mirror of
https://github.com/microsoft/agent-framework.git
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838a7fd61d
* Replace Role and FinishReason classes with NewType + Literal
- Remove EnumLike metaclass from _types.py
- Replace Role class with NewType('Role', str) + RoleLiteral
- Replace FinishReason class with NewType('FinishReason', str) + FinishReasonLiteral
- Update all usages across codebase to use string literals
- Remove .value access patterns (direct string comparison now works)
- Add backward compatibility for legacy dict serialization format
- Update tests to reflect new string-based types
Addresses #3591, #3615
* Simplify ChatResponse and AgentResponse type hints (#3592)
- Remove overloads from ChatResponse.__init__
- Remove text parameter from ChatResponse.__init__
- Remove | dict[str, Any] from finish_reason and usage_details params
- Remove **kwargs from AgentResponse.__init__
- Both now accept ChatMessage | Sequence[ChatMessage] | None for messages
- Update docstrings and examples to reflect changes
- Fix tests that were using removed kwargs
- Fix Role type hint usage in ag-ui utils
* Remove text parameter from ChatResponseUpdate and AgentResponseUpdate (#3597)
- Remove text parameter from ChatResponseUpdate.__init__
- Remove text parameter from AgentResponseUpdate.__init__
- Remove **kwargs from both update classes
- Simplify contents parameter type to Sequence[Content] | None
- Update all usages to use contents=[Content.from_text(...)] pattern
- Fix imports in test files
- Update docstrings and examples
* Rename from_chat_response_updates to from_updates (#3593)
- ChatResponse.from_chat_response_updates → ChatResponse.from_updates
- ChatResponse.from_chat_response_generator → ChatResponse.from_update_generator
- AgentResponse.from_agent_run_response_updates → AgentResponse.from_updates
* Remove try_parse_value method from ChatResponse and AgentResponse (#3595)
- Remove try_parse_value method from ChatResponse
- Remove try_parse_value method from AgentResponse
- Remove try_parse_value calls from from_updates and from_update_generator methods
- Update samples to use try/except with response.value instead
- Update tests to use response.value pattern
- Users should now use response.value with try/except for safe parsing
* Add agent_id to AgentResponse and clarify author_name documentation (#3596)
- Add agent_id parameter to AgentResponse class
- Document that author_name is on ChatMessage objects, not responses
- Update ChatResponse docstring with author_name note
- Update AgentResponse docstring with author_name note
* Simplify ChatMessage.__init__ signature (#3618)
- Make contents a positional argument accepting Sequence[Content | str]
- Auto-convert strings in contents to TextContent
- Remove overloads, keep text kwarg for backward compatibility with serialization
- Update _parse_content_list to handle string items
- Update all usages across codebase to use new format: ChatMessage("role", ["text"])
* Allow Content as input on run and get_response
- Update prepare_messages and normalize_messages to accept Content
- Update type signatures in _agents.py and _clients.py
- Add tests for Content input handling
* Fix ChatMessage usage across packages and samples
Update all remaining ChatMessage(role=..., text=...) to use new
ChatMessage('role', ['text']) signature.
* Fix Role string usage and response format parsing
- Fix redis provider: remove .value access on string literals
- Fix durabletask ensure_response_format: set _response_format before accessing .value
* Fix ollama .value and ai_model_id issues, handle None in content list
- Fix ollama _chat_client: remove .value on string literals
- Fix ollama _chat_client: rename ai_model_id to model_id
- Fix _parse_content_list: skip None values gracefully
* Fix A2AAgent type signature to include Content
* Fix Role/FinishReason NewType dict annotations and improve test coverage to 95%
* Fix mypy errors for Role/FinishReason NewType usage
* Fix Role.TOOL and Role.ASSISTANT usage in _orchestrator_helpers.py
* Fix Role NewType usage in durabletask _models.py
199 lines
6.5 KiB
Python
199 lines
6.5 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from collections.abc import AsyncIterable
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from typing import Any
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from agent_framework import (
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AgentResponse,
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AgentResponseUpdate,
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AgentThread,
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BaseAgent,
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ChatMessage,
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Content,
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)
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"""
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Custom Agent Implementation Example
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This sample demonstrates implementing a custom agent by extending BaseAgent class,
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showing the minimal requirements for both streaming and non-streaming responses.
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"""
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class EchoAgent(BaseAgent):
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"""A simple custom agent that echoes user messages with a prefix.
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This demonstrates how to create a fully custom agent by extending BaseAgent
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and implementing the required run() and run_stream() methods.
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"""
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echo_prefix: str = "Echo: "
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def __init__(
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self,
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*,
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name: str | None = None,
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description: str | None = None,
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echo_prefix: str = "Echo: ",
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**kwargs: Any,
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) -> None:
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"""Initialize the EchoAgent.
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Args:
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name: The name of the agent.
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description: The description of the agent.
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echo_prefix: The prefix to add to echoed messages.
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**kwargs: Additional keyword arguments passed to BaseAgent.
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"""
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super().__init__(
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name=name,
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description=description,
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echo_prefix=echo_prefix, # type: ignore
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**kwargs,
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)
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async def run(
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self,
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messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
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*,
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thread: AgentThread | None = None,
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**kwargs: Any,
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) -> AgentResponse:
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"""Execute the agent and return a complete response.
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Args:
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messages: The message(s) to process.
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thread: The conversation thread (optional).
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**kwargs: Additional keyword arguments.
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Returns:
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An AgentResponse containing the agent's reply.
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"""
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# Normalize input messages to a list
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normalized_messages = self._normalize_messages(messages)
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if not normalized_messages:
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response_message = ChatMessage(
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"assistant",
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[Content.from_text(text="Hello! I'm a custom echo agent. Send me a message and I'll echo it back.")],
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)
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else:
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# For simplicity, echo the last user message
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last_message = normalized_messages[-1]
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if last_message.text:
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echo_text = f"{self.echo_prefix}{last_message.text}"
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else:
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echo_text = f"{self.echo_prefix}[Non-text message received]"
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response_message = ChatMessage("assistant", [Content.from_text(text=echo_text)])
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# Notify the thread of new messages if provided
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if thread is not None:
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await self._notify_thread_of_new_messages(thread, normalized_messages, response_message)
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return AgentResponse(messages=[response_message])
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async def run_stream(
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self,
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messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
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*,
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thread: AgentThread | None = None,
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**kwargs: Any,
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) -> AsyncIterable[AgentResponseUpdate]:
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"""Execute the agent and yield streaming response updates.
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Args:
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messages: The message(s) to process.
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thread: The conversation thread (optional).
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**kwargs: Additional keyword arguments.
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Yields:
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AgentResponseUpdate objects containing chunks of the response.
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"""
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# Normalize input messages to a list
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normalized_messages = self._normalize_messages(messages)
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if not normalized_messages:
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response_text = "Hello! I'm a custom echo agent. Send me a message and I'll echo it back."
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else:
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# For simplicity, echo the last user message
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last_message = normalized_messages[-1]
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if last_message.text:
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response_text = f"{self.echo_prefix}{last_message.text}"
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else:
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response_text = f"{self.echo_prefix}[Non-text message received]"
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# Simulate streaming by yielding the response word by word
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words = response_text.split()
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for i, word in enumerate(words):
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# Add space before word except for the first one
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chunk_text = f" {word}" if i > 0 else word
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yield AgentResponseUpdate(
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contents=[Content.from_text(text=chunk_text)],
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role="assistant",
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)
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# Small delay to simulate streaming
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await asyncio.sleep(0.1)
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# Notify the thread of the complete response if provided
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if thread is not None:
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complete_response = ChatMessage("assistant", [Content.from_text(text=response_text)])
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await self._notify_thread_of_new_messages(thread, normalized_messages, complete_response)
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async def main() -> None:
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"""Demonstrates how to use the custom EchoAgent."""
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print("=== Custom Agent Example ===\n")
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# Create EchoAgent
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print("--- EchoAgent Example ---")
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echo_agent = EchoAgent(
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name="EchoBot", description="A simple agent that echoes messages with a prefix", echo_prefix="🔊 Echo: "
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)
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# Test non-streaming
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print(f"Agent Name: {echo_agent.name}")
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print(f"Agent ID: {echo_agent.id}")
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query = "Hello, custom agent!"
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print(f"\nUser: {query}")
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result = await echo_agent.run(query)
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print(f"Agent: {result.messages[0].text}")
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# Test streaming
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query2 = "This is a streaming test"
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print(f"\nUser: {query2}")
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print("Agent: ", end="", flush=True)
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async for chunk in echo_agent.run_stream(query2):
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if chunk.text:
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print(chunk.text, end="", flush=True)
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print()
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# Example with threads
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print("\n--- Using Custom Agent with Thread ---")
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thread = echo_agent.get_new_thread()
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# First message
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result1 = await echo_agent.run("First message", thread=thread)
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print("User: First message")
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print(f"Agent: {result1.messages[0].text}")
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# Second message in same thread
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result2 = await echo_agent.run("Second message", thread=thread)
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print("User: Second message")
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print(f"Agent: {result2.messages[0].text}")
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# Check conversation history
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if thread.message_store:
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messages = await thread.message_store.list_messages()
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print(f"\nThread contains {len(messages)} messages in history")
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else:
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print("\nThread has no message store configured")
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if __name__ == "__main__":
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asyncio.run(main())
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