Format files by pre-commit run -a

Signed-off-by: Yu Ishikawa <yu-iskw@users.noreply.github.com>
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Yu Ishikawa
2024-10-30 09:56:03 +09:00
parent a3d572fb69
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@ -2,4 +2,3 @@ We take your code's security and privacy seriously:
- The Chrome extension will not send your code to any external servers.
- For private repositories, we will first validate the user's identity and permissions. After authentication, we generate responses using the existing Qodo Merge Pro integration.

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@ -2,7 +2,7 @@
With a single-click installation you will gain access to a context-aware chat on your pull requests code, a toolbar extension with multiple AI feedbacks, Qodo Merge filters, and additional abilities.
The extension is powered by top code models like Claude 3.5 Sonnet and GPT4. All the extension's features are free to use on public repositories.
The extension is powered by top code models like Claude 3.5 Sonnet and GPT4. All the extension's features are free to use on public repositories.
For private repositories, you will need to install [Qodo Merge Pro](https://github.com/apps/codiumai-pr-agent-pro) in addition to the extension (Quick GitHub app setup with a 14-day free trial. No credit card needed).
For a demonstration of how to install Qodo Merge Pro and use it with the Chrome extension, please refer to the tutorial video at the provided [link](https://codium.ai/images/pr_agent/private_repos.mp4).

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@ -1,2 +1,2 @@
## Overview
TBD
TBD

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@ -12,9 +12,9 @@ We prioritize the languages of the repo based on the following criteria:
1. Exclude binary files and non code files (e.g. images, pdfs, etc)
2. Given the main languages used in the repo
3. We sort the PR files by the most common languages in the repo (in descending order):
3. We sort the PR files by the most common languages in the repo (in descending order):
* ```[[file.py, file2.py],[file3.js, file4.jsx],[readme.md]]```
### Small PR
In this case, we can fit the entire PR in a single prompt:

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@ -1,7 +1,7 @@
## TL;DR
Qodo Merge uses an **asymmetric and dynamic context strategy** to improve AI analysis of code changes in pull requests.
It provides more context before changes than after, and dynamically adjusts the context based on code structure (e.g., enclosing functions or classes).
Qodo Merge uses an **asymmetric and dynamic context strategy** to improve AI analysis of code changes in pull requests.
It provides more context before changes than after, and dynamically adjusts the context based on code structure (e.g., enclosing functions or classes).
This approach balances providing sufficient context for accurate analysis, while avoiding needle-in-the-haystack information overload that could degrade AI performance or exceed token limits.
## Introduction
@ -17,12 +17,12 @@ Pull request code changes are retrieved in a unified diff format, showing three
code line that already existed in the file...
code line that already existed in the file...
code line that already existed in the file...
@@ -26,2 +26,4 @@ def func2():
...
```
This unified diff format can be challenging for AI models to interpret accurately, as it provides limited context for understanding the full scope of code changes.
This unified diff format can be challenging for AI models to interpret accurately, as it provides limited context for understanding the full scope of code changes.
The presentation of code using '+', '-', and ' ' symbols to indicate additions, deletions, and unchanged lines respectively also differs from the standard code formatting typically used to train AI models.
@ -37,7 +37,7 @@ Pros:
Cons:
- Excessive context may overwhelm the model with extraneous information, creating a "needle in a haystack" scenario where focusing on the relevant details (the code that actually changed) becomes challenging.
LLM quality is known to degrade when the context gets larger.
LLM quality is known to degrade when the context gets larger.
Pull requests often encompass multiple changes across many files, potentially spanning hundreds of lines of modified code. This complexity presents a genuine risk of overwhelming the model with excessive context.
- Increased context expands the token count, increasing processing time and cost, and may prevent the model from processing the entire pull request in a single pass.
@ -47,18 +47,18 @@ To address these challenges, Qodo Merge employs an **asymmetric** and **dynamic*
**Asymmetric:**
We start by recognizing that the context preceding a code change is typically more crucial for understanding the modification than the context following it.
We start by recognizing that the context preceding a code change is typically more crucial for understanding the modification than the context following it.
Consequently, Qodo Merge implements an asymmetric context policy, decoupling the context window into two distinct segments: one for the code before the change and another for the code after.
By independently adjusting each context window, Qodo Merge can supply the model with a more tailored and pertinent context for individual code changes.
By independently adjusting each context window, Qodo Merge can supply the model with a more tailored and pertinent context for individual code changes.
**Dynamic:**
We also employ a "dynamic" context strategy.
We start by recognizing that the optimal context for a code change often corresponds to its enclosing code component (e.g., function, class), rather than a fixed number of lines.
We start by recognizing that the optimal context for a code change often corresponds to its enclosing code component (e.g., function, class), rather than a fixed number of lines.
Consequently, we dynamically adjust the context window based on the code's structure, ensuring the model receives the most pertinent information for each modification.
To prevent overwhelming the model with excessive context, we impose a limit on the number of lines searched when identifying the enclosing component.
To prevent overwhelming the model with excessive context, we impose a limit on the number of lines searched when identifying the enclosing component.
This balance allows for comprehensive understanding while maintaining efficiency and limiting context token usage.
## Appendix - relevant configuration options
@ -69,4 +69,4 @@ allow_dynamic_context=true # Allow dynamic context extension
max_extra_lines_before_dynamic_context = 8 # will try to include up to X extra lines before the hunk in the patch, until we reach an enclosing function or class
patch_extra_lines_before = 3 # Number of extra lines (+3 default ones) to include before each hunk in the patch
patch_extra_lines_after = 1 # Number of extra lines (+3 default ones) to include after each hunk in the patch
```
```

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@ -41,4 +41,4 @@ Here are key metrics that the dashboard tracks:
#### Suggestion Score Distribution
![Impacted_Suggestion_Score](https://codium.ai/images/pr_agent/impacted_score_dist.png){width=512}
> Explanation: The distribution of the suggestion score for the implemented suggestions, ensuring that higher-scored suggestions truly represent more significant improvements.
> Explanation: The distribution of the suggestion score for the implemented suggestions, ensuring that higher-scored suggestions truly represent more significant improvements.

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@ -13,7 +13,7 @@ Qodo Merge utilizes a variety of core abilities to provide a comprehensive and e
## Blogs
Here are some additional technical blogs from Qodo, that delve deeper into the core capabilities and features of Large Language Models (LLMs) when applied to coding tasks.
Here are some additional technical blogs from Qodo, that delve deeper into the core capabilities and features of Large Language Models (LLMs) when applied to coding tasks.
These resources provide more comprehensive insights into leveraging LLMs for software development.
### Code Generation and LLMs
@ -25,4 +25,4 @@ These resources provide more comprehensive insights into leveraging LLMs for sof
- [Introduction to Code Coverage Testing](https://www.qodo.ai/blog/introduction-to-code-coverage-testing/)
### Cost Optimization
- [Reduce Your Costs by 30% When Using GPT for Python Code](https://www.qodo.ai/blog/reduce-your-costs-by-30-when-using-gpt-3-for-python-code/)
- [Reduce Your Costs by 30% When Using GPT for Python Code](https://www.qodo.ai/blog/reduce-your-costs-by-30-when-using-gpt-3-for-python-code/)

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@ -1,2 +1,2 @@
## Interactive invocation 💎
TBD
TBD

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@ -53,4 +53,4 @@ __old hunk__
(4) All the metadata described above represents several level of cumulative analysis - ranging from hunk level, to file level, to PR level, to organization level.
This comprehensive approach enables Qodo Merge AI models to generate more precise and contextually relevant suggestions and feedback.
This comprehensive approach enables Qodo Merge AI models to generate more precise and contextually relevant suggestions and feedback.

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@ -1,7 +1,7 @@
## TL;DR
Qodo Merge implements a **self-reflection** process where the AI model reflects, scores, and re-ranks its own suggestions, eliminating irrelevant or incorrect ones.
This approach improves the quality and relevance of suggestions, saving users time and enhancing their experience.
Qodo Merge implements a **self-reflection** process where the AI model reflects, scores, and re-ranks its own suggestions, eliminating irrelevant or incorrect ones.
This approach improves the quality and relevance of suggestions, saving users time and enhancing their experience.
Configuration options allow users to set a score threshold for further filtering out suggestions.
## Introduction - Efficient Review with Hierarchical Presentation
@ -24,7 +24,7 @@ The AI model is initially tasked with generating suggestions, and outputting the
However, in practice we observe that models often struggle to simultaneously generate high-quality code suggestions and rank them well in a single pass.
Furthermore, the initial set of generated suggestions sometimes contains easily identifiable errors.
To address these issues, we implemented a "self-reflection" process that refines suggestion ranking and eliminates irrelevant or incorrect proposals.
To address these issues, we implemented a "self-reflection" process that refines suggestion ranking and eliminates irrelevant or incorrect proposals.
This process consists of the following steps:
1. Presenting the generated suggestions to the model in a follow-up call.
@ -48,4 +48,4 @@ This results in a more refined and valuable set of suggestions for the user, sav
[pr_code_suggestions]
self_reflect_on_suggestions = true # Enable self-reflection on code suggestions
suggestions_score_threshold = 0 # Filter out suggestions with a score below this threshold (0-10)
```
```

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@ -31,11 +31,11 @@ ___
- The hierarchical structure of the suggestions is designed to help the user to _quickly_ understand them, and to decide which ones are relevant and which are not:
- Only if the `Category` header is relevant, the user should move to the summarized suggestion description.
- Only if the summarized suggestion description is relevant, the user should click on the collapsible, to read the full suggestion description with a code preview example.
- In addition, we recommend to use the [`extra_instructions`](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- In addition, we recommend to use the [`extra_instructions`](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- The interactive [PR chat](https://qodo-merge-docs.qodo.ai/chrome-extension/) also provides an easy way to get more tailored suggestions and feedback from the AI model.
___
@ -51,7 +51,7 @@ ___
#### Answer:<span style="display:none;">4</span>
No. Qodo Merge strict privacy policy ensures that your code is not stored or used for training purposes.
For a detailed overview of our data privacy policy, please refer to [this link](https://qodo-merge-docs.qodo.ai/overview/data_privacy/)
___
@ -59,9 +59,9 @@ ___
??? note "Question: Can I use my own LLM keys with Qodo Merge?"
#### Answer:<span style="display:none;">5</span>
When you self-host, you use your own keys.
When you self-host, you use your own keys.
Qodo Merge Pro with SaaS deployment is a hosted version of Qodo Merge, where Qodo manages the infrastructure and the keys.
For enterprise customers, on-prem deployment is also available. [Contact us](https://www.codium.ai/contact/#pricing) for more information.
___
___

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@ -84,10 +84,10 @@ command: improve
model1_score: 9,
model2_score: 6,
why: |
Response 1 is better because it provides more actionable and specific suggestions that directly
enhance the code's maintainability, performance, and best practices. For example, it suggests
using a variable for reusable widget instances and using named routes for navigation, which
are practical improvements. In contrast, Response 2 focuses more on general advice and less
actionable suggestions, such as changing variable names and adding comments, which are less
Response 1 is better because it provides more actionable and specific suggestions that directly
enhance the code's maintainability, performance, and best practices. For example, it suggests
using a variable for reusable widget instances and using named routes for navigation, which
are practical improvements. In contrast, Response 2 focuses more on general advice and less
actionable suggestions, such as changing variable names and adding comments, which are less
critical for immediate code improvement."
```

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@ -40,7 +40,7 @@ stages:
export azure_devops__org="$ORG_URL"
export config__git_provider="azure"
pr-agent --pr_url="$PR_URL" describe
pr-agent --pr_url="$PR_URL" review
pr-agent --pr_url="$PR_URL" improve
@ -65,11 +65,11 @@ git_provider="azure"
```
Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
Using DefaultAzureCredential you can use managed identity or Service principle, which are more secure and will create separate ADO user identity (via AAD) to the agent.
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
or use managed identity/az cli (for local development) without any additional configuration.
in any case, 'org' value must be assigned in .secrets.toml:
```
@ -80,7 +80,7 @@ org = "https://dev.azure.com/YOUR_ORGANIZATION/"
### Azure DevOps Webhook
To trigger from an Azure webhook, you need to manually [add a webhook](https://learn.microsoft.com/en-us/azure/devops/service-hooks/services/webhooks?view=azure-devops).
To trigger from an Azure webhook, you need to manually [add a webhook](https://learn.microsoft.com/en-us/azure/devops/service-hooks/services/webhooks?view=azure-devops).
Use the "Pull request created" type to trigger a review, or "Pull request commented on" to trigger any supported comment with /<command> <args> comment on the relevant PR. Note that for the "Pull request commented on" trigger, only API v2.0 is supported.

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@ -60,7 +60,7 @@ See detailed usage instructions in the [USAGE GUIDE](https://qodo-merge-docs.qod
uses: docker://codiumai/pr-agent:0.23-github_action
...
```
For enhanced security, you can also specify the Docker image by its [digest](https://hub.docker.com/repository/docker/codiumai/pr-agent/tags):
```yaml
...
@ -71,17 +71,17 @@ See detailed usage instructions in the [USAGE GUIDE](https://qodo-merge-docs.qod
...
```
### Action for GitHub enterprise server
### Action for GitHub enterprise server
!!! tip ""
To use the action with a GitHub enterprise server, add an environment variable `GITHUB.BASE_URL` with the API URL of your GitHub server.
For example, if your GitHub server is at `https://github.mycompany.com`, add the following to your workflow file:
```yaml
env:
# ... previous environment values
GITHUB.BASE_URL: "https://github.mycompany.com/api/v3"
```
---
@ -118,7 +118,7 @@ git clone https://github.com/Codium-ai/pr-agent.git
```
5) Copy the secrets template file and fill in the following:
```
cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
# Edit .secrets.toml file
@ -147,7 +147,7 @@ cp pr_agent/settings/.secrets_template.toml pr_agent/settings/.secrets.toml
- mountPath: /app/pr_agent/settings_prod
name: settings-volume
```
> Another option is to set the secrets as environment variables in your deployment environment, for example `OPENAI.KEY` and `GITHUB.USER_TOKEN`.
6) Build a Docker image for the app and optionally push it to a Docker repository. We'll use Dockerhub as an example:

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@ -74,4 +74,4 @@ docker push codiumai/pr-agent:gitlab_webhook # Push to your Docker repository
6. Create a webhook in GitLab. Set the URL to ```http[s]://<PR_AGENT_HOSTNAME>/webhook```, the secret token to the generated secret from step 2, and enable the triggers `push`, `comments` and `merge request events`.
7. Test your installation by opening a merge request or commenting on a merge request using one of CodiumAI's commands.
boxes
boxes

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@ -15,7 +15,7 @@ There are several ways to use self-hosted Qodo Merge:
- [Azure DevOps](./azure.md)
## Qodo Merge Pro 💎
Qodo Merge Pro, an app hosted by CodiumAI for GitHub\GitLab\BitBucket, is also available.
Qodo Merge Pro, an app hosted by CodiumAI for GitHub\GitLab\BitBucket, is also available.
<br>
With Qodo Merge Pro, installation is as simple as signing up and adding the Qodo Merge app to your relevant repo.
With Qodo Merge Pro, installation is as simple as signing up and adding the Qodo Merge app to your relevant repo.
See [here](https://qodo-merge-docs.qodo.ai/installation/pr_agent_pro/) for more details.

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@ -45,7 +45,7 @@ To invoke a tool (for example `review`), you can run directly from the Docker im
```
docker run --rm -it -e OPENAI.KEY=<your key> -e GITHUB.USER_TOKEN=<your token> codiumai/pr-agent:latest --pr_url <pr_url> review
```
If you are using GitHub enterprise server, you need to specify the custom url as variable.
If you are using GitHub enterprise server, you need to specify the custom url as variable.
For example, if your GitHub server is at `https://github.mycompany.com`, add the following to the command:
```
-e GITHUB.BASE_URL=https://github.mycompany.com/api/v3
@ -58,7 +58,7 @@ To invoke a tool (for example `review`), you can run directly from the Docker im
If you have a dedicated GitLab instance, you need to specify the custom url as variable:
```
-e GITLAB.URL=<your gitlab instance url>
-e GITLAB.URL=<your gitlab instance url>
```
- For BitBucket:
@ -110,4 +110,4 @@ python3 -m pr_agent.cli --issue_url <issue_url> similar_issue
[Optional] Add the pr_agent folder to your PYTHONPATH
```
export PYTHONPATH=$PYTHONPATH:<PATH to pr_agent folder>
```
```

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@ -4,12 +4,12 @@
Qodo Merge Pro is a versatile application compatible with GitHub, GitLab, and BitBucket, hosted by CodiumAI.
See [here](https://qodo-merge-docs.qodo.ai/overview/pr_agent_pro/) for more details about the benefits of using Qodo Merge Pro.
Interested parties can subscribe to Qodo Merge Pro through the following [link](https://www.codium.ai/pricing/).
Interested parties can subscribe to Qodo Merge Pro through the following [link](https://www.codium.ai/pricing/).
After subscribing, you are granted the ability to easily install the application across any of your repositories.
![Qodo Merge Pro](https://codium.ai/images/pr_agent/pr_agent_pro_install.png){width=468}
Each user who wants to use Qodo Merge pro needs to buy a seat.
Each user who wants to use Qodo Merge pro needs to buy a seat.
Initially, CodiumAI offers a two-week trial period at no cost, after which continued access requires each user to secure a personal seat.
Once a user acquires a seat, they gain the flexibility to use Qodo Merge Pro across any repository where it was enabled.
@ -65,4 +65,4 @@ Enable SSL verification: Check the box.
Youre all set!
Open a new merge request or add a MR comment with one of Qodo Merges commands such as /review, /describe or /improve.
Open a new merge request or add a MR comment with one of Qodo Merges commands such as /review, /describe or /improve.

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@ -90,4 +90,4 @@ The following diagram illustrates Qodo Merge tools and their flow:
![Qodo Merge Tools](https://codium.ai/images/pr_agent/diagram-v0.9.png)
Check out the [PR Compression strategy](core-abilities/index.md) page for more details on how we convert a code diff to a manageable LLM prompt
Check out the [PR Compression strategy](core-abilities/index.md) page for more details on how we convert a code diff to a manageable LLM prompt

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@ -19,7 +19,7 @@ Here are some of the additional features and capabilities that Qodo Merge Pro of
| Feature | Description |
|----------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [**Model selection**](https://qodo-merge-docs.qodo.ai/usage-guide/PR_agent_pro_models/) | Choose the model that best fits your needs, among top models like `GPT4` and `Claude-Sonnet-3.5`
| [**Model selection**](https://qodo-merge-docs.qodo.ai/usage-guide/PR_agent_pro_models/) | Choose the model that best fits your needs, among top models like `GPT4` and `Claude-Sonnet-3.5`
| [**Global and wiki configuration**](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) | Control configurations for many repositories from a single location; <br>Edit configuration of a single repo without committing code |
| [**Apply suggestions**](https://qodo-merge-docs.qodo.ai/tools/improve/#overview) | Generate committable code from the relevant suggestions interactively by clicking on a checkbox |
| [**Suggestions impact**](https://qodo-merge-docs.qodo.ai/tools/improve/#assessing-impact) | Automatically mark suggestions that were implemented by the user (either directly in GitHub, or indirectly in the IDE) to enable tracking of the impact of the suggestions |
@ -45,7 +45,7 @@ Here are additional tools that are available only for Qodo Merge Pro users:
### Supported languages
Qodo Merge Pro leverages the world's leading code models - Claude 3.5 Sonnet and GPT-4.
Qodo Merge Pro leverages the world's leading code models - Claude 3.5 Sonnet and GPT-4.
As a result, its primary tools such as `describe`, `review`, and `improve`, as well as the PR-chat feature, support virtually all programming languages.
For specialized commands that require static code analysis, Qodo Merge Pro offers support for specific languages. For more details about features that require static code analysis, please refer to the [documentation](https://qodo-merge-docs.qodo.ai/tools/analyze/#overview).

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@ -16,4 +16,4 @@ An example result:
**Notes**
- Language that are currently supported: Python, Java, C++, JavaScript, TypeScript, C#.
- Language that are currently supported: Python, Java, C++, JavaScript, TypeScript, C#.

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@ -16,7 +16,7 @@ It can be invoked manually by commenting on any PR:
You can run `/ask` on specific lines of code in the PR from the PR's diff view. The tool will answer questions based on the code changes in the selected lines.
- Click on the '+' sign next to the line number to select the line.
- To select multiple lines, click on the '+' sign of the first line and then hold and drag to select the rest of the lines.
- To select multiple lines, click on the '+' sign of the first line and then hold and drag to select the rest of the lines.
- write `/ask "..."` in the comment box and press `Add single comment` button.
![Ask Line](https://codium.ai/images/pr_agent/Ask_line.png){width=512}
@ -56,4 +56,4 @@ To get a direct link to an image, we recommend using the following scheme:
![Ask image5](https://codium.ai/images/pr_agent/ask_images5.png){width=512}
See a full video tutorial [here](https://codium.ai/images/pr_agent/ask_image_video.mov)
See a full video tutorial [here](https://codium.ai/images/pr_agent/ask_image_video.mov)

View File

@ -28,7 +28,7 @@ When working from CLI, you need to apply the [configuration changes](#configurat
To enable custom labels, you need to apply the [configuration changes](#configuration-options) to the local `.pr_agent.toml` file in your repository.
#### 3. Handle custom labels from the Repo's labels page 💎
> This feature is available only in Qodo Merge Pro
> This feature is available only in Qodo Merge Pro
* GitHub : `https://github.com/{owner}/{repo}/labels`, or click on the "Labels" tab in the issues or PRs page.
* GitLab : `https://gitlab.com/{owner}/{repo}/-/labels`, or click on "Manage" -> "Labels" on the left menu.

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@ -41,7 +41,7 @@ The code suggestions should focus only on the following:
- make sure every variable has a meaningful name
- make sure the code is efficient
"""
```
```
(The instructions above are just an example. We want to emphasize that the prompt should be specific and clear, and be tailored to the needs of your project)
@ -55,4 +55,4 @@ Results obtained with the prompt above:
`num_code_suggestions`: number of code suggestions provided by the 'custom_prompt' tool. Default is 4.
`enable_help_text`: if set to true, the tool will display a help text in the comment. Default is true.
`enable_help_text`: if set to true, the tool will display a help text in the comment. Default is true.

View File

@ -30,4 +30,4 @@ You can state a name of a specific component in the PR to get documentation only
**Notes**
- Language that are currently fully supported: Python, Java, C++, JavaScript, TypeScript, C#.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.
- This tool can also be triggered interactively by using the [`analyze`](./analyze.md) tool.

View File

@ -83,15 +83,15 @@ This feature is controlled by a boolean configuration parameter: `pr_code_sugges
!!! note "Wiki must be enabled"
While the aggregation process is automatic, GitHub repositories require a one-time manual wiki setup.
To initialize the wiki: navigate to `Wiki`, select `Create the first page`, then click `Save page`.
To initialize the wiki: navigate to `Wiki`, select `Create the first page`, then click `Save page`.
![pr_agent_accepted_suggestions_create_first_page.png](https://qodo.ai/images/pr_agent/pr_agent_accepted_suggestions_create_first_page.png){width=768}
Once a wiki repo is created, the tool will automatically use this wiki for tracking suggestions.
!!! note "Why a wiki page?"
Your code belongs to you, and we respect your privacy. Hence, we won't store any code suggestions in an external database.
Your code belongs to you, and we respect your privacy. Hence, we won't store any code suggestions in an external database.
Instead, we leverage a dedicated private page, within your repository wiki, to track suggestions. This approach offers convenient secure suggestion tracking while avoiding pull requests or any noise to the main repository.
@ -109,10 +109,10 @@ In addition to mistakes (which may happen, but are rare), sometimes the presente
In such cases, we recommend prioritizing the suggestion's detailed description, using the diff snippet primarily as a supporting reference.
### Dual publishing mode
Our recommended approach for presenting code suggestions is through a [table](https://qodo-merge-docs.qodo.ai/tools/improve/#overview) (`--pr_code_suggestions.commitable_code_suggestions=false`).
Our recommended approach for presenting code suggestions is through a [table](https://qodo-merge-docs.qodo.ai/tools/improve/#overview) (`--pr_code_suggestions.commitable_code_suggestions=false`).
This method significantly reduces the PR footprint and allows for quick and easy digestion of multiple suggestions.
We also offer a complementary **dual publishing mode**. When enabled, suggestions exceeding a certain score threshold are not only displayed in the table, but also presented as commitable PR comments.
We also offer a complementary **dual publishing mode**. When enabled, suggestions exceeding a certain score threshold are not only displayed in the table, but also presented as commitable PR comments.
This mode helps highlight suggestions deemed more critical.
To activate dual publishing mode, use the following setting:
@ -165,9 +165,9 @@ code_suggestions_self_review_text = "... (your text here) ..."
![self_review_2](https://codium.ai/images/pr_agent/self_review_2.png){width=512}
- If you keep the number of required reviewers for a PR to 1 and enable this configuration, this effectively means that the PR author can approve the PR by actively clicking the self-review checkbox.
To prevent unauthorized approvals, this configuration defaults to false, and cannot be altered through online comments; enabling requires a direct update to the configuration file and a commit to the repository. This ensures that utilizing the feature demands a deliberate documented decision by the repository owner.
### How many code suggestions are generated?
Qodo Merge uses a dynamic strategy to generate code suggestions based on the size of the pull request (PR). Here's how it works:
@ -199,7 +199,7 @@ Note: Chunking is primarily relevant for large PRs. For most PRs (up to 500 line
You can use the `extra_instructions` configuration option to give the AI model additional instructions for the `improve` tool.
Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify relevant aspects that you want the model to focus on.
Examples for possible instructions:
```toml
[pr_code_suggestions]
@ -216,11 +216,11 @@ Use triple quotes to write multi-line instructions. Use bullet points or numbers
>`Platforms supported: GitHub, GitLab`
Another option to give additional guidance to the AI model is by creating a dedicated [**wiki page**](https://github.com/Codium-ai/pr-agent/wiki) called `best_practices.md`.
Another option to give additional guidance to the AI model is by creating a dedicated [**wiki page**](https://github.com/Codium-ai/pr-agent/wiki) called `best_practices.md`.
This page can contain a list of best practices, coding standards, and guidelines that are specific to your repo/organization.
The AI model will use this wiki page as a reference, and in case the PR code violates any of the guidelines, it will suggest improvements accordingly, with a dedicated label: `Organization
best practice`.
best practice`.
Example for a `best_practices.md` content can be found [here](https://github.com/Codium-ai/pr-agent/blob/main/docs/docs/usage-guide/EXAMPLE_BEST_PRACTICE.md) (adapted from Google's [pyguide](https://google.github.io/styleguide/pyguide.html)).
This file is only an example. Since it is used as a prompt for an AI model, we want to emphasize the following:
@ -230,7 +230,7 @@ This file is only an example. Since it is used as a prompt for an AI model, we w
- Recommended to limit the text to 800 lines or fewer. Heres why:
1) Extremely long best practices documents may not be fully processed by the AI model.
2) A lengthy file probably represent a more "**generic**" set of guidelines, which the AI model is already familiar with. The objective is to focus on a more targeted set of guidelines tailored to the specific needs of this project.
##### Local and global best practices
@ -261,7 +261,7 @@ Using a combination of both can help the AI model to provide relevant and tailor
## Configuration options
??? example "General options"
<table>
<tr>
<td><b>extra_instructions</b></td>
@ -335,5 +335,5 @@ Using a combination of both can help the AI model to provide relevant and tailor
- Only if the `Category` header is relevant, the user should move to the summarized suggestion description
- Only if the summarized suggestion description is relevant, the user should click on the collapsible, to read the full suggestion description with a code preview example.
- In addition, we recommend to use the [`extra_instructions`](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- In addition, we recommend to use the [`extra_instructions`](https://qodo-merge-docs.qodo.ai/tools/improve/#extra-instructions-and-best-practices) field to guide the model to suggestions that are more relevant to the specific needs of the project.
- The interactive [PR chat](https://qodo-merge-docs.qodo.ai/chrome-extension/) also provides an easy way to get more tailored suggestions and feedback from the AI model.

View File

@ -26,4 +26,4 @@ The tool will generate code suggestions for the selected component (if no compon
- `num_code_suggestions`: number of code suggestions to provide. Default is 4
- `extra_instructions`: Optional extra instructions to the tool. For example: "focus on ...".
- `file`: in case there are several components with the same name, you can specify the relevant file.
- `class_name`: in case there are several methods with the same name in the same file, you can specify the relevant class name.
- `class_name`: in case there are several methods with the same name in the same file, you can specify the relevant class name.

View File

@ -19,4 +19,4 @@ Here is a list of Qodo Merge tools, each with a dedicated page that explains how
| **💎 [Improve Component (`/improve_component component_name`](./improve_component.md))** | Generates code suggestions for a specific code component that changed in the PR |
| **💎 [CI Feedback (`/checks ci_job`](./ci_feedback.md))** | Automatically generates feedback and analysis for a failed CI job |
Note that the tools marked with 💎 are available only for Qodo Merge Pro users.
Note that the tools marked with 💎 are available only for Qodo Merge Pro users.

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@ -180,10 +180,10 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
The `review` tool provides a collection of configurable feedbacks about a PR.
It is recommended to review the [Configuration options](#configuration-options) section, and choose the relevant options for your use case.
Some of the features that are disabled by default are quite useful, and should be considered for enabling. For example:
Some of the features that are disabled by default are quite useful, and should be considered for enabling. For example:
`require_score_review`, and more.
On the other hand, if you find one of the enabled features to be irrelevant for your use case, disable it. No default configuration can fit all use cases.
!!! tip "Automation"
@ -197,19 +197,19 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
!!! tip "Possible labels from the review tool"
The `review` tool can auto-generate two specific types of labels for a PR:
- a `possible security issue` label that detects if a possible [security issue](https://github.com/Codium-ai/pr-agent/blob/tr/user_description/pr_agent/settings/pr_reviewer_prompts.toml#L136) exists in the PR code (`enable_review_labels_security` flag)
- a `Review effort [1-5]: x` label, where x is the estimated effort to review the PR (`enable_review_labels_effort` flag)
Both modes are useful, and we recommended to enable them.
!!! tip "Extra instructions"
Extra instructions are important.
The `review` tool can be configured with extra instructions, which can be used to guide the model to a feedback tailored to the needs of your project.
Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify the relevant sub-tool, and the relevant aspects of the PR that you want to emphasize.
Examples of extra instructions:
```
[pr_reviewer]
@ -227,22 +227,22 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
!!! tip "Auto-approval"
Qodo Merge can approve a PR when a specific comment is invoked.
To ensure safety, the auto-approval feature is disabled by default. To enable auto-approval, you need to actively set in a pre-defined configuration file the following:
```
[pr_reviewer]
enable_auto_approval = true
```
(this specific flag cannot be set with a command line argument, only in the configuration file, committed to the repository)
After enabling, by commenting on a PR:
```
/review auto_approve
```
Qodo Merge will automatically approve the PR, and add a comment with the approval.
You can also enable auto-approval only if the PR meets certain requirements, such as that the `estimated_review_effort` label is equal or below a certain threshold, by adjusting the flag:
```
[pr_reviewer]
@ -258,4 +258,3 @@ If enabled, the `review` tool can approve a PR when a specific comment, `/review
[//]: # ( Notice If you are interested **only** in the code suggestions, it is recommended to use the [`improve`]&#40;./improve.md&#41; feature instead, since it is a dedicated only to code suggestions, and usually gives better results.)
[//]: # ( Use the `review` tool if you want to get more comprehensive feedback, which includes code suggestions as well.)

View File

@ -51,7 +51,7 @@ It can be invoked automatically from the analyze table, can be accessed by:
Choose the components you want to find similar code for, and click on the `similar` checkbox.
![analyze similar](https://codium.ai/images/pr_agent/analyze_similar.png){width=768}
If you are looking to search for similar code in the organization's codebase, you can click on the `Organization` checkbox, and it will invoke a new search command just for the organization's codebase.
If you are looking to search for similar code in the organization's codebase, you can click on the `Organization` checkbox, and it will invoke a new search command just for the organization's codebase.
![similar code global](https://codium.ai/images/pr_agent/similar_code_global.png){width=768}

View File

@ -17,7 +17,7 @@ It can be invoked manually by commenting on any PR:
Note that to perform retrieval, the `similar_issue` tool indexes all the repo previous issues (once).
**Select VectorDBs** by changing `pr_similar_issue` parameter in `configuration.toml` file
**Select VectorDBs** by changing `pr_similar_issue` parameter in `configuration.toml` file
2 VectorDBs are available to switch in
1. LanceDB
@ -40,4 +40,4 @@ These parameters can be obtained by registering to [Pinecone](https://app.pineco
- To invoke the 'similar' issue tool via online usage, [comment](https://github.com/Codium-ai/pr-agent/issues/178#issuecomment-1716934893) on a PR:
`/similar_issue`
- You can also enable the 'similar issue' tool to run automatically when a new issue is opened, by adding it to the [pr_commands list in the github_app section](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L66)
- You can also enable the 'similar issue' tool to run automatically when a new issue is opened, by adding it to the [pr_commands list in the github_app section](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L66)

View File

@ -29,4 +29,4 @@ The tool will generate tests for the selected component (if no component is stat
- `extra_instructions`: Optional extra instructions to the tool. For example: "use the following mock injection scheme: ...".
- `file`: in case there are several components with the same name, you can specify the relevant file.
- `class_name`: in case there are several methods with the same name in the same file, you can specify the relevant class name.
- `enable_help_text`: if set to true, the tool will add a help text to the PR comment. Default is true.
- `enable_help_text`: if set to true, the tool will add a help text to the PR comment. Default is true.

View File

@ -16,4 +16,4 @@ It can be invoked manually by commenting on any PR:
Under the section `pr_update_changelog`, the [configuration file](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L50) contains options to customize the 'update changelog' tool:
- `push_changelog_changes`: whether to push the changes to CHANGELOG.md, or just print them. Default is false (print only).
- `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...
- `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...

View File

@ -186,4 +186,4 @@ Do not rely on the atomicity of built-in types.
While Pythons built-in data types such as dictionaries appear to have atomic operations, there are corner cases where they arent atomic (e.g. if `__hash__` or `__eq__` are implemented as Python methods) and their atomicity should not be relied upon. Neither should you rely on atomic variable assignment (since this in turn depends on dictionaries).
Use the `queue` modules `Queue` data type as the preferred way to communicate data between threads. Otherwise, use the `threading` module and its locking primitives. Prefer condition variables and `threading.Condition` instead of using lower-level locks.
Use the `queue` modules `Queue` data type as the preferred way to communicate data between threads. Otherwise, use the `threading` module and its locking primitives. Prefer condition variables and `threading.Condition` instead of using lower-level locks.

View File

@ -66,7 +66,7 @@ Any configuration value in [configuration file](https://github.com/Codium-ai/pr-
### GitHub app automatic tools when a new PR is opened
The [github_app](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L108) section defines GitHub app specific configurations.
The [github_app](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml#L108) section defines GitHub app specific configurations.
The configuration parameter `pr_commands` defines the list of tools that will be **run automatically** when a new PR is opened.
```
@ -77,10 +77,10 @@ pr_commands = [
"/improve",
]
```
This means that when a new PR is opened/reopened or marked as ready for review, Qodo Merge will run the `describe`, `review` and `improve` tools.
This means that when a new PR is opened/reopened or marked as ready for review, Qodo Merge will run the `describe`, `review` and `improve` tools.
For the `review` tool, for example, the `num_code_suggestions` parameter will be set to 0.
You can override the default tool parameters by using one the three options for a [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/): **wiki**, **local**, or **global**.
You can override the default tool parameters by using one the three options for a [configuration file](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/): **wiki**, **local**, or **global**.
For example, if your local `.pr_agent.toml` file contains:
```
[pr_description]
@ -98,7 +98,7 @@ pr_commands = []
In addition to running automatic tools when a PR is opened, the GitHub app can also respond to new code that is pushed to an open PR.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration parameter `push_commands` defines the list of tools that will be **run automatically** when new code is pushed to the PR.
```
[github_app]
@ -112,7 +112,7 @@ This means that when new code is pushed to the PR, the Qodo Merge will run the `
## GitHub Action
`GitHub Action` is a different way to trigger Qodo Merge tools, and uses a different configuration mechanism than `GitHub App`.<br>
You can configure settings for `GitHub Action` by adding environment variables under the env section in `.github/workflows/pr_agent.yml` file.
You can configure settings for `GitHub Action` by adding environment variables under the env section in `.github/workflows/pr_agent.yml` file.
Specifically, start by setting the following environment variables:
```yaml
env:
@ -129,7 +129,7 @@ If not set, the default configuration is for all three tools to run automaticall
`github_action_config.pr_actions` is used to configure which `pull_requests` events will trigger the enabled auto flags
If not set, the default configuration is `["opened", "reopened", "ready_for_review", "review_requested"]`
`github_action_config.enable_output` are used to enable/disable github actions [output parameter](https://docs.github.com/en/actions/creating-actions/metadata-syntax-for-github-actions#outputs-for-docker-container-and-javascript-actions) (default is `true`).
`github_action_config.enable_output` are used to enable/disable github actions [output parameter](https://docs.github.com/en/actions/creating-actions/metadata-syntax-for-github-actions#outputs-for-docker-container-and-javascript-actions) (default is `true`).
Review result is output as JSON to `steps.{step-id}.outputs.review` property.
The JSON structure is equivalent to the yaml data structure defined in [pr_reviewer_prompts.toml](https://github.com/idubnori/pr-agent/blob/main/pr_agent/settings/pr_reviewer_prompts.toml).
@ -154,7 +154,7 @@ pr_commands = [
```
the GitLab webhook can also respond to new code that is pushed to an open MR.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration toggle `handle_push_trigger` can be used to enable this feature.
The configuration parameter `push_commands` defines the list of tools that will be **run automatically** when new code is pushed to the MR.
```
[gitlab]
@ -210,11 +210,11 @@ git_provider="azure"
```
Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
PAT is faster to create, but has build in expiration date, and will use the user identity for API calls.
Using DefaultAzureCredential you can use managed identity or Service principle, which are more secure and will create separate ADO user identity (via AAD) to the agent.
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
If PAT was chosen, you can assign the value in .secrets.toml.
If DefaultAzureCredential was chosen, you can assigned the additional env vars like AZURE_CLIENT_SECRET directly,
or use managed identity/az cli (for local development) without any additional configuration.
in any case, 'org' value must be assigned in .secrets.toml:
```

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@ -9,7 +9,7 @@ model_turbo = "..."
fallback_models = ["..."]
```
For models and environments not from OpenAI, you might need to provide additional keys and other parameters.
For models and environments not from OpenAI, you might need to provide additional keys and other parameters.
You can give parameters via a configuration file (see below for instructions), or from environment variables. See [litellm documentation](https://litellm.vercel.app/docs/proxy/quick_start#supported-llms) for the environment variables relevant per model.
### Azure
@ -108,7 +108,7 @@ To use Llama3 model with Groq, for example, set:
[config] # in configuration.toml
model = "llama3-70b-8192"
model_turbo = "llama3-70b-8192"
fallback_models = ["groq/llama3-70b-8192"]
fallback_models = ["groq/llama3-70b-8192"]
[groq] # in .secrets.toml
key = ... # your Groq api key
```
@ -118,7 +118,7 @@ key = ... # your Groq api key
To use Google's Vertex AI platform and its associated models (chat-bison/codechat-bison) set:
```
```
[config] # in configuration.toml
model = "vertex_ai/codechat-bison"
model_turbo = "vertex_ai/codechat-bison"
@ -170,7 +170,7 @@ KEY = "..."
To use Amazon Bedrock and its foundational models, add the below configuration:
```
```
[config] # in configuration.toml
model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0"
model_turbo="bedrock/anthropic.claude-3-sonnet-20240229-v1:0"

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@ -20,7 +20,7 @@ In terms of precedence, wiki configurations will override local configurations,
`Platforms supported: GitHub, GitLab, Bitbucket`
With Qodo Merge Pro, you can set configurations by creating a page called `.pr_agent.toml` in the [wiki](https://github.com/Codium-ai/pr-agent/wiki/pr_agent.toml) of the repo.
With Qodo Merge Pro, you can set configurations by creating a page called `.pr_agent.toml` in the [wiki](https://github.com/Codium-ai/pr-agent/wiki/pr_agent.toml) of the repo.
The advantage of this method is that it allows to set configurations without needing to commit new content to the repo - just edit the wiki page and **save**.

View File

@ -1,6 +1,6 @@
# Usage guide
This page provides a detailed guide on how to use Qodo Merge.
This page provides a detailed guide on how to use Qodo Merge.
It includes information on how to adjust Qodo Merge configurations, define which tools will run automatically, and other advanced configurations.
@ -23,4 +23,4 @@ It includes information on how to adjust Qodo Merge configurations, define which
- [Changing a model](./additional_configurations.md#changing-a-model)
- [Patch Extra Lines](./additional_configurations.md#patch-extra-lines)
- [Editing the prompts](./additional_configurations.md#editing-the-prompts)
- [Qodo Merge Pro Models](./PR_agent_pro_models.md)
- [Qodo Merge Pro Models](./PR_agent_pro_models.md)

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@ -10,4 +10,3 @@ Specifically, CLI commands can be issued by invoking a pre-built [docker image](
For online usage, you will need to setup either a [GitHub App](https://qodo-merge-docs.qodo.ai/installation/github/#run-as-a-github-app) or a [GitHub Action](https://qodo-merge-docs.qodo.ai/installation/github/#run-as-a-github-action) (GitHub), a [GitLab webhook](https://qodo-merge-docs.qodo.ai/installation/gitlab/#run-a-gitlab-webhook-server) (GitLab), or a [BitBucket App](https://qodo-merge-docs.qodo.ai/installation/bitbucket/#run-using-codiumai-hosted-bitbucket-app) (BitBucket).
These platforms also enable to run Qodo Merge specific tools automatically when a new PR is opened, or on each push to a branch.

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@ -9,10 +9,10 @@ As an alternative, you can filter in your mail provider the notifications specif
![filter_mail_notifications](https://codium.ai/images/pr_agent/filter_mail_notifications.png){width=512}
Another option to reduce the mail overload, yet still receive notifications on Qodo Merge tools, is to disable the help collapsible section in Qodo Merge bot comments.
Another option to reduce the mail overload, yet still receive notifications on Qodo Merge tools, is to disable the help collapsible section in Qodo Merge bot comments.
This can done by setting `enable_help_text=false` for the relevant tool in the configuration file.
For example, to disable the help text for the `pr_reviewer` tool, set:
```
[pr_reviewer]
enable_help_text = false
```
```

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@ -144,8 +144,8 @@ markdown_extensions:
- md_in_html
- attr_list
- pymdownx.emoji:
emoji_index: !!python/name:material.extensions.emoji.twemoji
emoji_generator: !!python/name:material.extensions.emoji.to_svg
emoji_index: "!!python/name:material.extensions.emoji.twemoji"
emoji_generator: "!!python/name:material.extensions.emoji.to_svg"
- toc:
title: On this page
toc_depth: 3

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@ -2,9 +2,9 @@
{% block scripts %}
{{ super() }}
<!-- Google Tag Manager (noscript) -->
<noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5C9KZBM3"
height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>
<!-- End Google Tag Manager (noscript) -->
{% endblock %}
{% endblock %}

View File

@ -42,7 +42,7 @@
}
.social-icons svg {
width: 24px;
width: 24px;
height: auto;
fill: white;
}

View File

@ -4,4 +4,4 @@
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