Merge branch 'main' into lsp/config-suggestions-configured-values

Author: mohammedahmed18

codeflash/code_utils/env_utils.py

@@ -76,7 +76,7 @@ def get_codeflash_api_key() -> str:
     # within the same process, the environment variable could become outdated.
     api_key = shell_api_key or env_api_key if is_LSP_enabled() else env_api_key or shell_api_key
 
-    api_secret_docs_message = "For more information, refer to the documentation at [https://docs.codeflash.ai/getting-started/codeflash-github-actions#add-your-api-key-to-your-repository-secrets]."  # noqa
+    api_secret_docs_message = "For more information, refer to the documentation at [https://docs.codeflash.ai/optimizing-with-codeflash/codeflash-github-actions#manual-setup]."  # noqa
     if not api_key:
         msg = (
             "I didn't find a Codeflash API key in your environment.\nYou can generate one at "

docs/getting-started/local-installation.mdx

@@ -55,20 +55,6 @@ poetry add codeflash@latest --group dev
 </Tip>
 </Step>
 
-<Step title="Generate a Codeflash API Key">
-Codeflash uses cloud-hosted AI models and integrations with GitHub. You'll need an API key to authorize your access.
-
-1. Visit the [Codeflash Web App](https://app.codeflash.ai/)
-2. Sign up with your GitHub account (free)
-3. Navigate to the [API Key](https://app.codeflash.ai/app/apikeys) page to generate your API key
-
-<Note>
-**Free Tier Available**
-
-Codeflash offers a **free tier** with a limited number of optimizations. Perfect for trying it out on small projects!
-</Note>
-</Step>
-
 <Step title="Run Automatic Configuration">
 Navigate to your project's root directory (where your `pyproject.toml` file is or should be) and run:
 
@@ -95,13 +81,25 @@ When running `codeflash init`, you will see the following prompts:
 5. Which test framework do you use? (pytest/unittest)
 6. Install GitHub actions for Continuous optimization?
 ```
+
+  After you have answered these questions, the Codeflash configuration will be saved in the `pyproject.toml` file.
 </Step>
-</Steps>
 
-After you have answered these questions, the Codeflash configuration will be saved in the `pyproject.toml` file.
-To understand the configuration options, and set more advanced options, see the [Manual Configuration](/configuration) page.
+<Step title="Generate a Codeflash API Key">
+Codeflash uses cloud-hosted AI models and integrations with GitHub. If you haven't created one already, you'll need to create an API key to authorize your access.
 
-### Step 4: Install the Codeflash GitHub App
+1. Visit the [Codeflash Web App](https://app.codeflash.ai/)
+2. Sign up with your GitHub account (free)
+3. Navigate to the [API Key](https://app.codeflash.ai/app/apikeys) page to generate your API key
+
+<Note>
+**Free Tier Available**
+
+Codeflash offers a **free tier** with a limited number of optimizations. Perfect for trying it out on small projects!
+</Note>
+</Step>
+
+<Step title="Install the Codeflash GitHub App">
 
 {/* TODO: Justify to users Why we need the user to install Github App even in local Installation or local optimization? */}
 Finally, if you have not done so already, Codeflash will ask you to install the GitHub App in your repository.
@@ -110,6 +108,13 @@ The Codeflash GitHub App allows access to your repository to the codeflash-ai bo
 Please [install the Codeflash GitHub
 app](https://github.com/apps/codeflash-ai/installations/select_target) by choosing the repository you want to install
 Codeflash on.
+</Step>
+
+
+</Steps>
+
+To understand the configuration options, and set more advanced options, see the [Manual Configuration](/configuration) page.
+
 
 ## Try It Out!