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Checking docs/modules/modules.md for syntax errors... ✅ docs/modules/modules.md has no syntax errors! 1/1 ✓
Checking docs/modules/modules.md for syntax errors...
✅ docs/modules/modules.md has no syntax errors!

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Step 1: 🔎 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.

https://github.com/darinkishore/dspy/blob/c7a522a4a62f4e9a8fc5bb1a5b10ae1d8200a537/dspy/signatures/signature.py#L59-L174 https://github.com/darinkishore/dspy/blob/c7a522a4a62f4e9a8fc5bb1a5b10ae1d8200a537/dspy/signatures/__init__.py#L1-L1 https://github.com/darinkishore/dspy/blob/c7a522a4a62f4e9a8fc5bb1a5b10ae1d8200a537/README.md#L15-L46 https://github.com/darinkishore/dspy/blob/c7a522a4a62f4e9a8fc5bb1a5b10ae1d8200a537/docs/modules/modules.md#L1-L463

Step 2: ⌨️ Coding

[X] Create docs/signatures/signatures.md ✓ https://github.com/darinkishore/dspy/commit/8ee1fbcd81cf083d45d356ad1e4d97bce5c95e73 Edit
Create docs/signatures/signatures.md with contents:
• Create a new markdown file named `signatures.md` in the `docs/signatures` directory.
• Start with a brief introduction to `signatures`, their purpose, and their philosophical usage in the DSPy framework. Draw this information from the `README.md` file.
• Describe the `Signature` class and its methods in detail. Use the code in `dspy/signatures/signature.py` as a reference.
• Include a section on how to use `signatures` with examples. Use the jupyter notebooks as a reference for the examples.
• Make sure to explain the purpose and usage of each method in the `Signature` class.
• Also, explain the `SignatureMeta` metaclass and its role in the `Signature` class.

[X] Running GitHub Actions for docs/signatures/signatures.md ✓ Edit
Check docs/signatures/signatures.md with contents:

Ran GitHub Actions for 8ee1fbcd81cf083d45d356ad1e4d97bce5c95e73:

[X] Modify docs/modules/modules.md ✓ https://github.com/darinkishore/dspy/commit/345885f1c13411fe9e14e2ab65fafc0c3f3bf413 Edit
Modify docs/modules/modules.md with contents:
• In the `modules.md` file, update the documentation for each module that uses `signatures`.
• For each module, explain how the `signature` is used to define the input and output fields and to generate instructions for the language models.
• Include a link to the `signatures.md` file for more details on `signatures`.
• Update the examples for each module to show how to define and use `signatures`.

--- 
+++ 
@@ -16,9 +16,11 @@

 ## dspy.Predict

+The `Predict` class in DSPy uses a `signature` to define the input and output fields for a predictive model. The `signature` also provides instructions for the language model on how to generate predictions. If the `signature` is a string, it is processed to extract the input and output fields, generate instructions, and create a template for the specified `signature` type. For more details on `signatures`, refer to the [DSPy Signatures Documentation](../signatures/signatures.md).
+
 ### Constructor

-The constructor initializes the `Predict` class and sets up its attributes, taking in the `signature` and additional config options. If the `signature` is a string, it processes the input and output fields, generates instructions, and creates a template for the specified `signature` type.
+The constructor initializes the `Predict` class and sets up its attributes.

 ```python
 class Predict(Parameter):
@@ -30,25 +32,61 @@

         if isinstance(signature, str):
             inputs, outputs = signature.split("->")
-## dspy.Assertion Helpers
-
-### Assertion Handlers
-
-The assertion handlers are used to control the behavior of assertions and suggestions in the DSPy framework. They can be used to bypass assertions or suggestions, handle assertion errors, and backtrack suggestions.
-
-#### `noop_handler(func)`
-
-This handler is used to bypass assertions and suggestions. When used, both assertions and suggestions will become no-operations (noops).
-
-#### `bypass_suggest_handler(func)`
-
-This handler is used to bypass suggestions only. If a suggestion fails, it will be logged but not raised. If an assertion fails, it will be raised.
-
-#### `bypass_assert_handler(func)`
-
-This handler is used to bypass assertions only. If an assertion fails, it will be logged but not raised. If a suggestion fails, it will be raised.
-
-#### `assert_no_except_handler(func)`
+            inputs, outputs = inputs.split(","), outputs.split(",")
+            inputs, outputs = [field.strip() for field in inputs], [field.strip() for field in outputs]
+
+            assert all(len(field.split()) == 1 for field in (inputs + outputs))
+
+            inputs_ = ', '.join([f"`{field}`" for field in inputs])
+            outputs_ = ', '.join([f"`{field}`" for field in outputs])
+
+            instructions = f"""Given the fields {inputs_}, produce the fields {outputs_}."""
+
+            inputs = {k: InputField() for k in inputs}
+            outputs = {k: OutputField() for k in outputs}
+
+            for k, v in inputs.items():
+                v.finalize(k, infer_prefix(k))
+            
+            for k, v in outputs.items():
+                v.finalize(k, infer_prefix(k))
+
+            self.signature = dsp.Template(instructions, **inputs, **outputs)
+```
+
+**Parameters:**
+- `signature` (_Any_): Signature of predictive model.
+- `**config` (_dict_): Additional configuration parameters for model.
+
+### Method
+
+#### `__call__(self, **kwargs)`
+
+This method serves as a wrapper for the `forward` method. It allows making predictions using the `Predict` class by providing keyword arguments.
+
+**Paramters:**
+- `**kwargs`: Keyword arguments required for prediction.
+
+**Returns:**
+- The result of `forward` method.
+
+### Examples
+
+```python
+# Define a signature for a task
+class MyTask(dspy.Signature):
+    """This is a task."""
+    input1 = dspy.InputField()
+    output1 = dspy.OutputField()
+
+# Use the signature in a Predict module
+my_module = dspy.Predict(MyTask)
+
+# Call the predictor on a particular input.
+pred = my_module(input1="example input")
+
+print(f"Predicted Output: {pred.output1}")
+```

 This handler is used to ignore assertion failures and return None.

[X] Running GitHub Actions for docs/modules/modules.md ✓ Edit
Check docs/modules/modules.md with contents:

Ran GitHub Actions for 345885f1c13411fe9e14e2ab65fafc0c3f3bf413:

Step 3: 🔁 Code Review

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darinkishore / dspy

Sweep: Ensure `signatures` in the `dspy/` folder has documentation. #45

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