refactor: classes and configs (#528)

embedchain/llm/antrophic_llm.py

@@ -0,0 +1,29 @@
+import logging
+from typing import Optional
+
+from embedchain.config import BaseLlmConfig
+from embedchain.llm.base_llm import BaseLlm
+
+from embedchain.helper_classes.json_serializable import register_deserializable
+
+
+@register_deserializable
+class AntrophicLlm(BaseLlm):
+    def __init__(self, config: Optional[BaseLlmConfig] = None):
+        super().__init__(config=config)
+
+    def get_llm_model_answer(self, prompt):
+        return AntrophicLlm._get_athrophic_answer(prompt=prompt, config=self.config)
+
+    @staticmethod
+    def _get_athrophic_answer(prompt: str, config: BaseLlmConfig) -> str:
+        from langchain.chat_models import ChatAnthropic
+
+        chat = ChatAnthropic(temperature=config.temperature, model=config.model)
+
+        if config.max_tokens and config.max_tokens != 1000:
+            logging.warning("Config option `max_tokens` is not supported by this model.")
+
+        messages = BaseLlm._get_messages(prompt, system_prompt=config.system_prompt)
+
+        return chat(messages).content