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-rw-r--r--server/continuedev/libs/llm/together.py125
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diff --git a/server/continuedev/libs/llm/together.py b/server/continuedev/libs/llm/together.py
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+++ b/server/continuedev/libs/llm/together.py
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+import json
+from typing import Callable
+
+import aiohttp
+from pydantic import Field
+
+from ...core.main import ContinueCustomException
+from ..util.logging import logger
+from .base import LLM
+from .prompts.chat import llama2_template_messages
+from .prompts.edit import simplified_edit_prompt
+
+
+class TogetherLLM(LLM):
+ """
+ The Together API is a cloud platform for running large AI models. You can sign up [here](https://api.together.xyz/signup), copy your API key on the initial welcome screen, and then hit the play button on any model from the [Together Models list](https://docs.together.ai/docs/models-inference). Change `~/.continue/config.py` to look like this:
+
+ ```python title="~/.continue/config.py"
+ from continuedev.core.models import Models
+ from continuedev.libs.llm.together import TogetherLLM
+
+ config = ContinueConfig(
+ ...
+ models=Models(
+ default=TogetherLLM(
+ api_key="<API_KEY>",
+ model="togethercomputer/llama-2-13b-chat"
+ )
+ )
+ )
+ ```
+ """
+
+ api_key: str = Field(..., description="Together API key")
+
+ model: str = "togethercomputer/RedPajama-INCITE-7B-Instruct"
+ base_url: str = Field(
+ "https://api.together.xyz",
+ description="The base URL for your Together API instance",
+ )
+
+ _client_session: aiohttp.ClientSession = None
+
+ template_messages: Callable = llama2_template_messages
+
+ prompt_templates = {
+ "edit": simplified_edit_prompt,
+ }
+
+ async def start(self, **kwargs):
+ await super().start(**kwargs)
+ self._client_session = aiohttp.ClientSession(
+ connector=aiohttp.TCPConnector(verify_ssl=self.verify_ssl),
+ timeout=aiohttp.ClientTimeout(total=self.timeout),
+ )
+
+ async def stop(self):
+ await self._client_session.close()
+
+ async def _stream_complete(self, prompt, options):
+ args = self.collect_args(options)
+
+ async with self._client_session.post(
+ f"{self.base_url}/inference",
+ json={
+ "prompt": prompt,
+ "stream_tokens": True,
+ **args,
+ },
+ headers={"Authorization": f"Bearer {self.api_key}"},
+ proxy=self.proxy,
+ ) as resp:
+ async for line in resp.content.iter_chunks():
+ if line[1]:
+ json_chunk = line[0].decode("utf-8")
+ if json_chunk.startswith(": ping - ") or json_chunk.startswith(
+ "data: [DONE]"
+ ):
+ continue
+
+ chunks = json_chunk.split("\n")
+ for chunk in chunks:
+ if chunk.strip() != "":
+ if chunk.startswith("data: "):
+ chunk = chunk[6:]
+ if chunk == "[DONE]":
+ break
+ try:
+ json_chunk = json.loads(chunk)
+ except Exception as e:
+ logger.warning(f"Invalid JSON chunk: {chunk}\n\n{e}")
+ continue
+ if "choices" in json_chunk:
+ yield json_chunk["choices"][0]["text"]
+
+ async def _complete(self, prompt: str, options):
+ args = self.collect_args(options)
+
+ async with self._client_session.post(
+ f"{self.base_url}/inference",
+ json={"prompt": prompt, **args},
+ headers={"Authorization": f"Bearer {self.api_key}"},
+ proxy=self.proxy,
+ ) as resp:
+ text = await resp.text()
+ j = json.loads(text)
+ try:
+ if "choices" not in j["output"]:
+ raise Exception(text)
+ if "output" in j:
+ return j["output"]["choices"][0]["text"]
+ except Exception as e:
+ j = await resp.json()
+ if "error" in j:
+ if j["error"].startswith("invalid hexlify value"):
+ raise ContinueCustomException(
+ message=f"Invalid Together API key:\n\n{j['error']}",
+ title="Together API Error",
+ )
+ else:
+ raise ContinueCustomException(
+ message=j["error"], title="Together API Error"
+ )
+
+ raise e