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sweep-ai avatar sweep-ai commented on July 23, 2024

πŸš€ Here's the PR! #33

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Sandbox Execution βœ“

Here are the sandbox execution logs prior to making any changes:

Sandbox logs for 22fc826
Checking docs/source/index.rst for syntax errors... βœ… docs/source/index.rst has no syntax errors! 1/1 βœ“
Checking docs/source/index.rst for syntax errors...
βœ… docs/source/index.rst has no syntax errors!

Sandbox passed on the latest main, so sandbox checks will be enabled for this issue.


Step 1: πŸ”Ž Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

dspy/README.md

Lines 15 to 25 in 22fc826

**DSPy** is the framework for solving advanced tasks with language models (LMs) and retrieval models (RMs). **DSPy** unifies techniques for **prompting** and **fine-tuning** LMs β€” and approaches for **reasoning**, **self-improvement**, and **augmentation with retrieval and tools**. All of these are expressed through modules that compose and learn.
To make this possible:
- **DSPy** provides **composable and declarative modules** for instructing LMs in a familiar Pythonic syntax. It upgrades "prompting techniques" like chain-of-thought and self-reflection from hand-adapted _string manipulation tricks_ into truly modular _generalized operations that learn to adapt to your task_.
- **DSPy** introduces an **automatic compiler that teaches LMs** how to conduct the declarative steps in your program. Specifically, the **DSPy compiler** will internally _trace_ your program and then **craft high-quality prompts for large LMs (or train automatic finetunes for small LMs)** to teach them the steps of your task.
The **DSPy compiler** _bootstraps_ prompts and finetunes from minimal data **without needing manual labels for the intermediate steps** in your program. Instead of brittle "prompt engineering" with hacky string manipulation, you can explore a systematic space of modular and trainable pieces.

dspy/docs/README.rst

Lines 1 to 30 in 22fc826

.. _index:
DSPy
==================
.. image:: ../images/DSPy8.png
:align: center
:width: 460px
DSPy: *Programming*β€”not promptingβ€”Foundation Models
----------------------------------------------------
.. raw:: html
`DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines <https://arxiv.org/abs/2310.03714>`__ .. image:: https://colab.research.google.com/assets/colab-badge.svg :align: center
Paper: `DSPy: Compiling Declarative Language Model Calls into
Self-Improving Pipelines <https://arxiv.org/abs/2310.03714>`__
**DSPy** is the framework for solving advanced tasks with language
models (LMs) and retrieval models (RMs). **DSPy** unifies techniques for
**prompting** and **fine-tuning** LMs β€” and approaches for
**reasoning**, **self-improvement**, and **augmentation with retrieval
and tools**. All of these are expressed through modules that compose and
learn.
To make this possible:
- **DSPy** provides **composable and declarative modules** for instructing LMs in a familiar Pythonic syntax. It upgrades "prompting techniques" like chain-of-thought and self-reflection from hand-adapted *string manipulation tricks* into truly modular *generalized operations that learn to adapt to your task*.

https://github.com/darinkishore/dspy/blob/22fc826c84f75581cdcb3115a24859c78f9478a3/docs/source/index.rst#L1-L0

import os
import sys
import sphinx
# Set the root path of the project
sys.path.insert(0, os.path.abspath('../../dspy/'))
# Specify the path to the master document
master_doc = 'index'
# Set the project information
project = 'DSPy'
author = 'DSPy Team'
version = sphinx.__display_version__
# Add the extensions that Sphinx should use
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.viewcode',
'sphinx.ext.napoleon',
'sphinx.ext.autosummary',
]

I also found some related docs:

Summary of related docs from https://nextjs.org/docs:

To create an introduction to the package in docs/source/index.rst, you can refer to the content in docs/README.rst.

Next, you can add links to each of the other .rst files in the docs directory in the sidebar of the index page. The files you need to link to are language_models_client.rst, retrieval_models_client.rst, teleprompters.rst, using_local_models.rst, and modules.rst.

Sources:


Step 2: ⌨️ Coding

Modify docs/source/index.rst with contents:
β€’ Copy the introduction to the DSPy package from the `docs/README.rst` file and paste it into the `docs/source/index.rst` file. This will serve as the introduction to the package in the index page of the documentation.
β€’ After the introduction, add a toctree directive to the `docs/source/index.rst` file. The toctree directive should be formatted as follows: ``` .. toctree:: :maxdepth: 2
 language_models_client
 retrieval_models_client
 teleprompters
 using_local_models
 modules
This will add links to the `language_models_client.rst`, `retrieval_models_client.rst`, `teleprompters.rst`, `using_local_models.rst`, and `modules.rst` files in the sidebar of the index page. The `:maxdepth: 2` option specifies that the table of contents should include sub-headings up to two levels deep from each of the linked files.

<pre>--- 
+++ 
@@ -1 +1,24 @@
.. _index:
+
+DSPy
+==================
+
+.. image:: ../images/DSPy8.png
+   :align: center
+   :width: 460px
+
+DSPy: *Programming*
+
+......
+
+Contributors & Acknowledgements
+===============================
+
+.. toctree::
+   :maxdepth: 2
+
+   language_models_client
+   retrieval_models_client
+   teleprompters
+   using_local_models
+   modules
</pre>
</blockquote>

- [X] Running GitHub Actions for `docs/source/index.rst` βœ“  [Edit](https://github.com/darinkishore/dspy/edit/sweep/create_docssourceindexrst/docs/source/index.rst#L1-L1)
<blockquote>Check docs/source/index.rst with contents:

Ran GitHub Actions for <a href="https://github.com/darinkishore/dspy/commit/7d8ffeb731e2128dc59cd1614d94f393faf403e4">7d8ffeb731e2128dc59cd1614d94f393faf403e4</a>:



</blockquote>


---
## Step 3: πŸ” Code Review
I have finished reviewing the code for completeness. I did not find errors for  [`sweep/create_docssourceindexrst`](https://github.com/darinkishore/dspy/commits/sweep/create_docssourceindexrst).



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