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Documentation fixes (linting and broken links) (#5563)
# Lint sphinx documentation and fix broken links This PR lints multiple warnings shown in generation of the project documentation (using "make docs_linkcheck" and "make docs_build"). Additionally documentation internal links to (now?) non-existent files are modified to point to existing documents as it seemed the new correct target. The documentation is not updated content wise. There are no source code changes. Fixes # (issue) - broken documentation links to other files within the project - sphinx formatting (linting) ## Before submitting No source code changes, so no new tests added. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
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@@ -9,8 +9,8 @@
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"\n",
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"This notebook goes over adding memory to **both** of an Agent and its tools. Before going through this notebook, please walk through the following notebooks, as this will build on top of both of them:\n",
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"\n",
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"- [Adding memory to an LLM Chain](../../memory/examples/adding_memory.ipynb)\n",
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"- [Custom Agents](custom_agent.ipynb)\n",
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"- [Adding memory to an LLM Chain](../../../memory/examples/adding_memory.ipynb)\n",
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"- [Custom Agents](../../agents/custom_agent.ipynb)\n",
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"\n",
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"We are going to create a custom Agent. The agent has access to a conversation memory, search tool, and a summarization tool. And, the summarization tool also needs access to the conversation memory."
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]
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@@ -36,7 +36,7 @@ The first category of how-to guides here cover specific parts of working with ag
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:glob:
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:hidden:
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./examples/*
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./agents/examples/*
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Agent Toolkits
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@@ -46,26 +46,26 @@ The next set of examples covers agents with toolkits.
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As opposed to the examples above, these examples are not intended to show off an agent `type`,
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but rather to show off an agent applied to particular use case.
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`SQLDatabase Agent <./agent_toolkits/sql_database.html>`_: This notebook covers how to interact with an arbitrary SQL database using an agent.
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`SQLDatabase Agent <./toolkits/sql_database.html>`_: This notebook covers how to interact with an arbitrary SQL database using an agent.
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`JSON Agent <./agent_toolkits/json.html>`_: This notebook covers how to interact with a JSON dictionary using an agent.
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`JSON Agent <./toolkits/json.html>`_: This notebook covers how to interact with a JSON dictionary using an agent.
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`OpenAPI Agent <./agent_toolkits/openapi.html>`_: This notebook covers how to interact with an arbitrary OpenAPI endpoint using an agent.
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`OpenAPI Agent <./toolkits/openapi.html>`_: This notebook covers how to interact with an arbitrary OpenAPI endpoint using an agent.
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`VectorStore Agent <./agent_toolkits/vectorstore.html>`_: This notebook covers how to interact with VectorStores using an agent.
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`VectorStore Agent <./toolkits/vectorstore.html>`_: This notebook covers how to interact with VectorStores using an agent.
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`Python Agent <./agent_toolkits/python.html>`_: This notebook covers how to produce and execute python code using an agent.
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`Python Agent <./toolkits/python.html>`_: This notebook covers how to produce and execute python code using an agent.
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`Pandas DataFrame Agent <./agent_toolkits/pandas.html>`_: This notebook covers how to do question answering over a pandas dataframe using an agent. Under the hood this calls the Python agent..
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`Pandas DataFrame Agent <./toolkits/pandas.html>`_: This notebook covers how to do question answering over a pandas dataframe using an agent. Under the hood this calls the Python agent..
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`CSV Agent <./agent_toolkits/csv.html>`_: This notebook covers how to do question answering over a csv file. Under the hood this calls the Pandas DataFrame agent.
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`CSV Agent <./toolkits/csv.html>`_: This notebook covers how to do question answering over a csv file. Under the hood this calls the Pandas DataFrame agent.
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.. toctree::
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:maxdepth: 1
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:glob:
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:hidden:
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./agent_toolkits/*
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./toolkits/*
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Agent Types
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