)]}'
{
  "commit": "664578d7de26cf1d54b459b05f13f997d6973f17",
  "tree": "15a869e2aa29e255b8bc9a92a0a77b004eaa3e4f",
  "parents": [
    "2b67bdcea4613f489195200365a0f22ba27e6436"
  ],
  "author": {
    "name": "Stefan Krawczyk",
    "email": "stefan@dagworks.io",
    "time": "Sat Jul 29 23:31:07 2023 -0700"
  },
  "committer": {
    "name": "Stefan Krawczyk",
    "email": "stefan@dagworks.io",
    "time": "Sat Jul 29 23:31:07 2023 -0700"
  },
  "message": "Starts a contrib module to capture LLM DAGs\n\nThis one specifically brings in the text summarization example\ncode and makes it more specific, that given some text, you\ncan summarize it.\n\nThe next extension would be to connect to a vector store to retrieve\ndocs/look up which ones to summarize...\n\nThings to think about:\n - naming -- can we standardize so these flows can connect? or is that too hard?\n",
  "tree_diff": [
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      "new_mode": 33188,
      "new_path": "hamilton/contrib/__init__.py"
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      "new_path": "hamilton/contrib/llm_dags/text_summarization.py"
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}