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Fix superfluous Auto-fixing parser documents (#12062)
Replace this entire comment with: - **Description:** Fix superfluous [Auto-fixing parser](https://python.langchain.com/docs/modules/model_io/output_parsers/output_fixing_parser) docs. Also switching to `langchain.pydantic_v1` from the direct reference to `pydantic`, - **Issue:** N/A, - **Dependencies:** N/A, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** @dosuken123 Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17.
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@ -7,11 +7,9 @@ But we can do other things besides throw errors. Specifically, we can pass the m
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For this example, we'll use the above Pydantic output parser. Here's what happens if we pass it a result that does not comply with the schema:
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For this example, we'll use the above Pydantic output parser. Here's what happens if we pass it a result that does not comply with the schema:
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```python
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```python
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from langchain.prompts import PromptTemplate, ChatPromptTemplate, HumanMessagePromptTemplate
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from langchain.llms import OpenAI
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from langchain.chat_models import ChatOpenAI
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from langchain.chat_models import ChatOpenAI
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from langchain.output_parsers import PydanticOutputParser
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from langchain.output_parsers import PydanticOutputParser
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from pydantic import BaseModel, Field, validator
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from langchain.pydantic_v1 import BaseModel, Field
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from typing import List
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from typing import List
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```
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```
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