diff --git "a/rag_test.ipynb" "b/rag_test.ipynb" new file mode 100644--- /dev/null +++ "b/rag_test.ipynb" @@ -0,0 +1,613 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n", + "from langchain_qdrant import QdrantVectorStore\n", + "from langchain_core.messages import HumanMessage\n", + "from rag import make_react_agent_graph\n", + "import tiktoken\n", + "from langchain_text_splitters import RecursiveCharacterTextSplitter\n", + "from langchain.document_loaders import PyMuPDFLoader" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "settings = {\n", + " \"model\": \"gpt-4o-mini\",\n", + " \"temperature\": 0.5,\n", + " \"max_tokens\": 2000,\n", + " \"frequency_penalty\": 0,\n", + " \"presence_penalty\": 0,\n", + " }\n", + "\n", + "model = ChatOpenAI(\n", + " model=settings[\"model\"],\n", + " temperature=settings[\"temperature\"],\n", + " # max_tokens=settings[\"max_tokens\"] # ChatOpenAI might not take max_tokens directly here\n", + " )\n", + " \n", + "def tiktoken_len(text):\n", + " tokens = tiktoken.encoding_for_model(\"gpt-4o-mini\").encode(\n", + " text,\n", + " )\n", + " return len(tokens)\n", + "\n", + "text_splitter = RecursiveCharacterTextSplitter(\n", + " chunk_size = 300,\n", + " chunk_overlap = 0,\n", + " length_function = tiktoken_len,\n", + ")\n", + "\n", + "loader = PyMuPDFLoader(\"data/PracticalAdviceOnMatrixGames.pdf\")\n", + "docs = loader.load()\n", + "\n", + "split_chunks = text_splitter.split_documents(docs)\n", + "embedding_function = OpenAIEmbeddings(model=\"text-embedding-3-small\")\n", + "# Create a dummy collection. You'll need to populate this with actual documents for RAG to work.\n", + "vector_store = QdrantVectorStore.from_documents(\n", + " split_chunks,\n", + " embedding_function,\n", + " location=\":memory:\",\n", + " collection_name=\"matrix_game_docs\",\n", + ")\n", + "# You might want to add some documents here if you have any, e.g.:\n", + "# vector_store.add_texts([\"Some initial context for the agent\"])\n", + "\n", + "# Create the ReAct agent graph\n", + "# The search_kwargs for the vector store can be customized if needed\n", + "agent_graph = make_react_agent_graph(model=model, vector_store=vector_store, search_kwargs={\"k\": 3})" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'messages': [HumanMessage(content='How are random events handled in matrix games?', additional_kwargs={}, response_metadata={}, id='ca91086f-70f4-4bbd-9a54-1f0a8b042d30'), AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_mtPsEviVaOANhdWLf5VlaZXK', 'function': {'arguments': '{\"query\":\"random events in matrix games\"}', 'name': 'vector-search'}, 'type': 'function'}], 'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 19, 'prompt_tokens': 60, 'total_tokens': 79, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 0, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_dbaca60df0', 'id': 'chatcmpl-BV6BdxWbCuApewT18XXgiWQ22tpFr', 'service_tier': 'default', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run--cfce4f7c-ac66-4a37-b703-bb9b335ab76c-0', tool_calls=[{'name': 'vector-search', 'args': {'query': 'random events in matrix games'}, 'id': 'call_mtPsEviVaOANhdWLf5VlaZXK', 'type': 'tool_call'}], usage_metadata={'input_tokens': 60, 'output_tokens': 19, 'total_tokens': 79, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 0}}), ToolMessage(content='[\"Version 15 \\\\nPage 33 of 52 \\\\n© Tom Mouat 2019, 2020, 2022, 2023 \\\\nMy advice is to create a set of cards with generic crises on them, such as: Eco Terrorism, \\\\nRadiation Leak, Economic Downturn, Mineral Discovery, Extreme Weather, Corruption \\\\nScandal, etc. \\\\n \\\\nThere are two schools of thought with regard to “random events”: \\\\nThe events should be chosen at random, with random degrees of severity, and applied to \\\\nthe participants at random during the game. \\\\nThe events should be chosen at random, but given to a different player, in turn, throughout \\\\nthe game. They introduce the event as an “additional argument” that they can apply as \\\\nthey wish in order to contribute to the game narrative. \\\\nMy view that because a Matrix Game is deliberately short, with a limited number of actions \\\\npossible throughout the game, having “random events” happen completely at random is \\\\nproblematic. An Actor may be disadvantaged purely by chance, more than once during the \\\\ngame, which can reduce their immersion and engagement. The narrative develops during \\\\nthe game based on the decisions of the players and their reactions to the decisions of other \\\\nplayers. Having random events imposed on them by chance breaks this “cause and effect”\", \"Version 15 \\\\nPage 52 of 52 \\\\n© Tom Mouat 2019, 2020, 2022, 2023 \\\\nWhat are Matrix Games? \\\\nMatrix games are different. In a Matrix game, there are few pre-set rules limiting what \\\\nplayers can do. Instead, each is free to undertake any plausible action during their turn. The \\\\nchances of success or failure, as well as the effects of the action, are largely determine \\\\nthrough structured argument and discussion. This process allows for imaginative game \\\\ndynamics that are lively and open-ended, and yet also grounded in reality. In a Matrix \\\\nGame, you use words to describe why something should happen, the Facilitator or the \\\\nplayers (or both) decide how likely it is, and you might roll a dice to see if it happens (but \\\\nequally, in the face of a compelling argument, you might not need to). If you can say \\\\\"This \\\\nhappens, for the following reasons...\\\\\" you can play a Matrix Game. \\\\nMatrix games are particularly well-suited for complex conflicts and issues involving multiple \\\\nactors and stake-holders, varying interests and agendas, and a broad range of \\\\n(diplomatic/political, military, social, and economic) dimensions. The game system \\\\ncrowdsources ideas and insight from participants, thereby fostering greater analytical\", \"Version 15 \\\\nPage 36 of 52 \\\\n© Tom Mouat 2019, 2020, 2022, 2023 \\\\nWhy I like Matrix Games \\\\n• Designing a Matrix Game can be done quickly with the minimum of fuss. \\\\n• Participating in a Matrix Game does not require an understanding of complex and \\\\nunfamiliar rules. \\\\n• Matrix games can cover a wide variety of possible scenarios, including conceptual \\\\nconflicts like Cyber. \\\\n• They are especially good in the non-kinetic, effects based, domain. \\\\n• Matrix games deal with qualitative outputs so are especially useful for non-analysts. \\\\n• The games work best with small groups, increasing immersion and buy-in to the game. \\\\n• Matrix games are extremely inexpensive (and they work best with short sessions lasting \\\\nhalf a day). \\\\n• They are perceived to be new and innovative (despite being around since 1987). \\\\n• They are easy to transport, requiring only pen and paper – with perhaps a few maps and \\\\ncounters. \\\\n• They work well in multi-domain, multi-agency contexts allowing all Actors to participate \\\\nequally. \\\\nA few Words of Warning \\\\n• The fact that a Matrix Game requires little infrastructure can be a problem – it just\"]', name='vector-search', id='1e9a3da6-9e49-4f90-9b16-7c4b65dff650', tool_call_id='call_mtPsEviVaOANhdWLf5VlaZXK'), AIMessage(content='In matrix games, random events are handled through a couple of different approaches:\\n\\n1. **Random Selection with Severity**: Events are chosen at random, with varying degrees of severity, and are applied to participants randomly during the game. This method introduces unpredictability but can lead to issues where players may feel disadvantaged purely by chance.\\n\\n2. **Turn-Based Introduction**: Alternatively, events can be chosen at random but introduced by different players in turn. This allows the player to incorporate the event into the game narrative as they see fit.\\n\\nThe author suggests that the first method can be problematic in matrix games due to their short duration and limited number of actions. Random events imposed by chance can disrupt the narrative flow and the cause-and-effect relationship that players develop through their decisions. Instead, the narrative is shaped by structured argument and discussion, where players explain why certain outcomes should occur, often supported by dice rolls to determine success or failure based on compelling arguments. \\n\\nOverall, matrix games are designed to foster engagement and immersion, and the handling of random events is carefully considered to maintain this dynamic.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 218, 'prompt_tokens': 959, 'total_tokens': 1177, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 0, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_dbaca60df0', 'id': 'chatcmpl-BV6BedljQJBZghUnhj6Lyz1Kd2HQY', 'service_tier': 'default', 'finish_reason': 'stop', 'logprobs': None}, id='run--3c9acee7-944d-4950-ab03-e23b970d9236-0', usage_metadata={'input_tokens': 959, 'output_tokens': 218, 'total_tokens': 1177, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 0}})]}\n" + ] + } + ], + "source": [ + "response = agent_graph.invoke({\"messages\": [HumanMessage(content=\"How are random events handled in matrix games?\")]})\n", + "print(response)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 1, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'checkpoint_ns': 'agent:da19a196-28cf-5dc3-ce6e-f8099004c46d', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "[\"Version 15 \\nPage 33 of 52 \\n© Tom Mouat 2019, 2020, 2022, 2023 \\nMy advice is to create a set of cards with generic crises on them, such as: Eco Terrorism, \\nRadiation Leak, Economic Downturn, Mineral Discovery, Extreme Weather, Corruption \\nScandal, etc. \\n \\nThere are two schools of thought with regard to “random events”: \\nThe events should be chosen at random, with random degrees of severity, and applied to \\nthe participants at random during the game. \\nThe events should be chosen at random, but given to a different player, in turn, throughout \\nthe game. They introduce the event as an “additional argument” that they can apply as \\nthey wish in order to contribute to the game narrative. \\nMy view that because a Matrix Game is deliberately short, with a limited number of actions \\npossible throughout the game, having “random events” happen completely at random is \\nproblematic. An Actor may be disadvantaged purely by chance, more than once during the \\ngame, which can reduce their immersion and engagement. The narrative develops during \\nthe game based on the decisions of the players and their reactions to the decisions of other \\nplayers. Having random events imposed on them by chance breaks this “cause and effect”\", \"Version 15 \\nPage 52 of 52 \\n© Tom Mouat 2019, 2020, 2022, 2023 \\nWhat are Matrix Games? \\nMatrix games are different. In a Matrix game, there are few pre-set rules limiting what \\nplayers can do. Instead, each is free to undertake any plausible action during their turn. The \\nchances of success or failure, as well as the effects of the action, are largely determine \\nthrough structured argument and discussion. This process allows for imaginative game \\ndynamics that are lively and open-ended, and yet also grounded in reality. In a Matrix \\nGame, you use words to describe why something should happen, the Facilitator or the \\nplayers (or both) decide how likely it is, and you might roll a dice to see if it happens (but \\nequally, in the face of a compelling argument, you might not need to). If you can say \\\"This \\nhappens, for the following reasons...\\\" you can play a Matrix Game. \\nMatrix games are particularly well-suited for complex conflicts and issues involving multiple \\nactors and stake-holders, varying interests and agendas, and a broad range of \\n(diplomatic/political, military, social, and economic) dimensions. The game system \\ncrowdsources ideas and insight from participants, thereby fostering greater analytical\", \"Version 15 \\nPage 36 of 52 \\n© Tom Mouat 2019, 2020, 2022, 2023 \\nWhy I like Matrix Games \\n• Designing a Matrix Game can be done quickly with the minimum of fuss. \\n• Participating in a Matrix Game does not require an understanding of complex and \\nunfamiliar rules. \\n• Matrix games can cover a wide variety of possible scenarios, including conceptual \\nconflicts like Cyber. \\n• They are especially good in the non-kinetic, effects based, domain. \\n• Matrix games deal with qualitative outputs so are especially useful for non-analysts. \\n• The games work best with small groups, increasing immersion and buy-in to the game. \\n• Matrix games are extremely inexpensive (and they work best with short sessions lasting \\nhalf a day). \\n• They are perceived to be new and innovative (despite being around since 1987). \\n• They are easy to transport, requiring only pen and paper – with perhaps a few maps and \\ncounters. \\n• They work well in multi-domain, multi-agency contexts allowing all Actors to participate \\nequally. \\nA few Words of Warning \\n• The fact that a Matrix Game requires little infrastructure can be a problem – it just\"]\n", + "metadata: {'langgraph_step': 2, 'langgraph_node': 'tools', 'langgraph_triggers': ('branch:to:tools',), 'langgraph_path': ('__pregel_pull', 'tools'), 'langgraph_checkpoint_ns': 'tools:f0c514b2-78ed-c334-9737-88e42997af60'}\n", + "\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "In\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " matrix\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " games\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + ",\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " random\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " events\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " are\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " typically\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 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'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " one\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " of\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " two\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': 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{'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " matrix\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " games\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + ",\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " the\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " narrative\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " and\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " outcomes\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " are\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " often\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " determined\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " through\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " structured\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " argument\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " and\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " discussion\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + ",\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " allowing\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " players\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " to\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " justify\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " their\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " actions\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " and\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " the\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " likelihood\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " of\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " success\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " through\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " persuasive\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + " reasoning\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + ".\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n", + "\n", + "metadata: {'langgraph_step': 3, 'langgraph_node': 'agent', 'langgraph_triggers': ('branch:to:agent',), 'langgraph_path': ('__pregel_pull', 'agent'), 'langgraph_checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'checkpoint_ns': 'agent:877b924e-7278-692f-1627-8ab0bc42299e', 'ls_provider': 'openai', 'ls_model_name': 'gpt-4o-mini', 'ls_model_type': 'chat', 'ls_temperature': 0.5}\n" + ] + } + ], + "source": [ + "async for token, metadata in agent_graph.astream(\n", + " {\"messages\": [{\"role\": \"user\", \"content\": \"How are random events handled in matrix games?\"}]},\n", + " stream_mode=\"messages\"\n", + "):\n", + " print(token.content)\n", + " print(\"metadata: \", metadata)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "content='' additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_qah9XeCDgY6byTkPLwfBlanw', 'function': {'arguments': '', 'name': 'vector-search'}, 'type': 'function'}]} response_metadata={} id='run--d6a9582a-569c-415a-83c4-6c2bb868f99f' tool_calls=[{'name': 'vector-search', 'args': {}, 'id': 'call_qah9XeCDgY6byTkPLwfBlanw', 'type': 'tool_call'}] tool_call_chunks=[{'name': 'vector-search', 'args': '', 'id': 'call_qah9XeCDgY6byTkPLwfBlanw', 'index': 0, 'type': 'tool_call_chunk'}]\n" + ] + }, + { + "ename": "TypeError", + "evalue": "object NoneType can't be used in 'await' expression", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[12]\u001b[39m\u001b[32m, line 4\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mfor\u001b[39;00m token, metadata \u001b[38;5;129;01min\u001b[39;00m agent_graph.astream(\n\u001b[32m 2\u001b[39m {\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m: [HumanMessage(content=\u001b[33m\"\u001b[39m\u001b[33mHow are random events handled in matrix games?\u001b[39m\u001b[33m\"\u001b[39m)]}, stream_mode = \u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 3\u001b[39m ):\n\u001b[32m----> \u001b[39m\u001b[32m4\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mprint\u001b[39m(token)\n\u001b[32m 5\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mprint\u001b[39m(metadata)\n", + "\u001b[31mTypeError\u001b[39m: object NoneType can't be used in 'await' expression" + ] + } + ], + "source": [ + "async for token, metadata in agent_graph.astream(\n", + " {\"messages\": [HumanMessage(content=\"How are random events handled in matrix games?\")]}, stream_mode = \"messages\"\n", + " ):\n", + " await print(token)\n", + " await print(metadata)" + ] + } + ], + "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": "3.13.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}