chore: add unit tests for sdk client (#663)
This commit is contained in:
cthomas
615
poetry.lock
generated
615
poetry.lock
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@@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
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# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
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[[package]]
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name = "aiohappyeyeballs"
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@@ -450,6 +484,10 @@ files = [
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@@ -462,6 +500,10 @@ files = [
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@@ -713,13 +755,13 @@ test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "composio-core"
|
||||
version = "0.6.11.post1"
|
||||
version = "0.6.15"
|
||||
description = "Core package to act as a bridge between composio platform and other services."
|
||||
optional = false
|
||||
python-versions = "<4,>=3.9"
|
||||
files = [
|
||||
{file = "composio_core-0.6.11.post1-py3-none-any.whl", hash = "sha256:7cdd1c71ef845d9dc37de46bfe28e6f5f051e4efd96abe60fc31a651c46e6702"},
|
||||
{file = "composio_core-0.6.11.post1.tar.gz", hash = "sha256:93db130dc8f88aa4f426abe46cef640f96f86efa3f18113c34ad230202dee52c"},
|
||||
{file = "composio_core-0.6.15-py3-none-any.whl", hash = "sha256:ffb217409ca6a0743be29c8993ee15c23e6d29db628653054459b733fcc5f3d9"},
|
||||
{file = "composio_core-0.6.15.tar.gz", hash = "sha256:cd39b9890ad9582a23fe14a37cea732bbd6c2e99821a142f319f10dcf4d1acc0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -749,13 +791,13 @@ tools = ["diskcache", "flake8", "networkx", "pathspec", "pygments", "ruff", "tra
|
||||
|
||||
[[package]]
|
||||
name = "composio-langchain"
|
||||
version = "0.6.11.post1"
|
||||
version = "0.6.15"
|
||||
description = "Use Composio to get an array of tools with your LangChain agent."
|
||||
optional = false
|
||||
python-versions = "<4,>=3.9"
|
||||
files = [
|
||||
{file = "composio_langchain-0.6.11.post1-py3-none-any.whl", hash = "sha256:bd4dd562435aff9626f45e0396a2e5c9d49fd3d68a6caf42994730b0a5cd54ea"},
|
||||
{file = "composio_langchain-0.6.11.post1.tar.gz", hash = "sha256:1ff59cc2724e900f8b386e10ac9577adf3c95046f0052356d8efda36a456fc41"},
|
||||
{file = "composio_langchain-0.6.15-py3-none-any.whl", hash = "sha256:e79c8a521813e5b177a1d51bc4ddf98975dfe215243637317408a2c2c3455ea3"},
|
||||
{file = "composio_langchain-0.6.15.tar.gz", hash = "sha256:796008d94421a069423d1a449e62fcb0877473e18510f156b06a418559c0260e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2399,33 +2441,33 @@ typing-extensions = ">=4.7"
|
||||
|
||||
[[package]]
|
||||
name = "langchain-openai"
|
||||
version = "0.2.14"
|
||||
version = "0.3.0"
|
||||
description = "An integration package connecting OpenAI and LangChain"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "langchain_openai-0.2.14-py3-none-any.whl", hash = "sha256:d232496662f79ece9a11caf7d798ba863e559c771bc366814f7688e0fe664fe8"},
|
||||
{file = "langchain_openai-0.2.14.tar.gz", hash = "sha256:7a514f309e356b182a337c0ed36ab3fbe34d9834a235a3b85cb7f91ae775d978"},
|
||||
{file = "langchain_openai-0.3.0-py3-none-any.whl", hash = "sha256:49c921a22d272b04749a61e78bffa83aecdb8840b24b69f2909e115a357a9a5b"},
|
||||
{file = "langchain_openai-0.3.0.tar.gz", hash = "sha256:88d623eeb2aaa1fff65c2b419a4a1cfd37d3a1d504e598b87cf0bc822a3b70d0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
langchain-core = ">=0.3.27,<0.4.0"
|
||||
langchain-core = ">=0.3.29,<0.4.0"
|
||||
openai = ">=1.58.1,<2.0.0"
|
||||
tiktoken = ">=0.7,<1"
|
||||
|
||||
[[package]]
|
||||
name = "langchain-text-splitters"
|
||||
version = "0.3.4"
|
||||
version = "0.3.5"
|
||||
description = "LangChain text splitting utilities"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "langchain_text_splitters-0.3.4-py3-none-any.whl", hash = "sha256:432fdb39c161d4d0db16d61d38af068dc5dd4dd08082febd2fced81304b2725c"},
|
||||
{file = "langchain_text_splitters-0.3.4.tar.gz", hash = "sha256:f3cedea469684483b4492d9f11dc2fa66388dab01c5d5c5307925515ab884c24"},
|
||||
{file = "langchain_text_splitters-0.3.5-py3-none-any.whl", hash = "sha256:8c9b059827438c5fa8f327b4df857e307828a5ec815163c9b5c9569a3e82c8ee"},
|
||||
{file = "langchain_text_splitters-0.3.5.tar.gz", hash = "sha256:11cb7ca3694e5bdd342bc16d3875b7f7381651d4a53cbb91d34f22412ae16443"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
langchain-core = ">=0.3.26,<0.4.0"
|
||||
langchain-core = ">=0.3.29,<0.4.0"
|
||||
|
||||
[[package]]
|
||||
name = "langchainhub"
|
||||
@@ -2468,15 +2510,33 @@ requests-toolbelt = ">=1.0.0,<2.0.0"
|
||||
compression = ["zstandard (>=0.23.0,<0.24.0)"]
|
||||
langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "letta-client"
|
||||
version = "0.1.15"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8"
|
||||
files = [
|
||||
{file = "letta_client-0.1.15-py3-none-any.whl", hash = "sha256:31b4134769f3241736389eac70c3f8f204044ac6346cbd490ef536f003ab2386"},
|
||||
{file = "letta_client-0.1.15.tar.gz", hash = "sha256:42cf84a0a7f344f1e7d0c809aeea2d1c6e73eccd8c80655b762f696b41f4c8e9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
httpx = ">=0.21.2"
|
||||
httpx-sse = "0.4.0"
|
||||
pydantic = ">=1.9.2"
|
||||
pydantic-core = ">=2.18.2,<3.0.0"
|
||||
typing_extensions = ">=4.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-cloud"
|
||||
version = "0.1.7"
|
||||
version = "0.1.9"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = "<4,>=3.8"
|
||||
files = [
|
||||
{file = "llama_cloud-0.1.7-py3-none-any.whl", hash = "sha256:266db22939c537a2b802eea6a9af2701beff98d5ba46513248011a4f1c17afc6"},
|
||||
{file = "llama_cloud-0.1.7.tar.gz", hash = "sha256:7c1767cb209905400e894566661a91230bcff83cd4d9c08e782fd2143ca6a646"},
|
||||
{file = "llama_cloud-0.1.9-py3-none-any.whl", hash = "sha256:792ee316985bbf4dd0294007105a100489d4baba0bcc4f3e16284f0c01d832d4"},
|
||||
{file = "llama_cloud-0.1.9.tar.gz", hash = "sha256:fc03bd338a1da04b7607a44d82a62b3eb178d80af05a53653e801d6f8bb67df7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2486,19 +2546,19 @@ pydantic = ">=1.10"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index"
|
||||
version = "0.12.9"
|
||||
version = "0.12.11"
|
||||
description = "Interface between LLMs and your data"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "llama_index-0.12.9-py3-none-any.whl", hash = "sha256:95c39d8055c7d19bd5f099560b53c0971ae9997ebe46f7438766189ed48e4456"},
|
||||
{file = "llama_index-0.12.9.tar.gz", hash = "sha256:2f8d671e6ca7e5b33b0f5cbddef8c0a11eb1e39781f1be65e9bd0c4a7a0deb5b"},
|
||||
{file = "llama_index-0.12.11-py3-none-any.whl", hash = "sha256:007361c35e1981a1656cef287b7bcdf22aa88e7d41b8e3a8ee261bb5a10519a9"},
|
||||
{file = "llama_index-0.12.11.tar.gz", hash = "sha256:b1116946a2414aec104a6c417b847da5b4f077a0966c50ebd2fc445cd713adce"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
llama-index-agent-openai = ">=0.4.0,<0.5.0"
|
||||
llama-index-cli = ">=0.4.0,<0.5.0"
|
||||
llama-index-core = ">=0.12.9,<0.13.0"
|
||||
llama-index-core = ">=0.12.11,<0.13.0"
|
||||
llama-index-embeddings-openai = ">=0.3.0,<0.4.0"
|
||||
llama-index-indices-managed-llama-cloud = ">=0.4.0"
|
||||
llama-index-llms-openai = ">=0.3.0,<0.4.0"
|
||||
@@ -2511,17 +2571,17 @@ nltk = ">3.8.1"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-agent-openai"
|
||||
version = "0.4.1"
|
||||
version = "0.4.2"
|
||||
description = "llama-index agent openai integration"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "llama_index_agent_openai-0.4.1-py3-none-any.whl", hash = "sha256:162507543082f739a8c806911344c8d7f2434d0ee91124cfdd7b0ba5f76d0e57"},
|
||||
{file = "llama_index_agent_openai-0.4.1.tar.gz", hash = "sha256:3a89137b228a6e9c2b3f46e367a27b75fb31b458e21777bba819de654707d59e"},
|
||||
{file = "llama_index_agent_openai-0.4.2-py3-none-any.whl", hash = "sha256:e100b8a743b11fef373b5be31be590b929950a4d7fd9d158b5f014dd8fd7976e"},
|
||||
{file = "llama_index_agent_openai-0.4.2.tar.gz", hash = "sha256:0f8aeb091fc834b2667a46ad2417fc8601bf1c08ccfd1a3d15ede90a30eb1a29"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
llama-index-core = ">=0.12.0,<0.13.0"
|
||||
llama-index-core = ">=0.12.11,<0.13.0"
|
||||
llama-index-llms-openai = ">=0.3.0,<0.4.0"
|
||||
openai = ">=1.14.0"
|
||||
|
||||
@@ -2543,13 +2603,13 @@ llama-index-llms-openai = ">=0.3.0,<0.4.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-core"
|
||||
version = "0.12.10.post1"
|
||||
version = "0.12.11"
|
||||
description = "Interface between LLMs and your data"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "llama_index_core-0.12.10.post1-py3-none-any.whl", hash = "sha256:897e8cd4efeff6842580b043bdf4008ac60f693df1de2bfd975307a4845707c2"},
|
||||
{file = "llama_index_core-0.12.10.post1.tar.gz", hash = "sha256:af27bea4d1494ba84983a649976e60e3de677a73946aa45ed12ce27e3a623ddf"},
|
||||
{file = "llama_index_core-0.12.11-py3-none-any.whl", hash = "sha256:3b1e019c899e9e011dfa01c96b7e3f666e0c161035fbca6cb787b4c61e0c94db"},
|
||||
{file = "llama_index_core-0.12.11.tar.gz", hash = "sha256:9a41ca91167ea5eec9ebaac7f5e958b7feddbd8af3bfbf7c393a5edfb994d566"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2608,13 +2668,13 @@ llama-index-core = ">=0.12.0,<0.13.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-llms-openai"
|
||||
version = "0.3.12"
|
||||
version = "0.3.13"
|
||||
description = "llama-index llms openai integration"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "llama_index_llms_openai-0.3.12-py3-none-any.whl", hash = "sha256:08be76b9e649f6085e93292504074728a6531eb7f8930eaf40a2fce70a9f59df"},
|
||||
{file = "llama_index_llms_openai-0.3.12.tar.gz", hash = "sha256:1880273a7e409c05f1dbccdbac5ce3c214771901cd3696aeb556a29dfed8477a"},
|
||||
{file = "llama_index_llms_openai-0.3.13-py3-none-any.whl", hash = "sha256:caea1d6cb5bdd34518fcefe28b784698c92120ed133e6cd4591f777cd15180b0"},
|
||||
{file = "llama_index_llms_openai-0.3.13.tar.gz", hash = "sha256:51dda240dae7671c37e84bb50fe77fe6bb58a9b2a7e33dccd84473c9998afcea"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2670,13 +2730,13 @@ llama-index-program-openai = ">=0.3.0,<0.4.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-readers-file"
|
||||
version = "0.4.2"
|
||||
version = "0.4.3"
|
||||
description = "llama-index readers file integration"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "llama_index_readers_file-0.4.2-py3-none-any.whl", hash = "sha256:9341ff375aae3ab58256af4fc7c6619e08b04a1e78bc5c9d3d1763df3b9223a6"},
|
||||
{file = "llama_index_readers_file-0.4.2.tar.gz", hash = "sha256:d677a2eef0695d00b487ac4ea14c82e6a4eaade3a09c540f8f81626d852e3491"},
|
||||
{file = "llama_index_readers_file-0.4.3-py3-none-any.whl", hash = "sha256:c669da967ea534e3af3660f9fd730c71c725288f5c57906bcce338414ebeee5c"},
|
||||
{file = "llama_index_readers_file-0.4.3.tar.gz", hash = "sha256:07514bebed7ce431c1b3ef9279d09aa3d1bba8e342d661860a033355b98fb33a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2869,13 +2929,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "marshmallow"
|
||||
version = "3.24.0"
|
||||
version = "3.25.1"
|
||||
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "marshmallow-3.24.0-py3-none-any.whl", hash = "sha256:459922b7a1fd3d29d5082ddcadfcea0efd98985030e71d3ef0dd8f44f406e41d"},
|
||||
{file = "marshmallow-3.24.0.tar.gz", hash = "sha256:378572f727e52123d00de1bdd9b7ea7bed18bbfedc7f9bfbcddaf78925a8d602"},
|
||||
{file = "marshmallow-3.25.1-py3-none-any.whl", hash = "sha256:ec5d00d873ce473b7f2ffcb7104286a376c354cab0c2fa12f5573dab03e87210"},
|
||||
{file = "marshmallow-3.25.1.tar.gz", hash = "sha256:f4debda3bb11153d81ac34b0d582bf23053055ee11e791b54b4b35493468040a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2883,7 +2943,7 @@ packaging = ">=17.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
|
||||
docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)"]
|
||||
docs = ["autodocsumm (==0.2.14)", "furo (==2024.8.6)", "sphinx (==8.1.3)", "sphinx-copybutton (==0.5.2)", "sphinx-issues (==5.0.0)", "sphinxext-opengraph (==0.9.1)"]
|
||||
tests = ["pytest", "simplejson"]
|
||||
|
||||
[[package]]
|
||||
@@ -3236,13 +3296,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.59.3"
|
||||
version = "1.59.7"
|
||||
description = "The official Python library for the openai API"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "openai-1.59.3-py3-none-any.whl", hash = "sha256:b041887a0d8f3e70d1fc6ffbb2bf7661c3b9a2f3e806c04bf42f572b9ac7bc37"},
|
||||
{file = "openai-1.59.3.tar.gz", hash = "sha256:7f7fff9d8729968588edf1524e73266e8593bb6cab09298340efb755755bb66f"},
|
||||
{file = "openai-1.59.7-py3-none-any.whl", hash = "sha256:cfa806556226fa96df7380ab2e29814181d56fea44738c2b0e581b462c268692"},
|
||||
{file = "openai-1.59.7.tar.gz", hash = "sha256:043603def78c00befb857df9f0a16ee76a3af5984ba40cb7ee5e2f40db4646bf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -3261,86 +3321,86 @@ realtime = ["websockets (>=13,<15)"]
|
||||
|
||||
[[package]]
|
||||
name = "orjson"
|
||||
version = "3.10.13"
|
||||
version = "3.10.14"
|
||||
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "orjson-3.10.13-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:1232c5e873a4d1638ef957c5564b4b0d6f2a6ab9e207a9b3de9de05a09d1d920"},
|
||||
{file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d26a0eca3035619fa366cbaf49af704c7cb1d4a0e6c79eced9f6a3f2437964b6"},
|
||||
{file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d4b6acd7c9c829895e50d385a357d4b8c3fafc19c5989da2bae11783b0fd4977"},
|
||||
{file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1884e53c6818686891cc6fc5a3a2540f2f35e8c76eac8dc3b40480fb59660b00"},
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[[package]]
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]
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[package.dependencies]
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typing-extensions = ">=4.6.0"
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[package.extras]
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@@ -5636,13 +5715,13 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
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[[package]]
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name = "virtualenv"
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version = "20.28.1"
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version = "20.29.0"
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description = "Virtual Python Environment builder"
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python-versions = ">=3.8"
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]
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[package.dependencies]
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@@ -5795,76 +5874,90 @@ requests = ">=2.0.0,<3.0.0"
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[[package]]
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name = "wrapt"
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version = "1.17.0"
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version = "1.17.2"
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description = "Module for decorators, wrappers and monkey patching."
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optional = false
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python-versions = ">=3.8"
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{file = "wrapt-1.17.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58455b79ec2661c3600e65c0a716955adc2410f7383755d537584b0de41b1d8a"},
|
||||
{file = "wrapt-1.17.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4e42a40a5e164cbfdb7b386c966a588b1047558a990981ace551ed7e12ca9c2"},
|
||||
{file = "wrapt-1.17.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:91bd7d1773e64019f9288b7a5101f3ae50d3d8e6b1de7edee9c2ccc1d32f0c0a"},
|
||||
{file = "wrapt-1.17.2-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:bb90fb8bda722a1b9d48ac1e6c38f923ea757b3baf8ebd0c82e09c5c1a0e7a04"},
|
||||
{file = "wrapt-1.17.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:08e7ce672e35efa54c5024936e559469436f8b8096253404faeb54d2a878416f"},
|
||||
{file = "wrapt-1.17.2-cp38-cp38-win32.whl", hash = "sha256:410a92fefd2e0e10d26210e1dfb4a876ddaf8439ef60d6434f21ef8d87efc5b7"},
|
||||
{file = "wrapt-1.17.2-cp38-cp38-win_amd64.whl", hash = "sha256:95c658736ec15602da0ed73f312d410117723914a5c91a14ee4cdd72f1d790b3"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:99039fa9e6306880572915728d7f6c24a86ec57b0a83f6b2491e1d8ab0235b9a"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2696993ee1eebd20b8e4ee4356483c4cb696066ddc24bd70bcbb80fa56ff9061"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:612dff5db80beef9e649c6d803a8d50c409082f1fedc9dbcdfde2983b2025b82"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62c2caa1585c82b3f7a7ab56afef7b3602021d6da34fbc1cf234ff139fed3cd9"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c958bcfd59bacc2d0249dcfe575e71da54f9dcf4a8bdf89c4cb9a68a1170d73f"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc78a84e2dfbc27afe4b2bd7c80c8db9bca75cc5b85df52bfe634596a1da846b"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba0f0eb61ef00ea10e00eb53a9129501f52385c44853dbd6c4ad3f403603083f"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1e1fe0e6ab7775fd842bc39e86f6dcfc4507ab0ffe206093e76d61cde37225c8"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c86563182421896d73858e08e1db93afdd2b947a70064b813d515d66549e15f9"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-win32.whl", hash = "sha256:f393cda562f79828f38a819f4788641ac7c4085f30f1ce1a68672baa686482bb"},
|
||||
{file = "wrapt-1.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:36ccae62f64235cf8ddb682073a60519426fdd4725524ae38874adf72b5f2aeb"},
|
||||
{file = "wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8"},
|
||||
{file = "wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -6199,4 +6292,4 @@ tests = ["wikipedia"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "<3.14,>=3.10"
|
||||
content-hash = "5794be1ead80f75ba6daa9deb27d9f0e5908686ac72eb7833077d8199b972919"
|
||||
content-hash = "8eca9edb980bf53063e6003e062929fd150d6d7c4475bc2031a150f6b991a6cd"
|
||||
|
||||
@@ -76,6 +76,7 @@ grpcio-tools = "^1.68.1"
|
||||
llama-index = "^0.12.2"
|
||||
llama-index-embeddings-openai = "^0.3.1"
|
||||
e2b-code-interpreter = {version = "^1.0.3", optional = true}
|
||||
letta_client = "^0.1.15"
|
||||
|
||||
[tool.poetry.extras]
|
||||
postgres = ["pgvector", "pg8000", "psycopg2-binary", "psycopg2"]
|
||||
|
||||
593
tests/test_sdk_client.py
Normal file
593
tests/test_sdk_client.py
Normal file
@@ -0,0 +1,593 @@
|
||||
import asyncio
|
||||
|
||||
# import json
|
||||
import os
|
||||
import threading
|
||||
import time
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
from dotenv import load_dotenv
|
||||
from letta_client import CreateBlock
|
||||
from letta_client import Letta as LettaSDKClient
|
||||
from letta_client import MessageCreate
|
||||
from letta_client.core import ApiError
|
||||
from letta_client.runs.types import GetRunMessagesResponseItem_ToolCallMessage
|
||||
from letta_client.types import LettaRequestConfig, LettaResponseMessagesItem_ToolReturnMessage
|
||||
|
||||
# Constants
|
||||
SERVER_PORT = 8283
|
||||
|
||||
|
||||
def run_server():
|
||||
load_dotenv()
|
||||
|
||||
from letta.server.rest_api.app import start_server
|
||||
|
||||
print("Starting server...")
|
||||
start_server(debug=True)
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def client():
|
||||
# Get URL from environment or start server
|
||||
server_url = os.getenv("LETTA_SERVER_URL", f"http://localhost:{SERVER_PORT}")
|
||||
if not os.getenv("LETTA_SERVER_URL"):
|
||||
print("Starting server thread")
|
||||
thread = threading.Thread(target=run_server, daemon=True)
|
||||
thread.start()
|
||||
time.sleep(5)
|
||||
print("Running client tests with server:", server_url)
|
||||
client = LettaSDKClient(base_url=server_url, token=None)
|
||||
yield client
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def agent(client):
|
||||
agent_state = client.agents.create(
|
||||
memory_blocks=[
|
||||
CreateBlock(
|
||||
label="human",
|
||||
value="username: sarah",
|
||||
),
|
||||
],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
)
|
||||
yield agent_state
|
||||
|
||||
# delete agent
|
||||
client.agents.delete(agent_id=agent_state.id)
|
||||
|
||||
|
||||
def test_shared_blocks(client):
|
||||
# create a block
|
||||
block = client.blocks.create(
|
||||
label="human",
|
||||
value="username: sarah",
|
||||
)
|
||||
|
||||
# create agents with shared block
|
||||
agent_state1 = client.agents.create(
|
||||
name="agent1",
|
||||
memory_blocks=[
|
||||
CreateBlock(
|
||||
label="persona",
|
||||
value="you are agent 1",
|
||||
),
|
||||
],
|
||||
block_ids=[block.id],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
)
|
||||
agent_state2 = client.agents.create(
|
||||
name="agent2",
|
||||
memory_blocks=[
|
||||
CreateBlock(
|
||||
label="persona",
|
||||
value="you are agent 2",
|
||||
),
|
||||
],
|
||||
block_ids=[block.id],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
)
|
||||
|
||||
# update memory
|
||||
client.agents.messages.create(
|
||||
agent_id=agent_state1.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="user",
|
||||
text="my name is actually charles",
|
||||
)
|
||||
],
|
||||
)
|
||||
|
||||
# check agent 2 memory
|
||||
assert "charles" in client.blocks.get(block_id=block.id).value.lower(), f"Shared block update failed {client.get_block(block.id).value}"
|
||||
|
||||
client.agents.messages.create(
|
||||
agent_id=agent_state2.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="user",
|
||||
text="whats my name?",
|
||||
)
|
||||
],
|
||||
)
|
||||
assert (
|
||||
"charles" in client.agents.core_memory.get_block(agent_id=agent_state2.id, block_label="human").value.lower()
|
||||
), f"Shared block update failed {client.agents.core_memory.get_block(agent_id=agent_state2.id, block_label="human").value}"
|
||||
|
||||
# cleanup
|
||||
client.agents.delete(agent_state1.id)
|
||||
client.agents.delete(agent_state2.id)
|
||||
|
||||
|
||||
def test_add_and_manage_tags_for_agent(client):
|
||||
"""
|
||||
Comprehensive happy path test for adding, retrieving, and managing tags on an agent.
|
||||
"""
|
||||
tags_to_add = ["test_tag_1", "test_tag_2", "test_tag_3"]
|
||||
|
||||
# Step 0: create an agent with no tags
|
||||
agent = client.agents.create(
|
||||
memory_blocks=[
|
||||
CreateBlock(
|
||||
label="human",
|
||||
value="username: sarah",
|
||||
),
|
||||
],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
)
|
||||
assert len(agent.tags) == 0
|
||||
|
||||
# Step 1: Add multiple tags to the agent
|
||||
client.agents.update(agent_id=agent.id, tags=tags_to_add)
|
||||
|
||||
# Step 2: Retrieve tags for the agent and verify they match the added tags
|
||||
retrieved_tags = client.agents.get(agent_id=agent.id).tags
|
||||
assert set(retrieved_tags) == set(tags_to_add), f"Expected tags {tags_to_add}, but got {retrieved_tags}"
|
||||
|
||||
# Step 3: Retrieve agents by each tag to ensure the agent is associated correctly
|
||||
for tag in tags_to_add:
|
||||
agents_with_tag = client.agents.list(tags=[tag])
|
||||
assert agent.id in [a.id for a in agents_with_tag], f"Expected agent {agent.id} to be associated with tag '{tag}'"
|
||||
|
||||
# Step 4: Delete a specific tag from the agent and verify its removal
|
||||
tag_to_delete = tags_to_add.pop()
|
||||
client.agents.update(agent_id=agent.id, tags=tags_to_add)
|
||||
|
||||
# Verify the tag is removed from the agent's tags
|
||||
remaining_tags = client.agents.get(agent_id=agent.id).tags
|
||||
assert tag_to_delete not in remaining_tags, f"Tag '{tag_to_delete}' was not removed as expected"
|
||||
assert set(remaining_tags) == set(tags_to_add), f"Expected remaining tags to be {tags_to_add[1:]}, but got {remaining_tags}"
|
||||
|
||||
# Step 5: Delete all remaining tags from the agent
|
||||
client.agents.update(agent_id=agent.id, tags=[])
|
||||
|
||||
# Verify all tags are removed
|
||||
final_tags = client.agents.get(agent_id=agent.id).tags
|
||||
assert len(final_tags) == 0, f"Expected no tags, but found {final_tags}"
|
||||
|
||||
# Remove agent
|
||||
client.agents.delete(agent.id)
|
||||
|
||||
|
||||
def test_agent_tags(client):
|
||||
"""Test creating agents with tags and retrieving tags via the API."""
|
||||
# Create multiple agents with different tags
|
||||
agent1 = client.agents.create(
|
||||
memory_blocks=[
|
||||
CreateBlock(
|
||||
label="human",
|
||||
value="username: sarah",
|
||||
),
|
||||
],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
tags=["test", "agent1", "production"],
|
||||
)
|
||||
|
||||
agent2 = client.agents.create(
|
||||
memory_blocks=[
|
||||
CreateBlock(
|
||||
label="human",
|
||||
value="username: sarah",
|
||||
),
|
||||
],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
tags=["test", "agent2", "development"],
|
||||
)
|
||||
|
||||
agent3 = client.agents.create(
|
||||
memory_blocks=[
|
||||
CreateBlock(
|
||||
label="human",
|
||||
value="username: sarah",
|
||||
),
|
||||
],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
tags=["test", "agent3", "production"],
|
||||
)
|
||||
|
||||
# Test getting all tags
|
||||
all_tags = client.tag.list_tags()
|
||||
expected_tags = ["agent1", "agent2", "agent3", "development", "production", "test"]
|
||||
assert sorted(all_tags) == expected_tags
|
||||
|
||||
# Test pagination
|
||||
paginated_tags = client.tag.list_tags(limit=2)
|
||||
assert len(paginated_tags) == 2
|
||||
assert paginated_tags[0] == "agent1"
|
||||
assert paginated_tags[1] == "agent2"
|
||||
|
||||
# Test pagination with cursor
|
||||
next_page_tags = client.tag.list_tags(cursor="agent2", limit=2)
|
||||
assert len(next_page_tags) == 2
|
||||
assert next_page_tags[0] == "agent3"
|
||||
assert next_page_tags[1] == "development"
|
||||
|
||||
# Test text search
|
||||
prod_tags = client.tag.list_tags(query_text="prod")
|
||||
assert sorted(prod_tags) == ["production"]
|
||||
|
||||
dev_tags = client.tag.list_tags(query_text="dev")
|
||||
assert sorted(dev_tags) == ["development"]
|
||||
|
||||
agent_tags = client.tag.list_tags(query_text="agent")
|
||||
assert sorted(agent_tags) == ["agent1", "agent2", "agent3"]
|
||||
|
||||
# Remove agents
|
||||
client.agents.delete(agent1.id)
|
||||
client.agents.delete(agent2.id)
|
||||
client.agents.delete(agent3.id)
|
||||
|
||||
|
||||
def test_update_agent_memory_label(client, agent):
|
||||
"""Test that we can update the label of a block in an agent's memory"""
|
||||
current_labels = [block.label for block in client.agents.core_memory.get_blocks(agent_id=agent.id)]
|
||||
example_label = current_labels[0]
|
||||
example_new_label = "example_new_label"
|
||||
assert example_new_label not in current_labels
|
||||
|
||||
client.agents.core_memory.update_block(
|
||||
agent_id=agent.id,
|
||||
block_label=example_label,
|
||||
label=example_new_label,
|
||||
)
|
||||
|
||||
updated_block = client.agents.core_memory.get_block(agent_id=agent.id, block_label=example_new_label)
|
||||
assert updated_block.label == example_new_label
|
||||
|
||||
|
||||
def test_add_remove_agent_memory_block(client, agent):
|
||||
"""Test that we can add and remove a block from an agent's memory"""
|
||||
current_labels = [block.label for block in client.agents.core_memory.get_blocks(agent_id=agent.id)]
|
||||
example_new_label = current_labels[0] + "_v2"
|
||||
example_new_value = "example value"
|
||||
assert example_new_label not in current_labels
|
||||
|
||||
# Link a new memory block
|
||||
block = client.blocks.create(
|
||||
label=example_new_label,
|
||||
value=example_new_value,
|
||||
limit=1000,
|
||||
)
|
||||
client.blocks.link_agent_memory_block(
|
||||
agent_id=agent.id,
|
||||
block_id=block.id,
|
||||
)
|
||||
|
||||
updated_block = client.agents.core_memory.get_block(
|
||||
agent_id=agent.id,
|
||||
block_label=example_new_label,
|
||||
)
|
||||
assert updated_block.value == example_new_value
|
||||
|
||||
# Now unlink the block
|
||||
client.blocks.unlink_agent_memory_block(
|
||||
agent_id=agent.id,
|
||||
block_id=block.id,
|
||||
)
|
||||
|
||||
current_labels = [block.label for block in client.agents.core_memory.get_blocks(agent_id=agent.id)]
|
||||
assert example_new_label not in current_labels
|
||||
|
||||
|
||||
def test_update_agent_memory_limit(client, agent):
|
||||
"""Test that we can update the limit of a block in an agent's memory"""
|
||||
|
||||
current_labels = [block.label for block in client.agents.core_memory.get_blocks(agent_id=agent.id)]
|
||||
example_label = current_labels[0]
|
||||
example_new_limit = 1
|
||||
current_block = client.agents.core_memory.get_block(agent_id=agent.id, block_label=example_label)
|
||||
current_block_length = len(current_block.value)
|
||||
|
||||
assert example_new_limit != client.agents.core_memory.get_block(agent_id=agent.id, block_label=example_label).limit
|
||||
assert example_new_limit < current_block_length
|
||||
|
||||
# We expect this to throw a value error
|
||||
with pytest.raises(ApiError):
|
||||
client.agents.core_memory.update_block(
|
||||
agent_id=agent.id,
|
||||
block_label=example_label,
|
||||
limit=example_new_limit,
|
||||
)
|
||||
|
||||
# Now try the same thing with a higher limit
|
||||
example_new_limit = current_block_length + 10000
|
||||
assert example_new_limit > current_block_length
|
||||
client.agents.core_memory.update_block(
|
||||
agent_id=agent.id,
|
||||
block_label=example_label,
|
||||
limit=example_new_limit,
|
||||
)
|
||||
|
||||
assert example_new_limit == client.agents.core_memory.get_block(agent_id=agent.id, block_label=example_label).limit
|
||||
|
||||
|
||||
def test_messages(client, agent):
|
||||
send_message_response = client.agents.messages.create(
|
||||
agent_id=agent.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="user",
|
||||
text="Test message",
|
||||
),
|
||||
],
|
||||
)
|
||||
assert send_message_response, "Sending message failed"
|
||||
|
||||
messages_response = client.agents.messages.list(
|
||||
agent_id=agent.id,
|
||||
limit=1,
|
||||
)
|
||||
assert len(messages_response) > 0, "Retrieving messages failed"
|
||||
|
||||
|
||||
def test_send_system_message(client, agent):
|
||||
"""Important unit test since the Letta API exposes sending system messages, but some backends don't natively support it (eg Anthropic)"""
|
||||
send_system_message_response = client.agents.messages.create(
|
||||
agent_id=agent.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="system",
|
||||
text="Event occurred: The user just logged off.",
|
||||
),
|
||||
],
|
||||
)
|
||||
assert send_system_message_response, "Sending message failed"
|
||||
|
||||
|
||||
def test_function_return_limit(client, agent):
|
||||
"""Test to see if the function return limit works"""
|
||||
|
||||
def big_return():
|
||||
"""
|
||||
Always call this tool.
|
||||
|
||||
Returns:
|
||||
important_data (str): Important data
|
||||
"""
|
||||
return "x" * 100000
|
||||
|
||||
tool = client.tools.upsert_from_function(func=big_return, name="big_return", return_char_limit=1000)
|
||||
|
||||
client.agents.tools.add(agent_id=agent.id, tool_id=tool.id)
|
||||
|
||||
# get function response
|
||||
response = client.agents.messages.create(
|
||||
agent_id=agent.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="user",
|
||||
text="call the big_return function",
|
||||
),
|
||||
],
|
||||
config=LettaRequestConfig(use_assistant_message=False),
|
||||
)
|
||||
|
||||
response_message = None
|
||||
for message in response.messages:
|
||||
if isinstance(message, LettaResponseMessagesItem_ToolReturnMessage):
|
||||
response_message = message
|
||||
break
|
||||
|
||||
assert response_message, "ToolReturnMessage message not found in response"
|
||||
res = response_message.tool_return
|
||||
assert "function output was truncated " in res
|
||||
|
||||
|
||||
def test_function_always_error(client, agent):
|
||||
"""Test to see if function that errors works correctly"""
|
||||
|
||||
def always_error():
|
||||
"""
|
||||
Always throw an error.
|
||||
"""
|
||||
return 5 / 0
|
||||
|
||||
tool = client.tools.upsert_from_function(func=always_error, name="always_error", return_char_limit=1000)
|
||||
|
||||
client.agents.tools.add(agent_id=agent.id, tool_id=tool.id)
|
||||
|
||||
# get function response
|
||||
response = client.agents.messages.create(
|
||||
agent_id=agent.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="user",
|
||||
text="call the always_error function",
|
||||
),
|
||||
],
|
||||
config=LettaRequestConfig(use_assistant_message=False),
|
||||
)
|
||||
|
||||
response_message = None
|
||||
for message in response.messages:
|
||||
if isinstance(message, LettaResponseMessagesItem_ToolReturnMessage):
|
||||
response_message = message
|
||||
break
|
||||
|
||||
assert response_message, "ToolReturnMessage message not found in response"
|
||||
assert response_message.status == "error"
|
||||
assert response_message.tool_return == "Error executing function always_error: ZeroDivisionError: division by zero"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_send_message_parallel(client, agent):
|
||||
"""
|
||||
Test that sending two messages in parallel does not error.
|
||||
"""
|
||||
|
||||
# Define a coroutine for sending a message using asyncio.to_thread for synchronous calls
|
||||
async def send_message_task(message: str):
|
||||
response = await asyncio.to_thread(
|
||||
client.agents.messages.create,
|
||||
agent_id=agent.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="user",
|
||||
text=message,
|
||||
),
|
||||
],
|
||||
)
|
||||
assert response, f"Sending message '{message}' failed"
|
||||
return response
|
||||
|
||||
# Prepare two tasks with different messages
|
||||
messages = ["Test message 1", "Test message 2"]
|
||||
tasks = [send_message_task(message) for message in messages]
|
||||
|
||||
# Run the tasks concurrently
|
||||
responses = await asyncio.gather(*tasks, return_exceptions=True)
|
||||
|
||||
# Check for exceptions and validate responses
|
||||
for i, response in enumerate(responses):
|
||||
if isinstance(response, Exception):
|
||||
pytest.fail(f"Task {i} failed with exception: {response}")
|
||||
else:
|
||||
assert response, f"Task {i} returned an invalid response: {response}"
|
||||
|
||||
# Ensure both tasks completed
|
||||
assert len(responses) == len(messages), "Not all messages were processed"
|
||||
|
||||
|
||||
def test_send_message_async(client, agent):
|
||||
"""
|
||||
Test that we can send a message asynchronously and retrieve the messages, along with usage statistics
|
||||
"""
|
||||
test_message = "This is a test message, respond to the user with a sentence."
|
||||
run = client.agents.messages.create_async(
|
||||
agent_id=agent.id,
|
||||
messages=[
|
||||
MessageCreate(
|
||||
role="user",
|
||||
text=test_message,
|
||||
),
|
||||
],
|
||||
config=LettaRequestConfig(use_assistant_message=False),
|
||||
)
|
||||
assert run.id is not None
|
||||
assert run.status == "created"
|
||||
|
||||
# Wait for the job to complete, cancel it if takes over 10 seconds
|
||||
start_time = time.time()
|
||||
while run.status == "created":
|
||||
time.sleep(1)
|
||||
run = client.runs.get_run(run_id=run.id)
|
||||
print(f"Run status: {run.status}")
|
||||
if time.time() - start_time > 10:
|
||||
pytest.fail("Run took too long to complete")
|
||||
|
||||
print(f"Run completed in {time.time() - start_time} seconds, run={run}")
|
||||
assert run.status == "completed"
|
||||
|
||||
# Get messages for the job
|
||||
messages = client.runs.get_run_messages(run_id=run.id)
|
||||
assert len(messages) >= 2 # At least assistant response
|
||||
|
||||
# Check filters
|
||||
assistant_messages = client.runs.get_run_messages(run_id=run.id, role="assistant")
|
||||
assert len(assistant_messages) > 0
|
||||
tool_messages = client.runs.get_run_messages(run_id=run.id, role="tool")
|
||||
assert len(tool_messages) > 0
|
||||
|
||||
specific_tool_messages = [
|
||||
message
|
||||
for message in client.runs.get_run_messages(run_id=run.id)
|
||||
if isinstance(message, GetRunMessagesResponseItem_ToolCallMessage)
|
||||
]
|
||||
assert specific_tool_messages[0].tool_call.name == "send_message"
|
||||
assert len(specific_tool_messages) > 0
|
||||
|
||||
# Get and verify usage statistics
|
||||
usage = client.runs.get_run_usage(run_id=run.id)
|
||||
assert usage.completion_tokens >= 0
|
||||
assert usage.prompt_tokens >= 0
|
||||
assert usage.total_tokens >= 0
|
||||
assert usage.total_tokens == usage.completion_tokens + usage.prompt_tokens
|
||||
|
||||
|
||||
def test_agent_creation(client):
|
||||
"""Test that block IDs are properly attached when creating an agent."""
|
||||
offline_memory_agent_system = """
|
||||
You are a helpful agent. You will be provided with a list of memory blocks and a user preferences block.
|
||||
You should use the memory blocks to remember information about the user and their preferences.
|
||||
You should also use the user preferences block to remember information about the user's preferences.
|
||||
"""
|
||||
|
||||
# Create a test block that will represent user preferences
|
||||
user_preferences_block = client.blocks.create(
|
||||
label="user_preferences",
|
||||
value="",
|
||||
limit=10000,
|
||||
)
|
||||
|
||||
# Create test tools
|
||||
def test_tool():
|
||||
"""A simple test tool."""
|
||||
return "Hello from test tool!"
|
||||
|
||||
def another_test_tool():
|
||||
"""Another test tool."""
|
||||
return "Hello from another test tool!"
|
||||
|
||||
tool1 = client.tools.upsert_from_function(func=test_tool, name="test_tool", tags=["test"])
|
||||
tool2 = client.tools.upsert_from_function(func=another_test_tool, name="another_test_tool", tags=["test"])
|
||||
|
||||
# Create test blocks
|
||||
offline_persona_block = client.blocks.create(label="persona", value="persona description", limit=5000)
|
||||
mindy_block = client.blocks.create(label="mindy", value="Mindy is a helpful assistant", limit=5000)
|
||||
|
||||
# Create agent with the blocks and tools
|
||||
agent = client.agents.create(
|
||||
name=f"test_agent_{str(uuid.uuid4())}",
|
||||
memory_blocks=[offline_persona_block, mindy_block],
|
||||
llm="openai/gpt-4",
|
||||
embedding="openai/text-embedding-ada-002",
|
||||
tool_ids=[tool1.id, tool2.id],
|
||||
include_base_tools=False,
|
||||
tags=["test"],
|
||||
block_ids=[user_preferences_block.id],
|
||||
)
|
||||
|
||||
# Verify the agent was created successfully
|
||||
assert agent is not None
|
||||
assert agent.id is not None
|
||||
|
||||
# Verify all memory blocks are properly attached
|
||||
for block in [offline_persona_block, mindy_block, user_preferences_block]:
|
||||
agent_block = client.agents.core_memory.get_block(agent_id=agent.id, block_label=block.label)
|
||||
assert block.value == agent_block.value and block.limit == agent_block.limit
|
||||
|
||||
# Verify the tools are properly attached
|
||||
agent_tools = client.agents.tools.list(agent_id=agent.id)
|
||||
assert len(agent_tools) == 2
|
||||
tool_ids = {tool1.id, tool2.id}
|
||||
assert all(tool.id in tool_ids for tool in agent_tools)
|
||||
Reference in New Issue
Block a user