Add support for loading api_key from config or env variable (#1421)

embedchain/llm/jina.py

@@ -12,9 +12,9 @@ from embedchain.llm.base import BaseLlm
 @register_deserializable
 class JinaLlm(BaseLlm):
     def __init__(self, config: Optional[BaseLlmConfig] = None):
-        if "JINACHAT_API_KEY" not in os.environ:
-            raise ValueError("Please set the JINACHAT_API_KEY environment variable.")
         super().__init__(config=config)
+        if not self.config.api_key and "JINACHAT_API_KEY" not in os.environ:
+            raise ValueError("Please set the JINACHAT_API_KEY environment variable or pass it in the config.")
 
     def get_llm_model_answer(self, prompt):
         response = JinaLlm._get_answer(prompt, self.config)
@@ -29,13 +29,13 @@ class JinaLlm(BaseLlm):
         kwargs = {
             "temperature": config.temperature,
             "max_tokens": config.max_tokens,
+            "jinachat_api_key": config.api_key or os.environ["JINACHAT_API_KEY"],
             "model_kwargs": {},
         }
         if config.top_p:
             kwargs["model_kwargs"]["top_p"] = config.top_p
         if config.stream:
-            from langchain.callbacks.streaming_stdout import \
-                StreamingStdOutCallbackHandler
+            from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 
             chat = JinaChat(**kwargs, streaming=config.stream, callbacks=[StreamingStdOutCallbackHandler()])
         else: