​
GitHubFile

class GitHubFile(BaseModel):

Model to hold GitHub file information.

Attributes: content (str): The content of the GitHub text. file_path (str): The path of the file. html_url (str): The actual url of the file.

​
RepositoryInfo

class RepositoryInfo(BaseModel):

Model to hold GitHub repository information.

Attributes: repo_name (str): The full name of the repository. repo_url (str): The URL of the repository. contents (list): A list to hold the repository contents.

​
RepoAgent

class RepoAgent(ChatAgent):

A specialized agent designed to interact with GitHub repositories for code generation tasks. The RepoAgent enhances a base ChatAgent by integrating context from one or more GitHub repositories. It supports two processing modes:

  • FULL_CONTEXT: loads and injects full repository content into the prompt.
  • RAG (Retrieval-Augmented Generation): retrieves relevant code/documentation chunks using a vector store when context length exceeds a specified token limit.

Attributes: vector_retriever (VectorRetriever): Retriever used to perform semantic search in RAG mode. Required if repo content exceeds context limit. system_message (Optional[str]): The system message for the chat agent. (default: :str:"You are a code assistant with repo context.") repo_paths (Optional[List[str]]): List of GitHub repository URLs to load during initialization. (default: :obj:None) model (BaseModelBackend): The model backend to use for generating responses. (default: :obj:ModelPlatformType.DEFAULT with ModelType.DEFAULT) max_context_tokens (Optional[int]): Maximum number of tokens allowed before switching to RAG mode. (default: :obj:2000) github_auth_token (Optional[str]): GitHub personal access token for accessing private or rate-limited repositories. (default: :obj:None) chunk_size (Optional[int]): Maximum number of characters per code chunk when indexing files for RAG. (default: :obj:8192) top_k (int): Number of top-matching chunks to retrieve from the vector store in RAG mode. (default: :obj:5) similarity (Optional[float]): Minimum similarity score required to include a chunk in the RAG context. (default: :obj:0.6) collection_name (Optional[str]): Name of the vector database collection to use for storing and retrieving chunks. (default: :obj:None) **kwargs: Inherited from ChatAgent

Note: The current implementation of RAG mode requires using Qdrant as the vector storage backend. The VectorRetriever defaults to QdrantStorage if no storage is explicitly provided. Other vector storage backends are not currently supported for the RepoAgent’s RAG functionality.

​
init

def __init__(
    self,
    vector_retriever: VectorRetriever,
    system_message: Optional[str] = 'You are a code assistant with repo context.',
    repo_paths: Optional[List[str]] = None,
    model: Optional[BaseModelBackend] = None,
    max_context_tokens: int = 2000,
    github_auth_token: Optional[str] = None,
    chunk_size: Optional[int] = 8192,
    top_k: Optional[int] = 5,
    similarity: Optional[float] = 0.6,
    collection_name: Optional[str] = None,
    **kwargs
):

​
parse_url

def parse_url(self, url: str):

Parse the GitHub URL and return the (owner, repo_name) tuple.

Parameters:

  • url (str): The URL to be parsed.

Returns:

Tuple[str, str]: The (owner, repo_name) tuple.

​
load_repositories

def load_repositories(self, repo_urls: List[str]):

Load the content of a GitHub repository.

Parameters:

  • repo_urls (str): The list of Repo URLs.

Returns:

List[RepositoryInfo]: A list of objects containing information about the all repositories, including the contents.

​
load_repository

def load_repository(self, repo_url: str, github_client: 'Github'):

Load the content of a GitHub repository.

Parameters:

  • repo_urls (str): The Repo URL to be loaded.
  • github_client (GitHub): The established GitHub client.

Returns:

RepositoryInfo: The object containing information about the repository, including the contents.

​
count_tokens

def count_tokens(self):

Returns:

int: The number of tokens

​
construct_full_text

def construct_full_text(self):

Construct full context text from repositories by concatenation.

​
add_repositories

def add_repositories(self, repo_urls: List[str]):

Add a GitHub repository to the list of repositories.

Parameters:

  • repo_urls (str): The Repo URL to be added.

​
check_switch_mode

def check_switch_mode(self):

Returns:

bool: True if the mode was switched, False otherwise.

​
step

def step(
    self,
    input_message: Union[BaseMessage, str],
    *args,
    **kwargs
):

Overrides ChatAgent.step() to first retrieve relevant context from the vector store before passing the input to the language model.

​
reset

def reset(self):

​
search_by_file_path

def search_by_file_path(self, file_path: str):

Search for all payloads in the vector database where file_path matches the given value (the same file), then sort by piece_num and concatenate text fields to return a complete result.

Parameters:

  • file_path (str): The file_path value to filter the payloads.

Returns:

str: A concatenated string of the text fields sorted by piece_num.