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Add support to delegate work
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@@ -1,121 +1,16 @@
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body: '{"messages": [{"role": "user", "content": "You are an AI assistant reading
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the transcript of a conversation between an AI and a human. Extract all of the
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proper nouns from the last line of conversation. As a guideline, a proper noun
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is generally capitalized. You should definitely extract all names and places.\n\nThe
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conversation history is provided just in case of a coreference (e.g. \"What
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do you know about him\" where \"him\" is defined in a previous line) -- ignore
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items mentioned there that are not in the last line.\n\nReturn the output as
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a single comma-separated list, or NONE if there is nothing of note to return
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(e.g. the user is just issuing a greeting or having a simple conversation).\n\nEXAMPLE\nConversation
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history:\nPerson #1: how''s it going today?\nAI: \"It''s going great! How about
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you?\"\nPerson #1: good! busy working on Langchain. lots to do.\nAI: \"That
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sounds like a lot of work! What kind of things are you doing to make Langchain
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better?\"\nLast line:\nPerson #1: i''m trying to improve Langchain''s interfaces,
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the UX, its integrations with various products the user might want ... a lot
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of stuff.\nOutput: Langchain\nEND OF EXAMPLE\n\nEXAMPLE\nConversation history:\nPerson
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#1: how''s it going today?\nAI: \"It''s going great! How about you?\"\nPerson
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#1: good! busy working on Langchain. lots to do.\nAI: \"That sounds like a lot
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line:\nPerson #1: i''m trying to improve Langchain''s interfaces, the UX, its
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integrations with various products the user might want ... a lot of stuff. I''m
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working with Person #2.\nOutput: Langchain, Person #2\nEND OF EXAMPLE\n\nConversation
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history (for reference only):\n\nLast line of conversation (for extraction):\nHuman:
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How much is 1 + 1?\n\nOutput:"}], "model": "gpt-4", "max_tokens": null, "stream":
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