diff --git a/examples/tutorials/00_sync/000_hello_acp/dev.ipynb b/examples/tutorials/00_sync/000_hello_acp/dev.ipynb new file mode 100644 index 00000000..610d65b2 --- /dev/null +++ b/examples/tutorials/00_sync/000_hello_acp/dev.ipynb @@ -0,0 +1,197 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"s000-hello-acp\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [], + "source": [ + "# # (Optional) Create a new task. If you don't create a new task, each message will be sent to a new task. The server will create the task for you.\n", + "\n", + "# import uuid\n", + "\n", + "# TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "# rpc_response = client.agents.rpc_by_name(\n", + "# agent_name=AGENT_NAME,\n", + "# method=\"task/create\",\n", + "# params={\n", + "# \"name\": f\"{TASK_ID}-task\",\n", + "# \"params\": {}\n", + "# }\n", + "# )\n", + "\n", + "# task = rpc_response.result\n", + "# print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello! I've received your message. Here's a generic response, but in future tutorials we'll see how you can get me to intelligently respond to your message. This is what I heard you say: Hello what can you do?\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import List, cast\n", + "from agentex.types import TaskMessage, TextContent\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": False\n", + " }\n", + ")\n", + "\n", + "# # Extract and print just the text content from the response\n", + "# # The response is expected to be a dict with a \"result\" key containing a list of message dicts\n", + "if rpc_response and rpc_response.result:\n", + "\n", + " # We know that the result of the message/send when stream is set to False will be a list of TaskMessage objects\n", + " task_message_list = cast(List[TaskMessage], rpc_response.result)\n", + " for task_message in rpc_response.result:\n", + " if isinstance(task_message, TaskMessage):\n", + " content = task_message.content\n", + " if isinstance(content, TextContent):\n", + " text = content.content\n", + " print(text)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in response.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "79688331", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello! I've received your message. Here's a generic response, but in future tutorials we'll see how you can get me to intelligently respond to your message. This is what I heard you say: Hello what can you do?\n" + ] + } + ], + "source": [ + "# Test streaming response\n", + "import json\n", + "from agentex.types import AgentRpcResponse\n", + "from agentex.types.agent_rpc_result import StreamTaskMessageDelta, StreamTaskMessageFull\n", + "from agentex.types.text_delta import TextDelta\n", + "from agentex.types.task_message_update import TaskMessageUpdate\n", + "\n", + "\n", + "# The result object of message/send will be a TaskMessageUpdate which is a union of the following types:\n", + "# - StreamTaskMessageStart: \n", + "# - An indicator that a streaming message was started, doesn't contain any useful content\n", + "# - StreamTaskMessageDelta: \n", + "# - A delta of a streaming message, contains the text delta to aggregate\n", + "# - StreamTaskMessageDone: \n", + "# - An indicator that a streaming message was done, doesn't contain any useful content\n", + "# - StreamTaskMessageFull: \n", + "# - A non-streaming message, there is nothing to aggregate, since this contains the full message, not deltas\n", + "\n", + "# Whenn processing StreamTaskMessageDelta, if you are expecting more than TextDeltas, such as DataDelta, ToolRequestDelta, or ToolResponseDelta, you can process them as well\n", + "# Whenn processing StreamTaskMessageFull, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "with client.agents.with_streaming_response.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": True\n", + " }\n", + ") as response:\n", + " for agent_rpc_response_str in response.iter_text():\n", + " chunk_rpc_response = AgentRpcResponse.model_validate(json.loads(agent_rpc_response_str))\n", + " # We know that the result of the message/send when stream is set to True will be a TaskMessageUpdate\n", + " task_message_update = cast(TaskMessageUpdate, chunk_rpc_response.result)\n", + "\n", + " # Print oly the text deltas as they arrive or any full messages\n", + " if isinstance(task_message_update, StreamTaskMessageDelta):\n", + " delta = task_message_update.delta\n", + " if isinstance(delta, TextDelta):\n", + " print(delta.text_delta, end=\"\", flush=True)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in streaming message.\")\n", + " elif isinstance(task_message_update, StreamTaskMessageFull):\n", + " content = task_message_update.content\n", + " if isinstance(content, TextContent):\n", + " print(content.content)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in full message.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "568673bf", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/00_sync/010_multiturn/dev.ipynb b/examples/tutorials/00_sync/010_multiturn/dev.ipynb new file mode 100644 index 00000000..46ab9fdd --- /dev/null +++ b/examples/tutorials/00_sync/010_multiturn/dev.ipynb @@ -0,0 +1,214 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"s010-multiturn\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [], + "source": [ + "# # (Optional) Create a new task. If you don't create a new task, each message will be sent to a new task. The server will create the task for you.\n", + "\n", + "# import uuid\n", + "\n", + "# TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "# rpc_response = client.agents.rpc_by_name(\n", + "# agent_name=AGENT_NAME,\n", + "# method=\"task/create\",\n", + "# params={\n", + "# \"name\": f\"{TASK_ID}-task\",\n", + "# \"params\": {}\n", + "# }\n", + "# )\n", + "\n", + "# task = rpc_response.result\n", + "# print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello! I can assist you with a variety of tasks, including:\n", + "\n", + "1. Answering questions on a wide range of topics, including science, history, technology, and more.\n", + "2. Providing explanations or summaries of complex concepts.\n", + "3. Offering writing assistance, such as proofreading, editing, or generating ideas for essays and articles.\n", + "4. Helping with problem-solving in areas like math, coding, or logic puzzles.\n", + "5. Engaging in conversation to provide companionship or entertainment.\n", + "\n", + "If there's something specific you need help with, feel free to ask!\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import List, cast\n", + "from agentex.types import TaskMessage, TextContent\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": False\n", + " }\n", + ")\n", + "\n", + "# # Extract and print just the text content from the response\n", + "# # The response is expected to be a dict with a \"result\" key containing a list of message dicts\n", + "if rpc_response and rpc_response.result:\n", + "\n", + " # We know that the result of the message/send when stream is set to False will be a list of TaskMessage objects\n", + " task_message_list = cast(List[TaskMessage], rpc_response.result)\n", + " for task_message in rpc_response.result:\n", + " if isinstance(task_message, TaskMessage):\n", + " content = task_message.content\n", + " if isinstance(content, TextContent):\n", + " text = content.content\n", + " print(text)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in response.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "79688331", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello! I can assist you with a wide range of tasks, including:\n", + "\n", + "1. **Answering questions**: I can provide information on a variety of topics, including history, science, technology, and more.\n", + "2. **Learning and education**: I can help explain concepts, provide summaries, and assist with studying.\n", + "3. **Writing assistance**: I can help you draft, edit, or brainstorm ideas for essays, reports, and creative writing.\n", + "4. **Programming help**: I can assist with coding questions, debugging, and providing explanations of programming concepts.\n", + "5. **Language translation**: I can translate text between several languages.\n", + "6. **General advice**: I can offer suggestions on topics like time management, study techniques, and more.\n", + "\n", + "Feel free to ask me anything specific you need help with!\n" + ] + } + ], + "source": [ + "# Test streaming response\n", + "import json\n", + "from agentex.types import AgentRpcResponse\n", + "from agentex.types.agent_rpc_result import StreamTaskMessageDelta, StreamTaskMessageFull\n", + "from agentex.types.text_delta import TextDelta\n", + "from agentex.types.task_message_update import TaskMessageUpdate\n", + "\n", + "\n", + "# The result object of message/send will be a TaskMessageUpdate which is a union of the following types:\n", + "# - StreamTaskMessageStart: \n", + "# - An indicator that a streaming message was started, doesn't contain any useful content\n", + "# - StreamTaskMessageDelta: \n", + "# - A delta of a streaming message, contains the text delta to aggregate\n", + "# - StreamTaskMessageDone: \n", + "# - An indicator that a streaming message was done, doesn't contain any useful content\n", + "# - StreamTaskMessageFull: \n", + "# - A non-streaming message, there is nothing to aggregate, since this contains the full message, not deltas\n", + "\n", + "# Whenn processing StreamTaskMessageDelta, if you are expecting more than TextDeltas, such as DataDelta, ToolRequestDelta, or ToolResponseDelta, you can process them as well\n", + "# Whenn processing StreamTaskMessageFull, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "with client.agents.with_streaming_response.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": True\n", + " }\n", + ") as response:\n", + " for agent_rpc_response_str in response.iter_text():\n", + " chunk_rpc_response = AgentRpcResponse.model_validate(json.loads(agent_rpc_response_str))\n", + " # We know that the result of the message/send when stream is set to True will be a TaskMessageUpdate\n", + " task_message_update = cast(TaskMessageUpdate, chunk_rpc_response.result)\n", + "\n", + " # Print oly the text deltas as they arrive or any full messages\n", + " if isinstance(task_message_update, StreamTaskMessageDelta):\n", + " delta = task_message_update.delta\n", + " if isinstance(delta, TextDelta):\n", + " print(delta.text_delta, end=\"\", flush=True)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in streaming message.\")\n", + " elif isinstance(task_message_update, StreamTaskMessageFull):\n", + " content = task_message_update.content\n", + " if isinstance(content, TextContent):\n", + " print(content.content)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in full message.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42689ee4", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/00_sync/020_streaming/dev.ipynb b/examples/tutorials/00_sync/020_streaming/dev.ipynb new file mode 100644 index 00000000..63ee2d87 --- /dev/null +++ b/examples/tutorials/00_sync/020_streaming/dev.ipynb @@ -0,0 +1,173 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"s020-streaming\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [], + "source": [ + "# # (Optional) Create a new task. If you don't create a new task, each message will be sent to a new task. The server will create the task for you.\n", + "\n", + "# import uuid\n", + "\n", + "# TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "# rpc_response = client.agents.rpc_by_name(\n", + "# agent_name=AGENT_NAME,\n", + "# method=\"task/create\",\n", + "# params={\n", + "# \"name\": f\"{TASK_ID}-task\",\n", + "# \"params\": {}\n", + "# }\n", + "# )\n", + "\n", + "# task = rpc_response.result\n", + "# print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b03b0d37", + "metadata": {}, + "outputs": [], + "source": [ + "# Test non streaming response\n", + "from typing import List, cast\n", + "from agentex.types import TaskMessage, TextContent\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": False\n", + " }\n", + ")\n", + "\n", + "# # Extract and print just the text content from the response\n", + "# # The response is expected to be a dict with a \"result\" key containing a list of message dicts\n", + "if rpc_response and rpc_response.result:\n", + "\n", + " # We know that the result of the message/send when stream is set to False will be a list of TaskMessage objects\n", + " task_message_list = cast(List[TaskMessage], rpc_response.result)\n", + " for task_message in rpc_response.result:\n", + " if isinstance(task_message, TaskMessage):\n", + " content = task_message.content\n", + " if isinstance(content, TextContent):\n", + " text = content.content\n", + " print(text)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in response.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79688331", + "metadata": {}, + "outputs": [], + "source": [ + "# Test streaming response\n", + "import json\n", + "from agentex.types import AgentRpcResponse\n", + "from agentex.types.agent_rpc_result import StreamTaskMessageDelta, StreamTaskMessageFull\n", + "from agentex.types.text_delta import TextDelta\n", + "from agentex.types.task_message_update import TaskMessageUpdate\n", + "\n", + "\n", + "# The result object of message/send will be a TaskMessageUpdate which is a union of the following types:\n", + "# - StreamTaskMessageStart: \n", + "# - An indicator that a streaming message was started, doesn't contain any useful content\n", + "# - StreamTaskMessageDelta: \n", + "# - A delta of a streaming message, contains the text delta to aggregate\n", + "# - StreamTaskMessageDone: \n", + "# - An indicator that a streaming message was done, doesn't contain any useful content\n", + "# - StreamTaskMessageFull: \n", + "# - A non-streaming message, there is nothing to aggregate, since this contains the full message, not deltas\n", + "\n", + "# Whenn processing StreamTaskMessageDelta, if you are expecting more than TextDeltas, such as DataDelta, ToolRequestDelta, or ToolResponseDelta, you can process them as well\n", + "# Whenn processing StreamTaskMessageFull, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "with client.agents.with_streaming_response.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": True\n", + " }\n", + ") as response:\n", + " for agent_rpc_response_str in response.iter_text():\n", + " chunk_rpc_response = AgentRpcResponse.model_validate(json.loads(agent_rpc_response_str))\n", + " # We know that the result of the message/send when stream is set to True will be a TaskMessageUpdate\n", + " task_message_update = cast(TaskMessageUpdate, chunk_rpc_response.result)\n", + "\n", + " # Print oly the text deltas as they arrive or any full messages\n", + " if isinstance(task_message_update, StreamTaskMessageDelta):\n", + " delta = task_message_update.delta\n", + " if isinstance(delta, TextDelta):\n", + " print(delta.text_delta, end=\"\", flush=True)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in streaming message.\")\n", + " elif isinstance(task_message_update, StreamTaskMessageFull):\n", + " content = task_message_update.content\n", + " if isinstance(content, TextContent):\n", + " print(content.content)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in full message.\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/00_sync/020_streaming/test.ipynb b/examples/tutorials/00_sync/020_streaming/test.ipynb deleted file mode 100644 index 386043ed..00000000 --- a/examples/tutorials/00_sync/020_streaming/test.ipynb +++ /dev/null @@ -1,193 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 15, - "id": "d1c309d6", - "metadata": {}, - "outputs": [], - "source": [ - "AGENT_NAME = \"s020-streaming\"" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "36834357", - "metadata": {}, - "outputs": [], - "source": [ - "from agentex import Agentex\n", - "\n", - "client = Agentex(api_key=\"random\", base_url=\"http://localhost:5003\")" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "9f6e6ef0", - "metadata": {}, - "outputs": [], - "source": [ - "# # (Optional) Create a new task. If you don't create a new task, each message will be sent to a new task. The server will create the task for you.\n", - "\n", - "# import uuid\n", - "\n", - "# TASK_ID = str(uuid.uuid4())[:8]\n", - "\n", - "# rpc_response = client.agents.rpc_by_name(\n", - "# agent_name=AGENT_NAME,\n", - "# method=\"task/create\",\n", - "# params={\n", - "# \"name\": f\"{TASK_ID}-task\",\n", - "# \"params\": {}\n", - "# }\n", - "# )\n", - "\n", - "# task = rpc_response.result\n", - "# print(task)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "b03b0d37", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Hello! I can assist you with a variety of tasks, including:\n", - "\n", - "1. **Answering Questions**: I can provide information on a wide range of topics, including science, history, technology, and more.\n", - "2. **Explaining Concepts**: If you need help understanding a concept or topic, I can provide explanations and clarifications.\n", - "3. **Writing Assistance**: I can help with writing tasks, such as drafting emails, essays, or creative pieces.\n", - "4. **Language Support**: I can assist with grammar, vocabulary, and writing in different languages.\n", - "5. **Providing Recommendations**: Whether it's books, movies, or recipes, I can suggest options based on your preferences.\n", - "6. **Problem-Solving**: I can help you think through problems or brainstorm ideas.\n", - "\n", - "If there's something specific you need help with, feel free to ask!\n" - ] - } - ], - "source": [ - "# Test non streaming response\n", - "from agentex.types import TaskMessage, TextContent\n", - "\n", - "rpc_response = client.agents.rpc_by_name(\n", - " agent_name=AGENT_NAME,\n", - " method=\"message/send\",\n", - " params={\n", - " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", - " \"stream\": False\n", - " }\n", - ")\n", - "\n", - "# # Extract and print just the text content from the response\n", - "# # The response is expected to be a dict with a \"result\" key containing a list of message dicts\n", - "if rpc_response and rpc_response.result:\n", - " for message in rpc_response.result:\n", - " if isinstance(message, TaskMessage):\n", - " content = message.content\n", - " if isinstance(content, TextContent):\n", - " text = content.content\n", - " print(text)\n", - " else:\n", - " print(\"No text content found in response.\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "79688331", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Hello! I can help with a variety of tasks, including:\n", - "\n", - "1. **Answering Questions**: I can provide information on a wide range of topics, from historical facts to scientific concepts.\n", - "\n", - "2. **Providing Explanations**: If you're looking to understand a specific topic better, I can explain it in detail.\n", - "\n", - "3. **Offering Writing Assistance**: I can help with writing prompts, editing text, or generating ideas for essays, articles, and more.\n", - "\n", - "4. **Solving Problems**: I can assist with math problems, logic puzzles, and more.\n", - "\n", - "5. **Learning Support**: I can help with study tips, summarizing information, and creating study guides.\n", - "\n", - "6. **Conversational Practice**: If you want to practice a language or just have a chat, I’m here for that too!\n", - "\n", - "7. **Recommendation Systems**: I can recommend books, movies, or other media based on your interests.\n", - "\n", - "Feel free to ask me anything specific you need help with!" - ] - } - ], - "source": [ - "# Test streaming response\n", - "import json\n", - "from agentex.types import AgentRpcResponse\n", - "from agentex.types.agent_rpc_result import StreamTaskMessageDelta, StreamTaskMessageFull\n", - "from agentex.types.text_delta import TextDelta\n", - "\n", - "with client.agents.with_streaming_response.rpc_by_name(\n", - " agent_name=AGENT_NAME,\n", - " method=\"message/send\",\n", - " params={\n", - " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", - " \"stream\": True\n", - " }\n", - ") as response:\n", - " for streaming_response_str in response.iter_text():\n", - " chunk_rpc_responses = streaming_response_str.split(\"\\n\")\n", - " for chunk_rpc_response in chunk_rpc_responses:\n", - " if chunk_rpc_response:\n", - " chunk_rpc_response_dict = json.loads(chunk_rpc_response)\n", - " chunk_rpc_response = AgentRpcResponse.model_validate(chunk_rpc_response_dict)\n", - " result = chunk_rpc_response.result\n", - " # Print only the text deltas as they arrive or any full messages\n", - " if isinstance(result, StreamTaskMessageDelta):\n", - " delta = result.delta\n", - " if isinstance(delta, TextDelta):\n", - " print(delta.text_delta, end=\"\", flush=True)\n", - " elif isinstance(result, StreamTaskMessageFull):\n", - " content = result.content\n", - " if isinstance(content, TextContent):\n", - " print(content.content)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4ffb663c", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/tutorials/10_agentic/00_base/000_hello_acp/dev.ipynb b/examples/tutorials/10_agentic/00_base/000_hello_acp/dev.ipynb new file mode 100644 index 00000000..b2d726c9 --- /dev/null +++ b/examples/tutorials/10_agentic/00_base/000_hello_acp/dev.ipynb @@ -0,0 +1,197 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"ab000-hello-acp\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='4a6ff681-8875-4a60-9e21-7308193dc327', created_at=datetime.datetime(2025, 7, 27, 1, 16, 2, 616, tzinfo=TzInfo(UTC)), name='110f7a13-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 1, 16, 2, 616, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='b235c5c6-b2f8-40b8-be60-a873c88f4d21', agent_id='93fa9758-abca-421e-a3ed-9f08a9881662', sequence_id=209, task_id='4a6ff681-8875-4a60-9e21-7308193dc327', content=TextContent(author='user', content='Hello what can you do?', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 1, 16, 2, 491008, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭───────────────────────── USER [07/27/2025 01:16:02] ─────────────────────────╮\n",
+       "│ Hello what can you do?                                                       │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [07/27/2025 01:16:02] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n", + "\u001b[96m│\u001b[0m Hello what can you do? \u001b[96m│\u001b[0m\n", + "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 01:16:02] ─────────────────────────╮\n",
+       "│ Hello! I've received your message. I can't respond right now, but in future  │\n",
+       "│ tutorials we'll see how you can get me to intelligently respond to your      │\n",
+       "│ message.                                                                     │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [07/27/2025 01:16:02] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n", + "\u001b[32m│\u001b[0m Hello! I've received your message. I can't respond right now, but in future \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m tutorials we'll see how you can get me to intelligently respond to your \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m message. \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming timed out after 5 seconds - returning collected messages\n" + ] + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=5,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4864e354", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/00_base/010_multiturn/dev.ipynb b/examples/tutorials/10_agentic/00_base/010_multiturn/dev.ipynb new file mode 100644 index 00000000..1ef9b85f --- /dev/null +++ b/examples/tutorials/10_agentic/00_base/010_multiturn/dev.ipynb @@ -0,0 +1,225 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 6, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"ab010-multiturn\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='e5b17323-4b7b-4043-874a-33a64aec8ab1', created_at=datetime.datetime(2025, 7, 27, 1, 16, 34, 635866, tzinfo=TzInfo(UTC)), name='36c97177-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 1, 16, 34, 635866, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='a1835392-e2d7-43a2-a476-aeca90084653', agent_id='079830a3-8402-4b82-a4f6-bac497f87a10', sequence_id=211, task_id='e5b17323-4b7b-4043-874a-33a64aec8ab1', content=TextContent(author='user', content='Hello what can you do?', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 1, 16, 35, 496828, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭───────────────────────── USER [07/27/2025 01:16:35] ─────────────────────────╮\n",
+       "│ Hello what can you do?                                                       │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [07/27/2025 01:16:35] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n", + "\u001b[96m│\u001b[0m Hello what can you do? \u001b[96m│\u001b[0m\n", + "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 01:16:38] ─────────────────────────╮\n",
+       "│ Hello! I can assist you with a variety of tasks, including:                  │\n",
+       "│                                                                              │\n",
+       "│  1 Answering Questions: I can provide information on a wide range of topics, │\n",
+       "│    including science, history, technology, and more.                         │\n",
+       "│  2 Providing Explanations: I can explain complex concepts in simpler terms.  │\n",
+       "│  3 Writing Assistance: I can help with writing essays, articles, or creative │\n",
+       "│    writing, including brainstorming ideas and editing.                       │\n",
+       "│  4 Language Help: I can assist with language learning, grammar questions,    │\n",
+       "│    and translations.                                                         │\n",
+       "│  5 Recommendations: I can offer suggestions for books, movies, or other      │\n",
+       "│    resources based on your interests.                                        │\n",
+       "│  6 Problem Solving: I can help you work through problems, whether they’re    │\n",
+       "│    academic or practical in nature.                                          │\n",
+       "│  7 General Advice: I can offer tips and guidance on various topics, such as  │\n",
+       "│    study techniques or productivity.                                         │\n",
+       "│                                                                              │\n",
+       "│ Feel free to ask me anything specific that you need help with!               │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [07/27/2025 01:16:38] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n", + "\u001b[32m│\u001b[0m Hello! I can assist you with a variety of tasks, including: \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mAnswering Questions\u001b[0m: I can provide information on a wide range of topics, \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mincluding science, history, technology, and more. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mProviding Explanations\u001b[0m: I can explain complex concepts in simpler terms. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mWriting Assistance\u001b[0m: I can help with writing essays, articles, or creative \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mwriting, including brainstorming ideas and editing. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mLanguage Help\u001b[0m: I can assist with language learning, grammar questions, \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mand translations. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mRecommendations\u001b[0m: I can offer suggestions for books, movies, or other \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mresources based on your interests. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 6 \u001b[0m\u001b[1mProblem Solving\u001b[0m: I can help you work through problems, whether they’re \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0macademic or practical in nature. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 7 \u001b[0m\u001b[1mGeneral Advice\u001b[0m: I can offer tips and guidance on various topics, such as \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mstudy techniques or productivity. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m Feel free to ask me anything specific that you need help with! \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming timed out after 5 seconds - returning collected messages\n" + ] + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=5,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8e6c0f4", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/00_base/020_streaming/dev.ipynb b/examples/tutorials/10_agentic/00_base/020_streaming/dev.ipynb new file mode 100644 index 00000000..530e2a27 --- /dev/null +++ b/examples/tutorials/10_agentic/00_base/020_streaming/dev.ipynb @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"ab020-streaming\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b03b0d37", + "metadata": {}, + "outputs": [], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6927cc0", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=5,\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/00_base/030_tracing/dev.ipynb b/examples/tutorials/10_agentic/00_base/030_tracing/dev.ipynb new file mode 100644 index 00000000..56312e50 --- /dev/null +++ b/examples/tutorials/10_agentic/00_base/030_tracing/dev.ipynb @@ -0,0 +1,236 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"ab030-tracing\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='e52ad928-8d6f-431f-a865-c632dfd925bd', created_at=datetime.datetime(2025, 7, 27, 1, 16, 54, 390130, tzinfo=TzInfo(UTC)), name='4c21818b-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 1, 16, 54, 390130, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='8777dbbf-5a48-40ee-9d95-5476223ac759', agent_id='d1771757-da6c-43a3-b6bd-63679456790e', sequence_id=212, task_id='e52ad928-8d6f-431f-a865-c632dfd925bd', content=TextContent(author='user', content='Hello what can you do?', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 1, 16, 54, 847712, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭───────────────────────── USER [07/27/2025 01:16:54] ─────────────────────────╮\n",
+       "│ Hello what can you do?                                                       │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [07/27/2025 01:16:54] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n", + "\u001b[96m│\u001b[0m Hello what can you do? \u001b[96m│\u001b[0m\n", + "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " \r" + ] + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 01:16:54] ─────────────────────────╮\n",
+       "│ Hello! I can assist you with a variety of tasks, including:                  │\n",
+       "│                                                                              │\n",
+       "│  1 Answering Questions: I can provide information on a wide range of topics, │\n",
+       "│    including history, science, technology, literature, and general           │\n",
+       "│    knowledge.                                                                │\n",
+       "│  2 Providing Explanations: I can explain concepts, summarize information, or │\n",
+       "│    help clarify difficult topics.                                            │\n",
+       "│  3 Writing Assistance: I can help you draft emails, essays, articles, or     │\n",
+       "│    creative writing pieces. I can also assist with proofreading and editing. │\n",
+       "│  4 Learning and Study Aid: I can help with study tips, summarizing           │\n",
+       "│    educational materials, and answering homework questions.                  │\n",
+       "│  5 Recommendations: I can suggest books, movies, recipes, or activities      │\n",
+       "│    based on your interests.                                                  │\n",
+       "│  6 Technical Help: I can provide assistance with basic troubleshooting for   │\n",
+       "│    software or digital tools.                                                │\n",
+       "│  7 Conversation: If you just want to chat or discuss a specific topic, I'm   │\n",
+       "│    here for that too!                                                        │\n",
+       "│                                                                              │\n",
+       "│ Let me know how I can assist you today!                                      │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [07/27/2025 01:16:54] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n", + "\u001b[32m│\u001b[0m Hello! I can assist you with a variety of tasks, including: \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mAnswering Questions\u001b[0m: I can provide information on a wide range of topics, \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mincluding history, science, technology, literature, and general \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mknowledge. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mProviding Explanations\u001b[0m: I can explain concepts, summarize information, or \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mhelp clarify difficult topics. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mWriting Assistance\u001b[0m: I can help you draft emails, essays, articles, or \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mcreative writing pieces. I can also assist with proofreading and editing. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mLearning and Study Aid\u001b[0m: I can help with study tips, summarizing \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0meducational materials, and answering homework questions. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mRecommendations\u001b[0m: I can suggest books, movies, recipes, or activities \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mbased on your interests. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 6 \u001b[0m\u001b[1mTechnical Help\u001b[0m: I can provide assistance with basic troubleshooting for \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0msoftware or digital tools. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m 7 \u001b[0m\u001b[1mConversation\u001b[0m: If you just want to chat or discuss a specific topic, I'm \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mhere for that too! \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m Let me know how I can assist you today! \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming timed out after 5 seconds - returning collected messages\n" + ] + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=5,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ad2405b9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/00_base/040_other_sdks/dev.ipynb b/examples/tutorials/10_agentic/00_base/040_other_sdks/dev.ipynb new file mode 100644 index 00000000..05dc443b --- /dev/null +++ b/examples/tutorials/10_agentic/00_base/040_other_sdks/dev.ipynb @@ -0,0 +1,496 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"ab040-other-sdks\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='75c695e6-ba24-4a45-9843-2f6c70a16d79', created_at=datetime.datetime(2025, 7, 27, 1, 25, 7, 352235, tzinfo=TzInfo(UTC)), name='c1b4a675-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 1, 25, 7, 352235, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='de2e5231-53c7-488c-9ecb-9f2605dea9f6', agent_id='cd4b9256-144b-4aef-949b-f9000995013b', sequence_id=217, task_id='75c695e6-ba24-4a45-9843-2f6c70a16d79', content=TextContent(author='user', content='Hello tell me the latest news about AI and AI startups', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 1, 25, 7, 716885, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello tell me the latest news about AI and AI startups\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭───────────────────────── USER [07/27/2025 01:25:07] ─────────────────────────╮\n",
+       "│ Hello tell me the latest news about AI and AI startups                       │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [07/27/2025 01:25:07] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n", + "\u001b[96m│\u001b[0m Hello tell me the latest news about AI and AI startups \u001b[96m│\u001b[0m\n", + "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " \r" + ] + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 01:25:20] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: web_search                                                  │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"input\": \"latest news AI AI startups\",                                    │\n",
+       "│    \"model\": \"gpt-4o\",                                                        │\n",
+       "│    \"type\": \"web_search_preview\",                                             │\n",
+       "│    \"search_context_size\": \"high\"                                             │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
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╭──────────────────────── AGENT [07/27/2025 01:25:20] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: web_search                                                 │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"The artificial intelligence (AI) startup landscape has           │\n",
+       "│  experienced significant developments recently, marked by substantial fundi  │\n",
+       "│  rounds, strategic partnerships, and notable acquisitions.\\n\\n**Major Fundi  │\n",
+       "│  Rounds:**\\n\\n- **Perplexity AI**: This AI search startup secured $100       │\n",
+       "│  million in its latest funding round, elevating its valuation to $18 billio  │\n",
+       "│  The company's rapid growth underscores robust investor interest in the      │\n",
+       "│  competitive AI search market.                                               │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n-       │\n",
+       "│  **Thinking Machines**: Founded by former OpenAI CTO Mira Murati, Thinking   │\n",
+       "│  Machines raised $2 billion, achieving a valuation of $10 billion. The       │\n",
+       "│  startup focuses on developing multimodal AI capable of processing various   │\n",
+       "│  forms of data.                                                              │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n-       │\n",
+       "│  **Anthropic**: Reports indicate that Anthropic is in discussions with       │\n",
+       "│  investors for funding that could value the company at $100 billion,         │\n",
+       "│  following a previous valuation of $61.5 billion after a $3.5 billion        │\n",
+       "│  fundraise earlier this year.                                                │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n**Stra  │\n",
+       "│  gic Investments and Partnerships:**\\n\\n- **Nvidia's Role**: Nvidia has      │\n",
+       "│  solidified its position as a key player in the AI sector, participating in  │\n",
+       "│  numerous funding rounds and supporting the growth of several AI startups.   │\n",
+       "│  Notably, Nvidia invested in Reka AI, contributing to its unicorn status, a  │\n",
+       "│  has been involved in funding rounds for companies like OpenAI, xAI, and     │\n",
+       "│  Scale AI.                                                                   │\n",
+       "│  ([elpais.com](https://elpais.com/economia/2025-07-26/nvidia-el-mayor-gigan  │\n",
+       "│  -bursatil-de-la-historia-que-crea-unicornios-con-la-magia-de-la-ia.html?ut  │\n",
+       "│  source=openai))\\n\\n- **Amazon and Anthropic**: Amazon increased its         │\n",
+       "│  investment in AI startup Anthropic by an additional $4 billion, bringing i  │\n",
+       "│  total investment to $8 billion. This partnership designates Amazon Web      │\n",
+       "│  Services (AWS) as Anthropic's primary training partner, highlighting        │\n",
+       "│  Amazon's commitment to advancing AI technologies.                           │\n",
+       "│  ([apnews.com](https://apnews.com/article/7a5764907e8cf0c23117be9c710e9f6a?  │\n",
+       "│  m_source=openai))\\n\\n**Market Trends:**\\n\\n- **Surge in AI Startup          │\n",
+       "│  Funding**: In the first half of 2025, U.S. startup funding surged by 75.6%  │\n",
+       "│  reaching $162.8 billion, driven largely by the AI boom. AI-related          │\n",
+       "│  investments constituted 64.1% of the total deal value during this period.   │\n",
+       "│  ([reuters.com](https://www.reuters.com/business/us-ai-startups-see-funding  │\n",
+       "│  urge-while-more-vc-funds-struggle-raise-data-shows-2025-07-15/?utm_source=  │\n",
+       "│  enai))\\n\\n- **Global Investment Landscape**: AI startups accounted for 53%  │\n",
+       "│  of all global venture capital investments in the first half of 2025,        │\n",
+       "│  reflecting the significant momentum and investor confidence in the AI       │\n",
+       "│  sector.                                                                     │\n",
+       "│  ([axios.com](https://www.axios.com/2025/07/03/ai-startups-vc-investments?u  │\n",
+       "│  _source=openai))\\n\\n**Notable Acquisitions:**\\n\\n- **OpenAI and Jony Ive's  │\n",
+       "│  Startup**: OpenAI is set to acquire Jony Ive's AI devices startup, io, in   │\n",
+       "│  $6.4 billion all-equity deal. This acquisition marks OpenAI's largest to    │\n",
+       "│  date and signifies its expansion into AI hardware.                          │\n",
+       "│  ([economictimes.indiatimes.com](https://economictimes.indiatimes.com/topic  │\n",
+       "│  i-startups?utm_source=openai))\\n\\nThese developments illustrate the dynami  │\n",
+       "│  and rapidly evolving nature of the AI startup ecosystem, characterized by   │\n",
+       "│  significant financial investments, strategic collaborations, and a strong   │\n",
+       "│  focus on innovation.\\n\\n\\n## Recent Developments in AI Startups:\\n- [Nvidi  │\n",
+       "│  el mayor gigante burs\\u00e1til de la historia que crea unicornios con la    │\n",
+       "│  magia de la                                                                 │\n",
+       "│  IA](https://elpais.com/economia/2025-07-26/nvidia-el-mayor-gigante-bursati  │\n",
+       "│  de-la-historia-que-crea-unicornios-con-la-magia-de-la-ia.html?utm_source=o  │\n",
+       "│  nai)\\n- [US AI startups see funding surge while more VC funds struggle to   │\n",
+       "│  raise, data                                                                 │\n",
+       "│  shows](https://www.reuters.com/business/us-ai-startups-see-funding-surge-w  │\n",
+       "│  le-more-vc-funds-struggle-raise-data-shows-2025-07-15/?utm_source=openai)\\  │\n",
+       "│   [Amazon to invest an additional $4 billion in AI startup                   │\n",
+       "│  Anthropic](https://apnews.com/article/7a5764907e8cf0c23117be9c710e9f6a?utm  │\n",
+       "│  ource=openai) \",                                                            │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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The \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstartup focuses on developing multimodal AI capable of processing various \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mforms of data. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mweek-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m 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\u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mweek-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n**Stra\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgic Investments and Partnerships:**\\n\\n- **Nvidia's Role**: Nvidia has \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msolidified its position as a key player in the AI sector, participating in\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mnumerous funding rounds and supporting the growth of several AI startups. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mNotably, Nvidia invested in Reka AI, contributing to its unicorn status, a\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mhas been involved in funding rounds for companies like OpenAI, xAI, and \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mScale AI. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([elpais.com](https://elpais.com/economia/2025-07-26/nvidia-el-mayor-gigan\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-bursatil-de-la-historia-que-crea-unicornios-con-la-magia-de-la-ia.html?ut\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msource=openai))\\n\\n- **Amazon and Anthropic**: Amazon increased its \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minvestment in AI startup Anthropic by an additional $4 billion, bringing i\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtotal investment to $8 billion. This partnership designates Amazon Web \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mServices (AWS) as Anthropic's primary training partner, highlighting \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAmazon's commitment to advancing AI technologies. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([apnews.com](https://apnews.com/article/7a5764907e8cf0c23117be9c710e9f6a?\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mm_source=openai))\\n\\n**Market Trends:**\\n\\n- **Surge in AI Startup \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mFunding**: In the first half of 2025, U.S. startup funding surged by 75.6%\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreaching $162.8 billion, driven largely by the AI boom. AI-related \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minvestments constituted 64.1% of the total deal value during this period. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/business/us-ai-startups-see-funding\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34murge-while-more-vc-funds-struggle-raise-data-shows-2025-07-15/?utm_source=\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34menai))\\n\\n- **Global Investment Landscape**: AI startups accounted for 53%\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mof all global venture capital investments in the first half of 2025, \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreflecting the significant momentum and investor confidence in the AI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msector. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([axios.com](https://www.axios.com/2025/07/03/ai-startups-vc-investments?u\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m_source=openai))\\n\\n**Notable Acquisitions:**\\n\\n- **OpenAI and Jony Ive's\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mStartup**: OpenAI is set to acquire Jony Ive's AI devices startup, io, in \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m$6.4 billion all-equity deal. This acquisition marks OpenAI's largest to \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdate and signifies its expansion into AI hardware. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([economictimes.indiatimes.com](https://economictimes.indiatimes.com/topic\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mi-startups?utm_source=openai))\\n\\nThese developments illustrate the dynami\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand rapidly evolving nature of the AI startup ecosystem, characterized by \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msignificant financial investments, strategic collaborations, and a strong \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfocus on innovation.\\n\\n\\n## Recent Developments in AI Startups:\\n- [Nvidi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mel mayor gigante burs\\u00e1til de la historia que crea unicornios con la \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmagia de la \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mIA](https://elpais.com/economia/2025-07-26/nvidia-el-mayor-gigante-bursati\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mde-la-historia-que-crea-unicornios-con-la-magia-de-la-ia.html?utm_source=o\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mnai)\\n- [US AI startups see funding surge while more VC funds struggle to \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mraise, data \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mshows](https://www.reuters.com/business/us-ai-startups-see-funding-surge-w\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mle-more-vc-funds-struggle-raise-data-shows-2025-07-15/?utm_source=openai)\\\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m [Amazon to invest an additional $4 billion in AI startup \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAnthropic](https://apnews.com/article/7a5764907e8cf0c23117be9c710e9f6a?utm\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mource=openai) \"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m 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╭──────────────────────── AGENT [07/27/2025 01:25:21] ─────────────────────────╮\n",
+       "│ Here are some of the latest updates in the AI and AI startups ecosystem:     │\n",
+       "│                                                                              │\n",
+       "│                             Major Funding Rounds                             │\n",
+       "│                                                                              │\n",
+       "│  • Perplexity AI: The AI search startup raised $100 million, boosting its    │\n",
+       "│    valuation to $18 billion, reflecting strong investor interest in AI       │\n",
+       "│    search technologies.                                                      │\n",
+       "│  • Thinking Machines: Founded by former OpenAI CTO Mira Murati, it secured   │\n",
+       "│    $2 billion, valuing the company at $10 billion. The startup is working on │\n",
+       "│    multimodal AI.                                                            │\n",
+       "│  • Anthropic: Currently in discussions for a funding round that could value  │\n",
+       "│    it at $100 billion, following a $3.5 billion raise earlier this year.     │\n",
+       "│                                                                              │\n",
+       "│                    Strategic Investments and Partnerships                    │\n",
+       "│                                                                              │\n",
+       "│  • Nvidia: A key AI sector player, Nvidia has participated in various        │\n",
+       "│    funding rounds, including those for OpenAI, xAI, and Scale AI, and        │\n",
+       "│    invested in Reka AI, leading to its unicorn status.                       │\n",
+       "│  • Amazon and Anthropic: Amazon has increased its investment in AI startup   │\n",
+       "│    Anthropic by $4 billion, totaling $8 billion. Amazon Web Services (AWS)   │\n",
+       "│    is Anthropic’s primary training partner.                                  │\n",
+       "│                                                                              │\n",
+       "│                                Market Trends                                 │\n",
+       "│                                                                              │\n",
+       "│  • U.S. Startup Funding: In the first half of 2025, AI-driven funding surged │\n",
+       "│    by 75.6% to $162.8 billion, with AI-related investments forming a         │\n",
+       "│    significant portion.                                                      │\n",
+       "│  • Global VC Investments: AI startups made up 53% of all global venture      │\n",
+       "│    capital investments in the first half of 2025.                            │\n",
+       "│                                                                              │\n",
+       "│                             Notable Acquisitions                             │\n",
+       "│                                                                              │\n",
+       "│  • OpenAI: Set to acquire Jony Ive's AI devices startup, io, for $6.4        │\n",
+       "│    billion in an all-equity deal, marking a move into AI hardware.           │\n",
+       "│                                                                              │\n",
+       "│ These updates reveal a vibrant and rapidly evolving AI startup landscape,    │\n",
+       "│ characterized by significant financial investments, strategic                │\n",
+       "│ collaborations, and innovative development.                                  │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [07/27/2025 01:25:21] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n", + "\u001b[32m│\u001b[0m Here are some of the latest updates in the AI and AI startups ecosystem: \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mMajor Funding Rounds\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPerplexity AI\u001b[0m: The AI search startup raised $100 million, boosting its \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mvaluation to $18 billion, reflecting strong investor interest in AI \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0msearch technologies. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mThinking Machines\u001b[0m: Founded by former OpenAI CTO Mira Murati, it secured \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0m$2 billion, valuing the company at $10 billion. The startup is working on \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mmultimodal AI. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAnthropic\u001b[0m: Currently in discussions for a funding round that could value \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mit at $100 billion, following a $3.5 billion raise earlier this year. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mStrategic Investments and Partnerships\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mNvidia\u001b[0m: A key AI sector player, Nvidia has participated in various \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mfunding rounds, including those for OpenAI, xAI, and Scale AI, and \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0minvested in Reka AI, leading to its unicorn status. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAmazon and Anthropic\u001b[0m: Amazon has increased its investment in AI startup \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mAnthropic by $4 billion, totaling $8 billion. Amazon Web Services (AWS) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mis Anthropic’s primary training partner. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mMarket Trends\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mU.S. Startup Funding\u001b[0m: In the first half of 2025, AI-driven funding surged \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mby 75.6% to $162.8 billion, with AI-related investments forming a \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0msignificant portion. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mGlobal VC Investments\u001b[0m: AI startups made up 53% of all global venture \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mcapital investments in the first half of 2025. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mNotable Acquisitions\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mOpenAI\u001b[0m: Set to acquire Jony Ive's AI devices startup, io, for $6.4 \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mbillion in an all-equity deal, marking a move into AI hardware. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m These updates reveal a vibrant and rapidly evolving AI startup landscape, \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m characterized by significant financial investments, strategic \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m collaborations, and innovative development. \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming timed out after 20 seconds - returning collected messages\n" + ] + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=20,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "593a0a47", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/00_base/080_batch_events/dev.ipynb b/examples/tutorials/10_agentic/00_base/080_batch_events/dev.ipynb new file mode 100644 index 00000000..e2551a5d --- /dev/null +++ b/examples/tutorials/10_agentic/00_base/080_batch_events/dev.ipynb @@ -0,0 +1,230 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"ab080-batch-events\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='83aeec42-3e63-4652-aff5-506252e7cb67', created_at=datetime.datetime(2025, 7, 27, 5, 56, 44, 321516, tzinfo=TzInfo(UTC)), name='776014ce-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 5, 56, 44, 321516, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='f83319aa-6f63-4495-be1e-6ca52595e865', agent_id='406f9f42-9f3f-4bb2-869c-d6b36028e487', sequence_id=225, task_id='83aeec42-3e63-4652-aff5-506252e7cb67', content=TextContent(author='user', content='Hello, what can you do?', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 0, 8, 557860, tzinfo=TzInfo(UTC)))\n", + "Event(id='be4b68b3-991a-4dfe-8be5-31f1cc032ef1', agent_id='406f9f42-9f3f-4bb2-869c-d6b36028e487', sequence_id=226, task_id='83aeec42-3e63-4652-aff5-506252e7cb67', content=TextContent(author='user', content='Can you tell me a joke?', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 0, 8, 615897, tzinfo=TzInfo(UTC)))\n", + "Event(id='3001a88f-de80-44bf-b2ff-686428da043b', agent_id='406f9f42-9f3f-4bb2-869c-d6b36028e487', sequence_id=227, task_id='83aeec42-3e63-4652-aff5-506252e7cb67', content=TextContent(author='user', content='What is the capital of France?', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 0, 8, 665333, tzinfo=TzInfo(UTC)))\n", + "Event(id='49ca99da-1c88-41f3-abea-91845cd927d5', agent_id='406f9f42-9f3f-4bb2-869c-d6b36028e487', sequence_id=228, task_id='83aeec42-3e63-4652-aff5-506252e7cb67', content=TextContent(author='user', content='Write a short story about a cat', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 0, 8, 704690, tzinfo=TzInfo(UTC)))\n", + "Event(id='da567964-5fa6-419d-a573-66e673f18669', agent_id='406f9f42-9f3f-4bb2-869c-d6b36028e487', sequence_id=229, task_id='83aeec42-3e63-4652-aff5-506252e7cb67', content=TextContent(author='user', content='Tell me how an LLM works', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 0, 8, 748329, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "from agentex.types.agent_rpc_params import ParamsSendEventRequest\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "concurrent_event_messages: list[ParamsSendEventRequest] = [\n", + " {\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello, what can you do?\"},\n", + " \"task_id\": task.id,\n", + " },\n", + " {\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Can you tell me a joke?\"},\n", + " \"task_id\": task.id,\n", + " },\n", + " {\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"What is the capital of France?\"},\n", + " \"task_id\": task.id,\n", + " },\n", + " {\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Write a short story about a cat\"},\n", + " \"task_id\": task.id,\n", + " },\n", + " {\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Tell me how an LLM works\"},\n", + " \"task_id\": task.id,\n", + " },\n", + "]\n", + "\n", + "events: list[Event] = []\n", + "\n", + "for event_message in concurrent_event_messages:\n", + " rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params=event_message\n", + " )\n", + "\n", + " event = cast(Event, rpc_response.result)\n", + " events.append(event)\n", + "\n", + "for event in events:\n", + " print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 06:00:18] ─────────────────────────╮\n",
+       "│ Processed event IDs: ['f83319aa-6f63-4495-be1e-6ca52595e865',                │\n",
+       "│ 'be4b68b3-991a-4dfe-8be5-31f1cc032ef1']                                      │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [07/27/2025 06:00:18] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n", + "\u001b[32m│\u001b[0m Processed event IDs: ['f83319aa-6f63-4495-be1e-6ca52595e865', \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m 'be4b68b3-991a-4dfe-8be5-31f1cc032ef1'] \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 06:00:33] ─────────────────────────╮\n",
+       "│ Processed event IDs: ['3001a88f-de80-44bf-b2ff-686428da043b',                │\n",
+       "│ '49ca99da-1c88-41f3-abea-91845cd927d5',                                      │\n",
+       "│ 'da567964-5fa6-419d-a573-66e673f18669']                                      │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [07/27/2025 06:00:33] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n", + "\u001b[32m│\u001b[0m Processed event IDs: ['3001a88f-de80-44bf-b2ff-686428da043b', \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m '49ca99da-1c88-41f3-abea-91845cd927d5', \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m 'da567964-5fa6-419d-a573-66e673f18669'] \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming timed out after 20 seconds - returning collected messages\n" + ] + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=20,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "593a0a47", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/10_temporal/000_hello_acp/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/000_hello_acp/dev.ipynb new file mode 100644 index 00000000..a7806201 --- /dev/null +++ b/examples/tutorials/10_agentic/10_temporal/000_hello_acp/dev.ipynb @@ -0,0 +1,197 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"at000-hello-acp\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='908547e1-5796-48c4-8b72-b02366025584', created_at=datetime.datetime(2025, 7, 27, 6, 2, 40, 117494, tzinfo=TzInfo(UTC)), name='4f1591db-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 6, 2, 40, 117494, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='84a84d4c-d3e7-4e58-801c-ac1bafcefcff', agent_id='1f6cd429-4e4a-4884-b449-72a1f2740393', sequence_id=230, task_id='908547e1-5796-48c4-8b72-b02366025584', content=TextContent(author='user', content='Hello what can you do?', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 2, 46, 253653, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭───────────────────────── USER [07/27/2025 06:02:46] ─────────────────────────╮\n",
+       "│ Hello what can you do?                                                       │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [07/27/2025 06:02:46] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n", + "\u001b[96m│\u001b[0m Hello what can you do? \u001b[96m│\u001b[0m\n", + "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 06:02:46] ─────────────────────────╮\n",
+       "│ Hello! I've received your message. I can't respond right now, but in future  │\n",
+       "│ tutorials we'll see how you can get me to intelligently respond to your      │\n",
+       "│ message.                                                                     │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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I can't respond right now, but in future \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m tutorials we'll see how you can get me to intelligently respond to your \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m message. \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming timed out after 5 seconds - returning collected messages\n" + ] + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=5,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b60701ae", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb new file mode 100644 index 00000000..7721747f --- /dev/null +++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb @@ -0,0 +1,461 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"at010-agent-chat\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='4f06d705-24e8-4008-ad90-693072386cc5', created_at=datetime.datetime(2025, 7, 27, 6, 4, 37, 584907, tzinfo=TzInfo(UTC)), name='f282773f-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 6, 4, 37, 584907, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='ce9ba762-9db3-4779-906c-9acec68c1f9e', agent_id='04a102f4-984c-4deb-8402-b9d491074a4a', sequence_id=232, task_id='4f06d705-24e8-4008-ad90-693072386cc5', content=TextContent(author='user', content='Hello tell me the latest news about AI and AI startups', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 4, 38, 128727, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello tell me the latest news about AI and AI startups\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭───────────────────────── USER [07/27/2025 06:04:38] ─────────────────────────╮\n",
+       "│ Hello tell me the latest news about AI and AI startups                       │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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╭──────────────────────── AGENT [07/27/2025 06:04:47] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: web_search                                                  │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"input\": \"latest news about AI and AI startups\",                          │\n",
+       "│    \"model\": \"gpt-4o-mini\",                                                   │\n",
+       "│    \"type\": \"web_search_preview\"                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
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╭──────────────────────── AGENT [07/27/2025 06:04:47] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: web_search                                                 │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Artificial intelligence (AI) continues to be a dynamic and       │\n",
+       "│  rapidly evolving sector, with significant developments in both global       │\n",
+       "│  initiatives and startup activities.\\n\\n**Global AI Initiatives**\\n\\nChina   │\n",
+       "│  has proposed the establishment of a new international organization aimed a  │\n",
+       "│  promoting global cooperation in AI. This initiative seeks to provide an     │\n",
+       "│  alternative to U.S.-led efforts and foster inclusive development of AI      │\n",
+       "│  technologies. Premier Li Qiang announced the proposal at the World          │\n",
+       "│  Artificial Intelligence Conference in Shanghai, emphasizing equitable acce  │\n",
+       "│  to AI for all nations, particularly those in the Global South. The plan     │\n",
+       "│  includes hosting the organization's headquarters in Shanghai and involves   │\n",
+       "│  collaboration among governments, industry leaders, and academics worldwide  │\n",
+       "│  ([reuters.com](https://www.reuters.com/world/china/china-proposes-new-glob  │\n",
+       "│  -ai-cooperation-organisation-2025-07-26/?utm_source=openai))\\n\\n**AI Start  │\n",
+       "│  Funding and Developments**\\n\\nThe AI startup ecosystem is experiencing      │\n",
+       "│  unprecedented growth, with substantial investments and valuations:\\n\\n-     │\n",
+       "│  **Perplexity**: This AI search startup has achieved a valuation of $18      │\n",
+       "│  billion following a $100 million funding round, reflecting strong investor  │\n",
+       "│  confidence in the competitive AI search market.                             │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n-       │\n",
+       "│  **Thinking Machines**: Founded by former OpenAI CTO Mira Murati, Thinking   │\n",
+       "│  Machines has raised $2 billion, valuing the startup at $10 billion. The     │\n",
+       "│  company plans to unveil its first product soon, featuring a significant     │\n",
+       "│  open-source component to support researchers and startups developing custo  │\n",
+       "│  models.                                                                     │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n-       │\n",
+       "│  **Anthropic**: Reports indicate that Anthropic is being approached by       │\n",
+       "│  investors whose funding offers could value the startup at $100 billion,     │\n",
+       "│  highlighting the growing interest in AI safety and ethics.                  │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n-       │\n",
+       "│  **Mistral AI**: The French AI startup, specializing in open-weight large    │\n",
+       "│  language models, secured \\u20ac600 million in funding in June 2024,         │\n",
+       "│  elevating its valuation to \\u20ac5.8 billion. This positions Mistral as a   │\n",
+       "│  significant player in the global AI race, particularly outside the San      │\n",
+       "│  Francisco Bay Area.                                                         │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/Mistral_AI?utm_source=op  │\n",
+       "│  ai))\\n\\n- **Applied Intuition**: In June 2025, Applied Intuition achieved   │\n",
+       "│  $15 billion valuation after completing a $600 million Series F funding      │\n",
+       "│  round. The company specializes in AI software for autonomous systems and h  │\n",
+       "│  partnered with automotive manufacturers like Porsche and Audi to develop    │\n",
+       "│  next-generation advanced driver-assistance systems (ADAS).                  │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/Applied_Intuition?utm_so  │\n",
+       "│  ce=openai))\\n\\n**AI in Venture Capital**\\n\\nAI startups are increasingly    │\n",
+       "│  dominating venture capital investments:\\n\\n- In the first half of 2025, AI  │\n",
+       "│  startups accounted for 53% of all global venture capital investments,       │\n",
+       "│  according to PitchBook.                                                     │\n",
+       "│  ([axios.com](https://www.axios.com/2025/07/03/ai-startups-vc-investments?u  │\n",
+       "│  _source=openai))\\n\\n- Despite this surge, capital has become concentrated,  │\n",
+       "│  with over a third of U.S. VC funds in Q2 going to just five companies.      │\n",
+       "│  ([axios.com](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e8  │\n",
+       "│  44f2-9308-212d8860b6aa?utm_source=openai))\\n\\nThese developments underscor  │\n",
+       "│  the transformative impact of AI across various sectors and highlight the    │\n",
+       "│  sector's rapid growth and investment potential.\\n\\n\\n## Recent Development  │\n",
+       "│  in AI Startups and Global Initiatives:\\n- [China proposes new global AI     │\n",
+       "│  cooperation                                                                 │\n",
+       "│  organisation](https://www.reuters.com/world/china/china-proposes-new-globa  │\n",
+       "│  ai-cooperation-organisation-2025-07-26/?utm_source=openai)\\n- [US AI        │\n",
+       "│  startups see funding surge while more VC funds struggle to raise, data      │\n",
+       "│  shows](https://www.reuters.com/business/us-ai-startups-see-funding-surge-w  │\n",
+       "│  le-more-vc-funds-struggle-raise-data-shows-2025-07-15/?utm_source=openai)\\  │\n",
+       "│   [Axios Pro Rata: AI eats                                                   │\n",
+       "│  VC](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e82-44f2-93  │\n",
+       "│  -212d8860b6aa?utm_source=openai) \",                                         │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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This initiative seeks to provide an \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34malternative to U.S.-led efforts and foster inclusive development of AI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtechnologies. Premier Li Qiang announced the proposal at the World \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mArtificial Intelligence Conference in Shanghai, emphasizing equitable acce\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mto AI for all nations, particularly those in the Global South. The plan \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mincludes hosting the organization's headquarters in Shanghai and involves \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcollaboration among governments, industry leaders, and academics worldwide\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/world/china/china-proposes-new-glob\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-ai-cooperation-organisation-2025-07-26/?utm_source=openai))\\n\\n**AI Start\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mFunding and Developments**\\n\\nThe AI startup ecosystem is experiencing \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34munprecedented growth, with substantial investments and valuations:\\n\\n- \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Perplexity**: This AI search startup has achieved a valuation of $18 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mbillion following a $100 million funding round, reflecting strong investor\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mconfidence in the competitive AI search market. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mweek-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Thinking Machines**: Founded by former OpenAI CTO Mira Murati, Thinking \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mMachines has raised $2 billion, valuing the startup at $10 billion. The \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcompany plans to unveil its first product soon, featuring a significant \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mopen-source component to support researchers and startups developing custo\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmodels. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mweek-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Anthropic**: Reports indicate that Anthropic is being approached by \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minvestors whose funding offers could value the startup at $100 billion, \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mhighlighting the growing interest in AI safety and ethics. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mweek-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Mistral AI**: The French AI startup, specializing in open-weight large \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlanguage models, secured \\u20ac600 million in funding in June 2024, \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34melevating its valuation to \\u20ac5.8 billion. This positions Mistral as a \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msignificant player in the global AI race, particularly outside the San \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mFrancisco Bay Area. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/Mistral_AI?utm_source=op\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mai))\\n\\n- **Applied Intuition**: In June 2025, Applied Intuition achieved \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m$15 billion valuation after completing a $600 million Series F funding \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mround. The company specializes in AI software for autonomous systems and h\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mpartnered with automotive manufacturers like Porsche and Audi to develop \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mnext-generation advanced driver-assistance systems (ADAS). \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/Applied_Intuition?utm_so\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mce=openai))\\n\\n**AI in Venture Capital**\\n\\nAI startups are increasingly \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdominating venture capital investments:\\n\\n- In the first half of 2025, AI\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstartups accounted for 53% of all global venture capital investments, \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34maccording to PitchBook. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([axios.com](https://www.axios.com/2025/07/03/ai-startups-vc-investments?u\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m_source=openai))\\n\\n- Despite this surge, capital has become concentrated,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mwith over a third of U.S. VC funds in Q2 going to just five companies. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([axios.com](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e8\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m44f2-9308-212d8860b6aa?utm_source=openai))\\n\\nThese developments underscor\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthe transformative impact of AI across various sectors and highlight the \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msector's rapid growth and investment potential.\\n\\n\\n## Recent Development\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34min AI Startups and Global Initiatives:\\n- [China proposes new global AI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcooperation \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morganisation](https://www.reuters.com/world/china/china-proposes-new-globa\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mai-cooperation-organisation-2025-07-26/?utm_source=openai)\\n- [US AI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstartups see funding surge while more VC funds struggle to raise, data \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mshows](https://www.reuters.com/business/us-ai-startups-see-funding-surge-w\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mle-more-vc-funds-struggle-raise-data-shows-2025-07-15/?utm_source=openai)\\\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m [Axios Pro Rata: AI eats \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mVC](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e82-44f2-93\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-212d8860b6aa?utm_source=openai) \"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " \r" + ] + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 06:04:49] ─────────────────────────╮\n",
+       "│ Here's the latest news about AI and AI startups:                             │\n",
+       "│                                                                              │\n",
+       "│                            Global AI Initiatives                             │\n",
+       "│                                                                              │\n",
+       "│  • China's Proposal: China has proposed the creation of a new international  │\n",
+       "│    organization for AI cooperation. This aims to promote global              │\n",
+       "│    collaboration, with headquarters potentially in Shanghai. The goal is to  │\n",
+       "│    ensure equitable AI access and development, particularly benefiting       │\n",
+       "│    nations in the Global South. (Source)                                     │\n",
+       "│                                                                              │\n",
+       "│                           AI Startup Developments                            │\n",
+       "│                                                                              │\n",
+       "│  • Perplexity: An AI search startup, Perplexity, is valued at $18 billion    │\n",
+       "│    after a $100 million funding round. (Source)                              │\n",
+       "│  • Thinking Machines: Founded by former OpenAI CTO Mira Murati, this startup │\n",
+       "│    raised $2 billion, reaching a $10 billion valuation. It plans to launch   │\n",
+       "│    its first product with a significant open-source component. (Source)      │\n",
+       "│  • Anthropic: Investors are reportedly interested in valuing this AI         │\n",
+       "│    safety-focused startup at $100 billion. (Source)                          │\n",
+       "│  • Mistral AI: This French startup raised €600 million, achieving a          │\n",
+       "│    valuation of €5.8 billion. It focuses on open-weight large language       │\n",
+       "│    models. (Source)                                                          │\n",
+       "│  • Applied Intuition: Specializing in AI for autonomous systems, it reached  │\n",
+       "│    a $15 billion valuation after a $600 million funding round. (Source)      │\n",
+       "│                                                                              │\n",
+       "│                            AI in Venture Capital                             │\n",
+       "│                                                                              │\n",
+       "│  • Investment Surge: In 2025, AI startups accounted for 53% of global        │\n",
+       "│    venture capital investments. However, more than a third of U.S. VC funds  │\n",
+       "│    were directed to just five companies. (Source)                            │\n",
+       "│                                                                              │\n",
+       "│ These highlights reveal the dynamic growth and transformative impact of AI   │\n",
+       "│ across sectors globally.                                                     │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [07/27/2025 06:04:49] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n", + "\u001b[32m│\u001b[0m Here's the latest news about AI and AI startups: \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mGlobal AI Initiatives\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mChina's Proposal:\u001b[0m China has proposed the creation of a new international \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0morganization for AI cooperation. This aims to promote global \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mcollaboration, with headquarters potentially in Shanghai. The goal is to \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mensure equitable AI access and development, particularly benefiting \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mnations in the Global South. (\u001b]8;id=31401;https://www.reuters.com/world/china/china-proposes-new-global-ai-cooperation-organisation-2025-07-26/?utm_source=openai\u001b\\\u001b[4;34mSource\u001b[0m\u001b]8;;\u001b\\) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mAI Startup Developments\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPerplexity:\u001b[0m An AI search startup, Perplexity, is valued at $18 billion \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mafter a $100 million funding round. (\u001b]8;id=615514;https://www.pymnts.com/news/artificial-intelligence/2025/this-week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai\u001b\\\u001b[4;34mSource\u001b[0m\u001b]8;;\u001b\\) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mThinking Machines:\u001b[0m Founded by former OpenAI CTO Mira Murati, this startup \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mraised $2 billion, reaching a $10 billion valuation. It plans to launch \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mits first product with a significant open-source component. (\u001b]8;id=877122;https://www.pymnts.com/news/artificial-intelligence/2025/this-week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai\u001b\\\u001b[4;34mSource\u001b[0m\u001b]8;;\u001b\\) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAnthropic:\u001b[0m Investors are reportedly interested in valuing this AI \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0msafety-focused startup at $100 billion. (\u001b]8;id=634141;https://www.pymnts.com/news/artificial-intelligence/2025/this-week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai\u001b\\\u001b[4;34mSource\u001b[0m\u001b]8;;\u001b\\) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mMistral AI:\u001b[0m This French startup raised €600 million, achieving a \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mvaluation of €5.8 billion. It focuses on open-weight large language \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mmodels. (\u001b]8;id=894816;https://en.wikipedia.org/wiki/Mistral_AI?utm_source=openai\u001b\\\u001b[4;34mSource\u001b[0m\u001b]8;;\u001b\\) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mApplied Intuition:\u001b[0m Specializing in AI for autonomous systems, it reached \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0ma $15 billion valuation after a $600 million funding round. (\u001b]8;id=900026;https://en.wikipedia.org/wiki/Applied_Intuition?utm_source=openai\u001b\\\u001b[4;34mSource\u001b[0m\u001b]8;;\u001b\\) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mAI in Venture Capital\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mInvestment Surge:\u001b[0m In 2025, AI startups accounted for 53% of global \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mventure capital investments. However, more than a third of U.S. VC funds \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mwere directed to just five companies. (\u001b]8;id=854031;https://www.axios.com/2025/07/03/ai-startups-vc-investments?utm_source=openai\u001b\\\u001b[4;34mSource\u001b[0m\u001b]8;;\u001b\\) \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m These highlights reveal the dynamic growth and transformative impact of AI \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m across sectors globally. \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=20,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "557ce4b1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/10_agentic/10_temporal/020_state_machine/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/020_state_machine/dev.ipynb new file mode 100644 index 00000000..e6c2841c --- /dev/null +++ b/examples/tutorials/10_agentic/10_temporal/020_state_machine/dev.ipynb @@ -0,0 +1,555 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"at020-state-machine\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task(id='09121bce-e4d6-452d-82be-7bb9de75a24e', created_at=datetime.datetime(2025, 7, 27, 6, 3, 27, 74360, tzinfo=TzInfo(UTC)), name='2191ef3a-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 7, 27, 6, 3, 27, 74360, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b03b0d37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Event(id='b379c00e-b30a-4808-b0fe-4c6ffa6acd5b', agent_id='8e8d7d03-214f-4163-97b4-ce687ce9923f', sequence_id=231, task_id='09121bce-e4d6-452d-82be-7bb9de75a24e', content=TextContent(author='user', content='Hello tell me the latest news about AI and AI startups', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 7, 27, 6, 3, 27, 572883, tzinfo=TzInfo(UTC)))\n" + ] + } + ], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello tell me the latest news about AI and AI startups\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a6927cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
╭───────────────────────── USER [07/27/2025 06:03:27] ─────────────────────────╮\n",
+       "│ Hello tell me the latest news about AI and AI startups                       │\n",
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╭──────────────────────── AGENT [07/27/2025 06:03:31] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: web_search                                                  │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"input\": \"latest news about AI and AI startups\",                          │\n",
+       "│    \"user_location\": {                                                        │\n",
+       "│      \"type\": \"approximate\",                                                  │\n",
+       "│      \"city\": \"New York\",                                                     │\n",
+       "│      \"country\": \"USA\",                                                       │\n",
+       "│      \"region\": \"NY\",                                                         │\n",
+       "│      \"timezone\": \"America/New_York\"                                          │\n",
+       "│    }                                                                         │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
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╭──────────────────────── AGENT [07/27/2025 06:03:31] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: web_search                                                 │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Error executing tool web_search: Error code: 400 - {'error':     │\n",
+       "│  {'message': \\\"Invalid input USA: 'country' must be an ISO 3166-1 code       │\n",
+       "│  (https://en.wikipedia.org/wiki/ISO_3166-1).\\\", 'type':                      │\n",
+       "│  'invalid_request_error', 'param': 'tools', 'code': None}}\",                 │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
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╭──────────────────────── AGENT [07/27/2025 06:03:39] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: web_search                                                  │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"input\": \"latest news about AI and AI startups\",                          │\n",
+       "│    \"user_location\": {                                                        │\n",
+       "│      \"type\": \"approximate\",                                                  │\n",
+       "│      \"city\": \"New York\",                                                     │\n",
+       "│      \"country\": \"US\",                                                        │\n",
+       "│      \"region\": \"NY\",                                                         │\n",
+       "│      \"timezone\": \"America/New_York\"                                          │\n",
+       "│    }                                                                         │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
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╭──────────────────────── AGENT [07/27/2025 06:03:39] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: web_search                                                 │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Artificial intelligence (AI) continues to be a dynamic sector,   │\n",
+       "│  with numerous startups making significant strides in technology developmen  │\n",
+       "│  and securing substantial funding. Here's an overview of recent              │\n",
+       "│  developments:\\n\\n**Major Funding Rounds:**\\n\\n- **Perplexity AI:** This AI  │\n",
+       "│  search startup has achieved a valuation of $18 billion following a $100     │\n",
+       "│  million funding round, reflecting strong investor interest in the           │\n",
+       "│  competitive AI search market.                                               │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n-       │\n",
+       "│  **Thinking Machines:** Founded by former OpenAI CTO Mira Murati, this       │\n",
+       "│  startup raised $2 billion, valuing the company at $10 billion.              │\n",
+       "│  ([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi  │\n",
+       "│  week-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n-       │\n",
+       "│  **Harvey:** Specializing in AI-driven legal solutions, Harvey secured $300  │\n",
+       "│  million in a Series D funding round, bringing its valuation to $3 billion.  │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/Harvey_%28software%29?ut  │\n",
+       "│  source=openai))\\n\\n**Notable Acquisitions:**\\n\\n- **Amazon's Acquisition o  │\n",
+       "│  Bee:** Amazon announced plans to acquire Bee, a San Francisco-based startu  │\n",
+       "│  developing AI-powered wearable technology. Bee's flagship product is a $50  │\n",
+       "│  AI-enabled wristband capable of transcribing conversations and generating   │\n",
+       "│  summaries or to-do lists from the recordings.                               │\n",
+       "│  ([reuters.com](https://www.reuters.com/business/retail-consumer/amazon-buy  │\n",
+       "│  tartup-focused-ai-wearables-2025-07-22/?utm_source=openai))\\n\\n**Industry   │\n",
+       "│  Trends:**\\n\\n- **AI Dominates Venture Capital Funding:** In the first half  │\n",
+       "│  of 2025, AI startups accounted for 53% of global venture capital            │\n",
+       "│  investments, with 64% in the U.S., indicating a transformative period for   │\n",
+       "│  tech investment.                                                            │\n",
+       "│  ([axios.com](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e8  │\n",
+       "│  44f2-9308-212d8860b6aa?utm_source=openai))\\n\\n- **China's AI Cooperation    │\n",
+       "│  Initiative:** China proposed the creation of a new international            │\n",
+       "│  organization to promote global cooperation on AI, aiming to provide an      │\n",
+       "│  alternative to U.S.-led initiatives and foster inclusive development of th  │\n",
+       "│  technology.                                                                 │\n",
+       "│  ([reuters.com](https://www.reuters.com/world/china/china-proposes-new-glob  │\n",
+       "│  -ai-cooperation-organisation-2025-07-26/?utm_source=openai))\\n\\n**Emerging  │\n",
+       "│  Startups:**\\n\\n- **Mistral AI:** Founded in 2023, Mistral AI specializes i  │\n",
+       "│  open-weight large language models and has secured significant funding,      │\n",
+       "│  including a \\u20ac600 million round in June 2024, elevating its valuation   │\n",
+       "│  \\u20ac5.8 billion.                                                          │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/Mistral_AI?utm_source=op  │\n",
+       "│  ai))\\n\\n- **Neysa:** Established in 2023, Neysa provides a cloud platform   │\n",
+       "│  for AI acceleration and high-performance computing infrastructure services  │\n",
+       "│  raising a total of $50 million across two major funding rounds.             │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/Neysa?utm_source=openai)  │\n",
+       "│  n\\n\\n## Recent Developments in AI Startups:\\n- [Amazon to buy startup       │\n",
+       "│  focused on AI                                                               │\n",
+       "│  wearables](https://www.reuters.com/business/retail-consumer/amazon-buy-sta  │\n",
+       "│  up-focused-ai-wearables-2025-07-22/?utm_source=openai), Published on        │\n",
+       "│  Tuesday, July 22\\n- [Axios Pro Rata: AI eats                                │\n",
+       "│  VC](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e82-44f2-93  │\n",
+       "│  -212d8860b6aa?utm_source=openai), Published on Thursday, July 03\\n- [China  │\n",
+       "│  proposes new global AI cooperation                                          │\n",
+       "│  organisation](https://www.reuters.com/world/china/china-proposes-new-globa  │\n",
+       "│  ai-cooperation-organisation-2025-07-26/?utm_source=openai), Published on    │\n",
+       "│  Saturday, July 26 \",                                                        │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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Here's an overview of recent \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdevelopments:\\n\\n**Major Funding Rounds:**\\n\\n- **Perplexity AI:** This AI\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msearch startup has achieved a valuation of $18 billion following a $100 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmillion funding round, reflecting strong investor interest in the \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcompetitive AI search market. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mweek-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Thinking Machines:** Founded by former OpenAI CTO Mira Murati, this \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstartup raised $2 billion, valuing the company at $10 billion. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([pymnts.com](https://www.pymnts.com/news/artificial-intelligence/2025/thi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mweek-in-ai-ai-startups-hit-fundraising-gold/?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Harvey:** Specializing in AI-driven legal solutions, Harvey secured $300\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmillion in a Series D funding round, bringing its valuation to $3 billion.\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/Harvey_%28software%29?ut\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msource=openai))\\n\\n**Notable Acquisitions:**\\n\\n- **Amazon's Acquisition o\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mBee:** Amazon announced plans to acquire Bee, a San Francisco-based startu\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdeveloping AI-powered wearable technology. Bee's flagship product is a $50\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAI-enabled wristband capable of transcribing conversations and generating \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msummaries or to-do lists from the recordings. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/business/retail-consumer/amazon-buy\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtartup-focused-ai-wearables-2025-07-22/?utm_source=openai))\\n\\n**Industry \u001b[0m\u001b[48;2;39;40;34m 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\u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([axios.com](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e8\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m44f2-9308-212d8860b6aa?utm_source=openai))\\n\\n- **China's AI Cooperation \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mInitiative:** China proposed the creation of a new international \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morganization to promote global cooperation on AI, aiming to provide an \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34malternative to U.S.-led initiatives and foster inclusive development of th\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtechnology. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/world/china/china-proposes-new-glob\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-ai-cooperation-organisation-2025-07-26/?utm_source=openai))\\n\\n**Emerging\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mStartups:**\\n\\n- **Mistral AI:** Founded in 2023, Mistral AI specializes i\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mopen-weight large language models and has secured significant funding, \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mincluding a \\u20ac600 million round in June 2024, elevating its valuation \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\\u20ac5.8 billion. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/Mistral_AI?utm_source=op\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mai))\\n\\n- **Neysa:** Established in 2023, Neysa provides a cloud platform \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfor AI acceleration and high-performance computing infrastructure services\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mraising a total of $50 million across two major funding rounds. \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/Neysa?utm_source=openai)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mn\\n\\n## Recent Developments in AI Startups:\\n- [Amazon to buy startup \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfocused on AI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mwearables](https://www.reuters.com/business/retail-consumer/amazon-buy-sta\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mup-focused-ai-wearables-2025-07-22/?utm_source=openai), Published on \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mTuesday, July 22\\n- [Axios Pro Rata: AI eats \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mVC](https://www.axios.com/newsletters/axios-pro-rata-d4299627-1e82-44f2-93\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-212d8860b6aa?utm_source=openai), Published on Thursday, July 03\\n- [China\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproposes new global AI cooperation \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34morganisation](https://www.reuters.com/world/china/china-proposes-new-globa\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mai-cooperation-organisation-2025-07-26/?utm_source=openai), Published on \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSaturday, July 26 \"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m 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"\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n", + "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
╭──────────────────────── AGENT [07/27/2025 06:03:40] ─────────────────────────╮\n",
+       "│ Here's the latest news about AI and AI startups:                             │\n",
+       "│                                                                              │\n",
+       "│                            Major Funding Rounds:                             │\n",
+       "│                                                                              │\n",
+       "│  • Perplexity AI: This AI search startup has secured a $100 million funding  │\n",
+       "│    round, bringing its valuation to $18 billion. This reflects the strong    │\n",
+       "│    interest in AI search technology.                                         │\n",
+       "│  • Thinking Machines: Founded by former OpenAI CTO Mira Murati, this startup │\n",
+       "│    raised $2 billion, with a valuation reaching $10 billion.                 │\n",
+       "│  • Harvey: Specializing in AI-driven legal solutions, Harvey raised $300     │\n",
+       "│    million in a Series D round, resulting in a valuation of $3 billion.      │\n",
+       "│                                                                              │\n",
+       "│                            Notable Acquisitions:                             │\n",
+       "│                                                                              │\n",
+       "│  • Amazon's Acquisition of Bee: Amazon plans to acquire Bee, a San           │\n",
+       "│    Francisco-based startup focused on AI-powered wearables. Bee’s flagship   │\n",
+       "│    product is an AI-enabled wristband priced at $50 that can transcribe      │\n",
+       "│    conversations and generate summaries or to-do lists.                      │\n",
+       "│                                                                              │\n",
+       "│                               Industry Trends:                               │\n",
+       "│                                                                              │\n",
+       "│  • AI Venture Capital Dominance: In the first half of 2025, AI startups      │\n",
+       "│    accounted for 53% of global venture capital investments, with a           │\n",
+       "│    significant portion (64%) in the U.S.                                     │\n",
+       "│  • China's AI Cooperation Initiative: China has proposed creating a new      │\n",
+       "│    international organization to promote global AI cooperation, aiming to    │\n",
+       "│    foster inclusive development and provide an alternative to U.S.-led       │\n",
+       "│    initiatives.                                                              │\n",
+       "│                                                                              │\n",
+       "│                              Emerging Startups:                              │\n",
+       "│                                                                              │\n",
+       "│  • Mistral AI: Specializing in open-weight large language models, Mistral AI │\n",
+       "│    has secured significant funding, including €600 million in June 2024,     │\n",
+       "│    with a valuation now at €5.8 billion.                                     │\n",
+       "│  • Neysa: Offering a cloud platform for AI acceleration, Neysa has raised a  │\n",
+       "│    total of $50 million across two major funding rounds.                     │\n",
+       "│                                                                              │\n",
+       "│ For more details, you may visit their respective announcements on sites like │\n",
+       "│ Reuters, Wikipedia, and Axios.                                               │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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This reflects the strong \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0minterest in AI search technology. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mThinking Machines\u001b[0m: Founded by former OpenAI CTO Mira Murati, this startup \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mraised $2 billion, with a valuation reaching $10 billion. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mHarvey\u001b[0m: Specializing in AI-driven legal solutions, Harvey raised $300 \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mmillion in a Series D round, resulting in a valuation of $3 billion. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mNotable Acquisitions:\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAmazon's Acquisition of Bee\u001b[0m: Amazon plans to acquire Bee, a San \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mFrancisco-based startup focused on AI-powered wearables. Bee’s flagship \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mproduct is an AI-enabled wristband priced at $50 that can transcribe \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mconversations and generate summaries or to-do lists. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mIndustry Trends:\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAI Venture Capital Dominance\u001b[0m: In the first half of 2025, AI startups \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0maccounted for 53% of global venture capital investments, with a \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0msignificant portion (64%) in the U.S. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mChina's AI Cooperation Initiative\u001b[0m: China has proposed creating a new \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0minternational organization to promote global AI cooperation, aiming to \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mfoster inclusive development and provide an alternative to U.S.-led \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0minitiatives. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1mEmerging Startups:\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mMistral AI\u001b[0m: Specializing in open-weight large language models, Mistral AI \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mhas secured significant funding, including €600 million in June 2024, \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mwith a valuation now at €5.8 billion. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mNeysa\u001b[0m: Offering a cloud platform for AI acceleration, Neysa has raised a \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[1;33m \u001b[0mtotal of $50 million across two major funding rounds. \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m For more details, you may visit their respective announcements on sites like \u001b[32m│\u001b[0m\n", + "\u001b[32m│\u001b[0m Reuters, Wikipedia, and Axios. \u001b[32m│\u001b[0m\n", + "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Streaming timed out after 20 seconds - returning collected messages\n" + ] + } + ], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=20,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec2b599d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyproject.toml b/pyproject.toml index 24778438..bd3800a6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -121,6 +121,12 @@ typecheck = { chain = [ requires = ["hatchling==1.26.3", "hatch-fancy-pypi-readme"] build-backend = "hatchling.build" +[dependency-groups] +dev = [ + "ipywidgets>=8.1.7", + "yaspin>=3.1.0", +] + [tool.hatch.build] include = [ "src/*" diff --git a/src/agentex/lib/adk/_modules/messages.py b/src/agentex/lib/adk/_modules/messages.py index 24d7f0f0..6d2e2477 100644 --- a/src/agentex/lib/adk/_modules/messages.py +++ b/src/agentex/lib/adk/_modules/messages.py @@ -3,7 +3,7 @@ from temporalio.common import RetryPolicy from agentex import AsyncAgentex -from agentex.lib.core.adapters.streams.adapter_redis import RedisEventStreamRepository +from agentex.lib.core.adapters.streams.adapter_redis import RedisStreamRepository from agentex.lib.core.services.adk.messages import MessagesService from agentex.lib.core.services.adk.streaming import StreamingService from agentex.lib.core.temporal.activities.activity_helpers import ActivityHelpers @@ -38,7 +38,7 @@ def __init__( ): if messages_service is None: agentex_client = AsyncAgentex() - stream_repository = RedisEventStreamRepository() + stream_repository = RedisStreamRepository() streaming_service = StreamingService( agentex_client=agentex_client, stream_repository=stream_repository, diff --git a/src/agentex/lib/adk/_modules/streaming.py b/src/agentex/lib/adk/_modules/streaming.py index 589384ed..f604db16 100644 --- a/src/agentex/lib/adk/_modules/streaming.py +++ b/src/agentex/lib/adk/_modules/streaming.py @@ -1,7 +1,7 @@ from temporalio.common import RetryPolicy from agentex import AsyncAgentex -from agentex.lib.core.adapters.streams.adapter_redis import RedisEventStreamRepository +from agentex.lib.core.adapters.streams.adapter_redis import RedisStreamRepository from agentex.lib.core.services.adk.streaming import ( StreamingService, StreamingTaskMessageContext, @@ -33,7 +33,7 @@ def __init__(self, streaming_service: StreamingService | None = None): a new service will be created with default parameters. """ if streaming_service is None: - stream_repository = RedisEventStreamRepository() + stream_repository = RedisStreamRepository() agentex_client = AsyncAgentex() self._streaming_service = StreamingService( agentex_client=agentex_client, diff --git a/src/agentex/lib/adk/providers/_modules/litellm.py b/src/agentex/lib/adk/providers/_modules/litellm.py index f638e308..d43dd9cc 100644 --- a/src/agentex/lib/adk/providers/_modules/litellm.py +++ b/src/agentex/lib/adk/providers/_modules/litellm.py @@ -5,7 +5,7 @@ from agentex import AsyncAgentex from agentex.lib.core.adapters.llm.adapter_litellm import LiteLLMGateway -from agentex.lib.core.adapters.streams.adapter_redis import RedisEventStreamRepository +from agentex.lib.core.adapters.streams.adapter_redis import RedisStreamRepository from agentex.lib.core.services.adk.providers.litellm import LiteLLMService from agentex.lib.core.services.adk.streaming import StreamingService from agentex.lib.core.temporal.activities.activity_helpers import ActivityHelpers @@ -40,7 +40,7 @@ def __init__( if litellm_service is None: # Create default service agentex_client = AsyncAgentex() - stream_repository = RedisEventStreamRepository() + stream_repository = RedisStreamRepository() streaming_service = StreamingService( agentex_client=agentex_client, stream_repository=stream_repository, diff --git a/src/agentex/lib/adk/providers/_modules/openai.py b/src/agentex/lib/adk/providers/_modules/openai.py index e9f2dd68..b6de6a41 100644 --- a/src/agentex/lib/adk/providers/_modules/openai.py +++ b/src/agentex/lib/adk/providers/_modules/openai.py @@ -10,7 +10,7 @@ from temporalio.common import RetryPolicy from agentex import AsyncAgentex -from agentex.lib.core.adapters.streams.adapter_redis import RedisEventStreamRepository +from agentex.lib.core.adapters.streams.adapter_redis import RedisStreamRepository from agentex.lib.core.services.adk.providers.openai import OpenAIService from agentex.lib.core.services.adk.streaming import StreamingService from agentex.lib.core.temporal.activities.activity_helpers import ActivityHelpers @@ -47,7 +47,7 @@ def __init__( if openai_service is None: # Create default service agentex_client = AsyncAgentex() - stream_repository = RedisEventStreamRepository() + stream_repository = RedisStreamRepository() streaming_service = StreamingService( agentex_client=agentex_client, stream_repository=stream_repository, diff --git a/src/agentex/lib/cli/commands/init.py b/src/agentex/lib/cli/commands/init.py index 50ea2c11..9b2ed600 100644 --- a/src/agentex/lib/cli/commands/init.py +++ b/src/agentex/lib/cli/commands/init.py @@ -1,5 +1,6 @@ from enum import Enum from pathlib import Path +from typing import Any, Dict import questionary from jinja2 import Environment, FileSystemLoader @@ -23,7 +24,7 @@ class TemplateType(str, Enum): def render_template( - template_path: str, context: dict, template_type: TemplateType + template_path: str, context: Dict[str, Any], template_type: TemplateType ) -> str: """Render a template with the given context""" env = Environment(loader=FileSystemLoader(TEMPLATES_DIR / template_type.value)) @@ -32,7 +33,7 @@ def render_template( def create_project_structure( - path: Path, context: dict, template_type: TemplateType, use_uv: bool + path: Path, context: Dict[str, Any], template_type: TemplateType, use_uv: bool ): """Create the project structure from templates""" # Create project directory @@ -74,6 +75,9 @@ def create_project_structure( root_templates["requirements.txt.j2"] = "requirements.txt" root_templates["Dockerfile.j2"] = "Dockerfile" + # Add development notebook for agents + root_templates["dev.ipynb.j2"] = "dev.ipynb" + for template, output in root_templates.items(): output_path = project_dir / output output_path.write_text(render_template(template, context, template_type)) @@ -81,7 +85,7 @@ def create_project_structure( console.print(f"\n[green]✓[/green] Created project structure at: {project_dir}") -def get_project_context(answers: dict, project_path: Path, manifest_root: Path) -> dict: +def get_project_context(answers: Dict[str, Any], project_path: Path, manifest_root: Path) -> Dict[str, Any]: """Get the project context from user answers""" # Use agent_directory_name as project_name project_name = answers["agent_directory_name"].replace("-", "_") @@ -112,7 +116,7 @@ def init(): ) # Use a Rich table for template descriptions - table = Table(show_header=True, header_style="bold magenta") + table = Table(show_header=True, header_style="bold blue") table.add_column("Template", style="cyan", no_wrap=True) table.add_column("Description", style="white") table.add_row( diff --git a/src/agentex/lib/cli/templates/default/README.md.j2 b/src/agentex/lib/cli/templates/default/README.md.j2 index 33fc8052..44bfc284 100644 --- a/src/agentex/lib/cli/templates/default/README.md.j2 +++ b/src/agentex/lib/cli/templates/default/README.md.j2 @@ -62,6 +62,7 @@ This file is essential for both local development and deployment of your agent. │ └── acp.py # ACP server and event handlers ├── Dockerfile # Container definition ├── manifest.yaml # Deployment config +├── dev.ipynb # Development notebook for testing {% if use_uv %} └── pyproject.toml # Dependencies (uv) {% else %} @@ -76,7 +77,27 @@ This file is essential for both local development and deployment of your agent. - Add your own tools and capabilities - Implement custom state management -### 2. Manage Dependencies +### 2. Test Your Agent with the Development Notebook +Use the included `dev.ipynb` Jupyter notebook to test your agent interactively: + +```bash +# Start Jupyter notebook (make sure you have jupyter installed) +jupyter notebook dev.ipynb + +# Or use VS Code to open the notebook directly +code dev.ipynb +``` + +The notebook includes: +- **Setup**: Connect to your local AgentEx backend +- **Task creation**: Create a new task for the conversation +- **Event sending**: Send events to the agent and get responses +- **Async message subscription**: Subscribe to server-side events to receive agent responses +- **Rich message display**: Beautiful formatting with timestamps and author information + +The notebook automatically uses your agent name (`{{ agent_name }}`) and demonstrates the agentic ACP workflow: create task → send event → subscribe to responses. + +### 3. Manage Dependencies {% if use_uv %} You chose **uv** for package management. Here's how to work with dependencies: @@ -115,7 +136,7 @@ pip install -r requirements.txt - Wide compatibility {% endif %} -### 3. Configure Credentials +### 4. Configure Credentials Options: 1. Add any required credentials to your manifest.yaml via the `env` section 2. Export them in your shell: `export OPENAI_API_KEY=...` diff --git a/src/agentex/lib/cli/templates/default/dev.ipynb.j2 b/src/agentex/lib/cli/templates/default/dev.ipynb.j2 new file mode 100644 index 00000000..c16f0a02 --- /dev/null +++ b/src/agentex/lib/cli/templates/default/dev.ipynb.j2 @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"{{ agent_name }}\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b03b0d37", + "metadata": {}, + "outputs": [], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6927cc0", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=5,\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/agentex/lib/cli/templates/sync/README.md.j2 b/src/agentex/lib/cli/templates/sync/README.md.j2 index edf8c94e..b2105705 100644 --- a/src/agentex/lib/cli/templates/sync/README.md.j2 +++ b/src/agentex/lib/cli/templates/sync/README.md.j2 @@ -60,6 +60,7 @@ This file is essential for both local development and deployment of your agent. │ └── acp.py # ACP server and event handlers ├── Dockerfile # Container definition ├── manifest.yaml # Deployment config +├── dev.ipynb # Development notebook for testing {% if use_uv %} └── pyproject.toml # Dependencies (uv) {% else %} @@ -74,7 +75,26 @@ This file is essential for both local development and deployment of your agent. - Add your own tools and capabilities - Implement custom response generation -### 2. Manage Dependencies +### 2. Test Your Agent with the Development Notebook +Use the included `dev.ipynb` Jupyter notebook to test your agent interactively: + +```bash +# Start Jupyter notebook (make sure you have jupyter installed) +jupyter notebook dev.ipynb + +# Or use VS Code to open the notebook directly +code dev.ipynb +``` + +The notebook includes: +- **Setup**: Connect to your local AgentEx backend +- **Non-streaming tests**: Send messages and get complete responses +- **Streaming tests**: Test real-time streaming responses +- **Task management**: Optional task creation and management + +The notebook automatically uses your agent name (`{{ agent_name }}`) and provides examples for both streaming and non-streaming message handling. + +### 3. Manage Dependencies {% if use_uv %} You chose **uv** for package management. Here's how to work with dependencies: @@ -113,7 +133,7 @@ pip install -r requirements.txt - Wide compatibility {% endif %} -### 3. Configure Credentials +### 4. Configure Credentials Options: 1. Add any required credentials to your manifest.yaml via the `env` section 2. Export them in your shell: `export OPENAI_API_KEY=...` diff --git a/src/agentex/lib/cli/templates/sync/dev.ipynb.j2 b/src/agentex/lib/cli/templates/sync/dev.ipynb.j2 new file mode 100644 index 00000000..490c9cb9 --- /dev/null +++ b/src/agentex/lib/cli/templates/sync/dev.ipynb.j2 @@ -0,0 +1,181 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"{{ agent_name }}\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [], + "source": [ + "# # (Optional) Create a new task. If you don't create a new task, each message will be sent to a new task. The server will create the task for you.\n", + "\n", + "# import uuid\n", + "\n", + "# TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "# rpc_response = client.agents.rpc_by_name(\n", + "# agent_name=AGENT_NAME,\n", + "# method=\"task/create\",\n", + "# params={\n", + "# \"name\": f\"{TASK_ID}-task\",\n", + "# \"params\": {}\n", + "# }\n", + "# )\n", + "\n", + "# task = rpc_response.result\n", + "# print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b03b0d37", + "metadata": {}, + "outputs": [], + "source": [ + "# Test non streaming response\n", + "from typing import List, cast\n", + "from agentex.types import TaskMessage, TextContent\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": False\n", + " }\n", + ")\n", + "\n", + "# # Extract and print just the text content from the response\n", + "# # The response is expected to be a dict with a \"result\" key containing a list of message dicts\n", + "if rpc_response and rpc_response.result:\n", + "\n", + " # We know that the result of the message/send when stream is set to False will be a list of TaskMessage objects\n", + " task_message_list = cast(List[TaskMessage], rpc_response.result)\n", + " for task_message in rpc_response.result:\n", + " if isinstance(task_message, TaskMessage):\n", + " content = task_message.content\n", + " if isinstance(content, TextContent):\n", + " text = content.content\n", + " print(text)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in response.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79688331", + "metadata": {}, + "outputs": [], + "source": [ + "# Test streaming response\n", + "import json\n", + "from agentex.types import AgentRpcResponse\n", + "from agentex.types.agent_rpc_result import StreamTaskMessageDelta, StreamTaskMessageFull\n", + "from agentex.types.text_delta import TextDelta\n", + "from agentex.types.task_message_update import TaskMessageUpdate\n", + "\n", + "\n", + "# The result object of message/send will be a TaskMessageUpdate which is a union of the following types:\n", + "# - StreamTaskMessageStart: \n", + "# - An indicator that a streaming message was started, doesn't contain any useful content\n", + "# - StreamTaskMessageDelta: \n", + "# - A delta of a streaming message, contains the text delta to aggregate\n", + "# - StreamTaskMessageDone: \n", + "# - An indicator that a streaming message was done, doesn't contain any useful content\n", + "# - StreamTaskMessageFull: \n", + "# - A non-streaming message, there is nothing to aggregate, since this contains the full message, not deltas\n", + "\n", + "# Whenn processing StreamTaskMessageDelta, if you are expecting more than TextDeltas, such as DataDelta, ToolRequestDelta, or ToolResponseDelta, you can process them as well\n", + "# Whenn processing StreamTaskMessageFull, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "with client.agents.with_streaming_response.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"message/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"stream\": True\n", + " }\n", + ") as response:\n", + " for agent_rpc_response_str in response.iter_text():\n", + " chunk_rpc_response = AgentRpcResponse.model_validate(json.loads(agent_rpc_response_str))\n", + " # We know that the result of the message/send when stream is set to True will be a TaskMessageUpdate\n", + " task_message_update = cast(TaskMessageUpdate, chunk_rpc_response.result)\n", + "\n", + " # Print oly the text deltas as they arrive or any full messages\n", + " if isinstance(task_message_update, StreamTaskMessageDelta):\n", + " delta = task_message_update.delta\n", + " if isinstance(delta, TextDelta):\n", + " print(delta.text_delta, end=\"\", flush=True)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in streaming message.\")\n", + " elif isinstance(task_message_update, StreamTaskMessageFull):\n", + " content = task_message_update.content\n", + " if isinstance(content, TextContent):\n", + " print(content.content)\n", + " else:\n", + " print(f\"Found non-text {type(task_message)} object in full message.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ffb663c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/agentex/lib/cli/templates/sync/project/acp.py.j2 b/src/agentex/lib/cli/templates/sync/project/acp.py.j2 index ad6c935c..069dc0b3 100644 --- a/src/agentex/lib/cli/templates/sync/project/acp.py.j2 +++ b/src/agentex/lib/cli/templates/sync/project/acp.py.j2 @@ -1,26 +1,75 @@ -from typing import AsyncGenerator, Union +import json +from agentex.lib import adk from agentex.lib.sdk.fastacp.fastacp import FastACP -from agentex.lib.types.acp import SendMessageParams +from agentex.lib.types.fastacp import AgenticACPConfig +from agentex.lib.types.acp import CancelTaskParams, CreateTaskParams, SendEventParams -from agentex.lib.types.task_message_updates import TaskMessageUpdate -from agentex.types.task_message_content import TaskMessageContent from agentex.types.text_content import TextContent from agentex.lib.utils.logging import make_logger logger = make_logger(__name__) -# Create an ACP server +# Create an ACP server with base configuration +# This sets up the core server that will handle task creation, events, and cancellation acp = FastACP.create( - acp_type="sync", + acp_type="agentic", + config=AgenticACPConfig( + type="base", + ), ) -@acp.on_message_send -async def handle_message_send( - params: SendMessageParams -) -> TaskMessageContent | list[TaskMessageContent] | AsyncGenerator[TaskMessageUpdate, None]: - """Default message handler with streaming support""" - return TextContent( - author="agent", - content=f"Hello! I've received your message. Here's a generic response, but in future tutorials we'll see how you can get me to intelligently respond to your message. This is what I heard you say: {params.content.content}", +@acp.on_task_create +async def handle_task_create(params: CreateTaskParams): + # This handler is called first whenever a new task is created. + # It's a good place to initialize any state or resources needed for the task. + + ######################################################### + # 1. (👋) Do task initialization here. + ######################################################### + + # Acknowledge that the task has been created. + await adk.messages.create( + task_id=params.task.id, + content=TextContent( + author="agent", + content=f"Hello! I've received your task. Normally you can do some state initialization here, or just pass and do nothing until you get your first event. For now I'm just acknowledging that I've received a task with the following params:\n\n{json.dumps(params.params, indent=2)}.\n\nYou should only see this message once, when the task is created. All subsequent events will be handled by the `on_task_event_send` handler.", + ), ) + +@acp.on_task_event_send +async def handle_event_send(params: SendEventParams): + # This handler is called whenever a new event (like a message) is sent to the task + + ######################################################### + # 2. (👋) Echo back the client's message to show it in the UI. + ######################################################### + + # This is not done by default so the agent developer has full control over what is shown to the user. + if params.event.content: + await adk.messages.create(task_id=params.task.id, content=params.event.content) + + ######################################################### + # 3. (👋) Send a simple response message. + ######################################################### + + # In future tutorials, this is where we'll add more sophisticated response logic. + await adk.messages.create( + task_id=params.task.id, + content=TextContent( + author="agent", + content=f"Hello! I've received your message. I can't respond right now, but in future tutorials we'll see how you can get me to intelligently respond to your message.", + ), + ) + +@acp.on_task_cancel +async def handle_task_cancel(params: CancelTaskParams): + # This handler is called when a task is cancelled. + # It's useful for cleaning up any resources or state associated with the task. + + ######################################################### + # 4. (👋) Do task cleanup here. + ######################################################### + + # This is mostly for durable workflows that are cancellable like Temporal, but we will leave it here for demonstration purposes. + logger.info(f"Hello! I've received task cancel for task {params.task.id}: {params.task}. This isn't necessary for this example, but it's good to know that it's available.") diff --git a/src/agentex/lib/cli/templates/temporal/README.md.j2 b/src/agentex/lib/cli/templates/temporal/README.md.j2 index 5400be8e..f6531978 100644 --- a/src/agentex/lib/cli/templates/temporal/README.md.j2 +++ b/src/agentex/lib/cli/templates/temporal/README.md.j2 @@ -68,6 +68,7 @@ This file is essential for both local development and deployment of your agent. │ └── run_worker.py # Temporal worker setup ├── Dockerfile # Container definition ├── manifest.yaml # Deployment config +├── dev.ipynb # Development notebook for testing {% if use_uv %} └── pyproject.toml # Dependencies (uv) {% else %} @@ -82,12 +83,32 @@ This file is essential for both local development and deployment of your agent. - Add your own tools and capabilities - Implement custom state management -### 2. Develop Temporal Workflows +### 2. Test Your Agent with the Development Notebook +Use the included `dev.ipynb` Jupyter notebook to test your agent interactively: + +```bash +# Start Jupyter notebook (make sure you have jupyter installed) +jupyter notebook dev.ipynb + +# Or use VS Code to open the notebook directly +code dev.ipynb +``` + +The notebook includes: +- **Setup**: Connect to your local AgentEx backend +- **Task creation**: Create a new task for the conversation +- **Event sending**: Send events to the agent and get responses +- **Async message subscription**: Subscribe to server-side events to receive agent responses +- **Rich message display**: Beautiful formatting with timestamps and author information + +The notebook automatically uses your agent name (`{{ agent_name }}`) and demonstrates the agentic ACP workflow: create task → send event → subscribe to responses. + +### 3. Develop Temporal Workflows - Edit `workflow.py` to define your agent's async workflow logic - Modify `activities.py` to add custom activities - Use `run_worker.py` to configure the Temporal worker -### 3. Manage Dependencies +### 4. Manage Dependencies {% if use_uv %} You chose **uv** for package management. Here's how to work with dependencies: @@ -135,7 +156,7 @@ pip install -r requirements.txt - Wide compatibility {% endif %} -### 4. Configure Credentials +### 5. Configure Credentials - Add any required credentials to your manifest.yaml - For local development, create a `.env` file in the project directory - Use `load_dotenv()` only in development mode: diff --git a/src/agentex/lib/cli/templates/temporal/dev.ipynb.j2 b/src/agentex/lib/cli/templates/temporal/dev.ipynb.j2 new file mode 100644 index 00000000..c16f0a02 --- /dev/null +++ b/src/agentex/lib/cli/templates/temporal/dev.ipynb.j2 @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "36834357", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex import Agentex\n", + "\n", + "client = Agentex(base_url=\"http://localhost:5003\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1c309d6", + "metadata": {}, + "outputs": [], + "source": [ + "AGENT_NAME = \"{{ agent_name }}\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f6e6ef0", + "metadata": {}, + "outputs": [], + "source": [ + "# (REQUIRED) Create a new task. For Agentic agents, you must create a task for messages to be associated with.\n", + "\n", + "from typing import cast\n", + "import uuid\n", + "\n", + "from agentex.types import Task\n", + "\n", + "TASK_ID = str(uuid.uuid4())[:8]\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"task/create\",\n", + " params={\n", + " \"name\": f\"{TASK_ID}-task\",\n", + " \"params\": {}\n", + " }\n", + ")\n", + "\n", + "task = cast(Task, rpc_response.result)\n", + "print(task)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b03b0d37", + "metadata": {}, + "outputs": [], + "source": [ + "# Test non streaming response\n", + "from typing import cast\n", + "from agentex.types import Event\n", + "\n", + "# The response is expected to be a list of TaskMessage objects, which is a union of the following types:\n", + "# - TextContent: A message with just text content \n", + "# - DataContent: A message with JSON-serializable data content\n", + "# - ToolRequestContent: A message with a tool request, which contains a JSON-serializable request to call a tool\n", + "# - ToolResponseContent: A message with a tool response, which contains response object from a tool call in its content\n", + "\n", + "# When processing the message/send response, if you are expecting more than TextContent, such as DataContent, ToolRequestContent, or ToolResponseContent, you can process them as well\n", + "\n", + "rpc_response = client.agents.rpc_by_name(\n", + " agent_name=AGENT_NAME,\n", + " method=\"event/send\",\n", + " params={\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello what can you do?\"},\n", + " \"task_id\": task.id,\n", + " }\n", + ")\n", + "\n", + "event = cast(Event, rpc_response.result)\n", + "print(event)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a6927cc0", + "metadata": {}, + "outputs": [], + "source": [ + "from agentex.lib.utils.dev_tools import subscribe_to_async_task_messages\n", + "\n", + "task_messages = subscribe_to_async_task_messages(\n", + " client=client,\n", + " task=task, \n", + " only_after_timestamp=event.created_at, \n", + " print_messages=True,\n", + " rich_print=True,\n", + " timeout=5,\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/agentex/lib/core/adapters/streams/adapter_redis.py b/src/agentex/lib/core/adapters/streams/adapter_redis.py index 83ac9c39..d61f5407 100644 --- a/src/agentex/lib/core/adapters/streams/adapter_redis.py +++ b/src/agentex/lib/core/adapters/streams/adapter_redis.py @@ -7,13 +7,13 @@ import redis.asyncio as redis from fastapi import Depends -from agentex.lib.core.adapters.streams.port import EventStreamRepository +from agentex.lib.core.adapters.streams.port import StreamRepository from agentex.lib.utils.logging import make_logger logger = make_logger(__name__) -class RedisEventStreamRepository(EventStreamRepository): +class RedisStreamRepository(StreamRepository): """ A simplified Redis implementation of the EventStreamRepository interface. Optimized for text/JSON streaming with SSE. @@ -123,6 +123,6 @@ async def cleanup_stream(self, topic: str) -> None: raise -DRedisEventStreamRepository = Annotated[ - RedisEventStreamRepository | None, Depends(RedisEventStreamRepository) +DRedisStreamRepository = Annotated[ + RedisStreamRepository | None, Depends(RedisStreamRepository) ] diff --git a/src/agentex/lib/core/adapters/streams/port.py b/src/agentex/lib/core/adapters/streams/port.py index 4fff08f5..17992ab1 100644 --- a/src/agentex/lib/core/adapters/streams/port.py +++ b/src/agentex/lib/core/adapters/streams/port.py @@ -3,7 +3,7 @@ from typing import Any -class EventStreamRepository(ABC): +class StreamRepository(ABC): """ Interface for event streaming repositories. Used to publish and subscribe to event streams. diff --git a/src/agentex/lib/core/services/adk/streaming.py b/src/agentex/lib/core/services/adk/streaming.py index c89fa74d..4e1090ab 100644 --- a/src/agentex/lib/core/services/adk/streaming.py +++ b/src/agentex/lib/core/services/adk/streaming.py @@ -2,7 +2,7 @@ from typing import Literal, cast from agentex import AsyncAgentex -from agentex.lib.core.adapters.streams.port import EventStreamRepository +from agentex.lib.core.adapters.streams.port import StreamRepository from agentex.lib.types.task_message_updates import ( TaskMessageDelta, TaskMessageUpdate, @@ -22,7 +22,6 @@ TaskMessage, TaskMessageContent, ) -from agentex.types.task_message_content_param import TaskMessageContentParam from agentex.types.text_content import TextContent from agentex.types.tool_request_content import ToolRequestContent from agentex.types.tool_response_content import ToolResponseContent @@ -221,7 +220,7 @@ class StreamingService: def __init__( self, agentex_client: AsyncAgentex, - stream_repository: EventStreamRepository, + stream_repository: StreamRepository, ): self._agentex_client = agentex_client self._stream_repository = stream_repository diff --git a/src/agentex/lib/core/temporal/activities/__init__.py b/src/agentex/lib/core/temporal/activities/__init__.py index d8d76053..ce29fe70 100644 --- a/src/agentex/lib/core/temporal/activities/__init__.py +++ b/src/agentex/lib/core/temporal/activities/__init__.py @@ -2,7 +2,7 @@ from agentex import AsyncAgentex from agentex.lib.core.adapters.llm.adapter_litellm import LiteLLMGateway -from agentex.lib.core.adapters.streams.adapter_redis import RedisEventStreamRepository +from agentex.lib.core.adapters.streams.adapter_redis import RedisStreamRepository from agentex.lib.core.services.adk.acp.acp import ACPService from agentex.lib.core.services.adk.agent_task_tracker import AgentTaskTrackerService from agentex.lib.core.services.adk.events import EventsService @@ -57,7 +57,7 @@ def get_all_activities(sgp_client=None): sgp_client = None llm_gateway = LiteLLMGateway() - stream_repository = RedisEventStreamRepository() + stream_repository = RedisStreamRepository() agentex_client = AsyncAgentex() tracer = AsyncTracer(agentex_client) diff --git a/src/agentex/lib/utils/dev_tools/__init__.py b/src/agentex/lib/utils/dev_tools/__init__.py new file mode 100644 index 00000000..38d7726a --- /dev/null +++ b/src/agentex/lib/utils/dev_tools/__init__.py @@ -0,0 +1,9 @@ +"""Development tools for AgentEx.""" + +from .async_messages import print_task_message, print_task_message_update, subscribe_to_async_task_messages + +__all__ = [ + "print_task_message", + "print_task_message_update", + "subscribe_to_async_task_messages", +] diff --git a/src/agentex/lib/utils/dev_tools/async_messages.py b/src/agentex/lib/utils/dev_tools/async_messages.py new file mode 100644 index 00000000..9841ff83 --- /dev/null +++ b/src/agentex/lib/utils/dev_tools/async_messages.py @@ -0,0 +1,386 @@ +""" +Development utility for subscribing to async task messages with streaming support. + +This module provides utilities to read existing messages from a task and subscribe +to new streaming messages, handling mid-stream connections gracefully. +""" + +import json +from datetime import datetime, timezone +from typing import List, Optional + +from yaspin.core import Yaspin + +from agentex import Agentex +from agentex.types import Task, TaskMessage, TextContent, ToolRequestContent, ToolResponseContent +from agentex.types.task_message_update import ( + TaskMessageUpdate, + StreamTaskMessageStart, + StreamTaskMessageDelta, + StreamTaskMessageFull, + StreamTaskMessageDone +) +from agentex.types.text_delta import TextDelta + +from rich.console import Console +from rich.panel import Panel +from rich.markdown import Markdown +from yaspin import yaspin + + +def print_task_message( + message: TaskMessage, + print_messages: bool = True, + rich_print: bool = True, +) -> None: + """ + Print a task message in a formatted way. + + Args: + message: The task message to print + print_messages: Whether to actually print the message (for debugging) + rich_print: Whether to use rich to print the message + """ + if not print_messages: + return + + # Skip empty messages + if isinstance(message.content, TextContent) and not message.content.content.strip(): + return + + timestamp = message.created_at.strftime("%m/%d/%Y %H:%M:%S") if message.created_at else "N/A" + + console = None + if rich_print: + console = Console(width=80) # Fit better in Jupyter cells + + if isinstance(message.content, TextContent): + content = message.content.content + content_type = "text" + elif isinstance(message.content, ToolRequestContent): + tool_name = message.content.name + tool_args = message.content.arguments + + # Format arguments as pretty JSON + try: + if isinstance(tool_args, str): + parsed_args = json.loads(tool_args) + formatted_args = json.dumps(parsed_args, indent=2) + else: + formatted_args = json.dumps(tool_args, indent=2) + content = f"🔧 **Tool Request: {tool_name}**\n\n**Arguments:**\n```json\n{formatted_args}\n```" + except (json.JSONDecodeError, TypeError): + content = f"🔧 **Tool Request: {tool_name}**\n\n**Arguments:**\n```json\n{tool_args}\n```" + + content_type = "tool_request" + elif isinstance(message.content, ToolResponseContent): + tool_name = message.content.name + tool_response = message.content.content + + # Try to parse and format JSON response nicely + try: + if isinstance(tool_response, str): + parsed_response = json.loads(tool_response) + formatted_json = json.dumps(parsed_response, indent=2) + content = f"✅ **Tool Response: {tool_name}**\n\n**Response:**\n```json\n{formatted_json}\n```" + else: + formatted_json = json.dumps(tool_response, indent=2) + content = f"✅ **Tool Response: {tool_name}**\n\n**Response:**\n```json\n{formatted_json}\n```" + except (json.JSONDecodeError, TypeError): + # If it's not valid JSON, display as text + if isinstance(tool_response, str): + # Try to extract text content if it's a JSON string with text field + try: + parsed = json.loads(tool_response) + if isinstance(parsed, dict) and "text" in parsed: + text_content = str(parsed["text"]) + content = f"✅ **Tool Response: {tool_name}**\n\n{text_content}" + else: + content = f"✅ **Tool Response: {tool_name}**\n\n{tool_response}" + except json.JSONDecodeError: + content = f"✅ **Tool Response: {tool_name}**\n\n{tool_response}" + else: + content = f"✅ **Tool Response: {tool_name}**\n\n{tool_response}" + + content_type = "tool_response" + else: + content = f"{type(message.content).__name__}: {message.content}" + content_type = "other" + + if rich_print and console: + author_color = "bright_cyan" if message.content.author == "user" else "green" + title = f"[bold {author_color}]{message.content.author.upper()}[/bold {author_color}] [{timestamp}]" + + # Use different border styles for tool messages + if content_type == "tool_request": + border_style = "yellow" + elif content_type == "tool_response": + border_style = "bright_green" + else: + border_style = author_color + + panel = Panel(Markdown(content), title=title, border_style=border_style, width=80) + console.print(panel) + else: + title = f"{message.content.author.upper()} [{timestamp}]" + print(f"{title}\n{content}\n") + + +def print_task_message_update( + task_message_update: TaskMessageUpdate, + print_messages: bool = True, + rich_print: bool = True, + show_deltas: bool = True, +) -> None: + """ + Print a task message update in a formatted way. + + This function handles different types of TaskMessageUpdate objects: + - StreamTaskMessageStart: Shows start indicator + - StreamTaskMessageDelta: Shows deltas in real-time (if show_deltas=True) + - StreamTaskMessageFull: Shows complete message content + - StreamTaskMessageDone: Shows completion indicator + + Args: + task_message_update: The TaskMessageUpdate object to print + print_messages: Whether to actually print the message (for debugging) + rich_print: Whether to use rich formatting + show_deltas: Whether to show delta updates in real-time + """ + if not print_messages: + return + + console = None + if rich_print: + console = Console(width=80) + + if isinstance(task_message_update, StreamTaskMessageStart): + if rich_print and console: + console.print("🚀 [cyan]Agent started responding...[/cyan]") + else: + print("🚀 Agent started responding...") + + elif isinstance(task_message_update, StreamTaskMessageDelta): + if show_deltas and task_message_update.delta: + if isinstance(task_message_update.delta, TextDelta): + print(task_message_update.delta.text_delta, end="", flush=True) + elif rich_print and console: + console.print(f"[yellow]Non-text delta: {type(task_message_update.delta).__name__}[/yellow]") + else: + print(f"Non-text delta: {type(task_message_update.delta).__name__}") + + elif isinstance(task_message_update, StreamTaskMessageFull): + if isinstance(task_message_update.content, TextContent): + timestamp = datetime.now().strftime("%m/%d/%Y %H:%M:%S") + + if rich_print and console: + author_color = "bright_cyan" if task_message_update.content.author == "user" else "green" + title = f"[bold {author_color}]{task_message_update.content.author.upper()}[/bold {author_color}] [{timestamp}]" + panel = Panel(Markdown(task_message_update.content.content), title=title, border_style=author_color, width=80) + console.print(panel) + else: + title = f"{task_message_update.content.author.upper()} [{timestamp}]" + print(f"\n{title}\n{task_message_update.content.content}\n") + else: + content_type = type(task_message_update.content).__name__ + if rich_print and console: + console.print(f"[yellow]Non-text content: {content_type}[/yellow]") + else: + print(f"Non-text content: {content_type}") + + else: # StreamTaskMessageDone + if rich_print and console: + console.print("\n✅ [green]Agent finished responding.[/green]") + else: + print("\n✅ Agent finished responding.") + + +def subscribe_to_async_task_messages( + client: Agentex, + task: Task, + only_after_timestamp: Optional[datetime] = None, + print_messages: bool = True, + rich_print: bool = True, + timeout: int = 10, +) -> List[TaskMessage]: + """ + Subscribe to async task messages and collect completed messages. + + This function: + 1. Reads all existing messages from the task + 2. Optionally filters messages after a timestamp + 3. Shows a loading message while listening + 4. Subscribes to task message events + 5. Fetches and displays complete messages when they finish + 6. Returns all messages collected during the session + + Features: + - Uses Rich library for beautiful formatting in Jupyter notebooks + - Agent messages are formatted as Markdown + - User and agent messages are displayed in colored panels with fixed width + - Optimized for Jupyter notebook display + + Args: + client: The Agentex client instance + task: The task to subscribe to + print_messages: Whether to print messages as they arrive + only_after_timestamp: Only include messages created after this timestamp. If None, all messages will be included. + rich_print: Whether to use rich to print the message + timeout: The timeout in seconds for the streaming connection. If the connection times out, the function will return with any messages collected so far. + Returns: + List of TaskMessage objects collected during the session + + Raises: + ValueError: If the task doesn't have a name (required for streaming) + """ + + messages_to_return: List[TaskMessage] = [] + + # Read existing messages + messages = [] + try: + # List all messages for this task - MessageListResponse is just a List[TaskMessage] + messages = client.messages.list(task_id=task.id) + + except Exception as e: + print(f"Error reading existing messages: {e}") + + # Filter and display existing messages + for message in messages: + if only_after_timestamp: + if message.created_at is not None: + # Handle timezone comparison - make both datetimes timezone-aware + message_time = message.created_at + if message_time.tzinfo is None: + # If message time is naive, assume it's in UTC + message_time = message_time.replace(tzinfo=timezone.utc) + + comparison_time = only_after_timestamp + if comparison_time.tzinfo is None: + # If comparison time is naive, assume it's in UTC + comparison_time = comparison_time.replace(tzinfo=timezone.utc) + + if message_time < comparison_time: + continue + else: + messages_to_return.append(message) + print_task_message(message, print_messages, rich_print) + else: + messages_to_return.append(message) + print_task_message(message, print_messages, rich_print) + + # Subscribe to server-side events using tasks.stream_events_by_name + # This is the proper way to get agent responses after sending an event in agentic agents + + # Ensure task has a name + if not task.name: + print("Error: Task must have a name to use stream_events_by_name") + raise ValueError("Task name is required") + + try: + # Use stream_events_by_name to subscribe to TaskMessageUpdate events for this task + # This doesn't require knowing the agent_id, just the task name + + # Track active streaming spinners per message index + active_spinners: dict[int, Yaspin] = {} # index -> yaspin spinner object + + with client.tasks.with_streaming_response.stream_events_by_name( + task_name=task.name, + timeout=timeout + ) as response: + + try: + for task_message_update_str in response.iter_text(): + try: + # Parse SSE format + if task_message_update_str.strip().startswith('data: '): + task_message_update_json = task_message_update_str.strip()[6:] # Remove 'data: ' prefix + task_message_update_data = json.loads(task_message_update_json) + + # Deserialize the discriminated union TaskMessageUpdate based on the "type" field + message_type = task_message_update_data.get("type", "unknown") + + # Handle different message types for streaming progress + if message_type == "start": + task_message_update = StreamTaskMessageStart.model_validate(task_message_update_data) + index = task_message_update.index or 0 + + # Start a yaspin spinner for this message + if print_messages and index not in active_spinners: + spinner = yaspin(text="🔄 Agent responding...") + spinner.start() + active_spinners[index] = spinner + + elif message_type == "delta": + task_message_update = StreamTaskMessageDelta.model_validate(task_message_update_data) + index = task_message_update.index or 0 + + # Spinner continues running (no update needed for HTML) or if spinner has not been created yet, create it + if print_messages and index not in active_spinners: + spinner = yaspin(text="🔄 Agent responding...") + spinner.start() + active_spinners[index] = spinner + + elif message_type == "full": + task_message_update = StreamTaskMessageFull.model_validate(task_message_update_data) + index = task_message_update.index or 0 + + # Stop spinner and show message + if index in active_spinners: + active_spinners[index].stop() + del active_spinners[index] + + if task_message_update.parent_task_message and task_message_update.parent_task_message.id: + finished_message = client.messages.retrieve(task_message_update.parent_task_message.id) + messages_to_return.append(finished_message) + print_task_message(finished_message, print_messages, rich_print) + + elif message_type == "done": + task_message_update = StreamTaskMessageDone.model_validate(task_message_update_data) + index = task_message_update.index or 0 + + # Stop spinner and show message + if index in active_spinners: + active_spinners[index].stop() + del active_spinners[index] + + if task_message_update.parent_task_message and task_message_update.parent_task_message.id: + finished_message = client.messages.retrieve(task_message_update.parent_task_message.id) + messages_to_return.append(finished_message) + print_task_message(finished_message, print_messages, rich_print) + + # Ignore "connected" message type + elif message_type == "connected": + pass + else: + if print_messages: + print(f"Unknown TaskMessageUpdate type: {message_type}") + + except json.JSONDecodeError: + # Skip invalid JSON or SSE metadata lines + if task_message_update_str.strip() and not task_message_update_str.startswith(':'): + if print_messages: + print(f"Skipping non-JSON: {task_message_update_str.strip()}") + continue + except Exception as e: + if print_messages: + print(f"Error processing TaskMessageUpdate: {e}") + print(f"Raw data: {task_message_update_str.strip()}") + continue + finally: + # Stop any remaining spinners when we're done + for spinner in active_spinners.values(): + spinner.stop() + active_spinners.clear() + + except Exception as e: + # Handle timeout gracefully + if "timeout" in str(e).lower() or "timed out" in str(e).lower(): + if print_messages: + print(f"Streaming timed out after {timeout} seconds - returning collected messages") + else: + if print_messages: + print(f"Error subscribing to events: {e}") + print("Make sure your agent is running and the task exists") + + return messages_to_return \ No newline at end of file diff --git a/uv.lock b/uv.lock index 76088f50..0b060aa6 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,10 @@ version = 1 -revision = 2 +revision = 1 requires-python = 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