Minor logging and formatting changes

Add default `llm_bots` configuration to Docker
Implement persona support from NeonGeckoCom/neon-llm-core#3

Dockerfile

@@ -6,8 +6,10 @@ LABEL vendor=neon.ai \
 ENV OVOS_CONFIG_BASE_FOLDER neon
 ENV OVOS_CONFIG_FILENAME diana.yaml
 ENV XDG_CONFIG_HOME /config
-COPY docker_overlay/ /
+ENV CHATBOT_VERSION v2
 
+COPY docker_overlay/ /
+RUN apt update && apt install -y git
 WORKDIR /app
 COPY . /app
 RUN pip install /app

docker_overlay/etc/neon/diana.yaml

@@ -1,4 +1,4 @@
-log_level: INFO
+log_level: DEBUG
 logs:
   level_overrides:
     error:
@@ -8,7 +8,7 @@ logs:
     info: []
     debug: []
 MQ:
-  server: api.neon.ai
+  server: neon-rabbitmq
   port: 5672
   users:
     mq_handler:
@@ -19,4 +19,10 @@ LLM_CHAT_GPT:
   role: "You are trying to give a short answer in less than 40 words."
   context_depth: 3
   max_tokens: 100
-  num_parallel_processes: 2
+  num_parallel_processes: 2
+llm_bots:
+  chat_gpt:
+    - name: assistant
+      description: You are a personal assistant who responds in 40 words or less
+    - name: author
+      description: You will respond as an author and expert in literary history

neon_llm_chatgpt/__main__.py

@@ -25,9 +25,11 @@
 # SOFTWARE,  EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
 from neon_llm_chatgpt.rmq import ChatgptMQ
+from neon_utils.log_utils import init_log
 
 
 def main():
+    init_log(log_name="chatgpt")
     # Run RabbitMQ
     chatgptMQ = ChatgptMQ()
     chatgptMQ.run(run_sync=False, run_consumers=True,

neon_llm_chatgpt/chatgpt.py

@@ -29,6 +29,7 @@
 
 from typing import List, Dict
 from neon_llm_core.llm import NeonLLM
+from ovos_utils.log import LOG
 
 
 class ChatGPT(NeonLLM):
@@ -71,7 +72,7 @@ def _system_prompt(self) -> str:
         return self.role
 
     def warmup(self):
-        self.model
+        _ = self.model
 
     def get_sorted_answer_indexes(self, question: str, answers: List[str], persona: dict) -> List[int]:
         """
@@ -102,7 +103,7 @@ def _call_model(self, prompt: List[Dict[str, str]]) -> str:
             max_tokens=self.max_tokens,
         )
         text = response.choices[0].message['content']
-
+        LOG.debug(text)
         return text
 
     def _assemble_prompt(self, message: str, chat_history: List[List[str]], persona: dict) -> List[Dict[str, str]]:
@@ -153,4 +154,4 @@ def _embeddings(self, question: str, answers: List[str], persona: dict) -> (List
         embeddings = get_embeddings(texts, engine="text-embedding-ada-002")
         question_embeddings = embeddings[0]
         answers_embeddings = embeddings[1:]
-        return question_embeddings, answers_embeddings
+        return question_embeddings, answers_embeddings

neon_llm_chatgpt/rmq.py

@@ -48,8 +48,13 @@ def model(self):
         return self._model
 
     def warmup(self):
-        self.model
+        """
+        Initialize this LLM to be ready to provide responses
+        """
+        _ = self.model
 
     @staticmethod
-    def compose_opinion_prompt(respondent_nick: str, question: str, answer: str) -> str:
-        return f'Why Answer "{answer}" to the Question "{question}" generated by Bot named "{respondent_nick}" is good?'
+    def compose_opinion_prompt(respondent_nick: str, question: str,
+                               answer: str) -> str:
+        return (f'Why Answer "{answer}" to the Question "{question}" '
+                f'generated by Bot named "{respondent_nick}" is good?')

requirements/requirements.txt

@@ -1,4 +1,6 @@
 # model
 openai[embeddings]~=0.27
 # networking
-neon_llm_core~=0.1.0
+# neon_llm_core~=0.1.0
+neon-llm-core[chatbots]@git+https://github.com/neongeckocom/neon-llm-core@FEAT_ConfigureChatbotPersonas
+ovos-utils~=0.0.32