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[ Fix ] for the failing embedchain tests (#1899)

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This commit is contained in:
Parshva Daftari
2024-09-25 20:02:53 +05:30
committed by GitHub
parent 5525c4e6fe
commit 44ee48e924
4 changed files with 71 additions and 29 deletions
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4
embedchain/embedchain/config/model_prices_and_context_window.json
View File

@@ -13,14 +13,14 @@
"input_cost_per_token": 0.000005,
"output_cost_per_token": 0.000015
},
"gpt-4o-mini": {
"openai/gpt-4o-mini": {
"max_tokens": 4096,
"max_input_tokens": 128000,
"max_output_tokens": 4096,
"input_cost_per_token": 0.00000015,
"output_cost_per_token": 0.00000060
},
"gpt-4o-mini-2024-07-18": {
"openai/gpt-4o-mini-2024-07-18": {
"max_tokens": 4096,
"max_input_tokens": 128000,
"max_output_tokens": 4096,

91
embedchain/poetry.lock generated
View File

@@ -2364,19 +2364,19 @@ tests = ["aiohttp", "boto3", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pyt
[[package]]
name = "langchain"
version = "0.2.7"
version = "0.2.16"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain-0.2.7-py3-none-any.whl", hash = "sha256:98e79e0b9a60a9c740b44d5b0135c85f649219308f30d373cf5f10d0efe18b87"},
{file = "langchain-0.2.7.tar.gz", hash = "sha256:8742f363d2890854501e0075af04fcb470600f201dec251c9bd5841e1990e73d"},
{file = "langchain-0.2.16-py3-none-any.whl", hash = "sha256:8f59ee8b45f268df4b924ea3b9c63e49286efa756d16b3f6a9de5c6e502c36e1"},
{file = "langchain-0.2.16.tar.gz", hash = "sha256:ffb426a76a703b73ac69abad77cd16eaf03dda76b42cff55572f592d74944166"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
langchain-core = ">=0.2.12,<0.3.0"
langchain-core = ">=0.2.38,<0.3.0"
langchain-text-splitters = ">=0.2.0,<0.3.0"
langsmith = ">=0.1.17,<0.2.0"
numpy = [
@@ -2428,21 +2428,21 @@ langchain-community = ["langchain-community (>=0.2.4)"]
[[package]]
name = "langchain-community"
version = "0.2.7"
version = "0.2.17"
description = "Community contributed LangChain integrations."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_community-0.2.7-py3-none-any.whl", hash = "sha256:c236e74249ab68a318c94c95327cbe75a76489b61f7bf93f14117d9233ce70b1"},
{file = "langchain_community-0.2.7.tar.gz", hash = "sha256:f52659dbb8a8f0c011cc7d634247686d11d768843cc3e5fe9e6f52321cde82c0"},
{file = "langchain_community-0.2.17-py3-none-any.whl", hash = "sha256:d07c31b641e425fb8c3e7148ad6a62e1b54a9adac6e1173021a7dd3148266063"},
{file = "langchain_community-0.2.17.tar.gz", hash = "sha256:b0745c1fcf1bd532ed4388f90b47139d6a6c6ba48a87aa68aa32d4d6bb97259d"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
dataclasses-json = ">=0.5.7,<0.7"
langchain = ">=0.2.7,<0.3.0"
langchain-core = ">=0.2.12,<0.3.0"
langsmith = ">=0.1.0,<0.2.0"
langchain = ">=0.2.16,<0.3.0"
langchain-core = ">=0.2.39,<0.3.0"
langsmith = ">=0.1.112,<0.2.0"
numpy = [
{version = ">=1,<2", markers = "python_version < \"3.12\""},
{version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
@@ -2454,18 +2454,18 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
[[package]]
name = "langchain-core"
version = "0.2.17"
version = "0.2.41"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_core-0.2.17-py3-none-any.whl", hash = "sha256:f8b4f64c95b381bd3ac4322bafa9ecee3ca3970aa0aa2829ef11175bcad27249"},
{file = "langchain_core-0.2.17.tar.gz", hash = "sha256:f9b8d0f7b5f339ac62e11c417181e87f54e9282af82d1a64c8a7427f3d5d9118"},
{file = "langchain_core-0.2.41-py3-none-any.whl", hash = "sha256:3278fda5ba9a05defae8bb19f1226032add6aab21917db7b3bc74e750e263e84"},
{file = "langchain_core-0.2.41.tar.gz", hash = "sha256:bc12032c5a298d85be754ccb129bc13ea21ccb1d6e22f8d7ba18b8da64315bb5"},
]
[package.dependencies]
jsonpatch = ">=1.33,<2.0"
langsmith = ">=0.1.75,<0.2.0"
langsmith = ">=0.1.112,<0.2.0"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
@@ -2473,6 +2473,7 @@ pydantic = [
]
PyYAML = ">=5.3"
tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
typing-extensions = ">=4.7"
[[package]]
name = "langchain-experimental"
@@ -2557,16 +2558,17 @@ langchain-core = ">=0.2.10,<0.3.0"
[[package]]
name = "langsmith"
version = "0.1.85"
version = "0.1.126"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.85-py3-none-any.whl", hash = "sha256:c1f94384f10cea96f7b4d33fd3db7ec180c03c7468877d50846f881d2017ff94"},
{file = "langsmith-0.1.85.tar.gz", hash = "sha256:acff31f9e53efa48586cf8e32f65625a335c74d7c4fa306d1655ac18452296f6"},
{file = "langsmith-0.1.126-py3-none-any.whl", hash = "sha256:16c38ba5dae37a3cc715b6bc5d87d9579228433c2f34d6fa328345ee2b2bcc2a"},
{file = "langsmith-0.1.126.tar.gz", hash = "sha256:40f72e2d1d975473dd69269996053122941c1252915bcea55787607e2a7f949a"},
]
[package.dependencies]
httpx = ">=0.23.0,<1"
orjson = ">=3.9.14,<4.0.0"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
@@ -2718,21 +2720,24 @@ files = [
[[package]]
name = "mem0ai"
version = "0.0.20"
version = "0.1.15"
description = "Long-term memory for AI Agents"
optional = false
python-versions = "<4.0,>=3.8"
python-versions = "<4.0,>=3.9"
files = [
{file = "mem0ai-0.0.20-py3-none-any.whl", hash = "sha256:c19b2082173c818f3516279f0924bfd763e2d18175560332c94e415e5131fd3b"},
{file = "mem0ai-0.0.20.tar.gz", hash = "sha256:459b96850156c8e51e321e3ab4e5f86fb00d75532c16ad41a3eb09578e0ce00a"},
{file = "mem0ai-0.1.15-py3-none-any.whl", hash = "sha256:b553a8a3491565f9e52de535282304218a3773069cb4d41d2da6b4236a7b06bc"},
{file = "mem0ai-0.1.15.tar.gz", hash = "sha256:8f0d6207da36f9ffcb3b1c5ee366f1d0f550daf577d875abc96477309ef233c8"},
]
[package.dependencies]
langchain-community = ">=0.2.12,<0.3.0"
neo4j = ">=5.23.1,<6.0.0"
openai = ">=1.33.0,<2.0.0"
posthog = ">=3.5.0,<4.0.0"
pydantic = ">=2.7.3,<3.0.0"
pytz = ">=2024.1,<2025.0"
qdrant-client = ">=1.9.1,<2.0.0"
rank-bm25 = ">=0.2.2,<0.3.0"
sqlalchemy = ">=2.0.31,<3.0.0"
[[package]]
@@ -3056,6 +3061,25 @@ fido2 = ["fido2 (==1.1.2)"]
gssapi = ["gssapi (>=1.6.9,<=1.8.2)"]
opentelemetry = ["Deprecated (>=1.2.6)", "typing-extensions (>=3.7.4)", "zipp (>=0.5)"]
[[package]]
name = "neo4j"
version = "5.24.0"
description = "Neo4j Bolt driver for Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "neo4j-5.24.0-py3-none-any.whl", hash = "sha256:5b4705cfe8130020f33e75e31ad3fcfe67ee958e07d0c3c4936e9c8245a1ea58"},
{file = "neo4j-5.24.0.tar.gz", hash = "sha256:499ca35135847528f4ee70314bd49c8b08b031e4dfd588bb06c1c2fb35d729e2"},
]
[package.dependencies]
pytz = "*"
[package.extras]
numpy = ["numpy (>=1.7.0,<2.0.0)"]
pandas = ["numpy (>=1.7.0,<2.0.0)", "pandas (>=1.1.0,<3.0.0)"]
pyarrow = ["pyarrow (>=1.0.0)"]
[[package]]
name = "networkx"
version = "3.2.1"
@@ -4392,13 +4416,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
[[package]]
name = "pypdf"
version = "4.2.0"
version = "5.0.0"
description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
optional = false
python-versions = ">=3.6"
files = [
{file = "pypdf-4.2.0-py3-none-any.whl", hash = "sha256:dc035581664e0ad717e3492acebc1a5fc23dba759e788e3d4a9fc9b1a32e72c1"},
{file = "pypdf-4.2.0.tar.gz", hash = "sha256:fe63f3f7d1dcda1c9374421a94c1bba6c6f8c4a62173a59b64ffd52058f846b1"},
{file = "pypdf-5.0.0-py3-none-any.whl", hash = "sha256:67603e2e96cdf70e676564520933c017d450f16075b9966be5fee128812ace8c"},
{file = "pypdf-5.0.0.tar.gz", hash = "sha256:5c536ec0f7af8e2f80eb32806964652a562b9abc5477b3c195e2b842725ce55b"},
]
[package.dependencies]
@@ -4694,6 +4718,23 @@ urllib3 = ">=1.26.14,<3"
fastembed = ["fastembed (==0.2.7)"]
fastembed-gpu = ["fastembed-gpu (==0.2.7)"]
[[package]]
name = "rank-bm25"
version = "0.2.2"
description = "Various BM25 algorithms for document ranking"
optional = false
python-versions = "*"
files = [
{file = "rank_bm25-0.2.2-py3-none-any.whl", hash = "sha256:7bd4a95571adadfc271746fa146a4bcfd89c0cf731e49c3d1ad863290adbe8ae"},
{file = "rank_bm25-0.2.2.tar.gz", hash = "sha256:096ccef76f8188563419aaf384a02f0ea459503fdf77901378d4fd9d87e5e51d"},
]
[package.dependencies]
numpy = "*"
[package.extras]
dev = ["pytest"]
[[package]]
name = "ratelimiter"
version = "1.2.0.post0"
@@ -6606,4 +6647,4 @@ weaviate = ["weaviate-client"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<=3.13"
content-hash = "c2dca4453a3df52a16a2e10ec27760aa2c8e4f74692e19d3f4b9ddb60b3a1031"
content-hash = "d5f785b12967cb62e2924a25b67c318239537c2c79bc75268f0f9f3e0315f169"

3
embedchain/pyproject.toml
View File

@@ -100,7 +100,7 @@ chromadb = "^0.4.24"
posthog = "^3.0.2"
rich = "^13.7.0"
beautifulsoup4 = "^4.12.2"
pypdf = "^4.0.1"
pypdf = "^5.0.0"
gptcache = "^0.1.43"
pysbd = "^0.3.4"
mem0ai = "^0.1.15"
@@ -139,6 +139,7 @@ alembic = "^1.13.1"
langchain-cohere = "^0.1.4"
langchain-community = "^0.2.6"
langchain-aws = {version = "^0.1.10", optional = true}
langsmith = "^0.1.17"
[tool.poetry.group.dev.dependencies]
black = "^23.3.0"

2
embedchain/tests/llm/test_openai.py
View File

@@ -85,7 +85,7 @@ def test_get_llm_model_answer_with_token_usage(config, mocker):
"prompt_tokens": 1,
"completion_tokens": 2,
"total_tokens": 3,
"total_cost": 5.5e-06,
"total_cost": 1.35e-06,
"cost_currency": "USD",
}
mocked_get_answer.assert_called_once_with("Test query", test_config)