalidRequestError("Only DataContent with image media type is supported.") + return OllamaMessage( + role=role.value, + images=[OllamaImage(value=content.uri)], + ) + case _: + raise ServiceInvalidRequestError(f"Unsupported content type: {type(content)} for Ollama client.") def _ollama_to_agent_framework_message(self, response: OllamaChatResponse) -> ChatResponseUpdate: contents: list[Contents] = [] @@ -212,7 +213,11 @@ def _chat_to_tool_spec(self, tools: list[ToolProtocol | MutableMapping[str, Any] case AIFunction(): chat_tools.append(tool.to_json_schema_spec()) case _: - raise ServiceInvalidRequestError(f"Unsupported tool type: {type(tool)} for Ollama client.") + raise ServiceInvalidRequestError( + "Unsupported tool type '" + f"{type(tool).__name__}" + "' for Ollama client. Supported tool types: AIFunction." + ) else: chat_tools.append(tool if isinstance(tool, dict) else dict(tool)) return chat_tools @@ -222,9 +227,10 @@ def from_dict(cls: type[TOllamaChatClient], settings: dict[str, Any]) -> TOllama """Initialize an Ollama service from a dictionary of settings. Args: - settings: A dictionary of settings for the service. - should contain keys: service_id, and optionally: - ad_auth, ad_token_provider, default_headers + settings: A dictionary that may contain: + - ``host`` + - ``chat_model_id`` + Unknown keys are ignored. """ return cls( chat_model_id=settings.get("chat_model_id"), diff --git a/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py index 3169b2e512..3eba1f09c0 100644 --- a/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py +++ b/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py @@ -11,9 +11,9 @@ # https://ollama.com/ -def get_time(): +def get_time(location: str) -> str: """Get the current time.""" - return f"The current time is {datetime.now().strftime('%I:%M %p')}." + return f"The current time in {location} is {datetime.now().strftime('%I:%M %p')}." async def non_streaming_example() -> None: @@ -41,7 +41,7 @@ async def streaming_example() -> None: instructions="You are a helpful time agent answer in one sentence.", tools=get_time, ) - query = "What time is it? Use a tool call" + query = "What time is it in San Francisco? Use a tool call" print(f"User: {query}") print("Agent: ", end="", flush=True) async for chunk in agent.run_stream(query): From 8a780940a45722899bdabac0ce65cf84ecdb73ff Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Tue, 23 Sep 2025 15:15:26 +0200 Subject: [PATCH 14/37] Update python/packages/ollama/agent_framework_ollama/_chat_client.py Co-authored-by: Eduard van Valkenburg --- python/packages/ollama/agent_framework_ollama/_chat_client.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index cb3d92f93e..ade75b6ec1 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -39,7 +39,7 @@ class OllamaSettings(AFBaseSettings): env_prefix: ClassVar[str] = "OLLAMA_" host: str | None = None - chat_model_id: str | None = None + chat_model_id: str logger = get_logger("agent_framework.ollama") From f96f81760ff6d71df0b35905718a51006087cf80 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Wed, 24 Sep 2025 11:39:00 +0200 Subject: [PATCH 15/37] Integrate PR Feedback - Divided Streaming and Non-Streaming into independent Methods - Catch Ollama Validation Error - Add OTEL Provider Name - Checked Ollama Messages - Add Usage Statistics --- python/.vscode/settings.json | 5 - .../agent_framework_ollama/_chat_client.py | 151 ++++++++++------ .../ollama/tests/test_ollama_chat_client.py | 162 +++++++++++++----- 3 files changed, 221 insertions(+), 97 deletions(-) diff --git a/python/.vscode/settings.json b/python/.vscode/settings.json index 61da15d9b9..0a7de2972e 100644 --- a/python/.vscode/settings.json +++ b/python/.vscode/settings.json @@ -36,9 +36,4 @@ "depth": 2 } ], - "python.testing.pytestArgs": [ - "." - ], - "python.testing.unittestEnabled": false, - "python.testing.pytestEnabled": true } diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index cb3d92f93e..ed4bbeeb0a 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -1,8 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. import json -from collections.abc import AsyncIterable, MutableMapping, MutableSequence, Sequence -from itertools import chain +from collections.abc import AsyncIterable, Callable, Mapping, MutableMapping, MutableSequence, Sequence from typing import Any, ClassVar, TypeVar from agent_framework import ( @@ -19,6 +18,7 @@ Role, TextContent, ToolProtocol, + UsageDetails, get_logger, use_function_invocation, ) @@ -29,8 +29,8 @@ # Rename imported types to avoid naming conflicts with Agent Framework types from ollama._types import ChatResponse as OllamaChatResponse -from ollama._types import Image as OllamaImage from ollama._types import Message as OllamaMessage +from pydantic import ValidationError class OllamaSettings(AFBaseSettings): @@ -51,6 +51,7 @@ class OllamaSettings(AFBaseSettings): class OllamaChatClient(BaseChatClient): """Ollama Chat completion class.""" + OTEL_PROVIDER_NAME: ClassVar[str] = "ollama" # pyright: ignore[reportIncompatibleVariableOverride] client: AsyncClient chat_model_id: str @@ -71,9 +72,12 @@ def __init__( env_file_path: An optional path to a dotenv (.env) file to load environment variables from. env_file_encoding: The encoding to use when reading the dotenv (.env) file. Defaults to 'utf-8'. """ - ollama_settings = OllamaSettings( - host=host, chat_model_id=chat_model_id, env_file_encoding=env_file_encoding, env_file_path=env_file_path - ) + try: + ollama_settings = OllamaSettings( + host=host, chat_model_id=chat_model_id, env_file_encoding=env_file_encoding, env_file_path=env_file_path + ) + except ValidationError as ex: + raise ServiceInitializationError("Failed to create Ollama settings.", ex) from ex if ollama_settings.chat_model_id is None: raise ServiceInitializationError( @@ -94,10 +98,17 @@ async def _inner_get_response( chat_options: ChatOptions, **kwargs: Any, ) -> ChatResponse: - return await ChatResponse.from_chat_response_generator( - updates=self._inner_get_streaming_response(messages=messages, chat_options=chat_options, **kwargs) + options_dict = self._prepare_options(messages, chat_options) + + response: OllamaChatResponse = await self.client.chat( # type: ignore[misc] + model=self.chat_model_id, + stream=False, + **options_dict, + **kwargs, ) + return self._ollama_response_to_agent_framework_message(response) + async def _inner_get_streaming_response( self, *, @@ -115,7 +126,7 @@ async def _inner_get_streaming_response( ) async for part in response_object: - yield self._ollama_to_agent_framework_message(part) + yield self._ollama_streaming_response_to_agent_framework_message(part) def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions) -> dict[str, Any]: # Preprocess web search tool if it exists @@ -140,57 +151,95 @@ def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: return options_dict def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: - list_of_list = [self._agent_framework_to_ollama_messages(msg) for msg in messages] - # Flatten the list of lists into a single list - return list(chain.from_iterable(list_of_list)) - - def _agent_framework_to_ollama_messages(self, message: ChatMessage) -> list[OllamaMessage]: - return [self._agent_framework_content_to_ollama_message(content, message.role) for content in message.contents] - - def _agent_framework_content_to_ollama_message(self, content: Contents, role: Role) -> OllamaMessage: - match content: - case TextContent(): - return OllamaMessage(role=role.value, content=content.text) - case FunctionCallContent(): - return OllamaMessage( - role=role.value, - tool_calls=[ - OllamaMessage.ToolCall( - function=OllamaMessage.ToolCall.Function( - name=content.name, - arguments=content.arguments - if isinstance(content.arguments, dict) - else json.loads(content.arguments or "{}"), - ) - ) - ], - ) - case FunctionResultContent(): - return OllamaMessage( - role=str(Role.TOOL), - content=content.result, - ) - case DataContent(): - if not content.has_top_level_media_type("image"): - raise ServiceInvalidRequestError("Only DataContent with image media type is supported.") - return OllamaMessage( - role=role.value, - images=[OllamaImage(value=content.uri)], - ) - case _: - raise ServiceInvalidRequestError(f"Unsupported content type: {type(content)} for Ollama client.") - - def _ollama_to_agent_framework_message(self, response: OllamaChatResponse) -> ChatResponseUpdate: + return [self._agent_framework_to_ollama_message(msg) for msg in messages] + + def _agent_framework_to_ollama_message(self, message: ChatMessage) -> OllamaMessage: + MESSAGE_CONVERTERS: dict[str, Callable[[ChatMessage], OllamaMessage]] = { + Role.SYSTEM.value: self._format_system_message, + Role.USER.value: self._format_user_message, + Role.ASSISTANT.value: self._format_assistant_message, + Role.TOOL.value: self._format_tool_message, + } + return MESSAGE_CONVERTERS[message.role.value](message) + + def _format_system_message(self, message: ChatMessage) -> OllamaMessage: + return OllamaMessage(role="system", content=message.text) + + def _format_user_message(self, message: ChatMessage) -> OllamaMessage: + if not any(isinstance(c, (DataContent, TextContent)) for c in message.contents) and not message.text: + raise ServiceInvalidRequestError( + "Ollama connector currently only supports user messages with TextContent or DataContent." + ) + + if not any(isinstance(c, DataContent) for c in message.contents): + return OllamaMessage(role="user", content=message.text) + + user_message = OllamaMessage(role="user", content=message.text) + data_contents = [c for c in message.contents if isinstance(c, DataContent)] + if data_contents: + if not any(c.has_top_level_media_type("image") for c in data_contents): + raise ServiceInvalidRequestError("Only image data content is supported for user messages in Ollama.") + user_message["images"] = [c.uri for c in data_contents] + return user_message + + def _format_assistant_message(self, message: ChatMessage) -> OllamaMessage: + assistant_message = OllamaMessage(role="assistant", content=message.text) + + tool_calls = [item for item in message.contents if isinstance(item, FunctionCallContent)] + if tool_calls: + assistant_message["tool_calls"] = [ + { + "function": { + "name": tool_call.name, + "arguments": tool_call.arguments + if isinstance(tool_call.arguments, Mapping) + else json.loads(tool_call.arguments or "{}"), + } + } + for tool_call in tool_calls + ] + return assistant_message + + def _format_tool_message(self, message: ChatMessage) -> OllamaMessage: + function_result_items = [item for item in message.contents if isinstance(item, FunctionResultContent)] + + if not function_result_items: + raise ValueError("Tool message must have a function result content item.") + + return OllamaMessage(role="tool", content=str(function_result_items[0].result)) + + def _ollama_to_agent_framework_content(self, response: OllamaChatResponse) -> list[Contents]: contents: list[Contents] = [] if response.message.content: contents.append(TextContent(text=response.message.content)) if response.message.tool_calls: tool_calls = self._parse_ollama_tool_calls(response.message.tool_calls) contents.extend(tool_calls) + return contents + + def _ollama_streaming_response_to_agent_framework_message(self, response: OllamaChatResponse) -> ChatResponseUpdate: + contents = self._ollama_to_agent_framework_content(response) return ChatResponseUpdate( contents=contents, role=Role.ASSISTANT, - ai_model_id=self.chat_model_id, + ai_model_id=response.model, + created_at=response.created_at, + ) + + def _ollama_response_to_agent_framework_message(self, response: OllamaChatResponse) -> ChatResponse: + contents = self._ollama_to_agent_framework_content(response) + + return ChatResponse( + messages=[ChatMessage(role=Role.ASSISTANT, contents=contents)], + model_id=response.model, + created_at=response.created_at, + usage_details=UsageDetails( + input_token_count=response.prompt_eval_count, + output_token_count=response.eval_count, + total_token_count=response.prompt_eval_count + response.eval_count + if response.prompt_eval_count is not None and response.eval_count is not None + else None, + ), ) def _parse_ollama_tool_calls(self, tool_calls: Sequence[OllamaMessage.ToolCall]) -> list[Contents]: diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index 60620bf75b..29b38d92b4 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -1,15 +1,19 @@ # Copyright (c) Microsoft. All rights reserved. import os +from collections.abc import AsyncIterable from unittest.mock import AsyncMock, MagicMock, patch import pytest from agent_framework import ( BaseChatClient, ChatMessage, + ChatResponseUpdate, DataContent, + FunctionCallContent, FunctionResultContent, HostedWebSearchTool, + TextContent, UriContent, ) from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError @@ -22,6 +26,7 @@ # region Service Setup +os.environ["RUN_INTEGRATION_TESTS"] = "true" skip_if_azure_integration_tests_disabled = pytest.mark.skipif( os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true" @@ -32,6 +37,56 @@ ) +@pytest.fixture +def mock_streaming_chat_completion_response() -> AsyncStream[OllamaChatResponse]: + response = OllamaChatResponse( + message=OllamaMessage(content="test", role="assistant"), + model="test", + ) + stream = MagicMock(spec=AsyncStream) + stream.__aiter__.return_value = [response] + return stream + + +@pytest.fixture +def mock_chat_completion_response() -> OllamaChatResponse: + return OllamaChatResponse( + message=OllamaMessage(content="test", role="assistant"), + model="test", + eval_count=1, + prompt_eval_count=1, + created_at="2024-01-01T00:00:00Z", + ) + + +@pytest.fixture +def mock_streaming_chat_completion_tool_call() -> AsyncStream[OllamaChatResponse]: + ollama_tool_call = OllamaChatResponse( + message=OllamaMessage( + content="", + role="assistant", + tool_calls=[{"function": {"name": "hello_world", "arguments": {"arg1": "value1"}}}], + ), + model="test", + ) + stream = MagicMock(spec=AsyncStream) + stream.__aiter__.return_value = [ollama_tool_call] + return stream + + +@pytest.fixture +def mock_chat_completion_tool_call() -> OllamaChatResponse: + return OllamaChatResponse( + message=OllamaMessage( + content="", + role="assistant", + tool_calls=[{"function": {"name": "hello_world", "arguments": {"arg1": "value1"}}}], + ), + model="test", + created_at="2024-01-01T00:00:00Z", + ) + + def hello_world(arg1: str) -> str: return "Hello World" @@ -105,19 +160,8 @@ async def test_function_choice_required_argument() -> None: ) -@pytest.fixture -def mock_streaming_chat_completion_response() -> AsyncStream[OllamaChatResponse]: - response = OllamaChatResponse( - message=OllamaMessage(content="test", role="assistant"), - model="test", - ) - stream = MagicMock(spec=AsyncStream) - stream.__aiter__.return_value = [response] - return stream - - @patch.object(AsyncClient, "chat", new_callable=AsyncMock) -async def test_cmc( +async def test_cmc_streaming( mock_chat: AsyncMock, ollama_unit_test_env: dict[str, str], chat_history: list[ChatMessage], @@ -127,28 +171,14 @@ async def test_cmc( chat_history.append(ChatMessage(text="hello world", role="user")) ollama_client = OllamaChatClient() - result = await ollama_client.get_response(messages=chat_history) + result = ollama_client.get_streaming_response(messages=chat_history) - assert result.text == "test" - - -@pytest.fixture -def mock_streaming_chat_completion_tool_call() -> AsyncStream[OllamaChatResponse]: - ollama_tool_call = OllamaChatResponse( - message=OllamaMessage( - content="", - role="assistant", - tool_calls=[{"function": {"name": "hello_world", "arguments": {"arg1": "value1"}}}], - ), - model="test", - ) - stream = MagicMock(spec=AsyncStream) - stream.__aiter__.return_value = [ollama_tool_call] - return stream + async for chunk in result: + assert chunk.text == "test" @patch.object(AsyncClient, "chat", new_callable=AsyncMock) -async def test_cmc_with_tool_call( +async def test_cmc_streaming_with_tool_call( mock_chat: AsyncMock, ollama_unit_test_env: dict[str, str], chat_history: list[ChatMessage], @@ -160,12 +190,23 @@ async def test_cmc_with_tool_call( chat_history.append(ChatMessage(text="hello world", role="user")) ollama_client = OllamaChatClient() - result = await ollama_client.get_response(messages=chat_history, tools=[hello_world]) - - assert result.text == "test" - assert isinstance(result.messages[-2].contents[0], FunctionResultContent) - tool_result = result.messages[-2].contents[0] + result = ollama_client.get_streaming_response(messages=chat_history, tools=[hello_world]) + + chunks: list[ChatResponseUpdate] = [] + async for chunk in result: + chunks.append(chunk) + + # Check parsed Toolcalls + assert isinstance(chunks[0].contents[0], FunctionCallContent) + tool_call = chunks[0].contents[0] + assert tool_call.name == "hello_world" + assert tool_call.arguments == {"arg1": "value1"} + assert isinstance(chunks[1].contents[0], FunctionResultContent) + tool_result = chunks[1].contents[0] assert tool_result.result == "Hello World" + assert isinstance(chunks[2].contents[0], TextContent) + text_result = chunks[2].contents[0] + assert text_result.text == "test" async def test_cmc_with_hosted_tool_call( @@ -193,15 +234,14 @@ async def test_cmc_with_data_content_type( mock_chat: AsyncMock, ollama_unit_test_env: dict[str, str], chat_history: list[ChatMessage], - mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse], + mock_chat_completion_response: OllamaChatResponse, ) -> None: - mock_chat.return_value = mock_streaming_chat_completion_response + mock_chat.return_value = mock_chat_completion_response chat_history.append( ChatMessage(contents=[DataContent(uri="data:image/png;base64,xyz", media_type="image/png")], role="user") ) ollama_client = OllamaChatClient() - ollama_client.client.chat = AsyncMock(return_value=mock_streaming_chat_completion_response) result = await ollama_client.get_response(messages=chat_history) assert result.text == "test" @@ -232,17 +272,16 @@ async def test_cmc_with_invalid_content_type( mock_chat: AsyncMock, ollama_unit_test_env: dict[str, str], chat_history: list[ChatMessage], - mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse], + mock_chat_completion_response: AsyncStream[OllamaChatResponse], ) -> None: with pytest.raises(ServiceInvalidRequestError): - mock_chat.return_value = mock_streaming_chat_completion_response + mock_chat.return_value = mock_chat_completion_response # Remote Uris are not supported by Ollama client chat_history.append( ChatMessage(contents=[UriContent(uri="http://example.com/image.png", media_type="image/png")], 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) @@ -272,3 +311,44 @@ async def test_cmc_integration_with_chat_completion( result = await ollama_client.get_response(messages=chat_history) assert "hello" in result.text.lower() and "world" in result.text.lower() + + +@skip_if_azure_integration_tests_disabled +async def test_cmc_streaming_integration_with_tool_call( + chat_history: list[ChatMessage], +) -> None: + chat_history.append(ChatMessage(text="Call the hello world function and repeat what it says", role="user")) + + ollama_client = OllamaChatClient() + result: AsyncIterable[ChatResponseUpdate] = ollama_client.get_streaming_response( + messages=chat_history, tools=[hello_world] + ) + + chunks: list[ChatResponseUpdate] = [] + async for chunk in result: + chunks.append(chunk) + + for c in chunks: + if len(c.contents) > 0: + if isinstance(c.contents[0], FunctionResultContent): + tool_result = c.contents[0] + assert tool_result.result == "Hello World" + if isinstance(c.contents[0], FunctionCallContent): + tool_call = c.contents[0] + assert tool_call.name == "hello_world" + + +@skip_if_azure_integration_tests_disabled +async def test_cmc_streaming_integration_with_chat_completion( + chat_history: list[ChatMessage], +) -> None: + chat_history.append(ChatMessage(text="Say Hello World", role="user")) + + ollama_client = OllamaChatClient() + result: AsyncIterable[ChatResponseUpdate] = ollama_client.get_streaming_response(messages=chat_history) + + full_text = "" + async for chunk in result: + full_text += chunk.text + + assert "hello" in full_text.lower() and "world" in full_text.lower() From d28bea001029feb855aeb6ab1e7b1a6072435eb2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Wed, 24 Sep 2025 16:51:13 +0200 Subject: [PATCH 16/37] Revert setting, so it can be none --- python/packages/ollama/agent_framework_ollama/_chat_client.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index e5d7d2b0e8..ed4bbeeb0a 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -39,7 +39,7 @@ class OllamaSettings(AFBaseSettings): env_prefix: ClassVar[str] = "OLLAMA_" host: str | None = None - chat_model_id: str + chat_model_id: str | None = None logger = get_logger("agent_framework.ollama") From 1030b50830fc75db7a0917bb8eaf56b9b4b3f5e1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Wed, 24 Sep 2025 17:48:58 +0200 Subject: [PATCH 17/37] Validate Message formatting between AF and Ollama --- .../agent_framework_ollama/_chat_client.py | 36 +++++++++++-------- 1 file changed, 22 insertions(+), 14 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index ed4bbeeb0a..aea03d845f 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -2,6 +2,7 @@ import json from collections.abc import AsyncIterable, Callable, Mapping, MutableMapping, MutableSequence, Sequence +from itertools import chain from typing import Any, ClassVar, TypeVar from agent_framework import ( @@ -151,10 +152,12 @@ def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: return options_dict def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: - return [self._agent_framework_to_ollama_message(msg) for msg in messages] + ollama_messages = [self._agent_framework_to_ollama_message(msg) for msg in messages] + # Flatten the list of lists into a single list + return list(chain.from_iterable(ollama_messages)) - def _agent_framework_to_ollama_message(self, message: ChatMessage) -> OllamaMessage: - MESSAGE_CONVERTERS: dict[str, Callable[[ChatMessage], OllamaMessage]] = { + def _agent_framework_to_ollama_message(self, message: ChatMessage) -> list[OllamaMessage]: + MESSAGE_CONVERTERS: dict[str, Callable[[ChatMessage], list[OllamaMessage]]] = { Role.SYSTEM.value: self._format_system_message, Role.USER.value: self._format_user_message, Role.ASSISTANT.value: self._format_assistant_message, @@ -162,17 +165,17 @@ def _agent_framework_to_ollama_message(self, message: ChatMessage) -> OllamaMess } return MESSAGE_CONVERTERS[message.role.value](message) - def _format_system_message(self, message: ChatMessage) -> OllamaMessage: - return OllamaMessage(role="system", content=message.text) + def _format_system_message(self, message: ChatMessage) -> list[OllamaMessage]: + return [OllamaMessage(role="system", content=message.text)] - def _format_user_message(self, message: ChatMessage) -> OllamaMessage: + def _format_user_message(self, message: ChatMessage) -> list[OllamaMessage]: if not any(isinstance(c, (DataContent, TextContent)) for c in message.contents) and not message.text: raise ServiceInvalidRequestError( "Ollama connector currently only supports user messages with TextContent or DataContent." ) if not any(isinstance(c, DataContent) for c in message.contents): - return OllamaMessage(role="user", content=message.text) + return [OllamaMessage(role="user", content=message.text)] user_message = OllamaMessage(role="user", content=message.text) data_contents = [c for c in message.contents if isinstance(c, DataContent)] @@ -180,9 +183,9 @@ def _format_user_message(self, message: ChatMessage) -> OllamaMessage: if not any(c.has_top_level_media_type("image") for c in data_contents): raise ServiceInvalidRequestError("Only image data content is supported for user messages in Ollama.") user_message["images"] = [c.uri for c in data_contents] - return user_message + return [user_message] - def _format_assistant_message(self, message: ChatMessage) -> OllamaMessage: + def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage]: assistant_message = OllamaMessage(role="assistant", content=message.text) tool_calls = [item for item in message.contents if isinstance(item, FunctionCallContent)] @@ -190,6 +193,7 @@ def _format_assistant_message(self, message: ChatMessage) -> OllamaMessage: assistant_message["tool_calls"] = [ { "function": { + "call_id": tool_call.call_id, "name": tool_call.name, "arguments": tool_call.arguments if isinstance(tool_call.arguments, Mapping) @@ -198,15 +202,19 @@ def _format_assistant_message(self, message: ChatMessage) -> OllamaMessage: } for tool_call in tool_calls ] - return assistant_message + return [assistant_message] - def _format_tool_message(self, message: ChatMessage) -> OllamaMessage: - function_result_items = [item for item in message.contents if isinstance(item, FunctionResultContent)] + def _format_tool_message(self, message: ChatMessage) -> list[OllamaMessage]: + function_result_items = [ + OllamaMessage(role="tool", content=str(item.result), tool_name=item.call_id) + for item in message.contents + if isinstance(item, FunctionResultContent) + ] if not function_result_items: raise ValueError("Tool message must have a function result content item.") - return OllamaMessage(role="tool", content=str(function_result_items[0].result)) + return function_result_items def _ollama_to_agent_framework_content(self, response: OllamaChatResponse) -> list[Contents]: contents: list[Contents] = [] @@ -246,7 +254,7 @@ def _parse_ollama_tool_calls(self, tool_calls: Sequence[OllamaMessage.ToolCall]) resp: list[Contents] = [] for tool in tool_calls: fcc = FunctionCallContent( - call_id="", # Ollama does not provide a call ID + call_id=tool.function.name, # Use name of function as call ID since Ollama doesn't provide a call ID name=tool.function.name, arguments=tool.function.arguments if isinstance(tool.function.arguments, dict) else "", raw_representation=tool.function, From 290d2f7cd9c02c7e178eead135456e22aa5739c3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 25 Sep 2025 09:08:38 +0200 Subject: [PATCH 18/37] Catch Ollama Error and raise a ServiceResponse Error --- .../agent_framework_ollama/_chat_client.py | 37 ++++++++++++------- 1 file changed, 24 insertions(+), 13 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index aea03d845f..1f4c7b6e1c 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -24,7 +24,7 @@ use_function_invocation, ) from agent_framework._pydantic import AFBaseSettings -from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError +from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError, ServiceResponseException from agent_framework.telemetry import use_telemetry from ollama import AsyncClient @@ -101,12 +101,15 @@ async def _inner_get_response( ) -> ChatResponse: options_dict = self._prepare_options(messages, chat_options) - response: OllamaChatResponse = await self.client.chat( # type: ignore[misc] - model=self.chat_model_id, - stream=False, - **options_dict, - **kwargs, - ) + try: + response: OllamaChatResponse = await self.client.chat( # type: ignore[misc] + model=self.chat_model_id, + stream=False, + **options_dict, + **kwargs, + ) + except Exception as ex: + raise ServiceResponseException("Ollama chat request failed.", ex) from ex return self._ollama_response_to_agent_framework_message(response) @@ -119,12 +122,15 @@ async def _inner_get_streaming_response( ) -> AsyncIterable[ChatResponseUpdate]: options_dict = self._prepare_options(messages, chat_options) - response_object: AsyncIterable[OllamaChatResponse] = await self.client.chat( # type: ignore[misc] - model=self.chat_model_id, - stream=True, - **options_dict, - **kwargs, - ) + try: + response_object: AsyncIterable[OllamaChatResponse] = await self.client.chat( # type: ignore[misc] + model=self.chat_model_id, + stream=True, + **options_dict, + **kwargs, + ) + except Exception as ex: + raise ServiceResponseException("Ollama streaming chat request failed.", ex) from ex async for part in response_object: yield self._ollama_streaming_response_to_agent_framework_message(part) @@ -186,6 +192,10 @@ def _format_user_message(self, message: ChatMessage) -> list[OllamaMessage]: return [user_message] def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage]: + if not any(isinstance(c, (FunctionCallContent, TextContent)) for c in message.contents): + raise ServiceInvalidRequestError( + "Ollama connector currently only supports user messages with TextContent or FunctionCallContent." + ) assistant_message = OllamaMessage(role="assistant", content=message.text) tool_calls = [item for item in message.contents if isinstance(item, FunctionCallContent)] @@ -205,6 +215,7 @@ def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage] return [assistant_message] def _format_tool_message(self, message: ChatMessage) -> list[OllamaMessage]: + # Ollama does not support multiple tool results in a single message, so we create a separate function_result_items = [ OllamaMessage(role="tool", content=str(item.result), tool_name=item.call_id) for item in message.contents From 79933f88039a122b6d7801d42b50b570018c5088 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 25 Sep 2025 09:56:29 +0200 Subject: [PATCH 19/37] Fix mypy error --- python/packages/ollama/agent_framework_ollama/_chat_client.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index cf23a16779..e1744e6f1a 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -52,7 +52,7 @@ class OllamaSettings(AFBaseSettings): class OllamaChatClient(BaseChatClient): """Ollama Chat completion class.""" - OTEL_PROVIDER_NAME: ClassVar[str] = "ollama" # pyright: ignore[reportIncompatibleVariableOverride] + OTEL_PROVIDER_NAME: ClassVar[str] = "ollama" # type: ignore[reportIncompatibleVariableOverride, misc] client: AsyncClient chat_model_id: str From 604b54587cbd618774d6678fa83a44eccd296a70 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 25 Sep 2025 10:21:26 +0200 Subject: [PATCH 20/37] remove .vscode comma --- python/.vscode/settings.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/.vscode/settings.json b/python/.vscode/settings.json index 0a7de2972e..181b926ac0 100644 --- a/python/.vscode/settings.json +++ b/python/.vscode/settings.json @@ -35,5 +35,5 @@ "name": "azure", "depth": 2 } - ], + ] } From d180c2c5563f3a67042cd4532ef47f846605cd00 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 2 Oct 2025 20:58:29 +0200 Subject: [PATCH 21/37] Add Reasoning support & adjust to new structure --- .../agent_framework_ollama/_chat_client.py | 50 ++++++++++----- .../ollama_agent_basic.py} | 0 .../agents/ollama/ollama_agent_reasoning.py | 63 +++++++++++++++++++ 3 files changed, 99 insertions(+), 14 deletions(-) rename python/samples/getting_started/agents/{ollama_chat_client/ollama_chat_client_basic.py => ollama/ollama_agent_basic.py} (100%) create mode 100644 python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index ef8fcec566..9c2f12780a 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -3,7 +3,7 @@ import json from collections.abc import AsyncIterable, Callable, Mapping, MutableMapping, MutableSequence, Sequence from itertools import chain -from typing import Any, ClassVar, TypeVar +from typing import Any, ClassVar from agent_framework import ( AIFunction, @@ -18,9 +18,11 @@ FunctionResultContent, Role, TextContent, + TextReasoningContent, ToolProtocol, UsageDetails, get_logger, + use_chat_middleware, use_function_invocation, ) from agent_framework._pydantic import AFBaseSettings @@ -44,17 +46,15 @@ class OllamaSettings(AFBaseSettings): logger = get_logger("agent_framework.ollama") -TOllamaChatClient = TypeVar("TOllamaChatClient", bound="OllamaChatClient") @use_function_invocation @use_observability +@use_chat_middleware class OllamaChatClient(BaseChatClient): """Ollama Chat completion class.""" - OTEL_PROVIDER_NAME: ClassVar[str] = "ollama" # type: ignore[reportIncompatibleVariableOverride, misc] - client: AsyncClient - chat_model_id: str + OTEL_PROVIDER_NAME: ClassVar[str] = "ollama" def __init__( self, @@ -63,6 +63,7 @@ def __init__( chat_model_id: str | None = None, env_file_path: str | None = None, env_file_encoding: str | None = None, + **kwargs: Any, ) -> None: """Initialize an Ollama Chat client. @@ -72,6 +73,7 @@ def __init__( chat_model_id: The Ollama chat model ID to use. Can be set via the OLLAMA_CHAT_MODEL_ID env variable. env_file_path: An optional path to a dotenv (.env) file to load environment variables from. env_file_encoding: The encoding to use when reading the dotenv (.env) file. Defaults to 'utf-8'. + **kwargs: Additional keyword arguments passed to BaseChatClient. """ try: ollama_settings = OllamaSettings( @@ -85,12 +87,24 @@ def __init__( "Ollama chat model ID must be provided via chat_model_id or OLLAMA_CHAT_MODEL_ID environment variable." ) - client = client or AsyncClient(host=ollama_settings.host) + self.chat_model_id = ollama_settings.chat_model_id + self.client = client or AsyncClient(host=ollama_settings.host) + # Save Host URL for serialization with to_dict() + self.host = str(self.client._client.base_url) - super().__init__( - client=client, # type: ignore[reportCallIssue] - chat_model_id=ollama_settings.chat_model_id, # type: ignore[reportCallIssue] - ) + # Call super().__init__() to continue MRO chain (e.g., BaseChatClient) + # Extract known kwargs that belong to other base classes + additional_properties = kwargs.pop("additional_properties", None) + middleware = kwargs.pop("middleware", None) + + # Build super().__init__() args + super_kwargs = {} + if additional_properties is not None: + super_kwargs["additional_properties"] = additional_properties + if middleware is not None: + super_kwargs["middleware"] = middleware + + super().__init__(**super_kwargs) async def _inner_get_response( self, @@ -137,7 +151,7 @@ async def _inner_get_streaming_response( def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions) -> dict[str, Any]: # Preprocess web search tool if it exists - options_dict = chat_options.to_provider_settings() + options_dict = chat_options.to_provider_settings(exclude={"instructions"}) # Prepare Messages from Agent Framework format to Ollama format if messages and "messages" not in options_dict: options_dict["messages"] = self._prepare_chat_history_for_request(messages) @@ -192,11 +206,17 @@ def _format_user_message(self, message: ChatMessage) -> list[OllamaMessage]: return [user_message] def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage]: - if not any(isinstance(c, (FunctionCallContent, TextContent)) for c in message.contents): + if not any(isinstance(c, (FunctionCallContent, TextContent, TextReasoningContent)) for c in message.contents): raise ServiceInvalidRequestError( - "Ollama connector currently only supports user messages with TextContent or FunctionCallContent." + "Ollama connector currently only supports user messages with TextContent," + " TextReasoningContent, or FunctionCallContent." ) - assistant_message = OllamaMessage(role="assistant", content=message.text) + + assistant_message = OllamaMessage(role="assistant") + if isinstance(message, TextContent): + assistant_message.content = message.text + if isinstance(message, TextReasoningContent): + assistant_message.thinking = message.text tool_calls = [item for item in message.contents if isinstance(item, FunctionCallContent)] if tool_calls: @@ -229,6 +249,8 @@ def _format_tool_message(self, message: ChatMessage) -> list[OllamaMessage]: def _ollama_to_agent_framework_content(self, response: OllamaChatResponse) -> list[Contents]: contents: list[Contents] = [] + if response.message.thinking: + contents.append(TextReasoningContent(text=response.message.thinking)) if response.message.content: contents.append(TextContent(text=response.message.content)) if response.message.tool_calls: diff --git a/python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py b/python/samples/getting_started/agents/ollama/ollama_agent_basic.py similarity index 100% rename from python/samples/getting_started/agents/ollama_chat_client/ollama_chat_client_basic.py rename to python/samples/getting_started/agents/ollama/ollama_agent_basic.py diff --git a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py new file mode 100644 index 0000000000..06fab189ca --- /dev/null +++ b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py @@ -0,0 +1,63 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +from datetime import datetime + +from agent_framework.ollama import OllamaChatClient + +# Ensure to install Ollama and have a model running locally before running the sample +# Not all Models support function calling, to test function calling try llama3.2 +# Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. +# https://ollama.com/ + + +def get_time(location: str) -> str: + """Get the current time.""" + return f"The current time in {location} is {datetime.now().strftime('%I:%M %p')}." + + +async def non_streaming_example() -> None: + """Example of non-streaming response (get the complete result at once).""" + print("=== Non-streaming Response Example ===") + + agent = OllamaChatClient().create_agent( + name="TimeAgent", + instructions="You are a helpful time agent answer in one sentence.", + tools=get_time, + request_kwargs={"think": True}, # Enable think to get reasoning on Agent Level + ) + + query = "What time is it in Seattle? Use a tool call" + print(f"User: {query}") + result = await agent.run(query) + print(f"Result: {result}\n") + + +async def streaming_example() -> None: + """Example of streaming response (get results as they are generated).""" + print("=== Streaming Response Example ===") + + agent = OllamaChatClient().create_agent( + name="TimeAgent", + instructions="You are a helpful time agent answer in one sentence.", + tools=get_time, + ) + query = "What time is it in San Francisco? Use a tool call" + print(f"User: {query}") + print("Agent: ", end="", flush=True) + # Enable Reasoning on per request level + async for chunk in agent.run_stream(query, think=True): + if chunk.text: + print(chunk.text, end="", flush=True) + print("\n") + + +async def main() -> None: + print("=== Basic Ollama Chat Client Agent Example ===") + + await non_streaming_example() + await streaming_example() + + +if __name__ == "__main__": + asyncio.run(main()) From c09242bcf1d77ee896e19f327b14e2161b853a41 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 3 Oct 2025 12:37:18 +0200 Subject: [PATCH 22/37] Add Ollama Multimodality and Reasoning --- .../packages/core/agent_framework/_types.py | 29 ++++++++++ .../agent_framework_ollama/_chat_client.py | 3 +- .../ollama/tests/test_ollama_chat_client.py | 5 +- .../agents/ollama/ollama_agent_basic.py | 15 +++-- .../agents/ollama/ollama_agent_reasoning.py | 56 ++++++------------- .../ollama_chat_multimodal.py | 52 +++++++++++++++++ 6 files changed, 116 insertions(+), 44 deletions(-) create mode 100644 python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py index dabec534e9..6faddedf1c 100644 --- a/python/packages/core/agent_framework/_types.py +++ b/python/packages/core/agent_framework/_types.py @@ -1663,6 +1663,15 @@ def text(self) -> str: """ return " ".join(content.text for content in self.contents if isinstance(content, TextContent)) + @property + def reasoning(self) -> str: + """Returns the reasoning content of the message. + + Remarks: + This property concatenates the text of all TextReasoningContent objects in Contents. + """ + return " ".join(content.text for content in self.contents if isinstance(content, TextReasoningContent)) + # region ChatResponse @@ -1962,6 +1971,11 @@ def text(self) -> str: """Returns the concatenated text of all messages in the response.""" return ("\n".join(message.text for message in self.messages if isinstance(message, ChatMessage))).strip() + @property + def reasoning(self) -> str: + """Returns the concatenated reasoning of all messages in the response.""" + return ("\n".join(message.reasoning for message in self.messages if isinstance(message, ChatMessage))).strip() + def __str__(self) -> str: return self.text @@ -2068,6 +2082,11 @@ def text(self) -> str: """Returns the concatenated text of all contents in the update.""" return "".join(content.text for content in self.contents if isinstance(content, TextContent)) + @property + def reasoning(self) -> str: + """Returns the reasoning content of the message.""" + return " ".join(content.text for content in self.contents if isinstance(content, TextReasoningContent)) + def __str__(self) -> str: return self.text @@ -2159,6 +2178,11 @@ def text(self) -> str: """Get the concatenated text of all messages.""" return "".join(msg.text for msg in self.messages) if self.messages else "" + @property + def reasoning(self) -> str: + """Get the concatenated reasoning of all messages.""" + return " ".join(msg.reasoning for msg in self.messages) if self.messages else "" + @property def user_input_requests(self) -> list[UserInputRequestContents]: """Get all BaseUserInputRequest messages from the response.""" @@ -2281,6 +2305,11 @@ def text(self) -> str: else "" ) + @property + def reasoning(self) -> str: + """Get the concatenated text of all TextReasoningContent objects in contents.""" + return " ".join(content.text for content in self.contents if isinstance(content, TextReasoningContent)) + @property def user_input_requests(self) -> list[UserInputRequestContents]: """Get all BaseUserInputRequest messages from the response.""" diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index 9c2f12780a..f7cb78d2b4 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -202,7 +202,8 @@ def _format_user_message(self, message: ChatMessage) -> list[OllamaMessage]: if data_contents: if not any(c.has_top_level_media_type("image") for c in data_contents): raise ServiceInvalidRequestError("Only image data content is supported for user messages in Ollama.") - user_message["images"] = [c.uri for c in data_contents] + # Ollama expects base64 strings without prefix + user_message["images"] = [c.uri.split(",")[1] for c in data_contents] return [user_message] def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage]: diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index 29b38d92b4..efdcae1d70 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -26,7 +26,7 @@ # region Service Setup -os.environ["RUN_INTEGRATION_TESTS"] = "true" +os.environ["RUN_INTEGRATION_TESTS"] = "false" skip_if_azure_integration_tests_disabled = pytest.mark.skipif( os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true" @@ -104,6 +104,9 @@ def test_init(ollama_unit_test_env: dict[str, str]) -> None: def test_init_client(ollama_unit_test_env: dict[str, str]) -> None: # Test successful initialization with provided client test_client = MagicMock(spec=AsyncClient) + # Mock underlying HTTP client's base_url + test_client._client = MagicMock() + test_client._client.base_url = ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] ollama_chat_client = OllamaChatClient(client=test_client) assert ollama_chat_client.client is test_client diff --git a/python/samples/getting_started/agents/ollama/ollama_agent_basic.py b/python/samples/getting_started/agents/ollama/ollama_agent_basic.py index 3eba1f09c0..4d2a69b56b 100644 --- a/python/samples/getting_started/agents/ollama/ollama_agent_basic.py +++ b/python/samples/getting_started/agents/ollama/ollama_agent_basic.py @@ -5,10 +5,17 @@ from agent_framework.ollama import OllamaChatClient -# Ensure to install Ollama and have a model running locally before running the sample -# Not all Models support function calling, to test function calling try llama3.2 -# Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. -# https://ollama.com/ +""" +Ollama Agent Basic Example + +This sample demonstrates implementing a Ollama agent with basic tool usage. + +Ensure to install Ollama and have a model running locally before running the sample +Not all Models support function calling, to test function calling try llama3.2 or qwen3:4b +Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. +https://ollama.com/ + +""" def get_time(location: str) -> str: diff --git a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py index 06fab189ca..be7e223e16 100644 --- a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py +++ b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py @@ -1,62 +1,42 @@ # Copyright (c) Microsoft. All rights reserved. import asyncio -from datetime import datetime from agent_framework.ollama import OllamaChatClient -# Ensure to install Ollama and have a model running locally before running the sample -# Not all Models support function calling, to test function calling try llama3.2 -# Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. -# https://ollama.com/ +""" +Ollama Agent Reasoning Example +This sample demonstrates implementing a Ollama agent with reasoning. -def get_time(location: str) -> str: - """Get the current time.""" - return f"The current time in {location} is {datetime.now().strftime('%I:%M %p')}." +Ensure to install Ollama and have a model running locally before running the sample +Not all Models support reasoning, to test reasoning try qwen3:8b +Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. +https://ollama.com/ +""" -async def non_streaming_example() -> None: - """Example of non-streaming response (get the complete result at once).""" - print("=== Non-streaming Response Example ===") - agent = OllamaChatClient().create_agent( - name="TimeAgent", - instructions="You are a helpful time agent answer in one sentence.", - tools=get_time, - request_kwargs={"think": True}, # Enable think to get reasoning on Agent Level - ) - - query = "What time is it in Seattle? Use a tool call" - print(f"User: {query}") - result = await agent.run(query) - print(f"Result: {result}\n") - - -async def streaming_example() -> None: - """Example of streaming response (get results as they are generated).""" - print("=== Streaming Response Example ===") +async def reasoning_example() -> None: + print("=== Response Reasoning Example ===") agent = OllamaChatClient().create_agent( name="TimeAgent", - instructions="You are a helpful time agent answer in one sentence.", - tools=get_time, + instructions="You are a helpful agent answer in one sentence.", + request_kwargs={"think": True}, # Enable Reasoning on agent level ) - query = "What time is it in San Francisco? Use a tool call" + query = "Hey what is 3+4? Can you explain how you got to that answer?" print(f"User: {query}") - print("Agent: ", end="", flush=True) # Enable Reasoning on per request level - async for chunk in agent.run_stream(query, think=True): - if chunk.text: - print(chunk.text, end="", flush=True) - print("\n") + result = await agent.run(query) + print(f"Reasoning: {result.reasoning}") + print(f"Answer: {result}\n") async def main() -> None: - print("=== Basic Ollama Chat Client Agent Example ===") + print("=== Basic Ollama Chat Client Agent Reasoning ===") - await non_streaming_example() - await streaming_example() + await reasoning_example() if __name__ == "__main__": diff --git a/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py b/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py new file mode 100644 index 0000000000..390e10fda0 --- /dev/null +++ b/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py @@ -0,0 +1,52 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +import base64 + +import requests +from agent_framework import ChatMessage, DataContent, Role, TextContent +from agent_framework.ollama import OllamaChatClient + +""" +Ollama Agent Multimodal Example + +This sample demonstrates implementing a Ollama agent with multimodal input capabilities. + +Ensure to install Ollama and have a model running locally before running the sample +Not all Models support function calling, to test multimodal input try gemma3:4b +Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. +https://ollama.com/ + +""" + + +async def test_image() -> None: + """Test image analysis with Ollama.""" + + client = OllamaChatClient() + + # Fetch image from httpbin + image_url = "https://httpbin.org/image/jpeg" + response = requests.get(image_url) + image_b64 = base64.b64encode(response.content).decode() + image_uri = f"data:image/jpeg;base64,{image_b64}" + + message = ChatMessage( + role=Role.USER, + contents=[ + TextContent(text="What's in this image?"), + DataContent(uri=image_uri, media_type="image/jpeg"), + ], + ) + + response = await client.get_response(message) + print(f"Image Response: {response}") + + +async def main() -> None: + print("=== Testing Ollama Multimodal ===") + await test_image() + + +if __name__ == "__main__": + asyncio.run(main()) From f0bc63829f7cd3e2bd60c04ea1a47e5ba402b768 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 3 Oct 2025 20:00:47 +0200 Subject: [PATCH 23/37] Add test cases for reasoning --- .../agent_framework_ollama/_chat_client.py | 2 +- .../ollama/tests/test_ollama_chat_client.py | 71 +++++++++++++++++++ 2 files changed, 72 insertions(+), 1 deletion(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index f7cb78d2b4..dc5066569b 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -123,7 +123,7 @@ async def _inner_get_response( **kwargs, ) except Exception as ex: - raise ServiceResponseException("Ollama chat request failed.", ex) from ex + raise ServiceResponseException(f"Ollama chat request failed : {ex}", ex) from ex return self._ollama_response_to_agent_framework_message(response) diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index efdcae1d70..2896daac53 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -48,6 +48,17 @@ def mock_streaming_chat_completion_response() -> AsyncStream[OllamaChatResponse] return stream +@pytest.fixture +def mock_streaming_chat_completion_response_reasoning() -> AsyncStream[OllamaChatResponse]: + response = OllamaChatResponse( + message=OllamaMessage(thinking="test", role="assistant"), + model="test", + ) + stream = MagicMock(spec=AsyncStream) + stream.__aiter__.return_value = [response] + return stream + + @pytest.fixture def mock_chat_completion_response() -> OllamaChatResponse: return OllamaChatResponse( @@ -59,6 +70,17 @@ def mock_chat_completion_response() -> OllamaChatResponse: ) +@pytest.fixture +def mock_chat_completion_response_reasoning() -> OllamaChatResponse: + return OllamaChatResponse( + message=OllamaMessage(thinking="test", role="assistant"), + model="test", + eval_count=1, + prompt_eval_count=1, + created_at="2024-01-01T00:00:00Z", + ) + + @pytest.fixture def mock_streaming_chat_completion_tool_call() -> AsyncStream[OllamaChatResponse]: ollama_tool_call = OllamaChatResponse( @@ -163,6 +185,38 @@ async def test_function_choice_required_argument() -> None: ) +@patch.object(AsyncClient, "chat", new_callable=AsyncMock) +async def test_cmc( + mock_chat: AsyncMock, + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], + mock_chat_completion_response: AsyncStream[OllamaChatResponse], +) -> None: + mock_chat.return_value = mock_chat_completion_response + chat_history.append(ChatMessage(text="hello world", 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_reasoning( + mock_chat: AsyncMock, + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], + mock_chat_completion_response_reasoning: AsyncStream[OllamaChatResponse], +) -> None: + mock_chat.return_value = mock_chat_completion_response_reasoning + chat_history.append(ChatMessage(text="hello world", role="user")) + + ollama_client = OllamaChatClient() + result = await ollama_client.get_response(messages=chat_history) + + assert result.reasoning == "test" + + @patch.object(AsyncClient, "chat", new_callable=AsyncMock) async def test_cmc_streaming( mock_chat: AsyncMock, @@ -180,6 +234,23 @@ async def test_cmc_streaming( assert chunk.text == "test" +@patch.object(AsyncClient, "chat", new_callable=AsyncMock) +async def test_cmc_streaming_reasoning( + mock_chat: AsyncMock, + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], + mock_streaming_chat_completion_response_reasoning: AsyncStream[OllamaChatResponse], +) -> None: + mock_chat.return_value = mock_streaming_chat_completion_response_reasoning + chat_history.append(ChatMessage(text="hello world", role="user")) + + ollama_client = OllamaChatClient() + result = ollama_client.get_streaming_response(messages=chat_history) + + async for chunk in result: + assert chunk.reasoning == "test" + + @patch.object(AsyncClient, "chat", new_callable=AsyncMock) async def test_cmc_streaming_with_tool_call( mock_chat: AsyncMock, From 83ba55667c7db50725f2390ea4f7cf7f1af1e340 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 3 Oct 2025 20:27:18 +0200 Subject: [PATCH 24/37] Add Tests for Error Handling in Ollama Client --- .../agent_framework_ollama/_chat_client.py | 2 +- .../ollama/tests/test_ollama_chat_client.py | 43 +++++++++++++++++-- 2 files changed, 41 insertions(+), 4 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index dc5066569b..c8475cfa61 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -144,7 +144,7 @@ async def _inner_get_streaming_response( **kwargs, ) except Exception as ex: - raise ServiceResponseException("Ollama streaming chat request failed.", ex) from ex + raise ServiceResponseException(f"Ollama streaming chat request failed : {ex}", ex) from ex async for part in response_object: yield self._ollama_streaming_response_to_agent_framework_message(part) diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index 2896daac53..34b413c7aa 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -16,7 +16,7 @@ TextContent, UriContent, ) -from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError +from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError, ServiceResponseException from ollama import AsyncClient from ollama._types import ChatResponse as OllamaChatResponse from ollama._types import Message as OllamaMessage @@ -26,8 +26,6 @@ # region Service Setup -os.environ["RUN_INTEGRATION_TESTS"] = "false" - skip_if_azure_integration_tests_disabled = pytest.mark.skipif( os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true" or os.getenv("OLLAMA_CHAT_MODEL_ID", "") in ("", "test-model"), @@ -217,6 +215,25 @@ async def test_cmc_reasoning( assert result.reasoning == "test" +@patch.object(AsyncClient, "chat", new_callable=AsyncMock) +async def test_cmc_chat_failure( + mock_chat: AsyncMock, + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], +) -> None: + # Simulate a failure in the Ollama client + mock_chat.side_effect = Exception("Connection error") + chat_history.append(ChatMessage(text="hello world", role="user")) + + ollama_client = OllamaChatClient() + + with pytest.raises(ServiceResponseException) as exc_info: + await ollama_client.get_response(messages=chat_history) + + assert "Ollama chat request failed" in str(exc_info.value) + assert "Connection error" in str(exc_info.value) + + @patch.object(AsyncClient, "chat", new_callable=AsyncMock) async def test_cmc_streaming( mock_chat: AsyncMock, @@ -251,6 +268,26 @@ async def test_cmc_streaming_reasoning( assert chunk.reasoning == "test" +@patch.object(AsyncClient, "chat", new_callable=AsyncMock) +async def test_cmc_streaming_chat_failure( + mock_chat: AsyncMock, + ollama_unit_test_env: dict[str, str], + chat_history: list[ChatMessage], +) -> None: + # Simulate a failure in the Ollama client for streaming + mock_chat.side_effect = Exception("Streaming connection error") + chat_history.append(ChatMessage(text="hello world", role="user")) + + ollama_client = OllamaChatClient() + + with pytest.raises(ServiceResponseException) as exc_info: + async for _ in ollama_client.get_streaming_response(messages=chat_history): + pass + + assert "Ollama streaming chat request failed" in str(exc_info.value) + assert "Streaming connection error" in str(exc_info.value) + + @patch.object(AsyncClient, "chat", new_callable=AsyncMock) async def test_cmc_streaming_with_tool_call( mock_chat: AsyncMock, From 9df622e5c6d94c93612cbe96ed220681180df1ae Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 3 Oct 2025 20:31:00 +0200 Subject: [PATCH 25/37] Update python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- .../getting_started/multimodal_input/ollama_chat_multimodal.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py b/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py index 390e10fda0..f91efa4bc1 100644 --- a/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py +++ b/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py @@ -13,7 +13,7 @@ This sample demonstrates implementing a Ollama agent with multimodal input capabilities. Ensure to install Ollama and have a model running locally before running the sample -Not all Models support function calling, to test multimodal input try gemma3:4b +Not all Models support multimodal input, to test multimodal input try gemma3:4b Set the model to use via the OLLAMA_CHAT_MODEL_ID environment variable or modify the code below. https://ollama.com/ From ce819ef08851f9317726df5b242599c71114364e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 3 Oct 2025 21:36:11 +0200 Subject: [PATCH 26/37] Integrated Copilot Feedback --- .../ollama/agent_framework_ollama/_chat_client.py | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index c8475cfa61..32303400ee 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -213,11 +213,7 @@ def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage] " TextReasoningContent, or FunctionCallContent." ) - assistant_message = OllamaMessage(role="assistant") - if isinstance(message, TextContent): - assistant_message.content = message.text - if isinstance(message, TextReasoningContent): - assistant_message.thinking = message.text + assistant_message = OllamaMessage(role="assistant", content=message.text, thinking=message.reasoning) tool_calls = [item for item in message.contents if isinstance(item, FunctionCallContent)] if tool_calls: @@ -278,9 +274,11 @@ def _ollama_response_to_agent_framework_message(self, response: OllamaChatRespon usage_details=UsageDetails( input_token_count=response.prompt_eval_count, output_token_count=response.eval_count, - total_token_count=response.prompt_eval_count + response.eval_count - if response.prompt_eval_count is not None and response.eval_count is not None - else None, + total_token_count=( + response.prompt_eval_count + response.eval_count + if response.prompt_eval_count is not None and response.eval_count is not None + else None + ), ), ) From 1eecd6de200362a8a4833baa5522e75f59b216b3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Tue, 14 Oct 2025 21:26:19 +0200 Subject: [PATCH 27/37] Implement first PR Feedback --- .../core/agent_framework/ollama/__init__.py | 3 +- python/packages/core/tests/core/test_types.py | 21 +++++++++ python/packages/ollama/README.md | 2 +- .../agent_framework_ollama/_chat_client.py | 46 +++++++------------ python/packages/ollama/pyproject.toml | 2 +- .../ollama/tests/test_ollama_chat_client.py | 26 +++++++++++ python/uv.lock | 2 +- 7 files changed, 68 insertions(+), 34 deletions(-) diff --git a/python/packages/core/agent_framework/ollama/__init__.py b/python/packages/core/agent_framework/ollama/__init__.py index 30c983bc46..99ad6442d9 100644 --- a/python/packages/core/agent_framework/ollama/__init__.py +++ b/python/packages/core/agent_framework/ollama/__init__.py @@ -18,8 +18,7 @@ def __getattr__(name: str) -> Any: return getattr(importlib.import_module(PACKAGE_NAME), name) except ModuleNotFoundError as exc: raise ModuleNotFoundError( - f"The '{PACKAGE_EXTRA}' extra is not installed, " - f"please do `pip install agent-framework[{PACKAGE_EXTRA}]`" + f"The '{PACKAGE_EXTRA}' extra is not installed, please do `pip install agent-framework-{PACKAGE_EXTRA}`" ) from exc raise AttributeError(f"Module {PACKAGE_NAME} has no attribute {name}.") diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py index 909e72a0a0..c106e8bf1a 100644 --- a/python/packages/core/tests/core/test_types.py +++ b/python/packages/core/tests/core/test_types.py @@ -498,6 +498,26 @@ def test_chat_message_contents(): assert message.text == "Hello, how are you? I'm fine, thank you!" +def test_chat_message_reasoning_contents(): + """Test the ChatMessage class to ensure it initializes correctly with contents.""" + # Create a ChatMessage with a role and multiple contents + content1 = TextReasoningContent("For this task, we need to consider the following...") + content2 = TextReasoningContent("And then we can proceed with the next steps.") + message = ChatMessage(role="user", contents=[content1, content2]) + + # Check the type and content + assert message.role == Role.USER + assert len(message.contents) == 2 + assert isinstance(message.contents[0], TextReasoningContent) + assert isinstance(message.contents[1], TextReasoningContent) + assert message.contents[0].text == "For this task, we need to consider the following..." + assert message.contents[1].text == "And then we can proceed with the next steps." + assert ( + message.reasoning + == "For this task, we need to consider the following... And then we can proceed with the next steps." + ) + + def test_chat_message_with_chatrole_instance(): m = ChatMessage(role=Role.USER, text="hi") assert m.role == Role.USER @@ -646,6 +666,7 @@ def test_chat_response_updates_to_chat_response_multiple(): # Check the type and content assert len(chat_response.messages) == 1 assert chat_response.text == "I'm doing well, thank you!" + assert chat_response.reasoning == "Additional context" assert isinstance(chat_response.messages[0], ChatMessage) assert len(chat_response.messages[0].contents) == 3 assert chat_response.messages[0].message_id == "1" diff --git a/python/packages/ollama/README.md b/python/packages/ollama/README.md index 69f5eea4cd..05a4fe6f69 100644 --- a/python/packages/ollama/README.md +++ b/python/packages/ollama/README.md @@ -3,7 +3,7 @@ Please install this package as the extra for `agent-framework`: ```bash -pip install agent-framework[ollama] +pip install agent-framework-ollama --pre ``` and see the [README](https://github.com/microsoft/agent-framework/tree/main/python/README.md) for more information. diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index 32303400ee..c5480f8295 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -58,6 +58,7 @@ class OllamaChatClient(BaseChatClient): def __init__( self, + *, host: str | None = None, client: AsyncClient | None = None, chat_model_id: str | None = None, @@ -67,8 +68,9 @@ def __init__( ) -> None: """Initialize an Ollama Chat client. - Args: - host: The Ollama server host URL. Can be set via the OLLAMA_HOST env variable. + Keyword Args: + host: Ollama server URL, if none `http://localhost:11434` is used. + Can be set via the OLLAMA_HOST env variable. client: An optional Ollama Client instance. If not provided, a new instance will be created. chat_model_id: The Ollama chat model ID to use. Can be set via the OLLAMA_CHAT_MODEL_ID env variable. env_file_path: An optional path to a dotenv (.env) file to load environment variables from. @@ -125,7 +127,7 @@ async def _inner_get_response( except Exception as ex: raise ServiceResponseException(f"Ollama chat request failed : {ex}", ex) from ex - return self._ollama_response_to_agent_framework_message(response) + return self._ollama_response_to_agent_framework_response(response) async def _inner_get_streaming_response( self, @@ -147,11 +149,11 @@ async def _inner_get_streaming_response( raise ServiceResponseException(f"Ollama streaming chat request failed : {ex}", ex) from ex async for part in response_object: - yield self._ollama_streaming_response_to_agent_framework_message(part) + yield self._ollama_streaming_response_to_agent_framework_response(part) def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions) -> dict[str, Any]: # Preprocess web search tool if it exists - options_dict = chat_options.to_provider_settings(exclude={"instructions"}) + options_dict = chat_options.to_dict(exclude={"instructions"}) # Prepare Messages from Agent Framework format to Ollama format if messages and "messages" not in options_dict: options_dict["messages"] = self._prepare_chat_history_for_request(messages) @@ -172,11 +174,11 @@ def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: return options_dict def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: - ollama_messages = [self._agent_framework_to_ollama_message(msg) for msg in messages] + ollama_messages = [self._agent_framework_message_to_ollama_message(msg) for msg in messages] # Flatten the list of lists into a single list return list(chain.from_iterable(ollama_messages)) - def _agent_framework_to_ollama_message(self, message: ChatMessage) -> list[OllamaMessage]: + def _agent_framework_message_to_ollama_message(self, message: ChatMessage) -> list[OllamaMessage]: MESSAGE_CONVERTERS: dict[str, Callable[[ChatMessage], list[OllamaMessage]]] = { Role.SYSTEM.value: self._format_system_message, Role.USER.value: self._format_user_message, @@ -207,12 +209,6 @@ def _format_user_message(self, message: ChatMessage) -> list[OllamaMessage]: return [user_message] def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage]: - if not any(isinstance(c, (FunctionCallContent, TextContent, TextReasoningContent)) for c in message.contents): - raise ServiceInvalidRequestError( - "Ollama connector currently only supports user messages with TextContent," - " TextReasoningContent, or FunctionCallContent." - ) - assistant_message = OllamaMessage(role="assistant", content=message.text, thinking=message.reasoning) tool_calls = [item for item in message.contents if isinstance(item, FunctionCallContent)] @@ -233,18 +229,13 @@ def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage] def _format_tool_message(self, message: ChatMessage) -> list[OllamaMessage]: # Ollama does not support multiple tool results in a single message, so we create a separate - function_result_items = [ + return [ OllamaMessage(role="tool", content=str(item.result), tool_name=item.call_id) for item in message.contents if isinstance(item, FunctionResultContent) ] - if not function_result_items: - raise ValueError("Tool message must have a function result content item.") - - return function_result_items - - def _ollama_to_agent_framework_content(self, response: OllamaChatResponse) -> list[Contents]: + def _ollama_response_to_agent_framework_content(self, response: OllamaChatResponse) -> list[Contents]: contents: list[Contents] = [] if response.message.thinking: contents.append(TextReasoningContent(text=response.message.thinking)) @@ -255,8 +246,10 @@ def _ollama_to_agent_framework_content(self, response: OllamaChatResponse) -> li contents.extend(tool_calls) return contents - def _ollama_streaming_response_to_agent_framework_message(self, response: OllamaChatResponse) -> ChatResponseUpdate: - contents = self._ollama_to_agent_framework_content(response) + def _ollama_streaming_response_to_agent_framework_response( + self, response: OllamaChatResponse + ) -> ChatResponseUpdate: + contents = self._ollama_response_to_agent_framework_content(response) return ChatResponseUpdate( contents=contents, role=Role.ASSISTANT, @@ -264,8 +257,8 @@ def _ollama_streaming_response_to_agent_framework_message(self, response: Ollama created_at=response.created_at, ) - def _ollama_response_to_agent_framework_message(self, response: OllamaChatResponse) -> ChatResponse: - contents = self._ollama_to_agent_framework_content(response) + def _ollama_response_to_agent_framework_response(self, response: OllamaChatResponse) -> ChatResponse: + contents = self._ollama_response_to_agent_framework_content(response) return ChatResponse( messages=[ChatMessage(role=Role.ASSISTANT, contents=contents)], @@ -274,11 +267,6 @@ def _ollama_response_to_agent_framework_message(self, response: OllamaChatRespon usage_details=UsageDetails( input_token_count=response.prompt_eval_count, output_token_count=response.eval_count, - total_token_count=( - response.prompt_eval_count + response.eval_count - if response.prompt_eval_count is not None and response.eval_count is not None - else None - ), ), ) diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml index 4b4d42a87e..43627bc9a1 100644 --- a/python/packages/ollama/pyproject.toml +++ b/python/packages/ollama/pyproject.toml @@ -12,7 +12,7 @@ urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=ta urls.issues = "https://github.com/microsoft/agent-framework/issues" classifiers = [ "License :: OSI Approved :: MIT License", - "Development Status :: 5 - Production/Stable", + "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index 34b413c7aa..8360bac14b 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -15,6 +15,7 @@ HostedWebSearchTool, TextContent, UriContent, + chat_middleware, ) from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError, ServiceResponseException from ollama import AsyncClient @@ -158,6 +159,29 @@ def test_serialize(ollama_unit_test_env: dict[str, str]) -> None: assert serialized["chat_model_id"] == ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] +def test_chat_middleware(ollama_unit_test_env: dict[str, str]) -> None: + @chat_middleware + async def sample_middleware(context, next): + await next(context) + + ollama_chat_client = OllamaChatClient(middleware=[sample_middleware]) + assert len(ollama_chat_client.middleware) == 1 + assert ollama_chat_client.middleware[0] == sample_middleware + + +def test_additional_properties(ollama_unit_test_env: dict[str, str]) -> None: + additional_properties = { + "user_location": { + "country": "US", + "city": "Seattle", + } + } + ollama_chat_client = OllamaChatClient( + additional_properties=additional_properties, + ) + assert ollama_chat_client.additional_properties == additional_properties + + # region CMC @@ -191,6 +215,7 @@ async def test_cmc( mock_chat_completion_response: AsyncStream[OllamaChatResponse], ) -> None: mock_chat.return_value = mock_chat_completion_response + chat_history.append(ChatMessage(text="hello world", role="system")) chat_history.append(ChatMessage(text="hello world", role="user")) ollama_client = OllamaChatClient() @@ -242,6 +267,7 @@ async def test_cmc_streaming( mock_streaming_chat_completion_response: AsyncStream[OllamaChatResponse], ) -> None: mock_chat.return_value = mock_streaming_chat_completion_response + chat_history.append(ChatMessage(text="hello world", role="system")) chat_history.append(ChatMessage(text="hello world", role="user")) ollama_client = OllamaChatClient() diff --git a/python/uv.lock b/python/uv.lock index d6cf2dd4c4..c168163991 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -131,7 +131,7 @@ dev = [ { name = "ruff", specifier = ">=0.11.8" }, { name = "tomli" }, { name = "tomli-w" }, - { name = "uv", specifier = ">=0.8.2,<0.9.0" }, + { name = "uv", specifier = ">=0.8.2,<0.10.0" }, ] docs = [ { name = "debugpy", specifier = ">=1.8.16" }, From 14614c7cda700a9983512c8c373da85b3f02928e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Tue, 14 Oct 2025 21:42:16 +0200 Subject: [PATCH 28/37] Adjust Readme files for examples --- .../getting_started/agents/ollama/README.md | 31 ++++++++++++++----- .../getting_started/chat_client/README.md | 7 +++++ 2 files changed, 31 insertions(+), 7 deletions(-) diff --git a/python/samples/getting_started/agents/ollama/README.md b/python/samples/getting_started/agents/ollama/README.md index e8c98f2147..9281facba2 100644 --- a/python/samples/getting_started/agents/ollama/README.md +++ b/python/samples/getting_started/agents/ollama/README.md @@ -6,25 +6,42 @@ This folder contains examples demonstrating how to use Ollama models with the Ag 1. **Install Ollama**: Download and install Ollama from [ollama.com](https://ollama.com/) 2. **Start Ollama**: Ensure Ollama is running on your local machine -3. **Pull a model**: Run `ollama pull mistral` (or any other model you prefer that supports function calling) +3. **Pull a model**: Run `ollama pull mistral` (or any other model you prefer) + - For function calling examples, use models that support tool calling like `mistral` or `qwen2.5` + - For reasoning examples, use models that support reasoning like `qwen2.5:8b` + +> **Note**: Not all models support all features. Function calling and reasoning capabilities depend on the specific model you're using. ## Examples | File | Description | |------|-------------| -| [`ollama_with_openai_chat_client.py`](ollama_with_openai_chat_client.py) | Demonstrates how to configure OpenAI Chat Client to use local Ollama models. Shows both streaming and non-streaming responses with tool calling capabilities. | +| [`ollama_agent_basic.py`](ollama_agent_basic.py) | Demonstrates basic Ollama agent usage with the native Ollama Chat Client. Shows both streaming and non-streaming responses with tool calling capabilities. | +| [`ollama_agent_reasoning.py`](ollama_agent_reasoning.py) | Demonstrates Ollama agent with reasoning capabilities using the native Ollama Chat Client. Shows how to enable thinking/reasoning mode. | +| [`ollama_with_openai_chat_client.py`](ollama_with_openai_chat_client.py) | Demonstrates how to configure OpenAI Chat Client to use local Ollama models by pointing to the Ollama server endpoint. | ## Configuration -The examples use environment variables for configuration: +The examples use environment variables for configuration. Set the appropriate variables based on which example you're running: + +### For Native Ollama Examples (`ollama_agent_basic.py`, `ollama_agent_reasoning.py`) -### Environment Variables +Set the following environment variables: -Set the following environment variables before running the examples: +- `OLLAMA_HOST`: The base URL for your Ollama server (optional, defaults to `http://localhost:11434`) + - Example: `export OLLAMA_HOST="http://localhost:11434"` + +- `OLLAMA_CHAT_MODEL_ID`: The model name to use + - Example: `export OLLAMA_CHAT_MODEL_ID="qwen2.5:8b"` + - Must be a model you have pulled with Ollama -- `OLLAMA_ENDPOINT`: The base URL for your Ollama server +### For OpenAI Client with Ollama (`ollama_with_openai_chat_client.py`) + +Set the following environment variables: + +- `OLLAMA_ENDPOINT`: The base URL for your Ollama server with `/v1/` suffix - Example: `export OLLAMA_ENDPOINT="http://localhost:11434/v1/"` - `OLLAMA_MODEL`: The model name to use - Example: `export OLLAMA_MODEL="mistral"` - - Must be a model you have pulled with Ollama + - Must be a model you have pulled with Ollama \ No newline at end of file diff --git a/python/samples/getting_started/chat_client/README.md b/python/samples/getting_started/chat_client/README.md index a0951c3864..c52fce5fa8 100644 --- a/python/samples/getting_started/chat_client/README.md +++ b/python/samples/getting_started/chat_client/README.md @@ -14,6 +14,7 @@ This folder contains simple examples demonstrating direct usage of various chat | [`openai_assistants_client.py`](openai_assistants_client.py) | Direct usage of OpenAI Assistants Client for basic chat interactions with OpenAI assistants. | | [`openai_chat_client.py`](openai_chat_client.py) | Direct usage of OpenAI Chat Client for chat interactions with OpenAI models. | | [`openai_responses_client.py`](openai_responses_client.py) | Direct usage of OpenAI Responses Client for structured response generation with OpenAI models. | +| [`ollama_chat_client.py`](ollama_chat_client.py) | Direct usage of Ollama Chat Client for chat interactions with locally hosted Ollama models. | ## Environment Variables @@ -32,3 +33,9 @@ Depending on which client you're using, set the appropriate environment variable - `OPENAI_API_KEY`: Your OpenAI API key - `OPENAI_CHAT_MODEL_ID`: The OpenAI model to use for chat clients (e.g., `gpt-4o`, `gpt-4o-mini`, `gpt-3.5-turbo`) - `OPENAI_RESPONSES_MODEL_ID`: The OpenAI model to use for responses clients (e.g., `gpt-4o`, `gpt-4o-mini`, `gpt-3.5-turbo`) + +**For Ollama client:** +- `OLLAMA_HOST`: Your Ollama server URL (defaults to `http://localhost:11434` if not set) +- `OLLAMA_CHAT_MODEL_ID`: The Ollama model to use for chat (e.g., `llama3.2`, `llama2`, `codellama`) + +> **Note**: For Ollama, ensure you have Ollama installed and running locally with at least one model downloaded. Visit [https://ollama.com/](https://ollama.com/) for installation instructions. \ No newline at end of file From e74dd4e004adf99fab268055eca7c53981512c02 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Wed, 15 Oct 2025 16:52:05 +0200 Subject: [PATCH 29/37] Adjust argument passing via additional chat options --- .../packages/ollama/agent_framework_ollama/_chat_client.py | 7 ++++++- .../agents/ollama/ollama_agent_reasoning.py | 2 +- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index c5480f8295..34219c5d01 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -153,7 +153,12 @@ async def _inner_get_streaming_response( def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions) -> dict[str, Any]: # Preprocess web search tool if it exists - options_dict = chat_options.to_dict(exclude={"instructions"}) + options_dict = chat_options.to_dict(exclude={"instructions", "type"}) + + # Promote additional_properties to the top level of options_dict + additional_props = options_dict.pop("additional_properties", {}) + options_dict.update(additional_props) + # Prepare Messages from Agent Framework format to Ollama format if messages and "messages" not in options_dict: options_dict["messages"] = self._prepare_chat_history_for_request(messages) diff --git a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py index be7e223e16..1311ccc38b 100644 --- a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py +++ b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py @@ -23,7 +23,7 @@ async def reasoning_example() -> None: agent = OllamaChatClient().create_agent( name="TimeAgent", instructions="You are a helpful agent answer in one sentence.", - request_kwargs={"think": True}, # Enable Reasoning on agent level + additional_chat_options={"think": True}, # Enable Reasoning on agent level ) query = "Hey what is 3+4? Can you explain how you got to that answer?" print(f"User: {query}") From 87155b4c2fcd0226f5ffb1175e824f6604eacff9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Sat, 22 Nov 2025 17:38:09 +0100 Subject: [PATCH 30/37] Implemented PR Feedback --- .../packages/core/agent_framework/_types.py | 29 ------------- python/packages/core/tests/core/test_types.py | 21 --------- .../agent_framework_ollama/_chat_client.py | 43 +++++++++---------- python/packages/ollama/pyproject.toml | 2 +- python/packages/ollama/tests/conftest.py | 2 +- .../ollama/tests/test_ollama_chat_client.py | 29 +++++++------ .../ollama/tests/test_ollama_cross_package.py | 28 ------------ .../agents/ollama/ollama_agent_reasoning.py | 4 +- python/uv.lock | 6 +-- 9 files changed, 44 insertions(+), 120 deletions(-) delete mode 100644 python/packages/ollama/tests/test_ollama_cross_package.py diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py index 4a30492526..17116f3749 100644 --- a/python/packages/core/agent_framework/_types.py +++ b/python/packages/core/agent_framework/_types.py @@ -2122,15 +2122,6 @@ def text(self) -> str: """ return " ".join(content.text for content in self.contents if isinstance(content, TextContent)) - @property - def reasoning(self) -> str: - """Returns the reasoning content of the message. - - Remarks: - This property concatenates the text of all TextReasoningContent objects in Contents. - """ - return " ".join(content.text for content in self.contents if isinstance(content, TextReasoningContent)) - def prepare_messages(messages: str | ChatMessage | list[str] | list[ChatMessage]) -> list[ChatMessage]: """Convert various message input formats into a list of ChatMessage objects. @@ -2541,11 +2532,6 @@ def text(self) -> str: """Returns the concatenated text of all messages in the response.""" return ("\n".join(message.text for message in self.messages if isinstance(message, ChatMessage))).strip() - @property - def reasoning(self) -> str: - """Returns the concatenated reasoning of all messages in the response.""" - return ("\n".join(message.reasoning for message in self.messages if isinstance(message, ChatMessage))).strip() - def __str__(self) -> str: return self.text @@ -2681,11 +2667,6 @@ def text(self) -> str: """Returns the concatenated text of all contents in the update.""" return "".join(content.text for content in self.contents if isinstance(content, TextContent)) - @property - def reasoning(self) -> str: - """Returns the reasoning content of the message.""" - return " ".join(content.text for content in self.contents if isinstance(content, TextReasoningContent)) - def __str__(self) -> str: return self.text @@ -2795,11 +2776,6 @@ def text(self) -> str: """Get the concatenated text of all messages.""" return "".join(msg.text for msg in self.messages) if self.messages else "" - @property - def reasoning(self) -> str: - """Get the concatenated reasoning of all messages.""" - return " ".join(msg.reasoning for msg in self.messages) if self.messages else "" - @property def user_input_requests(self) -> list[UserInputRequestContents]: """Get all BaseUserInputRequest messages from the response.""" @@ -2966,11 +2942,6 @@ def text(self) -> str: else "" ) - @property - def reasoning(self) -> str: - """Get the concatenated text of all TextReasoningContent objects in contents.""" - return " ".join(content.text for content in self.contents if isinstance(content, TextReasoningContent)) - @property def user_input_requests(self) -> list[UserInputRequestContents]: """Get all BaseUserInputRequest messages from the response.""" diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py index e3eab76122..38a3fe414e 100644 --- a/python/packages/core/tests/core/test_types.py +++ b/python/packages/core/tests/core/test_types.py @@ -550,26 +550,6 @@ def test_chat_message_contents(): assert message.text == "Hello, how are you? I'm fine, thank you!" -def test_chat_message_reasoning_contents(): - """Test the ChatMessage class to ensure it initializes correctly with contents.""" - # Create a ChatMessage with a role and multiple contents - content1 = TextReasoningContent("For this task, we need to consider the following...") - content2 = TextReasoningContent("And then we can proceed with the next steps.") - message = ChatMessage(role="user", contents=[content1, content2]) - - # Check the type and content - assert message.role == Role.USER - assert len(message.contents) == 2 - assert isinstance(message.contents[0], TextReasoningContent) - assert isinstance(message.contents[1], TextReasoningContent) - assert message.contents[0].text == "For this task, we need to consider the following..." - assert message.contents[1].text == "And then we can proceed with the next steps." - assert ( - message.reasoning - == "For this task, we need to consider the following... And then we can proceed with the next steps." - ) - - def test_chat_message_with_chatrole_instance(): m = ChatMessage(role=Role.USER, text="hi") assert m.role == Role.USER @@ -718,7 +698,6 @@ def test_chat_response_updates_to_chat_response_multiple(): # Check the type and content assert len(chat_response.messages) == 1 assert chat_response.text == "I'm doing well, thank you!" - assert chat_response.reasoning == "Additional context" assert isinstance(chat_response.messages[0], ChatMessage) assert len(chat_response.messages[0].contents) == 3 assert chat_response.messages[0].message_id == "1" diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index 34219c5d01..686ecef270 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -42,7 +42,7 @@ class OllamaSettings(AFBaseSettings): env_prefix: ClassVar[str] = "OLLAMA_" host: str | None = None - chat_model_id: str | None = None + model_id: str | None = None logger = get_logger("agent_framework.ollama") @@ -61,7 +61,7 @@ def __init__( *, host: str | None = None, client: AsyncClient | None = None, - chat_model_id: str | None = None, + model_id: str | None = None, env_file_path: str | None = None, env_file_encoding: str | None = None, **kwargs: Any, @@ -72,41 +72,29 @@ def __init__( host: Ollama server URL, if none `http://localhost:11434` is used. Can be set via the OLLAMA_HOST env variable. client: An optional Ollama Client instance. If not provided, a new instance will be created. - chat_model_id: The Ollama chat model ID to use. Can be set via the OLLAMA_CHAT_MODEL_ID env variable. + model_id: The Ollama chat model ID to use. Can be set via the OLLAMA_MODEL_ID env variable. env_file_path: An optional path to a dotenv (.env) file to load environment variables from. env_file_encoding: The encoding to use when reading the dotenv (.env) file. Defaults to 'utf-8'. **kwargs: Additional keyword arguments passed to BaseChatClient. """ try: ollama_settings = OllamaSettings( - host=host, chat_model_id=chat_model_id, env_file_encoding=env_file_encoding, env_file_path=env_file_path + host=host, model_id=model_id, env_file_encoding=env_file_encoding, env_file_path=env_file_path ) except ValidationError as ex: raise ServiceInitializationError("Failed to create Ollama settings.", ex) from ex - if ollama_settings.chat_model_id is None: + if ollama_settings.model_id is None: raise ServiceInitializationError( - "Ollama chat model ID must be provided via chat_model_id or OLLAMA_CHAT_MODEL_ID environment variable." + "Ollama chat model ID must be provided via model_id or OLLAMA_MODEL_ID environment variable." ) - self.chat_model_id = ollama_settings.chat_model_id + self.model_id = ollama_settings.model_id self.client = client or AsyncClient(host=ollama_settings.host) # Save Host URL for serialization with to_dict() self.host = str(self.client._client.base_url) - # Call super().__init__() to continue MRO chain (e.g., BaseChatClient) - # Extract known kwargs that belong to other base classes - additional_properties = kwargs.pop("additional_properties", None) - middleware = kwargs.pop("middleware", None) - - # Build super().__init__() args - super_kwargs = {} - if additional_properties is not None: - super_kwargs["additional_properties"] = additional_properties - if middleware is not None: - super_kwargs["middleware"] = middleware - - super().__init__(**super_kwargs) + super().__init__(**kwargs) async def _inner_get_response( self, @@ -119,7 +107,6 @@ async def _inner_get_response( try: response: OllamaChatResponse = await self.client.chat( # type: ignore[misc] - model=self.chat_model_id, stream=False, **options_dict, **kwargs, @@ -140,7 +127,6 @@ async def _inner_get_streaming_response( try: response_object: AsyncIterable[OllamaChatResponse] = await self.client.chat( # type: ignore[misc] - model=self.chat_model_id, stream=True, **options_dict, **kwargs, @@ -176,6 +162,13 @@ def _prepare_options(self, messages: MutableSequence[ChatMessage], chat_options: if "tool_choice" in options_dict: del options_dict["tool_choice"] + # Rename model_id to model for Ollama API, if no model is provided use the one from client initialization + if "model_id" in options_dict: + options_dict["model"] = options_dict.pop("model_id") + + if "model_id" not in options_dict: + options_dict["model"] = self.model_id + return options_dict def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessage]) -> list[OllamaMessage]: @@ -214,7 +207,11 @@ def _format_user_message(self, message: ChatMessage) -> list[OllamaMessage]: return [user_message] def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage]: - assistant_message = OllamaMessage(role="assistant", content=message.text, thinking=message.reasoning) + + text_content = message.text + reasoning_contents = "".join(c.text for c in message.contents if isinstance(c, TextReasoningContent)) + + assistant_message = OllamaMessage(role="assistant", content=text_content, thinking=reasoning_contents) tool_calls = [item for item in message.contents if isinstance(item, FunctionCallContent)] if tool_calls: diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml index 43627bc9a1..705b6222ea 100644 --- a/python/packages/ollama/pyproject.toml +++ b/python/packages/ollama/pyproject.toml @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework", + "agent-framework-core", "ollama >= 0.5.3", ] diff --git a/python/packages/ollama/tests/conftest.py b/python/packages/ollama/tests/conftest.py index ba1ab50203..dd2529c98c 100644 --- a/python/packages/ollama/tests/conftest.py +++ b/python/packages/ollama/tests/conftest.py @@ -29,7 +29,7 @@ def ollama_unit_test_env(monkeypatch, exclude_list, override_env_param_dict): # if override_env_param_dict is None: override_env_param_dict = {} - env_vars = {"OLLAMA_HOST": "http://localhost:12345", "OLLAMA_CHAT_MODEL_ID": "test"} + env_vars = {"OLLAMA_HOST": "http://localhost:12345", "OLLAMA_MODEL_ID": "test"} env_vars.update(override_env_param_dict) # type: ignore diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index 8360bac14b..49e769ae8b 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -14,6 +14,7 @@ FunctionResultContent, HostedWebSearchTool, TextContent, + TextReasoningContent, UriContent, chat_middleware, ) @@ -29,7 +30,7 @@ skip_if_azure_integration_tests_disabled = pytest.mark.skipif( os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true" - or os.getenv("OLLAMA_CHAT_MODEL_ID", "") in ("", "test-model"), + or os.getenv("OLLAMA_MODEL_ID", "") in ("", "test-model"), reason="No real Ollama chat model provided; skipping integration tests." if os.getenv("RUN_INTEGRATION_TESTS", "false").lower() == "true" else "Integration tests are disabled.", @@ -118,7 +119,7 @@ def test_init(ollama_unit_test_env: dict[str, str]) -> None: assert ollama_chat_client.client is not None assert isinstance(ollama_chat_client.client, AsyncClient) - assert ollama_chat_client.chat_model_id == ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] + assert ollama_chat_client.model_id == ollama_unit_test_env["OLLAMA_MODEL_ID"] assert isinstance(ollama_chat_client, BaseChatClient) @@ -127,20 +128,20 @@ def test_init_client(ollama_unit_test_env: dict[str, str]) -> None: test_client = MagicMock(spec=AsyncClient) # Mock underlying HTTP client's base_url test_client._client = MagicMock() - test_client._client.base_url = ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] + test_client._client.base_url = ollama_unit_test_env["OLLAMA_MODEL_ID"] ollama_chat_client = OllamaChatClient(client=test_client) assert ollama_chat_client.client is test_client - assert ollama_chat_client.chat_model_id == ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] + assert ollama_chat_client.model_id == ollama_unit_test_env["OLLAMA_MODEL_ID"] assert isinstance(ollama_chat_client, BaseChatClient) -@pytest.mark.parametrize("exclude_list", [["OLLAMA_CHAT_MODEL_ID"]], indirect=True) +@pytest.mark.parametrize("exclude_list", [["OLLAMA_MODEL_ID"]], indirect=True) def test_with_invalid_settings(ollama_unit_test_env: dict[str, str]) -> None: with pytest.raises(ServiceInitializationError): OllamaChatClient( host="http://localhost:12345", - chat_model_id=None, + model_id=None, env_file_path="test.env", ) @@ -148,7 +149,7 @@ def test_with_invalid_settings(ollama_unit_test_env: dict[str, str]) -> None: def test_serialize(ollama_unit_test_env: dict[str, str]) -> None: settings = { "host": ollama_unit_test_env["OLLAMA_HOST"], - "chat_model_id": ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"], + "model_id": ollama_unit_test_env["OLLAMA_MODEL_ID"], } ollama_chat_client = OllamaChatClient.from_dict(settings) @@ -156,7 +157,7 @@ def test_serialize(ollama_unit_test_env: dict[str, str]) -> None: assert isinstance(serialized, dict) assert serialized["host"] == ollama_unit_test_env["OLLAMA_HOST"] - assert serialized["chat_model_id"] == ollama_unit_test_env["OLLAMA_CHAT_MODEL_ID"] + assert serialized["model_id"] == ollama_unit_test_env["OLLAMA_MODEL_ID"] def test_chat_middleware(ollama_unit_test_env: dict[str, str]) -> None: @@ -188,7 +189,7 @@ def test_additional_properties(ollama_unit_test_env: dict[str, str]) -> None: async def test_empty_messages() -> None: ollama_chat_client = OllamaChatClient( host="http://localhost:12345", - chat_model_id="test-model", + model_id="test-model", ) with pytest.raises(ServiceInvalidRequestError): await ollama_chat_client.get_response(messages=[]) @@ -197,7 +198,7 @@ async def test_empty_messages() -> None: async def test_function_choice_required_argument() -> None: ollama_chat_client = OllamaChatClient( host="http://localhost:12345", - chat_model_id="test-model", + model_id="test-model", ) with pytest.raises(ServiceInvalidRequestError): await ollama_chat_client.get_response( @@ -237,7 +238,8 @@ async def test_cmc_reasoning( ollama_client = OllamaChatClient() result = await ollama_client.get_response(messages=chat_history) - assert result.reasoning == "test" + reasoning = "".join(c.text for c in result.messages.pop().contents if isinstance(c, TextReasoningContent)) + assert reasoning == "test" @patch.object(AsyncClient, "chat", new_callable=AsyncMock) @@ -291,7 +293,8 @@ async def test_cmc_streaming_reasoning( result = ollama_client.get_streaming_response(messages=chat_history) async for chunk in result: - assert chunk.reasoning == "test" + reasoning = "".join(c.text for c in chunk.contents if isinstance(c, TextReasoningContent)) + assert reasoning == "test" @patch.object(AsyncClient, "chat", new_callable=AsyncMock) @@ -447,7 +450,7 @@ async def test_cmc_integration_with_chat_completion( ollama_client = OllamaChatClient() result = await ollama_client.get_response(messages=chat_history) - assert "hello" in result.text.lower() and "world" in result.text.lower() + assert "hello" in result.text.lower() @skip_if_azure_integration_tests_disabled diff --git a/python/packages/ollama/tests/test_ollama_cross_package.py b/python/packages/ollama/tests/test_ollama_cross_package.py deleted file mode 100644 index ef541ce1da..0000000000 --- a/python/packages/ollama/tests/test_ollama_cross_package.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - - -def test_self_through_main(): - try: - from agent_framework.ollama import __version__ - except ImportError: - __version__ = None - - assert __version__ is not None - - -def test_self(): - try: - from agent_framework_ollama import __version__ - except ImportError: - __version__ = None - - assert __version__ is not None - - -def test_agent_framework(): - try: - from agent_framework import __version__ - except ImportError: - __version__ = None - - assert __version__ is not None diff --git a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py index 1311ccc38b..e123ca04b5 100644 --- a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py +++ b/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py @@ -2,6 +2,7 @@ import asyncio +from agent_framework import TextReasoningContent from agent_framework.ollama import OllamaChatClient """ @@ -29,7 +30,8 @@ async def reasoning_example() -> None: print(f"User: {query}") # Enable Reasoning on per request level result = await agent.run(query) - print(f"Reasoning: {result.reasoning}") + reasoning = "".join(c.text for c in result.messages[-1].contents if isinstance(c, TextReasoningContent)) + print(f"Reasoning: {reasoning}") print(f"Answer: {result}\n") diff --git a/python/uv.lock b/python/uv.lock index 2ec34275ae..53a260ceba 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -535,13 +535,13 @@ name = "agent-framework-ollama" version = "0.1.0b1" source = { editable = "packages/ollama" } dependencies = [ - { name = "agent-framework", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "ollama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] [package.metadata] requires-dist = [ - { name = "agent-framework", virtual = "." }, + { name = "agent-framework-core", editable = "packages/core" }, { name = "ollama", specifier = ">=0.5.3" }, ] @@ -1815,7 +1815,7 @@ name = "exceptiongroup" version = "1.3.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "typing-extensions", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "typing-extensions", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" } wheels = [ From 760dba2b53a9bc0dcff436c683aedcfae206f1de Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 11 Dec 2025 12:55:11 +0100 Subject: [PATCH 31/37] Removing Ollama Package from Core and moving samples --- .../core/agent_framework/ollama/__init__.py | 27 -------------- .../core/agent_framework/ollama/__init__.pyi | 13 ------- python/packages/ollama/README.md | 4 +++ .../agent_framework_ollama/_chat_client.py | 25 +++++++++---- .../packages/ollama/getting_started/README.md | 35 +++++++++++++++++++ .../getting_started}/ollama_agent_basic.py | 2 +- .../ollama_agent_reasoning.py | 3 +- python/packages/ollama/pyproject.toml | 5 ++- .../ollama/tests/test_ollama_chat_client.py | 29 +++++++++++---- .../getting_started/agents/ollama/README.md | 12 ------- 10 files changed, 88 insertions(+), 67 deletions(-) delete mode 100644 python/packages/core/agent_framework/ollama/__init__.py delete mode 100644 python/packages/core/agent_framework/ollama/__init__.pyi create mode 100644 python/packages/ollama/getting_started/README.md rename python/{samples/getting_started/agents/ollama => packages/ollama/getting_started}/ollama_agent_basic.py (97%) rename python/{samples/getting_started/agents/ollama => packages/ollama/getting_started}/ollama_agent_reasoning.py (96%) diff --git a/python/packages/core/agent_framework/ollama/__init__.py b/python/packages/core/agent_framework/ollama/__init__.py deleted file mode 100644 index 99ad6442d9..0000000000 --- a/python/packages/core/agent_framework/ollama/__init__.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -import importlib -from typing import Any - -PACKAGE_NAME = "agent_framework_ollama" -PACKAGE_EXTRA = "ollama" -_IMPORTS = [ - "OllamaChatClient", - "OllamaSettings", - "__version__", -] - - -def __getattr__(name: str) -> Any: - if name in _IMPORTS: - try: - return getattr(importlib.import_module(PACKAGE_NAME), name) - except ModuleNotFoundError as exc: - raise ModuleNotFoundError( - f"The '{PACKAGE_EXTRA}' extra is not installed, please do `pip install agent-framework-{PACKAGE_EXTRA}`" - ) from exc - raise AttributeError(f"Module {PACKAGE_NAME} has no attribute {name}.") - - -def __dir__() -> list[str]: - return _IMPORTS diff --git a/python/packages/core/agent_framework/ollama/__init__.pyi b/python/packages/core/agent_framework/ollama/__init__.pyi deleted file mode 100644 index 3a1e7824d6..0000000000 --- a/python/packages/core/agent_framework/ollama/__init__.pyi +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -from agent_framework_ollama import ( - OllamaChatClient, - OllamaSettings, - __version__, -) - -__all__ = [ - "OllamaChatClient", - "OllamaSettings", - "__version__", -] diff --git a/python/packages/ollama/README.md b/python/packages/ollama/README.md index 05a4fe6f69..e0c33e626d 100644 --- a/python/packages/ollama/README.md +++ b/python/packages/ollama/README.md @@ -7,3 +7,7 @@ pip install agent-framework-ollama --pre ``` and see the [README](https://github.com/microsoft/agent-framework/tree/main/python/README.md) for more information. + +# Run samples with the Ollama Conector + +You can find samples how to run the connector under the [Getting_started] (https://github.com/microsoft/agent-framework/tree/main/python/packages/ollama/getting_started/README.md) folder diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index 686ecef270..a25025d6fa 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -1,7 +1,14 @@ # Copyright (c) Microsoft. All rights reserved. import json -from collections.abc import AsyncIterable, Callable, Mapping, MutableMapping, MutableSequence, Sequence +from collections.abc import ( + AsyncIterable, + Callable, + Mapping, + MutableMapping, + MutableSequence, + Sequence, +) from itertools import chain from typing import Any, ClassVar @@ -26,7 +33,11 @@ use_function_invocation, ) from agent_framework._pydantic import AFBaseSettings -from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError, ServiceResponseException +from agent_framework.exceptions import ( + ServiceInitializationError, + ServiceInvalidRequestError, + ServiceResponseException, +) from agent_framework.observability import use_observability from ollama import AsyncClient @@ -79,7 +90,10 @@ def __init__( """ try: ollama_settings = OllamaSettings( - host=host, model_id=model_id, env_file_encoding=env_file_encoding, env_file_path=env_file_path + host=host, + model_id=model_id, + env_file_encoding=env_file_encoding, + env_file_path=env_file_path, ) except ValidationError as ex: raise ServiceInitializationError("Failed to create Ollama settings.", ex) from ex @@ -177,13 +191,13 @@ def _prepare_chat_history_for_request(self, messages: MutableSequence[ChatMessag return list(chain.from_iterable(ollama_messages)) def _agent_framework_message_to_ollama_message(self, message: ChatMessage) -> list[OllamaMessage]: - MESSAGE_CONVERTERS: dict[str, Callable[[ChatMessage], list[OllamaMessage]]] = { + message_converters: dict[str, Callable[[ChatMessage], list[OllamaMessage]]] = { Role.SYSTEM.value: self._format_system_message, Role.USER.value: self._format_user_message, Role.ASSISTANT.value: self._format_assistant_message, Role.TOOL.value: self._format_tool_message, } - return MESSAGE_CONVERTERS[message.role.value](message) + return message_converters[message.role.value](message) def _format_system_message(self, message: ChatMessage) -> list[OllamaMessage]: return [OllamaMessage(role="system", content=message.text)] @@ -207,7 +221,6 @@ def _format_user_message(self, message: ChatMessage) -> list[OllamaMessage]: return [user_message] def _format_assistant_message(self, message: ChatMessage) -> list[OllamaMessage]: - text_content = message.text reasoning_contents = "".join(c.text for c in message.contents if isinstance(c, TextReasoningContent)) diff --git a/python/packages/ollama/getting_started/README.md b/python/packages/ollama/getting_started/README.md new file mode 100644 index 0000000000..aa8e1e6860 --- /dev/null +++ b/python/packages/ollama/getting_started/README.md @@ -0,0 +1,35 @@ +# Ollama Examples + +This folder contains examples demonstrating how to use Ollama models with the Agent Framework. + +## Prerequisites + +1. **Install Ollama**: Download and install Ollama from [ollama.com](https://ollama.com/) +2. **Start Ollama**: Ensure Ollama is running on your local machine +3. **Pull a model**: Run `ollama pull mistral` (or any other model you prefer) + - For function calling examples, use models that support tool calling like `mistral` or `qwen2.5` + - For reasoning examples, use models that support reasoning like `qwen2.5:8b` + +> **Note**: Not all models support all features. Function calling and reasoning capabilities depend on the specific model you're using. + +## Examples + +| File | Description | +|------|-------------| +| [`ollama_agent_basic.py`](ollama_agent_basic.py) | Demonstrates basic Ollama agent usage with the native Ollama Chat Client. Shows both streaming and non-streaming responses with tool calling capabilities. | +| [`ollama_agent_reasoning.py`](ollama_agent_reasoning.py) | Demonstrates Ollama agent with reasoning capabilities using the native Ollama Chat Client. Shows how to enable thinking/reasoning mode. | + +## Configuration + +The examples use environment variables for configuration. Set the appropriate variables based on which example you're running: + +### For Native Ollama Examples (`ollama_agent_basic.py`, `ollama_agent_reasoning.py`) + +Set the following environment variables: + +- `OLLAMA_HOST`: The base URL for your Ollama server (optional, defaults to `http://localhost:11434`) + - Example: `export OLLAMA_HOST="http://localhost:11434"` + +- `OLLAMA_CHAT_MODEL_ID`: The model name to use + - Example: `export OLLAMA_CHAT_MODEL_ID="qwen2.5:8b"` + - Must be a model you have pulled with Ollama \ No newline at end of file diff --git a/python/samples/getting_started/agents/ollama/ollama_agent_basic.py b/python/packages/ollama/getting_started/ollama_agent_basic.py similarity index 97% rename from python/samples/getting_started/agents/ollama/ollama_agent_basic.py rename to python/packages/ollama/getting_started/ollama_agent_basic.py index 4d2a69b56b..3769410332 100644 --- a/python/samples/getting_started/agents/ollama/ollama_agent_basic.py +++ b/python/packages/ollama/getting_started/ollama_agent_basic.py @@ -3,7 +3,7 @@ import asyncio from datetime import datetime -from agent_framework.ollama import OllamaChatClient +from agent_framework_ollama import OllamaChatClient """ Ollama Agent Basic Example diff --git a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py b/python/packages/ollama/getting_started/ollama_agent_reasoning.py similarity index 96% rename from python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py rename to python/packages/ollama/getting_started/ollama_agent_reasoning.py index e123ca04b5..a76492b42b 100644 --- a/python/samples/getting_started/agents/ollama/ollama_agent_reasoning.py +++ b/python/packages/ollama/getting_started/ollama_agent_reasoning.py @@ -3,7 +3,8 @@ import asyncio from agent_framework import TextReasoningContent -from agent_framework.ollama import OllamaChatClient + +from agent_framework_ollama import OllamaChatClient """ Ollama Agent Reasoning Example diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml index 705b6222ea..fefdc1c59e 100644 --- a/python/packages/ollama/pyproject.toml +++ b/python/packages/ollama/pyproject.toml @@ -46,7 +46,10 @@ filterwarnings = [] timeout = 120 [tool.ruff] -extend = "../../pyproject.toml" +line-length = 120 + +[tool.ruff.lint] +select = ["E", "F", "I", "N", "W"] [tool.coverage.run] omit = [ diff --git a/python/packages/ollama/tests/test_ollama_chat_client.py b/python/packages/ollama/tests/test_ollama_chat_client.py index 49e769ae8b..fbb88695c1 100644 --- a/python/packages/ollama/tests/test_ollama_chat_client.py +++ b/python/packages/ollama/tests/test_ollama_chat_client.py @@ -18,7 +18,11 @@ UriContent, chat_middleware, ) -from agent_framework.exceptions import ServiceInitializationError, ServiceInvalidRequestError, ServiceResponseException +from agent_framework.exceptions import ( + ServiceInitializationError, + ServiceInvalidRequestError, + ServiceResponseException, +) from ollama import AsyncClient from ollama._types import ChatResponse as OllamaChatResponse from ollama._types import Message as OllamaMessage @@ -325,7 +329,10 @@ async def test_cmc_streaming_with_tool_call( 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] + mock_chat.side_effect = [ + mock_streaming_chat_completion_tool_call, + mock_streaming_chat_completion_response, + ] chat_history.append(ChatMessage(text="hello world", role="user")) @@ -365,7 +372,8 @@ async def test_cmc_with_hosted_tool_call( ollama_client = OllamaChatClient() await ollama_client.get_response( - messages=chat_history, tools=[HostedWebSearchTool(additional_properties=additional_properties)] + messages=chat_history, + tools=[HostedWebSearchTool(additional_properties=additional_properties)], ) @@ -378,7 +386,10 @@ async def test_cmc_with_data_content_type( ) -> None: mock_chat.return_value = mock_chat_completion_response chat_history.append( - ChatMessage(contents=[DataContent(uri="data:image/png;base64,xyz", media_type="image/png")], role="user") + ChatMessage( + contents=[DataContent(uri="data:image/png;base64,xyz", media_type="image/png")], + role="user", + ) ) ollama_client = OllamaChatClient() @@ -398,7 +409,10 @@ async def test_cmc_with_invalid_data_content_media_type( mock_chat.return_value = mock_streaming_chat_completion_response # Remote Uris are not supported by Ollama client chat_history.append( - ChatMessage(contents=[DataContent(uri="data:audio/mp3;base64,xyz", media_type="audio/mp3")], role="user") + ChatMessage( + contents=[DataContent(uri="data:audio/mp3;base64,xyz", media_type="audio/mp3")], + role="user", + ) ) ollama_client = OllamaChatClient() @@ -418,7 +432,10 @@ async def test_cmc_with_invalid_content_type( mock_chat.return_value = mock_chat_completion_response # Remote Uris are not supported by Ollama client chat_history.append( - ChatMessage(contents=[UriContent(uri="http://example.com/image.png", media_type="image/png")], role="user") + ChatMessage( + contents=[UriContent(uri="http://example.com/image.png", media_type="image/png")], + role="user", + ) ) ollama_client = OllamaChatClient() diff --git a/python/samples/getting_started/agents/ollama/README.md b/python/samples/getting_started/agents/ollama/README.md index 9281facba2..773ec5c604 100644 --- a/python/samples/getting_started/agents/ollama/README.md +++ b/python/samples/getting_started/agents/ollama/README.md @@ -17,23 +17,11 @@ This folder contains examples demonstrating how to use Ollama models with the Ag | File | Description | |------|-------------| | [`ollama_agent_basic.py`](ollama_agent_basic.py) | Demonstrates basic Ollama agent usage with the native Ollama Chat Client. Shows both streaming and non-streaming responses with tool calling capabilities. | -| [`ollama_agent_reasoning.py`](ollama_agent_reasoning.py) | Demonstrates Ollama agent with reasoning capabilities using the native Ollama Chat Client. Shows how to enable thinking/reasoning mode. | -| [`ollama_with_openai_chat_client.py`](ollama_with_openai_chat_client.py) | Demonstrates how to configure OpenAI Chat Client to use local Ollama models by pointing to the Ollama server endpoint. | ## Configuration The examples use environment variables for configuration. Set the appropriate variables based on which example you're running: -### For Native Ollama Examples (`ollama_agent_basic.py`, `ollama_agent_reasoning.py`) - -Set the following environment variables: - -- `OLLAMA_HOST`: The base URL for your Ollama server (optional, defaults to `http://localhost:11434`) - - Example: `export OLLAMA_HOST="http://localhost:11434"` - -- `OLLAMA_CHAT_MODEL_ID`: The model name to use - - Example: `export OLLAMA_CHAT_MODEL_ID="qwen2.5:8b"` - - Must be a model you have pulled with Ollama ### For OpenAI Client with Ollama (`ollama_with_openai_chat_client.py`) From 790d997967fb4704a1516ee594f2a870e55f9604 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 11 Dec 2025 13:08:10 +0100 Subject: [PATCH 32/37] Fix Link & Adding Samples to Main Sample Readme --- python/packages/ollama/README.md | 2 +- python/samples/README.md | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/python/packages/ollama/README.md b/python/packages/ollama/README.md index e0c33e626d..d49879c7cc 100644 --- a/python/packages/ollama/README.md +++ b/python/packages/ollama/README.md @@ -10,4 +10,4 @@ and see the [README](https://github.com/microsoft/agent-framework/tree/main/pyth # Run samples with the Ollama Conector -You can find samples how to run the connector under the [Getting_started] (https://github.com/microsoft/agent-framework/tree/main/python/packages/ollama/getting_started/README.md) folder +You can find samples how to run the connector under the [Getting_started] (./getting_started/README.md) folder diff --git a/python/samples/README.md b/python/samples/README.md index af51b28379..8e428441ca 100644 --- a/python/samples/README.md +++ b/python/samples/README.md @@ -102,6 +102,8 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen | File | Description | |------|-------------| | [`getting_started/agents/ollama/ollama_with_openai_chat_client.py`](./getting_started/agents/ollama/ollama_with_openai_chat_client.py) | Ollama with OpenAI Chat Client Example | +| [`packages/ollama/getting_started/ollama_agent_basic.py`](../packages/ollama/getting_started/ollama_agent_basic.py) | (Experimental) Ollama Agent with AgentFramework Ollama Chat Client | +| [`packages/ollama/getting_started/ollama_agent_reasoning.py`](../packages/ollama/getting_started/ollama_agent_reasoning.py) | (Experimental) Ollama Reasoning Agent with AgentFramework Ollama Chat Client | ### OpenAI From 21cdb4d42eb8c8a8dcb7271d9a9a171a375a2626 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 11 Dec 2025 13:23:55 +0100 Subject: [PATCH 33/37] Fixing Links in Readme --- python/samples/README.md | 4 ++-- python/samples/getting_started/agents/ollama/README.md | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/python/samples/README.md b/python/samples/README.md index 8e428441ca..284891e9b5 100644 --- a/python/samples/README.md +++ b/python/samples/README.md @@ -102,8 +102,8 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen | File | Description | |------|-------------| | [`getting_started/agents/ollama/ollama_with_openai_chat_client.py`](./getting_started/agents/ollama/ollama_with_openai_chat_client.py) | Ollama with OpenAI Chat Client Example | -| [`packages/ollama/getting_started/ollama_agent_basic.py`](../packages/ollama/getting_started/ollama_agent_basic.py) | (Experimental) Ollama Agent with AgentFramework Ollama Chat Client | -| [`packages/ollama/getting_started/ollama_agent_reasoning.py`](../packages/ollama/getting_started/ollama_agent_reasoning.py) | (Experimental) Ollama Reasoning Agent with AgentFramework Ollama Chat Client | +| [`packages/ollama/getting_started/ollama_agent_basic.py`](../packages/ollama/getting_started/ollama_agent_basic.py) | (Experimental) Ollama Agent with native Ollama Chat Client | +| [`packages/ollama/getting_started/ollama_agent_reasoning.py`](../packages/ollama/getting_started/ollama_agent_reasoning.py) | (Experimental) Ollama Reasoning Agent with native Ollama Chat Client | ### OpenAI diff --git a/python/samples/getting_started/agents/ollama/README.md b/python/samples/getting_started/agents/ollama/README.md index 773ec5c604..e6d0878c74 100644 --- a/python/samples/getting_started/agents/ollama/README.md +++ b/python/samples/getting_started/agents/ollama/README.md @@ -16,7 +16,7 @@ This folder contains examples demonstrating how to use Ollama models with the Ag | File | Description | |------|-------------| -| [`ollama_agent_basic.py`](ollama_agent_basic.py) | Demonstrates basic Ollama agent usage with the native Ollama Chat Client. Shows both streaming and non-streaming responses with tool calling capabilities. | +| [`ollama_with_openai_chat_client.py`](ollama_with_openai_chat_client.py) | Demonstrates how to configure OpenAI Chat Client to use local Ollama models. Shows both streaming and non-streaming responses with tool calling capabilities. | ## Configuration From 455045e91eec6f0c55e4a8ada6c92f726146c4ca Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Thu, 11 Dec 2025 16:36:23 +0100 Subject: [PATCH 34/37] Moved Multimodal and Chat Example --- .../packages/ollama/getting_started/README.md | 2 ++ .../getting_started}/ollama_chat_client.py | 2 +- .../ollama_chat_multimodal.py | 20 ++++++++++--------- python/samples/README.md | 4 ++++ 4 files changed, 18 insertions(+), 10 deletions(-) rename python/{samples/getting_started/chat_client => packages/ollama/getting_started}/ollama_chat_client.py (95%) rename python/{samples/getting_started/multimodal_input => packages/ollama/getting_started}/ollama_chat_multimodal.py (69%) diff --git a/python/packages/ollama/getting_started/README.md b/python/packages/ollama/getting_started/README.md index aa8e1e6860..af7dabe890 100644 --- a/python/packages/ollama/getting_started/README.md +++ b/python/packages/ollama/getting_started/README.md @@ -18,6 +18,8 @@ This folder contains examples demonstrating how to use Ollama models with the Ag |------|-------------| | [`ollama_agent_basic.py`](ollama_agent_basic.py) | Demonstrates basic Ollama agent usage with the native Ollama Chat Client. Shows both streaming and non-streaming responses with tool calling capabilities. | | [`ollama_agent_reasoning.py`](ollama_agent_reasoning.py) | Demonstrates Ollama agent with reasoning capabilities using the native Ollama Chat Client. Shows how to enable thinking/reasoning mode. | +| [`ollama_chat_client.py`](ollama_chat_client.py) | Ollama Chat Client with native Ollama Chat Client | +| [`ollama_chat_multimodal.py`](ollama_chat_multimodal.py) | Ollama Chat with multimodal native Ollama Chat Client | ## Configuration diff --git a/python/samples/getting_started/chat_client/ollama_chat_client.py b/python/packages/ollama/getting_started/ollama_chat_client.py similarity index 95% rename from python/samples/getting_started/chat_client/ollama_chat_client.py rename to python/packages/ollama/getting_started/ollama_chat_client.py index a85ddc3203..5cde122ecd 100644 --- a/python/samples/getting_started/chat_client/ollama_chat_client.py +++ b/python/packages/ollama/getting_started/ollama_chat_client.py @@ -3,7 +3,7 @@ import asyncio from datetime import datetime -from agent_framework.ollama import OllamaChatClient +from agent_framework_ollama import OllamaChatClient # Ensure to install Ollama and have a model running locally before running the sample # Not all Models support function calling, to test function calling try llama3.2 diff --git a/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py b/python/packages/ollama/getting_started/ollama_chat_multimodal.py similarity index 69% rename from python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py rename to python/packages/ollama/getting_started/ollama_chat_multimodal.py index f91efa4bc1..e0670d785d 100644 --- a/python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py +++ b/python/packages/ollama/getting_started/ollama_chat_multimodal.py @@ -1,11 +1,10 @@ # Copyright (c) Microsoft. All rights reserved. import asyncio -import base64 -import requests from agent_framework import ChatMessage, DataContent, Role, TextContent -from agent_framework.ollama import OllamaChatClient + +from agent_framework_ollama import OllamaChatClient """ Ollama Agent Multimodal Example @@ -20,22 +19,25 @@ """ +def create_sample_image() -> str: + """Create a simple 1x1 pixel PNG image for testing.""" + # This is a tiny red pixel in PNG format + png_data = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg==" + return f"data:image/png;base64,{png_data}" + + async def test_image() -> None: """Test image analysis with Ollama.""" client = OllamaChatClient() - # Fetch image from httpbin - image_url = "https://httpbin.org/image/jpeg" - response = requests.get(image_url) - image_b64 = base64.b64encode(response.content).decode() - image_uri = f"data:image/jpeg;base64,{image_b64}" + image_uri = create_sample_image() message = ChatMessage( role=Role.USER, contents=[ TextContent(text="What's in this image?"), - DataContent(uri=image_uri, media_type="image/jpeg"), + DataContent(uri=image_uri, media_type="image/png"), ], ) diff --git a/python/samples/README.md b/python/samples/README.md index 284891e9b5..80f9ab5961 100644 --- a/python/samples/README.md +++ b/python/samples/README.md @@ -149,6 +149,8 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen | [`getting_started/chat_client/openai_assistants_client.py`](./getting_started/chat_client/openai_assistants_client.py) | OpenAI Assistants Client Direct Usage Example | | [`getting_started/chat_client/openai_chat_client.py`](./getting_started/chat_client/openai_chat_client.py) | OpenAI Chat Client Direct Usage Example | | [`getting_started/chat_client/openai_responses_client.py`](./getting_started/chat_client/openai_responses_client.py) | OpenAI Responses Client Direct Usage Example | +| [`packages/ollama/getting_started/ollama_chat_client.py`](../packages/ollama/getting_started/ollama_chat_client.py) | (Experimental) Ollama Chat Client with native Ollama Chat Client | + ## Context Providers @@ -223,6 +225,8 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen | [`getting_started/multimodal_input/azure_chat_multimodal.py`](./getting_started/multimodal_input/azure_chat_multimodal.py) | Azure OpenAI Chat with multimodal (image) input example | | [`getting_started/multimodal_input/azure_responses_multimodal.py`](./getting_started/multimodal_input/azure_responses_multimodal.py) | Azure OpenAI Responses with multimodal (image) input example | | [`getting_started/multimodal_input/openai_chat_multimodal.py`](./getting_started/multimodal_input/openai_chat_multimodal.py) | OpenAI Chat with multimodal (image) input example | +| [`packages/ollama/getting_started/ollama_chat_multimodal.py`](../packages/ollama/getting_started/ollama_chat_multimodal.py) | (Experimental) Ollama Chat with multimodal native Ollama Chat Client | + ## Azure Functions From f51a446f49cc22d9a5d809c800c3be1c37f3c01c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 12 Dec 2025 08:16:40 +0100 Subject: [PATCH 35/37] Fixed Link in ChatClient to Ollama --- python/packages/ollama/getting_started/README.md | 1 + python/samples/getting_started/chat_client/README.md | 1 - 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/ollama/getting_started/README.md b/python/packages/ollama/getting_started/README.md index af7dabe890..bf159c5475 100644 --- a/python/packages/ollama/getting_started/README.md +++ b/python/packages/ollama/getting_started/README.md @@ -9,6 +9,7 @@ This folder contains examples demonstrating how to use Ollama models with the Ag 3. **Pull a model**: Run `ollama pull mistral` (or any other model you prefer) - For function calling examples, use models that support tool calling like `mistral` or `qwen2.5` - For reasoning examples, use models that support reasoning like `qwen2.5:8b` + - For Multimodality you can use models like `gemma3:4b` > **Note**: Not all models support all features. Function calling and reasoning capabilities depend on the specific model you're using. diff --git a/python/samples/getting_started/chat_client/README.md b/python/samples/getting_started/chat_client/README.md index c52fce5fa8..293b454821 100644 --- a/python/samples/getting_started/chat_client/README.md +++ b/python/samples/getting_started/chat_client/README.md @@ -14,7 +14,6 @@ This folder contains simple examples demonstrating direct usage of various chat | [`openai_assistants_client.py`](openai_assistants_client.py) | Direct usage of OpenAI Assistants Client for basic chat interactions with OpenAI assistants. | | [`openai_chat_client.py`](openai_chat_client.py) | Direct usage of OpenAI Chat Client for chat interactions with OpenAI models. | | [`openai_responses_client.py`](openai_responses_client.py) | Direct usage of OpenAI Responses Client for structured response generation with OpenAI models. | -| [`ollama_chat_client.py`](ollama_chat_client.py) | Direct usage of Ollama Chat Client for chat interactions with locally hosted Ollama models. | ## Environment Variables From 1032d53a74332f8be8a6d058cbfabc771067a228 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Fri, 12 Dec 2025 09:14:57 +0100 Subject: [PATCH 36/37] Fix AgentFramework Links in Ollama Project --- python/packages/ollama/pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml index fefdc1c59e..07a28d5a6d 100644 --- a/python/packages/ollama/pyproject.toml +++ b/python/packages/ollama/pyproject.toml @@ -1,12 +1,12 @@ [project] name = "agent-framework-ollama" description = "Ollama integration for Microsoft Agent Framework." -authors = [{ name = "Microsoft", email = "SK-Support@microsoft.com"}] +authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" version = "0.1.0b1" license-files = ["LICENSE"] -urls.homepage = "https://learn.microsoft.com/en-us/semantic-kernel/overview/" +urls.homepage = "https://learn.microsoft.com/en-us/agent-framework/" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true" urls.issues = "https://github.com/microsoft/agent-framework/issues" From ba3be39606b53a5cea63f17c1ad51278bfa9ca6c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nico=20M=C3=B6ller?= Date: Tue, 16 Dec 2025 15:01:22 +0100 Subject: [PATCH 37/37] Fix observability breaking change --- python/packages/ollama/agent_framework_ollama/_chat_client.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/packages/ollama/agent_framework_ollama/_chat_client.py b/python/packages/ollama/agent_framework_ollama/_chat_client.py index a25025d6fa..07df5a0d5f 100644 --- a/python/packages/ollama/agent_framework_ollama/_chat_client.py +++ b/python/packages/ollama/agent_framework_ollama/_chat_client.py @@ -38,7 +38,7 @@ ServiceInvalidRequestError, ServiceResponseException, ) -from agent_framework.observability import use_observability +from agent_framework.observability import use_instrumentation from ollama import AsyncClient # Rename imported types to avoid naming conflicts with Agent Framework types @@ -60,7 +60,7 @@ class OllamaSettings(AFBaseSettings): @use_function_invocation -@use_observability +@use_instrumentation @use_chat_middleware class OllamaChatClient(BaseChatClient): """Ollama Chat completion class."""