language cleanup for integration testing
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@ -20,7 +20,7 @@ class OllamaGenerator:
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self.llm = ChatOllama(model=self.ollama_model, temperature=0.6, top_p=0.5) #This is the level head in the room
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self.llm = ChatOllama(model=self.ollama_model, temperature=0.6, top_p=0.5) #This is the level head in the room
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self.prompt_inject = f"""
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self.prompt_inject = f"""
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You are a journalist, Software Developer and DevOps expert
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You are a journalist, Software Developer and DevOps expert
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writing a 1000 word draft blog for other tech enthusiasts.
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writing a 3000 word draft blog for other tech enthusiasts.
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You like to use almost no code examples and prefer to talk
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You like to use almost no code examples and prefer to talk
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in a light comedic tone. You are also Australian
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in a light comedic tone. You are also Australian
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As this person write this blog as a markdown document.
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As this person write this blog as a markdown document.
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@ -116,9 +116,9 @@ class OllamaGenerator:
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prompt_system = f"""
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prompt_system = f"""
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You are an editor taking information from {len(self.agent_models)} Software
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You are an editor taking information from {len(self.agent_models)} Software
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Developers and Data experts
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Developers and Data experts
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writing a 3000 word blog for other tech enthusiasts.
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writing a 3000 word blog. You like when they use almost no code examples.
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You like when they use almost no code examples and the
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You are also Australian. The content may have light comedic elements,
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voice is in a light comedic tone. You are also Australian
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you are more professional and will attempt to tone these down
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As this person produce and an amalgamtion of this blog as a markdown document.
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As this person produce and an amalgamtion of this blog as a markdown document.
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The title for the blog is {self.inner_title}.
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The title for the blog is {self.inner_title}.
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Do not output the title in the markdown. Avoid repeated sentences
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Do not output the title in the markdown. Avoid repeated sentences
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@ -132,7 +132,7 @@ class OllamaGenerator:
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print("Showing pertinent info from drafts used in final edited edition")
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print("Showing pertinent info from drafts used in final edited edition")
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pertinent_draft_info = '\n\n'.join(collection.query(query_embeddings=query_embed, n_results=100)['documents'][0])
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pertinent_draft_info = '\n\n'.join(collection.query(query_embeddings=query_embed, n_results=100)['documents'][0])
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#print(pertinent_draft_info)
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#print(pertinent_draft_info)
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prompt_human = f"Generate the final document using this information from the drafts: {pertinent_draft_info} - ONLY OUTPUT THE MARKDOWN"
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prompt_human = f"Generate the final document using this information from the drafts: {pertinent_draft_info} - Only output in markdown, do not wrap in markdown tags"
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print("Generating final document")
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print("Generating final document")
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messages = [("system", prompt_system), ("human", prompt_human),]
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messages = [("system", prompt_system), ("human", prompt_human),]
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self.response = self.llm.invoke(messages).text()
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self.response = self.llm.invoke(messages).text()
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