From f55586ea2399d53bda83976c134e404a5536eb4f Mon Sep 17 00:00:00 2001 From: William FH <13333726+hinthornw@users.noreply.github.com> Date: Wed, 2 Oct 2024 20:05:49 -0700 Subject: [PATCH] [Docs] Drop memory doc (#1986) --------- Co-authored-by: vbarda --- ...d-bf69-40f6-8fc8-c04607443aa5.msgpack.zlib | 1 - ...d-962f-48ed-9c7c-172fae9cadda.msgpack.zlib | 1 - ...5-34e8-4f42-90b0-60d2dd747203.msgpack.zlib | 1 - ...f-81b2-4994-8754-7f07b8b8fc7a.msgpack.zlib | 1 - ...1-ff7e-4c86-b5dc-153bc4aac692.msgpack.zlib | 1 - ...2-5cbb-4273-b9b8-80810b55ff46.msgpack.zlib | 1 - ...9-c69d-4839-990b-5edf004dd8b7.msgpack.zlib | 1 - ...3-3d5b-4206-888b-fef628241b14.msgpack.zlib | 1 - ...8-f280-49c1-871f-b02b36a9904e.msgpack.zlib | 1 - ...e-76db-47ea-81e1-2582fcd033c9.msgpack.zlib | 1 - docs/docs/tutorials/index.md | 4 - .../memory/long_term_memory_agent.ipynb | 1154 ----------------- docs/mkdocs.yml | 2 - 13 files changed, 1170 deletions(-) delete mode 100644 docs/cassettes/long_term_memory_agent_0868024d-bf69-40f6-8fc8-c04607443aa5.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_0eae5dbd-962f-48ed-9c7c-172fae9cadda.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_196c2fc5-34e8-4f42-90b0-60d2dd747203.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_7d3491af-81b2-4994-8754-7f07b8b8fc7a.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_846a9971-ff7e-4c86-b5dc-153bc4aac692.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_bb972962-5cbb-4273-b9b8-80810b55ff46.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_c0cfc5d9-c69d-4839-990b-5edf004dd8b7.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_d235dbb3-3d5b-4206-888b-fef628241b14.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_d503c838-f280-49c1-871f-b02b36a9904e.msgpack.zlib delete mode 100644 docs/cassettes/long_term_memory_agent_ead8ea5e-76db-47ea-81e1-2582fcd033c9.msgpack.zlib delete mode 100644 docs/docs/tutorials/memory/long_term_memory_agent.ipynb diff --git a/docs/cassettes/long_term_memory_agent_0868024d-bf69-40f6-8fc8-c04607443aa5.msgpack.zlib b/docs/cassettes/long_term_memory_agent_0868024d-bf69-40f6-8fc8-c04607443aa5.msgpack.zlib deleted file mode 100644 index ab1651fd1..000000000 --- a/docs/cassettes/long_term_memory_agent_0868024d-bf69-40f6-8fc8-c04607443aa5.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/long_term_memory_agent_196c2fc5-34e8-4f42-90b0-60d2dd747203.msgpack.zlib b/docs/cassettes/long_term_memory_agent_196c2fc5-34e8-4f42-90b0-60d2dd747203.msgpack.zlib deleted file mode 100644 index e2946292f..000000000 --- a/docs/cassettes/long_term_memory_agent_196c2fc5-34e8-4f42-90b0-60d2dd747203.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/long_term_memory_agent_846a9971-ff7e-4c86-b5dc-153bc4aac692.msgpack.zlib b/docs/cassettes/long_term_memory_agent_846a9971-ff7e-4c86-b5dc-153bc4aac692.msgpack.zlib deleted file mode 100644 index 74fbd5fa2..000000000 --- a/docs/cassettes/long_term_memory_agent_846a9971-ff7e-4c86-b5dc-153bc4aac692.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/long_term_memory_agent_bb972962-5cbb-4273-b9b8-80810b55ff46.msgpack.zlib b/docs/cassettes/long_term_memory_agent_bb972962-5cbb-4273-b9b8-80810b55ff46.msgpack.zlib deleted file mode 100644 index 514390046..000000000 --- a/docs/cassettes/long_term_memory_agent_bb972962-5cbb-4273-b9b8-80810b55ff46.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/long_term_memory_agent_c0cfc5d9-c69d-4839-990b-5edf004dd8b7.msgpack.zlib b/docs/cassettes/long_term_memory_agent_c0cfc5d9-c69d-4839-990b-5edf004dd8b7.msgpack.zlib deleted file mode 100644 index eee74ce42..000000000 --- a/docs/cassettes/long_term_memory_agent_c0cfc5d9-c69d-4839-990b-5edf004dd8b7.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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v40iN6Xo9G1ts6HbZ5Z3NfXPz3nvvFa/Ru4uJ6hEwDB4sD+hvXXYZ7f1sbFfYubzrh744nzJ36m3ceEPv3Kat5Z9Eut7lZ50ljh5QlEkJo+3CNWiTbWQ7V9/02iAJd3xP1b+9ruJirE/xuaxo20ueHhO6vRsb8jvwaXvf8Bx/vLaTzJFcKbPCIvDD/i1t80pPlo1s5CYF752/vDwnWoWgzrMxXFHlkrquYPfVokNS9e7HN3H2QPGyj6h/bLMSMn7bl7o29uUrdfXs+Eijt4Zfmu/GMYdG5ORzUwO1tjd76ZbFuR26t37+E4Vo0zNNwlu76ypzG6sn9r1ZJfPN5Lr87cGrDdvFjpGGBZ1aQhYb0eIeDlhovYhNaw3gHm9cWu5vENdmv6Vi6b3ej2vnLso0ltT+IMA8Xy2NZ3+8NYxrws0fWfv62gbTdcvWmhxew7lzyZa1QM3VzoMcaSB40fnyOqXk0U0jjmm6RQI+Sfni90VM2zVj2y63c4Werj50drXI/f5TBZ+eJBhXk1d+XP7EwkLkRJupm5+bf0ultogj+q6kVth3u6+3A4Q+hazWuef3pacypilqSVdeonFZplZDRYBVsN1opoyy8dCqvtJqqaxBnll00sO147X0oM74nOJ35msEfi4J0B6X8X3Wq0xqbpNe9dY5+t3Tuw2jXq5Kcw5L6KlKX85AFQ4+QuU/Xx9oeHf5+nAzgbF4MVmf++Mvcm4ufEFY/rElRMuvY/dBl2GRfe8VdfXwEku+CAxPdK7VDq5dcHx+S0hFxzeo8PqjBuULZvuEM5tPdUb1NfdtvHpPYkMUra7odVuDVL1aRFD5+MPS3jiZReUevOuLag/4HtS/02OarK4hcSyy/cdmW3Lgxg2bPmn11iXXjo+bXM8VbVgid1/5RYq5gL1VxPHqcrPnP+q9CyeIwsqGng471ygwcy7KvYgNd1TaSz/FuzCQbdzlrSg20svddurBxSStjxUp3QH6Sb7ioyOr10YuR9eX2l7MCDGZY/HzY5iWz4WqiBWZaR8J4qGjwxEj4aKloWM8Y788fKq0dlSF/K3865LvxruqxcNyb7QWeBsEFwr0KEUtjl/Y4GFje7LR/yHPI0tF9Gj/a7kHZf66j+mLRR2vdKJ/ttnPDetdfoVZ3x+uQg9yOnhIGi1mbNAzV3j47LKFh8uHqyj1ZUtem6pD9iFbKj9Zlu8PkhkkZ6Xq47SMyXMvuQm0/ry2g9Qj4rhc3k//c9qXtB5zbm+U5O2xR/fZiZtV7b6u8Unw+VSww+5E/pdGYd+tt/qPbm9Kcd12+uiyoPtdnKCYTSVbXsaWnHXCZRhWzd+9kqL3s+F6+vNiPeO6l+4fe+c7yR/3IqQlurh2vE17Kxli6HF7Va/+kNHRgBPOxIxs8z2bVM2xnZ0Lyjr1jc+//bzbnNf78FTeZIq6QrTJx80WEdoGD+xCL1o+wWgXtJbXk15ZBRYt9ziwpcL+ZY2cjnelXnfygh1N5htjU5dseN6690DokoUd8cXfx3vqDgwV9NzgWHoljowvmJvUYl0xEBi+uDav3KNzWHKyMK45WsiRtsbbrbH2gGr31cW94VcqTnkMDOjlj0esXKmZU1r3Rm5RQbDeZa245GTPljGjRWn7Xv4gcF/K5QmEtVhF78wyWps74MpqzTii1eCgYNTVKffpqEzitpDv868lxpyLKrrQaLdkcKvUWQ32sxrxifOLnC1jeBUBxV8hTulprUsl6ovOL+8snaSH/yAsxX5auXw322+BS05v2Kvv+hWG6SS5uM+XDCrqsvRHKjeE7S0Naz8i0Np5vWVtTUNx/I+Uy8JOuo9T4rU1bfwl3zUylCJ8cQuM61PzJid6S53qnrpd3Mu4fORD+bsLr89/++OD/o3K78Ynn2Xl6byUHO+5U3hy6XcNr7DapjXtA+EBwcVom/cWA/tr3dlmIw1ldoXXOTJdu4zrHF8JdfZSj5uLXpkbhaNpGB8qaQ3/Xt65shgjEpfmjKmvqYyV/u535eiZq9y9UfEyBk8CisZ6V+R895Ossuu8ipIVd2hVNN2guKpoe7iWel5WsebPys01Iyse3xDOv0y6eWa4fXzulvnShenOnQXnM5vu9BLMXvp/21KzNprHijhIy5vvLbL/9CaHbyJd4oNDLcN3tyeSjvXtMn2lVbKyLT7ZEGO7zKhUauTr1x/oi/ryuR/JB5aliraeKrXFEo7tgE+qHit6+TQv0shW/5Xmo7ml82jrv42H7D+1t4y8zXcRATM31wYLyWRvqcyU1rBZcsRy4ZJSp2DTh6maajd3u6XojNeKeirsbDKVaCDXlHM9H4S1JVYxgiuPG/d93RhGzRZc9qLxhmPoADqnTuvikOaq4ISLwuPtDgUhwvJ5uI/Z4RtLNdjNOWt+hhx+3hadVHje7w4pq96XVZyn5R3Jc8oBQarr2oxb9r0vxX+in2utSThiYbjzvk2pQFXal71uIYMSTnDuEuNXJkTOA1vdiKobz3V3mj3U+JzwpHHvLl5+s4TXSW+q1tna9PDA/HWvNqy+7vFRVvveZ+eVx8iNa81KDi53Llqdb/81PuCde+GqoCZMv8jLhSvT653mXIdMK5qp/doJ7MNQCYwWMpQxMyp6uaO/zcO7/ITzXeUnGw+WrcOwR5tqq19leK7HB/dXP14f88D0rIhde/N3q5DHYwn9cwI+bOMIl9YT7kqH3InL3llxPr2Aq1Aprsqz55EH7Oe86zfdKGQh+HH+vRCTRYaGvdu3hQw8l4tXXrZxHbRRViFR4m33g8Xl3C0/nQu/n42WEhTMu3nR98D9CMWYZc++SYWVeGmuXyL3SfkcN0BQOufMLgO7satJHtptFo07BFsJrLnKMZf3yF6u6zncm2t/MCGcLlpXxUj6ERdxOP9jVdf6y6MCuSrSCQ+d0FtrEtSXjI3dqdV5XtPKMdCrF89PKpNO0+kc3FSvMj70NtlC643fFaGrT/Y/zGQlmiceDr6vIy7uocRxyQ9nWaZge2NGeuxQJA29vs4H9PIvAXX3BjBngi7hWzjrz7XJH3+fIEngxClT2ELfVjxa9FjxTULB3acjWqcc5uXFLHu7cMB1UCzMNWhAdfm1EslAol/++ez9Ix2fm+qOqmntTWMEZUWOSm+gtz6dULidb2Sp0LBZUXBoLaw/xPqRE29UWCzpAX1771+Z2LlIKLhvp3dRQ/bE8ILlyvL3TqzIkIjdkhJRd+esor/rsQBomDQyLrFirX1eZd6EnkROcEkCqSD52MvXUSwxM3/P60XnUvb4hI6L9H7r7Wp/IeZGlhupURFO1hSxk1x9wCqgosBXRiTg8jrd7J29J08dkr9BvsLrbxO+5xZ+8olirNRD5Q6JB9FHoRwr3IJ8Xw21xK5R8SesqC1fzoTep01e6lBboShomXs6uO9RrErKa9buWyGyjg40lhzJfXQn8Rn2rAKVlK7dPb//0R6HLotRjFOIPz6y52xHmmZjjdxt1ghJf5lPwNWzzaJreun+d5xZPSvC71wLabcId86NKdB5Z9H/pKVHyOLm3kffVk/27+CVT/jeGjw8P8bGi13UG6/TJ7hFKWKBC/tZZxv7K+dV5K1otysKz6wmU+kSplpNq7wmXloV+W61GShrONqmbPLce/WeIZXJ4Q5u6lirSkrw2I+xlIeXXtgEDb86nL/lnJDG8GnrRWkF7iNxE9UOFV8fNQpuaK8aGQ6+Nd62tiha5ABBO5cefGKc2CR7MD5q05GNn19hMQrbiB0+t8Y/+4SOjdMurPm5ed/2reclNYhh8RHyzbujGX9MRthx49iDzjStq/a4KF1UfLLOzrqqovjjiV82tuZRwHm/TTjpJF3rZYtmj2Dnk7sZDWcSFrSVmO+M0RUmVsq+kPxqo93qG+0phqq1PP1c84uOlvjieJIt9oWyiPfg3ve2Dc8masesRu06GrtPRV6AX0WsiZT0vqJWnvzpc/+YivuVRE1IDld6wT+GnlK+WCT8bZpw2HGamF7r6GTQpkNLky7roh6VnwoQ1XW6O1DCNhC4dKx8QiVcD+eWKDF8Lbm/vPiOq2tDvYuhcHf0O4mP1hc2ovIynn7SnkPvVBhu29iVL6w21HN7TZed/lDD0SAftx5hD8wTv6D+gTpFa1rBXd+egOGK261fAzy7dpfKW28qi7is5PejfELrYGNayUTgBHuJ3K3Eo90Sl+U25gz7nBqac21Jlvi6qw8aCMvnDYjf8c21/9JJt+sfISq9/JlGfUbXuVDxgAt1dkkch1nf1g4nJNu4JonVO+JzUyV1vEOoq/CDE/cZCr7wthsSV9oZgtH7f5IP2bZNmKzpTC2Sh+UzMkpVq1GHHu+JcPYgxNrSvT7fWfk+uHYTRaj1hKCX/px3g7m70q/qpOoMq0UXoX/aYb5cCh5PR8VIQIMqocNPVMr7hBNNMz11Qq+Yn749bLgtdPxhbXRaxoe8T1ebNWO4LG6Nzq1055au0fXP3ByU13j1v3l7Y0Cv9Ej46Oeug0faSqpUahesq936/ryZJ91mrsy8ose0V1ceXxt6UvSsfNcHhq/badnhwKdht3MaodQkefphP+ZoXffG20VncDmD3cu1vYpPrnbaXpXVrSQkFMzjPckV7dS1XfjH90Yf45DQ7oRurdYouT96mz60R50adenOD/xKURSOsl1gL+QgKqprIzccGBv2MygzXbTuctGuyDNhaZIru177lQ21Gb8frj5b8h2VskXz7YL6Js9w76APW/oXru2svVUhUv3QcfTDFsfA+OWBxdtE+1VCQ2xH9Y5DgrE6/muTLqqu2lNX5dIxoBlGcn+n+scnbqetvM7+yKBDWpYry3qYgcsNbipU3q17uzWVUY1hBBPFOCVjp/Nxx2TbKmsWv9YsrE/74LM95WnXlwQd8dFKER/xiYm3i4fykL+wT468xXo1+QyPuC9dV8Mdi54s3/FDclhpUjhp7YSrPkrf/VToZF/3BoHQ0JEbw8cmAynJbYFDo8m3G+4lly4Mjf525vZES/vkyER96Hjn5Jw5cyYn5805YJGS8B41Z85/cTu945/fThO8ILYceGZQYP5VBf9qoWn54kCp6bs3FnJPHSg1fW2HXBw70TkoiAmjIJQXTGGQOBQUxGKRWWyIxkb5kdleKIjoC9EIMBFFoSOXNTCTiqLCVDqTiyJADAhPppDZZJiFQVnT/WAmIMNzAS/k5g9GrkpR5uYWsiguEELlsNgoJkzhoug0FOwPGNEgygwrNh0soQMYZNrUnTZAj8LDbD8YpqEAWuQCjD8IBNmzgcwAGMX2Aqh9ITIFwlPgPxnRKaw/2UE0IpDJZpJhX8CbityTIYoRYTZYB+iAvYCWFApfeT5MIBRAQ0HgG6wFjBAxyEW2NAtFg2Eii8+TQ0NuAtnII5gnM1F8i/qzMa40V5rFFBR7xOAoYw6ZCFPINJil7krDYVC6BDbZF7EC4Pk76G0syBf2IADYHlPjsij+CBMmQBTK9Nh2BBKeQ6YQgZURTzNhL5jGAixnYSLTPFF00i/kAJQ8BmUB+cyYF3iJxWEw6Cwy36R8jQB4JsSgU6asjEL6CYiIp/h2JE4hRfzsSlPAoGxgTw4FYgItmDCJAhPYCCUDAg6e3WKBQAXK09hkEhfMInadFgZQk0CwgLBCGCoCnzKIIGAQBzCBKBobiQzkQnW2GlPhCEMEL+AIPxSDDBNgZH5WyABmShiUPpOO3OPPiOBTz46rKT7+IMgRQ81ohgIEiBuR4AfLuICXMohqJhnMspF4QyyBLAD0CBsAcdrpUyoB2/MHfSEKyFsUhKQLC6iPIgFzIGqqADVn+xwsY5MJZAai+J+RhQQmADJzic76Swiy2FwKDJipIk4g0D1pCDJkHUTwodH9KDARxBwoAzSQ60Dp35aS2ZwpAwD+CFwGzI9FFooO0guFND0AxmoYlDlIFiYSu79MAzAwmHRfRJsZPYFcJGggpNZMIYfAKN1zKkZwWD4+ELdTYQEQUZAeAUQYEwQf/359ivGUZ1AEDhN4i43IAelMRbPoFF9gbX5CbdqE0key2WIajyuN//MXPKR+kUD4Q9OhA7j+ngy/QoiPE6kLFD+Iy/qzfIDc1JyVedquNLtZaQ/4osgslC6FTEBMpCn3Oykf4LS2f0KcHvgN5HTAcMAE91ddIv6ZbAjOGUPMrnoIvN/KAJBqSveioShkH8DamhwQALnS+PgAXhJgC/Tkw0aoEMR/Xc3HbEJjsZmcqWR1pRnSPBGn87Pjl8FoEJvDRODKgn0BlBxAD9KDCNABf0KeHBjx55RADArYjIkAoNH5AY34AfZHejXIbKAv4hwk+qaT/G+2EAQPDBFB3YMhKrJ7gFVkGjA2qNu/ysM/LXNI7aFP0fzKHgxKD56q5Uik8/cFDp5NQawMz6rkFO6sxAaLdIkQgz3FCtRYKoc23W4ylX4IG1BKCF6zs2tWSePznXHjn9WCvydO1YBfuxSSTWR+2fyzPCG7kB+yS4F5JrJR0WYSmYYUm9lxAUxG4tMT6Sh+tPEZA1chjwgxQAW27pkUQGan6MgIyKliPbUL808HSM4ihiOidI3sDG34pLPXyoIYJfDdgPICOxMChUSegc3fS/+UMnUI4e80/GQHJwsKFwgwtDC00DO0Uefb4S873kwV9oG5v1kEiXJ+OMuCQ8iUJ2RRMJvALw5IQxyTToGRwwyLCwKIKhUsi/rtjOOAQCPR6QCMF50Dtk4TFJ5fyoGFkQRB3Acx2Vyd2bwQv0oF/9aR58lgoxXpCBEN/MSB/8EypLBRPBClPRB7IScsfl8YmAXZBQJ51gAABzyOpBQiAotRQcYQl00dy5A2OkQOqGX8pEQk/XpWBzohNuDr+ZeTAkJIhFkEJpkxTStlO3X+QRF+VUruTBiBrRZCSg7ffKjpjy7TEzmhoGZ9pldtA2psV0eS+6+nNczv9GSQSv6obVNtMhDFBYSX2/TCqSnksOVFRvJm5nzG/sX0NzA2MDAR7a94AA51lO2s8wgXIzXtA3BGBjnBtxHYQICNkYLC/zltIORxxrxTnTZIlEjxcfEnIRrXivS7G5D08ESCQHbWYhqI46mwIMIkiENBAgwZC0bYIWd2MoCH8JmRjJDOLKbjvcGeKxUc/BvLf83dv1Xwv3G4IXKAAyexqZLOmX1oQ0F4OgeUIlAE2eTp+jR1bAXn8akDnxeZMTWOyOInIdIQCrZqmMo/pszsVhBlqoIBSWAXm2LJ5ecm6191xswPMsiGv6UCJZpvpn/iM1DTiEg9hv8ZwZSVPf52+h+8NCPsN8azmPyd+2YNQUwmxJX6J85HFPqfcD+MNLL+FgAI57/JeT4h33vAscBZYBP5dXD/770D3jf/Sab8g3pTpP8DurEhXzKF6/FLRRbIKJYH0tX5N/rpoqboQNh5gjcqFB3MUPkH0amz+6y3IbAHEsAWDJwpOxXu0+eWaQn8IEZedpGFfmANf1ObObRANBZ4l0Xx37+nXpD4+fNrS/cF3/zjCgOMTm8peKTYTsPjW+ffMvhfFJ3NBwFEodN9UByG1Cx7/0eucfv//eH/B/rDPR3NrHfb2xirECEr310WZC9FFaKCj6mageoeqr6KqvMuI5KBF5ljY2To+asBW1HxV3+4ApO4T94RQ9AjevlYE0g+1o428jY4FVVlH7y9A8Y/wHaPgqO+KdlfX4W2T89AYbc1287WnrlbwYxi6c8yIZnqcekkgqW1k4+ahZ2+maeZxx6MN8Hvz/5wUyJln4W9LVHRehfXgUa1cLA0tTRiqHHVzD0t7HzMTHEKNmxbK+MARbrJLHjKyir/fX94uiIOq/zvNYiv/q8axHHqWOz/SoP4v9MB/h81d6epyav8n+/uVvif6+7OkkdoFHGq/3l7dxqO+rf93Xh5PBYLEwkQQVkeq6CkrIxVUlHDQTgciaSkpobH/m/2d6uq4YkKSrAy7l/u75679M/+boqNxdFm7PKyUYelJf0f5j94vZmKgTeWxV2UHU+PEyGSKZd5SkabVDplh7sNfcsffa+U7/5axk072z5/5zp0A8oOHe7trFHcEpdgHOTvHNKb3F6a3Devtjw0LeqB5OhYhW76bt1KSbvWnHM7vJ2P3j25gdy2e+GxK1ftywMSPF9/eLtTMf25kdPLg9XiFr2ytxOIR6spISINxFWFjhV58+e85w5VHbL8GOuofzqJt/AsHIkPLp6P0nx9SKCaorprrUHAltXF+2m7xitVI3/wvBc1dJ1MUYoKN0/JFFrF2aPfevzyznseX5cdlMgS68bOP2C96dqLqJDFHj4V+ZKbn1f/tEbtyrLYXyaoVJ/xx9d+VIp1WlS2vpBmZGCuRZA8mRrq4sQjpD2PXoFfnLFwI16zfr9pgM+qVRIXLcMuHl/Effbu5tvlDLFd4ZhjToTe7RSvbVdZ1xbZGlV93LBw/aToMaEXA5lxuQ9EtNQjl24Z9qnppifXE14XHFvJOX9desz/LO9i9oDdj8O331/cd7Az17j60wdNVWuZhT/PzBmT8E0Zpd9KHai/Bm3wisKIYtprnlu5FnUf1IoNO3DNIehU21eZEJfjuqI1Ks2b4+yUOi4rmtHOBTr1Kx0t0P2YvRZTXW3CqP0jgUp2jSwfIL2pLXxLOmqvXXsUviFSjRteNPVn/sMsH9eseXPm/D9PufAf \ No newline at end of file diff --git a/docs/cassettes/long_term_memory_agent_d235dbb3-3d5b-4206-888b-fef628241b14.msgpack.zlib b/docs/cassettes/long_term_memory_agent_d235dbb3-3d5b-4206-888b-fef628241b14.msgpack.zlib deleted file mode 100644 index 222409c47..000000000 --- a/docs/cassettes/long_term_memory_agent_d235dbb3-3d5b-4206-888b-fef628241b14.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/long_term_memory_agent_d503c838-f280-49c1-871f-b02b36a9904e.msgpack.zlib b/docs/cassettes/long_term_memory_agent_d503c838-f280-49c1-871f-b02b36a9904e.msgpack.zlib deleted file mode 100644 index 7c2851422..000000000 --- a/docs/cassettes/long_term_memory_agent_d503c838-f280-49c1-871f-b02b36a9904e.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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vfoqsm7u7d1+X3cIrzk0cOY53H07zZU7mP41o9pkY8xz+K/VR2C7Jx0cu+jKpSmvLDpy73DPWwbhLTjmCGxBQVThoKtbTH/Cp4OOGExeuzJNUp2P9jigZDUZbfd5WESFIPrLr7HD7Vr14sjKKWVM5InZC9K3gjiCcGyomaxHr8ulj8brvWZ8R/NUd7BaPs17vv9puo7Sr8Nu6gQfsPdm92CEXXvY8TQn32SQu14D+viwB23qEd6IkqaVzMogZEF/w/Mp9V/s5Xp9N8iLfrSL0d7znvH8/nDvmFTrCnalwh8C83ac5oM5/eshNUd3p+jDXWNOl+pwLQrnrwgnDNwYQvq+83p3lKJj/cl2yhMEMPjl4yI7gcfEVkPZcVpA7oD92eFv6C7bXLm/vnE/JfZZGG9MbiuTuvSh4yO0V/dDp7bF7x07F13zhvHYnc+Rz1Ezu2BtGreO2ys83ey+aeBdhis6HwekbhTuj23vEJ0sEFIteJS42m+8c8Fr/0JjPyMP/VsLDTbefK7vXIMIdn74v3SGXyzsRkfZ+i9hjypsF/6txH54NtgzInPoRvjsmzjzji0YA1/VXUXzNfpPpuKzTxVKdW5qafbssM7cK+Y/zy6bc5ZIr+7Y5Rbu4xk7+c+RWuwHuq9PXxy/eX8iSkmMbuSVQ9aGUd5+KRyOX4aN9ef5FUYyXwU/YI3ciew+U3BuySvR4srm/eo9n+cvvabUbJfBTxnvQM4X+rTfZaeLPMdy2wUh/3KlIv47dVWPvA+6r7+lZM/5JpNF86MP2wA/ffG5wDxv7Dwy9TCo/m7X4fPRM9QFXpYxvGyN+9LjZ1VyP6oreP185HVdQyeVyJ/EU4zpntaoqofTEBP2ShsbzPS48/hWPcMKzeL2L61uezMzKflHXcnc8RLx4KFd0ewPML3LvJpdSaV7v7XoV34MzfFI7o31DT33fAac08hZhRxmhGwi7beqaBPhN4VEcr3wvmfl26le+6fRi9oqUJkrpKUXWFAopNp4i6M12fJ+fePZjdqvqt7nGz8ZLmbfGGuyq1Dmy99afHqjIJo1dk94tqPE14ox41lR+ntK+x0f5CoXqJoDmgtKYcL8Y7ofjC5X3v3TGTfo/3/MIG4tI5PG7dtJ1WCpknBHaX8zXUprcn3bGMI9okkXmNo1Uccf2PdRLuH6f1EJdfDJ+I4fs/RLRXd90WWTiTlJ8iSXPoWGXC2vNX/GcWLKfHZb7i8n2wo/2/IcKQXHxboT6eGmk25tFD+XJdAHtqGPebkH44bFrtkEmnTlBOJNyjqRUR/Zr8MLyhcp5fLU1J61z5Op1//Z7SV+XmqT3t5MUR5ImhZNnp/EFM6kNW6V/zNTuVdft3Hnr5ULP9odXZ22/VLGnDaSK7Zt+uuGEStHBhU7OpfSLw29utPOnpXljyj4MN/Yb7VoTGzFyduiA1IOzdbyb7KRE4o6LWjYewgsIKBDSI5U0EK02O0nksfOVk71aTZ92B1K2UVC1CkhZU5z4EHGHSjVPkGWfqoOb4NLk7huzCREqWmkWjWGGBt2eDYZWadoNkvfGziXf3rP1sust6abDQs/2Swjy3+c6M1C2vx0rvz2seOrcvXb6kvPIj9PXT208elz2JHOBUvyQrPGXa3fdLGd4vNxNzGwZuoNXpWr6yo0nxWWd8RNR3yRr5XctDYQTnG0iDnR0Oh/Vr+V0fje4t7vsKYd1ra5Heo9N5/HpsxwUb9r59Bt3zxPP0TcHqxJHK5rv7vNoOKR58J1sb4Lpi0HXBnYdWNV66QSvkNsJiWUvVRNPrudqfOHVYnsqY/L4F5vADlSpJtuWD5N4nfeqi5NZJX919RQnLF66wDFONjU009HJ7qnEz+ea+PP1zQgn9aXpXcF08xHqXcwZ9vndNx6H75hK3YikxM8+GhQ30u792thA1FEmKY75aJqoO9a9vL83WefgX5o3guHmug+dX82wTSz2GYY2XTBQgqOA3C6fnkAFQ/xFAldkc+fzBXVdqpoKVsBWTVKrb7OC2vQaEz2kzES24GOh2xyOoRga7Pp8hfaNeDab2O+9VRf9DhY2SW5kb91YptuQrYGzFCRue5wW2V8U17BlTv7txydXrs10f7b/PjSz5U0dp90LfEiu8BTqbID4xuLUqQdfejNabrryH9grcK7xm6y1+kNP58Zu//Nq4qR0kfskx/Qwcg6f1UQ/vLE+5OrCC94it9SnOu8+qHlMR5knf+QgdwEGvvdLX/bZxTe/mR650Pzs1P2JH603CwhhizVZyZ++ZnRcCRAKdm6LHA0xny8KS/v2WTegsIQHm8/j5OZ10y/LdV+GWdhIHecu/lgbvsqxj2Uv0q+X0t67Wgu8ml0vErfrU9Jinxj8q5KPzMg6wZ4XjgddCdG724pbaH18xz6+ezjIPGmL1jy9rfJCoSZ7C3cpbv01thkA1RSkcQ3rn/hhbZoVHRPbai1ZfugpF3Fs3rDHoXPi9YWJLYaP+N0Dcooe55W+uxnbEzeUgx3MUZtMPn6ycUvu19LBoq6BhMAdYmZUUnaA8Vq1y4kSr30/4kt9hOrmLj2y2W2ws6ByV+Jgq0hz24GaScB24bNAupLz8xDueg6g+Ypc0sT+Y1L1wvfFJrSderZlBI6X2SehzORLnG+VYk/O8seizfUWdfL3+LiWszu/nqNacA5u0ijP+3QjSL93n/ZM36azZjVq0vGe3u3mXZc7pmFFk3zJm7FjeaNP+HlfPG7jyGOuF4tyUvBU+RAQdVa69sDsuybz+hTr4m99JczhlE9EH6VT10b6HliRi2XKjPfGh7Qwv4/wzy0KXpsO6SvQEEyn7jv4YoI/0nSc9lJIvHKNblTXQYdgeu3gYG+EOuAoH3vxltOhbvOIPNfEtw6Xrp7a37W3eysPYuaK3tod8z9M7fm/13wZCOX69JKv7aT9XE/5RI3n4R2VC+nYPWEGp5pfWaatEz8mGZDYsdYoow71beB4hlPVzCbtTMEfM3Hf6SXzo0JmETYG0Q28AdkcxLXMvPiR2rFIDT1a3LCo89J4LzPwE+GCGuLcfENf0Yha0MC27P7pLD2Cd7kL+8x788b3SYrja/hHwnrn4mffh7ocIslYDJ08DQxa8IuQvgvtD0i759zq44JWXBfkXdqJ1vdKS5jOOCWhe9jNvrFNoGt499nX2bHDX16e78NxK5OP8QpRB8y+ghgMvHTn5fu5u7c2qMAXxmW6syi7TO/wrg9s7pB508oI6jluHxPMKdIeC7sr4n/Oz5fbUEG/CzvTg3u0s1dXNiBuK7ZSbqfJs2gmLk+2pmSUrCnecb61ppE0m8BZAWLdJ2Gx4+bOaY4EhY4rOVnD4VoKdZ8FVdfWC1plxuVfOnclEK1eqEJSu9oRVHrlqlaX73C6xBRmu+4HyxeMU7ZVfoO7NHmqxMQ1SFovXh1vEhq5aTNU6OTyUsk8Z00fw+C9TtRN1865ppbABexiU9N3M4crAePqhVdstiqX8jK0vvqnfhkwUn8ZR33Z5v7gsMhJLzVOt88CbjatjzojRt51O10on/WRe127ufRkxFJfqNHcSV7YCRXha29gESIeVGue3kbRMp4a/wveSF7Vw5EbHuWTVPyDt+h4H5b2eYA/R7mdHTQ+oVFnFGU7L5b7463tOtc2xNeFlvK+5geh1WrSpbku7sqjNSofNRak3eY3jYkXy/q15Ud1MCJv2w8/rGqYFb+xYM4Muty3ZszokTHn/S08T1renU7PdcE/8jFfA7R0P1XIMheQL/tmfrw0nWss9pbzSY0RtkriUcNJpWDVG2+0VNdmlqtIxFihJ7cMySmi+03JVOrSjEHa/S7zwheiOQmbF29o5h2U1D6OL72zYQ/75oHqql6roL4rZsJP3r2P/Cysks5tb2D7Zl2PUamVdfK7LzBNx54PVt9U1aqMGPlHOw5Fz3r07OZKiT01acnw6E1sfSLWkkvoc3gIb9EnVBVm3eCINyqvOzEdNZ3z8fCTH29cQ/OdwkQ/PDDjLHCpNB5RSkMfuy3M/w52c53Eo2dbP7w+p5fgb08u5in1Czob0TsdGl/h7rV+0/gbren22C1vO+LcRF6wlw4er7e01fApVenYxUfj5a6rvmQuqoAwYXofj3ffMwufnj6+xLynFCiRnCvNtTPW3EqkjOYnQFW3P0QNDBmaChMMrV60ZJsb0vDZm+sX0TGbeObd+/q6yurq68eOddz0PK1Q5yj5BetU0mgbP4G6d2Pi1u6tutaFbnXf+3uHT4ioHn2bsD/URzh5uF76qYxziW7gh4uUb8/kDF2/SBp9XfC7NnV+4ZLCDpExzO6htIiodtWNi+aBHpnC7OtkRnP3ib4e8b1a+WBYuHAsZB9XQaL2uhM776k4mBmHIWu1uuL3bYho9TIYLO3/6K0xXRbWbr8Upnmxxq18wWomQV7PaOtdzbiM6rPl89ctKrND4u23xCDPrW3N4zoQ+iiKjOBQOaxszf1OrFc8S/huTPtYXAu3/859oos5z3KTFu7evrZlrM8sj3k+Q2NKpdT7dKr4Y/4G4Or3zqKdFK0009vbDMRFzto823kWe2vb4cOixvOO3t5C6oEVrmppTQ23nddfU786ZVTvap+/A/UuHim+qaNdYELU+61SrjBjKqHRTMdhIqNzYNye77OLyuZRpSE4Qu3rlS3zPZqnJ+PPBNkcS1ucGOo9znW0npF20sDqYZEM8G0a8f5p9OvFHP4tSOkn8q9e97zxvnCGw+Pe+R8uzTXRh96yn9dZs7W9/6WY1336qYzxmx8mxIsqXx4TsD/8MCTGOOeWPWmToVTfmZf+fduTHmx8OVFX+fy+qvr0ut4fiDXiZfe8X5xc7Js9eZFvhPDitaCKDjUwuq2sL6Wh8NrhhUWVXaOuS3ODuUtTKigL5PSQvODmvoL8pYgldfFRwZb5KY2/tBaom08zWlTn55MCkzRn5psUpjKWugKsgJFvI4E/LJf2yM+UkOYGB5ceLeTORvwYdF3iZGNbWlrHJh/eZtQJY2P7v9xIi//bN9JoLIomDX4n4wHWfQXrfqF9q6if8MoFHBW6m/YTXrm7g26P7Ul0GIoCwFAwLIAnu9PxMBSViqPSUEQazBtHw8JQGAaKiAYwMDwJurEBKAQYASCQKEwYGkVGueHwOBoOoErBLEjeAAUkc2OCvKDrPwC6L4WZmJhKwJjgJgQ6lQajAHgmjESEAT4gIyIK/5MVjQQuIYFi4IjLF9ug9DA3gOYNAEQYKC10C8YaBDeyoYF7+gIwGhaUmoHC4VFueOA3IxKe+psdiogB96RRcAAD5E2ALssgxTAADVwH0oH2ArXE41nKs8QENwVFg6HAT3AtyAjaBrrNFqPCiACAobJ40onQdSAN+grO4ygwlkV9aFJORCei6bIoNpDBYQZ0HAbA44gAVdmJiJCCaaFpOAZkBZDnn0IfpKIYgCsaFNt1eVwCxhqhAGgUHr8ydggSyY2Ow2NAK0OepgBYgEgFWa6SCUf0gJHcf0kOCiUjBTNFef00L+glKp1MJlFxLJOyNAKFp6DIJPyylWFQUwEG8hTLjphlSSE/OxFlpWCWgAcdj6KAWlAAdzyApkGUZBTo4NVtFZCooPJEGs6dCc5Cdl3ZDJTaHQQLCCuIoRzoUzIGBAzkAAq4FZEGIQO6VV2txjIcARQaCzrCG0bGAWgAml8FGZCZvBRMh0KCLvN/bsGiXo2rZT4+IMghQ/3UDAYSQG6EwA8uY4K8FEBUU3DgLA3CG2QJaAFID7EBRVxx+rJKoO1ZgwwUHoxbGAoKFyqoPswdNAekJhJUc7XPwWU0HBpHhhT/jSwImKAgP2/SqX+DIJXGxAMgM0XICWiSBxGSDFqHQnsRSd54AANiDkwDRDDWQaX/WIqj0ZcNAPKHxCUDLCxSYSQwvGBQ5wPIWEkKZgIGCwXC7i/TgDKQKSQGpM1PPcF9IdCgoFyzLDkKHCV5LGMEAWfJB+J2GRagRHioUQDajAKCj3XJvsx42TMwNJ0CeosG7QOGM0GSSsIzQGuzAkpEBKYDRbPpijxORNbPX+JB+csdhD9qBTog1z+D4ReEWHJCeQHvjWJSf6cPMDZVV0WeuhPRelXYg3xhOCrsCAkLIQz6A/OEshkBNBwrR5iBCLMnUbzAWVXpP/mwpF8xxW/5Vwb+0GAFTXRwgvkraWF+RyKkxE8rrU6JkOx/5Aj1FRnxJMi5ZJyvL2pFbFAZdxQDAjSwPA4KTyZDFgLVIwNk0LkkIo6lxd85svQwIlJpFPpydDsR9YgeEEpY4fTLwkQUjU6BVJAACwmYo0B6MJ4woMQgAFAedAACgDuoGxEjBQONTAEgC5NYEQCZEvCBOjxwNNAGkDchuK5khX+oOZA8AAoDJkoARYDKDbgKRwQdACb6X/nk38yLULIiLdP8CjcpmDawnPyh0GAVErobDQ9ZHliV+vHMVZkAXKSFQZFpy6zApEygE1eaVJbjFWID5h40dnU4rsqBLL4/Xfs7vbCK6HLS+FXWoPDDsfLs73wGlS1vqKyB8xSoshF/Rj4Ryk6rsQKazJ1FjyHBWAhkMQZdBX2FiEGpwFr/M2ag2WU6HCTkcnZfLtus4wQU5JDhMDAtfWs9Sxbp6rUSIG7RLDfAsGApg0Rxx/0Um1V8f++yfGphlSZWdgCPIngmuIGeqZ6ptp6lMssOfyuRP9O2F8D8wyJ4HFjroLCVAINg2RMSMICGZmUTqI2OQsID0OmHygQBRBAOkID9cSjyhnAJo2JJdLDO4mAeJNYuoFmIAEVj9XrIl8IBf/TueZBpknIkiIgI/kSAf8koKCAAvCukqCtkI+gYxuogA2fBiALBu2oAFAj0MhRG0BZwKSQ0Brlp+ewGNdxB+4AJjxWI0E6/viuDekB6s3T723ECIsQAVDQFR16hFbZaPiTB0L/SKfMndMB6jIJSD8tksJVHi+IBHWNgq56VVQdBNQ4pQwH99yOd1J/0ODB8fGAHlxtqUHhHEFLOKwuXp6ATGRYHxcrPQxztF9M/hLEEQBMR/y4PKIcyzGrVoYUpJbziA/AgDcYBy0ZglQFtDCUR1s8VA0Fff5p3uScHQoYwSy7WJIrINHf/0w1QSHhAIJBYtZgIYncZFhjAHUXHQ6CCxgIgdtDBHgeKB/H5uTNE+nMxyc0TLMzCAQF/sPyPufuPrP1PDoei8LeDGOBGJMqylSGEQ52gYHkGCKyjyc8ihML/v5nwf1JpAGr0/ENtSKB/UJxFyFISfAcBdQLT5a8z7b+vHfgq9h9Vbpn0v0E3GoqBwzNdf6lIBXFEdYW6Hv9BPy3YMh0MPGSBLxswEjhDYJ3Rlo+1q14UwGyPBosN6GqJ5RPnSoVe2YFVcKD3QGghmAiX68vP8owiUsHXPBjr1XT53cGNRKf9Ll4M8JNVmMng6EoCdYNSzIp4LOv8pwz+N0VX84EEwpNIXjA6WXiVvf9LrnH+//3T/wv6pz3sjC2O2lgaIDEoc4ahKQ4rh8TIeh1R0lU8RtBBKjoY6rvrYnF0S309j3/qn5alYE7I2EmhtTFYLwu0u5eFnaWMJQKpqODlZmMr5eNrdUzWTucIzkcHSTyhrSt71IJmbWVDOSprjDfzoRq5H9FmktzRZhb2Xkqm1jrGHsaux6Q8V/dPH8HgT5jaWGHkLAyZtkSCqa3ZETN9shJTycTD1NrL+AhC1pJmZW7gK0cyWiWeggLy3++fTpVVRCL/cw3Uu/6dBmrZ/5EG6v9Mh/R/qfk5FSEjq/S/vv1Z9r+v/fm2DEQjh4D/1/ufUxCEf2yABpDyaACuqOjmhkAoohRlUWg3FMLdXcFNTl4JjVB0/59sgAaQ4FbygALiP9wAvTbwdwM0/ooWiR+xLWhk4cId6cg3Z2JN1++KE5c8EmOdHLnDxtM46KJayWD3jRME0sHQ8a7D0vstROPU6ibm3YcCJlrXbdMPO7TepvY2vwcnbwGFIX+re3zupFousuB6bkzZzAmk66yKEo89ZXQAmTkzxC9OTKjGXmXcGz8ocmAAa2nSyctUl1K+hQpXaBPn5fRQPTjejb8cwZnS9DjfPQV+/tDC0Bo2VUaXnDBu4XD6ZY/6GA6dy7su9NcKsX1qS79wWejqNlG9yL261Tsji+9oINhTGgQyj9cOhxrA/6K+f+L93ety6tNxtTOyW7fKnL2GhNm+1z9/8rqqyXon7ezt0aEdV9j0EbsfyGqS91RyPuzhuKVgQyj6ePREEwz39mO2Nd+Ty/dyavrP8Mjxa5cHvvLZ8fGA0Nyi3BuPCEOBFM8Z9+yYXRVsUpptNDU6H9IuJc9L2cki0lB2XVxjLbrZoL600PHMGn+hzm3RQ0+r2PhzjgZ3XNaSNDosXXvel5Orkv3GgY/hyNRtxBSDi89alRy5RTd/tFR4H3yJ30tu3x7lkMQXmjNNRyI4u8/cfZniYZ7bCh98LfDwqV0GsjldokGkerOEPnZbc9X1LxMfVRnXKi7TAwc3Ru//+OVUsFVBYSY81TDY+5nQqF2hVvpmS6/hsh+TUeK1MROlG/0W01z4ZW65+EafPiR6UJeRbJXky1ZePFm4xG6pWB8eVvvcK/UvVWl9lUTFoVqtvT2fH/MrHfHbdqCa+Z2DfAdxBF3ZsHa9qE343PFXfgZFfh+mJKu+BQdn2kZ3Ju6vUNDFx6bd2vh4wr3IMs2x97PRCYfs1xOhfWpTP9Ys/6+7pSZ3uuNfbGz/BziL60M= \ No newline at end of file diff --git a/docs/cassettes/long_term_memory_agent_ead8ea5e-76db-47ea-81e1-2582fcd033c9.msgpack.zlib b/docs/cassettes/long_term_memory_agent_ead8ea5e-76db-47ea-81e1-2582fcd033c9.msgpack.zlib deleted file mode 100644 index fe1450832..000000000 --- a/docs/cassettes/long_term_memory_agent_ead8ea5e-76db-47ea-81e1-2582fcd033c9.msgpack.zlib +++ /dev/null @@ -1 +0,0 @@ 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 \ No newline at end of file diff --git a/docs/docs/tutorials/index.md b/docs/docs/tutorials/index.md index e23a6581b..5d17ac234 100644 --- a/docs/docs/tutorials/index.md +++ b/docs/docs/tutorials/index.md @@ -53,10 +53,6 @@ Learn from example implementations of graphs designed for specific scenarios and - [Language Agent Tree Search](lats/lats.ipynb): Use reflection and rewards to drive a tree search over agents - [Self-Discover Agent](self-discover/self-discover.ipynb): Analyze an agent that learns about its own capabilities -#### Memory - -- [Long-term memory](memory/long_term_memory_agent.ipynb): Build an agent that can store, retrieve, and use memories to enhance its interactions with users. - #### Evaluation - [Agent-based](chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb): Evaluate chatbots via simulated user interactions diff --git a/docs/docs/tutorials/memory/long_term_memory_agent.ipynb b/docs/docs/tutorials/memory/long_term_memory_agent.ipynb deleted file mode 100644 index bc8dca7f2..000000000 --- a/docs/docs/tutorials/memory/long_term_memory_agent.ipynb +++ /dev/null @@ -1,1154 +0,0 @@ -{ - "cells": [ - { - "attachments": { - "33838030-07e6-49fd-84d0-8b884e1fb384.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "id": "8cbdb316-6af5-480f-a9c7-09f116f86273", - "metadata": {}, - "source": [ - "# A Long-Term Memory Agent\n", - "\n", - "This tutorial implements an agent with long-term memory capabilities using LangGraph. The agent can store, retrieve, and use memories to enhance its interactions with users.\n", - "\n", - "Inspired by papers like [MemGPT](https://memgpt.ai/) and distilled from our own works on long-term memory, the graph extracts memories from chat interactions and persists them to a database. \"Memory\" in this tutorial will be represented in two ways:\n", - "\n", - "* a piece of text information that is generated by the agent\n", - "* structured information about entities extracted by the agent in the shape of `(subject, predicate, object)` knowledge triples.\n", - "\n", - "This information can later be read or queried semantically to provide personalized context when your bot is responding to a particular user.\n", - "\n", - "The KEY idea is that by saving memories, the agent persists information about users that is SHARED across multiple conversations (threads), which is different from memory of a single conversation that is already enabled by LangGraph's [persistence](https://langchain-ai.github.io/langgraph/concepts/persistence/).\n", - "\n", - "![memory_graph](attachment:33838030-07e6-49fd-84d0-8b884e1fb384.png)\n", - "\n", - "In this tutorial we'll also distinguish between two types of memories:\n", - "* **core** - these are the fundamental memories about the user that will be always available to the model. We will be using LangGraph's `Store` API to save and load these.\n", - "* **recall** - these are contextual memories that will be looked up depending on the conversation context. We will be using a vector store to save and retrieve these.\n", - "\n", - "You can also check out a full implementation of this agent in [this repo](https://github.com/langchain-ai/lang-memgpt)." - ] - }, - { - "cell_type": "markdown", - "id": "2a45f864-b4bd-4355-bddd-83921db2528b", - "metadata": {}, - "source": [ - "## Install dependencies" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "d6cfbeeb-3dbb-4020-8f50-2a69e78bb5c0", - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -U --quiet langgraph langchain-openai langchain-community tiktoken" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "9c5ed37d-8670-4f5a-b830-1c1c3991d7cf", - "metadata": {}, - "outputs": [ - { - "name": "stdin", - "output_type": "stream", - "text": [ - "OPENAI_API_KEY: ········\n", - "TAVILY_API_KEY: ········\n" - ] - } - ], - "source": [ - "import getpass\n", - "import os\n", - "\n", - "\n", - "def _set_env(var: str):\n", - " if not os.environ.get(var):\n", - " os.environ[var] = getpass.getpass(f\"{var}: \")\n", - "\n", - "\n", - "_set_env(\"OPENAI_API_KEY\")\n", - "_set_env(\"TAVILY_API_KEY\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "dab4e96a-8a90-4df9-8818-5a6edf5805d7", - "metadata": {}, - "outputs": [], - "source": [ - "from typing import List, Optional, Literal\n", - "import json\n", - "\n", - "import tiktoken\n", - "from langchain_openai import ChatOpenAI\n", - "from langchain_openai.embeddings import OpenAIEmbeddings\n", - "from langchain_community.tools.tavily_search import TavilySearchResults\n", - "\n", - "from langchain_core.documents import Document\n", - "from langchain_core.embeddings import Embeddings\n", - "from langchain_core.vectorstores import InMemoryVectorStore\n", - "from langchain_core.prompts import ChatPromptTemplate\n", - "from langchain_core.runnables import RunnableConfig\n", - "from langchain_core.tools import tool\n", - "from langchain_core.messages import get_buffer_string\n", - "\n", - "from langgraph.graph import StateGraph, MessagesState, START, END\n", - "from langgraph.checkpoint.memory import MemorySaver\n", - "from langgraph.store.base import BaseStore\n", - "from langgraph.store.memory import InMemoryStore\n", - "from langgraph.prebuilt import ToolNode" - ] - }, - { - "cell_type": "markdown", - "id": "e032423c-f7d8-4ee1-8313-bf49a6129d44", - "metadata": {}, - "source": [ - "## Define for memories" - ] - }, - { - "cell_type": "markdown", - "id": "7d4ccb43-bf32-4a1d-89ae-22826adbe860", - "metadata": {}, - "source": [ - "First, let's define two stores where we will be storing our memories.\n", - "\n", - "* core memories will be stored as strings and will be always included when generating model response\n", - "* recall memories will be stored as embeddings and later looked up based on the conversation context. We will be using an in-memory vectorstore." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "74ddc1d5-903e-4c1f-969e-f2dc7328823c", - "metadata": {}, - "outputs": [], - "source": [ - "core_memory_store = InMemoryStore()\n", - "recall_vector_store = InMemoryVectorStore(OpenAIEmbeddings())" - ] - }, - { - "cell_type": "markdown", - "id": "6338ccb4-2810-4f7a-9592-27a23c263d6f", - "metadata": {}, - "source": [ - "### Define tools" - ] - }, - { - "cell_type": "markdown", - "id": "b084b78f-639f-4caf-869b-7fcb93dae813", - "metadata": {}, - "source": [ - "Next, let's define our memory tools. We will need a tool to store the memories and another tool to search them to find the most relevant memory." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "a1d29985-7276-4a93-80b6-dc7217e57a0e", - "metadata": {}, - "outputs": [], - "source": [ - "import uuid\n", - "\n", - "\n", - "def get_user_id(config: RunnableConfig) -> str:\n", - " user_id = config[\"configurable\"].get(\"user_id\")\n", - " if user_id is None:\n", - " raise ValueError(\"User ID needs to be provided to save a memory.\")\n", - "\n", - " return user_id\n", - "\n", - "\n", - "@tool\n", - "def save_core_memory(\n", - " memory: str, index: Optional[int] = None, config: RunnableConfig = None\n", - ") -> str:\n", - " \"\"\"Store a core memory in the database.\n", - "\n", - " Args:\n", - " memory (str): The memory to store.\n", - " index (Optional[int]): The index at which to store the memory.\n", - "\n", - " Returns:\n", - " str: Stored memory.\n", - " \"\"\"\n", - " user_id = get_user_id(config)\n", - " memories = core_memory_store.search((\"memories\", user_id))\n", - " if index is not None:\n", - " if index < 0 or index >= len(memories):\n", - " return \"Error: Index out of bounds.\"\n", - " memory_key = memories[index].key\n", - " else:\n", - " memory_key = str(uuid.uuid4())\n", - "\n", - " core_memory_store.put((\"memories\", user_id), memory_key, {\"memory\": memory})\n", - " return memory\n", - "\n", - "\n", - "@tool\n", - "def save_recall_memory(memory: str, config: RunnableConfig) -> str:\n", - " \"\"\"Save memory to vectorstore for later semantic retrieval.\"\"\"\n", - " user_id = get_user_id(config)\n", - " document = Document(\n", - " page_content=memory, id=str(uuid.uuid4()), metadata={\"user_id\": user_id}\n", - " )\n", - " recall_vector_store.add_documents([document])\n", - " return memory\n", - "\n", - "\n", - "@tool\n", - "def search_recall_memories(query: str, config: RunnableConfig) -> List[str]:\n", - " \"\"\"Search for relevant memories.\"\"\"\n", - " user_id = get_user_id(config)\n", - "\n", - " def _filter_function(doc: Document) -> bool:\n", - " return doc.metadata.get(\"user_id\") == user_id\n", - "\n", - " documents = recall_vector_store.similarity_search(\n", - " query, k=3, filter=_filter_function\n", - " )\n", - " return [document.page_content for document in documents]" - ] - }, - { - "cell_type": "markdown", - "id": "b19a1a9f-e5ab-4d4a-9571-d8ac29420e09", - "metadata": {}, - "source": [ - "Additionally, let's give our agent ability to search the web using [Tavily](https://tavily.com/)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "f41baaf4-b71a-47a9-8c38-fbc604d932ee", - "metadata": {}, - "outputs": [], - "source": [ - "search = TavilySearchResults(max_results=1)\n", - "tools = [save_core_memory, save_recall_memory, search_recall_memories, search]" - ] - }, - { - "cell_type": "markdown", - "id": "853242a2-6ae1-4427-9f31-6041cb72833d", - "metadata": {}, - "source": [ - "### Define state, nodes and edges" - ] - }, - { - "cell_type": "markdown", - "id": "0038574b-738a-4ace-b620-60eca665e5a5", - "metadata": {}, - "source": [ - "Our graph state will contain just two channels -- `messages` for keeping track of the chat history and `recall_memories` -- contextual memories that will be pulled in before calling the agent and passed to the agent's system prompt." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "0767095b-7d17-4c18-afeb-ed6ec74d215f", - "metadata": {}, - "outputs": [], - "source": [ - "class State(MessagesState):\n", - " # add memories that will be retrieved based on the conversation context\n", - " recall_memories: List[str]" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "64144945-b7d9-4202-a567-bc1a48d7e5b8", - "metadata": {}, - "outputs": [], - "source": [ - "# Define the prompt template for the agent\n", - "prompt = ChatPromptTemplate.from_messages(\n", - " [\n", - " (\n", - " \"system\",\n", - " \"You are a helpful assistant with advanced long-term memory\"\n", - " \" capabilities. Powered by a stateless LLM, you must rely on\"\n", - " \" external memory to store information between conversations.\"\n", - " \" Utilize the available memory tools to store and retrieve\"\n", - " \" important details that will help you better attend to the user's\"\n", - " \" needs and understand their context.\\n\\n\"\n", - " \"Memory Usage Guidelines:\\n\"\n", - " \"1. Actively use memory tools (save_core_memory, save_recall_memory)\"\n", - " \" to build a comprehensive understanding of the user.\\n\"\n", - " \"2. Make informed suppositions and extrapolations based on stored\"\n", - " \" memories.\\n\"\n", - " \"3. Regularly reflect on past interactions to identify patterns and\"\n", - " \" preferences.\\n\"\n", - " \"4. Update your mental model of the user with each new piece of\"\n", - " \" information.\\n\"\n", - " \"5. Cross-reference new information with existing memories for\"\n", - " \" consistency.\\n\"\n", - " \"6. Prioritize storing emotional context and personal values\"\n", - " \" alongside facts.\\n\"\n", - " \"7. Use memory to anticipate needs and tailor responses to the\"\n", - " \" user's style.\\n\"\n", - " \"8. Recognize and acknowledge changes in the user's situation or\"\n", - " \" perspectives over time.\\n\"\n", - " \"9. Leverage memories to provide personalized examples and\"\n", - " \" analogies.\\n\"\n", - " \"10. Recall past challenges or successes to inform current\"\n", - " \" problem-solving.\\n\\n\"\n", - " \"## Core Memories\\n\"\n", - " \"Core memories are fundamental to understanding the user and are\"\n", - " \" always available:\\n{core_memories}\\n\\n\"\n", - " \"## Recall Memories\\n\"\n", - " \"Recall memories are contextually retrieved based on the current\"\n", - " \" conversation:\\n{recall_memories}\\n\\n\"\n", - " \"## Instructions\\n\"\n", - " \"Engage with the user naturally, as a trusted colleague or friend.\"\n", - " \" There's no need to explicitly mention your memory capabilities.\"\n", - " \" Instead, seamlessly incorporate your understanding of the user\"\n", - " \" into your responses. Be attentive to subtle cues and underlying\"\n", - " \" emotions. Adapt your communication style to match the user's\"\n", - " \" preferences and current emotional state. Use tools to persist\"\n", - " \" information you want to retain in the next conversation. If you\"\n", - " \" do call tools, all text preceding the tool call is an internal\"\n", - " \" message. Respond AFTER calling the tool, once you have\"\n", - " \" confirmation that the tool completed successfully.\"\n", - " \" REMEMBER: Use save_core_memories for key information like name, location, etc.\\n\\n\",\n", - " ),\n", - " (\"placeholder\", \"{messages}\"),\n", - " ]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "09b37846-11c7-4f79-af53-69584969ab16", - "metadata": {}, - "outputs": [], - "source": [ - "model = ChatOpenAI(model_name=\"gpt-4o\")\n", - "model_with_tools = model.bind_tools(tools, parallel_tool_calls=False)\n", - "\n", - "tokenizer = tiktoken.encoding_for_model(\"gpt-4o\")\n", - "\n", - "\n", - "def agent(state: State, config: RunnableConfig, *, store: BaseStore) -> State:\n", - " \"\"\"Process the current state and generate a response using the LLM.\n", - "\n", - " Args:\n", - " state (schemas.State): The current state of the conversation.\n", - " config (RunnableConfig): The runtime configuration for the agent.\n", - " store (BaseStore): the Store object the graph was compiled with\n", - "\n", - " Returns:\n", - " schemas.State: The updated state with the agent's response.\n", - " \"\"\"\n", - " bound = prompt | model_with_tools\n", - " # we can directly load core memories from the store parameter passed to the `agent` node\n", - " user_id = get_user_id(config)\n", - " core_memories = [\n", - " item.value[\"memory\"] for item in core_memory_store.search((\"memories\", user_id))\n", - " ]\n", - " core_str = \"\\n\" + \"\\n\".join(core_memories) + \"\\n\"\n", - " recall_str = (\n", - " \"\\n\" + \"\\n\".join(state[\"recall_memories\"]) + \"\\n\"\n", - " )\n", - " prediction = bound.invoke(\n", - " {\n", - " \"messages\": state[\"messages\"],\n", - " \"recall_memories\": recall_str,\n", - " \"core_memories\": core_str,\n", - " }\n", - " )\n", - " return {\n", - " \"messages\": [prediction],\n", - " }\n", - "\n", - "\n", - "def load_memories(state: State, config: RunnableConfig) -> State:\n", - " \"\"\"Load memories for the current conversation.\n", - "\n", - " Args:\n", - " state (schemas.State): The current state of the conversation.\n", - " config (RunnableConfig): The runtime configuration for the agent.\n", - "\n", - " Returns:\n", - " State: The updated state with loaded memories.\n", - " \"\"\"\n", - " convo_str = get_buffer_string(state[\"messages\"])\n", - " convo_str = tokenizer.decode(tokenizer.encode(convo_str)[:2048])\n", - " recall_memories = search_recall_memories.invoke(convo_str, config)\n", - " return {\n", - " \"recall_memories\": recall_memories,\n", - " }\n", - "\n", - "\n", - "def route_tools(state: State):\n", - " \"\"\"Determine whether to use tools or end the conversation based on the last message.\n", - "\n", - " Args:\n", - " state (schemas.State): The current state of the conversation.\n", - "\n", - " Returns:\n", - " Literal[\"tools\", \"__end__\"]: The next step in the graph.\n", - " \"\"\"\n", - " msg = state[\"messages\"][-1]\n", - " if msg.tool_calls:\n", - " return \"tools\"\n", - "\n", - " return END" - ] - }, - { - "cell_type": "markdown", - "id": "854c9825-6ccf-450d-bc0f-88cf16ac5442", - "metadata": {}, - "source": [ - "## Build the graph" - ] - }, - { - "cell_type": "markdown", - "id": "4f1aa06c-69b0-4f86-94bc-6be588c9a778", - "metadata": {}, - "source": [ - "Our agent graph is going to be very similar to simple [ReAct agent](https://langchain-ai.github.io/langgraph/reference/prebuilt/#create_react_agent). The only important modification is adding a node to load memories BEFORE calling the agent for the first time." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "6122f234-3be0-48a8-960b-011fa2a6ce6f", - "metadata": {}, - "outputs": [], - "source": [ - "# Create the graph and add nodes\n", - "builder = StateGraph(State)\n", - "builder.add_node(load_memories)\n", - "builder.add_node(agent)\n", - "builder.add_node(\"tools\", ToolNode(tools))\n", - "\n", - "# Add edges to the graph\n", - "builder.add_edge(START, \"load_memories\")\n", - "builder.add_edge(\"load_memories\", \"agent\")\n", - "builder.add_conditional_edges(\"agent\", route_tools, path_map=[\"tools\", END])\n", - "builder.add_edge(\"tools\", \"agent\")\n", - "\n", - "# Compile the graph\n", - "memory = MemorySaver()\n", - "# Note that we're compiling the graph with our core memory store object\n", - "graph = builder.compile(checkpointer=memory, store=core_memory_store)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "d587a860-9859-4cf3-be01-4e7e17d64190", - "metadata": {}, - "outputs": [ - { - "data": { - "image/jpeg": 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from IPython.display import display, Image\n", - "\n", - "display(Image(graph.get_graph().draw_mermaid_png()))" - ] - }, - { - "cell_type": "markdown", - "id": "898c7a41-571a-45cb-b1d7-990c361b26da", - "metadata": {}, - "source": [ - "## Run the agent!" - ] - }, - { - "cell_type": "markdown", - "id": "812f0d36-9966-47dd-8bd4-5341eb219525", - "metadata": {}, - "source": [ - "Let's run the agent for the first time and tell it some information about the user!" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "2f815342-e79a-479d-a43d-e4c0225f26b4", - "metadata": {}, - "outputs": [], - "source": [ - "def pretty_print_stream_chunk(chunk):\n", - " for node, updates in chunk.items():\n", - " print(f\"Update from node: {node}\")\n", - " if \"messages\" in updates:\n", - " updates[\"messages\"][-1].pretty_print()\n", - " else:\n", - " print(updates)\n", - "\n", - " print(\"\\n\")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ead8ea5e-76db-47ea-81e1-2582fcd033c9", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': []}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "Tool Calls:\n", - " save_core_memory (call_MftjuCuEsPlCzxbJ9dItXUjb)\n", - " Call ID: call_MftjuCuEsPlCzxbJ9dItXUjb\n", - " Args:\n", - " memory: The user's name is John.\n", - "\n", - "\n", - "Update from node: tools\n", - "=================================\u001b[1m Tool Message \u001b[0m=================================\n", - "Name: save_core_memory\n", - "\n", - "The user's name is John.\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Hi John! How can I assist you today?\n", - "\n", - "\n" - ] - } - ], - "source": [ - "# NOTE: we're specifying `user_id` to save memories for a given user\n", - "config = {\"configurable\": {\"user_id\": \"1\", \"thread_id\": \"1\"}}\n", - "\n", - "for chunk in graph.stream({\"messages\": [(\"user\", \"my name is John\")]}, config=config):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "markdown", - "id": "fb1132d8-4a1a-4fa1-8dc9-7da220f16710", - "metadata": {}, - "source": [ - "You can see that the agent saved the memory about user's name. Let's add some more information about the user!" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "bb972962-5cbb-4273-b9b8-80810b55ff46", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': []}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "Tool Calls:\n", - " save_recall_memory (call_Vk56Vz47zqYYjJLmjYBJIiur)\n", - " Call ID: call_Vk56Vz47zqYYjJLmjYBJIiur\n", - " Args:\n", - " memory: John loves pizza.\n", - "\n", - "\n", - "Update from node: tools\n", - "=================================\u001b[1m Tool Message \u001b[0m=================================\n", - "Name: save_recall_memory\n", - "\n", - "John loves pizza.\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Pizza is amazing! Do you have a favorite topping or style?\n", - "\n", - "\n" - ] - } - ], - "source": [ - "for chunk in graph.stream({\"messages\": [(\"user\", \"i love pizza\")]}, config=config):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "0868024d-bf69-40f6-8fc8-c04607443aa5", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': ['John loves pizza.']}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "Tool Calls:\n", - " save_recall_memory (call_gTo3Oik1DsSFL0udsC4lMgFe)\n", - " Call ID: call_gTo3Oik1DsSFL0udsC4lMgFe\n", - " Args:\n", - " memory: John's favorite pizza topping is pepperoni.\n", - "\n", - "\n", - "Update from node: tools\n", - "=================================\u001b[1m Tool Message \u001b[0m=================================\n", - "Name: save_recall_memory\n", - "\n", - "John's favorite pizza topping is pepperoni.\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Pepperoni is a classic choice! Do you have a favorite place to get your pepperoni pizza from?\n", - "\n", - "\n" - ] - } - ], - "source": [ - "for chunk in graph.stream(\n", - " {\"messages\": [(\"user\", \"yes -- pepperoni!\")]},\n", - " config={\"configurable\": {\"user_id\": \"1\", \"thread_id\": \"1\"}},\n", - "):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "196c2fc5-34e8-4f42-90b0-60d2dd747203", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': ['John loves pizza.', \"John's favorite pizza topping is pepperoni.\"]}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "Tool Calls:\n", - " save_core_memory (call_3pFUPG3nZl1CCD78zExWpDAP)\n", - " Call ID: call_3pFUPG3nZl1CCD78zExWpDAP\n", - " Args:\n", - " memory: John has just moved to New York.\n", - "\n", - "\n", - "Update from node: tools\n", - "=================================\u001b[1m Tool Message \u001b[0m=================================\n", - "Name: save_core_memory\n", - "\n", - "John has just moved to New York.\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Welcome to New York, John! It's a fantastic place for pizza lovers. Have you had a chance to explore any of the local pizzerias yet?\n", - "\n", - "\n" - ] - } - ], - "source": [ - "for chunk in graph.stream(\n", - " {\"messages\": [(\"user\", \"i also just moved to new york\")]},\n", - " config={\"configurable\": {\"user_id\": \"1\", \"thread_id\": \"1\"}},\n", - "):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "markdown", - "id": "d0880c6c-5111-4fe5-9e25-1ffd6ef756c5", - "metadata": {}, - "source": [ - "Now we can use the saved information about our user on a different thread. Let's try it out:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "d503c838-f280-49c1-871f-b02b36a9904e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': ['John loves pizza.', \"John's favorite pizza topping is pepperoni.\"]}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "New York has an incredible dining scene with a variety of options. Since you love pizza, I’d suggest trying out one of the city's renowned pizzerias. Here are a few recommendations:\n", - "\n", - "1. **Lucali** in Brooklyn – Known for its delicious thin-crust pizza.\n", - "2. **Joe's Pizza** in Greenwich Village – A classic spot for a quintessential New York slice.\n", - "3. **Prince Street Pizza** in SoHo – Famous for their pepperoni square slices.\n", - "\n", - "If you’re in the mood for something else, let me know your preferences, and I can suggest other types of cuisine!\n", - "\n", - "\n" - ] - } - ], - "source": [ - "config = {\"configurable\": {\"user_id\": \"1\", \"thread_id\": \"2\"}}\n", - "\n", - "for chunk in graph.stream(\n", - " {\"messages\": [(\"user\", \"where should i go for dinner?\")]}, config=config\n", - "):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "markdown", - "id": "247e2634-7120-4de3-b1d5-a16c2d1e611e", - "metadata": {}, - "source": [ - "Notice how the agent is loading the most relevant memories before answering, and in our case suggests the dinner recommendations based on both the food preferences as well as location.\n", - "\n", - "Finally, let's use the search tool together with the rest of the conversation context and memory to find location of a pizzeria:" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "d235dbb3-3d5b-4206-888b-fef628241b14", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': ['John loves pizza.', \"John's favorite pizza topping is pepperoni.\"]}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "Tool Calls:\n", - " tavily_search_results_json (call_f3dO9WXEDDECRPpYMcIIryzo)\n", - " Call ID: call_f3dO9WXEDDECRPpYMcIIryzo\n", - " Args:\n", - " query: Joe's Pizza Greenwich Village address\n", - "\n", - "\n", - "Update from node: tools\n", - "=================================\u001b[1m Tool Message \u001b[0m=================================\n", - "Name: tavily_search_results_json\n", - "\n", - "[{\"url\": \"https://www.joespizzanyc.com/locations-1-1\", \"content\": \"Joe's Pizza Greenwich Village (Original Location) 7 Carmine Street New York, NY 10014 ... Joe's Pizza Michigan 1107 S University Ave Ann Arbor, MI 48104 (734) 213-5625. ORDER JOE'S MICHIGAN Joe's Pizza Miami 234 NW 25th Street Miami, FL 33127 (786) 230-1441 ...\"}]\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Joe's Pizza in Greenwich Village is located at:\n", - "\n", - "**7 Carmine Street, New York, NY 10014**\n", - "\n", - "Enjoy your pizza! Let me know if there's anything else you need.\n", - "\n", - "\n" - ] - } - ], - "source": [ - "for chunk in graph.stream(\n", - " {\"messages\": [(\"user\", \"what's the address for joe's in greenwich village?\")]},\n", - " config=config,\n", - "):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "markdown", - "id": "0449b949-e7ea-4273-8194-b64751d764c6", - "metadata": {}, - "source": [ - "If you were to pass a different user ID, the agent's response will not be personalized as we haven't saved any information about the other user:" - ] - }, - { - "cell_type": "markdown", - "id": "260b0ee3-107f-4bcc-8ef2-edeab4fe11b5", - "metadata": {}, - "source": [ - "## Adding structured memories\n", - "\n", - "So far we've represented memories as strings, e.g., `\"John loves pizza\"`. This is a natural representation when persisting memories to a vector store. If your use-case would benefit from other persistence backends -- such as a graph database -- we can update our application to generate memories with additional structure.\n", - "\n", - "Below, we update the `save_recall_memory` tool to accept a list of \"knowledge triples\", or 3-tuples with a `subject`, `predicate`, and `object`, suitable for storage in a knolwedge graph. Our model will then generate these representations as part of its tool calls.\n", - "\n", - "For simplicity, we use the same vector database as before, but the `save_recall_memory` and `search_recall_memories` tools could be further updated to interact with a graph database. For now, we only need to update the `save_recall_memory` tool:" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "1e1569ef-1c00-46be-9616-1f046c38e74f", - "metadata": {}, - "outputs": [], - "source": [ - "recall_vector_store = InMemoryVectorStore(OpenAIEmbeddings())" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "60ca4cf7-a16a-4f5c-8ca5-4974bcc6bbc8", - "metadata": {}, - "outputs": [], - "source": [ - "from typing_extensions import TypedDict\n", - "\n", - "\n", - "class KnowledgeTriple(TypedDict):\n", - " subject: str\n", - " predicate: str\n", - " object_: str\n", - "\n", - "\n", - "@tool\n", - "def save_recall_memory(memories: List[KnowledgeTriple], config: RunnableConfig) -> str:\n", - " \"\"\"Extract structured memories about entities and their relationships and save for later semantic retrieval. Use actual entity names.\"\"\"\n", - " user_id = get_user_id(config)\n", - " for memory in memories:\n", - " serialized = \" \".join(memory.values())\n", - " document = Document(\n", - " serialized,\n", - " id=str(uuid.uuid4()),\n", - " metadata={\n", - " \"user_id\": user_id,\n", - " **memory,\n", - " },\n", - " )\n", - " recall_vector_store.add_documents([document])\n", - " return memories" - ] - }, - { - "cell_type": "markdown", - "id": "b171ba75-bbf1-4474-a1db-2333a05a5da7", - "metadata": {}, - "source": [ - "We can then compile the graph exactly as before:" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "93bedf95-36ca-42d9-b2b6-bfcb1f7a1cf2", - "metadata": {}, - "outputs": [], - "source": [ - "tools = [save_core_memory, save_recall_memory, search_recall_memories, search]\n", - "model_with_tools = model.bind_tools(tools, parallel_tool_calls=False)\n", - "\n", - "\n", - "# Create the graph and add nodes\n", - "builder = StateGraph(State)\n", - "builder.add_node(load_memories)\n", - "builder.add_node(agent)\n", - "builder.add_node(\"tools\", ToolNode(tools))\n", - "\n", - "# Add edges to the graph\n", - "builder.add_edge(START, \"load_memories\")\n", - "builder.add_edge(\"load_memories\", \"agent\")\n", - "builder.add_conditional_edges(\"agent\", route_tools, path_map=[\"tools\", END])\n", - "builder.add_edge(\"tools\", \"agent\")\n", - "\n", - "# Compile the graph\n", - "memory = MemorySaver()\n", - "graph = builder.compile(checkpointer=memory)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "7d3491af-81b2-4994-8754-7f07b8b8fc7a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': []}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "Tool Calls:\n", - " save_core_memory (call_lE7WqLutgtLKgJykydZbyxk2)\n", - " Call ID: call_lE7WqLutgtLKgJykydZbyxk2\n", - " Args:\n", - " memory: The user's name is Alice.\n", - "\n", - "\n", - "Update from node: tools\n", - "=================================\u001b[1m Tool Message \u001b[0m=================================\n", - "Name: save_core_memory\n", - "\n", - "The user's name is Alice.\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Hi Alice! How can I assist you today?\n", - "\n", - "\n" - ] - } - ], - "source": [ - "config = {\"configurable\": {\"user_id\": \"3\", \"thread_id\": \"1\"}}\n", - "\n", - "for chunk in graph.stream({\"messages\": [(\"user\", \"Hi, I'm Alice.\")]}, config=config):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "markdown", - "id": "b3c3c337-c48e-430d-a336-204b6904015d", - "metadata": {}, - "source": [ - "Note that the application elects to extract knowledge-triples from the user's statements:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "846a9971-ff7e-4c86-b5dc-153bc4aac692", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': []}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "Tool Calls:\n", - " save_recall_memory (call_mrbRySXKtpz230gUkXdf5iU9)\n", - " Call ID: call_mrbRySXKtpz230gUkXdf5iU9\n", - " Args:\n", - " memories: [{'subject': 'John', 'predicate': 'likes', 'object_': 'Pizza'}, {'subject': 'Alice', 'predicate': 'has a friend', 'object_': 'John'}]\n", - "\n", - "\n", - "Update from node: tools\n", - "=================================\u001b[1m Tool Message \u001b[0m=================================\n", - "Name: save_recall_memory\n", - "\n", - "[{\"subject\": \"John\", \"predicate\": \"likes\", \"object_\": \"Pizza\"}, {\"subject\": \"Alice\", \"predicate\": \"has a friend\", \"object_\": \"John\"}]\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Got it! What's on your mind about John and his love for pizza?\n", - "\n", - "\n" - ] - } - ], - "source": [ - "for chunk in graph.stream(\n", - " {\"messages\": [(\"user\", \"My friend John likes Pizza.\")]}, config=config\n", - "):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "markdown", - "id": "209a49b7-c015-42f9-9066-83e308c63a56", - "metadata": {}, - "source": [ - "As before, the memories generated from one thread are accessed in another thread from the same user:" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "c0cfc5d9-c69d-4839-990b-5edf004dd8b7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Update from node: load_memories\n", - "{'recall_memories': ['John likes Pizza', 'Alice has a friend John']}\n", - "\n", - "\n", - "Update from node: agent\n", - "==================================\u001b[1m Ai Message \u001b[0m==================================\n", - "\n", - "Since John likes pizza, bringing pizza to his party would likely be a hit. If you want to mix it up a bit, you could also consider bringing a variety of toppings or different styles of pizza to cater to different tastes. \n", - "\n", - "Would you like some additional ideas or suggestions for alternatives?\n", - "\n", - "\n" - ] - } - ], - "source": [ - "config = {\"configurable\": {\"user_id\": \"3\", \"thread_id\": \"2\"}}\n", - "\n", - "for chunk in graph.stream(\n", - " {\"messages\": [(\"user\", \"What food should I bring to John's party?\")]}, config=config\n", - "):\n", - " pretty_print_stream_chunk(chunk)" - ] - }, - { - "cell_type": "markdown", - "id": "5227e196-6418-4af4-bc05-fb9c339148cd", - "metadata": {}, - "source": [ - "Optionally, for illustrative purposes we can visualize the knowledge graph extracted by the model:" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "8ad4d11a-b0cf-4720-b901-3d501365c033", - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -U --quiet matplotlib networkx" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "0eae5dbd-962f-48ed-9c7c-172fae9cadda", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import networkx as nx\n", - "import matplotlib.pyplot as plt\n", - "\n", - "\n", - "# Fetch records\n", - "records = recall_vector_store.similarity_search(\n", - " \"Alice\", k=2, filter=lambda doc: doc.metadata[\"user_id\"] == \"3\"\n", - ")\n", - "\n", - "\n", - "# Plot graph\n", - "plt.figure(figsize=(6, 4), dpi=80)\n", - "G = nx.DiGraph()\n", - "\n", - "for record in records:\n", - " G.add_edge(\n", - " record.metadata[\"subject\"],\n", - " record.metadata[\"object_\"],\n", - " label=record.metadata[\"predicate\"],\n", - " )\n", - "\n", - "pos = nx.spring_layout(G)\n", - "nx.draw(\n", - " G,\n", - " pos,\n", - " with_labels=True,\n", - " node_size=3000,\n", - " node_color=\"lightblue\",\n", - " font_size=10,\n", - " font_weight=\"bold\",\n", - " arrows=True,\n", - ")\n", - "edge_labels = nx.get_edge_attributes(G, \"label\")\n", - "nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels, font_color=\"red\")\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index 838f2d848..20c60d863 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -118,8 +118,6 @@ nav: - Reflexion: tutorials/reflexion/reflexion.ipynb - Language Agent Tree Search: tutorials/lats/lats.ipynb - Self-Discover Agent: tutorials/self-discover/self-discover.ipynb - - Memory: - - Long-term memory: tutorials/memory/long_term_memory_agent.ipynb - Evaluation & Analysis: - Chatbot Evaluation via Simulation: - Agent-based: tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb