chore: workflow consolidatation and fern caching for tests on pr (#2787)
This commit is contained in:
Andy Li
148
poetry.lock
generated
148
poetry.lock
generated
@@ -2540,36 +2540,6 @@ files = [
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{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
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]
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[[package]]
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name = "h2"
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version = "4.2.0"
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description = "Pure-Python HTTP/2 protocol implementation"
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optional = true
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python-versions = ">=3.9"
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groups = ["main"]
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markers = "extra == \"qdrant\""
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files = [
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{file = "h2-4.2.0-py3-none-any.whl", hash = "sha256:479a53ad425bb29af087f3458a61d30780bc818e4ebcf01f0b536ba916462ed0"},
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{file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
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]
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[package.dependencies]
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hpack = ">=4.1,<5"
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hyperframe = ">=6.1,<7"
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[[package]]
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name = "hpack"
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version = "4.1.0"
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description = "Pure-Python HPACK header encoding"
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optional = true
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python-versions = ">=3.9"
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groups = ["main"]
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markers = "extra == \"qdrant\""
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files = [
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{file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"},
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{file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"},
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]
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[[package]]
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name = "html2text"
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version = "2020.1.16"
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@@ -2619,7 +2589,6 @@ files = [
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[package.dependencies]
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anyio = "*"
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certifi = "*"
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h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
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httpcore = "==1.*"
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idna = "*"
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@@ -2642,19 +2611,6 @@ files = [
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{file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
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]
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[[package]]
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name = "hyperframe"
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version = "6.1.0"
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description = "Pure-Python HTTP/2 framing"
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optional = true
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python-versions = ">=3.9"
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groups = ["main"]
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markers = "extra == \"qdrant\""
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files = [
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{file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"},
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{file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"},
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]
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[[package]]
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name = "identify"
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version = "2.6.9"
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@@ -3375,14 +3331,14 @@ pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4,<14.0.0)"]
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[[package]]
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name = "letta-client"
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version = "0.1.153"
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version = "0.1.155"
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description = ""
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optional = false
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python-versions = "<4.0,>=3.8"
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groups = ["main"]
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files = [
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{file = "letta_client-0.1.153-py3-none-any.whl", hash = "sha256:90e3adc9a884cbcacdd31c3411081c4a1849bb988c37094d9338ce2ba285ea7c"},
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{file = "letta_client-0.1.153.tar.gz", hash = "sha256:8c06ad3a0d187436ae523e2c2e493e674adb7563ddaba2070833210f4b1cd126"},
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{file = "letta_client-0.1.155-py3-none-any.whl", hash = "sha256:a1531c58c9d036eb248714827c356841b2537794d07c368ced6f741eaebeb85a"},
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{file = "letta_client-0.1.155.tar.gz", hash = "sha256:687d07d0ee8b515885ab0e6d9b15b2dca2db031b4295370c41bdd8dc728d6498"},
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]
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[package.dependencies]
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@@ -4546,7 +4502,7 @@ description = "Fast, correct Python JSON library supporting dataclasses, datetim
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optional = true
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python-versions = ">=3.9"
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groups = ["main"]
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markers = "platform_python_implementation != \"PyPy\" and (extra == \"external-tools\" or extra == \"desktop\" or extra == \"all\")"
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markers = "(extra == \"external-tools\" or extra == \"desktop\" or extra == \"all\") and platform_python_implementation != \"PyPy\""
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files = [
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{file = "orjson-3.10.16-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4cb473b8e79154fa778fb56d2d73763d977be3dcc140587e07dbc545bbfc38f8"},
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{file = "orjson-3.10.16-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:622a8e85eeec1948690409a19ca1c7d9fd8ff116f4861d261e6ae2094fe59a00"},
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@@ -4956,27 +4912,6 @@ markers = {main = "extra == \"dev\" or extra == \"all\""}
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dev = ["pre-commit", "tox"]
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testing = ["pytest", "pytest-benchmark"]
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[[package]]
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name = "portalocker"
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version = "2.10.1"
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description = "Wraps the portalocker recipe for easy usage"
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optional = true
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python-versions = ">=3.8"
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groups = ["main"]
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markers = "extra == \"qdrant\""
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files = [
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{file = "portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf"},
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{file = "portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f"},
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]
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[package.dependencies]
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pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""}
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[package.extras]
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docs = ["sphinx (>=1.7.1)"]
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redis = ["redis"]
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tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
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[[package]]
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name = "pre-commit"
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version = "3.8.0"
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@@ -5857,7 +5792,7 @@ files = [
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{file = "pywin32-310-cp39-cp39-win32.whl", hash = "sha256:851c8d927af0d879221e616ae1f66145253537bbdd321a77e8ef701b443a9a1a"},
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{file = "pywin32-310-cp39-cp39-win_amd64.whl", hash = "sha256:96867217335559ac619f00ad70e513c0fcf84b8a3af9fc2bba3b59b97da70475"},
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]
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markers = {main = "(platform_system == \"Windows\" or extra == \"external-tools\" or extra == \"desktop\" or extra == \"all\" or extra == \"dev\") and (sys_platform == \"win32\" or platform_system == \"Windows\") and (sys_platform == \"win32\" or extra == \"qdrant\") and (extra == \"qdrant\" or extra == \"external-tools\" or extra == \"desktop\" or extra == \"all\" or extra == \"dev\")", dev = "platform_python_implementation != \"PyPy\" and sys_platform == \"win32\""}
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markers = {main = "(extra == \"external-tools\" or extra == \"desktop\" or extra == \"all\" or extra == \"dev\") and sys_platform == \"win32\"", dev = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
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[[package]]
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name = "pyyaml"
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@@ -6029,61 +5964,6 @@ markers = {main = "extra == \"dev\" or extra == \"desktop\" or extra == \"all\""
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[package.dependencies]
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cffi = {version = "*", markers = "implementation_name == \"pypy\""}
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[[package]]
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name = "qdrant-client"
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version = "1.12.1"
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description = "Client library for the Qdrant vector search engine"
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optional = true
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python-versions = ">=3.8"
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groups = ["main"]
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markers = "python_version == \"3.13\" and extra == \"qdrant\""
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files = [
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{file = "qdrant_client-1.12.1-py3-none-any.whl", hash = "sha256:b2d17ce18e9e767471368380dd3bbc4a0e3a0e2061fedc9af3542084b48451e0"},
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{file = "qdrant_client-1.12.1.tar.gz", hash = "sha256:35e8e646f75b7b883b3d2d0ee4c69c5301000bba41c82aa546e985db0f1aeb72"},
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]
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[package.dependencies]
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grpcio = ">=1.41.0"
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grpcio-tools = ">=1.41.0"
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httpx = {version = ">=0.20.0", extras = ["http2"]}
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numpy = {version = ">=1.26", markers = "python_version >= \"3.12\""}
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portalocker = ">=2.7.0,<3.0.0"
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pydantic = ">=1.10.8"
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urllib3 = ">=1.26.14,<3"
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[package.extras]
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fastembed = ["fastembed (==0.3.6) ; python_version < \"3.13\""]
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fastembed-gpu = ["fastembed-gpu (==0.3.6) ; python_version < \"3.13\""]
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[[package]]
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name = "qdrant-client"
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version = "1.13.3"
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description = "Client library for the Qdrant vector search engine"
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optional = true
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python-versions = ">=3.9"
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groups = ["main"]
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markers = "extra == \"qdrant\" and python_version < \"3.13\""
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files = [
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{file = "qdrant_client-1.13.3-py3-none-any.whl", hash = "sha256:f52cacbb936e547d3fceb1aaed3e3c56be0ebfd48e8ea495ea3dbc89c671d1d2"},
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{file = "qdrant_client-1.13.3.tar.gz", hash = "sha256:61ca09e07c6d7ac0dfbdeb13dca4fe5f3e08fa430cb0d74d66ef5d023a70adfc"},
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]
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[package.dependencies]
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grpcio = ">=1.41.0"
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grpcio-tools = ">=1.41.0"
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httpx = {version = ">=0.20.0", extras = ["http2"]}
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numpy = [
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{version = ">=1.26", markers = "python_version == \"3.12\""},
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{version = ">=1.21", markers = "python_version >= \"3.10\" and python_version < \"3.12\""},
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]
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portalocker = ">=2.7.0,<3.0.0"
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pydantic = ">=1.10.8"
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urllib3 = ">=1.26.14,<3"
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[package.extras]
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fastembed = ["fastembed (==0.5.1)"]
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fastembed-gpu = ["fastembed-gpu (==0.5.1)"]
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[[package]]
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name = "questionary"
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version = "2.1.0"
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@@ -6836,6 +6716,21 @@ files = [
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{file = "striprtf-0.0.26.tar.gz", hash = "sha256:fdb2bba7ac440072d1c41eab50d8d74ae88f60a8b6575c6e2c7805dc462093aa"},
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]
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[[package]]
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name = "structlog"
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version = "25.4.0"
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description = "Structured Logging for Python"
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optional = false
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python-versions = ">=3.8"
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groups = ["main"]
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files = [
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{file = "structlog-25.4.0-py3-none-any.whl", hash = "sha256:fe809ff5c27e557d14e613f45ca441aabda051d119ee5a0102aaba6ce40eed2c"},
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{file = "structlog-25.4.0.tar.gz", hash = "sha256:186cd1b0a8ae762e29417095664adf1d6a31702160a46dacb7796ea82f7409e4"},
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]
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[package.dependencies]
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typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
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[[package]]
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name = "tavily-python"
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version = "0.7.2"
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@@ -7897,7 +7792,6 @@ experimental = ["granian", "uvloop"]
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external-tools = ["docker", "langchain", "langchain-community", "wikipedia"]
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google = ["google-genai"]
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postgres = ["asyncpg", "pg8000", "pgvector", "psycopg2", "psycopg2-binary"]
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qdrant = ["qdrant-client"]
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redis = ["redis"]
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server = ["fastapi", "uvicorn"]
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tests = ["wikipedia"]
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@@ -7905,4 +7799,4 @@ tests = ["wikipedia"]
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[metadata]
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lock-version = "2.1"
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python-versions = "<3.14,>=3.10"
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content-hash = "55838208216d2c09d6b2319fa18653c73a770722842204fe1537178dc68df7f4"
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content-hash = "ce40c1a5c61327463e698e66ededc408fd37e9fb9682d5e1c20a6f7036d91635"
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@@ -39,7 +39,6 @@ html2text = "^2020.1.16"
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sqlalchemy = {extras = ["asyncio"], version = "^2.0.41"}
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pexpect = {version = "^4.9.0", optional = true}
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pyright = {version = "^1.1.347", optional = true}
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qdrant-client = {version="^1.9.1", optional = true}
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#pymilvus = {version ="^2.4.3", optional = true}
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python-box = "^7.1.1"
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sqlmodel = "^0.0.16"
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@@ -73,7 +72,7 @@ llama-index = "^0.12.2"
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llama-index-embeddings-openai = "^0.3.1"
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e2b-code-interpreter = {version = "^1.0.3", optional = true}
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anthropic = "^0.49.0"
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letta_client = "^0.1.153"
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letta_client = "^0.1.155"
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openai = "^1.60.0"
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opentelemetry-api = "1.30.0"
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opentelemetry-sdk = "1.30.0"
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@@ -97,6 +96,7 @@ mistralai = "^1.8.1"
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uvloop = {version = "^0.21.0", optional = true}
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granian = {version = "^2.3.2", extras = ["uvloop", "reload"], optional = true}
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redis = {version = "^6.2.0", optional = true}
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structlog = "^25.4.0"
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[tool.poetry.extras]
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@@ -105,7 +105,6 @@ redis = ["redis"]
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dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "pyright", "pytest-order", "autoflake", "isort", "locust"]
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experimental = ["uvloop", "granian"]
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server = ["websockets", "fastapi", "uvicorn"]
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qdrant = ["qdrant-client"]
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cloud-tool-sandbox = ["e2b-code-interpreter"]
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external-tools = ["docker", "langchain", "wikipedia", "langchain-community"]
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tests = ["wikipedia"]
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@@ -4,6 +4,8 @@ testpaths = /tests
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asyncio_mode = auto
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filterwarnings =
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ignore::pytest.PytestRemovedIn9Warning
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# suppresses the warnings we see with the event_loop fixture
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ignore:.*is asynchronous and explicitly requests the "event_loop" fixture. Asynchronous fixtures and test functions should use "asyncio.get_running_loop\(\)" instead.*
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markers =
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local_sandbox: mark test as part of local sandbox tests
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e2b_sandbox: mark test as part of E2B sandbox tests
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@@ -131,27 +131,6 @@ def configure_letta(enable_openai=False, enable_azure=False):
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configure_letta_localllm()
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def qdrant_server_running() -> bool:
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"""Check if Qdrant server is running."""
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try:
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response = requests.get("http://localhost:6333", timeout=10.0)
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response_json = response.json()
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return response_json.get("title") == "qdrant - vector search engine"
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except (requests.exceptions.ConnectionError, requests.exceptions.Timeout):
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return False
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def with_qdrant_storage(storage: list[str]):
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"""If Qdrant server is running and `qdrant_client` is installed,
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append `'qdrant'` to the storage list"""
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if util.find_spec("qdrant_client") is not None and qdrant_server_running():
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storage.append("qdrant")
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return storage
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def wait_for_incoming_message(
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client: Letta,
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agent_id: str,
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