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docs: output parser nits (#16588)

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docs/docs/modules/model_io/output_parsers/index.mdx
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@ -33,7 +33,6 @@ LangChain has lots of different types of output parsers. This is a list of outpu
| Name | Supports Streaming | Has Format Instructions | Calls LLM | Input Type | Output Type | Description |
|-----------------|--------------------|-------------------------------|-----------|----------------------------------|----------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [OpenAITools](./types/openai_tools) | | (Passes `tools` to model) | | `Message` (with `tool_choice`) | JSON object | Uses latest OpenAI function calling args `tools` and `tool_choice` to structure the return output. If you are using a model that supports function calling, this is generally the most reliable method. |
| [OpenAIFunctions](./types/openai_functions) | ✅ | (Passes `functions` to model) | | `Message` (with `function_call`) | JSON object | Uses legacy OpenAI function calling args `functions` and `function_call` to structure the return output. |
| [JSON](./types/json) | ✅ | ✅ | | `str \| Message` | JSON object | Returns a JSON object as specified. You can specify a Pydantic model and it will return JSON for that model. Probably the most reliable output parser for getting structured data that does NOT use function calling. |
| [XML](./types/xml) | ✅ | ✅ | | `str \| Message` | `dict` | Returns a dictionary of tags. Use when XML output is needed. Use with models that are good at writing XML (like Anthropic's). |

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docs/docs/modules/model_io/output_parsers/types/openai_tools.ipynb
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@ -7,7 +7,7 @@
"source": [
"# OpenAI Tools\n",
"\n",
"These output parsers extract tool calls from OpenAI's function calling API responses. This means they are only usable with models that support function calling, and specifically the latest `tools` and `tool_choice` parameters. We recommend familiarizing yourself with [function calling](/docs/modules/model_io/chat/function_calling) before reading this gu\n",
"These output parsers extract tool calls from OpenAI's function calling API responses. This means they are only usable with models that support function calling, and specifically the latest `tools` and `tool_choice` parameters. We recommend familiarizing yourself with [function calling](/docs/modules/model_io/chat/function_calling) before reading this guide.\n",
"\n",
"There are a few different variants of output parsers:\n",
"\n",