Tr/claude3 #746

mrT23 · 2024-03-06T06:20:28Z

Type

enhancement, bug_fix

Description

Added support for the anthropic/claude-3-opus-20240229 model in the AI model configuration.
Implemented command execution functionality for the Bitbucket app, allowing for dynamic command execution based on PR events.
Refactored error handling in litellm_ai_handler.py by removing TryAgain exception usage.
Updated documentation to include instructions for configuring Anthropic models and the new pr_commands feature for Bitbucket app.
Updated configuration.toml to demonstrate the use of pr_commands for Bitbucket app.
Upgraded litellm and openai dependencies to newer versions.

Changes walkthrough

Relevant files

Enhancement

__init__.py `Add Support for Anthropic Claude-3 Model` pr_agent/algo/init.py Added support for the `anthropic/claude-3-opus-20240229` model with a token limit of 100000.	+2/-1
bitbucket_app.py `Implement Command Execution Functionality for Bitbucket App` pr_agent/servers/bitbucket_app.py Added `update_settings_from_args` function call to update settings based on command arguments. Implemented `_perform_commands_bitbucket` to execute configured commands for Bitbucket PRs. Modified webhook handler to support new command execution logic based on `pr_commands` configuration.	+32/-12

Bug_fix

litellm_ai_handler.py `Refactor Error Handling and Remove Detailed Docstring` pr_agent/algo/ai_handlers/litellm_ai_handler.py Commented out import statement for `TryAgain` from `openai.error`. Removed the `TryAgain` exception from the retry decorator and the exception handling. Removed detailed docstring for `chat_completion` method. Changed the exception raised from `TryAgain` to `APIError` when the response is None or empty.	+6/-24

Documentation

Usage.md `Update Documentation for Bitbucket App Configuration and Anthropic` `Models Support` Usage.md Updated documentation to reflect new `pr_commands` configuration for Bitbucket app. Added documentation for configuring Anthropic models.	+21/-12

Configuration changes

configuration.toml `Update Configuration for Bitbucket App Command Execution` pr_agent/settings/configuration.toml Added `pr_commands` configuration for Bitbucket app.	+4/-3

Dependencies

requirements.txt Upgrade Dependencies `litellm` and `openai` requirements.txt Upgraded `litellm` to version 1.29.1. Upgraded `openai` to version 1.13.3.	+2/-2

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codiumai-pr-agent-pro · 2024-03-06T06:21:41Z

PR Code Suggestions

Category	Suggestions
Maintainability	Standardize the naming convention for model keys. Consider using a consistent naming convention for model keys. The existing keys use dots (.) and dashes (-) interchangeably. Standardizing the naming convention improves readability and maintainability. pr_agent/algo/init.py [24-25] 'anthropic.claude-v2': 100000, -'anthropic/claude-3-opus-20240229': 100000, +'anthropic.claude-3-opus-20240229': 100000, # Consider changing to 'anthropic.claude-3-opus-20240229'
Possible issue	Verify and document the removal of `TryAgain` exception handling. Since `TryAgain` exception is removed from the retry decorator and exception handling, ensure that the logic previously handled by catching `TryAgain` is now adequately addressed by other means, or if it was unnecessary, document the rationale for its removal. pr_agent/algo/ai_handlers/litellm_ai_handler.py [81] -@retry(exceptions=(APIError, Timeout, AttributeError, RateLimitError), +@retry(exceptions=(APIError, Timeout, AttributeError, RateLimitError), # Ensure removal of TryAgain is intentional and handled.
Security	Sanitize input arguments to prevent command injection. Ensure that the `update_settings_from_args` function sanitizes input arguments to prevent potential command injection vulnerabilities, especially since commands are dynamically constructed and executed based on input. pr_agent/servers/bitbucket_app.py [85-86] -other_args = update_settings_from_args(args) +other_args = update_settings_from_args(args) # Ensure input sanitization to prevent command injection. new_command = ' '.join([command] + other_args)
Enhancement	Add error handling for JSON parsing in `handle_manifest`. Consider adding error handling for JSON parsing in the `handle_manifest` function to gracefully handle cases where the manifest is not valid JSON, improving the robustness of the application. pr_agent/servers/bitbucket_app.py [73] -manifest_obj = json.loads(manifest) +try: + manifest_obj = json.loads(manifest) +except json.JSONDecodeError: + return JSONResponse({"error": "Invalid manifest format"}, status_code=400)
Documentation	Clarify `pr_commands` usage in the documentation. Update the documentation to include examples or further clarification on how to use the `pr_commands` configuration for Bitbucket, especially regarding the syntax and available commands, to aid users in configuring their automatic PR handling. Usage.md [271-274] pr_commands = [ - "/review --pr_reviewer.num_code_suggestions=0", - "/improve --pr_code_suggestions.summarize=false", + "/review --pr_reviewer.num_code_suggestions=0", # Example: Disables code suggestions during review. + "/improve --pr_code_suggestions.summarize=false", # Example: Runs code improvement without summarization. ] +# Add more examples and clarification on available commands and syntax.

✨ Improve tool usage guide:

Overview:
The improve tool scans the PR code changes, and automatically generates suggestions for improving the PR code. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.
When commenting, to edit configurations related to the improve tool (pr_code_suggestions section), use the following template:

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Enabling\disabling automation When you first install the app, the default mode for the improve tool is: `pr_commands = ["/improve --pr_code_suggestions.summarize=true", ...]` meaning the `improve` tool will run automatically on every PR, with summarization enabled. Delete this line to disable the tool from running automatically.
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A note on code suggestions quality While the current AI for code is getting better and better (GPT-4), it's not flawless. Not all the suggestions will be perfect, and a user should not accept all of them automatically. Suggestions are not meant to be simplistic. Instead, they aim to give deep feedback and raise questions, ideas and thoughts to the user, who can then use his judgment, experience, and understanding of the code base. Recommended to use the 'extra_instructions' field to guide the model to suggestions that are more relevant to the specific needs of the project, or use the custom suggestions 💎 tool With large PRs, best quality will be obtained by using 'improve --extended' mode.
More PR-Agent commands To invoke the PR-Agent, add a comment using one of the following commands: /review: Request a review of your Pull Request. /describe: Update the PR title and description based on the contents of the PR. /improve [--extended]: Suggest code improvements. Extended mode provides a higher quality feedback. /ask <QUESTION>: Ask a question about the PR. /update_changelog: Update the changelog based on the PR's contents. /add_docs 💎: Generate docstring for new components introduced in the PR. /generate_labels 💎: Generate labels for the PR based on the PR's contents. /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component. See the tools guide for more details. To list the possible configuration parameters, add a /config comment.

See the improve usage page for a more comprehensive guide on using this tool.

mrT23 · 2024-03-10T14:44:45Z

Preparing review...

mrT23 · 2024-03-10T14:49:35Z

PR Review

(Review updated until commit `26fb2a4`)

⏱️ Estimated effort to review [1-5]	3, because the PR involves multiple enhancements and bug fixes across different components, including model support addition, error handling refactoring, and dynamic command execution implementation. The changes are spread across several files and involve both Python code and configuration updates, requiring a thorough review to ensure compatibility and correctness.
🏅 Score	85
🧪 Relevant tests	No
🔍 Possible issues	Error Handling Change: The removal of `TryAgain` exception handling in `litellm_ai_handler.py` and its replacement with `APIError` might not cover all previous use cases, potentially altering the error handling flow.
🔍 Possible issues	Dynamic Command Execution: The implementation of dynamic command execution in `bitbucket_app.py` introduces complexity and could be prone to errors if not properly validated or if commands are malformed.
🔒 Security concerns	No

Code feedback:

relevant file	pr_agent/algo/__init__.py
suggestion	Consider adding a comment or documentation on the token limit rationale for the `anthropic/claude-3-opus-20240229` model to help maintainers understand the decision for future updates. [medium]
relevant line	'anthropic/claude-3-opus-20240229': 100000,

relevant file	pr_agent/algo/ai_handlers/litellm_ai_handler.py
suggestion	Ensure that replacing `TryAgain` with `APIError` in exception handling does not overlook scenarios where a retry could resolve transient issues, potentially affecting robustness. [important]
relevant line	@retry(exceptions=(APIError, Timeout, AttributeError, RateLimitError),

relevant file	pr_agent/servers/bitbucket_app.py
suggestion	Validate `commands_conf` and `args` in `_perform_commands_bitbucket` to prevent execution of unintended commands or injection vulnerabilities. Consider implementing a whitelist of allowed commands. [important]
relevant line	async def _perform_commands_bitbucket(commands_conf: str, agent: PRAgent, api_url: str, log_context: dict):

relevant file	pr_agent/settings/configuration.toml
suggestion	Review the default values in `pr_commands` for `bitbucket_app` to ensure they align with expected behavior and security best practices, especially regarding command arguments. [medium]
relevant line	"/improve --pr_code_suggestions.summarize=false",

✨ Review tool usage guide:

Overview:
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When commenting, to edit configurations related to the review tool (pr_reviewer section), use the following template:

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some_config2=...

See the review usage page for a comprehensive guide on using this tool.

almog-lv · 2024-03-11T15:38:59Z

/review

codiumai-pr-agent-pro · 2024-03-11T15:39:57Z

Persistent review updated to latest commit 26fb2a4

almog-lv · 2024-03-11T16:11:06Z

/help

codiumai-pr-agent-pro · 2024-03-11T16:11:12Z

PR Agent Walkthrough

🤖 Welcome to the PR Agent, an AI-powered tool for automated pull request analysis, feedback, suggestions and more.

Here is a list of tools you can use to interact with the PR Agent:

Tool	Description	Invoke Interactively 💎
DESCRIBE	Generates PR description - title, type, summary, code walkthrough and labels	Run
REVIEW	Adjustable feedback about the PR, possible issues, security concerns, review effort and more	Run
IMPROVE	Code suggestions for improving the PR.	Run
ANALYZE 💎	Identifies code components that changed in the PR, and enables to interactively generate tests, docs, and code suggestions for each component.	Run
UPDATE CHANGELOG	Automatically updates the changelog.	Run
ADD DOCUMENTATION 💎	Generates documentation to methods/functions/classes that changed in the PR.	Run
ASK	Answering free-text questions about the PR.	[*]
GENERATE CUSTOM LABELS	Generates custom labels for the PR, based on specific guidelines defined by the user	[*]
TEST 💎	Generates unit tests for a specific component, based on the PR code change.	[*]
CI FEEDBACK 💎	Generates feedback and analysis for a failed CI job.	[*]
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SIMILAR ISSUE	Automatically retrieves and presents similar issues.	[*]

(1) Note that each tool be triggered automatically when a new PR is opened, or called manually by commenting on a PR.

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codiumai-pr-agent-pro · 2024-03-11T16:12:26Z

PR Analysis

This screen contains a list of code components that were changed in this PR.
You can initiate specific actions for each component, by checking the relevant boxes.
After you check a box, the action will be performed automatically by PR-Agent.
Results will appear as a comment on the PR, typically after 30-60 seconds.

file

Changed components

litellm_ai_handler.py

Test Docs Improve Similar	chat_completion ^(function)	+4/-23

bitbucket_app.py

Test Docs Improve Similar	_perform_commands_bitbucket ^(function)	+15/-0
Test Docs Improve Similar	inner ^(function)	+14/-13

✨ Usage guide:

Using static code analysis capabilities, the analyze tool scans the PR code changes and find the code components (methods, functions, classes) that changed in the PR.
The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on any PR:

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codiumai-pr-agent-pro · 2024-03-11T16:12:36Z

Changelog updates:

2024-03-11

Added

Support for the anthropic/claude-3-opus-20240229 model in AI model configuration.
Command execution functionality for Bitbucket app, allowing dynamic command execution based on PR events.
Documentation updates for configuring Anthropic models and the new pr_commands feature for Bitbucket app.

Changed

Refactored error handling in litellm_ai_handler.py by removing TryAgain exception usage.
Updated configuration.toml to demonstrate the use of pr_commands for Bitbucket app.
Upgraded litellm and openai dependencies to newer versions.

to commit the new content to the CHANGELOG.md file, please type:
'/update_changelog --pr_update_changelog.push_changelog_changes=true'

codiumai-pr-agent-pro · 2024-03-11T16:12:56Z

Generated docstring for '_perform_commands_bitbucket'

_perform_commands_bitbucket

^[+15/-0]

Component signature:

async def _perform_commands_bitbucket(commands_conf: str, agent: PRAgent, api_url: str, log_context: dict):

Docstring:

"""
Perform commands specified in the configuration for Bitbucket.

Args:
    commands_conf (str): The name of the commands configuration.
    agent (PRAgent): An instance of the PRAgent class.
    api_url (str): The URL of the Bitbucket API.
    log_context (dict): A dictionary containing contextual information for logging.

Raises:
    Exception: If there is an error while performing a command.
"""

codiumai-pr-agent-pro · 2024-03-11T16:12:58Z

🔍 Finding similar code for '_perform_commands_bitbucket'

_perform_commands_bitbucket (function) ^[+15/-0]

Component signature:

async def _perform_commands_bitbucket(commands_conf: str, agent: PRAgent, api_url: str, log_context: dict):

🏷 Extracted Keywords	bitbucket , commands , async , logging , configuration
🌍 Search Context	Global Organization
🔍 Similar Code	Repository: getsentry/sentry Filename: server.py
	Repository: infobyte/faraday Filename: models.py
	Repository: thonny/thonny Filename: running.py
	Repository: microsoft/azurelinux Filename: kubevirt.spec
	Repository: oe-alliance/enigma2-plugins Filename: FritzConnection.py
📂 Relevant Repositories	No relevant repositories found

codiumai-pr-agent-pro · 2024-03-11T16:13:02Z

Generated code suggestions for 'inner'

inner

^[+14/-13]

Component signature:

async def inner():

Suggestions and improvements for code changes in inner function:

Category	Suggestions
Performance	Use a single instance of `PRAgent` instead of creating multiple instances. Replace the repeated instantiation of `PRAgent()` with a single instance to improve performance and maintainability. pr_agent/servers/bitbucket_app.py -await _perform_commands_bitbucket("pr_commands", PRAgent(), pr_url, log_context) +agent = PRAgent() +await _perform_commands_bitbucket("pr_commands", agent, pr_url, log_context)
Maintainability	Refactor repeated conditional checks into a separate function. Refactor the conditional checks for `auto_review`, `auto_improve`, and `auto_describe` to a function to reduce code duplication and improve readability. pr_agent/servers/bitbucket_app.py -if is_true(auto_review): # by default, auto review is disabled - await PRReviewer(pr_url).run() -if is_true(auto_improve): # by default, auto improve is disabled - await PRCodeSuggestions(pr_url).run() -if is_true(auto_describe): # by default, auto describe is disabled - await PRDescription(pr_url).run() +async def handle_auto_tasks(pr_url): + if is_true(get_setting_or_env("BITBUCKET_APP.AUTO_REVIEW", None)): + await PRReviewer(pr_url).run() + if is_true(get_setting_or_env("BITBUCKET_APP.AUTO_IMPROVE", None)): + await PRCodeSuggestions(pr_url).run() + if is_true(get_setting_or_env("BITBUCKET_APP.AUTO_DESCRIBE", None)): + await PRDescription(pr_url).run() +await handle_auto_tasks(pr_url)
Best practice	Use a context manager for logging context to ensure proper management. **Use a context manager for `get_logger().contextualize(log_context)` to ensure that the context is properly managed and the code is cleaner. pr_agent/servers/bitbucket_app.py
Best practice	Use specific exceptions instead of the broad `Exception` class. Avoid using the broad `Exception` class in catch statements to improve error handling specificity and maintainability. pr_agent/servers/bitbucket_app.py -except Exception as e: +except SpecificException as e: # Replace SpecificException with the actual expected exception get_logger().error(f"Failed to handle webhook: {e}")

mrT23 · 2024-04-12T17:42:29Z

/review

codiumai-pr-agent-pro · 2024-04-12T17:43:01Z

Persistent review updated to latest commit 26fb2a4

mrT23 · 2024-04-12T17:43:31Z

/improve

codiumai-pr-agent-pro · 2024-04-12T17:44:13Z

PR Code Suggestions

Category	Suggestions
Maintainability	Ensure key naming consistency in dictionaries. Ensure consistency in the use of separators for keys in dictionaries. The rest of the keys use a dot (`.`) as a separator, but the newly added key uses a slash (`/`). Consider changing the slash (`/`) to a dot (`.`) for consistency. pr_agent/algo/init.py [25] -'anthropic/claude-3-opus-20240229': 100000, +'anthropic.claude-3-opus-20240229': 100000,
Possible issue	Consider handling `TryAgain` exceptions explicitly. The removal of `TryAgain` from the exception handling in `chat_completion` and its replacement with `APIError` might change the behavior of the system in cases where a retry could resolve the issue. Consider reintroducing `TryAgain` or handling it explicitly if the logic requires it. pr_agent/algo/ai_handlers/litellm_ai_handler.py [102] -except (APIError, Timeout) as e: +except (APIError, Timeout, TryAgain) as e:
Enhancement	Use a more robust method for parsing command strings. When splitting the command string to separate the command from its arguments, there's a potential issue if the command or its arguments contain spaces that are meant to be part of the argument values. Consider using a more robust method to parse commands and their arguments to handle cases with spaces in arguments. pr_agent/servers/bitbucket_app.py [82] -split_command = command.split(" ") +import shlex +split_command = shlex.split(command)
Security	Implement validation for dynamically executed commands. The new feature for executing commands based on the `pr_commands` configuration introduces a more flexible way to handle PR events. However, it's important to ensure that the commands and their arguments are properly validated to prevent execution of unintended commands or options. Implement validation for the commands and their arguments to ensure they match expected patterns or values. pr_agent/servers/bitbucket_app.py [86] -new_command = ' '.join([command] + other_args) +# Example validation logic +valid_commands = ["review", "improve", "describe"] +if command in valid_commands: + new_command = ' '.join([command] + other_args) +else: + raise ValueError(f"Invalid command: {command}")
Security	Add a security note about managing API keys. The documentation update introduces the configuration for Anthropic models. It's crucial to remind users to secure their API keys and not commit the `.secrets.toml` file to version control. Consider adding a note about best practices for managing and securing API keys. Usage.md [476] -And also set the api key in the .secrets.toml file: +And also set the api key in the .secrets.toml file (ensure to keep this file secure and not commit it to version control):

✨ Improve tool usage guide:

Overview:
The improve tool scans the PR code changes, and automatically generates suggestions for improving the PR code. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.

When commenting, to edit configurations related to the improve tool (pr_code_suggestions section), use the following template:

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With a configuration file, use the following template:

[pr_code_suggestions]
some_config1=...
some_config2=...

See the improve usage page for a comprehensive guide on using this tool.

mrT23 added 3 commits March 6, 2024 07:53

Add command execution functionality to Bitbucket app and update confi…

2f6f1d5

…guration settings

upgrade litellm

1c856a7

Add support for Anthropic Claude-3 model in configuration and update …

26fb2a4

…Usage.md

mrT23 requested a review from okotek March 6, 2024 06:20

codiumai-pr-agent-pro bot added enhancement New feature or request bug_fix labels Mar 6, 2024

mrT23 mentioned this pull request Mar 6, 2024

Feature Request - Support Claude3 model via Amazon Bedrock #742

Closed

codiumai-pr-agent-pro bot added the Review effort [1-5]: 3 label Mar 6, 2024

okotek approved these changes Mar 6, 2024

View reviewed changes

mrT23 merged commit 8083a6e into main Mar 6, 2024
2 checks passed

mrT23 deleted the tr/claude3 branch March 6, 2024 09:08

Codium-ai deleted a comment from codiumai-pr-agent-pro bot Mar 10, 2024

mrT23 added Review effort [1-5]: 4 and removed Review effort [1-5]: 3 labels Mar 10, 2024

codiumai-pr-agent-pro bot added the Missing SOC2 PR ticket label Mar 11, 2024

codiumai-pr-agent-pro bot added Review effort [1-5]: 3 and removed Review effort [1-5]: 4 labels Apr 12, 2024

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Tr/claude3 #746

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