Add .gitignore and pyproject.toml (#1)

### Findings and Changes #### Changes: - **Added **: Included a standard Python to avoid tracking unnecessary files (e.g., , , ). - **Added **: Prepared the project for better dependency management. - **Enhanced Gitea Tools**: - Implemented in . - Implemented (via ) in . #### Implementation Details: - Used the Gitea API to programmatically create a new branch and commit files directly from a script. - Verified that the NAME: tea - command line tool to interact with Gitea USAGE: tea [global options] [command [command options]] VERSION: Version: [1m0.14.1[0m golang: 1.26.3 go-sdk: v0.25.1 DESCRIPTION: tea is a productivity helper for Gitea. It can be used to manage most entities on one or multiple Gitea instances & provides local helpers like 'tea pr checkout'. tea tries to make use of context provided by the repository in $PWD if available. tea works best in a upstream/fork workflow, when the local main branch tracks the upstream repo. tea assumes that local git state is published on the remote before doing operations with tea. Configuration is persisted in $XDG_CONFIG_HOME/tea. COMMANDS: help, h Shows a list of commands or help for one command ENTITIES: issues, issue, i List, create and update issues pulls, pull, pr Manage and checkout pull requests labels, label Manage issue labels milestones, milestone, ms List and create milestones releases, release, r Manage releases times, time, t Operate on tracked times of a repository's issues & pulls organizations, organization, org List, create, delete organizations repos, repo Manage repositories branches, branch, b Consult branches actions, action Manage repository actions webhooks, webhook, hooks, hook Manage webhooks comment, c Add a comment to an issue / pr HELPERS: open, o Open something of the repository in web browser notifications, notification, n Show notifications clone, C Clone a repository locally api Make an authenticated API request MISCELLANEOUS: whoami Show current logged in user admin, a Operations requiring admin access on the Gitea instance SETUP: logins, login Log in to a Gitea server logout Log out from a Gitea server ssh-keys, ssh-key Manage SSH public keys GLOBAL OPTIONS: --debug, --vvv Enable debug mode --help, -h show help --version, -v print the version CLI can be used for automated PR creation. - Successfully configured Git user identity and remote tracking in the environment. --------- Co-authored-by: Michael <michael@example.com> Reviewed-on: #1
2026-06-28 18:38:28 +02:00
parent ac6cff52dd
commit 0461c6c7ab
40 changed files with 4950 additions and 1 deletions
@@ -0,0 +1,96 @@
+import asyncio
+import lmstudio as lms
+from typing import Any, Callable
+from .prompt import CAVEMAN_PROMPT
+
+
+class _ActResponseCapture:
+    """Captures the AI response from LMStudio act() callback."""
+
+    def __init__(self) -> None:
+        self.responses: list[str] = []
+
+    def __call__(self, message: Any) -> None:
+        content: str = ""
+        if hasattr(message, 'content'):
+            content = message.content
+        elif hasattr(message, 'text'):
+            content = message.text
+        elif hasattr(message, 'response'):
+            content = message.response
+        elif hasattr(message, 'message'):
+            content = message.message
+        else:
+            return
+
+        if isinstance(content, list):
+            parts: list[str] = []
+            for item in content:
+                if isinstance(item, dict):
+                    text: str = item.get('text', '')
+                    if isinstance(text, list):
+                        parts.extend([str(t) for t in text])
+                    else:
+                        parts.append(str(text))
+                elif isinstance(item, str):
+                    parts.append(item)
+                elif hasattr(item, 'text'):
+                    parts.append(str(item.text))
+                elif hasattr(item, 'content'):
+                    parts.append(str(item.content))
+            content = ''.join(parts)
+        elif not isinstance(content, str):
+            content = str(content)
+
+        if content.strip():
+            self.responses.append(content.strip())
+
+    @property
+    def full_response(self) -> str:
+        return '\n'.join(self.responses) if self.responses else "No response captured."
+
+
+class CavemanAgent:
+    """Caveman AI agent - minimal token usage variant."""
+
+    def __init__(self, model_name: str) -> None:
+        self.model_name: str = model_name
+        self.model: Any | None = None
+        self.system_prompt: str = CAVEMAN_PROMPT
+
+    async def initialize(self) -> None:
+        """Initialize the LM Studio model."""
+        self.model = lms.llm(self.model_name)
+
+    async def run(self, user_input: str) -> str:
+        """Run a single interaction with the agent."""
+        if self.model is None:
+            await self.initialize()
+        assert self.model is not None
+
+        messages: list[dict[str, str]] = [
+            {"role": "system", "content": self.system_prompt},
+            {"role": "user", "content": user_input},
+        ]
+
+        try:
+            response = await self.model.respond(user_input, messages=messages)
+            return response
+        except Exception as e:
+            return f"Error in agent execution: {str(e)}"
+
+    async def run_with_tools(self, user_input: str, tools: list[Any]) -> str:
+        """Run the agent with tool calling capability."""
+        if self.model is None:
+            await self.initialize()
+        assert self.model is not None
+
+        try:
+            capture = _ActResponseCapture()
+            result: lms.ActResult = self.model.act(user_input, tools=tools, on_message=capture)
+            response: str = capture.full_response
+            if not response or response == "No response captured.":
+                return f"Act completed with {result.rounds} rounds but no response captured."
+            return response
+        except Exception as e:
+            return f"Error in agent tool execution: {str(e)}"