Merge branch 'base-ai-handler' into abstract-BaseAiHandler

pr_agent/agent/pr_agent.py

@@ -1,8 +1,10 @@
 import shlex
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 
 from pr_agent.algo.utils import update_settings_from_args
 from pr_agent.config_loader import get_settings
 from pr_agent.git_providers.utils import apply_repo_settings
+from pr_agent.log import get_logger
 from pr_agent.tools.pr_add_docs import PRAddDocs
 from pr_agent.tools.pr_code_suggestions import PRCodeSuggestions
 from pr_agent.tools.pr_config import PRConfig
@@ -13,6 +15,7 @@ from pr_agent.tools.pr_questions import PRQuestions
 from pr_agent.tools.pr_reviewer import PRReviewer
 from pr_agent.tools.pr_similar_issue import PRSimilarIssue
 from pr_agent.tools.pr_update_changelog import PRUpdateChangelog
+import inspect
 
 command2class = {
     "auto_review": PRReviewer,
@@ -37,10 +40,19 @@ command2class = {
 
 commands = list(command2class.keys())
 
+def has_ai_handler_param(cls: object):
+    constructor = getattr(cls, "__init__", None)
+    if constructor is not None:
+        parameters = inspect.signature(constructor).parameters
+        return "ai_handler" in parameters
+    return False
+
 class PRAgent:
-    def __init__(self):
+    def __init__(self, ai_handler: BaseAiHandler = None):
+        self.ai_handler = ai_handler
         pass
     
+
     async def handle_request(self, pr_url, request, notify=None) -> bool:
         # First, apply repo specific settings if exists
         apply_repo_settings(pr_url)
@@ -61,13 +73,18 @@ class PRAgent:
         if action == "answer":
             if notify:
                 notify()
-            await PRReviewer(pr_url, is_answer=True, args=args).run()
+            await PRReviewer(pr_url, is_answer=True, args=args, ai_handler=self.ai_handler).run()
         elif action == "auto_review":
-            await PRReviewer(pr_url, is_auto=True, args=args).run()
+            await PRReviewer(pr_url, is_auto=True, args=args, ai_handler=self.ai_handler).run()
         elif action in command2class:
             if notify:
                 notify()
+                
+            get_logger().info(f"Class: {command2class[action]}")
+            if(not has_ai_handler_param(cls=command2class[action])):
                 await command2class[action](pr_url, args=args).run()
+            else:
+                await command2class[action](pr_url, ai_handler=self.ai_handler, args=args).run()
         else:
             return False
         return True

pr_agent/algo/ai_handlers/base_ai_handler.py

@@ -0,0 +1,28 @@
+from abc import ABC, abstractmethod
+
+class BaseAiHandler(ABC):
+    """
+    This class defines the interface for an AI handler to be used by the PR Agents.  
+    """
+
+    @abstractmethod
+    def __init__(self):
+        pass
+
+    @property
+    @abstractmethod
+    def deployment_id(self):
+        pass
+
+    @abstractmethod   
+    async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2):
+        """
+        This method should be implemented to return a chat completion from the AI model.
+        Args:
+            model (str): the name of the model to use for the chat completion
+            system (str): the system message string to use for the chat completion
+            user (str): the user message string to use for the chat completion
+            temperature (float): the temperature to use for the chat completion    
+        """
+        pass
+

pr_agent/algo/ai_handlers/langchain_ai_handler.py

@@ -0,0 +1,46 @@
+from langchain.chat_models import ChatOpenAI
+from langchain.schema import SystemMessage, HumanMessage
+
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
+from pr_agent.config_loader import get_settings
+from pr_agent.log import get_logger
+
+from openai.error import APIError, RateLimitError, Timeout, TryAgain
+from retry import retry    
+
+OPENAI_RETRIES = 5
+
+class LangChainOpenAIHandler(BaseAiHandler):
+    def __init__(self):
+        # Initialize OpenAIHandler specific attributes here
+        try:
+            super().__init__()            
+            self._chat = ChatOpenAI(openai_api_key=get_settings().openai.key)
+
+        except AttributeError as e:
+            raise ValueError("OpenAI key is required") from e
+    
+    @property
+    def chat(self):
+        return self._chat
+
+    @property
+    def deployment_id(self):
+        """
+        Returns the deployment ID for the OpenAI API.
+        """
+        return get_settings().get("OPENAI.DEPLOYMENT_ID", None)
+    @retry(exceptions=(APIError, Timeout, TryAgain, AttributeError, RateLimitError),
+           tries=OPENAI_RETRIES, delay=2, backoff=2, jitter=(1, 3))
+    async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2):
+        try:
+            messages=[SystemMessage(content=system), HumanMessage(content=user)]
+            
+            # get a chat completion from the formatted messages
+            resp = self.chat(messages, model=model, temperature=temperature)
+            finish_reason="completed"
+            return resp.content, finish_reason
+        
+        except (Exception) as e:
+            get_logger().error("Unknown error during OpenAI inference: ", e)
+            raise e

pr_agent/algo/ai_handlers/litellm_ai_handler.py

@@ -6,14 +6,14 @@ import openai
 from litellm import acompletion
 from openai.error import APIError, RateLimitError, Timeout, TryAgain
 from retry import retry
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 from pr_agent.config_loader import get_settings
-from pr_agent.algo.base_ai_handler import BaseAiHandler
 from pr_agent.log import get_logger
 
 OPENAI_RETRIES = 5
 
 
-class AiHandler(BaseAiHandler):
+class LiteLLMAIHandler(BaseAiHandler):
     """
     This class handles interactions with the OpenAI API for chat completions.
     It initializes the API key and other settings from a configuration file,

pr_agent/algo/ai_handlers/openai_ai_handler.py

@@ -0,0 +1,67 @@
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
+import openai
+from openai.error import APIError, RateLimitError, Timeout, TryAgain
+from retry import retry
+
+from pr_agent.config_loader import get_settings
+from pr_agent.log import get_logger
+
+OPENAI_RETRIES = 5
+
+
+class OpenAIHandler(BaseAiHandler):
+    def __init__(self):
+        # Initialize OpenAIHandler specific attributes here
+        try:
+            super().__init__()
+            openai.api_key = get_settings().openai.key
+            if get_settings().get("OPENAI.ORG", None):
+                openai.organization = get_settings().openai.org
+            if get_settings().get("OPENAI.API_TYPE", None):
+                if get_settings().openai.api_type == "azure":
+                    self.azure = True
+                    openai.azure_key = get_settings().openai.key
+            if get_settings().get("OPENAI.API_VERSION", None):
+                openai.api_version = get_settings().openai.api_version
+            if get_settings().get("OPENAI.API_BASE", None):
+                openai.api_base = get_settings().openai.api_base
+
+        except AttributeError as e:
+            raise ValueError("OpenAI key is required") from e
+    @property
+    def deployment_id(self):
+        """
+        Returns the deployment ID for the OpenAI API.
+        """
+        return get_settings().get("OPENAI.DEPLOYMENT_ID", None)
+    
+    @retry(exceptions=(APIError, Timeout, TryAgain, AttributeError, RateLimitError),
+           tries=OPENAI_RETRIES, delay=2, backoff=2, jitter=(1, 3))
+    async def chat_completion(self, model: str, system: str, user: str, temperature: float = 0.2):
+        try:
+            deployment_id = self.deployment_id
+            get_logger().info("System: ", system)
+            get_logger().info("User: ", user)
+            messages = [{"role": "system", "content": system}, {"role": "user", "content": user}]
+
+            chat_completion = await openai.ChatCompletion.acreate(
+                model=model,
+                deployment_id=deployment_id,
+                messages=messages,
+                temperature=temperature,
+            )
+            resp = chat_completion["choices"][0]['message']['content']
+            finish_reason = chat_completion["choices"][0]["finish_reason"]
+            usage = chat_completion.get("usage")
+            get_logger().info("AI response", response=resp, messages=messages, finish_reason=finish_reason,
+                            model=model, usage=usage)
+            return resp, finish_reason       
+        except (APIError, Timeout, TryAgain) as e:
+            get_logger().error("Error during OpenAI inference: ", e)
+            raise
+        except (RateLimitError) as e:
+            get_logger().error("Rate limit error during OpenAI inference: ", e)
+            raise
+        except (Exception) as e:
+            get_logger().error("Unknown error during OpenAI inference: ", e)
+            raise TryAgain from e        

pr_agent/algo/utils.py

@@ -59,14 +59,14 @@ def convert_to_markdown(output_data: dict, gfm_supported: bool=True) -> str:
             if key.lower() == 'code feedback':
                 if gfm_supported:
                     markdown_text += f"\n\n- "
-                    markdown_text += f"<details><summary> { emoji } Code feedback:</summary>\n\n"
+                    markdown_text += f"<details><summary> { emoji } Code feedback:</summary>"
                 else:
                     markdown_text += f"\n\n- **{emoji} Code feedback:**\n\n"
             else:
                 markdown_text += f"- {emoji} **{key}:**\n\n"
-            for item in value:
+            for i, item in enumerate(value):
                 if isinstance(item, dict) and key.lower() == 'code feedback':
-                    markdown_text += parse_code_suggestion(item, gfm_supported)
+                    markdown_text += parse_code_suggestion(item, i, gfm_supported)
                 elif item:
                     markdown_text += f"  - {item}\n"
             if key.lower() == 'code feedback':
@@ -80,7 +80,7 @@ def convert_to_markdown(output_data: dict, gfm_supported: bool=True) -> str:
     return markdown_text
 
 
-def parse_code_suggestion(code_suggestions: dict, gfm_supported: bool=True) -> str:
+def parse_code_suggestion(code_suggestions: dict, i: int = 0, gfm_supported: bool = True) -> str:
     """
     Convert a dictionary of data into markdown format.
 
@@ -91,6 +91,34 @@ def parse_code_suggestion(code_suggestions: dict, gfm_supported: bool=True) -> s
         str: A string containing the markdown formatted text generated from the input dictionary.
     """
     markdown_text = ""
+    if gfm_supported and 'relevant line' in code_suggestions:
+        if i == 0:
+            markdown_text += "<hr>"
+        markdown_text += '<table>'
+        for sub_key, sub_value in code_suggestions.items():
+            try:
+                if sub_key.lower() == 'relevant file':
+                    relevant_file = sub_value.strip('`').strip('"').strip("'")
+                    markdown_text += f"<tr><td>{sub_key}</td><td>{relevant_file}</td></tr>"
+                    # continue
+                elif sub_key.lower() == 'suggestion':
+                    markdown_text += f"<tr><td>{sub_key} &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</td><td><strong>{sub_value}</strong></td></tr>"
+                elif sub_key.lower() == 'relevant line':
+                    markdown_text += f"<tr><td>relevant line</td>"
+                    sub_value_list = sub_value.split('](')
+                    relevant_line = sub_value_list[0].lstrip('`').lstrip('[')
+                    if len(sub_value_list) > 1:
+                        link = sub_value_list[1].rstrip(')').strip('`')
+                        markdown_text += f"<td><a href={link}>{relevant_line}</a></td>"
+                    else:
+                        markdown_text += f"<td>{relevant_line}</td>"
+                    markdown_text += "</tr>"
+            except Exception as e:
+                get_logger().exception(f"Failed to parse code suggestion: {e}")
+                pass
+        markdown_text += '</table>'
+        markdown_text += "<hr>"
+    else:
         for sub_key, sub_value in code_suggestions.items():
             if isinstance(sub_value, dict):  # "code example"
                 markdown_text += f"  - **{sub_key}:**\n"
@@ -336,7 +364,7 @@ def try_fix_yaml(response_text: str) -> dict:
         pass
 
 
-def set_custom_labels(variables):
+def set_custom_labels(variables, git_provider=None):
     if not get_settings().config.enable_custom_labels:
         return
 
@@ -348,11 +376,8 @@ def set_custom_labels(variables):
         labels_list = f"      - {labels_list}" if labels_list else ""
         variables["custom_labels"] = labels_list
         return
-    #final_labels = ""
+
-    #for k, v in labels.items():
+    # Set custom labels
-    #    final_labels += f"      - {k} ({v['description']})\n"
-    #variables["custom_labels"] = final_labels
-    #variables["custom_labels_examples"] = f"      - {list(labels.keys())[0]}"
     variables["custom_labels_class"] = "class Label(str, Enum):"
     for k, v in labels.items():
         description = v['description'].strip('\n').replace('\n', '\\n')

pr_agent/cli.py

@@ -5,7 +5,9 @@ import os
 from pr_agent.agent.pr_agent import PRAgent, commands
 from pr_agent.config_loader import get_settings
 from pr_agent.log import setup_logger
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAiHandler
 
+litellm_ai_handler = LiteLLMAiHandler()
 setup_logger()
 
 
@@ -57,9 +59,9 @@ For example: 'python cli.py --pr_url=... review --pr_reviewer.extra_instructions
     command = args.command.lower()
     get_settings().set("CONFIG.CLI_MODE", True)
     if args.issue_url:
-        result = asyncio.run(PRAgent().handle_request(args.issue_url, [command] + args.rest))
+        result = asyncio.run(PRAgent(ai_handler=litellm_ai_handler).handle_request(args.issue_url, [command] + args.rest))
     else:
-        result = asyncio.run(PRAgent().handle_request(args.pr_url, [command] + args.rest))
+        result = asyncio.run(PRAgent(ai_handler=litellm_ai_handler).handle_request(args.pr_url, [command] + args.rest))
     if not result:
         parser.print_help()
 

pr_agent/servers/bitbucket_app.py

@@ -18,7 +18,9 @@ from pr_agent.agent.pr_agent import PRAgent
 from pr_agent.config_loader import get_settings, global_settings
 from pr_agent.log import LoggingFormat, get_logger, setup_logger
 from pr_agent.secret_providers import get_secret_provider
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAiHandler
 
+litellm_ai_handler = LiteLLMAiHandler()
 setup_logger(fmt=LoggingFormat.JSON)
 router = APIRouter()
 secret_provider = get_secret_provider()
@@ -84,7 +86,7 @@ async def handle_github_webhooks(background_tasks: BackgroundTasks, request: Req
             context['bitbucket_bearer_token'] = bearer_token
             context["settings"] = copy.deepcopy(global_settings)
             event = data["event"]
-            agent = PRAgent()
+            agent = PRAgent(ai_handler=litellm_ai_handler)
             if event == "pullrequest:created":
                 pr_url = data["data"]["pullrequest"]["links"]["html"]["href"]
                 log_context["api_url"] = pr_url

pr_agent/servers/gerrit_server.py

@@ -12,7 +12,9 @@ from starlette_context.middleware import RawContextMiddleware
 from pr_agent.agent.pr_agent import PRAgent
 from pr_agent.config_loader import get_settings, global_settings
 from pr_agent.log import get_logger, setup_logger
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAiHandler
 
+litellm_ai_handler = LiteLLMAiHandler()
 setup_logger()
 router = APIRouter()
 
@@ -43,7 +45,7 @@ async def handle_gerrit_request(action: Action, item: Item):
                 status_code=400,
                 detail="msg is required for ask command"
             )
-    await PRAgent().handle_request(
+    await PRAgent(ai_handler=litellm_ai_handler).handle_request(
         f"{item.project}:{item.refspec}",
         f"/{item.msg.strip()}"
     )

pr_agent/servers/github_action_runner.py

@@ -11,7 +11,8 @@ from pr_agent.log import get_logger
 from pr_agent.tools.pr_code_suggestions import PRCodeSuggestions
 from pr_agent.tools.pr_description import PRDescription
 from pr_agent.tools.pr_reviewer import PRReviewer
-
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAiHandler
+litellm_ai_handler = LiteLLMAiHandler()
 
 def is_true(value: Union[str, bool]) -> bool:
     if isinstance(value, bool):
@@ -110,9 +111,9 @@ async def run_action():
                     comment_id = event_payload.get("comment", {}).get("id")
                     provider = get_git_provider()(pr_url=url)
                     if is_pr:
-                        await PRAgent().handle_request(url, body, notify=lambda: provider.add_eyes_reaction(comment_id))
+                        await PRAgent(ai_handler=litellm_ai_handler).handle_request(url, body, notify=lambda: provider.add_eyes_reaction(comment_id))
                     else:
-                        await PRAgent().handle_request(url, body)
+                        await PRAgent(ai_handler=litellm_ai_handler).handle_request(url, body)
 
 
 if __name__ == '__main__':

pr_agent/servers/github_app.py

@@ -17,7 +17,9 @@ from pr_agent.git_providers.utils import apply_repo_settings
 from pr_agent.git_providers.git_provider import IncrementalPR
 from pr_agent.log import LoggingFormat, get_logger, setup_logger
 from pr_agent.servers.utils import verify_signature, DefaultDictWithTimeout
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAiHandler
 
+litellm_ai_handler = LiteLLMAiHandler()
 setup_logger(fmt=LoggingFormat.JSON)
 
 router = APIRouter()
@@ -79,7 +81,7 @@ async def handle_request(body: Dict[str, Any], event: str):
     action = body.get("action")
     if not action:
         return {}
-    agent = PRAgent()
+    agent = PRAgent(ai_handler=litellm_ai_handler)
     bot_user = get_settings().github_app.bot_user
     sender = body.get("sender", {}).get("login")
     log_context = {"action": action, "event": event, "sender": sender, "server_type": "github_app"}

pr_agent/servers/github_polling.py

@@ -8,7 +8,9 @@ from pr_agent.config_loader import get_settings
 from pr_agent.git_providers import get_git_provider
 from pr_agent.log import LoggingFormat, get_logger, setup_logger
 from pr_agent.servers.help import bot_help_text
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAiHandler
 
+litellm_ai_handler = LiteLLMAiHandler()
 setup_logger(fmt=LoggingFormat.JSON)
 NOTIFICATION_URL = "https://api.github.com/notifications"
 
@@ -34,7 +36,7 @@ async def polling_loop():
     last_modified = [None]
     git_provider = get_git_provider()()
     user_id = git_provider.get_user_id()
-    agent = PRAgent()
+    agent = PRAgent(ai_handler=litellm_ai_handler)
     get_settings().set("CONFIG.PUBLISH_OUTPUT_PROGRESS", False)
 
     try:

pr_agent/servers/gitlab_webhook.py

@@ -14,7 +14,9 @@ from pr_agent.agent.pr_agent import PRAgent
 from pr_agent.config_loader import get_settings, global_settings
 from pr_agent.log import LoggingFormat, get_logger, setup_logger
 from pr_agent.secret_providers import get_secret_provider
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAiHandler
 
+litellm_ai_handler = LiteLLMAiHandler()
 setup_logger(fmt=LoggingFormat.JSON)
 router = APIRouter()
 
@@ -26,7 +28,7 @@ def handle_request(background_tasks: BackgroundTasks, url: str, body: str, log_c
     log_context["event"] = "pull_request" if body == "/review" else "comment"
     log_context["api_url"] = url
     with get_logger().contextualize(**log_context):
-        background_tasks.add_task(PRAgent().handle_request, url, body)
+        background_tasks.add_task(PRAgent(ai_handler=litellm_ai_handler).handle_request, url, body)
 
 
 @router.post("/webhook")

pr_agent/tools/pr_add_docs.py

@@ -4,7 +4,7 @@ from typing import Dict
 
 from jinja2 import Environment, StrictUndefined
 
-from pr_agent.algo.ai_handler import AiHandler
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 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 load_yaml
@@ -15,14 +15,14 @@ from pr_agent.log import get_logger
 
 
 class PRAddDocs:
-    def __init__(self, pr_url: str, cli_mode=False, args: list = None):
+    def __init__(self, pr_url: str, cli_mode=False, args: list = None, ai_handler: BaseAiHandler = None):
 
         self.git_provider = get_git_provider()(pr_url)
         self.main_language = get_main_pr_language(
             self.git_provider.get_languages(), self.git_provider.get_files()
         )
 
-        self.ai_handler = AiHandler()
+        self.ai_handler = ai_handler
         self.patches_diff = None
         self.prediction = None
         self.cli_mode = cli_mode

pr_agent/tools/pr_code_suggestions.py

@@ -3,7 +3,7 @@ import textwrap
 from typing import Dict, List
 from jinja2 import Environment, StrictUndefined
 
-from pr_agent.algo.ai_handler import BaseAiHandler, AiHandler
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 from pr_agent.algo.pr_processing import get_pr_diff, get_pr_multi_diffs, retry_with_fallback_models
 from pr_agent.algo.token_handler import TokenHandler
 from pr_agent.algo.utils import load_yaml
@@ -14,7 +14,7 @@ from pr_agent.log import get_logger
 
 
 class PRCodeSuggestions:
-    def __init__(self, pr_url: str, cli_mode=False, args: list = None, ai_handler: BaseAiHandler = AiHandler()):
+    def __init__(self, pr_url: str, cli_mode=False, args: list = None, ai_handler: BaseAiHandler = None ):
 
         self.git_provider = get_git_provider()(pr_url)
         self.main_language = get_main_pr_language(

pr_agent/tools/pr_description.py

@@ -4,7 +4,7 @@ from typing import List, Tuple
 
 from jinja2 import Environment, StrictUndefined
 
-from pr_agent.algo.ai_handler import BaseAiHandler, AiHandler
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 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 load_yaml, set_custom_labels, get_user_labels
@@ -15,7 +15,7 @@ from pr_agent.log import get_logger
 
 
 class PRDescription:
-    def __init__(self, pr_url: str, args: list = None, ai_handler: BaseAiHandler = AiHandler()):
+    def __init__(self, pr_url: str, args: list = None, ai_handler: BaseAiHandler = None):
         """
         Initialize the PRDescription object with the necessary attributes and objects for generating a PR description
         using an AI model.

pr_agent/tools/pr_information_from_user.py

@@ -2,7 +2,7 @@ import copy
 
 from jinja2 import Environment, StrictUndefined
 
-from pr_agent.algo.ai_handler import BaseAiHandler, AiHandler
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 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.config_loader import get_settings
@@ -12,7 +12,7 @@ from pr_agent.log import get_logger
 
 
 class PRInformationFromUser:
-    def __init__(self, pr_url: str, args: list = None, ai_handler: BaseAiHandler = AiHandler()):
+    def __init__(self, pr_url: str, args: list = None, ai_handler: BaseAiHandler = None):
         self.git_provider = get_git_provider()(pr_url)
         self.main_pr_language = get_main_pr_language(
             self.git_provider.get_languages(), self.git_provider.get_files()

pr_agent/tools/pr_questions.py

@@ -2,7 +2,7 @@ import copy
 
 from jinja2 import Environment, StrictUndefined
 
-from pr_agent.algo.ai_handler import BaseAiHandler, AiHandler
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 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.config_loader import get_settings
@@ -12,7 +12,7 @@ from pr_agent.log import get_logger
 
 
 class PRQuestions:
-    def __init__(self, pr_url: str, args=None, ai_handler: BaseAiHandler = AiHandler()):
+    def __init__(self, pr_url: str, args=None, ai_handler: BaseAiHandler = None):
         question_str = self.parse_args(args)
         self.git_provider = get_git_provider()(pr_url)
         self.main_pr_language = get_main_pr_language(

pr_agent/tools/pr_reviewer.py

@@ -7,7 +7,7 @@ import yaml
 from jinja2 import Environment, StrictUndefined
 from yaml import SafeLoader
 
-from pr_agent.algo.ai_handler import BaseAiHandler, AiHandler
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 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, get_user_labels
@@ -22,13 +22,15 @@ class PRReviewer:
     """
     The PRReviewer class is responsible for reviewing a pull request and generating feedback using an AI model.
     """
-    def __init__(self, pr_url: str, is_answer: bool = False, is_auto: bool = False, args: list = None, ai_handler: BaseAiHandler = AiHandler()):
+    def __init__(self, pr_url: str, is_answer: bool = False, is_auto: bool = False, args: list = None, ai_handler: BaseAiHandler = None):
         """
         Initialize the PRReviewer object with the necessary attributes and objects to review a pull request.
 
         Args:
             pr_url (str): The URL of the pull request to be reviewed.
             is_answer (bool, optional): Indicates whether the review is being done in answer mode. Defaults to False.
+            is_auto (bool, optional): Indicates whether the review is being done in automatic mode. Defaults to False.
+            ai_handler (BaseAiHandler): The AI handler to be used for the review. Defaults to None.
             args (list, optional): List of arguments passed to the PRReviewer class. Defaults to None.
         """
         self.parse_args(args) # -i command

pr_agent/tools/pr_update_changelog.py

@@ -5,7 +5,7 @@ from typing import Tuple
 
 from jinja2 import Environment, StrictUndefined
 
-from pr_agent.algo.ai_handler import BaseAiHandler, AiHandler
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
 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.config_loader import get_settings
@@ -17,7 +17,7 @@ CHANGELOG_LINES = 50
 
 
 class PRUpdateChangelog:
-    def __init__(self, pr_url: str, cli_mode=False, args=None, ai_handler: BaseAiHandler = AiHandler()):
+    def __init__(self, pr_url: str, cli_mode=False, args=None, ai_handler: BaseAiHandler = None):
 
         self.git_provider = get_git_provider()(pr_url)
         self.main_language = get_main_pr_language(

requirements.txt

@@ -23,3 +23,4 @@ starlette-context==0.3.6
 tiktoken==0.5.2
 ujson==5.8.0
 uvicorn==0.22.0
+langchain==0.0.349