Add anthropic llm engine

src/engines/LLMEngine/AnthropicLLMEngine.py

@@ -4,24 +4,34 @@ import orjson
 
 from .BaseLLMEngine import BaseLLMEngine
 
-# Assuming these are the models supported by Anthropics that you wish to include
 ANTHROPIC_POSSIBLE_MODELS = [
     "claude-2.1",
-    # Add more models as needed
 ]
 
-class AnthropicsLLMEngine(BaseLLMEngine):
+
+class AnthropicLLMEngine(BaseLLMEngine):
     num_options = 1
-    name = "Anthropics"
-    description = "Anthropics language model engine."
+    name = "Anthropic"
+    description = "Anthropic language model engine."
 
     def __init__(self, options: list) -> None:
         self.model = options[0]
-        self.client = anthropic.Anthropic(api_key="YourAnthropicAPIKeyHere")  # Ensure API key is securely managed
+        self.client = anthropic.Anthropic(
+            api_key="YourAnthropicAPIKeyHere"
+        )  # Ensure API key is securely managed
         super().__init__()
 
-    def generate(self, system_prompt: str, chat_prompt: str, max_tokens: int = 1024, temperature: float = 1.0, json_mode: bool = False, top_p: float = 1, frequency_penalty: float = 0, presence_penalty: float = 0) -> str | dict:
-        # Note: Adjust the parameters as per Anthropics API capabilities
+    def generate(
+        self,
+        system_prompt: str,
+        chat_prompt: str,
+        max_tokens: int = 1024,
+        temperature: float = 1.0,
+        json_mode: bool = False,
+        top_p: float = 1,
+        frequency_penalty: float = 0,
+        presence_penalty: float = 0,
+    ) -> str | dict:
         prompt = f"""{anthropic.HUMAN_PROMPT} {system_prompt} {anthropic.HUMAN_PROMPT} {chat_prompt} {anthropic.AI_PROMPT}"""
         if json_mode:
             # anthopic does not officially support JSON mode, but we can bias the output towards a JSON-like format
@@ -37,10 +47,10 @@ class AnthropicsLLMEngine(BaseLLMEngine):
 
         content = response.completion
         if json_mode:
-            #we add back the opening curly brace wich is not included in the response since it is in the prompt
+            # we add back the opening curly brace wich is not included in the response since it is in the prompt
             content = "{" + content
-            #we remove everything after the last closing curly brace
-            content = content[:content.rfind("}") + 1]
+            # we remove everything after the last closing curly brace
+            content = content[: content.rfind("}") + 1]
             return orjson.loads(content)
         else:
             return content
@@ -52,6 +62,6 @@ class AnthropicsLLMEngine(BaseLLMEngine):
                 label="Model",
                 choices=ANTHROPIC_POSSIBLE_MODELS,
                 max_choices=1,
-                value=ANTHROPIC_POSSIBLE_MODELS[0]
+                value=ANTHROPIC_POSSIBLE_MODELS[0],
             )
         ]

src/engines/LLMEngine/__init__.py

@@ -1,2 +1,3 @@
 from .BaseLLMEngine import BaseLLMEngine
-from .OpenaiLLMEngine import OpenaiLLMEngine
+from .OpenaiLLMEngine import OpenaiLLMEngine
+from .AnthropicLLMEngine import AnthropicLLMEngine