From 3aa0da245bdacf3dd7e92eac0c20e0e120eef6eb Mon Sep 17 00:00:00 2001
From: 7000pctAUTO <lukems3823@gmail.com>
Date: Thu, 5 Feb 2026 20:56:09 +0000
Subject: [PATCH] Initial upload: Local LLM Prompt Manager CLI tool

---
 src/llm/lmstudio.py | 79 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 79 insertions(+)
 create mode 100644 src/llm/lmstudio.py

diff --git a/src/llm/lmstudio.py b/src/llm/lmstudio.py
new file mode 100644
index 0000000..19122a5
--- /dev/null
+++ b/src/llm/lmstudio.py
@@ -0,0 +1,79 @@
+"""LM Studio LLM client implementation."""
+
+from collections.abc import Iterator
+
+import requests
+
+from ..config import get_config
+from .base import LLMClient
+
+
+class LMStudioClient(LLMClient):
+    """Client for LM Studio API."""
+
+    def __init__(self, url: str = None):
+        config = get_config()
+        self.url = url or config.lmstudio_url
+
+    def generate(self, prompt: str, model: str = None, **kwargs) -> str:
+        """Generate a response using LM Studio API."""
+        payload = {
+            "messages": [{"role": "user", "content": prompt}],
+            "max_tokens": 1024,
+            "temperature": 0.7,
+        }
+        payload.update(kwargs)
+        response = requests.post(
+            f"{self.url}/v1/completions",
+            json=payload,
+            timeout=120
+        )
+        response.raise_for_status()
+        data = response.json()
+        return data.get("choices", [{}])[0].get("text", "")
+
+    def stream_generate(self, prompt: str, model: str = None, **kwargs) -> Iterator[str]:
+        """Stream a response using LM Studio API."""
+        payload = {
+            "messages": [{"role": "user", "content": prompt}],
+            "max_tokens": 1024,
+            "temperature": 0.7,
+            "stream": True,
+        }
+        payload.update(kwargs)
+        response = requests.post(
+            f"{self.url}/v1/completions",
+            json=payload,
+            stream=True,
+            timeout=120
+        )
+        response.raise_for_status()
+        for line in response.iter_lines():
+            if line:
+                data = line.decode("utf-8")
+                if data.startswith("data: "):
+                    data = data[6:]
+                    if data != "[DONE]":
+                        import json
+                        parsed = json.loads(data)
+                        chunk = parsed.get("choices", [{}])[0].get("text", "")
+                        yield chunk
+
+    def test_connection(self) -> bool:
+        """Test if LM Studio is available."""
+        try:
+            response = requests.get(f"{self.url}/v1/models", timeout=5)
+            return response.status_code == 200
+        except requests.exceptions.RequestException:
+            return False
+
+    def get_available_models(self) -> list[str]:
+        """Get list of available models from LM Studio."""
+        try:
+            response = requests.get(f"{self.url}/v1/models", timeout=5)
+            if response.status_code == 200:
+                data = response.json()
+                return [m.get("id", "") for m in data.get("data", [])]
+        except requests.exceptions.RequestException:
+            pass
+        return []