diff --git a/.gitignore b/.gitignore
index 8f0b58d80..4d1943e7f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -10,3 +10,4 @@ data/*
!.idea/runConfigurations/
.env
**/.env
+**/data/*
\ No newline at end of file
diff --git a/.idea/runConfigurations/module_example.xml b/.idea/runConfigurations/module_example.xml
index 489da09fb..2689c0716 100644
--- a/.idea/runConfigurations/module_example.xml
+++ b/.idea/runConfigurations/module_example.xml
@@ -7,12 +7,12 @@
-
+
-
+
@@ -21,4 +21,4 @@
-
\ No newline at end of file
+
diff --git a/.idea/runConfigurations/module_programming_llm.xml b/.idea/runConfigurations/module_programming_llm.xml
new file mode 100644
index 000000000..3b48b0c1f
--- /dev/null
+++ b/.idea/runConfigurations/module_programming_llm.xml
@@ -0,0 +1,25 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/.idea/runConfigurations/module_programming_themisml.xml b/.idea/runConfigurations/module_programming_themisml.xml
index 563236c00..34a997391 100644
--- a/.idea/runConfigurations/module_programming_themisml.xml
+++ b/.idea/runConfigurations/module_programming_themisml.xml
@@ -1,18 +1,19 @@
+
-
+
-
+
diff --git a/.idea/runConfigurations/module_text_cofee.xml b/.idea/runConfigurations/module_text_cofee.xml
index 90832b921..d1051108e 100644
--- a/.idea/runConfigurations/module_text_cofee.xml
+++ b/.idea/runConfigurations/module_text_cofee.xml
@@ -1,18 +1,19 @@
+
-
+
-
+
diff --git a/.idea/runConfigurations/module_text_llm.xml b/.idea/runConfigurations/module_text_llm.xml
index 310d0a98a..70aa86f50 100644
--- a/.idea/runConfigurations/module_text_llm.xml
+++ b/.idea/runConfigurations/module_text_llm.xml
@@ -1,18 +1,19 @@
+
-
+
-
+
diff --git a/modules/programming/module_programming_llm/module_programming_llm/helpers/models/openai.py b/modules/programming/module_programming_llm/module_programming_llm/helpers/models/openai.py
index 51f45d794..1993f6d83 100644
--- a/modules/programming/module_programming_llm/module_programming_llm/helpers/models/openai.py
+++ b/modules/programming/module_programming_llm/module_programming_llm/helpers/models/openai.py
@@ -1,258 +1,70 @@
import os
-from contextlib import contextmanager
-from typing import Any, Callable, Dict, List
-from pydantic import Field, validator, PositiveInt
-from enum import Enum
-
import openai
-from langchain.chat_models import AzureChatOpenAI, ChatOpenAI
-from langchain.llms import AzureOpenAI, OpenAI
-from langchain.llms.openai import BaseOpenAI
+import requests
+
+from typing import Dict, List
+from enum import Enum
+from pydantic import Field, validator, PositiveInt
from langchain.base_language import BaseLanguageModel
+from langchain_openai import AzureChatOpenAI, ChatOpenAI
from athena.logger import logger
from .model_config import ModelConfig
-
OPENAI_PREFIX = "openai_"
AZURE_OPENAI_PREFIX = "azure_openai_"
-
-
-#########################################################################
-# Monkey patching openai/langchain api #
-# ===================================================================== #
-# This allows us to have multiple api keys i.e. mixing #
-# openai and azure openai api keys so we can use not only deployed #
-# models but also models from the non-azure openai api. #
-# This is mostly for testing purposes, in production we can just deploy #
-# the models to azure that we want to use. #
-#########################################################################
-
-# Prevent LangChain error, we will set the key later
-os.environ["OPENAI_API_KEY"] = ""
-
-def _wrap(old: Any, new: Any) -> Callable:
- def repl(*args: Any, **kwargs: Any) -> Any:
- new(args[0]) # args[0] is self
- return old(*args, **kwargs)
- return repl
-
-
-def _async_wrap(old: Any, new: Any):
- async def repl(*args, **kwargs):
- new(args[0]) # args[0] is self
- return await old(*args, **kwargs)
- return repl
-
-
-def _set_credentials(self):
- openai.api_key = self.openai_api_key
-
- api_type = "open_ai"
- api_base = "https://api.openai.com/v1"
- api_version = None
- if hasattr(self, "openai_api_type"):
- api_type = self.openai_api_type
-
- if api_type == "azure":
- if hasattr(self, "openai_api_base"):
- api_base = self.openai_api_base
- if hasattr(self, "openai_api_version"):
- api_version = self.openai_api_version
-
- openai.api_type = api_type
- openai.api_base = api_base
- openai.api_version = api_version
-
-
-# Monkey patching langchain
-# pylint: disable=protected-access
-ChatOpenAI._generate = _wrap(ChatOpenAI._generate, _set_credentials) # type: ignore
-ChatOpenAI._agenerate = _async_wrap(ChatOpenAI._agenerate, _set_credentials) # type: ignore
-BaseOpenAI._generate = _wrap(BaseOpenAI._generate, _set_credentials) # type: ignore
-BaseOpenAI._agenerate = _async_wrap(BaseOpenAI._agenerate, _set_credentials) # type: ignore
-# pylint: enable=protected-access
-
-#########################################################################
-# Monkey patching end #
-#########################################################################
-
-
-def _use_azure_credentials():
- openai.api_type = "azure"
- openai.api_key = os.environ.get("LLM_AZURE_OPENAI_API_KEY")
- openai.api_base = os.environ.get("LLM_AZURE_OPENAI_API_BASE")
- # os.environ.get("LLM_AZURE_OPENAI_API_VERSION")
- openai.api_version = "2023-03-15-preview"
-
-
-def _use_openai_credentials():
- openai.api_type = "open_ai"
- openai.api_key = os.environ.get("LLM_OPENAI_API_KEY")
- openai.api_base = "https://api.openai.com/v1"
- openai.api_version = None
-
-
-openai_available = bool(os.environ.get("LLM_OPENAI_API_KEY"))
-azure_openai_available = bool(os.environ.get("LLM_AZURE_OPENAI_API_KEY"))
-
-
-# This is a hack to make sure that the openai api is set correctly
-# Right now it is overkill, but it will be useful when the api gets fixed and we no longer
-# hardcode the model names (i.e. OpenAI fixes their api)
-@contextmanager
-def _openai_client(use_azure_api: bool, is_preference: bool):
- """Set the openai client to use the correct api type, if available
-
- Args:
- use_azure_api (bool): If true, use the azure api, else use the openai api
- is_preference (bool): If true, it can fall back to the other api if the preferred one is not available
- """
- if use_azure_api:
- if azure_openai_available:
- _use_azure_credentials()
- elif is_preference and openai_available:
- _use_openai_credentials()
- elif is_preference:
- raise EnvironmentError(
- "No OpenAI api available, please set LLM_AZURE_OPENAI_API_KEY, LLM_AZURE_OPENAI_API_BASE and "
- "LLM_AZURE_OPENAI_API_VERSION environment variables or LLM_OPENAI_API_KEY environment variable"
- )
- else:
- raise EnvironmentError(
- "Azure OpenAI api not available, please set LLM_AZURE_OPENAI_API_KEY, LLM_AZURE_OPENAI_API_BASE and "
- "LLM_AZURE_OPENAI_API_VERSION environment variables"
- )
- else:
- if openai_available:
- _use_openai_credentials()
- elif is_preference and azure_openai_available:
- _use_azure_credentials()
- elif is_preference:
- raise EnvironmentError(
- "No OpenAI api available, please set LLM_OPENAI_API_KEY environment variable or LLM_AZURE_OPENAI_API_KEY, "
- "LLM_AZURE_OPENAI_API_BASE and LLM_AZURE_OPENAI_API_VERSION environment variables"
- )
- else:
- raise EnvironmentError(
- "OpenAI api not available, please set LLM_OPENAI_API_KEY environment variable"
- )
-
- # API client is setup correctly
- yield
-
-
-def _get_available_deployments(openai_models: Dict[str, List[str]], model_aliases: Dict[str, str]):
- available_deployments: Dict[str, Dict[str, Any]] = {
- "chat_completion": {},
- "completion": {},
- "fine_tuneing": {},
- }
-
- if azure_openai_available:
- with _openai_client(use_azure_api=True, is_preference=False):
- deployments = openai.Deployment.list().get("data") or [] # type: ignore
- for deployment in deployments:
- model_name = deployment.model
- if model_name in model_aliases:
- model_name = model_aliases[model_name]
- if model_name in openai_models["chat_completion"]:
- available_deployments["chat_completion"][deployment.id] = deployment
- elif model_name in openai_models["completion"]:
- available_deployments["completion"][deployment.id] = deployment
- elif model_name in openai_models["fine_tuneing"]:
- available_deployments["fine_tuneing"][deployment.id] = deployment
-
- return available_deployments
-
-
-def _get_available_models(openai_models: Dict[str, List[str]],
- available_deployments: Dict[str, Dict[str, Any]]):
- available_models: Dict[str, BaseLanguageModel] = {}
-
- if openai_available:
- openai_api_key = os.environ["LLM_OPENAI_API_KEY"]
- for model_name in openai_models["chat_completion"]:
- available_models[OPENAI_PREFIX + model_name] = ChatOpenAI(
- model=model_name,
- openai_api_key=openai_api_key,
- client="",
- temperature=0
- )
- for model_name in openai_models["completion"]:
- available_models[OPENAI_PREFIX + model_name] = OpenAI(
- model=model_name,
- openai_api_key=openai_api_key,
- client="",
- temperature=0
- )
-
- if azure_openai_available:
- azure_openai_api_key = os.environ["LLM_AZURE_OPENAI_API_KEY"]
- azure_openai_api_base = os.environ["LLM_AZURE_OPENAI_API_BASE"]
- azure_openai_api_version = os.environ["LLM_AZURE_OPENAI_API_VERSION"]
-
- for model_type, Model in [("chat_completion", AzureChatOpenAI), ("completion", AzureOpenAI)]:
- for deployment_name, deployment in available_deployments[model_type].items():
- available_models[AZURE_OPENAI_PREFIX + deployment_name] = Model(
- model=deployment.model,
- deployment_name=deployment_name,
- openai_api_base=azure_openai_api_base,
- openai_api_version=azure_openai_api_version,
- openai_api_key=azure_openai_api_key,
- client="",
- temperature=0
- )
-
- return available_models
-
-
-_model_aliases = {
- "gpt-35-turbo": "gpt-3.5-turbo",
-}
-
-# Hardcoded because openai can't provide a trustworthly api to get the list of models and capabilities...
-openai_models = {
- "chat_completion": [
- "gpt-4",
- # "gpt-4-32k", # Not publicly available
- "gpt-3.5-turbo",
- "gpt-3.5-turbo-16k"
- ],
- "completion": [
- "text-davinci-003",
- "text-curie-001",
- "text-babbage-001",
- "text-ada-001",
- ],
- "fine_tuneing": [
- "davinci",
- "curie",
- "babbage",
- "ada",
- ]
-}
-available_deployments = _get_available_deployments(openai_models, _model_aliases)
-available_models = _get_available_models(openai_models, available_deployments)
+openai_available = bool(os.environ.get("OPENAI_API_KEY"))
+azure_openai_available = bool(os.environ.get("AZURE_OPENAI_API_KEY"))
+
+available_models: Dict[str, BaseLanguageModel] = {}
+
+# Load Non-Azure OpenAI models
+if openai_available:
+ openai.api_type = "openai"
+ for model in openai.models.list():
+ if "gpt" in model.id:
+ available_models[OPENAI_PREFIX + model.id] = ChatOpenAI(model=model.id)
+
+# Load Azure OpenAI models
+if azure_openai_available:
+ def _get_azure_openai_deployments() -> List[str]:
+ # If this breaks in the future we have to use azure-mgmt-cognitiveservices which needs 6 additional environment variables
+ base_url = f"{os.environ.get('AZURE_OPENAI_ENDPOINT')}/openai"
+ api_version = f"{os.environ.get('LLM_AZURE_OPENAI_API_VERSION')}"
+ headers = {
+ "api-key": os.environ["AZURE_OPENAI_API_KEY"]
+ }
+
+ models_response = requests.get(f"{base_url}/models?api-version={api_version}", headers=headers, timeout=30)
+ models_data = models_response.json()["data"]
+ deployments_response = requests.get(f"{base_url}/deployments?api-version={api_version}", headers=headers,
+ timeout=30)
+ deployments_data = deployments_response.json()["data"]
+
+ # Check if deployment["model"] is a substring of model["id"], i.e. "gpt-4o" is substring "gpt-4o-2024-05-13"
+ chat_completion_models = ",".join(model["id"] for model in models_data if model["capabilities"]["chat_completion"])
+ return [deployment["id"] for deployment in deployments_data if deployment["model"] in chat_completion_models]
+
+ for deployment in _get_azure_openai_deployments():
+ available_models[AZURE_OPENAI_PREFIX + deployment] = AzureChatOpenAI(azure_deployment=deployment)
if available_models:
logger.info("Available openai models: %s", ", ".join(available_models.keys()))
- OpenAIModel = Enum('OpenAIModel', {name: name for name in available_models}) # type: ignore
- default_model_name = "gpt-3.5-turbo"
+ OpenAIModel = Enum('OpenAIModel', {name: name for name in available_models}) # type: ignore
+ default_model_name = None
if "LLM_DEFAULT_MODEL" in os.environ and os.environ["LLM_DEFAULT_MODEL"] in available_models:
default_model_name = os.environ["LLM_DEFAULT_MODEL"]
if default_model_name not in available_models:
default_model_name = list(available_models.keys())[0]
- default_openai_model = OpenAIModel[default_model_name]
+ default_openai_model = OpenAIModel[default_model_name] # type: ignore
# Long descriptions will be displayed in the playground UI and are copied from the OpenAI docs
class OpenAIModelConfig(ModelConfig):
-
"""OpenAI LLM configuration."""
- model_name: OpenAIModel = Field(default=default_openai_model, # type: ignore
+ model_name: OpenAIModel = Field(default=default_openai_model, # type: ignore
description="The name of the model to use.")
max_tokens: PositiveInt = Field(1000, description="""\
The maximum number of [tokens](https://platform.openai.com/tokenizer) to generate in the chat completion.
@@ -305,7 +117,7 @@ def get_model(self) -> BaseLanguageModel:
BaseLanguageModel: The model.
"""
model = available_models[self.model_name.value]
- kwargs = model._lc_kwargs
+ kwargs = model.__dict__
secrets = {secret: getattr(model, secret) for secret in model.lc_secrets.keys()}
kwargs.update(secrets)
@@ -328,4 +140,4 @@ def get_model(self) -> BaseLanguageModel:
class Config:
- title = 'OpenAI'
+ title = 'OpenAI'
\ No newline at end of file
diff --git a/modules/programming/module_programming_llm/poetry.lock b/modules/programming/module_programming_llm/poetry.lock
index 0a751bde9..6b0603b81 100644
--- a/modules/programming/module_programming_llm/poetry.lock
+++ b/modules/programming/module_programming_llm/poetry.lock
@@ -379,6 +379,17 @@ files = [
graph = ["objgraph (>=1.7.2)"]
profile = ["gprof2dot (>=2022.7.29)"]
+[[package]]
+name = "distro"
+version = "1.9.0"
+description = "Distro - an OS platform information API"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
+ {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
+]
+
[[package]]
name = "dodgy"
version = "0.2.1"
@@ -746,117 +757,109 @@ files = [
[[package]]
name = "langchain"
-version = "0.1.20"
+version = "0.2.11"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langchain-0.1.20-py3-none-any.whl", hash = "sha256:09991999fbd6c3421a12db3c7d1f52d55601fc41d9b2a3ef51aab2e0e9c38da9"},
- {file = "langchain-0.1.20.tar.gz", hash = "sha256:f35c95eed8c8375e02dce95a34f2fd4856a4c98269d6dc34547a23dba5beab7e"},
+ {file = "langchain-0.2.11-py3-none-any.whl", hash = "sha256:5a7a8b4918f3d3bebce9b4f23b92d050699e6f7fb97591e8941177cf07a260a2"},
+ {file = "langchain-0.2.11.tar.gz", hash = "sha256:d7a9e4165f02dca0bd78addbc2319d5b9286b5d37c51d784124102b57e9fd297"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
-dataclasses-json = ">=0.5.7,<0.7"
-langchain-community = ">=0.0.38,<0.1"
-langchain-core = ">=0.1.52,<0.2.0"
-langchain-text-splitters = ">=0.0.1,<0.1"
+langchain-core = ">=0.2.23,<0.3.0"
+langchain-text-splitters = ">=0.2.0,<0.3.0"
langsmith = ">=0.1.17,<0.2.0"
-numpy = ">=1,<2"
+numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
pydantic = ">=1,<3"
PyYAML = ">=5.3"
requests = ">=2,<3"
SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<9.0.0"
-
-[package.extras]
-azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
-clarifai = ["clarifai (>=9.1.0)"]
-cli = ["typer (>=0.9.0,<0.10.0)"]
-cohere = ["cohere (>=4,<6)"]
-docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
-embeddings = ["sentence-transformers (>=2,<3)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<6)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "langchain-openai (>=0.0.2,<0.1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
-javascript = ["esprima (>=4.0.1,<5.0.0)"]
-llms = ["clarifai (>=9.1.0)", "cohere (>=4,<6)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
-openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
-qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
-text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
[[package]]
name = "langchain-community"
-version = "0.0.38"
+version = "0.2.10"
description = "Community contributed LangChain integrations."
optional = false
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[package.dependencies]
@@ -2303,4 +2314,4 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = "3.11.*"
-content-hash = "3e27c55333ebaaedf9a438e945208eda0560db03db58a02c5d8b28d0f2df7282"
+content-hash = "c70f9951f6fcc77f62653e98f8813d550777a11c41b4612d865ae597626eab9d"
diff --git a/modules/programming/module_programming_llm/pyproject.toml b/modules/programming/module_programming_llm/pyproject.toml
index 070ca13e1..db59b4279 100644
--- a/modules/programming/module_programming_llm/pyproject.toml
+++ b/modules/programming/module_programming_llm/pyproject.toml
@@ -10,10 +10,12 @@ python = "3.11.*"
# if you have local changes in the common Athena module, use the line below. Otherwise, please use a VCS stable version. Also, a version with tag = "" is possible.
# athena = { path = "../athena", develop = true }
athena = { git = "https://github.com/ls1intum/Athena.git", rev = "ccd00cf8346e76738a66e7f4cf04c84aa4cb4378", subdirectory = "athena"}
-openai = "^0.27.8"
-langchain = "^0.1.11"
+openai = "1.37.1"
+langchain = "0.2.11"
+langchain-community="0.2.10"
+langchain-openai = "0.1.19"
gitpython = "^3.1.41"
-tiktoken = "^0.4.0"
+tiktoken = "0.7.0"
promptlayer = "^0.1.85"
python-dotenv = "^1.0.0"
nltk = "^3.8.1"