Python Splitter

from upsonic import Agent, Task, KnowledgeBase
from upsonic.loaders.text import TextLoader
from upsonic.loaders.config import TextLoaderConfig
from upsonic.embeddings import OpenAIEmbedding, OpenAIEmbeddingConfig
from upsonic.text_splitter.python import PythonChunker, PythonChunkingConfig
from upsonic.vectordb import ChromaProvider, ChromaConfig, ConnectionConfig, Mode

# Configure splitter
splitter_config = PythonChunkingConfig(
    chunk_size=512,
    chunk_overlap=50,
    split_on_nodes=["ClassDef", "FunctionDef"],
    include_docstrings=True
)
splitter = PythonChunker(splitter_config)

# Setup KnowledgeBase
loader = TextLoader(TextLoaderConfig())
embedding = OpenAIEmbedding(OpenAIEmbeddingConfig())
vectordb = ChromaProvider(ChromaConfig(
    collection_name="python_code",
    vector_size=1536,
    connection=ConnectionConfig(mode=Mode.IN_MEMORY)
))

kb = KnowledgeBase(
    sources=["code.py"],
    embedding_provider=embedding,
    vectordb=vectordb,
    loaders=[loader],
    splitters=[splitter]
)

# Query with Agent
agent = Agent("anthropic/claude-sonnet-4-5")
task = Task("Find all class definitions", context=[kb])
result = agent.do(task)
print(result)