xx

libs/langchain_v1/langchain/agents/data_analysis.py

@@ -0,0 +1,53 @@
+from typing import Optional, Sequence, Literal, List
+
+from langgraph.prebuilt import create_react_agent
+from langgraph.pregel import Pregel
+
+from langchain.sandboxes import create_tools, DaytonaSandboxToolkit, FileUpload
+from langchain_core.language_models.base import BaseLanguageModel
+from langchain_core.tools import BaseTool
+
+
+def create_data_analysis_agent(
+    model: BaseLanguageModel,
+    sandbox: DaytonaSandboxToolkit,
+    tools: Sequence[
+        Literal["run_code", "list_files", "upload_file", "download_file", "exec"]
+    ],
+    *,
+    prompt: Optional[str] = None,
+    files: Optional[list[FileUpload]] = None,
+    name: str = "Data Analysis Agent",
+) -> Pregel:
+    """Create a data analysis Pregel agent using Daytona sandbox."""
+    if files:
+        sandbox.upload_files(files)
+
+    tools_: List[BaseTool] = create_tools(sandbox, tools)
+
+    if prompt is None:
+        files_section = ""
+        if files:
+            files_list = "\n".join([f"- {file['destination']}" for file in files])
+            files_section = f"\n\nThe user has uploaded the following files to ./data/:\n{files_list}"
+
+        prompt = f"""
+You are a data analysis agent designed to write and execute Python code to answer questions.
+
+You have access to:
+- A Python environment where you can run complete scripts
+- Root access to install any packages you need using pip
+- A filesystem with data files located in {files_section}
+
+Guidelines:
+- Write complete, self-contained Python scripts for each execution
+- Use proper imports and handle errors gracefully
+- Install required packages if needed (e.g., pandas, numpy, matplotlib)
+- Always run code to verify your analysis, even if you think you know the answer
+- If you encounter errors, debug and fix your code before trying again
+- Only use the output of your executed code to answer questions
+- If the question cannot be answered with code or with the data, respond with "I don't know"
+
+Answer the user's question using the tools available to you.
+"""
+    return create_react_agent(model=model, tools=tools_, prompt=prompt, name=name)

libs/langchain_v1/langchain/sandboxes/__init__.py

@@ -0,0 +1,408 @@
+"""Temporary wrapper for sandbox integrations."""
+
+from __future__ import annotations
+
+import os
+from typing import (
+    TYPE_CHECKING,
+    Callable,
+    Literal,
+    NotRequired,
+    Optional,
+    TypedDict,
+)
+
+from daytona import Daytona
+from daytona import DaytonaConfig
+from daytona.common.filesystem import FileUpload as DaytonaFileUpload
+from pydantic import BaseModel, Field
+
+from langchain_core.tools import BaseTool, StructuredTool
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from daytona import Sandbox
+
+
+class FileInfo(TypedDict):
+    """Metadata of a file in the sandbox."""
+
+    name: str
+    is_dir: bool
+    size: NotRequired[float]
+    mod_time: NotRequired[str]
+    mode: NotRequired[str]
+    permissions: NotRequired[str]
+    owner: NotRequired[str]
+    group: NotRequired[str]
+
+
+class SandboxCapabilities(TypedDict):
+    """Capabilities of the sandbox."""
+
+    can_upload: bool
+    can_download: bool
+    can_list_files: bool
+    can_run_code: bool
+    supported_languages: list[str]
+    support_repl: bool
+    can_exec: bool
+    can_exec_session: bool
+
+
+class FileUpload(TypedDict):
+    """File upload."""
+
+    source: str | bytes
+    """Source file path or contents to upload."""
+    destination: str
+    """Destination path in the sandbox."""
+
+
+class ExecuteResponse(TypedDict):
+    """Result of code execution."""
+
+    result: str
+    """The output of the executed code.
+
+    This will usually be the standard output of the command executed.
+    """
+    exit_code: NotRequired[int]
+    """The exit code of the executed code, if applicable."""
+
+
+class DaytonaSandboxManager:
+    def __init__(
+        self, *, daytona_client: Optional[Daytona] = None, api_key: Optional[str] = None
+    ) -> None:
+        """Initialize the SandboxManager with a Daytona client."""
+        if daytona_client and api_key:
+            raise ValueError("Provide either daytona_client or api_key, not both.")
+
+        if daytona_client is None:
+            api_key = api_key or os.environ.get("DAYTONA_API_KEY")
+            if api_key is None:
+                raise ValueError("Either daytona_client or api_key must be provided.")
+            config = DaytonaConfig(api_key=api_key)
+            daytona_client = Daytona(config)
+
+        self.daytona_client = daytona_client
+
+    def list(self) -> list[id]:
+        """List available sandboxes."""
+        return self.daytona_client.list()
+
+    def delete(self, id: str) -> None:
+        """Delete a sandbox by its ID."""
+        # This could be optimized by using the API directly or by accessing
+        # private attributes, for now we'll keep it simple and restrict to the
+        # public API.
+        sandbox = self.daytona_client.get(id)
+        self.daytona_client.delete(sandbox)
+
+    def get(self, id: str) -> DaytonaSandboxToolkit:
+        """Get a toolkit for a given ID."""
+        sandbox = self.daytona_client.get(id)
+        return DaytonaSandboxToolkit(sandbox)
+
+    def create(self, **kwargs) -> DaytonaSandboxToolkit:
+        """Create and return a new sandbox ID."""
+        sandbox = self.daytona_client.create(**kwargs)
+        # For now, we'll only support a single session ID for execution. It's simple!
+        session_id = "main-exec-session"
+        sandbox.process.create_session(session_id)
+        return DaytonaSandboxToolkit(
+            sandbox,
+        )
+
+
+class DaytonaSandboxToolkit:
+    """A toolkit for interacting with sandboxes."""
+
+    def __init__(
+        self,
+        sandbox: Sandbox,
+        *,
+        default_language: str | None = None,
+    ) -> None:
+        """Initialize the SandboxToolkit with a DaytonSandbox instance."""
+        self.sandbox = sandbox
+        self._default_language = default_language
+        self.exec_session_id = "main-exec-session"
+
+    @property
+    def id(self) -> str:
+        """Get the ID of the sandbox."""
+        return self.sandbox.id
+
+    def list_files(self, path: str) -> list[FileInfo]:
+        """List files in the specified path."""
+        return self.sandbox.fs.list_files(path)
+
+    def move_files(self, source: str, destination: str) -> None:
+        """Move a file from source to destination."""
+        return self.sandbox.fs.move_files(source, destination)
+
+    def upload_file(
+        self, file: bytes, remote_path: str, *, timeout: int = 30 * 60
+    ) -> None:
+        """Upload a file to the sandbox."""
+        return self.sandbox.fs.upload_file(file, remote_path, timeout=timeout)
+
+    def upload_files(self, files: list[FileUpload], *, timeout: int = 30 * 60):
+        """Upload one or more files to the sandbox."""
+        file_uploads = [
+            DaytonaFileUpload(source=file["source"], destination=file["destination"])
+            for file in files
+        ]
+        return self.sandbox.fs.upload_files(file_uploads, timeout)
+
+    def download_file(self, remote_path: str, *, timeout: int = 30 * 60) -> bytes:
+        """Download a file from the sandbox."""
+        return self.sandbox.fs.download_file(remote_path, timeout)
+
+    def run_code(self, code: str, *, timeout: int = 30 * 60) -> ExecuteResponse:
+        """Run code in the sandbox."""
+        execute_response = self.sandbox.process.code_run(code, timeout=timeout)
+        return ExecuteResponse(
+            result=execute_response.result,
+            exit_code=execute_response.exit_code,
+        )
+
+    def repl(self, code: str, *, timeout: int = 30 * 60) -> ExecuteResponse:
+        """Support for REPL execution in the sandbox."""
+        raise NotImplementedError
+
+    def exec(
+        self, command: str, cwd: Optional[str] = None, *, timeout: int = 30 * 60
+    ) -> ExecuteResponse:
+        """Execute a command in the sandbox."""
+        execute_response = self.sandbox.process.exec(command, cwd=cwd, timeout=timeout)
+        return ExecuteResponse(
+            result=execute_response.result,
+            exit_code=execute_response.exit_code,
+        )
+
+    def exec_session(self, command: str) -> ExecuteResponse:
+        """Execute a shell in the `main` session."""
+        execute_response = self.sandbox.process.execute_session_command(
+            self.exec_session_id, {"command": command}
+        )
+        return execute_response
+
+    @property
+    def default_language(self) -> str | None:
+        """Get the default language for code execution."""
+        return self._default_language
+
+    def get_capabilities(self) -> SandboxCapabilities:
+        """Get the capabilities of the sandbox."""
+        return {
+            "can_upload": True,
+            "can_download": True,
+            "can_list_files": True,
+            "can_run_code": True,
+            "support_repl": False,
+            "can_exec": True,
+            "supported_languages": ["python"],
+        }
+
+
+class Adapter:
+    """An adapter to integrate responses from a sandbox toolkit to an LLM."""
+
+    def format_response(self, response: ExecuteResponse) -> str:
+        """Format the response for code execution."""
+        result = f"<execute_result>\n<output>{response['result']}</output>"
+
+        if "exit_code" in response and response["exit_code"] is not None:
+            result += f"\n<exit_code>{response['exit_code']}</exit_code>"
+
+        result += "\n</execute_result>"
+        return result
+
+    def format_list_files(self, files: list[FileInfo]) -> str:
+        """Format the response for a list of files."""
+        if not files:
+            return "<file_list>\n<message>No files found</message>\n</file_list>"
+
+        result = "<file_list>\n"
+        for file_info in files:
+            file_type = "directory" if file_info["is_dir"] else "file"
+            result += f'<item type="{file_type}">\n<name>{file_info["name"]}</name>\n'
+
+            if "size" in file_info:
+                result += f"<size>{file_info['size']}</size>\n"
+            if "mod_time" in file_info:
+                result += f"<modified>{file_info['mod_time']}</modified>\n"
+            if "permissions" in file_info:
+                result += f"<permissions>{file_info['permissions']}</permissions>\n"
+            if "owner" in file_info:
+                result += f"<owner>{file_info['owner']}</owner>\n"
+            if "group" in file_info:
+                result += f"<group>{file_info['group']}</group>\n"
+
+            result += "</item>\n"
+        result += "</file_list>"
+        return result
+
+    def format_upload_file(self) -> str:
+        """Format the response for an uploaded file."""
+        return (
+            "<upload_result>\n"
+            "<status>success</status>\n"
+            "<message>File uploaded successfully</message>\n"
+            "</upload_result>"
+        )
+
+    def format_download_file(self, size: int) -> str:
+        """Format the response for a downloaded file."""
+        return (
+            "<download_result>\n"
+            "<status>success</status>\n"
+            "<message>File downloaded successfully</message>\n"
+            f"<size_bytes>{size}</size_bytes>\n"
+            "<note>Binary content omitted from display</note>\n"
+            "</download_result>"
+        )
+
+
+def _wrap_tool(func, formatter, *, no_return: bool = False) -> Callable:
+    def wrapped(*args, **kwargs):
+        raw = func(*args, **kwargs)
+        if no_return:
+            return formatter(None)
+        return formatter(raw)
+
+    return wrapped
+
+
+class CodeExecutionInput(BaseModel):
+    """Input schema for code execution tools."""
+
+    code: str = Field(
+        description="The code to execute in the sandbox.",
+    )
+
+
+class ExecutionInput(BaseModel):
+    """Input schema for command execution tools."""
+
+    command: str = Field(
+        description="The command to execute in the sandbox.",
+    )
+    cwd: Optional[str] = Field(
+        default=None,
+        description="The working directory to execute the command in.",
+    )
+
+
+def create_tools(
+    toolkit: DaytonaSandboxToolkit,
+    tool_selection: Sequence[
+        Literal[
+            "run_code", "list_files", "upload_file", "download_file", "exec", "repl"
+        ]
+    ],
+) -> list[BaseTool]:
+    """Create tools for the given sandbox.
+
+    Args:
+        toolkit: The SandboxToolkit to use for creating tools.
+        tool_selection: A sequence of tool names to create.
+    """
+    capabilities = toolkit.get_capabilities()
+    formatter = Adapter()
+
+    # Let's create each tool now
+    tools: list[BaseTool] = []
+    for tool_name in tool_selection:
+        if tool_name == "run_code":
+            if not capabilities["can_run_code"]:
+                msg = "Sandbox does not support running code."
+                raise ValueError(msg)
+            tools.append(
+                StructuredTool(
+                    description="Run code in the sandbox.",
+                    name="run_code",
+                    func=_wrap_tool(toolkit.run_code, formatter.format_response),
+                    args_schema=CodeExecutionInput,
+                )
+            )
+        elif tool_name == "list_files":
+            if not capabilities["can_list_files"]:
+                msg = "Sandbox does not support listing files."
+                raise ValueError(msg)
+            tools.append(
+                StructuredTool(
+                    description="List files in the sandbox.",
+                    name="list_files",
+                    func=_wrap_tool(toolkit.list_files, formatter.format_list_files),
+                )
+            )
+        elif tool_name == "upload_file":
+            if not capabilities["can_upload"]:
+                msg = "Sandbox does not support uploading files."
+                raise ValueError(msg)
+            tools.append(
+                StructuredTool(
+                    description="Upload a file to the sandbox.",
+                    name="upload_file",
+                    func=_wrap_tool(
+                        toolkit.upload_file,
+                        formatter.format_upload_file,
+                        no_return=True,
+                    ),
+                )
+            )
+        elif tool_name == "download_file":
+            if not capabilities["can_download"]:
+                msg = "Sandbox does not support downloading files."
+                raise ValueError(msg)
+            tools.append(
+                StructuredTool(
+                    description="Download a file from the sandbox.",
+                    name="download_file",
+                    func=_wrap_tool(
+                        toolkit.download_file, formatter.format_download_file
+                    ),
+                )
+            )
+        elif tool_name == "repl":
+            if not capabilities["can_run_code"]:
+                msg = "Sandbox does not support REPL execution."
+                raise ValueError(msg)
+            tools.append(
+                StructuredTool(
+                    description="Run code in a REPL environment in the sandbox.",
+                    name="repl",
+                    func=_wrap_tool(toolkit.repl, formatter.format_response),
+                )
+            )
+        elif tool_name == "exec":
+            if not capabilities["can_run_code"]:
+                msg = "Sandbox does not support executing commands."
+                raise ValueError(msg)
+            tools.append(
+                StructuredTool(
+                    description="Execute a command in the sandbox.",
+                    name="exec",
+                    args_schema=ExecutionInput,
+                    func=_wrap_tool(toolkit.exec, formatter.format_response),
+                )
+            )
+        else:
+            known_tools = {
+                "run_code",
+                "list_files",
+                "upload_file",
+                "download_file",
+            }
+            msg = (
+                f"Unsupported tool: {tool_name}. "
+                f"Supported tools are: {', '.join(known_tools)}."
+            )
+            raise ValueError(msg)
+
+    return tools

libs/langchain_v1/pyproject.toml

@@ -7,6 +7,7 @@ authors = []
 license = { text = "MIT" }
 requires-python = ">=3.9, <4.0"
 dependencies = [
+    "daytona>=0.25.5",
     "langchain-core<1.0.0,>=0.3.66",
     "langchain-text-splitters<1.0.0,>=0.3.8",
     "langgraph>=0.6.0",

libs/langchain_v1/uv.lock

@@ -14,6 +14,15 @@ resolution-markers = [
     "python_full_version < '3.10' and platform_python_implementation != 'PyPy'",
 ]
 
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+source = { registry = "https://pypi.org/simple" }
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+wheels = [
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+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -126,6 +135,18 @@ wheels = [
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 ]
 
+[[package]]
+name = "aiohttp-retry"
+version = "2.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohttp" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9d/61/ebda4d8e3d8cfa1fd3db0fb428db2dd7461d5742cea35178277ad180b033/aiohttp_retry-2.9.1.tar.gz", hash = "sha256:8eb75e904ed4ee5c2ec242fefe85bf04240f685391c4879d8f541d6028ff01f1", size = 13608, upload-time = "2024-11-06T10:44:54.574Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1a/99/84ba7273339d0f3dfa57901b846489d2e5c2cd731470167757f1935fffbd/aiohttp_retry-2.9.1-py3-none-any.whl", hash = "sha256:66d2759d1921838256a05a3f80ad7e724936f083e35be5abb5e16eed6be6dc54", size = 9981, upload-time = "2024-11-06T10:44:52.917Z" },
+]
+
 [[package]]
 name = "aiosignal"
 version = "1.4.0"
@@ -274,6 +295,50 @@ wheels = [
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 ]
 
+[[package]]
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+version = "2.0.3"
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+wheels = [
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