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    "---\n",
    "sidebar_position: 2\n",
    "keywords: [RunnableBinding, LCEL]\n",
    "---"
   ]
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  {
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    "# How to add default invocation args to a Runnable\n",
    "\n",
    ":::info Prerequisites\n",
    "\n",
    "This guide assumes familiarity with the following concepts:\n",
    "- [LangChain Expression Language (LCEL)](/docs/concepts/#langchain-expression-language)\n",
    "- [Chaining runnables](/docs/how_to/sequence/)\n",
    "- [Tool calling](/docs/how_to/tool_calling)\n",
    "\n",
    ":::\n",
    "\n",
    "Sometimes we want to invoke a [`Runnable`](https://api.python.langchain.com/en/latest/runnables/langchain_core.runnables.base.Runnable.html) within a [RunnableSequence](https://api.python.langchain.com/en/latest/runnables/langchain_core.runnables.base.RunnableSequence.html) with constant arguments that are not part of the output of the preceding Runnable in the sequence, and which are not part of the user input. We can use the [`Runnable.bind()`](https://api.python.langchain.com/en/latest/runnables/langchain_core.runnables.base.Runnable.html#langchain_core.runnables.base.Runnable.bind) method to set these arguments ahead of time.\n",
    "\n",
    "## Binding stop sequences\n",
    "\n",
    "Suppose we have a simple prompt + model chain:"
   ]
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    "# | output: false\n",
    "# | echo: false\n",
    "\n",
    "%pip install -qU langchain langchain_openai\n",
    "\n",
    "import os\n",
    "from getpass import getpass\n",
    "\n",
    "os.environ[\"OPENAI_API_KEY\"] = getpass()"
   ]
  },
  {
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     "text": [
      "EQUATION: x^3 + 7 = 12\n",
      "\n",
      "SOLUTION: \n",
      "Subtract 7 from both sides:\n",
      "x^3 = 5\n",
      "\n",
      "Take the cube root of both sides:\n",
      "x = ∛5\n"
     ]
    }
   ],
   "source": [
    "from langchain_core.output_parsers import StrOutputParser\n",
    "from langchain_core.prompts import ChatPromptTemplate\n",
    "from langchain_core.runnables import RunnablePassthrough\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "prompt = ChatPromptTemplate.from_messages(\n",
    "    [\n",
    "        (\n",
    "            \"system\",\n",
    "            \"Write out the following equation using algebraic symbols then solve it. Use the format\\n\\nEQUATION:...\\nSOLUTION:...\\n\\n\",\n",
    "        ),\n",
    "        (\"human\", \"{equation_statement}\"),\n",
    "    ]\n",
    ")\n",
    "\n",
    "model = ChatOpenAI(temperature=0)\n",
    "\n",
    "runnable = (\n",
    "    {\"equation_statement\": RunnablePassthrough()} | prompt | model | StrOutputParser()\n",
    ")\n",
    "\n",
    "print(runnable.invoke(\"x raised to the third plus seven equals 12\"))"
   ]
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   "source": [
    "and want to call the model with certain `stop` words so that we shorten the output as is useful in certain types of prompting techniques. While we can pass some arguments into the constructor, other runtime args use the `.bind()` method as follows:"
   ]
  },
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   "execution_count": 3,
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     "text": [
      "EQUATION: x^3 + 7 = 12\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "runnable = (\n",
    "    {\"equation_statement\": RunnablePassthrough()}\n",
    "    | prompt\n",
    "    | model.bind(stop=\"SOLUTION\")\n",
    "    | StrOutputParser()\n",
    ")\n",
    "\n",
    "print(runnable.invoke(\"x raised to the third plus seven equals 12\"))"
   ]
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    "What you can bind to a Runnable will depend on the extra parameters you can pass when invoking it.\n",
    "\n",
    "## Attaching OpenAI tools\n",
    "\n",
    "Another common use-case is tool calling. While you should generally use the [`.bind_tools()`](/docs/how_to/tool_calling) method for tool-calling models, you can also bind provider-specific args directly if you want lower level control:"
   ]
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    "tools = [\n",
    "    {\n",
    "        \"type\": \"function\",\n",
    "        \"function\": {\n",
    "            \"name\": \"get_current_weather\",\n",
    "            \"description\": \"Get the current weather in a given location\",\n",
    "            \"parameters\": {\n",
    "                \"type\": \"object\",\n",
    "                \"properties\": {\n",
    "                    \"location\": {\n",
    "                        \"type\": \"string\",\n",
    "                        \"description\": \"The city and state, e.g. San Francisco, CA\",\n",
    "                    },\n",
    "                    \"unit\": {\"type\": \"string\", \"enum\": [\"celsius\", \"fahrenheit\"]},\n",
    "                },\n",
    "                \"required\": [\"location\"],\n",
    "            },\n",
    "        },\n",
    "    }\n",
    "]"
   ]
  },
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       "AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z0OU2CytqENVrRTI6T8DkI3u', 'function': {'arguments': '{\"location\": \"San Francisco, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_ft96IJBh0cMKkQWrZjNg4bsw', 'function': {'arguments': '{\"location\": \"New York, NY\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}, {'id': 'call_tfbtGgCLmuBuWgZLvpPwvUMH', 'function': {'arguments': '{\"location\": \"Los Angeles, CA\", \"unit\": \"celsius\"}', 'name': 'get_current_weather'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 84, 'prompt_tokens': 85, 'total_tokens': 169}, 'model_name': 'gpt-3.5-turbo-1106', 'system_fingerprint': 'fp_77a673219d', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-d57ad5fa-b52a-4822-bc3e-74f838697e18-0', tool_calls=[{'name': 'get_current_weather', 'args': {'location': 'San Francisco, CA', 'unit': 'celsius'}, 'id': 'call_z0OU2CytqENVrRTI6T8DkI3u'}, {'name': 'get_current_weather', 'args': {'location': 'New York, NY', 'unit': 'celsius'}, 'id': 'call_ft96IJBh0cMKkQWrZjNg4bsw'}, {'name': 'get_current_weather', 'args': {'location': 'Los Angeles, CA', 'unit': 'celsius'}, 'id': 'call_tfbtGgCLmuBuWgZLvpPwvUMH'}])"
      ]
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     "execution_count": 5,
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   ],
   "source": [
    "model = ChatOpenAI(model=\"gpt-3.5-turbo-1106\").bind(tools=tools)\n",
    "model.invoke(\"What's the weather in SF, NYC and LA?\")"
   ]
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   "source": [
    "## Next steps\n",
    "\n",
    "You now know how to bind runtime arguments to a Runnable.\n",
    "\n",
    "To learn more, see the other how-to guides on runnables in this section, including:\n",
    "\n",
    "- [Using configurable fields and alternatives](/docs/how_to/configure) to change parameters of a step in a chain, or even swap out entire steps, at runtime"
   ]
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