mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Comments and mypy
This commit is contained in:
Tao Chen
@@ -60,7 +60,8 @@ class InvocationsHostServer(InvocationAgentServerHost):
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async def stream_response() -> AsyncGenerator[str]:
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async for update in self._agent.run(user_message, session=session, stream=True):
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yield update.text
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if update.text:
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yield update.text
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return StreamingResponse(
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stream_response(),
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@@ -174,7 +174,7 @@ class ResponsesHostServer(ResponsesAgentServerHost):
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input_text = await context.get_input_text()
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history = await context.get_history()
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messages = [*_to_messages(history), input_text]
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messages: list[str | Content | Message] = [*_to_messages(history), input_text]
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chat_options, are_options_set = _to_chat_options(request)
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@@ -187,7 +187,7 @@ class ResponsesHostServer(ResponsesAgentServerHost):
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if not is_streaming_request:
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# Run the agent in non-streaming mode
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if isinstance(self._agent, RawAgent):
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raw_agent = cast("RawAgent[Any]", self._agent) # pyright: ignore[reportUnknownMemberType]
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raw_agent = cast("RawAgent[Any]", self._agent) # type: ignore[redundant-cast] # pyright: ignore[reportUnknownMemberType]
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response = await raw_agent.run(messages, stream=False, options=chat_options)
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else:
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if are_options_set:
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@@ -204,7 +204,7 @@ class ResponsesHostServer(ResponsesAgentServerHost):
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# Run the agent in streaming mode
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if isinstance(self._agent, RawAgent):
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raw_agent = cast("RawAgent[Any]", self._agent) # pyright: ignore[reportUnknownMemberType]
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raw_agent = cast("RawAgent[Any]", self._agent) # type: ignore[redundant-cast] # pyright: ignore[reportUnknownMemberType]
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response_stream = raw_agent.run(messages, stream=True, options=chat_options)
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else:
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if are_options_set:
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@@ -331,7 +331,7 @@ class ResponsesHostServer(ResponsesAgentServerHost):
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return
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@staticmethod
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async def _delete_not_latest_checkpoints(checkpoint_storage: FileCheckpointStorage, workflow_name: str):
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async def _delete_not_latest_checkpoints(checkpoint_storage: FileCheckpointStorage, workflow_name: str) -> None:
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"""Delete all checkpoints except the latest one.
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We only need the last checkpoint for each invocation.
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@@ -559,14 +559,14 @@ def _to_message(item: OutputItem) -> Message:
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ValueError: If the OutputItem type is not supported.
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"""
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if item.type == "output_message":
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msg = cast(OutputItemOutputMessage, item)
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contents = [_convert_output_message_content(part) for part in msg.content]
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return Message(role=msg.role, contents=contents)
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output_msg = cast(OutputItemOutputMessage, item)
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return Message(
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role=output_msg.role, contents=[_convert_output_message_content(part) for part in output_msg.content]
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)
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if item.type == "message":
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msg = cast(OutputItemMessage, item)
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contents = [_convert_message_content(part) for part in msg.content]
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return Message(role=msg.role, contents=contents)
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return Message(role=msg.role, contents=[_convert_message_content(part) for part in msg.content])
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if item.type == "function_call":
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fc = cast(OutputItemFunctionToolCall, item)
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@@ -607,7 +607,7 @@ def _to_message(item: OutputItem) -> Message:
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if item.type == "mcp_approval_request":
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mcp_req = cast(OutputItemMcpApprovalRequest, item)
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fc = Content.from_mcp_server_tool_call(
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mcp_call_content = Content.from_mcp_server_tool_call(
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mcp_req.id,
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mcp_req.name,
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server_name=mcp_req.server_label,
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@@ -615,16 +615,16 @@ def _to_message(item: OutputItem) -> Message:
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)
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return Message(
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role="assistant",
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contents=[Content.from_function_approval_request(mcp_req.id, fc)],
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contents=[Content.from_function_approval_request(mcp_req.id, mcp_call_content)],
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)
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if item.type == "mcp_approval_response":
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mcp_resp = cast(OutputItemMcpApprovalResponseResource, item)
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# Build a placeholder function_call Content since the original call details are not available
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fc = Content.from_function_call(mcp_resp.approval_request_id, "mcp_approval")
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placeholder_content = Content.from_function_call(mcp_resp.approval_request_id, "mcp_approval")
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return Message(
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role="user",
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contents=[Content.from_function_approval_response(mcp_resp.approve, mcp_resp.id, fc)],
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contents=[Content.from_function_approval_response(mcp_resp.approve, mcp_resp.id, placeholder_content)],
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)
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if item.type == "code_interpreter_call":
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@@ -45,7 +45,7 @@ Run the container, passing in the required environment variables:
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```bash
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docker run -p 8088:8088 \
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-e FOUNDRY_PROJECT_ENDPOINT=<your-endpoint> \
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-e FOUNDRY_MODEL=<your-model> \
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-e MODEL_DEPLOYMENT_NAME=<your-model> \
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hosted-agent-sample
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```
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@@ -1,2 +1,2 @@
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FOUNDRY_PROJECT_ENDPOINT= "..."
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FOUNDRY_PROJECT_ENDPOINT="..."
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MODEL_DEPLOYMENT_NAME="..."
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+1
-1
@@ -1,2 +1,2 @@
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FOUNDRY_PROJECT_ENDPOINT= "..."
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FOUNDRY_PROJECT_ENDPOINT="..."
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MODEL_DEPLOYMENT_NAME="..."
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@@ -1,5 +1,7 @@
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# Basic example of hosting an agent with the `invocations` API
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This is the same as the [01_basic](../01_basic/README.md) example, but demonstrates the "break glass" scenario where you can create your own `invoke_handler` to handle specific types of invocations. This is useful when you want to override the default behavior for certain requests or add custom processing logic.
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## Running the server locally
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### Environment setup
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@@ -16,7 +16,7 @@ python main.py
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## Interacting with the agent
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Send a POST request to the server with a JSON body containing a "message" field to interact with the agent. For example:
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Send a POST request to the server with a JSON body containing a "input" field to interact with the agent. For example:
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```bash
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curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "Hi"}'
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@@ -2,7 +2,7 @@ kind: hosted
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name: agent-framework-agent-basic
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protocols:
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- protocol: responses
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version: v0.1.0
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version: 1.0.0
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resources:
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cpu: "0.25"
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memory: 0.5Gi
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@@ -1,6 +1,6 @@
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# Basic example of hosting an agent with the `responses` API and local tools
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This agent is equipped with with a function tool and a local shell tool.
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This agent is equipped with a function tool and a local shell tool.
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> We recommend deploying this sample on a local container or to Foundry Hosting because the agent has access to a local shell tool, which can run arbitrary commands on the machine.
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@@ -18,7 +18,7 @@ python main.py
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## Interacting with the agent
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Send a POST request to the server with a JSON body containing a "message" field to interact with the agent. For example:
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Send a POST request to the server with a JSON body containing a "input" field to interact with the agent. For example:
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```bash
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curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "What is the weather in Seattle?"}'
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@@ -2,7 +2,7 @@ kind: hosted
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name: agent-framework-agent-with-local-tools
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protocols:
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- protocol: responses
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version: v0.1.0
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version: 1.0.0
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resources:
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cpu: "0.25"
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memory: 0.5Gi
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@@ -18,7 +18,7 @@ python main.py
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## Interacting with the agent
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Send a POST request to the server with a JSON body containing a "message" field to interact with the agent. For example:
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Send a POST request to the server with a JSON body containing a "input" field to interact with the agent. For example:
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```bash
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curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "List all the repositories I own on GitHub."}'
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+2
-2
@@ -19,8 +19,8 @@ template:
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value: "{{MODEL_DEPLOYMENT_NAME}}"
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- name: GITHUB_PAT
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value: ${GITHUB_PAT}
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- name: FOUNDRY_AGENT_TOOLBOX_NAME
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value: ${FOUNDRY_AGENT_TOOLBOX_NAME}
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- name: TOOLBOX_NAME
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value: ${TOOLBOX_NAME}
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resources:
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- kind: model
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id: gpt-4.1-mini
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@@ -2,7 +2,7 @@ kind: hosted
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name: agent-framework-agent-with-remote-mcp-tools
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protocols:
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- protocol: responses
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version: v0.1.0
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version: 1.0.0
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resources:
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cpu: "0.25"
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memory: 0.5Gi
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@@ -16,7 +16,7 @@ python main.py
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## Interacting with the agent
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Send a POST request to the server with a JSON body containing a "message" field to interact with the agent. For example:
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Send a POST request to the server with a JSON body containing a "input" field to interact with the agent. For example:
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```bash
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curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "Create a slogan for a new electric SUV that is affordable and fun to drive."}'
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@@ -2,7 +2,7 @@ kind: hosted
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name: agent-framework-workflows
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protocols:
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- protocol: responses
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version: v0.1.0
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version: 1.0.0
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resources:
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cpu: "0.25"
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memory: 0.5Gi
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@@ -6,6 +6,6 @@ This folder contains a list of samples that show how to host agents using the `r
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| --- | --- |
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| [01_basic](./01_basic) | A basic example of hosting an agent with the `responses` API and carrying on a multi-turn conversation. |
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| [02_local_tools](./02_local_tools) | An example of hosting an agent with the `responses` API and local tools including a function tool and a local shell tool. |
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| [03_remote_mcp](./03_remote_mcp) | An example of hosting an agent with the `responses` API and remote MCPs, including a GitHub MCP server and a Foundry Toolboox. |
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| [03_remote_mcp](./03_remote_mcp) | An example of hosting an agent with the `responses` API and remote MCPs, including a GitHub MCP server and a Foundry Toolbox. |
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| [04_workflows](./04_workflows) | An example of hosting a workflow with the `responses` API. |
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| [using_deployed_agent.py](./using_deployed_agent.py) | An example of how to use the deployed agent in Agent Framework. |
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@@ -32,7 +32,7 @@ async def main() -> None:
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await print_streaming_response(streaming_response)
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# Second turn
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query = "You name is Javis. What can you do?"
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query = "Your name is Javis. What can you do?"
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print(f"\nUser: {query}")
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print("Agent: ", end="", flush=True)
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streaming_response = agent.run(query, session=session, stream=True)
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Generated
+8
-2
@@ -1,5 +1,5 @@
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version = 1
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revision = 3
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revision = 2
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requires-python = ">=3.10"
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resolution-markers = [
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"python_full_version >= '3.14' and sys_platform == 'darwin'",
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@@ -501,7 +501,7 @@ requires-dist = [
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[[package]]
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name = "agent-framework-foundry-hosting"
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version = "1.0.0a260402"
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version = "1.0.0a260420"
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source = { editable = "packages/foundry_hosting" }
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dependencies = [
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{ name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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@@ -2487,6 +2487,7 @@ wheels = [
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@@ -2494,6 +2495,7 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/0a/03/996c2d1689d486a6e199cb0f1cf9e4aa940c500e01bdf201299d7d61fa69/greenlet-3.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:64970c33a50551c7c50491671265d8954046cb6e8e2999aacdd60e439b70418a", size = 1571277, upload-time = "2026-02-20T20:49:34.795Z" },
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{ url = "https://files.pythonhosted.org/packages/d9/c4/2570fc07f34a39f2caf0bf9f24b0a1a0a47bc2e8e465b2c2424821389dfc/greenlet-3.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1a9172f5bf6bd88e6ba5a84e0a68afeac9dc7b6b412b245dd64f52d83c81e55b", size = 1640455, upload-time = "2026-02-20T20:21:10.261Z" },
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@@ -2518,6 +2522,7 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/b3/de/dd7589b3f2b8372069ab3e4763ea5329940fc7ad9dcd3e272a37516d7c9b/greenlet-3.3.2-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c2e47408e8ce1c6f1ceea0dffcdf6ebb85cc09e55c7af407c99f1112016e45e9", size = 662163, upload-time = "2026-02-20T20:56:01.295Z" },
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{ url = "https://files.pythonhosted.org/packages/cd/ac/85804f74f1ccea31ba518dcc8ee6f14c79f73fe36fa1beba38930806df09/greenlet-3.3.2-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:e3cb43ce200f59483eb82949bf1835a99cf43d7571e900d7c8d5c62cdf25d2f9", size = 675371, upload-time = "2026-02-20T21:02:49.664Z" },
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{ url = "https://files.pythonhosted.org/packages/d2/d8/09bfa816572a4d83bccd6750df1926f79158b1c36c5f73786e26dbe4ee38/greenlet-3.3.2-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:63d10328839d1973e5ba35e98cccbca71b232b14051fd957b6f8b6e8e80d0506", size = 664160, upload-time = "2026-02-20T20:21:04.015Z" },
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{ url = "https://files.pythonhosted.org/packages/48/cf/56832f0c8255d27f6c35d41b5ec91168d74ec721d85f01a12131eec6b93c/greenlet-3.3.2-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:8e4ab3cfb02993c8cc248ea73d7dae6cec0253e9afa311c9b37e603ca9fad2ce", size = 1619181, upload-time = "2026-02-20T20:49:36.052Z" },
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{ url = "https://files.pythonhosted.org/packages/0a/23/b90b60a4aabb4cec0796e55f25ffbfb579a907c3898cd2905c8918acaa16/greenlet-3.3.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:94ad81f0fd3c0c0681a018a976e5c2bd2ca2d9d94895f23e7bb1af4e8af4e2d5", size = 1687713, upload-time = "2026-02-20T20:21:11.684Z" },
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@@ -2526,6 +2531,7 @@ wheels = [
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Reference in New Issue
Block a user