langchain/docs/cassettes/few_shot_examples_chat_7790303a-f722-452e-8921-b14bdf20bdff.msgpack.zlib
ccurme 595dc592c9
docs: run how-to guides in CI (#27615)
Add how-to guides to [Run notebooks
job](https://github.com/langchain-ai/langchain/actions/workflows/run_notebooks.yml)
and fix existing notebooks.

- As with tutorials, cassettes must be updated when HTTP calls in guides
change (by running existing
[script](https://github.com/langchain-ai/langchain/blob/master/docs/scripts/update_cassettes.sh)).
- Cassettes now total ~62mb over 474 files.
- `docs/scripts/prepare_notebooks_for_ci.py` lists a number of notebooks
that do not run (e.g., due to requiring additional infra, slowness,
requiring `input()`, etc.).
2024-10-30 12:35:38 -04:00

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oyRt/Rxh5VvNaVp7EyfZrYgxY119jkkNcBIJ5dmLfDg9EXNau0tZZ0VB/Z37m9e7lkn1VdZaP/tgAIEtfEtnD+1Yo5arYAxPW6BGAYUL08V4tJqPtX0kK1BlhpG9zrJtXcPD67+jGzLI73BT0eJ4AX5QzdWH4CjqReG1XBwaC/eyKR0GTbEBlZrgpqsV2uxbzDIil1KXDtlpQ18dxJ8W1QUGDAj4GFJPX/KL6yq0HcgzT2e9VNqcQumv7n+37pmfFABWeS6dFaqb/1zZJvrMKd1mB9va/gMr6r5ZpdrTYl8Op4iWiDt1IUMTVnHW4OHwMYqi2kr/amZwjMPN91bA9diWSH6wlAzSN4pc3eKX5ve2UNGw7x5xxWSJhTPmUdL9eBaaj/NSydnRKuUVUzP/Ras7SrDqiPZyxZ/VqEeLlE9m/FLUw10xJZPVG6RSWkJ0jgBQfD7VSP/pK0hBPS7/aHcLUOWK8BG7Vzized8B7CDz02vK0eNhs8340qFxQ4JGG2NMX4BqHc0oMqwgn4vqn5KbKbvTPaSQLDwyee39G6/RtiWU9x+5eabQ2368UtwngR+LuE9Kf7AkV49DRfOwJRv81RG5IqontCSceR49YM24eUH3Q9XPo+UbIjumZMBLwArABB/efudkqZ7w5vvbr/e+nQCOrYwUHkEU8YPskbbBHhkWHJL1k2WQo8W0js4ERaGzXSUPidVDP8RGZtcruPqmto6KSnm+BkqXbZGnzf3Cl7mJznI8QFWvpYOIXS0/5dKjXitxJEr1kPHYsaMjnXirpWDxsvIlmrHOdK8OFFrZ75XAwJhxOvV5lY+g9wnWq0OdN/coS2NBJaVY3dDnBZ4QKtnlcKSNjVjecVK3SnfSK91yIpCDTaloYOyxlfrKqRoK+09QkDFZw75DMipdaWhFe6WUAniZHnOtxYDW/bxVtbl2AZPG91Qgc5OCqmkfbzkVvb95/nr019Aklh7GnOHmOvNrD5ozDxlhzoXLBbI+nGYfZvenLvgr5shp820f72NVMH5hS3llO/2IhZv4Fk6RHo888HYRg7CsW+5pf+LfPGRa4ZU0uhV+biXA3QCOqo63k7IqSlDzWghJGLgl+M1n5X4MhIejM2P94xbyfdFMfB7AICEtzE3a6lpkoelxPFAr2+Kz7712jKqJxfBmd958I01UPld853SlX5S5e9wwZ70XlG0ngUXu9ZdbPIsiNM3ELbxp2I3nHOmT7IyF8e7J2cqcwWk9cg0DeouX3oyeLrloAehLvTksXsCjdN5M11WhLITtS+d6d23PhN24onY6seNoFziSzOfWFClJ/sOlZh00cl4WE10Mqd324ENy9cPqkZlDKRAaa2dlz8CVoKo1nx4/y6oFED9ADXStS/+cVYGhQOYdM2En2hYpPrmu8gWqZOWjailoLLoNMZf9OGzwJ2nM5vazV0TJw2DoR3Z55Aea6yrrYH1Uf3/ig4rtRJm4plhjl/Xr10fe27n7TD/TiNu6oplbbha8n7L1MAz/Ovx9wqwTAnXB0+3LhTvm2ayhSfioff/Ws6OUi0oAEYkg7nLvmF47lQuJBYSAOJXkP+cRDIRizu2meR1FmNb6N/Ie/Hise6XbmbL3fcUKK1pdRC9mG8U9Sanx+wtZnZ9TRKFvGbT3Fhrt0fJ80FxHvY2G4S8oX9jWbaFOmQj1pdDQWF7t27TmzIKSAKJKZJ/UPViPErlqTr/KunD881zWhePmS9HIG+9mGrMV+SJj3cvjjKYUYO0HTU8v8D4uDumRZSKEfz2mu99e63S1HDzgJRaOCfcPAQ+XBA8dGgteEyq8yF72ZmKh7CWlLcctihoYNbxzyLFmL67bcpiHrxygCiYPO3gwpy1Y9H/RSYpaEk4+ni199up2nYhjPFXUbrANqjwoHRez8/bP9B0C0jomaYa8xqzrc5o64tMfAcg3Ck38sbNG7NWYWt+eIFbJxWrda6YYhvT1DF94W/jggfo0K69T9VzW1LLL4VSLmorI43PKQeL8oblwvo+0g9VsU7SejOeo2P6UapOobj0ltslky91qjDgbHpl5sHgSv+FZZxvQ//QaZUl3e/NHAvj7sOe5oADWhbyl8KID4NfX1b5xyxV/MCV6Kz+jDPGMzT9hvaq/X9unTzvNaViDlJbRTV4qnX70+RvXo9qmnLkHK4kpg1yvmhdyrSKwRgHvIg71wp6fsHCH2r7NVGc5a7ebJG3G8l56hcnTuXxmBqZQaSnYofHa6nvYVWZUNripmIdLDvFJCGptk9H/heUUGElJP5jXD1YQt1ffqfukaeq3GhGvuCHIsu/ahva9Emf/rBH8R11LI/gVc+mVx3DbVLVr1TO756P1E2sNji0up3e09cU237abbPL9SskYrY9YPSa2YVR5tkHS4UsdsIfwgXc2pMmzT0ywztDpFTfDHP76YS/NNkM+lZiyrfoSBvn87DlDIR5JC5AxVpzxqmFq3AOtYP1U1d/36ygQOkjBEcL1pI6OiO7ew6LL+Rq8Nc11fWs1K7NGpLPLEnvQLVpqwaWARavtlSSbBgpGNjafoYYHAPjzc9Euwmvr4yDE33dV0bNh6ZamygtYeqOsr9zeTqpPJ8V7vjo9pyU2jxFhxvnp63Z0QnNX6Ukekagsl+aFV+8HXp6sa7tcdvb7mVQ+IA9Y1qsfuj3zbUMlTiBF+Mx04QDE8en7g5R4Kwkit3qXPQOvXK0nx8TGjbV6lfQext7L0TMOxeZeRgqSGDaUTGz6zOLUqonYDI/k/VVthHkwdehy/PZzjT8XaV8nta8tSl5eWt8CHvWw3rHllkuJdjjDlfngLNsWd+WAFkI9c+kJbW/kQgZ1puJOOZwhTnbx5I7JWJUizoJR02PzYtyodVHmSMhyRusZnkbBrLn0D31FsO/i78tG5eaCaAf1NKgNw1u1z1kDTqWRJ+eeD11lvgyT+2hTuKxmn6aW9LTRoPJV9Wc1Ny6ftTXtQmLYjJ4XDXS00vhjWKFYd5Lh/BfAGQOX5p92nhaS4RHal48Zqt1KKLXVCex4fNWZ288Dpx4MQJ30WGP8CejhCneQn+3r8/7kVxZvWmdR2qIYZJdiOqZtHHhM0/S7UkbtvMaUmCAyfFuTXHVAM/4UoS9oQyUOjMNDFJy5vkM/vm+rQGh6YElylA/GkHmbRGIli5/c8IRfmTzRnqmNzcJR6C1FHIRA58XJvNp+jLH5mh841zS45n/IpM8Cg04QCGOmricrQVf1T8uNlC+zmSq9q03jZb1eqo6LvtX/YjpvrsnX4qO1T2y/KEGRa9PT+CG7orR3ctgIOaaHdcb+W+M8IBUU8Bbz+ISbm52VBImtKuw6cZyEVqQKbw73sZTgn67ctMhjiKB+Pft0iKYWoTZ7zRC6fdyL6JnhGRAlPODlzCMaJX9LUrUT+LZQyDCWj/0uJOqlQrWt3SiDaG9sTuTR7opTQtknxKpPhOy2lHA9c6g109OGEuzcNWB+arJi6wAB9igBBBnfS3T0SfZHM1B3JWQx4yO9BULC3wfgq8whYoDXcu2BuwmVHn6hFWV6lu07m0peUxH1E7SRoWVz/jdhYmJyFD7Ty3z7PEymBfM7wcNmLON7vue2J5ssgjbC7uazep7fVHlm++JoG0pUl8qlNJ/k6ExbZEo7PEN5e2jL2e6wHQ6sbskps52RyCmjhPKpE4VCbZc5Bl9tCZJehjl43CIx9zcOsEA5e7ko3IWbWwresFbWVHRnF+PYdFV2l5CAd/6TG4M/UOoPkp7vZ49WPbzVf+ZK30VeRGseFCZVWlRYfHXljdFG/AWkkE3ynDSXluSbR9zrfKR+1xuHi99qQI7pimLAoC+nCp9Eb3Dp+sG4V4uEjLarj8T0X6CqOkn8LFZzX0NGNspepo/5O7LYJsOIopHTysFlCaZdB90cK4VH/R8La9TyF/MVqZIrtsfgRtPaKIFO/qXIIfIzJmAHf5C/4s7+q9Wb0UfeHTUJCa+GMrmUVxeERppyrCI8U/64nUF+bonwfDa0ISl7QuGORBVrrdE9rylTFYo9cDlpaisyyfF0SmtpdGUjPlHMVeaO4dxnpsS5pitkf+aCkpF9/zejlWt7jDlrK1DZ8/7XlME/2yf7VqYDqURAUOXd/dWHUyFsrHxVDln0z49K5bdPoJb8zP33spfLWHsrUkJ9nl+Mk/G0/MDMV13Y0RbEEG704wHelhey/MRUKREyQFjtC/KmF6JJKMhyZ3LtxqttxNeliEsyafwq4TJWrlAD8+7s+CupdnVF2ZFhDQ+kqB8nh1Y8k4EHhtrrRiIXEzkaEO9SeeaSn7+0UZ0bxPCWGuJ426eHZF7zbAzRnnrOSC10JRStVMwNj1UunKpk8+sfakkBfPMGf/py/YXeQXl8L4zJS0BJgeNobRm5QV171T7Qt+B8cBUiUKGm/9MFHyNpRDUGB8U/GZMX61XpffFtPq78dJ/Ct6dfXCeUivr4ocSKfQprzSPFlId3C2XmZqQDBkJDLB55xY11RUhZvAuN25E2UJyVT94fu/B+MKw9oslJJjOZ+9R4UI7dvvWG82yI82njwybvGk9hj+8yjDr+f1TvdtTrvuv3XtYUc5nTBmRv47ddlR4cJB2uXtvbgS5En4Kmzl+nIa1lDYBi31J2r0JgLGnmnUZfCoIURKcVqfjnu2d4wks4q6xen2PvqrJDfNOr2M4fRQQ4BypcLA5R0F2nUMej2VNB8lRV8ALM2QxhFkHdEtwbghgwiOZ67N0HXvkg00P2WGoUFoOYW/toTq9tkHdXbneOgM87WUfatAVbbfNTM5jm+LFpLnONx7vDT9qDcffG1nkM8FzJd67NUo7llzjdl1nRjdzBxamJb5xNTXQYch7PjtukUBP8Y9kWK916gg4yTxzu8R/t0472dC/5z80vQM4znSv32N46ijyzv4er3reKnqSCGDphfOVBB31BN9kOewgb5MuHRwZUzOgh7GijrWE06xM1xPdD1VFb29Grwxnq0YrisV8fEiePRbU0Zo0IHDv2/wAKmj2S