1 files changed, 65 insertions, 0 deletions
diff --git a/server/continuedev/libs/llm/hf_tgi.py b/server/continuedev/libs/llm/hf_tgi.py
new file mode 100644
index 00000000..62458db4
--- /dev/null
+++ b/server/continuedev/libs/llm/hf_tgi.py
@@ -0,0 +1,65 @@
+import json
+from typing import Any, Callable, List
+
+from pydantic import Field
+
+from ...core.main import ChatMessage
+from .base import LLM, CompletionOptions
+from .prompts.chat import llama2_template_messages
+from .prompts.edit import simplified_edit_prompt
+
+
+class HuggingFaceTGI(LLM):
+    model: str = "huggingface-tgi"
+    server_url: str = Field(
+        "http://localhost:8080", description="URL of your TGI server"
+    )
+
+    template_messages: Callable[[List[ChatMessage]], str] = llama2_template_messages
+
+    prompt_templates = {
+        "edit": simplified_edit_prompt,
+    }
+
+    class Config:
+        arbitrary_types_allowed = True
+
+    def collect_args(self, options: CompletionOptions) -> Any:
+        args = super().collect_args(options)
+        args = {**args, "max_new_tokens": args.get("max_tokens", 1024), "best_of": 1}
+        args.pop("max_tokens", None)
+        args.pop("model", None)
+        args.pop("functions", None)
+        return args
+
+    async def _stream_complete(self, prompt, options):
+        args = self.collect_args(options)
+
+        async with self.create_client_session() as client_session:
+            async with client_session.post(
+                f"{self.server_url}/generate_stream",
+                json={"inputs": prompt, "parameters": args},
+                headers={"Content-Type": "application/json"},
+                proxy=self.proxy,
+            ) as resp:
+                async for line in resp.content.iter_any():
+                    if line:
+                        text = line.decode("utf-8")
+                        chunks = text.split("\n")
+
+                        for chunk in chunks:
+                            if chunk.startswith("data: "):
+                                chunk = chunk[len("data: ") :]
+                            elif chunk.startswith("data:"):
+                                chunk = chunk[len("data:") :]
+
+                            if chunk.strip() == "":
+                                continue
+
+                            try:
+                                json_chunk = json.loads(chunk)
+                            except Exception as e:
+                                print(f"Error parsing JSON: {e}")
+                                continue
+
+                            yield json_chunk["token"]["text"]