feat: Add support for gpt-4o model (#2589)

This pull request adds support for the gpt-4o model to the existing
codebase. It includes changes to the BrainConfig, openAiFreeModels,
defineMaxTokens, model_compatible_with_function_calling, create_graph,
main, and process_assistant functions.

Pipfile.lock

@@ -279,21 +279,21 @@
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+            "version": "==1.34.104"
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         "cachetools": {
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@@ -518,11 +518,11 @@
         },
         "cohere": {
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+            "version": "==5.4.0"
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@@ -663,11 +663,11 @@
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@@ -1760,12 +1760,12 @@
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@@ -1819,12 +1819,12 @@
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+            "version": "==2.30.0"
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@@ -1837,11 +1837,11 @@
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+            "version": "==0.1.57"
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@@ -1857,12 +1857,12 @@
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+            "version": "==1.37.5"
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@@ -1873,12 +1873,12 @@
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@@ -1898,11 +1898,11 @@
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         "llama-index-core": {
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@@ -1930,19 +1930,19 @@
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@@ -1998,163 +1998,147 @@
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+                "sha256:304e7e2418146ae4d0ef0e9ffa28f881f7874b45b4994cc2279b21b6e7ae50c8",
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+                "sha256:334b79ce9c08f26b4659a53f42892793948a613c46f1b583e985fd5a6bf1c149",
+                "sha256:33d19f0cde6838c81acffff25c7708e4adc7dd02896c9ec25c3939b1500a1778",
+                "sha256:3799e36d60a35162bb35b2246d8bb012192b7437dff807ef79c14e7352706306",
+                "sha256:42be5de7cc8c1edac55db92d82b68dc8e683b204d6f5414c5a51997a323d7081",
+                "sha256:44b3267cea873684af022822195298501568ed44d542f9a2d9bebc0212e99069",
+                "sha256:458d68d34fb74b906709735c927c029e62f7d06437a98af1b5b6258025223210",
+                "sha256:45cc13d398b6359a7708986386f72bd156ae781c3e83a68a6d4cee5af04b1ce9",
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+                "sha256:4fad420b14ae1970a1f322e8ae84a1d9d89375eb71e1b504060ab2d1bfe68f3c",
+                "sha256:504b5116e2bd1821efd815941edff7535e93372a098e156bb9dffde30264e798",
+                "sha256:50e7e96a527488334379e05755b210b7da4a60fc5d6481938c1fa053e0c92184",
+                "sha256:51d27844763c273a122e08a3e86e7aefa54ee09fb672d96a645ece0454d8425e",
+                "sha256:5253dcb0bfda7214523de58b002eb0090cb530d7c55993ce5f6d17faf953ece7",
+                "sha256:534efd2653ebc4f26fc0e47234e53bf0cb4715bb61f98c64d2774a278b58c846",
+                "sha256:560278c9975694e1f0bc50da187abf2cdc1e4890739ea33df2bc4a85eeef143e",
+                "sha256:571452362d552de508c37191b6abbbb660028b8b418e2d68c20779e0bc8eaaa8",
+                "sha256:62b5f7910b639f3c1d122d408421317c351e213ca39c964ad4121f27916631c6",
+                "sha256:696639a73ca78a380acfaa0a1f6dd8220616a99074c05bba9ba8bb916914b224",
+                "sha256:6ccdeef4584450b6f0bddd5135354908dacad95425fcb629fe36d13e48b60f32",
+                "sha256:70364a097437dd0a90b31cd77f09f7387ad9ac60ef57590971f43b7fca3082a5",
+                "sha256:7117cb7d6ac7f2e985f3d18aa8a1728864097da1a677ffa69e970ca215baebf1",
+                "sha256:7467ad8b0eac0b28e52679e972b9b234b3de0ea5cee12eb50091d2b68145fe36",
+                "sha256:7d35d4cc9270944e95f9c88af757b0c9fc43f396917e143a5756608462c5223b",
+                "sha256:7dda3091838206969c2b286f9832dff41e2da545b99d1cfaea9ebd8584d02708",
+                "sha256:853cc36e756ff673bf984e9044ccc8fad60b95a748915dddeab9488aea974c73",
+                "sha256:8722f72068b3e1156a4b2e1afde6810f1fc67155a9fa30a4b9d5b4bc46f18fb0",
+                "sha256:8c6c71cf92b09e5faa72ea2c68aa1f61c9ce11cb66fdc5069d712f4392ddfd00",
+                "sha256:903350bf44d7e4116b4d5898b30b15755d61dcd3161e3413a49c7db76f0bee5a",
+                "sha256:91b53dea84415e8115506cc62e441a2b54537359c63d856d73cb1abe05af4c9a",
+                "sha256:951be1eae7b47660412dc4938777a975ebc41936d64e28081bf2e584b47ec246",
+                "sha256:972b49f2fe1047b9249c958ec4fa1bdd2cf8ce305dc19d27546d5a38e57732d8",
+                "sha256:9a8625849387b9d558d528e263ecc9c0fbde86cfa5c2f0eef43fff480ae24d71",
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+                "sha256:9e6d4d6ae1827b2f8c7200aaf7501c37cf3f3896c86a6aaf2566448397c823dd",
+                "sha256:aab65121229c2ecdf4a31b793d99a6a0501225bd39b616e653c87b219ed34a49",
+                "sha256:ab98016541543692a37905871a5ffca59b16e08aacc3d7d10a27297b443f572d",
+                "sha256:ad45f3bccfcb00868f2871dce02a755529838d2b86163ab8a246115e80cfb7d6",
+                "sha256:b43b78f9386d3d932a6ce5af4b45f393d2e93693ee18dc4800d30a8909df700e",
+                "sha256:b66421f8878a0c82fc0c272a43e2121c8d4c67cb37429b764f0d5ad70b82993b",
+                "sha256:ba034c8db4b264ef1601eb33cd23d87c5013b8fb48b8161debe2e5d3bd9156b0",
+                "sha256:bbdc5db2c98ac2bf1971ffa1410c87ca7a15800415f788971e8ba8520fc0fda9",
+                "sha256:bc0db93ad039fc2fe32ccd3dd0e0e70c4f3d6e37ae83f0a487e1aba939bd2fbd",
+                "sha256:bf7c8ee4861d9ef5b1120abb75846828c811f932d63311596ad25fa168053e00",
+                "sha256:bf9596cba92ce7b1fd32c7b07c6e3212c7eed0edc271757e48bfcd2b54646452",
+                "sha256:c43395a3b7cc9862801a65c6994678484f186ce13c929abab44fb8a9e473a55a",
+                "sha256:c46a76a599fcbf95f98755275c5527304cc4f1bb69919434c1e15544d7052910",
+                "sha256:ca23b41355ba95929e9505ee04e55495726aa2282003ed9b012d86f857d3e49b",
+                "sha256:cd832bd9b6120d6074f39bdfbb3c80e416848b07ac72910f1c7f03131a6debc3",
+                "sha256:cfa6d61a76c77610ba9274c1a90a453062bdf6887858afbe214d18ad41cf6bde",
+                "sha256:d8a0f0ab5453e409586b11ebe91c672040bc804ca98d03a656825f7890cbdf88",
+                "sha256:e91b1976358e17197157b405cab408a5f4e33310cda211c49fc6da7cffd0b2f0",
+                "sha256:ea057306ab469130167014b662643cfaed84651c792948891d003cf0039223a5",
+                "sha256:eda3dd46df535da787ffb9036b5140f941ecb91701717df91c9daf64cabef953",
+                "sha256:f03b1dbd4d9596dd84955bb40f7d885204d6aac0d56a919bb1e0ff2fb7e1735a",
+                "sha256:fa9335674d7c819674467c7b46154196c51efbaf5f5715187fd366814ba3fa39"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==2024.4.28"
+            "version": "==2024.5.10"
         },
         "requests": {
             "hashes": [
@@ -4363,46 +4347,46 @@
         },
         "tiktoken": {
             "hashes": [
-                "sha256:05b344c61779f815038292a19a0c6eb7098b63c8f865ff205abb9ea1b656030e",
-                "sha256:07f229a5eb250b6403a61200199cecf0aac4aa23c3ecc1c11c1ca002cbb8f159",
-                "sha256:0c1a3a5d33846f8cd9dd3b7897c1d45722f48625a587f8e6f3d3e85080559be8",
-                "sha256:0ef917fad0bccda07bfbad835525bbed5f3ab97a8a3e66526e48cdc3e7beacf7",
-                "sha256:168d718f07a39b013032741867e789971346df8e89983fe3c0ef3fbd5a0b1cb9",
-                "sha256:17cc8a4a3245ab7d935c83a2db6bb71619099d7284b884f4b2aea4c74f2f83e3",
-                "sha256:1ccb7a111ee76af5d876a729a347f8747d5ad548e1487eeea90eaf58894b3138",
-                "sha256:1f5f0f2ed67ba16373f9a6013b68da298096b27cd4e1cf276d2d3868b5c7efd1",
-                "sha256:277de84ccd8fa12730a6b4067456e5cf72fef6300bea61d506c09e45658d41ac",
-                "sha256:284aebcccffe1bba0d6571651317df6a5b376ff6cfed5aeb800c55df44c78177",
-                "sha256:293cb8669757301a3019a12d6770bd55bec38a4d3ee9978ddbe599d68976aca7",
-                "sha256:430bc4e650a2d23a789dc2cdca3b9e5e7eb3cd3935168d97d43518cbb1f9a911",
-                "sha256:432aa3be8436177b0db5a2b3e7cc28fd6c693f783b2f8722539ba16a867d0c6a",
-                "sha256:45577faf9a9d383b8fd683e313cf6df88b6076c034f0a16da243bb1c139340c3",
-                "sha256:47fdcfe11bd55376785a6aea8ad1db967db7f66ea81aed5c43fad497521819a4",
-                "sha256:5f1495450a54e564d236769d25bfefbf77727e232d7a8a378f97acddee08c1ae",
-                "sha256:6318b2bb2337f38ee954fd5efa82632c6e5ced1d52a671370fa4b2eff1355e91",
-                "sha256:6c4e4857d99f6fb4670e928250835b21b68c59250520a1941618b5b4194e20c3",
-                "sha256:702950d33d8cabc039845674107d2e6dcabbbb0990ef350f640661368df481bb",
-                "sha256:75af4c0b16609c2ad02581f3cdcd1fb698c7565091370bf6c0cf8624ffaba6dc",
-                "sha256:7bd1a288b7903aadc054b0e16ea78e3171f70b670e7372432298c686ebf9dd47",
-                "sha256:7c1492ab90c21ca4d11cef3a236ee31a3e279bb21b3fc5b0e2210588c4209e68",
-                "sha256:8bfe8a19c8b5c40d121ee7938cd9c6a278e5b97dc035fd61714b4f0399d2f7a1",
-                "sha256:9c44433f658064463650d61387623735641dcc4b6c999ca30bc0f8ba3fccaf5c",
-                "sha256:ac76e000183e3b749634968a45c7169b351e99936ef46f0d2353cd0d46c3118d",
-                "sha256:ace62a4ede83c75b0374a2ddfa4b76903cf483e9cb06247f566be3bf14e6beed",
-                "sha256:afb9a2a866ae6eef1995ab656744287a5ac95acc7e0491c33fad54d053288ad3",
-                "sha256:b2048e1086b48e3c8c6e2ceeac866561374cd57a84622fa49a6b245ffecb7744",
-                "sha256:c62c05b3109fefca26fedb2820452a050074ad8e5ad9803f4652977778177d9f",
-                "sha256:c9f497598b9f58c99cbc0eb764b4a92272c14d5203fc713dd650b896a03a50ad",
-                "sha256:cefb9870fb55dca9e450e54dbf61f904aab9180ff6fe568b61f4db9564e78871",
-                "sha256:e095131ab6092d0769a2fda85aa260c7c383072daec599ba9d8b149d2a3f4d8b",
-                "sha256:e2b380c5b7751272015400b26144a2bab4066ebb8daae9c3cd2a92c3b508fe5a",
-                "sha256:e65e8bd6f3f279d80f1e1fbd5f588f036b9a5fa27690b7f0cc07021f1dfa0839",
-                "sha256:e8d49d076058f23254f2aff9af603863c5c5f9ab095bc896bceed04f8f0b013a",
-                "sha256:fb7d2ccbf1a7784810aff6b80b4012fb42c6fc37eaa68cb3b553801a5cc2d1fc"
+                "sha256:03c6c40ff1db0f48a7b4d2dafeae73a5607aacb472fa11f125e7baf9dce73704",
+                "sha256:084cec29713bc9d4189a937f8a35dbdfa785bd1235a34c1124fe2323821ee93f",
+                "sha256:09ed925bccaa8043e34c519fbb2f99110bd07c6fd67714793c21ac298e449410",
+                "sha256:0bc603c30b9e371e7c4c7935aba02af5994a909fc3c0fe66e7004070858d3f8f",
+                "sha256:1063c5748be36344c7e18c7913c53e2cca116764c2080177e57d62c7ad4576d1",
+                "sha256:1077266e949c24e0291f6c350433c6f0971365ece2b173a23bc3b9f9defef6b6",
+                "sha256:10c7674f81e6e350fcbed7c09a65bca9356eaab27fb2dac65a1e440f2bcfe30f",
+                "sha256:131b8aeb043a8f112aad9f46011dced25d62629091e51d9dc1adbf4a1cc6aa98",
+                "sha256:13c94efacdd3de9aff824a788353aa5749c0faee1fbe3816df365ea450b82311",
+                "sha256:20295d21419bfcca092644f7e2f2138ff947a6eb8cfc732c09cc7d76988d4a89",
+                "sha256:21a20c3bd1dd3e55b91c1331bf25f4af522c525e771691adbc9a69336fa7f702",
+                "sha256:2398fecd38c921bcd68418675a6d155fad5f5e14c2e92fcf5fe566fa5485a858",
+                "sha256:2bcb28ddf79ffa424f171dfeef9a4daff61a94c631ca6813f43967cb263b83b9",
+                "sha256:2ee92776fdbb3efa02a83f968c19d4997a55c8e9ce7be821ceee04a1d1ee149c",
+                "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f",
+                "sha256:54031f95c6939f6b78122c0aa03a93273a96365103793a22e1793ee86da31685",
+                "sha256:5d4511c52caacf3c4981d1ae2df85908bd31853f33d30b345c8b6830763f769c",
+                "sha256:71c55d066388c55a9c00f61d2c456a6086673ab7dec22dd739c23f77195b1908",
+                "sha256:79383a6e2c654c6040e5f8506f3750db9ddd71b550c724e673203b4f6b4b4590",
+                "sha256:811229fde1652fedcca7c6dfe76724d0908775b353556d8a71ed74d866f73f7b",
+                "sha256:861f9ee616766d736be4147abac500732b505bf7013cfaf019b85892637f235e",
+                "sha256:86b6e7dc2e7ad1b3757e8a24597415bafcfb454cebf9a33a01f2e6ba2e663992",
+                "sha256:8a81bac94769cab437dd3ab0b8a4bc4e0f9cf6835bcaa88de71f39af1791727a",
+                "sha256:8c46d7af7b8c6987fac9b9f61041b452afe92eb087d29c9ce54951280f899a97",
+                "sha256:8d57f29171255f74c0aeacd0651e29aa47dff6f070cb9f35ebc14c82278f3b25",
+                "sha256:8e58c7eb29d2ab35a7a8929cbeea60216a4ccdf42efa8974d8e176d50c9a3df5",
+                "sha256:8f5f6afb52fb8a7ea1c811e435e4188f2bef81b5e0f7a8635cc79b0eef0193d6",
+                "sha256:959d993749b083acc57a317cbc643fb85c014d055b2119b739487288f4e5d1cb",
+                "sha256:c72baaeaefa03ff9ba9688624143c858d1f6b755bb85d456d59e529e17234769",
+                "sha256:cabc6dc77460df44ec5b879e68692c63551ae4fae7460dd4ff17181df75f1db7",
+                "sha256:d20b5c6af30e621b4aca094ee61777a44118f52d886dbe4f02b70dfe05c15350",
+                "sha256:d427614c3e074004efa2f2411e16c826f9df427d3c70a54725cae860f09e4bf4",
+                "sha256:d6d73ea93e91d5ca771256dfc9d1d29f5a554b83821a1dc0891987636e0ae226",
+                "sha256:e215292e99cb41fbc96988ef62ea63bb0ce1e15f2c147a61acc319f8b4cbe5bf",
+                "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225",
+                "sha256:fffdcb319b614cf14f04d02a52e26b1d1ae14a570f90e9b55461a72672f7b13d"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.8'",
-            "version": "==0.6.0"
+            "version": "==0.7.0"
         },
         "timm": {
             "hashes": [

backend/modules/assistant/ito/difference.py

@@ -101,7 +101,7 @@ class DifferenceAssistant(ITO):
         document_1_to_langchain = document_1_llama_parsed[0].to_langchain_format()
         document_2_to_langchain = document_2_llama_parsed[0].to_langchain_format()
 
-        llm = ChatLiteLLM(model="gpt-4-turbo-2024-04-09")
+        llm = ChatLiteLLM(model="gpt-4o")
 
         human_prompt = """Given the following two documents, find the difference between them:
 

backend/modules/brain/integrations/GPT4/Brain.py

@@ -166,9 +166,7 @@ class GPT4Brain(KnowledgeBrainQA):
         return app
 
     def get_chain(self):
-        self.function_model = ChatOpenAI(
-            model="gpt-4-turbo", temperature=0, streaming=True
-        )
+        self.function_model = ChatOpenAI(model="gpt-4o", temperature=0, streaming=True)
 
         self.function_model = self.function_model.bind_tools(self.tools)
 

backend/modules/brain/qa_interface.py

@@ -42,6 +42,7 @@ class QAInterface(ABC):
 
     def model_compatible_with_function_calling(self, model: str):
         if model in [
+            "gpt-4o",
             "gpt-4-turbo",
             "gpt-4-turbo-2024-04-09",
             "gpt-4-turbo-preview",

backend/modules/brain/rags/quivr_rag.py

@@ -4,7 +4,6 @@ from typing import List, Optional
 from uuid import UUID
 
 from langchain.chains import ConversationalRetrievalChain
-from langchain_community.embeddings import OllamaEmbeddings
 from langchain.llms.base import BaseLLM
 from langchain.prompts import HumanMessagePromptTemplate, SystemMessagePromptTemplate
 from langchain.retrievers import ContextualCompressionRetriever
@@ -12,6 +11,7 @@ from langchain.retrievers.document_compressors import FlashrankRerank
 from langchain.schema import format_document
 from langchain_cohere import CohereRerank
 from langchain_community.chat_models import ChatLiteLLM
+from langchain_community.embeddings import OllamaEmbeddings
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate, PromptTemplate
 from langchain_core.pydantic_v1 import BaseModel as BaseModelV1
@@ -136,6 +136,7 @@ class QuivrRAG(BaseModel):
 
     def model_compatible_with_function_calling(self):
         if self.model in [
+            "gpt-4o",
             "gpt-4-turbo",
             "gpt-4-turbo-2024-04-09",
             "gpt-4-turbo-preview",

backend/modules/chat/controller/chat/brainful_chat.py

@@ -34,6 +34,7 @@ models_supporting_function_calls = [
     "gpt-4-0125-preview",
     "gpt-3.5-turbo",
     "gpt-4-turbo",
+    "gpt-4o",
 ]
 
 

backend/requirements.txt

@@ -17,8 +17,8 @@ backoff==2.2.1; python_version >= '3.7' and python_version < '4.0'
 beautifulsoup4==4.12.3; python_full_version >= '3.6.0'
 billiard==4.2.0; python_version >= '3.7'
 black==24.4.2; python_version >= '3.8'
-boto3==1.34.101; python_version >= '3.8'
-botocore==1.34.101; python_version >= '3.8'
+boto3==1.34.104; python_version >= '3.8'
+botocore==1.34.104; python_version >= '3.8'
 cachetools==5.3.3; python_version >= '3.7'
 celery[redis,sqs]==5.4.0; python_version >= '3.8'
 certifi==2024.2.2; python_version >= '3.6'
@@ -29,7 +29,7 @@ click==8.1.7; python_version >= '3.7'
 click-didyoumean==0.3.1; python_full_version >= '3.6.2'
 click-plugins==1.1.1
 click-repl==0.3.0; python_version >= '3.6'
-cohere==5.3.5; python_version >= '3.8' and python_version < '4.0'
+cohere==5.4.0; python_version >= '3.8' and python_version < '4.0'
 coloredlogs==15.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
 colorlog==6.8.2; python_version >= '3.6'
 contourpy==1.2.1; python_version >= '3.9'
@@ -37,7 +37,7 @@ cryptography==42.0.7; python_version >= '3.7'
 cssselect==1.2.0; python_version >= '3.7'
 curl-cffi==0.7.0b4; python_version >= '3.8'
 cycler==0.12.1; python_version >= '3.8'
-dataclasses-json==0.6.5; python_version >= '3.7' and python_version < '4.0'
+dataclasses-json==0.6.6; python_version >= '3.7' and python_version < '4.0'
 datasets==2.19.1; python_full_version >= '3.8.0'
 debugpy==1.8.1; python_version >= '3.8'
 decorator==5.1.1; python_version >= '3.5'
@@ -109,35 +109,35 @@ jsonpath-python==1.0.6; python_version >= '3.6'
 jsonpointer==2.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6'
 kiwisolver==1.4.5; python_version >= '3.7'
 kombu[sqs]==5.3.7; python_version >= '3.8'
-langchain==0.1.19; python_version < '4.0' and python_full_version >= '3.8.1'
+langchain==0.1.20; python_version < '4.0' and python_full_version >= '3.8.1'
 langchain-cohere==0.1.4; python_version < '4.0' and python_full_version >= '3.8.1'
 langchain-community==0.0.38; python_version < '4.0' and python_full_version >= '3.8.1'
 langchain-core==0.1.52; python_version < '4.0' and python_full_version >= '3.8.1'
 langchain-openai==0.1.6; python_version < '4.0' and python_full_version >= '3.8.1'
 langchain-text-splitters==0.0.1; python_version < '4.0' and python_full_version >= '3.8.1'
 langdetect==1.0.9
-langfuse==2.29.3; python_version < '4.0' and python_full_version >= '3.8.1'
+langfuse==2.30.0; python_version < '4.0' and python_full_version >= '3.8.1'
 langgraph==0.0.48; python_version < '4.0' and python_full_version >= '3.9.0'
-langsmith==0.1.56; python_version < '4.0' and python_full_version >= '3.8.1'
+langsmith==0.1.57; python_version < '4.0' and python_full_version >= '3.8.1'
 layoutparser[layoutmodels,tesseract]==0.3.4; python_version >= '3.6'
-litellm==1.36.4; python_version not in '2.7, 3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7' and python_version >= '3.8'
+litellm==1.37.5; python_version not in '2.7, 3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7' and python_version >= '3.8'
 llama-cpp-python==0.2.67; python_version >= '3.8'
-llama-index==0.10.35; python_version < '4.0' and python_full_version >= '3.8.1'
+llama-index==0.10.36; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-agent-openai==0.2.4; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-cli==0.1.12; python_version < '4.0' and python_full_version >= '3.8.1'
-llama-index-core==0.10.35.post1; python_version < '4.0' and python_full_version >= '3.8.1'
+llama-index-core==0.10.36; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-embeddings-openai==0.1.9; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-indices-managed-llama-cloud==0.1.6; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-legacy==0.9.48; python_version < '4.0' and python_full_version >= '3.8.1'
-llama-index-llms-openai==0.1.18; python_version < '4.0' and python_full_version >= '3.8.1'
-llama-index-multi-modal-llms-openai==0.1.5; python_version < '4.0' and python_full_version >= '3.8.1'
+llama-index-llms-openai==0.1.19; python_version < '4.0' and python_full_version >= '3.8.1'
+llama-index-multi-modal-llms-openai==0.1.6; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-program-openai==0.1.6; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-question-gen-openai==0.1.3; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-readers-file==0.1.22; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-index-readers-llama-parse==0.1.4; python_version < '4.0' and python_full_version >= '3.8.1'
 llama-parse==0.4.2; python_version < '4.0' and python_full_version >= '3.8.1'
 llamaindex-py-client==0.1.19; python_version >= '3.8' and python_version < '4'
-lxml[html_clean]==5.2.1; python_version >= '3.6'
+lxml[html_clean]==5.2.2; python_version >= '3.6'
 lxml-html-clean==0.1.1
 markdown==3.6
 markdown-it-py==3.0.0; python_version >= '3.8'
@@ -162,7 +162,7 @@ olefile==0.47; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2,
 omegaconf==2.3.0; python_version >= '3.6'
 onnx==1.16.0
 onnxruntime==1.17.3
-openai==1.27.0; python_full_version >= '3.7.1'
+openai==1.29.0; python_full_version >= '3.7.1'
 opencv-python==4.9.0.80; python_version >= '3.6'
 openpyxl==3.1.2
 ordered-set==4.1.0; python_version >= '3.7'
@@ -209,7 +209,7 @@ pyinstrument==4.6.2; python_version >= '3.7'
 pypandoc==1.13; python_version >= '3.6'
 pyparsing==3.1.2; python_full_version >= '3.6.8'
 pypdf==4.2.0; python_version >= '3.6'
-pypdfium2==4.29.0; python_version >= '3.6'
+pypdfium2==4.30.0; python_version >= '3.6'
 pyright==1.1.362; python_version >= '3.7'
 pysbd==0.3.4; python_version >= '3'
 pytesseract==0.3.10; python_version >= '3.7'
@@ -232,7 +232,7 @@ ragas==0.1.7
 rapidfuzz==3.9.0; python_version >= '3.8'
 realtime==1.0.4; python_version >= '3.8' and python_version < '4.0'
 redis==5.0.4; python_version >= '3.7'
-regex==2024.4.28; python_version >= '3.8'
+regex==2024.5.10; python_version >= '3.8'
 requests==2.31.0; python_version >= '3.7'
 requests-file==2.0.0
 resend==1.0.1; python_version >= '3.7'
@@ -261,7 +261,7 @@ sympy==1.12; python_version >= '3.8'
 tabulate==0.9.0; python_version >= '3.7'
 tavily-python==0.3.3; python_version >= '3.6'
 tenacity==8.3.0; python_version >= '3.8'
-tiktoken==0.6.0; python_version >= '3.8'
+tiktoken==0.7.0; python_version >= '3.8'
 timm==0.9.16; python_version >= '3.8'
 tinysegmenter==0.3
 tldextract==5.1.2; python_version >= '3.8'

backend/tests/ragas_evaluation/run_evaluation.py

@@ -70,7 +70,7 @@ def main(
     score = evaluate(
         response_dataset,
         metrics=ragas_metrics,
-        llm=ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0.1),
+        llm=ChatOpenAI(model="gpt-4o", temperature=0.1),
         embeddings=LangchainEmbeddingsWrapper(
             OpenAIEmbeddings(model="text-embedding-3-large", dimensions=1536)
         ),

frontend/lib/helpers/defineMaxTokens.ts

@@ -21,7 +21,9 @@ export const defineMaxTokens = (
       return 2000;
     case "mistral/mistral-large-latest":
       return 2000;
+    case "gpt-4o":
+      return 2000;
     default:
-      return 1000;
+      return 2000;
   }
 };

frontend/lib/types/BrainConfig.ts

@@ -39,6 +39,7 @@ export type BrainConfig = {
 
 export const openAiFreeModels = [
   "gpt-3.5-turbo",
+  "gpt-4o",
   "gpt-3.5-turbo-1106",
   "gpt-3.5-turbo-16k",
   "gpt-4-0125-preview",