├── .github ├── .gitkeep └── workflows │ ├── integration.yaml │ └── publication.yaml ├── .gitignore ├── LICENSE ├── README.md ├── demo.gif ├── dspy_inspector ├── __init__.py ├── inspector.py ├── inspector_test.py ├── styles.css ├── styles.css.map └── styles.scss ├── examples ├── cache │ ├── library │ │ ├── .gitkeep │ │ └── joblib │ │ │ └── dsp │ │ │ └── modules │ │ │ ├── colbertv2 │ │ │ └── colbertv2_get_request_v2 │ │ │ │ ├── 0503fe22e7f56285fc013a39ec487ab6 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 0f421e64ab0a472d131d76b7dd188a94 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 10bb463abe6be93852112ab43bff5b46 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 136df4c765fddd81f7a13a172178c4da │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 150075a1bf3a28b36155dbd2951db527 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 15886dee4e71f35d19c29120466b1efb │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 19874b5259d20ff4562ae6292b9148aa │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 21847887e22c841e0f229cc2652a9a0c │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 30bb5cc3104d8522fbbd4b5a2ff402be │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 32988de180765329068a6b281205c732 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 3887f23fe4e6a733d28e34766d1965d5 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 3fc76cc05acbdeacd78ef60a13b56c68 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 406a63b64afa7b025d36fdad9329ee62 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 491aa7d92026be012f71e8754b82b1f4 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 5140f09a0539869e103c57e7ca0401e5 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 51f9bc68e08e42081cf57c08dd9c3966 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 6c467d39f91964866a1d304f0e03c194 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 7225fd52ee9b71433588550b37402353 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 73f4a90d65c24d7d03599445cb30e0db │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 753a2b38dae7202fbffe5fbe960c535d │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 77cf50c9a0905e57a20b5aa11e807be1 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 791d5e40d189dcd94ac7566258f054fe │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 7d0560350527d568af277b3d1af7b33c │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 807b939e237e1a3be53a2fcdb447a3f0 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 83776d51a37de73476375ec547e2c6d1 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 87fbfcbc39c89b0b0f6bc59f60641555 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── 9c9899265f1a21d3c072a9820285423c │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── a28e6c9b371b8045fc21e25044286bb3 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── a3ea171489822a583bff977ebdb269a7 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── a3fe0554c8a8be6a53a8f39e30591e1a │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── a7e04e9e2a4d7a18b27f4e023dbbf539 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── a94f47ffe5cad8cd2381285075cbc582 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── ad41cf0d7c8728ec29e8e67bb2439891 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── afec39df73d2e1a5e505df48e85e13f4 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── b5350743d1654ca856d173de9a652f34 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── bc6d081159bec799c476dd281ec89955 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── bfcce286c7b7e74f7684a54e9b9585d8 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── c06cda107d544b6c40b69a684057890d │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── c6d44afd8454be10217dcdd49ffdf3c9 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── c737a3d4e99b160f62bf7a85154c1d2d │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── d6eac444d1c28da12ea7112882108125 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── e2e70623c19a924ed6c5ad3094b1fc02 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── e3e75a8d474568cf52c7516a9de8d4c0 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── e55859cb822cf0da147bb86758fa723c │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── e8ce7324957e7a1fe9d353762152f1f6 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── eb09abd2ea4a2744003ec06cd27217e4 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── f03c85d5a162e761915b2dd472b2c91d │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── f4a523ca22a8706b7a7b223c9de87dc4 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ ├── fccb54a94371620c3cb89d0cdc6c48d1 │ │ │ │ ├── metadata.json │ │ │ │ └── output.pkl │ │ │ │ └── func_code.py │ │ │ └── gpt3 │ │ │ └── v1_cached_gpt3_request_v2 │ │ │ ├── 01faf00bbb89b82211e13fc32fabedff │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 032707610f0112f2df70e09ead671b98 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 100b1b98018555164ef7da2f39aa421f │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 11307fe0e2e5cb702563f4f53f931645 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 1225b7de2573d06f10bcdb9bb395499e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 124bedbb096b72ec524ebf0bca7e12a0 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 14f5e9f676257b25d15383068139bd5f │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 154eb763f29900b98aca45820c36a545 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 196ca2b6c3b8a40dadd1d09c557230ee │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 1af0bbceb177f51b9fc443a7908b9965 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 1b354c08ccf8fc7ea627860e2ec6e9ef │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 1ec843029facff2e09f94743315966fc │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 1effe5bb5ce841b8ae44549091edd756 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 2e04b43c553a449912eaa0659d4eb628 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 2e124c3df7f530dc74cf4c2d9fba9fe4 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3169eb865161841deaa5be03c4b4178c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 31aef863874ffcd66f12789f6313bfec │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3301bf1d16caa5c0dae51906927ffab1 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3b4147e49b145726e84845e07726a11e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3efbd7a654ee5a3f0a685821720206bb │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4104cb5e72dbf1358aa7cbbc5fe12887 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 462d28bdec419c965fc7e20e6dd1472a │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 47ce8df41da9dfc939b37d5fe720ab8b │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4d5bc3ceea158275b5dadf6f9bbd1d18 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4ff1edacbec78802938644c81a2ea916 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 505d598c019890aefc25c3b66ef9ab63 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 506461e879e1fbdb0ac5168350aaf893 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 54286ae0779a58850e077b56b854d1a3 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 58b22b693b0b0291ddefbe03a4fd6307 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 5a4f2267c09c6053bb89e7dc7a47920e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 5ac360906237a71b5d5b8b27b5d7563f │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 68430b144cbc9da19def8a7e492e381c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 69aa9a35e5f8d762a88dcb18e6d1cb3d │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 6c316b20d0b1086b47288e0bd245a5d8 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 70f901f1d1e1f953856298c77113f652 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 714b3da539a19e089e7180fc59fa989f │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 72fb57fe5122c2e41e95dfd1b943e033 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 7ef9faeb619e1741c3c39551a8977160 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 7f88806a905d18b7a346c119424f6bcb │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 83921a5dc66f01cc2aac3ee9aed8f938 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 84ecc60a8c78f5a64e31a8f16a42b28e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 90658a970864d87a6532a27021f7eafa │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 90ac1b1b7ec9c1f6b56f907cd9bf0343 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 92f84f085c5e61bde5389a606030640b │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 95f0f14269c96b32bfed2a5d2edffc08 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 98dece8889d0964de1dcd2f27dea7095 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 9ab0e318cd63e686851710288bcf4b73 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 9b0bb6343b6035af6bfe817726bb8c48 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 9ee58dbf302e24cc225e19225efb15da │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 9f1b8bd1208383c4c04f246fcaafff3c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── a02fa680f09cbc717784454df7bd1723 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── aa7e53871f3d671c5e5c5a2f82308031 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── ac9322b4cfb18e0607af255939823c07 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── ad053727f98473ce09addeb62317bddd │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── b1b1dae2f74d963c3a4701265b67c095 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── b407e830546a7dbb2f8f4ba4f1368b96 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── bbcdefd06fb9b8f4ea5cdfccdbceaaaa │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── bf1c3bcc29eb6f0e4a4bfa068e55eb75 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── c5a2f9de9c3276bf273c5e02e30067d4 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── c87e3a24c30c43faf1a8496bc3b7591f │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── c934c66f15e7d66d57006ffb8837debe │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── cbdf10cda922ee774da5eab9b7d2f53a │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── cd7594497490de62abf4740cd7dbba6c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── cfb8900cacdd87fdd5b5ef72c8b4f79e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── d4dca77a5e707ec0635131ca336402b2 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── d6cc2851a319e224186b34c95b53b672 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── db61563921eb93d67c0effdb4f84b5bb │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── dba4a18403110f9294328a257f3e105c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── e49416144e4080cdf8e25b5599d2aaa1 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── e4a1256b2ccc72a5d2440efc47040839 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── e809486a4066763ae1b2c14647f89a2b │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── ea45009babccdc5410f59ab663a84a42 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── ead0dc47678b9082407084899896bda0 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── f008b3e20265fffdeacbc7141d8ec266 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── f01b9eee254eeef43d2439234455368e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── f10e6d26308b20d8ea094f41bf159ffc │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── f43b216bd056be971141b5327d0f922a │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── fbb36fc72e4165b23d79b55e76822f24 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ └── func_code.py │ └── notebook │ │ ├── .gitkeep │ │ └── joblib │ │ └── dsp │ │ └── modules │ │ ├── colbertv2 │ │ └── colbertv2_get_request_v2_wrapped │ │ │ ├── 061c38e94fbdbd5428c4cad492dd5b50 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 14f20d94a919263eb1a355217fe4caee │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 167f76884fd1b31e708635467af6562c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 176ce00ab66db26e47ed873dbdeeb34c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 1b83a889cdb8733d366684d408f22e89 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 24733ff0d9d0ff8a4d38a56f3d4ecfa5 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 26ce8bd988b42b89d7ba2959fcd5b05d │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 27eb9c9379e52d69ae49a0ed494947d5 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 28e4e93db34375f437f93620675d7c57 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 2f5dbc93eb7e6a2977623720a4c3bedd │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3a12c067f342a74e1f3c81d6ef080529 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3b417d95c2fa9cb89ea2cd909948eb55 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3de2eff7774f913ff77a30ba4ca9ed0c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 3ed936c14ac13f739141b4552b2438a5 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 41618a2988ce467fa441c88a1ddffc6e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4295e7ef2e7423d201aaa49faed6228e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 49160d8accfb20cfdc5f3affe32a7427 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4aaa0d04b9a02e8339a62e2ef14b852b │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4d2df44dfa688d2269c6d90b4bc5f9e8 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4e0f1a685e8829819def2137d8fff43b │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4eae4626048f297c1fc4c6688cfb5b4e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 4f72346c8761ea4b4fda3a00d48c1f1e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 50f75e4459fe1c7c56482457a2c2a306 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 5219b324309d72e08addd456584356e3 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 542215ffd9bce0eef2fc39ddccc95230 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 56658c3ff406c3ba322ec3d939b02145 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 57c3bd5b155636117397f4a2cb61f900 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 6c8efb67b8194036fff60aaed500a184 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 70411f6ae59c95d110ed199fb40a367c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 7417e15eb297e2d1465490456348f23e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 7888f1cf0f113ff7e61862dc2ee9e9dd │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 7a24f6c5f17a100d75fcf063543fc5be │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 8642bbfc2388fff02428e0ec71fabaa5 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 890de1c1c1e5962794da15310f9cd82a │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 8ae9afd8e4eef3e0927f103d740ff2cf │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── 989823496910e3d424ce18551aff89f1 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── a2b25d27920af698893e84f30d9e54a6 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── a544474d3cd6b9e55b16e7f6e814cf5d │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── ac77b332569c056bfa73b017aa5a7c9c │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── b679c5e6f54cbb69bdb3793d3abdecef │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── c1c64b3fdb1b26b09f7b401a20ada29b │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── c99401ebf46e1bc7c781baf3c46e0efe │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── d5068f95f4645ab2bfe23c83eba17cea │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── d8ba52adc1510a6de509da8496d8131e │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── e599ebbde02e7ad65113c62b834befc4 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── e8fbbc645c479ba78b95245797e5c754 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── e9679d0ba88b85aa2d083a80286529d9 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── f250e7c259c6c8e7ec998669b7e16890 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ ├── f923e569aad8c7266d686e6dd4929258 │ │ │ ├── metadata.json │ │ │ └── output.pkl │ │ │ └── func_code.py │ │ └── gpt3 │ │ └── v1_cached_gpt3_request_v2_wrapped │ │ ├── 01faf00bbb89b82211e13fc32fabedff │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 032707610f0112f2df70e09ead671b98 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 100b1b98018555164ef7da2f39aa421f │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 11307fe0e2e5cb702563f4f53f931645 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 1225b7de2573d06f10bcdb9bb395499e │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 124bedbb096b72ec524ebf0bca7e12a0 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 14f5e9f676257b25d15383068139bd5f │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 154eb763f29900b98aca45820c36a545 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 196ca2b6c3b8a40dadd1d09c557230ee │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 1af0bbceb177f51b9fc443a7908b9965 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 1b354c08ccf8fc7ea627860e2ec6e9ef │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 1ec843029facff2e09f94743315966fc │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 1effe5bb5ce841b8ae44549091edd756 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 2e04b43c553a449912eaa0659d4eb628 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 2e124c3df7f530dc74cf4c2d9fba9fe4 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 3169eb865161841deaa5be03c4b4178c │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 31aef863874ffcd66f12789f6313bfec │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 3301bf1d16caa5c0dae51906927ffab1 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 3b4147e49b145726e84845e07726a11e │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 3efbd7a654ee5a3f0a685821720206bb │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 4104cb5e72dbf1358aa7cbbc5fe12887 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 462d28bdec419c965fc7e20e6dd1472a │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 47ce8df41da9dfc939b37d5fe720ab8b │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 4d5bc3ceea158275b5dadf6f9bbd1d18 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 4ff1edacbec78802938644c81a2ea916 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 505d598c019890aefc25c3b66ef9ab63 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 506461e879e1fbdb0ac5168350aaf893 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 54286ae0779a58850e077b56b854d1a3 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 58b22b693b0b0291ddefbe03a4fd6307 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 5a4f2267c09c6053bb89e7dc7a47920e │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 5ac360906237a71b5d5b8b27b5d7563f │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 68430b144cbc9da19def8a7e492e381c │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 69aa9a35e5f8d762a88dcb18e6d1cb3d │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 6c316b20d0b1086b47288e0bd245a5d8 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 70f901f1d1e1f953856298c77113f652 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 714b3da539a19e089e7180fc59fa989f │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 72fb57fe5122c2e41e95dfd1b943e033 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 7ef9faeb619e1741c3c39551a8977160 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 7f88806a905d18b7a346c119424f6bcb │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 83921a5dc66f01cc2aac3ee9aed8f938 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 84ecc60a8c78f5a64e31a8f16a42b28e │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 90658a970864d87a6532a27021f7eafa │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 90ac1b1b7ec9c1f6b56f907cd9bf0343 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 92f84f085c5e61bde5389a606030640b │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 95f0f14269c96b32bfed2a5d2edffc08 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 98dece8889d0964de1dcd2f27dea7095 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 9ab0e318cd63e686851710288bcf4b73 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 9b0bb6343b6035af6bfe817726bb8c48 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 9ee58dbf302e24cc225e19225efb15da │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── 9f1b8bd1208383c4c04f246fcaafff3c │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── a02fa680f09cbc717784454df7bd1723 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── aa7e53871f3d671c5e5c5a2f82308031 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── ac9322b4cfb18e0607af255939823c07 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── ad053727f98473ce09addeb62317bddd │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── b1b1dae2f74d963c3a4701265b67c095 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── b407e830546a7dbb2f8f4ba4f1368b96 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── bbcdefd06fb9b8f4ea5cdfccdbceaaaa │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── bf1c3bcc29eb6f0e4a4bfa068e55eb75 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── c5a2f9de9c3276bf273c5e02e30067d4 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── c87e3a24c30c43faf1a8496bc3b7591f │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── c934c66f15e7d66d57006ffb8837debe │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── cbdf10cda922ee774da5eab9b7d2f53a │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── cd7594497490de62abf4740cd7dbba6c │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── cfb8900cacdd87fdd5b5ef72c8b4f79e │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── d4dca77a5e707ec0635131ca336402b2 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── d6cc2851a319e224186b34c95b53b672 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── db61563921eb93d67c0effdb4f84b5bb │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── dba4a18403110f9294328a257f3e105c │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── e49416144e4080cdf8e25b5599d2aaa1 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── e4a1256b2ccc72a5d2440efc47040839 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── e809486a4066763ae1b2c14647f89a2b │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── ea45009babccdc5410f59ab663a84a42 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── ead0dc47678b9082407084899896bda0 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── f008b3e20265fffdeacbc7141d8ec266 │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── f01b9eee254eeef43d2439234455368e │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── f10e6d26308b20d8ea094f41bf159ffc │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── f43b216bd056be971141b5327d0f922a │ │ ├── metadata.json │ │ └── output.pkl │ │ ├── fbb36fc72e4165b23d79b55e76822f24 │ │ ├── metadata.json │ │ └── output.pkl │ │ └── func_code.py ├── multi_hop_rag.ipynb └── subprogram.ipynb ├── poetry.lock ├── pyproject.toml └── scripts ├── __init__.py ├── envs.py ├── tags.py ├── tasks.py └── tools.py /.github/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/.github/.gitkeep -------------------------------------------------------------------------------- /.github/workflows/integration.yaml: -------------------------------------------------------------------------------- 1 | name: Integration 2 | 3 | on: 4 | pull_request: 5 | branches: [main] 6 | 7 | jobs: 8 | integration: 9 | runs-on: ubuntu-latest 10 | steps: 11 | - name: Checkout 🛎️ 12 | uses: actions/checkout@v4 13 | 14 | - name: Setup Poetry 🎵 15 | run: pipx install poetry 16 | 17 | - name: Setup Python 🐍 18 | uses: actions/setup-python@v5 19 | with: 20 | python-version: "3.11" 21 | cache: "poetry" 22 | 23 | - name: Setup Scripts 🧩 24 | run: | 25 | poetry install 26 | poetry run inv env.switch ci 27 | poetry run inv tool.install ci-int --yes 28 | 29 | - name: Lint 🪶 30 | run: poetry run inv lint 31 | 32 | - name: Test 🧪 33 | run: poetry run inv test 34 | -------------------------------------------------------------------------------- /.github/workflows/publication.yaml: -------------------------------------------------------------------------------- 1 | name: Publication 2 | 3 | on: 4 | push: 5 | branches: [main] 6 | 7 | jobs: 8 | publication: 9 | runs-on: ubuntu-latest 10 | steps: 11 | - name: Checkout 🛎️ 12 | uses: actions/checkout@v4 13 | with: 14 | fetch-depth: 0 15 | 16 | - name: Setup Git ✨ 17 | run: | 18 | git config user.name "${GITHUB_ACTOR}" 19 | git config user.email "${GITHUB_ACTOR}@users.noreply.github.com" 20 | 21 | - name: Setup Poetry 🎵 22 | run: pipx install poetry 23 | 24 | - name: Setup Python 🐍 25 | uses: actions/setup-python@v5 26 | with: 27 | python-version: "3.11" 28 | cache: "poetry" 29 | 30 | - name: Setup Scripts 🧩 31 | run: | 32 | poetry install 33 | poetry run inv env.switch ci 34 | poetry run inv tool.install ci-dep --yes 35 | 36 | - name: Build 🏗️ 37 | run: poetry run inv build 38 | 39 | - name: Publish 🚀 40 | run: poetry run inv publish 41 | env: 42 | PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }} 43 | -------------------------------------------------------------------------------- /demo.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/demo.gif -------------------------------------------------------------------------------- /dspy_inspector/__init__.py: -------------------------------------------------------------------------------- 1 | from .inspector import Inspector 2 | 3 | inspect = Inspector(debug=False, tokenizer_of_model="gpt-3.5-turbo-instruct").inspect 4 | -------------------------------------------------------------------------------- /dspy_inspector/inspector_test.py: -------------------------------------------------------------------------------- 1 | _DSPY = "rocks" 2 | 3 | 4 | def test_todo() -> None: 5 | assert _DSPY == "rocks" 6 | -------------------------------------------------------------------------------- /examples/cache/library/.gitkeep: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/0503fe22e7f56285fc013a39ec487ab6/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2398231029510498, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "\"SELECT MAX(height) FROM buildings WHERE city = 'New York City' AND (name = 'Empire State Building' OR name = 'Bank of America Tower') AND (year_completed = 1931 OR year_completed = 2009)\"", "k": "2"}, "time": 1707662554.380768} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/0503fe22e7f56285fc013a39ec487ab6/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/0503fe22e7f56285fc013a39ec487ab6/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/0f421e64ab0a472d131d76b7dd188a94/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.25168371200561523, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "'SELECT actor_name FROM \"Torchwood\" WHERE series = 4 AND country = \"USA\" AND guest_star = \"Candace Kita\"'", "k": "2"}, "time": 1707662534.373352} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/0f421e64ab0a472d131d76b7dd188a94/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/0f421e64ab0a472d131d76b7dd188a94/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/10bb463abe6be93852112ab43bff5b46/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.3692779541015625, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "'What is the name of the composer who is an ancestor of American guitarist Nita Strauss?'", "k": "2"}, "time": 1707662610.577547} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/10bb463abe6be93852112ab43bff5b46/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/10bb463abe6be93852112ab43bff5b46/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/136df4c765fddd81f7a13a172178c4da/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2533090114593506, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "\"SELECT COUNT(storeys) FROM castle WHERE owner = 'David Gregory'\"", "k": "3"}, "time": 1707662517.918727} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/136df4c765fddd81f7a13a172178c4da/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/136df4c765fddd81f7a13a172178c4da/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/150075a1bf3a28b36155dbd2951db527/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.24301385879516602, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "'SELECT record_label FROM albums WHERE title = \"Everything Has Changed\"'", "k": "2"}, "time": 1707662595.73264} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/150075a1bf3a28b36155dbd2951db527/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/150075a1bf3a28b36155dbd2951db527/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/15886dee4e71f35d19c29120466b1efb/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.23685073852539062, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "\"SELECT * FROM LTWA WHERE title = 'Who Put the Bomp' OR title = 'Self' ORDER BY date_published DESC LIMIT 1;\"", "k": "2"}, "time": 1707662538.1557791} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/15886dee4e71f35d19c29120466b1efb/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/15886dee4e71f35d19c29120466b1efb/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/19874b5259d20ff4562ae6292b9148aa/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2521781921386719, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "'How many storeys are in the castle that David Gregory inherited?'", "k": "3"}, "time": 1707829929.6002629} -------------------------------------------------------------------------------- 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Company' AND name IN (SELECT name FROM actors WHERE film = 'The Shore')\"", "k": "2"}, "time": 1707662571.971894} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/b5350743d1654ca856d173de9a652f34/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/b5350743d1654ca856d173de9a652f34/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/bc6d081159bec799c476dd281ec89955/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.23899078369140625, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "\"SELECT code_name FROM engagements WHERE location = 'Eastern Front' AND war = 'Second World War' AND division = '102nd Infantry Division' AND type = 'German offensive'\"", "k": "2"}, "time": 1707662568.219111} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/bc6d081159bec799c476dd281ec89955/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/bc6d081159bec799c476dd281ec89955/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/bfcce286c7b7e74f7684a54e9b9585d8/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2549598217010498, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "'\"Code name\" AND \"German offensive\" AND \"Eastern Front\" AND \"Moscow\" AND \"Second World War\" AND \"102nd Infantry Division\"'", "k": "2"}, "time": 1707662566.763552} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/bfcce286c7b7e74f7684a54e9b9585d8/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/bfcce286c7b7e74f7684a54e9b9585d8/output.pkl -------------------------------------------------------------------------------- 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\"2011\" AND \"ICC World Twenty20\"'", "k": "2"}, "time": 1707662587.349824} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e3e75a8d474568cf52c7516a9de8d4c0/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e3e75a8d474568cf52c7516a9de8d4c0/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e55859cb822cf0da147bb86758fa723c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.24038982391357422, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "'SELECT company FROM films WHERE title = \"The Many Adventures of Winnie the Pooh\" AND production_company = \"Walt Disney Productions\" AND song_writers = \"Sherman Brothers\"'", "k": "2"}, "time": 1707662575.9938838} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e55859cb822cf0da147bb86758fa723c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e55859cb822cf0da147bb86758fa723c/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e8ce7324957e7a1fe9d353762152f1f6/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.23899507522583008, "input_args": {"url": "'http://20.102.90.50:2017/wiki17_abstracts'", "query": "'\"Founding year\" AND \"organisation\" AND \"community involvement\" AND \"benefits\"'", "k": "2"}, "time": 1707662591.936565} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e8ce7324957e7a1fe9d353762152f1f6/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2/e8ce7324957e7a1fe9d353762152f1f6/output.pkl -------------------------------------------------------------------------------- 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{"query": query, "k": k} 9 | res = requests.get(url, params=payload, timeout=10) 10 | 11 | topk = res.json()["topk"][:k] 12 | topk = [{**d, "long_text": d["text"]} for d in topk] 13 | return topk[:k] 14 | -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/01faf00bbb89b82211e13fc32fabedff/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/01faf00bbb89b82211e13fc32fabedff/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/032707610f0112f2df70e09ead671b98/output.pkl: -------------------------------------------------------------------------------- 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https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/124bedbb096b72ec524ebf0bca7e12a0/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/14f5e9f676257b25d15383068139bd5f/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2223868370056152, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Tombstone stared an actor born May 17, 1955 known as who?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662562.583041} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/14f5e9f676257b25d15383068139bd5f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/14f5e9f676257b25d15383068139bd5f/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/154eb763f29900b98aca45820c36a545/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.1293587684631348, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Having the combination of excellent foot speed and bat speed helped Eric Davis, create what kind of outfield for the Los Angeles Dodgers?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662582.5594208} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/154eb763f29900b98aca45820c36a545/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/154eb763f29900b98aca45820c36a545/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/196ca2b6c3b8a40dadd1d09c557230ee/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/196ca2b6c3b8a40dadd1d09c557230ee/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1af0bbceb177f51b9fc443a7908b9965/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1af0bbceb177f51b9fc443a7908b9965/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1b354c08ccf8fc7ea627860e2ec6e9ef/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.044274091720581, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: The Victorians - Their Story In Pictures is a documentary series written by an author born in what year?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662540.184083} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1b354c08ccf8fc7ea627860e2ec6e9ef/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1b354c08ccf8fc7ea627860e2ec6e9ef/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1ec843029facff2e09f94743315966fc/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.377021312713623, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: In what year was the club founded that played Manchester City in the 1972 FA Charity Shield\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662549.4362922} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1ec843029facff2e09f94743315966fc/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1ec843029facff2e09f94743315966fc/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1effe5bb5ce841b8ae44549091edd756/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/1effe5bb5ce841b8ae44549091edd756/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/2e04b43c553a449912eaa0659d4eb628/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/2e04b43c553a449912eaa0659d4eb628/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/2e124c3df7f530dc74cf4c2d9fba9fe4/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/2e124c3df7f530dc74cf4c2d9fba9fe4/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3169eb865161841deaa5be03c4b4178c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0523970127105713, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext:\\n[1] \u00abDiogal | Diogal Sakho (born 1970, Ngor, Dakar) is a Senegalese singer and musician.\u00bb\\n[2] \u00abMohamed Sakho | Mohamed Sakho (born 5 August 1988 in Conakry), is a Guinean footballer, who currently plays for the Moroccan side Olympique Safi.\u00bb\\n\\nQuestion: On the coast of what ocean is the birthplace of Diogal Sakho?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662606.304629} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3169eb865161841deaa5be03c4b4178c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3169eb865161841deaa5be03c4b4178c/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/31aef863874ffcd66f12789f6313bfec/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.20753812789917, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': 'Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let\\'s think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Who acted in the shot film The Shore and is also the youngest actress ever to play Ophelia in a Royal Shakespeare Company production of \"Hamlet.\" ?\\n\\nReasoning: Let\\'s think step by step in order to', 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662570.297466} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/31aef863874ffcd66f12789f6313bfec/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/31aef863874ffcd66f12789f6313bfec/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3301bf1d16caa5c0dae51906927ffab1/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3301bf1d16caa5c0dae51906927ffab1/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3b4147e49b145726e84845e07726a11e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3b4147e49b145726e84845e07726a11e/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3efbd7a654ee5a3f0a685821720206bb/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.9121050834655762, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: At My Window was released by which American singer-songwriter?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662528.617707} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3efbd7a654ee5a3f0a685821720206bb/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/3efbd7a654ee5a3f0a685821720206bb/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/4104cb5e72dbf1358aa7cbbc5fe12887/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/4104cb5e72dbf1358aa7cbbc5fe12887/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/462d28bdec419c965fc7e20e6dd1472a/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/462d28bdec419c965fc7e20e6dd1472a/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/47ce8df41da9dfc939b37d5fe720ab8b/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.874575138092041, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: The Organisation that allows a community to influence their operation or use and to enjoy the benefits arisingwas founded in what year?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662591.6958232} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/47ce8df41da9dfc939b37d5fe720ab8b/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/47ce8df41da9dfc939b37d5fe720ab8b/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/4d5bc3ceea158275b5dadf6f9bbd1d18/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/4d5bc3ceea158275b5dadf6f9bbd1d18/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/4ff1edacbec78802938644c81a2ea916/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/4ff1edacbec78802938644c81a2ea916/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/505d598c019890aefc25c3b66ef9ab63/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0477678775787354, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: On the coast of what ocean is the birthplace of Diogal Sakho?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662605.0107641} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/505d598c019890aefc25c3b66ef9ab63/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/505d598c019890aefc25c3b66ef9ab63/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/506461e879e1fbdb0ac5168350aaf893/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/506461e879e1fbdb0ac5168350aaf893/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/54286ae0779a58850e077b56b854d1a3/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.091052770614624, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: This American guitarist best known for her work with the Iron Maidens is an ancestor of a composer who was known as what?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662608.720743} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/54286ae0779a58850e077b56b854d1a3/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/54286ae0779a58850e077b56b854d1a3/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/58b22b693b0b0291ddefbe03a4fd6307/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2248570919036865, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': 'Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let\\'s think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext:\\n[1] \u00abAngela Lanza (actress) | Angela Lanza is a Mexican-American actress. In 1995 she starred in the movie \"The Perez Family\" as the character Flavia.\u00bb\\n[2] \u00abAmerica Ferrera | America Georgine Ferrera (born April 18, 1984) is an American actress. Born in Los Angeles, California, to Honduran parents, Ferrera developed an interest in acting at a young age performing in several stage productions at her school. She made her feature film debut in 2002 with the comedy drama \"Real Women Have Curves\", winning praise for her performance. Ferrera is the recipient of numerous accolades including an Emmy Award, a Golden Globe Award, and a Screen Actors Guild Award among others.\u00bb\\n\\nQuestion: Which American actress who made their film debut in the 1995 teen drama \"Kids\" was the co-founder of Voto Latino?\\n\\nReasoning: Let\\'s think step by step in order to', 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662560.178265} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/58b22b693b0b0291ddefbe03a4fd6307/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/58b22b693b0b0291ddefbe03a4fd6307/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/5a4f2267c09c6053bb89e7dc7a47920e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.394564151763916, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which magazine has published articles by Scott Shaw, Tae Kwon Do Times or Southwest Art?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662544.579365} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/5a4f2267c09c6053bb89e7dc7a47920e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/5a4f2267c09c6053bb89e7dc7a47920e/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/5ac360906237a71b5d5b8b27b5d7563f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/5ac360906237a71b5d5b8b27b5d7563f/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/68430b144cbc9da19def8a7e492e381c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/68430b144cbc9da19def8a7e492e381c/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/69aa9a35e5f8d762a88dcb18e6d1cb3d/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/69aa9a35e5f8d762a88dcb18e6d1cb3d/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/6c316b20d0b1086b47288e0bd245a5d8/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2690658569335938, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': 'Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let\\'s think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which American actress who made their film debut in the 1995 teen drama \"Kids\" was the co-founder of Voto Latino?\\n\\nReasoning: Let\\'s think step by step in order to', 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662558.7146869} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/6c316b20d0b1086b47288e0bd245a5d8/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/6c316b20d0b1086b47288e0bd245a5d8/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/70f901f1d1e1f953856298c77113f652/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/70f901f1d1e1f953856298c77113f652/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/714b3da539a19e089e7180fc59fa989f/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.5011188983917236, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext:\\n[1] \u00abThe Victorians | The Victorians - Their Story In Pictures is a 2009 British documentary series which focuses on Victorian art and culture. The four-part series is written and presented by Jeremy Paxman and debuted on BBC One at 9:00pm on Sunday 15 February 2009.\u00bb\\n[2] \u00abVictorian (comics) | The Victorian is a 25-issue comic book series published by Penny-Farthing Press and starting in 1999. The brainchild of creator Trainor Houghton, the series included a number of notable script writers and illustrators, including Len Wein, Glen Orbik and Howard Chaykin.\u00bb\\n\\nQuestion: The Victorians - Their Story In Pictures is a documentary series written by an author born in what year?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662541.92522} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/714b3da539a19e089e7180fc59fa989f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/714b3da539a19e089e7180fc59fa989f/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/72fb57fe5122c2e41e95dfd1b943e033/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/72fb57fe5122c2e41e95dfd1b943e033/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/7ef9faeb619e1741c3c39551a8977160/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.87577223777771, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: When was the first FIFA World Cup held?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662521.172099} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/7ef9faeb619e1741c3c39551a8977160/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/7ef9faeb619e1741c3c39551a8977160/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/7f88806a905d18b7a346c119424f6bcb/output.pkl: 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-------------------------------------------------------------------------------- 1 | {"duration": 0.8047280311584473, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: How many storeys are in the castle that David Gregory inherited?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662517.663003} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9ab0e318cd63e686851710288bcf4b73/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9ab0e318cd63e686851710288bcf4b73/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9b0bb6343b6035af6bfe817726bb8c48/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9b0bb6343b6035af6bfe817726bb8c48/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9ee58dbf302e24cc225e19225efb15da/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2479910850524902, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: What is the code name for the German offensive that started this Second World War engagement on the Eastern Front (a few hundred kilometers from Moscow) between Soviet and German forces, which included 102nd Infantry Division?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662566.507543} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9ee58dbf302e24cc225e19225efb15da/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9ee58dbf302e24cc225e19225efb15da/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9f1b8bd1208383c4c04f246fcaafff3c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/9f1b8bd1208383c4c04f246fcaafff3c/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/a02fa680f09cbc717784454df7bd1723/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/a02fa680f09cbc717784454df7bd1723/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/aa7e53871f3d671c5e5c5a2f82308031/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/aa7e53871f3d671c5e5c5a2f82308031/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ac9322b4cfb18e0607af255939823c07/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ac9322b4cfb18e0607af255939823c07/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ad053727f98473ce09addeb62317bddd/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.076982021331787, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which of these publications was most recently published, Who Put the Bomp or Self?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662536.3979342} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ad053727f98473ce09addeb62317bddd/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ad053727f98473ce09addeb62317bddd/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/b1b1dae2f74d963c3a4701265b67c095/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/b1b1dae2f74d963c3a4701265b67c095/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/b407e830546a7dbb2f8f4ba4f1368b96/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0146512985229492, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Samantha Cristoforetti and Mark Shuttleworth are both best known for being first in their field to go where?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662577.8310862} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/b407e830546a7dbb2f8f4ba4f1368b96/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/b407e830546a7dbb2f8f4ba4f1368b96/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/bbcdefd06fb9b8f4ea5cdfccdbceaaaa/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/bbcdefd06fb9b8f4ea5cdfccdbceaaaa/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/bf1c3bcc29eb6f0e4a4bfa068e55eb75/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/bf1c3bcc29eb6f0e4a4bfa068e55eb75/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/c5a2f9de9c3276bf273c5e02e30067d4/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/c5a2f9de9c3276bf273c5e02e30067d4/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/c87e3a24c30c43faf1a8496bc3b7591f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/c87e3a24c30c43faf1a8496bc3b7591f/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/c934c66f15e7d66d57006ffb8837debe/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/c934c66f15e7d66d57006ffb8837debe/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cbdf10cda922ee774da5eab9b7d2f53a/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.413172960281372, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which is taller, the Empire State Building or the Bank of America Tower?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662554.1395562} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cbdf10cda922ee774da5eab9b7d2f53a/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cbdf10cda922ee774da5eab9b7d2f53a/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cd7594497490de62abf4740cd7dbba6c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2604198455810547, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which company distributed this 1977 American animated film produced by Walt Disney Productions for which Sherman Brothers wrote songs?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662574.201563} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cd7594497490de62abf4740cd7dbba6c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cd7594497490de62abf4740cd7dbba6c/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cfb8900cacdd87fdd5b5ef72c8b4f79e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.495887041091919, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which Pakistani cricket umpire who won 3 consecutive ICC umpire of the year awards in 2009, 2010, and 2011 will be in the ICC World Twenty20?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662587.109466} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cfb8900cacdd87fdd5b5ef72c8b4f79e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/cfb8900cacdd87fdd5b5ef72c8b4f79e/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/d4dca77a5e707ec0635131ca336402b2/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/d4dca77a5e707ec0635131ca336402b2/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/d6cc2851a319e224186b34c95b53b672/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/d6cc2851a319e224186b34c95b53b672/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/db61563921eb93d67c0effdb4f84b5bb/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/db61563921eb93d67c0effdb4f84b5bb/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/dba4a18403110f9294328a257f3e105c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/dba4a18403110f9294328a257f3e105c/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/e49416144e4080cdf8e25b5599d2aaa1/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.6435399055480957, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Who is older, Aleksandr Danilovich Aleksandrov or Anatoly Fomenko?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662600.3084512} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/e49416144e4080cdf8e25b5599d2aaa1/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/e49416144e4080cdf8e25b5599d2aaa1/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/e4a1256b2ccc72a5d2440efc47040839/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/e4a1256b2ccc72a5d2440efc47040839/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/e809486a4066763ae1b2c14647f89a2b/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/e809486a4066763ae1b2c14647f89a2b/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ea45009babccdc5410f59ab663a84a42/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.7462220191955566, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': 'Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let\\'s think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: \"Everything Has Changed\" is a song from an album released under which record label ?\\n\\nReasoning: Let\\'s think step by step in order to', 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662595.487846} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ea45009babccdc5410f59ab663a84a42/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ea45009babccdc5410f59ab663a84a42/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ead0dc47678b9082407084899896bda0/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/ead0dc47678b9082407084899896bda0/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f008b3e20265fffdeacbc7141d8ec266/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f008b3e20265fffdeacbc7141d8ec266/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f01b9eee254eeef43d2439234455368e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f01b9eee254eeef43d2439234455368e/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f10e6d26308b20d8ea094f41bf159ffc/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f10e6d26308b20d8ea094f41bf159ffc/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f43b216bd056be971141b5327d0f922a/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.9966962337493896, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: which American actor was Candace Kita guest starred with\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662532.308046} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f43b216bd056be971141b5327d0f922a/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/f43b216bd056be971141b5327d0f922a/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/fbb36fc72e4165b23d79b55e76822f24/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0142650604248047, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Who conducts the draft in which Marc-Andre Fleury was drafted to the Vegas Golden Knights for the 2017-18 season?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662525.07003} -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/fbb36fc72e4165b23d79b55e76822f24/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/fbb36fc72e4165b23d79b55e76822f24/output.pkl -------------------------------------------------------------------------------- /examples/cache/library/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2/func_code.py: -------------------------------------------------------------------------------- 1 | # first line: 246 2 | @CacheMemory.cache 3 | def v1_cached_gpt3_request_v2(**kwargs): 4 | return openai.completions.create(**kwargs) 5 | -------------------------------------------------------------------------------- /examples/cache/notebook/.gitkeep: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/061c38e94fbdbd5428c4cad492dd5b50/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.25623512268066406, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', '\"Tombstone\" AND \"actor\" AND \"born May 17, 1955\"', 2]"}, "time": 1707662562.840269} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/061c38e94fbdbd5428c4cad492dd5b50/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/061c38e94fbdbd5428c4cad492dd5b50/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/14f20d94a919263eb1a355217fe4caee/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.23873591423034668, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT magazine FROM articles WHERE author = 'Scott Shaw' AND (magazine = 'Tae Kwon Do Times' OR magazine = 'Southwest Art')\", 2]"}, "time": 1707662544.8190389} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/14f20d94a919263eb1a355217fe4caee/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/14f20d94a919263eb1a355217fe4caee/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/167f76884fd1b31e708635467af6562c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2529900074005127, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT birthplace FROM musicians WHERE nationality = 'Senegal' AND name = 'Diogal Sakho'\", 2]"}, "time": 1707662606.559753} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/167f76884fd1b31e708635467af6562c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/167f76884fd1b31e708635467af6562c/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/176ce00ab66db26e47ed873dbdeeb34c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2539939880371094, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', '\"FIFA World Cup\" \"first held\"', 3]"}, "time": 1707662521.428032} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/176ce00ab66db26e47ed873dbdeeb34c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/176ce00ab66db26e47ed873dbdeeb34c/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/1b83a889cdb8733d366684d408f22e89/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2424330711364746, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 'When was the first FIFA World Cup held?', 3]"}, "time": 1707830039.966059} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/1b83a889cdb8733d366684d408f22e89/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/1b83a889cdb8733d366684d408f22e89/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/24733ff0d9d0ff8a4d38a56f3d4ecfa5/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.23912811279296875, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT * FROM [2017 NHL Expansion Draft] WHERE [Player] = 'Marc-Andre Fleury' AND [Team] = 'Vegas Golden Knights' AND [Year] = '2017' AND [Draft Conducted By] = 'National Hockey League'\", 3]"}, "time": 1707662526.839423} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/24733ff0d9d0ff8a4d38a56f3d4ecfa5/output.pkl: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/26ce8bd988b42b89d7ba2959fcd5b05d/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/27eb9c9379e52d69ae49a0ed494947d5/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.25043201446533203, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 'Who conducted the draft for the Vegas Golden Knights in the 2017-18 season?', 3]"}, "time": 1707662525.321586} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/27eb9c9379e52d69ae49a0ed494947d5/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/27eb9c9379e52d69ae49a0ed494947d5/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/28e4e93db34375f437f93620675d7c57/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2541799545288086, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT COUNT(storeys) FROM castle WHERE owner = 'David Gregory'\", 3]"}, "time": 1707662517.9192152} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/28e4e93db34375f437f93620675d7c57/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/28e4e93db34375f437f93620675d7c57/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/2f5dbc93eb7e6a2977623720a4c3bedd/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.24268102645874023, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 'Who conducts the draft in which Marc-Andre Fleury was drafted to the Vegas Golden Knights for the 2017-18 season?', 3]"}, "time": 1707830305.951803} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/2f5dbc93eb7e6a2977623720a4c3bedd/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/2f5dbc93eb7e6a2977623720a4c3bedd/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3a12c067f342a74e1f3c81d6ef080529/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2574491500854492, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', '\"Code name\" AND \"German offensive\" AND \"Eastern Front\" AND \"Moscow\" AND \"Second World War\" AND \"102nd Infantry Division\"', 2]"}, "time": 1707662566.7659678} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3a12c067f342a74e1f3c81d6ef080529/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3a12c067f342a74e1f3c81d6ef080529/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3b417d95c2fa9cb89ea2cd909948eb55/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.25414299964904785, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT year FROM FIFA_World_Cup WHERE location = 'Brazil' AND year < 1950 ORDER BY year DESC LIMIT 1;\", 3]"}, "time": 1707662523.421651} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3b417d95c2fa9cb89ea2cd909948eb55/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3b417d95c2fa9cb89ea2cd909948eb55/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3de2eff7774f913ff77a30ba4ca9ed0c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.23709583282470703, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 'SELECT name FROM actresses WHERE film_debut = 1995 AND organization = \"Voto Latino\" AND nationality = \"American\"', 2]"}, "time": 1707662558.952833} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3de2eff7774f913ff77a30ba4ca9ed0c/output.pkl: -------------------------------------------------------------------------------- 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/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3ed936c14ac13f739141b4552b2438a5/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/3ed936c14ac13f739141b4552b2438a5/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/41618a2988ce467fa441c88a1ddffc6e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.24107027053833008, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 'SELECT company FROM films WHERE title = \"The Many Adventures of Winnie the Pooh\" AND production_company = \"Walt Disney Productions\" AND song_writers = \"Sherman Brothers\"', 2]"}, "time": 1707662575.9944801} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/41618a2988ce467fa441c88a1ddffc6e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/41618a2988ce467fa441c88a1ddffc6e/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4295e7ef2e7423d201aaa49faed6228e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.24114322662353516, "input_args": {"**": "{}", "*": 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-------------------------------------------------------------------------------- 1 | {"duration": 0.2521531581878662, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT magazine FROM publications WHERE author = 'Scott Shaw' AND (magazine = 'Tae Kwon Do Times' OR magazine = 'Southwest Art')\", 2]"}, "time": 1707662546.7659662} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/49160d8accfb20cfdc5f3affe32a7427/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/49160d8accfb20cfdc5f3affe32a7427/output.pkl -------------------------------------------------------------------------------- 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/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4d2df44dfa688d2269c6d90b4bc5f9e8/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4d2df44dfa688d2269c6d90b4bc5f9e8/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4e0f1a685e8829819def2137d8fff43b/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.3720283508300781, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT outfield_type FROM Dodgers WHERE player_name = 'Eric Davis' AND foot_speed = 'excellent' AND bat_speed = 'excellent'\", 2]"}, "time": 1707662584.371864} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4e0f1a685e8829819def2137d8fff43b/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4e0f1a685e8829819def2137d8fff43b/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4eae4626048f297c1fc4c6688cfb5b4e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2534782886505127, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 'How many storeys are in the castle that David Gregory inherited?', 3]"}, "time": 1707829929.6009312} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4eae4626048f297c1fc4c6688cfb5b4e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4eae4626048f297c1fc4c6688cfb5b4e/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/4f72346c8761ea4b4fda3a00d48c1f1e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.23972797393798828, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 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/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/e8fbbc645c479ba78b95245797e5c754/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/e8fbbc645c479ba78b95245797e5c754/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/e9679d0ba88b85aa2d083a80286529d9/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.24167799949645996, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', \"SELECT artist FROM albums WHERE title = 'At My Window' AND genre = 'Folk/Country' AND year = 1987 AND studio_album = 'Yes'\", 2]"}, "time": 1707662530.256586} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/e9679d0ba88b85aa2d083a80286529d9/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/e9679d0ba88b85aa2d083a80286529d9/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/f250e7c259c6c8e7ec998669b7e16890/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2741279602050781, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', 'SELECT (YEAR(Aleksandr Danilovich Aleksandrov) - YEAR(Anatoly Fomenko)) AS age_difference FROM Russian_Individuals WHERE Aleksandr Danilovich Aleksandrov IS NOT NULL AND Anatoly Fomenko IS NOT NULL', 2]"}, "time": 1707662602.411552} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/f250e7c259c6c8e7ec998669b7e16890/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/f250e7c259c6c8e7ec998669b7e16890/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/f923e569aad8c7266d686e6dd4929258/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.2550640106201172, "input_args": {"**": "{}", "*": "['http://20.102.90.50:2017/wiki17_abstracts', '\"The Shore\" AND \"Ophelia\" AND \"Royal Shakespeare Company\" AND \"actress\"', 2]"}, "time": 1707662570.553578} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/f923e569aad8c7266d686e6dd4929258/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/f923e569aad8c7266d686e6dd4929258/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/colbertv2/colbertv2_get_request_v2_wrapped/func_code.py: -------------------------------------------------------------------------------- 1 | # first line: 52 2 | @functools.lru_cache(maxsize=None) 3 | @NotebookCacheMemory.cache 4 | def colbertv2_get_request_v2_wrapped(*args, **kwargs): 5 | return colbertv2_get_request_v2(*args, **kwargs) 6 | -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/01faf00bbb89b82211e13fc32fabedff/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/01faf00bbb89b82211e13fc32fabedff/output.pkl -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | {"duration": 1.2230770587921143, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Tombstone stared an actor born May 17, 1955 known as who?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662562.583641} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/14f5e9f676257b25d15383068139bd5f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/14f5e9f676257b25d15383068139bd5f/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/154eb763f29900b98aca45820c36a545/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.1302127838134766, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Having the combination of excellent foot speed and bat speed helped Eric Davis, create what kind of outfield for the Los Angeles Dodgers?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662582.560041} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/154eb763f29900b98aca45820c36a545/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/154eb763f29900b98aca45820c36a545/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/196ca2b6c3b8a40dadd1d09c557230ee/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/196ca2b6c3b8a40dadd1d09c557230ee/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1af0bbceb177f51b9fc443a7908b9965/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1af0bbceb177f51b9fc443a7908b9965/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1b354c08ccf8fc7ea627860e2ec6e9ef/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.044952154159546, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: The Victorians - Their Story In Pictures is a documentary series written by an author born in what year?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662540.184673} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1b354c08ccf8fc7ea627860e2ec6e9ef/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1b354c08ccf8fc7ea627860e2ec6e9ef/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1ec843029facff2e09f94743315966fc/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.3777942657470703, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: In what year was the club founded that played Manchester City in the 1972 FA Charity Shield\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662549.436803} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1ec843029facff2e09f94743315966fc/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1ec843029facff2e09f94743315966fc/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1effe5bb5ce841b8ae44549091edd756/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/1effe5bb5ce841b8ae44549091edd756/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/2e04b43c553a449912eaa0659d4eb628/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/2e04b43c553a449912eaa0659d4eb628/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/2e124c3df7f530dc74cf4c2d9fba9fe4/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/2e124c3df7f530dc74cf4c2d9fba9fe4/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3169eb865161841deaa5be03c4b4178c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0538768768310547, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext:\\n[1] \u00abDiogal | Diogal Sakho (born 1970, Ngor, Dakar) is a Senegalese singer and musician.\u00bb\\n[2] \u00abMohamed Sakho | Mohamed Sakho (born 5 August 1988 in Conakry), is a Guinean footballer, who currently plays for the Moroccan side Olympique Safi.\u00bb\\n\\nQuestion: On the coast of what ocean is the birthplace of Diogal Sakho?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662606.3060029} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3169eb865161841deaa5be03c4b4178c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3169eb865161841deaa5be03c4b4178c/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/31aef863874ffcd66f12789f6313bfec/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2083508968353271, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': 'Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let\\'s think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Who acted in the shot film The Shore and is also the youngest actress ever to play Ophelia in a Royal Shakespeare Company production of \"Hamlet.\" ?\\n\\nReasoning: Let\\'s think step by step in order to', 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662570.298142} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/31aef863874ffcd66f12789f6313bfec/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/31aef863874ffcd66f12789f6313bfec/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3301bf1d16caa5c0dae51906927ffab1/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3301bf1d16caa5c0dae51906927ffab1/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3b4147e49b145726e84845e07726a11e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3b4147e49b145726e84845e07726a11e/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3efbd7a654ee5a3f0a685821720206bb/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.9132909774780273, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: At My Window was released by which American singer-songwriter?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662528.6186502} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3efbd7a654ee5a3f0a685821720206bb/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/3efbd7a654ee5a3f0a685821720206bb/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/4104cb5e72dbf1358aa7cbbc5fe12887/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/4104cb5e72dbf1358aa7cbbc5fe12887/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/462d28bdec419c965fc7e20e6dd1472a/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/462d28bdec419c965fc7e20e6dd1472a/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/47ce8df41da9dfc939b37d5fe720ab8b/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.8756909370422363, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: The Organisation that allows a community to influence their operation or use and to enjoy the benefits arisingwas founded in what year?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662591.696752} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/47ce8df41da9dfc939b37d5fe720ab8b/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/47ce8df41da9dfc939b37d5fe720ab8b/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/4d5bc3ceea158275b5dadf6f9bbd1d18/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/4d5bc3ceea158275b5dadf6f9bbd1d18/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/4ff1edacbec78802938644c81a2ea916/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/4ff1edacbec78802938644c81a2ea916/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/505d598c019890aefc25c3b66ef9ab63/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0487139225006104, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: On the coast of what ocean is the birthplace of Diogal Sakho?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662605.011364} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/505d598c019890aefc25c3b66ef9ab63/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/505d598c019890aefc25c3b66ef9ab63/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/506461e879e1fbdb0ac5168350aaf893/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/506461e879e1fbdb0ac5168350aaf893/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/54286ae0779a58850e077b56b854d1a3/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0917069911956787, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: This American guitarist best known for her work with the Iron Maidens is an ancestor of a composer who was known as what?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662608.721293} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/54286ae0779a58850e077b56b854d1a3/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/54286ae0779a58850e077b56b854d1a3/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/58b22b693b0b0291ddefbe03a4fd6307/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/58b22b693b0b0291ddefbe03a4fd6307/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/5a4f2267c09c6053bb89e7dc7a47920e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.3952479362487793, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which magazine has published articles by Scott Shaw, Tae Kwon Do Times or Southwest Art?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662544.579933} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/5a4f2267c09c6053bb89e7dc7a47920e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/5a4f2267c09c6053bb89e7dc7a47920e/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/5ac360906237a71b5d5b8b27b5d7563f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/5ac360906237a71b5d5b8b27b5d7563f/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/68430b144cbc9da19def8a7e492e381c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/68430b144cbc9da19def8a7e492e381c/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/69aa9a35e5f8d762a88dcb18e6d1cb3d/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/69aa9a35e5f8d762a88dcb18e6d1cb3d/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/6c316b20d0b1086b47288e0bd245a5d8/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2698638439178467, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': 'Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let\\'s think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which American actress who made their film debut in the 1995 teen drama \"Kids\" was the co-founder of Voto Latino?\\n\\nReasoning: Let\\'s think step by step in order to', 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662558.715339} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/6c316b20d0b1086b47288e0bd245a5d8/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/6c316b20d0b1086b47288e0bd245a5d8/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/70f901f1d1e1f953856298c77113f652/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/70f901f1d1e1f953856298c77113f652/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/714b3da539a19e089e7180fc59fa989f/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.5018258094787598, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext:\\n[1] \u00abThe Victorians | The Victorians - Their Story In Pictures is a 2009 British documentary series which focuses on Victorian art and culture. The four-part series is written and presented by Jeremy Paxman and debuted on BBC One at 9:00pm on Sunday 15 February 2009.\u00bb\\n[2] \u00abVictorian (comics) | The Victorian is a 25-issue comic book series published by Penny-Farthing Press and starting in 1999. The brainchild of creator Trainor Houghton, the series included a number of notable script writers and illustrators, including Len Wein, Glen Orbik and Howard Chaykin.\u00bb\\n\\nQuestion: The Victorians - Their Story In Pictures is a documentary series written by an author born in what year?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662541.92583} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/714b3da539a19e089e7180fc59fa989f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/714b3da539a19e089e7180fc59fa989f/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/72fb57fe5122c2e41e95dfd1b943e033/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/72fb57fe5122c2e41e95dfd1b943e033/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/7ef9faeb619e1741c3c39551a8977160/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.8769328594207764, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: When was the first FIFA World Cup held?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662521.173128} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/7ef9faeb619e1741c3c39551a8977160/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/7ef9faeb619e1741c3c39551a8977160/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/7f88806a905d18b7a346c119424f6bcb/output.pkl: 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step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: How many storeys are in the castle that David Gregory inherited?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662517.663706} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9ab0e318cd63e686851710288bcf4b73/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9ab0e318cd63e686851710288bcf4b73/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9b0bb6343b6035af6bfe817726bb8c48/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9b0bb6343b6035af6bfe817726bb8c48/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9ee58dbf302e24cc225e19225efb15da/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2488341331481934, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: What is the code name for the German offensive that started this Second World War engagement on the Eastern Front (a few hundred kilometers from Moscow) between Soviet and German forces, which included 102nd Infantry Division?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662566.5081532} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9ee58dbf302e24cc225e19225efb15da/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9ee58dbf302e24cc225e19225efb15da/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9f1b8bd1208383c4c04f246fcaafff3c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/9f1b8bd1208383c4c04f246fcaafff3c/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/a02fa680f09cbc717784454df7bd1723/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/a02fa680f09cbc717784454df7bd1723/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/aa7e53871f3d671c5e5c5a2f82308031/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/aa7e53871f3d671c5e5c5a2f82308031/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ac9322b4cfb18e0607af255939823c07/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ac9322b4cfb18e0607af255939823c07/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ad053727f98473ce09addeb62317bddd/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0778388977050781, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which of these publications was most recently published, Who Put the Bomp or Self?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662536.3986619} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ad053727f98473ce09addeb62317bddd/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ad053727f98473ce09addeb62317bddd/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/b1b1dae2f74d963c3a4701265b67c095/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/b1b1dae2f74d963c3a4701265b67c095/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/b407e830546a7dbb2f8f4ba4f1368b96/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0156590938568115, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Samantha Cristoforetti and Mark Shuttleworth are both best known for being first in their field to go where?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662577.831955} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/b407e830546a7dbb2f8f4ba4f1368b96/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/b407e830546a7dbb2f8f4ba4f1368b96/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/bbcdefd06fb9b8f4ea5cdfccdbceaaaa/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/bbcdefd06fb9b8f4ea5cdfccdbceaaaa/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/bf1c3bcc29eb6f0e4a4bfa068e55eb75/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/bf1c3bcc29eb6f0e4a4bfa068e55eb75/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/c5a2f9de9c3276bf273c5e02e30067d4/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/c5a2f9de9c3276bf273c5e02e30067d4/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/c87e3a24c30c43faf1a8496bc3b7591f/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/c87e3a24c30c43faf1a8496bc3b7591f/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/c934c66f15e7d66d57006ffb8837debe/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/c934c66f15e7d66d57006ffb8837debe/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cbdf10cda922ee774da5eab9b7d2f53a/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.4141292572021484, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which is taller, the Empire State Building or the Bank of America Tower?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662554.140366} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cbdf10cda922ee774da5eab9b7d2f53a/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cbdf10cda922ee774da5eab9b7d2f53a/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cd7594497490de62abf4740cd7dbba6c/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.2611782550811768, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which company distributed this 1977 American animated film produced by Walt Disney Productions for which Sherman Brothers wrote songs?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662574.202229} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cd7594497490de62abf4740cd7dbba6c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cd7594497490de62abf4740cd7dbba6c/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cfb8900cacdd87fdd5b5ef72c8b4f79e/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.4968669414520264, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Which Pakistani cricket umpire who won 3 consecutive ICC umpire of the year awards in 2009, 2010, and 2011 will be in the ICC World Twenty20?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662587.110231} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cfb8900cacdd87fdd5b5ef72c8b4f79e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/cfb8900cacdd87fdd5b5ef72c8b4f79e/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/d4dca77a5e707ec0635131ca336402b2/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/d4dca77a5e707ec0635131ca336402b2/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/d6cc2851a319e224186b34c95b53b672/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/d6cc2851a319e224186b34c95b53b672/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/db61563921eb93d67c0effdb4f84b5bb/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/db61563921eb93d67c0effdb4f84b5bb/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/dba4a18403110f9294328a257f3e105c/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/dba4a18403110f9294328a257f3e105c/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/e49416144e4080cdf8e25b5599d2aaa1/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.645484209060669, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Who is older, Aleksandr Danilovich Aleksandrov or Anatoly Fomenko?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662600.310264} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/e49416144e4080cdf8e25b5599d2aaa1/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/e49416144e4080cdf8e25b5599d2aaa1/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/e4a1256b2ccc72a5d2440efc47040839/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/e4a1256b2ccc72a5d2440efc47040839/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/e809486a4066763ae1b2c14647f89a2b/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/e809486a4066763ae1b2c14647f89a2b/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ea45009babccdc5410f59ab663a84a42/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.7473320960998535, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': 'Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let\\'s think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: \"Everything Has Changed\" is a song from an album released under which record label ?\\n\\nReasoning: Let\\'s think step by step in order to', 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662595.488853} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ea45009babccdc5410f59ab663a84a42/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ea45009babccdc5410f59ab663a84a42/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ead0dc47678b9082407084899896bda0/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/ead0dc47678b9082407084899896bda0/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f008b3e20265fffdeacbc7141d8ec266/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f008b3e20265fffdeacbc7141d8ec266/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f01b9eee254eeef43d2439234455368e/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f01b9eee254eeef43d2439234455368e/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f10e6d26308b20d8ea094f41bf159ffc/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f10e6d26308b20d8ea094f41bf159ffc/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f43b216bd056be971141b5327d0f922a/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 0.9975290298461914, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: which American actor was Candace Kita guest starred with\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662532.308693} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f43b216bd056be971141b5327d0f922a/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/f43b216bd056be971141b5327d0f922a/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/fbb36fc72e4165b23d79b55e76822f24/metadata.json: -------------------------------------------------------------------------------- 1 | {"duration": 1.0150601863861084, "input_args": {"**": "{'frequency_penalty': 0, 'max_tokens': 300, 'model': 'gpt-3.5-turbo-instruct', 'n': 1, 'presence_penalty': 0, 'prompt': \"Write a simple search query that will help answer a complex question.\\n\\n---\\n\\nFollow the following format.\\n\\nContext: may contain relevant facts\\n\\nQuestion: ${question}\\n\\nReasoning: Let's think step by step in order to ${produce the query}. We ...\\n\\nQuery: ${query}\\n\\n---\\n\\nContext: N/A\\n\\nQuestion: Who conducts the draft in which Marc-Andre Fleury was drafted to the Vegas Golden Knights for the 2017-18 season?\\n\\nReasoning: Let's think step by step in order to\", 'temperature': 0.0, 'top_p': 1}"}, "time": 1707662525.0705972} -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/fbb36fc72e4165b23d79b55e76822f24/output.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/neoxelox/dspy-inspector/1ec6a896356c20438b30422c60172532159f7b55/examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/fbb36fc72e4165b23d79b55e76822f24/output.pkl -------------------------------------------------------------------------------- /examples/cache/notebook/joblib/dsp/modules/gpt3/v1_cached_gpt3_request_v2_wrapped/func_code.py: -------------------------------------------------------------------------------- 1 | # first line: 250 2 | @functools.lru_cache(maxsize=None if cache_turn_on else 0) 3 | @NotebookCacheMemory.cache 4 | def v1_cached_gpt3_request_v2_wrapped(**kwargs): 5 | return v1_cached_gpt3_request_v2(**kwargs) 6 | -------------------------------------------------------------------------------- /scripts/__init__.py: -------------------------------------------------------------------------------- 1 | import ssl 2 | 3 | import superinvoke 4 | from superinvoke.constants import Platforms 5 | 6 | from . import tasks 7 | from .envs import Envs 8 | from .tools import Tools 9 | 10 | # Temporal fix very annoying error: certificate verify failed: unable to get local issuer certificate 11 | ssl._create_default_https_context = ssl._create_unverified_context 12 | 13 | root = superinvoke.init(tools=Tools, envs=Envs) 14 | 15 | root.configure({ 16 | "run": { 17 | "pty": ( 18 | Platforms.CURRENT != Platforms.WINDOWS 19 | and Envs.Current != Envs.Ci 20 | ), 21 | }, 22 | }) 23 | 24 | 25 | root.add_task(tasks.lint) 26 | root.add_task(tasks.format) 27 | root.add_task(tasks.test) 28 | root.add_task(tasks.clean) 29 | root.add_task(tasks.build) 30 | root.add_task(tasks.publish) 31 | -------------------------------------------------------------------------------- /scripts/envs.py: -------------------------------------------------------------------------------- 1 | import superinvoke 2 | 3 | from .tags import Tags 4 | 5 | 6 | class Envs(superinvoke.Envs): 7 | Default = lambda cls: cls.Dev 8 | 9 | Dev = superinvoke.Env( 10 | name="dev", 11 | tags=[*Tags.As("dev*")], 12 | ) 13 | 14 | Ci = superinvoke.Env( 15 | name="ci", 16 | tags=[*Tags.As("ci*")], 17 | ) 18 | 19 | Prod = superinvoke.Env( 20 | name="prod", 21 | tags=[*Tags.As("prod*")], 22 | ) 23 | -------------------------------------------------------------------------------- /scripts/tags.py: -------------------------------------------------------------------------------- 1 | import superinvoke 2 | 3 | 4 | class Tags(superinvoke.Tags): 5 | DEV = "dev" 6 | CI_INT = "ci-int" 7 | CI_DEP = "ci-dep" 8 | PROD = "prod" 9 | -------------------------------------------------------------------------------- /scripts/tools.py: -------------------------------------------------------------------------------- 1 | import superinvoke 2 | 3 | from .tags import Tags 4 | 5 | 6 | class Tools(superinvoke.Tools): 7 | Git = superinvoke.Tool( 8 | name="git", 9 | version=">=2.34.1", 10 | tags=[*Tags.As("*")], 11 | path="git", 12 | ) 13 | 14 | Python = superinvoke.Tool( 15 | name="python", 16 | version=">=3.11", 17 | tags=[*Tags.As("*")], 18 | path="python", 19 | ) 20 | 21 | Poetry = superinvoke.Tool( 22 | name="poetry", 23 | version=">=1.7.1", 24 | tags=[*Tags.As("*")], 25 | path="poetry", 26 | ) 27 | --------------------------------------------------------------------------------