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docs: remove warnings/update diagrams (#1746)

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* remove warnings/udpate diagrams

* replace get_relevant_documents with invoke
This commit is contained in:
Isaac Francisco
2024-09-18 08:53:28 -07:00
committed by GitHub
parent 7d3389b6f1
commit 0498ca346b
36 changed files with 463 additions and 561 deletions
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docs/docs/how-tos/async.ipynb
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docs/docs/how-tos/branching.ipynb
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docs/docs/how-tos/create-react-agent.ipynb
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docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb
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docs/docs/how-tos/human_in_the_loop/dynamic_breakpoints.ipynb
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docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb
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docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb
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docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb
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docs/docs/how-tos/many-tools.ipynb
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docs/docs/how-tos/memory/delete-messages.ipynb
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@@ -96,7 +96,7 @@
},
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"id": "378899a9-3b9a-4748-95b6-eb00e0828677",
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"outputs": [],
@@ -176,7 +176,7 @@
},
{
"cell_type": "code",
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"id": "57b27553-21be-43e5-ac48-d1d0a3aa0dca",
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@@ -189,13 +189,13 @@
"hi! I'm bob\n",
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
"\n",
"It's nice to meet you, Bob! I'm Claude, an AI assistant created by Anthropic. How can I assist you today?\n",
"It's nice to meet you, Bob! I'm an AI assistant created by Anthropic. I'm here to help out with any questions or tasks you might have. Please let me know if there's anything I can assist you with.\n",
"================================\u001b[1m Human Message \u001b[0m=================================\n",
"\n",
"what's my name?\n",
"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
"\n",
"Your name is Bob, as you introduced yourself at the beginning of our conversation.\n"
"You said your name is Bob.\n"
]
}
],
@@ -225,20 +225,20 @@
},
{
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"execution_count": 9,
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"[HumanMessage(content=\"hi! I'm bob\", id='bc1c6dd2-3bb9-4aa9-b7af-3c6af7e173ea'),\n",
" AIMessage(content=\"It's nice to meet you, Bob! I'm Claude, an AI assistant created by Anthropic. How can I assist you today?\", response_metadata={'id': 'msg_01XPSAenmSqK8rX2WgPZHfz7', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 12, 'output_tokens': 32}}, id='run-1c69af09-adb1-412d-9010-2456e5a555fb-0', usage_metadata={'input_tokens': 12, 'output_tokens': 32, 'total_tokens': 44}),\n",
" HumanMessage(content=\"what's my name?\", id='f3c71afe-8ce2-4ed0-991e-65021f03b0a5'),\n",
" AIMessage(content='Your name is Bob, as you introduced yourself at the beginning of our conversation.', response_metadata={'id': 'msg_01BPZdwsjuMAbC1YAkqawXaF', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 52, 'output_tokens': 19}}, id='run-b2eb9137-2f4e-446f-95f5-3d5f621a2cf8-0', usage_metadata={'input_tokens': 52, 'output_tokens': 19, 'total_tokens': 71})]"
"[HumanMessage(content=\"hi! I'm bob\", additional_kwargs={}, response_metadata={}, id='db576005-3a60-4b3b-8925-dc602ac1c571'),\n",
" AIMessage(content=\"It's nice to meet you, Bob! I'm an AI assistant created by Anthropic. I'm here to help out with any questions or tasks you might have. Please let me know if there's anything I can assist you with.\", additional_kwargs={}, response_metadata={'id': 'msg_01BKAnYxmoC6bQ9PpCuHk8ZT', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 12, 'output_tokens': 52}}, id='run-3a60c536-b207-4c56-98f3-03f94d49a9e4-0', usage_metadata={'input_tokens': 12, 'output_tokens': 52, 'total_tokens': 64}),\n",
" HumanMessage(content=\"what's my name?\", additional_kwargs={}, response_metadata={}, id='2088c465-400b-430b-ad80-fad47dc1f2d6'),\n",
" AIMessage(content='You said your name is Bob.', additional_kwargs={}, response_metadata={'id': 'msg_013UWTLTzwZi81vke8mMQ2KP', 'model': 'claude-3-haiku-20240307', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 72, 'output_tokens': 10}}, id='run-3a6883be-0c52-4938-af98-e9e7476659eb-0', usage_metadata={'input_tokens': 72, 'output_tokens': 10, 'total_tokens': 82})]"
]
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@@ -258,26 +258,19 @@
},
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"/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: The class `RemoveMessage` is in beta. It is actively being worked on, so the API may change.\n",
" warn_beta(\n"
]
},
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"{'configurable': {'thread_id': '2',\n",
" 'thread_ts': '1ef42d00-d9ad-6f24-8005-feb089654def'}}"
" 'checkpoint_ns': '',\n",
" 'checkpoint_id': '1ef75157-f251-6a2a-8005-82a86a6593a0'}}"
]
},
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docs/docs/how-tos/pass-config-to-tools.ipynb
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docs/docs/how-tos/pass-run-time-values-to-tools.ipynb
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docs/docs/how-tos/persistence.ipynb
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docs/docs/how-tos/persistence_postgres.ipynb
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},
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@@ -124,7 +124,7 @@
},
{
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@@ -134,7 +134,7 @@
},
{
"cell_type": "code",
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"id": "3fe36f67-073a-4fd7-a8f8-da196dd46a0d",
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@@ -159,7 +159,7 @@
},
{
"cell_type": "code",
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"execution_count": 4,
"id": "bd235fc7-1e5c-4db6-a90b-ea75462ccf7d",
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@@ -376,19 +376,10 @@
},
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"/Users/vadymbarda/.virtualenvs/langgraph-postgres/lib/python3.11/site-packages/psycopg_pool/pool_async.py:138: RuntimeWarning: opening the async pool AsyncConnectionPool in the constructor is deprecated and will not be supported anymore in a future release. Please use `await pool.open()`, or use the pool as context manager using: `async with AsyncConnectionPool(...) as pool: `...\n",
" warnings.warn(\n"
]
}
],
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"source": [
"from psycopg_pool import AsyncConnectionPool\n",
"\n",
@@ -401,7 +392,7 @@
" checkpointer = AsyncPostgresSaver(pool)\n",
"\n",
" # NOTE: you need to call .setup() the first time you're using your checkpointer\n",
" # await checkpointer.setup()\n",
" await checkpointer.setup()\n",
"\n",
" graph = create_react_agent(model, tools=tools, checkpointer=checkpointer)\n",
" config = {\"configurable\": {\"thread_id\": \"4\"}}\n",
docs/docs/how-tos/react-agent-from-scratch.ipynb
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docs/docs/how-tos/streaming-content.ipynb
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"text": [
"{'chunk': 'Four'}|{'chunk': 'score'}|{'chunk': 'and'}|{'chunk': 'seven'}|{'chunk': 'years'}|{'chunk': 'ago'}|{'chunk': 'our'}|{'chunk': 'fathers'}|{'chunk': '...'}|"
]
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"/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
" warn_beta(\n"
]
}
],
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docs/docs/how-tos/streaming-events-from-within-tools-without-langchain.ipynb
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},
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"id": "d59234f9-173e-469d-a725-c13e0979663e",
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@@ -190,7 +190,7 @@
},
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@@ -261,7 +261,7 @@
},
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@@ -303,18 +303,10 @@
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"/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
" warn_beta(\n"
]
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{
"name": "stdout",
"output_type": "stream",
docs/docs/how-tos/streaming-events-from-within-tools.ipynb
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},
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@@ -117,7 +117,7 @@
},
{
"cell_type": "code",
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"execution_count": 2,
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@@ -157,7 +157,7 @@
},
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@@ -177,27 +177,19 @@
},
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"/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.12/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
" warn_beta(\n"
]
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"text": [
"1. Books - A collection of written or printed works bound together with covers. They can be fiction or non-fiction and come in various genres.\n",
"1. Books: A shelf is typically used to store books. These can be novels, textbooks, or reference books, and they come in various sizes and genres.\n",
"\n",
"2. Picture frames - A decorative border for a photograph or artwork, typically made of wood, metal, or plastic. Picture frames are used to display and protect a picture or painting.\n",
"2. Picture frames: Picture frames are commonly placed on shelves to display photographs or artwork. They can be made of wood, metal, or plastic and come in different shapes and sizes.\n",
"\n",
"3. Candles - A cylinder of wax with a central wick that is lit to produce light or fragrance. Candles are often used for decoration, ambiance, or religious ceremonies."
"3. Decorative items: Shelves often display decorative items such as vases, figurines, or candles. These items can add a personal touch to a room and enhance its aesthetic appeal."
]
}
],
docs/docs/how-tos/streaming-from-final-node.ipynb
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docs/docs/how-tos/streaming-subgraphs.ipynb
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docs/docs/how-tos/streaming-tokens-without-langchain.ipynb
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@@ -87,7 +87,7 @@
},
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"id": "d59234f9-173e-469d-a725-c13e0979663e",
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@@ -99,7 +99,6 @@
" ensure_config,\n",
" get_callback_manager_for_config,\n",
")\n",
"\n",
"openai_client = AsyncOpenAI()\n",
"# define tool schema for openai tool calling\n",
"\n",
@@ -190,7 +189,7 @@
},
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@@ -240,7 +239,7 @@
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@@ -282,29 +281,21 @@
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"/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
" warn_beta(\n"
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"LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'bed', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'bed', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'bed', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
"LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': 'room', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': 'room', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': 'room', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
"LLM token {'content': '', 'additional_kwargs': {'tool_calls': [{'index': 0, 'id': None, 'function': {'arguments': '\"}', 'name': None}, 'type': None}]}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [{'name': None, 'args': '\"}', 'id': None, 'error': None, 'type': 'invalid_tool_call'}], 'usage_metadata': None, 'tool_call_chunks': [{'name': None, 'args': '\"}', 'id': None, 'index': 0, 'type': 'tool_call_chunk'}]}\n",
"LLM token {'content': 'In', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' the', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' bedroom', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
@@ -316,22 +307,11 @@
"LLM token {'content': ' shoes', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ',', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' and', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' some', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' dust', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' b', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': 'unn', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': 'ies', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': '.', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' Is', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' there', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' anything', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' else', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' you', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' would', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' like', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' to', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': ' know', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n",
"LLM token {'content': '?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n"
"LLM token {'content': '.', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'AIMessageChunk', 'name': None, 'id': None, 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None, 'tool_call_chunks': []}\n"
]
}
],
docs/docs/how-tos/streaming-tokens.ipynb
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docs/docs/how-tos/tool-calling-errors.ipynb
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docs/docs/how-tos/tool-calling.ipynb
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