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authoredDec 26, 2023
docs: updated wrong output in Upstash Redis Cache section of LLM Ca… (langchain-ai#15140)
…ching documentation <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description:** Fixed the wrong output and code block comment in `Upstash Redis` Cache section of LLM Caching documentation, - **Issue:** langchain-ai#15139 , - **Dependencies:** N/A, - **Twitter handle:** [@vardhaman722](https://twitter.com/vardhaman722)
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‎docs/docs/integrations/llms/llm_caching.ipynb

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{
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"data": {
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"text/plain": [
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"'\\n\\nTwo guys stole a calendar. They got six months each.'"
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"'\\n\\nWhy did the chicken cross the road?\\n\\nTo get to the other side!'"
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]
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},
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"execution_count": 50,
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],
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"source": [
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"%%time\n",
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"# The first time, it is not yet in cache, so it should take longer\n",
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"# The second time it is, so it goes faster\n",
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"llm(\"Tell me a joke\")"
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]
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},

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