feat: groq llms added

application/api/answer/routes.py

@@ -40,6 +40,8 @@ if settings.LLM_NAME == "openai":
     gpt_model = "gpt-3.5-turbo"
 elif settings.LLM_NAME == "anthropic":
     gpt_model = "claude-2"
+elif settings.LLM_NAME == "groq":
+    gpt_model = "llama3-8b-8192"
 
 if settings.MODEL_NAME:  # in case there is particular model name configured
     gpt_model = settings.MODEL_NAME

application/llm/groq.py

@@ -0,0 +1,46 @@
+from application.llm.base import BaseLLM
+from application.core.settings import settings
+
+
+
+class GroqLLM(BaseLLM):
+
+    def __init__(self, api_key=None, user_api_key=None, *args, **kwargs):
+        from openai import OpenAI
+
+        super().__init__(*args, **kwargs)
+        self.client = OpenAI(api_key=api_key, base_url="https://api.groq.com/openai/v1")
+        self.api_key = api_key
+        self.user_api_key = user_api_key
+
+    def _raw_gen(
+        self,
+        baseself,
+        model,
+        messages,
+        stream=False,
+        **kwargs
+    ):  
+        response = self.client.chat.completions.create(
+            model=model, messages=messages, stream=stream, **kwargs
+        )
+
+        return response.choices[0].message.content
+
+    def _raw_gen_stream(
+        self,
+        baseself,
+        model,
+        messages,
+        stream=True,
+        **kwargs
+    ):  
+        response = self.client.chat.completions.create(
+            model=model, messages=messages, stream=stream, **kwargs
+        )
+
+        for line in response:
+            # import sys
+            # print(line.choices[0].delta.content, file=sys.stderr)
+            if line.choices[0].delta.content is not None:
+                yield line.choices[0].delta.content

application/llm/llm_creator.py

@@ -1,3 +1,4 @@
+from application.llm.groq import GroqLLM
 from application.llm.openai import OpenAILLM, AzureOpenAILLM
 from application.llm.sagemaker import SagemakerAPILLM
 from application.llm.huggingface import HuggingFaceLLM
@@ -17,6 +18,7 @@ class LLMCreator:
         "anthropic": AnthropicLLM,
         "docsgpt": DocsGPTAPILLM,
         "premai": PremAILLM,
+        "groq": GroqLLM
     }
 
     @classmethod