Merge pull request #453 from Codium-ai/tr/v_010

Version 0.10 Release and Workflow Update

.github/workflows/pr-agent-review.yaml

@@ -26,5 +26,6 @@ jobs:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           PINECONE.API_KEY: ${{ secrets.PINECONE_API_KEY }}
           PINECONE.ENVIRONMENT: ${{ secrets.PINECONE_ENVIRONMENT }}
+          GITHUB_ACTION.AUTO_REVIEW: true
 
 

.pr_agent.toml

@@ -0,0 +1,2 @@
+[pr_reviewer]
+enable_review_labels_effort = true

INSTALL.md

@@ -410,9 +410,9 @@ BITBUCKET_BEARER_TOKEN: <your token>
 You can get a Bitbucket token for your repository by following Repository Settings -> Security -> Access Tokens.
 
 
-### Run on a hosted Bitbucket app
+### Run using CodiumAI-hosted Bitbucket app
 
-Please contact <support@codium.ai> if you're interested in a hosted BitBucket app solution that provides full functionality including PR reviews and comment handling. It's based on the [bitbucket_app.py](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/git_providers/bitbucket_provider.py) implmentation.
+Please contact <support@codium.ai> or visit [CodiumAI pricing page](https://www.codium.ai/pricing/) if you're interested in a hosted BitBucket app solution that provides full functionality including PR reviews and comment handling. It's based on the [bitbucket_app.py](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/git_providers/bitbucket_provider.py) implementation.
 
 
 =======

RELEASE_NOTES.md

@@ -1,5 +1,24 @@
-## Unreleased
-- review tool now posts persistent comments by default
+## [Version 0.10] - 2023-11-15
+- codiumai/pr-agent:0.10
+- codiumai/pr-agent:0.10-github_app
+- codiumai/pr-agent:0.10-bitbucket-app
+- codiumai/pr-agent:0.10-gitlab_webhook
+- codiumai/pr-agent:0.10-github_polling
+- codiumai/pr-agent:0.10-github_action
+
+### Added::Algo
+- Review tool now works with [persistent comments](https://github.com/Codium-ai/pr-agent/pull/451) by default
+- Bitbucket now publishes review suggestions with [code links](https://github.com/Codium-ai/pr-agent/pull/428)
+- Enabling to limit [max number of tokens](https://github.com/Codium-ai/pr-agent/pull/437/files)
+- Support ['gpt-4-1106-preview'](https://github.com/Codium-ai/pr-agent/pull/437/files) model
+- Support for Google's [Vertex AI](https://github.com/Codium-ai/pr-agent/pull/436)
+- Implementing [thresholds](https://github.com/Codium-ai/pr-agent/pull/423) for incremental PR reviews
+- Decoupled custom labels from [PR type](https://github.com/Codium-ai/pr-agent/pull/431)
+
+### Fixed
+- Fixed bug in [parsing quotes](https://github.com/Codium-ai/pr-agent/pull/446) in CLI
+- Preserve [user-added labels](https://github.com/Codium-ai/pr-agent/pull/433) in pull requests
+- Bug fixes in GitLab and BitBucket
 
 ## [Version 0.9] - 2023-10-29
 - codiumai/pr-agent:0.9

Usage.md

@@ -303,6 +303,23 @@ key = ...
 
 Also review the [AiHandler](pr_agent/algo/ai_handler.py) file for instruction how to set keys for other models.
 
+#### Vertex AI
+
+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"
+
+[vertexai] # in .secrets.toml
+vertex_project = "my-google-cloud-project"
+vertex_location = ""
+```
+
+Your [application default credentials](https://cloud.google.com/docs/authentication/application-default-credentials) will be used for authentication so there is no need to set explicit credentials in most environments.
+
+If you do want to set explicit credentials then you can use the `GOOGLE_APPLICATION_CREDENTIALS` environment variable set to a path to a json credentials file.
+
 ### Working with large PRs
 
 The default mode of CodiumAI is to have a single call per tool, using GPT-4, which has a token limit of 8000 tokens.

docs/REVIEW.md

@@ -16,17 +16,22 @@ The `review` tool can also be triggered automatically every time a new PR is ope
 
 Under the section 'pr_reviewer', the [configuration file](./../pr_agent/settings/configuration.toml#L16) contains options to customize the 'review' tool:
 
+#### enable\\disable features
 - `require_focused_review`: if set to true, the tool will add a section - 'is the PR a focused one'. Default is false.
 - `require_score_review`: if set to true, the tool will add a section that scores the PR. Default is false.
 - `require_tests_review`: if set to true, the tool will add a section that checks if the PR contains tests. Default is true.
 - `require_security_review`: if set to true, the tool will add a section that checks if the PR contains security issues. Default is true.
 - `require_estimate_effort_to_review`: if set to true, the tool will add a section that estimates thed effort needed to review the PR. Default is true.
+#### general options
 - `num_code_suggestions`: number of code suggestions provided by the 'review' tool. Default is 4.
 - `inline_code_comments`: if set to true, the tool will publish the code suggestions as comments on the code diff. Default is false.
 - `automatic_review`: if set to false, no automatic reviews will be done. Default is true.
 - `remove_previous_review_comment`: if set to true, the tool will remove the previous review comment before adding a new one. Default is false.
-- `persistent_comment`: if set to true, the review comment will be persistent. Default is true.
+- `persistent_comment`: if set to true, the review comment will be persistent, meaning that every new review request will edit the previous one. Default is true.
 - `extra_instructions`: Optional extra instructions to the tool. For example: "focus on the changes in the file X. Ignore change in ...".
+#### review labels
+- `enable_review_labels_security`: if set to true, the tool will publish a 'possible security issue' label if it detects a security issue. Default is true.
+- `enable_review_labels_effort`: if set to true, the tool will publish a 'Review effort [1-5]: x' label. Default is false.
 - To enable `custom labels`, apply the configuration changes described [here](./GENERATE_CUSTOM_LABELS.md#configuration-changes) 
 ####  Incremental Mode
 For an incremental review, which only considers changes since the last PR-Agent review, this can be useful when working on the PR in an iterative manner, and you want to focus on the changes since the last review instead of reviewing the entire PR again, the following command can be used:

pr_agent/algo/__init__.py

@@ -13,5 +13,9 @@ MAX_TOKENS = {
     'claude-2': 100000,
     'command-nightly': 4096,
     'replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1': 4096,
-    'meta-llama/Llama-2-7b-chat-hf': 4096
+    'meta-llama/Llama-2-7b-chat-hf': 4096,
+    'vertex_ai/codechat-bison': 6144,
+    'vertex_ai/codechat-bison-32k': 32000,
+    'codechat-bison': 6144,
+    'codechat-bison-32k': 32000,
 }

pr_agent/algo/ai_handler.py

@@ -23,39 +23,43 @@ class AiHandler:
         Initializes the OpenAI API key and other settings from a configuration file.
         Raises a ValueError if the OpenAI key is missing.
         """
-        try:
+        self.azure = False
+
+        if get_settings().get("OPENAI.KEY", None):
             openai.api_key = get_settings().openai.key
             litellm.openai_key = get_settings().openai.key
-            if get_settings().get("litellm.use_client"):
-                litellm_token = get_settings().get("litellm.LITELLM_TOKEN")
-                assert litellm_token, "LITELLM_TOKEN is required"
-                os.environ["LITELLM_TOKEN"] = litellm_token
-                litellm.use_client = True
-            self.azure = False
-            if get_settings().get("OPENAI.ORG", None):
-                litellm.organization = get_settings().openai.org
-            if get_settings().get("OPENAI.API_TYPE", None):
-                if get_settings().openai.api_type == "azure":
-                    self.azure = True
-                    litellm.azure_key = get_settings().openai.key
-            if get_settings().get("OPENAI.API_VERSION", None):
-                litellm.api_version = get_settings().openai.api_version
-            if get_settings().get("OPENAI.API_BASE", None):
-                litellm.api_base = get_settings().openai.api_base
-            if get_settings().get("ANTHROPIC.KEY", None):
-                litellm.anthropic_key = get_settings().anthropic.key
-            if get_settings().get("COHERE.KEY", None):
-                litellm.cohere_key = get_settings().cohere.key
-            if get_settings().get("REPLICATE.KEY", None):
-                litellm.replicate_key = get_settings().replicate.key
-            if get_settings().get("REPLICATE.KEY", None):
-                litellm.replicate_key = get_settings().replicate.key
-            if get_settings().get("HUGGINGFACE.KEY", None):
-                litellm.huggingface_key = get_settings().huggingface.key
-                if get_settings().get("HUGGINGFACE.API_BASE", None):
-                    litellm.api_base = get_settings().huggingface.api_base
-        except AttributeError as e:
-            raise ValueError("OpenAI key is required") from e
+        if get_settings().get("litellm.use_client"):
+            litellm_token = get_settings().get("litellm.LITELLM_TOKEN")
+            assert litellm_token, "LITELLM_TOKEN is required"
+            os.environ["LITELLM_TOKEN"] = litellm_token
+            litellm.use_client = True
+        if get_settings().get("OPENAI.ORG", None):
+            litellm.organization = get_settings().openai.org
+        if get_settings().get("OPENAI.API_TYPE", None):
+            if get_settings().openai.api_type == "azure":
+                self.azure = True
+                litellm.azure_key = get_settings().openai.key
+        if get_settings().get("OPENAI.API_VERSION", None):
+            litellm.api_version = get_settings().openai.api_version
+        if get_settings().get("OPENAI.API_BASE", None):
+            litellm.api_base = get_settings().openai.api_base
+        if get_settings().get("ANTHROPIC.KEY", None):
+            litellm.anthropic_key = get_settings().anthropic.key
+        if get_settings().get("COHERE.KEY", None):
+            litellm.cohere_key = get_settings().cohere.key
+        if get_settings().get("REPLICATE.KEY", None):
+            litellm.replicate_key = get_settings().replicate.key
+        if get_settings().get("REPLICATE.KEY", None):
+            litellm.replicate_key = get_settings().replicate.key
+        if get_settings().get("HUGGINGFACE.KEY", None):
+            litellm.huggingface_key = get_settings().huggingface.key
+            if get_settings().get("HUGGINGFACE.API_BASE", None):
+                litellm.api_base = get_settings().huggingface.api_base
+        if get_settings().get("VERTEXAI.VERTEX_PROJECT", None):
+            litellm.vertex_project = get_settings().vertexai.vertex_project
+            litellm.vertex_location = get_settings().get(
+                "VERTEXAI.VERTEX_LOCATION", None
+            )
 
     @property
     def deployment_id(self):

pr_agent/algo/pr_processing.py

@@ -282,7 +282,7 @@ def find_line_number_of_relevant_line_in_file(diff_files: List[FilePatchInfo],
         r"^@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))? @@[ ]?(.*)")
 
     for file in diff_files:
-        if file.filename.strip() == relevant_file:
+        if file.filename and (file.filename.strip() == relevant_file):
             patch = file.patch
             patch_lines = patch.splitlines()
 

pr_agent/git_providers/bitbucket_provider.py

@@ -153,17 +153,29 @@ class BitbucketProvider(GitProvider):
         self.diff_files = diff_files
         return diff_files
 
-    def publish_persistent_comment(self, pr_comment: str, initial_text: str, updated_text: str):
+    def get_latest_commit_url(self):
+        return self.pr.data['source']['commit']['links']['html']['href']
+
+    def get_comment_url(self, comment):
+        return comment.data['links']['html']['href']
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool = True):
         try:
             for comment in self.pr.comments():
                 body = comment.raw
-                if initial_text in body:
-                    if updated_text:
-                        pr_comment_updated = pr_comment.replace(initial_text, updated_text)
+                if initial_header in body:
+                    latest_commit_url = self.get_latest_commit_url()
+                    comment_url = self.get_comment_url(comment)
+                    if update_header:
+                        updated_header = f"{initial_header}\n\n### (review updated until commit {latest_commit_url})\n"
+                        pr_comment_updated = pr_comment.replace(initial_header, updated_header)
                     else:
                         pr_comment_updated = pr_comment
+                    get_logger().info(f"Persistent mode- updating comment {comment_url} to latest review message")
                     d = {"content": {"raw": pr_comment_updated}}
                     response = comment._update_data(comment.put(None, data=d))
+                    self.publish_comment(
+                        f"**[Persistent review]({comment_url})** updated to latest commit {latest_commit_url}")
                     return
         except Exception as e:
             get_logger().exception(f"Failed to update persistent review, error: {e}")

pr_agent/git_providers/git_provider.py

@@ -40,45 +40,10 @@ class GitProvider(ABC):
     def publish_description(self, pr_title: str, pr_body: str):
         pass
 
-    @abstractmethod
-    def publish_comment(self, pr_comment: str, is_temporary: bool = False):
-        pass
-
-    def publish_persistent_comment(self, pr_comment: str, initial_text: str, updated_text: str):
-        self.publish_comment(pr_comment)
-
-    @abstractmethod
-    def publish_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
-        pass
-
-    @abstractmethod
-    def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
-        pass
-
-    @abstractmethod
-    def publish_inline_comments(self, comments: list[dict]):
-        pass
-
     @abstractmethod
     def publish_code_suggestions(self, code_suggestions: list) -> bool:
         pass
 
-    @abstractmethod
-    def publish_labels(self, labels):
-        pass
-
-    @abstractmethod
-    def get_labels(self):
-        pass
-
-    @abstractmethod
-    def remove_initial_comment(self):
-        pass
-
-    @abstractmethod
-    def remove_comment(self, comment):
-        pass
-
     @abstractmethod
     def get_languages(self):
         pass
@@ -117,11 +82,54 @@ class GitProvider(ABC):
         return description.split("## User Description:", 1)[1].strip()
 
     @abstractmethod
-    def get_issue_comments(self):
+    def get_repo_settings(self):
+        pass
+
+    def get_pr_id(self):
+        return ""
+
+    #### comments operations ####
+    @abstractmethod
+    def publish_comment(self, pr_comment: str, is_temporary: bool = False):
+        pass
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool):
+        self.publish_comment(pr_comment)
+
+    @abstractmethod
+    def publish_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
         pass
 
     @abstractmethod
-    def get_repo_settings(self):
+    def create_inline_comment(self, body: str, relevant_file: str, relevant_line_in_file: str):
+        pass
+
+    @abstractmethod
+    def publish_inline_comments(self, comments: list[dict]):
+        pass
+
+    @abstractmethod
+    def remove_initial_comment(self):
+        pass
+
+    @abstractmethod
+    def remove_comment(self, comment):
+        pass
+
+    @abstractmethod
+    def get_issue_comments(self):
+        pass
+
+    def get_comment_url(self, comment) -> str:
+        return ""
+
+    #### labels operations ####
+    @abstractmethod
+    def publish_labels(self, labels):
+        pass
+
+    @abstractmethod
+    def get_labels(self):
         pass
 
     @abstractmethod
@@ -132,11 +140,12 @@ class GitProvider(ABC):
     def remove_reaction(self, issue_comment_id: int, reaction_id: int) -> bool:
         pass
 
+    #### commits operations ####
     @abstractmethod
     def get_commit_messages(self):
         pass
 
-    def get_pr_id(self):
+    def get_latest_commit_url(self) -> str:
         return ""
 
 def get_main_pr_language(languages, files) -> str:

pr_agent/git_providers/github_provider.py

@@ -154,16 +154,28 @@ class GithubProvider(GitProvider):
     def publish_description(self, pr_title: str, pr_body: str):
         self.pr.edit(title=pr_title, body=pr_body)
 
-    def publish_persistent_comment(self, pr_comment: str, initial_text: str, updated_text: str):
+    def get_latest_commit_url(self) -> str:
+        return self.last_commit_id.html_url
+
+    def get_comment_url(self, comment) -> str:
+        return comment.html_url
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool = True):
         prev_comments = list(self.pr.get_issue_comments())
         for comment in prev_comments:
             body = comment.body
-            if body.startswith(initial_text):
-                if updated_text:
-                    pr_comment_updated = pr_comment.replace(initial_text, updated_text)
+            if body.startswith(initial_header):
+                latest_commit_url = self.get_latest_commit_url()
+                comment_url = self.get_comment_url(comment)
+                if update_header:
+                    updated_header = f"{initial_header}\n\n### (review updated until commit {latest_commit_url})\n"
+                    pr_comment_updated = pr_comment.replace(initial_header, updated_header)
                 else:
                     pr_comment_updated = pr_comment
+                get_logger().info(f"Persistent mode- updating comment {comment_url} to latest review message")
                 response = comment.edit(pr_comment_updated)
+                self.publish_comment(
+                    f"**[Persistent review]({comment_url})** updated to latest commit {latest_commit_url}")
                 return
         self.publish_comment(pr_comment)
 

pr_agent/git_providers/gitlab_provider.py

@@ -136,15 +136,27 @@ class GitLabProvider(GitProvider):
         except Exception as e:
             get_logger().exception(f"Could not update merge request {self.id_mr} description: {e}")
 
-    def publish_persistent_comment(self, pr_comment: str, initial_text: str, updated_text: str):
+    def get_latest_commit_url(self):
+        return self.mr.commits().next().web_url
+
+    def get_comment_url(self, comment):
+        return f"{self.mr.web_url}#note_{comment.id}"
+
+    def publish_persistent_comment(self, pr_comment: str, initial_header: str, update_header: bool = True):
         try:
             for comment in self.mr.notes.list(get_all=True)[::-1]:
-                if comment.body.startswith(initial_text):
-                    if updated_text:
-                        pr_comment_updated = pr_comment.replace(initial_text, updated_text)
+                if comment.body.startswith(initial_header):
+                    latest_commit_url = self.get_latest_commit_url()
+                    comment_url = self.get_comment_url(comment)
+                    if update_header:
+                        updated_header = f"{initial_header}\n\n### (review updated until commit {latest_commit_url})\n"
+                        pr_comment_updated = pr_comment.replace(initial_header, updated_header)
                     else:
                         pr_comment_updated = pr_comment
+                    get_logger().info(f"Persistent mode- updating comment {comment_url} to latest review message")
                     response = self.mr.notes.update(comment.id, {'body': pr_comment_updated})
+                    self.publish_comment(
+                        f"**[Persistent review]({comment_url})** updated to latest commit {latest_commit_url}")
                     return
         except Exception as e:
             get_logger().exception(f"Failed to update persistent review, error: {e}")

pr_agent/settings/.secrets_template.toml

@@ -36,6 +36,10 @@ api_base = "" # the base url for your huggingface inference endpoint
 [ollama]
 api_base = "" # the base url for your local Llama 2, Code Llama, and other models inference endpoint. Acquire through https://ollama.ai/
 
+[vertexai]
+vertex_project = "" # the google cloud platform project name for your vertexai deployment
+vertex_location = "" # the google cloud platform location for your vertexai deployment
+
 [github]
 # ---- Set the following only for deployment type == "user"
 user_token = ""  # A GitHub personal access token with 'repo' scope.

pr_agent/settings/configuration.toml

@@ -16,11 +16,13 @@ secret_provider="google_cloud_storage"
 cli_mode=false
 
 [pr_reviewer] # /review #
+# enable/disable features
 require_focused_review=false
 require_score_review=false
 require_tests_review=true
 require_security_review=true
 require_estimate_effort_to_review=true
+# general options
 num_code_suggestions=4
 inline_code_comments = false
 ask_and_reflect=false
@@ -28,6 +30,9 @@ automatic_review=true
 remove_previous_review_comment=false
 persistent_comment=true
 extra_instructions = ""
+# review labels
+enable_review_labels_security=true
+enable_review_labels_effort=false
 # specific configurations for incremental review (/review -i)
 require_all_thresholds_for_incremental_review=false
 minimal_commits_for_incremental_review=0

pr_agent/settings/pr_reviewer_prompts.toml

@@ -93,7 +93,7 @@ PR Analysis:
     description: >-
       Estimate, on a scale of 1-5 (inclusive), the time and effort required to review this PR by an experienced and knowledgeable developer. 1 means short and easy review , 5 means long and hard review.
       Take into account the size, complexity, quality, and the needed changes of the PR code diff.
-      Explain your answer shortly (1-2 sentences).
+      Explain your answer shortly (1-2 sentences). Use the format: '1, because ...'
 {%- endif %}
 PR Feedback:
   General suggestions:
@@ -130,7 +130,8 @@ PR Feedback:
   Security concerns:
     type: string
     description: >-
-      yes\\no question: does this PR code introduce possible vulnerabilities such as exposure of sensitive information (e.g., API keys, secrets, passwords), or security concerns like SQL injection, XSS, CSRF, and others ? If answered 'yes', explain your answer briefly.
+      does this PR code introduce possible vulnerabilities such as exposure of sensitive information (e.g., API keys, secrets, passwords), or security concerns like SQL injection, XSS, CSRF, and others ? Answer 'No' if there are no possible issues.
+      Answer 'Yes, because ...' if there are security concerns or issues. Explain your answer shortly.
 {%- endif %}
 ```
 

pr_agent/tools/pr_description.py

@@ -158,6 +158,9 @@ class PRDescription:
             user=user_prompt
         )
 
+        if get_settings().config.verbosity_level >= 2:
+            get_logger().info(f"\nAI response:\n{response}")
+
         return response
 
     def _prepare_data(self):

pr_agent/tools/pr_reviewer.py

@@ -10,7 +10,7 @@ from yaml import SafeLoader
 from pr_agent.algo.ai_handler import AiHandler
 from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
 from pr_agent.algo.token_handler import TokenHandler
-from pr_agent.algo.utils import convert_to_markdown, load_yaml, try_fix_yaml, set_custom_labels
+from pr_agent.algo.utils import convert_to_markdown, load_yaml, try_fix_yaml, set_custom_labels, get_user_labels
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.git_providers.git_provider import IncrementalPR, get_main_pr_language
@@ -121,8 +121,8 @@ class PRReviewer:
                 # publish the review
                 if get_settings().pr_reviewer.persistent_comment and not self.incremental.is_incremental:
                     self.git_provider.publish_persistent_comment(pr_comment,
-                                                                 initial_text="## PR Analysis",
-                                                                 updated_text="## PR Analysis (updated)")
+                                                                 initial_header="## PR Analysis",
+                                                                 update_header=True)
                 else:
                     self.git_provider.publish_comment(pr_comment)
 
@@ -178,6 +178,9 @@ class PRReviewer:
             user=user_prompt
         )
 
+        if get_settings().config.verbosity_level >= 2:
+            get_logger().info(f"\nAI response:\n{response}")
+
         return response
 
     def _prepare_pr_review(self) -> str:
@@ -252,6 +255,9 @@ class PRReviewer:
             else:
                 markdown_text += actions_help_text
 
+        # Add custom labels from the review prediction (effort, security)
+        self.set_review_labels(data)
+
         # Log markdown response if verbosity level is high
         if get_settings().config.verbosity_level >= 2:
             get_logger().info(f"Markdown response:\n{markdown_text}")
@@ -372,3 +378,28 @@ class PRReviewer:
             )
             return False
         return True
+
+    def set_review_labels(self, data):
+        if (get_settings().pr_reviewer.enable_review_labels_security or
+                get_settings().pr_reviewer.enable_review_labels_effort):
+            try:
+                review_labels = []
+                if get_settings().pr_reviewer.enable_review_labels_effort:
+                    estimated_effort = data['PR Analysis']['Estimated effort to review [1-5]']
+                    estimated_effort_number = int(estimated_effort.split(',')[0])
+                    if 1 <= estimated_effort_number <= 5: # 1, because ...
+                        review_labels.append(f'Review effort [1-5]: {estimated_effort_number}')
+                if get_settings().pr_reviewer.enable_review_labels_security:
+                    security_concerns = data['PR Analysis']['Security concerns'] # yes, because ...
+                    security_concerns_bool = 'yes' in security_concerns.lower() or 'true' in security_concerns.lower()
+                    if security_concerns_bool:
+                        review_labels.append('Possible security concern')
+
+                if review_labels:
+                    current_labels = self.git_provider.get_labels()
+                    current_labels_filtered = [label for label in current_labels if
+                                               not label.lower().startswith('review effort [1-5]:') and not label.lower().startswith(
+                                                   'possible security concern')]
+                    self.git_provider.publish_labels(review_labels + current_labels_filtered)
+            except Exception as e:
+                get_logger().error(f"Failed to set review labels, error: {e}")

requirements.txt

@@ -13,7 +13,7 @@ atlassian-python-api==3.39.0
 GitPython==3.1.32
 PyYAML==6.0
 starlette-context==0.3.6
-litellm~=0.1.574
+litellm==0.12.5
 boto3==1.28.25
 google-cloud-storage==2.10.0
 ujson==5.8.0
@@ -22,3 +22,4 @@ msrest==0.7.1
 pinecone-client
 pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main
 loguru==0.7.2
+google-cloud-aiplatform==1.35.0