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Diffstat (limited to 'docs/docs/walkthroughs/create-a-recipe.md')
| -rw-r--r-- | docs/docs/walkthroughs/create-a-recipe.md | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/docs/docs/walkthroughs/create-a-recipe.md b/docs/docs/walkthroughs/create-a-recipe.md index 60bfe9a8..3b80df8a 100644 --- a/docs/docs/walkthroughs/create-a-recipe.md +++ b/docs/docs/walkthroughs/create-a-recipe.md @@ -17,8 +17,6 @@ continue/continuedev/src/continuedev/recipes ## 1. Create a step
-
-
### a. Start by creating a subclass of Step
You should first consider what will be the parameters of your recipe. These are defined as attributes in the step, as with `input_file_path: str` below
@@ -33,7 +31,7 @@ If you'd like to override the default description of your steps, which is just t - Return a static string
- Store state in a class attribute (prepend with a double underscore, which signifies (through Pydantic) that this is not a parameter for the Step, just internal state) during the run method, and then grab this in the describe method.
-- Use state in conjunction with the `models` parameter of the describe method to autogenerate a description with a language model. For example, if you'd used an attribute called `__code_written` to store a string representing some code that was written, you could implement describe as `return (await models.gpt35()).complete(f"{self.\_\_code_written}\n\nSummarize the changes made in the above code.")`.
+- Use state in conjunction with the `models` parameter of the describe method to autogenerate a description with a language model. For example, if you'd used an attribute called `__code_written` to store a string representing some code that was written, you could implement describe as `return models.gpt35.complete(f"{self.\_\_code_written}\n\nSummarize the changes made in the above code.")`.
## 2. Compose steps together into a complete recipe
|