From ba3a728728a31acafe426de842d3cbb39cf087ce Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 17:02:07 -0500
Subject: [PATCH 01/11] dspy.asyncify

---
 dsp/utils/settings.py                        |    1 +
 dspy/__init__.py                             |    6 +-
 dspy/utils/asyncify.py                       |   33 +
 poetry.lock                                  | 1658 +++++++++++-------
 pyproject.toml                               |   16 +-
 requirements-dev.txt                         |    2 +-
 requirements.txt                             |    2 +
 tests/conftest.py                            |    5 +
 tests/predict/test_chain_of_thought.py       |    2 +-
 tests/predict/test_multi_chain_comparison.py |   47 +-
 tests/predict/test_program_of_thought.py     |    2 +-
 tests/utils/test_asyncify.py                 |   54 +
 12 files changed, 1134 insertions(+), 694 deletions(-)
 create mode 100644 dspy/utils/asyncify.py
 create mode 100644 tests/utils/test_asyncify.py

diff --git a/dsp/utils/settings.py b/dsp/utils/settings.py
index 009c7b6c9c..621d4fb737 100644
--- a/dsp/utils/settings.py
+++ b/dsp/utils/settings.py
@@ -24,6 +24,7 @@
     experimental=False,
     backoff_time=10,
     callbacks=[],
+    async_max_workers=8,
 )
 
 
diff --git a/dspy/__init__.py b/dspy/__init__.py
index 3ba977eb8d..28e0a352b2 100644
--- a/dspy/__init__.py
+++ b/dspy/__init__.py
@@ -7,11 +7,13 @@
 from .signatures import *
 
 # Functional must be imported after primitives, predict and signatures
-from .functional import *  # isort: skip
+from .functional import * # isort: skip
 from dspy.evaluate import Evaluate # isort: skip
 from dspy.clients import * # isort: skip
 from dspy.adapters import * # isort: skip
 from dspy.utils.logging_utils import configure_dspy_loggers, disable_logging, enable_logging
+from dspy.utils.asyncify import asyncify
+
 settings = dsp.settings
 
 configure_dspy_loggers(__name__)
@@ -71,4 +73,4 @@
 BetterTogether = dspy.teleprompt.BetterTogether
 COPRO = dspy.teleprompt.COPRO
 MIPROv2 = dspy.teleprompt.MIPROv2
-Ensemble = dspy.teleprompt.Ensemble
\ No newline at end of file
+Ensemble = dspy.teleprompt.Ensemble
diff --git a/dspy/utils/asyncify.py b/dspy/utils/asyncify.py
new file mode 100644
index 0000000000..6c19e30978
--- /dev/null
+++ b/dspy/utils/asyncify.py
@@ -0,0 +1,33 @@
+import sys
+from typing import Awaitable, Optional, TypeVar, Callable
+
+from anyio import CapacityLimiter
+from asyncer import asyncify as __asyncify
+
+if sys.version_info >= (3, 10):
+    from typing import ParamSpec
+else:
+    from typing_extensions import ParamSpec
+
+T_Retval = TypeVar("T_Retval")
+T_ParamSpec = ParamSpec("T_ParamSpec")
+T = TypeVar("T")
+
+
+class AsyncLimiter:
+    _limiter: Optional[CapacityLimiter] = None
+
+    @classmethod
+    def get(cls):
+        import dspy
+
+        if cls._limiter is None or cls._limiter.total_tokens != dspy.settings.max_async_workers:
+            cls._limiter = CapacityLimiter(dspy.settings.max_async_workers)
+
+        return cls._limiter
+
+
+def asyncify(
+    program: Callable[T_ParamSpec, T_Retval],
+) -> Callable[T_ParamSpec, Awaitable[T_Retval]]:
+    return __asyncify(program, abandon_on_cancel=True, limiter=AsyncLimiter.get())
diff --git a/poetry.lock b/poetry.lock
index 88441a414e..6dd9eaaf72 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,112 +13,98 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.10"
+version = "3.11.2"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
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 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.12.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -150,13 +136,13 @@ files = [
 
 [[package]]
 name = "alembic"
-version = "1.13.3"
+version = "1.14.0"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "alembic-1.13.3-py3-none-any.whl", hash = "sha256:908e905976d15235fae59c9ac42c4c5b75cfcefe3d27c0fbf7ae15a37715d80e"},
-    {file = "alembic-1.13.3.tar.gz", hash = "sha256:203503117415561e203aa14541740643a611f641517f0209fcae63e9fa09f1a2"},
+    {file = "alembic-1.14.0-py3-none-any.whl", hash = "sha256:99bd884ca390466db5e27ffccff1d179ec5c05c965cfefc0607e69f9e411cb25"},
+    {file = "alembic-1.14.0.tar.gz", hash = "sha256:b00892b53b3642d0b8dbedba234dbf1924b69be83a9a769d5a624b01094e304b"},
 ]
 
 [package.dependencies]
@@ -180,13 +166,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.38.0"
+version = "0.39.0"
 description = "The official Python library for the anthropic API"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "anthropic-0.38.0-py3-none-any.whl", hash = "sha256:2c8117b53da7051d8ab65f4e8e05925bd53c53380183115802ace77bde14d4eb"},
-    {file = "anthropic-0.38.0.tar.gz", hash = "sha256:417e1bdecc2e3b5a1f122be950d6ac570bba62d1cdefb33efbac3797413ec5f1"},
+    {file = "anthropic-0.39.0-py3-none-any.whl", hash = "sha256:ea17093ae0ce0e1768b0c46501d6086b5bcd74ff39d68cd2d6396374e9de7c09"},
+    {file = "anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba"},
 ]
 
 [package.dependencies]
@@ -196,7 +182,6 @@ httpx = ">=0.23.0,<1"
 jiter = ">=0.4.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
-tokenizers = ">=0.13.0"
 typing-extensions = ">=4.7,<5"
 
 [package.extras]
@@ -264,6 +249,23 @@ tornado = ["tornado (>=4.3)"]
 twisted = ["twisted"]
 zookeeper = ["kazoo"]
 
+[[package]]
+name = "asgiref"
+version = "3.8.1"
+description = "ASGI specs, helper code, and adapters"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
+    {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
+
+[package.extras]
+tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+
 [[package]]
 name = "asn1crypto"
 version = "1.5.1"
@@ -295,25 +297,30 @@ test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.3"
+version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
-    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+    {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
+    {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
 ]
 
 [[package]]
-name = "atomicwrites"
-version = "1.4.1"
-description = "Atomic file writes."
+name = "asyncer"
+version = "0.0.8"
+description = "Asyncer, async and await, focused on developer experience."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.8"
 files = [
-    {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
+    {file = "asyncer-0.0.8-py3-none-any.whl", hash = "sha256:5920d48fc99c8f8f0f1576e1882f5022885589c5fcbc46ce4224ec3e53776eeb"},
+    {file = "asyncer-0.0.8.tar.gz", hash = "sha256:a589d980f57e20efb07ed91d0dbe67f1d2fd343e7142c66d3a099f05c620739c"},
 ]
 
+[package.dependencies]
+anyio = ">=3.4.0,<5.0"
+typing_extensions = {version = ">=4.8.0", markers = "python_version < \"3.10\""}
+
 [[package]]
 name = "attrs"
 version = "24.2.0"
@@ -504,17 +511,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.35.54"
+version = "1.35.63"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.54-py3-none-any.whl", hash = "sha256:2d5e160b614db55fbee7981001c54476cb827c441cef65b2fcb2c52a62019909"},
-    {file = "boto3-1.35.54.tar.gz", hash = "sha256:7d9c359bbbc858a60b51c86328db813353c8bd1940212cdbd0a7da835291c2e1"},
+    {file = "boto3-1.35.63-py3-none-any.whl", hash = "sha256:d0f938d4f6f392b6ffc5e75fff14a42e5bbb5228675a0367c8af55398abadbec"},
+    {file = "boto3-1.35.63.tar.gz", hash = "sha256:deb593d9a0fb240deb4c43e4da8e6626d7c36be7b2fd2fe28f49d44d395b7de0"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.54,<1.36.0"
+botocore = ">=1.35.63,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -523,13 +530,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.54"
+version = "1.35.63"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.54-py3-none-any.whl", hash = "sha256:9cca1811094b6cdc144c2c063a3ec2db6d7c88194b04d4277cd34fc8e3473aff"},
-    {file = "botocore-1.35.54.tar.gz", hash = "sha256:131bb59ce59c8a939b31e8e647242d70cf11d32d4529fa4dca01feea1e891a76"},
+    {file = "botocore-1.35.63-py3-none-any.whl", hash = "sha256:0ca1200694a4c0a3fa846795d8e8a08404c214e21195eb9e010c4b8a4ca78a4a"},
+    {file = "botocore-1.35.63.tar.gz", hash = "sha256:2b8196bab0a997d206c3d490b52e779ef47dffb68c57c685443f77293aca1589"},
 ]
 
 [package.dependencies]
@@ -543,6 +550,31 @@ urllib3 = [
 [package.extras]
 crt = ["awscrt (==0.22.0)"]
 
+[[package]]
+name = "build"
+version = "1.2.2.post1"
+description = "A simple, correct Python build frontend"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
+    {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "os_name == \"nt\""}
+importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
+packaging = ">=19.1"
+pyproject_hooks = "*"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
+test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>=0.36.0)"]
+typing = ["build[uv]", "importlib-metadata (>=5.1)", "mypy (>=1.9.0,<1.10.0)", "tomli", "typing-extensions (>=3.7.4.3)"]
+uv = ["uv (>=0.1.18)"]
+virtualenv = ["virtualenv (>=20.0.35)"]
+
 [[package]]
 name = "cachetools"
 version = "5.5.0"
@@ -808,29 +840,39 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.4.14"
+version = "0.4.24"
 description = "Chroma."
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "chromadb-0.4.14-py3-none-any.whl", hash = "sha256:c1b59bdfb4b35a40bad0b8927c5ed757adf191ff9db2b9a384dc46a76e1ff10f"},
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+    {file = "chromadb-0.4.24-py3-none-any.whl", hash = "sha256:3a08e237a4ad28b5d176685bd22429a03717fe09d35022fb230d516108da01da"},
+    {file = "chromadb-0.4.24.tar.gz", hash = "sha256:a5c80b4e4ad9b236ed2d4899a5b9e8002b489293f2881cb2cadab5b199ee1c72"},
 ]
 
 [package.dependencies]
 bcrypt = ">=4.0.1"
+build = ">=1.0.3"
 chroma-hnswlib = "0.7.3"
 fastapi = ">=0.95.2"
 grpcio = ">=1.58.0"
 importlib-resources = "*"
-numpy = {version = ">=1.22.5", markers = "python_version >= \"3.8\""}
+kubernetes = ">=28.1.0"
+mmh3 = ">=4.0.1"
+numpy = ">=1.22.5"
 onnxruntime = ">=1.14.1"
+opentelemetry-api = ">=1.2.0"
+opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
+opentelemetry-instrumentation-fastapi = ">=0.41b0"
+opentelemetry-sdk = ">=1.2.0"
+orjson = ">=3.9.12"
 overrides = ">=7.3.1"
 posthog = ">=2.4.0"
 pulsar-client = ">=3.1.0"
 pydantic = ">=1.9"
 pypika = ">=0.48.9"
+PyYAML = ">=6.0.0"
 requests = ">=2.28"
+tenacity = ">=8.2.3"
 tokenizers = ">=0.13.2"
 tqdm = ">=4.65.0"
 typer = ">=0.9.0"
@@ -1039,37 +1081,37 @@ vision = ["Pillow (>=9.4.0)"]
 
 [[package]]
 name = "debugpy"
-version = "1.8.7"
+version = "1.8.8"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "debugpy-1.8.8.zip", hash = "sha256:e6355385db85cbd666be703a96ab7351bc9e6c61d694893206f8001e22aee091"},
 ]
 
 [[package]]
@@ -1085,20 +1127,20 @@ files = [
 
 [[package]]
 name = "deprecated"
-version = "1.2.14"
+version = "1.2.15"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 files = [
-    {file = "Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c"},
-    {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
+    {file = "Deprecated-1.2.15-py2.py3-none-any.whl", hash = "sha256:353bc4a8ac4bfc96800ddab349d89c25dec1079f65fd53acdcc1e0b975b21320"},
+    {file = "deprecated-1.2.15.tar.gz", hash = "sha256:683e561a90de76239796e6b6feac66b99030d2dd3fcf61ef996330f14bbb9b0d"},
 ]
 
 [package.dependencies]
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
 
 [[package]]
 name = "deprecation"
@@ -1204,6 +1246,17 @@ files = [
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 ]
 
+[[package]]
+name = "durationpy"
+version = "0.9"
+description = "Module for converting between datetime.timedelta and Go's Duration strings."
+optional = true
+python-versions = "*"
+files = [
+    {file = "durationpy-0.9-py3-none-any.whl", hash = "sha256:e65359a7af5cedad07fb77a2dd3f390f8eb0b74cb845589fa6c057086834dd38"},
+    {file = "durationpy-0.9.tar.gz", hash = "sha256:fd3feb0a69a0057d582ef643c355c40d2fa1c942191f914d12203b1a01ac722a"},
+]
+
 [[package]]
 name = "email-validator"
 version = "2.2.0"
@@ -1343,13 +1396,13 @@ pydantic = {version = ">=1.8.0", extras = ["email"]}
 
 [[package]]
 name = "fastembed"
-version = "0.4.1"
+version = "0.4.2"
 description = "Fast, light, accurate library built for retrieval embedding generation"
 optional = true
 python-versions = "<3.13,>=3.8.0"
 files = [
-    {file = "fastembed-0.4.1-py3-none-any.whl", hash = "sha256:f75f02468aafa8de474844f9fbaa89683a3dcfd76521fa83cfc3efc885db61f3"},
-    {file = "fastembed-0.4.1.tar.gz", hash = "sha256:d5dcfffc3554dca48caf16eec35e38c20544c58e396a5d215f238d40c8442718"},
+    {file = "fastembed-0.4.2-py3-none-any.whl", hash = "sha256:b72a5bde7261fa01a4dd74c234f97eff6f6e869307aadaed1c6e37dc9fc80a0a"},
+    {file = "fastembed-0.4.2.tar.gz", hash = "sha256:4065344ed795c2c860f31953ab9ead91291ce77952a3f7823ae64e3c8dc1a21c"},
 ]
 
 [package.dependencies]
@@ -1357,11 +1410,11 @@ huggingface-hub = ">=0.20,<1.0"
 loguru = ">=0.7.2,<0.8.0"
 mmh3 = ">=4.1.0,<5.0.0"
 numpy = [
-    {version = ">=1.21,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26,<2", markers = "python_version >= \"3.12\""},
+    {version = ">=1.21", markers = "python_version < \"3.12\""},
+    {version = ">=1.26", markers = "python_version >= \"3.12\""},
 ]
 onnx = ">=1.15.0,<2.0.0"
-onnxruntime = ">=1.17.0,<2.0.0"
+onnxruntime = ">=1.17.0,<1.20.0"
 pillow = ">=10.3.0,<11.0.0"
 py-rust-stemmers = ">=0.1.0,<0.2.0"
 requests = ">=2.31,<3.0"
@@ -1586,6 +1639,46 @@ python-dateutil = ">=2.8.1"
 [package.extras]
 dev = ["flake8", "markdown", "twine", "wheel"]
 
+[[package]]
+name = "google-auth"
+version = "2.36.0"
+description = "Google Authentication Library"
+optional = true
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+cachetools = ">=2.0.0,<6.0"
+pyasn1-modules = ">=0.2.1"
+rsa = ">=3.1.4,<5"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+enterprise-cert = ["cryptography", "pyopenssl"]
+pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+
+[[package]]
+name = "googleapis-common-protos"
+version = "1.66.0"
+description = "Common protobufs used in Google APIs"
+optional = true
+python-versions = ">=3.7"
+files = [
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+
+[package.dependencies]
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+
+[package.extras]
+grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+
 [[package]]
 name = "greenlet"
 version = "3.1.1"
@@ -1916,13 +2009,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.6"
+version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
 ]
 
 [package.dependencies]
@@ -2076,13 +2169,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.6.1"
+version = "2.6.2"
 description = "File identification library for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "identify-2.6.2.tar.gz", hash = "sha256:fab5c716c24d7a789775228823797296a2994b075fb6080ac83a102772a98cbd"},
 ]
 
 [package.extras]
@@ -2241,22 +2334,22 @@ test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pa
 
 [[package]]
 name = "jedi"
-version = "0.19.1"
+version = "0.19.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
 ]
 
 [package.dependencies]
-parso = ">=0.8.3,<0.9.0"
+parso = ">=0.8.4,<0.9.0"
 
 [package.extras]
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 qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 
 [[package]]
 name = "jinja2"
@@ -2277,84 +2370,84 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jiter"
-version = "0.7.0"
+version = "0.7.1"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
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 [[package]]
@@ -2381,13 +2474,13 @@ files = [
 
 [[package]]
 name = "json-repair"
-version = "0.30.0"
+version = "0.30.2"
 description = "A package to repair broken json strings"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [[package]]
@@ -2427,13 +2520,13 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "jupyter-cache"
-version = "1.0.0"
+version = "1.0.1"
 description = "A defined interface for working with a cache of jupyter notebooks."
 optional = true
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -2450,7 +2543,7 @@ tabulate = "*"
 cli = ["click-log"]
 code-style = ["pre-commit (>=2.12)"]
 rtd = ["ipykernel", "jupytext", "myst-nb", "nbdime", "sphinx-book-theme", "sphinx-copybutton"]
-testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=6,<8)", "pytest-cov", "pytest-regressions", "sympy"]
+testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=6)", "pytest-cov", "pytest-regressions", "sympy"]
 
 [[package]]
 name = "jupyter-client"
@@ -2495,6 +2588,33 @@ traitlets = ">=5.3"
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
 test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
 
+[[package]]
+name = "kubernetes"
+version = "31.0.0"
+description = "Kubernetes python client"
+optional = true
+python-versions = ">=3.6"
+files = [
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+
+[package.dependencies]
+certifi = ">=14.05.14"
+durationpy = ">=0.7"
+google-auth = ">=1.0.1"
+oauthlib = ">=3.2.2"
+python-dateutil = ">=2.5.3"
+pyyaml = ">=5.4.1"
+requests = "*"
+requests-oauthlib = "*"
+six = ">=1.9.0"
+urllib3 = ">=1.24.2"
+websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
+
+[package.extras]
+adal = ["adal (>=1.0.2)"]
+
 [[package]]
 name = "lancedb"
 version = "0.11.0"
@@ -2588,13 +2708,13 @@ tornado = "*"
 
 [[package]]
 name = "llama-cloud"
-version = "0.1.4"
+version = "0.1.5"
 description = ""
 optional = true
 python-versions = "<4,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2724,13 +2844,13 @@ llama-index-core = ">=0.10.48.post1,<0.11.0"
 
 [[package]]
 name = "llama-index-legacy"
-version = "0.9.48.post3"
+version = "0.9.48.post4"
 description = "Interface between LLMs and your data"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -3270,13 +3390,13 @@ pyyaml = ">=5.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.43"
+version = "9.5.44"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3310,13 +3430,13 @@ files = [
 
 [[package]]
 name = "mkdocstrings"
-version = "0.26.2"
+version = "0.27.0"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -4034,32 +4154,36 @@ reference = ["Pillow", "google-re2"]
 
 [[package]]
 name = "onnxruntime"
-version = "1.20.0"
+version = "1.19.2"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = true
 python-versions = "*"
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+    {file = "onnxruntime-1.19.2-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:006c8d326835c017a9e9f74c9c77ebb570a71174a1e89fe078b29a557d9c3848"},
+    {file = "onnxruntime-1.19.2-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df2a94179a42d530b936f154615b54748239c2908ee44f0d722cb4df10670f68"},
+    {file = "onnxruntime-1.19.2-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fae4b4de45894b9ce7ae418c5484cbf0341db6813effec01bb2216091c52f7fb"},
+    {file = "onnxruntime-1.19.2-cp39-cp39-win32.whl", hash = "sha256:dc5430f473e8706fff837ae01323be9dcfddd3ea471c900a91fa7c9b807ec5d3"},
+    {file = "onnxruntime-1.19.2-cp39-cp39-win_amd64.whl", hash = "sha256:38475e29a95c5f6c62c2c603d69fc7d4c6ccbf4df602bd567b86ae1138881c49"},
 ]
 
 [package.dependencies]
@@ -4072,13 +4196,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.53.0"
+version = "1.54.4"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
 files = [
-    {file = "openai-1.53.0-py3-none-any.whl", hash = "sha256:20f408c32fc5cb66e60c6882c994cdca580a5648e10045cd840734194f033418"},
-    {file = "openai-1.53.0.tar.gz", hash = "sha256:be2c4e77721b166cce8130e544178b7d579f751b4b074ffbaade3854b6f85ec5"},
+    {file = "openai-1.54.4-py3-none-any.whl", hash = "sha256:0d95cef99346bf9b6d7fbf57faf61a673924c3e34fa8af84c9ffe04660673a7e"},
+    {file = "openai-1.54.4.tar.gz", hash = "sha256:50f3656e45401c54e973fa05dc29f3f0b0d19348d685b2f7ddb4d92bf7b1b6bf"},
 ]
 
 [package.dependencies]
@@ -4094,6 +4218,170 @@ typing-extensions = ">=4.11,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "opentelemetry-api"
+version = "1.28.1"
+description = "OpenTelemetry Python API"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_api-1.28.1-py3-none-any.whl", hash = "sha256:bfe86c95576cf19a914497f439fd79c9553a38de0adbdc26f7cfc46b0c00b16c"},
+    {file = "opentelemetry_api-1.28.1.tar.gz", hash = "sha256:6fa7295a12c707f5aebef82da3d9ec5afe6992f3e42bfe7bec0339a44b3518e7"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+importlib-metadata = ">=6.0,<=8.5.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-common"
+version = "1.28.1"
+description = "OpenTelemetry Protobuf encoding"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_exporter_otlp_proto_common-1.28.1-py3-none-any.whl", hash = "sha256:56ea6cf28c90f767733f046a54525dc7271a25faff86b1955e5252b55f4e007f"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.28.1.tar.gz", hash = "sha256:6e55e7f5d59296cc87a74c08b8e0ddf87403f73a62302ec7ee042c1a1f4a8f70"},
+]
+
+[package.dependencies]
+opentelemetry-proto = "1.28.1"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-grpc"
+version = "1.28.1"
+description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.28.1-py3-none-any.whl", hash = "sha256:fd494b9dd7869975138cef68d52ed45b9ca584c1fa31bef2d01ecfd537445dfa"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.28.1.tar.gz", hash = "sha256:9c84a103734d0c9cf9a4ba973d9c15c21996a554ab2bbd6208b3925873912642"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+googleapis-common-protos = ">=1.52,<2.0"
+grpcio = ">=1.63.2,<2.0.0"
+opentelemetry-api = ">=1.15,<2.0"
+opentelemetry-exporter-otlp-proto-common = "1.28.1"
+opentelemetry-proto = "1.28.1"
+opentelemetry-sdk = ">=1.28.1,<1.29.0"
+
+[[package]]
+name = "opentelemetry-instrumentation"
+version = "0.49b1"
+description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_instrumentation-0.49b1-py3-none-any.whl", hash = "sha256:0a9d3821736104013693ef3b8a9d29b41f2f3a81ee2d8c9288b52d62bae5747c"},
+    {file = "opentelemetry_instrumentation-0.49b1.tar.gz", hash = "sha256:2d0e41181b7957ba061bb436b969ad90545ac3eba65f290830009b4264d2824e"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.4,<2.0"
+opentelemetry-semantic-conventions = "0.49b1"
+packaging = ">=18.0"
+wrapt = ">=1.0.0,<2.0.0"
+
+[[package]]
+name = "opentelemetry-instrumentation-asgi"
+version = "0.49b1"
+description = "ASGI instrumentation for OpenTelemetry"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_instrumentation_asgi-0.49b1-py3-none-any.whl", hash = "sha256:8dcbc438cb138789fcb20ae38b6e7f23088e066d77b54bae205c5744856603c6"},
+    {file = "opentelemetry_instrumentation_asgi-0.49b1.tar.gz", hash = "sha256:d1a2b4cb76490be28bcad3c0f562c4b3c84157148c922ca298bb04ed9e36c005"},
+]
+
+[package.dependencies]
+asgiref = ">=3.0,<4.0"
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-instrumentation = "0.49b1"
+opentelemetry-semantic-conventions = "0.49b1"
+opentelemetry-util-http = "0.49b1"
+
+[package.extras]
+instruments = ["asgiref (>=3.0,<4.0)"]
+
+[[package]]
+name = "opentelemetry-instrumentation-fastapi"
+version = "0.49b1"
+description = "OpenTelemetry FastAPI Instrumentation"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_instrumentation_fastapi-0.49b1-py3-none-any.whl", hash = "sha256:3398940102c8ef613b9c55fc4f179cc92413de456f6bec6eeb1995270de2b087"},
+    {file = "opentelemetry_instrumentation_fastapi-0.49b1.tar.gz", hash = "sha256:13d9d4d70b4bb831468b8e40807353731cad7fbfaeedde0070d93bcb2c417b07"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-instrumentation = "0.49b1"
+opentelemetry-instrumentation-asgi = "0.49b1"
+opentelemetry-semantic-conventions = "0.49b1"
+opentelemetry-util-http = "0.49b1"
+
+[package.extras]
+instruments = ["fastapi (>=0.58,<1.0)"]
+
+[[package]]
+name = "opentelemetry-proto"
+version = "1.28.1"
+description = "OpenTelemetry Python Proto"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_proto-1.28.1-py3-none-any.whl", hash = "sha256:cb406ec69f1d11439e60fb43c6b744783fc8ee4deecdab61b3e29f112b0602f9"},
+    {file = "opentelemetry_proto-1.28.1.tar.gz", hash = "sha256:6f9e9d9958822ab3e3cdcd2a24806d62aa10282349fd4338aafe32c69c87fc15"},
+]
+
+[package.dependencies]
+protobuf = ">=5.0,<6.0"
+
+[[package]]
+name = "opentelemetry-sdk"
+version = "1.28.1"
+description = "OpenTelemetry Python SDK"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_sdk-1.28.1-py3-none-any.whl", hash = "sha256:72aad7f5fcbe37113c4ab4899f6cdeb6ac77ed3e62f25a85e3627b12583dad0f"},
+    {file = "opentelemetry_sdk-1.28.1.tar.gz", hash = "sha256:100fa371b2046ffba6a340c18f0b2a0463acad7461e5177e126693b613a6ca57"},
+]
+
+[package.dependencies]
+opentelemetry-api = "1.28.1"
+opentelemetry-semantic-conventions = "0.49b1"
+typing-extensions = ">=3.7.4"
+
+[[package]]
+name = "opentelemetry-semantic-conventions"
+version = "0.49b1"
+description = "OpenTelemetry Semantic Conventions"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_semantic_conventions-0.49b1-py3-none-any.whl", hash = "sha256:dd6f3ac8169d2198c752e1a63f827e5f5e110ae9b0ce33f2aad9a3baf0739743"},
+    {file = "opentelemetry_semantic_conventions-0.49b1.tar.gz", hash = "sha256:91817883b159ffb94c2ca9548509c4fe0aafce7c24f437aa6ac3fc613aa9a758"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+opentelemetry-api = "1.28.1"
+
+[[package]]
+name = "opentelemetry-util-http"
+version = "0.49b1"
+description = "Web util for OpenTelemetry"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_util_http-0.49b1-py3-none-any.whl", hash = "sha256:0290b942f7888b6310df6803e52e12f4043b8f224db0659f62dc7b70059eb94f"},
+    {file = "opentelemetry_util_http-0.49b1.tar.gz", hash = "sha256:6c2bc6f7e20e286dbdfcccb9d895fa290ec9d7c596cdf2e06bf1d8e434b2edd0"},
+]
+
 [[package]]
 name = "optuna"
 version = "3.6.1"
@@ -4201,13 +4489,13 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
-    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
+    {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
+    {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
 ]
 
 [[package]]
@@ -4842,7 +5130,7 @@ tests = ["pytest"]
 name = "py"
 version = "1.11.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
     {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"},
@@ -4967,6 +5255,31 @@ files = [
 [package.extras]
 test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
+[[package]]
+name = "pyasn1"
+version = "0.6.1"
+description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
+    {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
+]
+
+[[package]]
+name = "pyasn1-modules"
+version = "0.4.1"
+description = "A collection of ASN.1-based protocols modules"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"},
+    {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.4.6,<0.7.0"
+
 [[package]]
 name = "pycparser"
 version = "2.22"
@@ -5326,6 +5639,17 @@ files = [
     {file = "PyPika-0.48.9.tar.gz", hash = "sha256:838836a61747e7c8380cd1b7ff638694b7a7335345d0f559b04b2cd832ad5378"},
 ]
 
+[[package]]
+name = "pyproject-hooks"
+version = "1.2.0"
+description = "Wrappers to call pyproject.toml-based build backend hooks."
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "pyproject_hooks-1.2.0-py3-none-any.whl", hash = "sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913"},
+    {file = "pyproject_hooks-1.2.0.tar.gz", hash = "sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8"},
+]
+
 [[package]]
 name = "pyreadline3"
 version = "3.5.4"
@@ -5342,27 +5666,25 @@ dev = ["build", "flake8", "mypy", "pytest", "twine"]
 
 [[package]]
 name = "pytest"
-version = "6.2.5"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
-    {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
+    {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
+    {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
 ]
 
 [package.dependencies]
-atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
-attrs = ">=19.2.0"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<2.0"
-py = ">=1.8.2"
-toml = "*"
+pluggy = ">=1.5,<2"
+tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-mock"
@@ -5855,6 +6177,24 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "requests-oauthlib"
+version = "2.0.0"
+description = "OAuthlib authentication support for Requests."
+optional = true
+python-versions = ">=3.4"
+files = [
+    {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"},
+    {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"},
+]
+
+[package.dependencies]
+oauthlib = ">=3.0.0"
+requests = ">=2.0.0"
+
+[package.extras]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
+
 [[package]]
 name = "retry"
 version = "0.9.2"
@@ -5891,114 +6231,101 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "rpds-py"
-version = "0.20.1"
+version = "0.21.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "rpds_py-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a649dfd735fff086e8a9d0503a9f0c7d01b7912a333c7ae77e1515c08c146dad"},
-    {file = "rpds_py-0.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f16bc1334853e91ddaaa1217045dd7be166170beec337576818461268a3de67f"},
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 [[package]]
@@ -6016,6 +6343,20 @@ files = [
 click = ">=5"
 redis = ">=3.5"
 
+[[package]]
+name = "rsa"
+version = "4.9"
+description = "Pure-Python RSA implementation"
+optional = true
+python-versions = ">=3.6,<4"
+files = [
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+
+[package.dependencies]
+pyasn1 = ">=0.1.3"
+
 [[package]]
 name = "ruff"
 version = "0.3.7"
@@ -6204,13 +6545,13 @@ files = [
 
 [[package]]
 name = "sentry-sdk"
-version = "2.17.0"
+version = "2.18.0"
 description = "Python client for Sentry (https://sentry.io)"
 optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -6238,9 +6579,11 @@ httpx = ["httpx (>=0.16.0)"]
 huey = ["huey (>=2)"]
 huggingface-hub = ["huggingface-hub (>=0.22)"]
 langchain = ["langchain (>=0.0.210)"]
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 litestar = ["litestar (>=2.0.0)"]
 loguru = ["loguru (>=0.5)"]
 openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
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 opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
 opentelemetry-experimental = ["opentelemetry-distro"]
 pure-eval = ["asttokens", "executing", "pure-eval"]
@@ -6256,23 +6599,23 @@ tornado = ["tornado (>=6)"]
 
 [[package]]
 name = "setuptools"
-version = "75.3.0"
+version = "75.5.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [[package]]
 name = "shellingham"
@@ -6379,13 +6722,13 @@ secure-local-storage = ["keyring (>=23.1.0,<26.0.0)"]
 
 [[package]]
 name = "snowflake-snowpark-python"
-version = "1.24.0"
+version = "1.25.0"
 description = "Snowflake Snowpark for Python"
 optional = true
 python-versions = "<3.12,>=3.8"
 files = [
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 [package.dependencies]
@@ -6393,20 +6736,22 @@ cloudpickle = [
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 ]
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 pyyaml = "*"
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+snowflake-connector-python = ">=3.12.0,<4.0.0"
 typing-extensions = ">=4.1.0,<5.0.0"
+tzlocal = "*"
 wheel = "*"
 
 [package.extras]
-development = ["cachetools", "coverage", "decorator", "graphviz", "matplotlib", "openpyxl", "pre-commit", "pytest (<8.0.0)", "pytest-assume", "pytest-cov", "pytest-timeout", "pytest-xdist", "sphinx (==5.0.2)"]
+development = ["cachetools", "coverage", "decorator", "graphviz", "lxml", "matplotlib", "mypy-protobuf", "openpyxl", "pre-commit", "protoc-wheel-0 (==21.1)", "pytest (<8.0.0)", "pytest-assume", "pytest-cov", "pytest-timeout", "pytest-xdist", "sphinx (==5.0.2)"]
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-secure-local-storage = ["snowflake-connector-python[secure-local-storage] (>=3.10.0,<4.0.0)"]
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+secure-local-storage = ["snowflake-connector-python[secure-local-storage] (>=3.12.0,<4.0.0)"]
 
 [[package]]
 name = "sortedcontainers"
@@ -6898,111 +7243,123 @@ blobfile = ["blobfile (>=2)"]
 
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 ]
 
 [package.dependencies]
@@ -7013,26 +7370,15 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
-[[package]]
-name = "toml"
-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-files = [
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-]
-
 [[package]]
 name = "tomli"
-version = "2.0.2"
+version = "2.1.0"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
-    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
+    {file = "tomli-2.1.0-py3-none-any.whl", hash = "sha256:a5c57c3d1c56f5ccdf89f6523458f60ef716e210fc47c4cfb188c5ba473e0391"},
+    {file = "tomli-2.1.0.tar.gz", hash = "sha256:3f646cae2aec94e17d04973e4249548320197cfabdf130015d023de4b74d8ab8"},
 ]
 
 [[package]]
@@ -7120,13 +7466,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.6"
+version = "4.67.0"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.6-py3-none-any.whl", hash = "sha256:223e8b5359c2efc4b30555531f09e9f2f3589bcd7fdd389271191031b49b7a63"},
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+    {file = "tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be"},
+    {file = "tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a"},
 ]
 
 [package.dependencies]
@@ -7134,6 +7480,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
@@ -7155,13 +7502,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "transformers"
-version = "4.46.1"
+version = "4.46.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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+    {file = "transformers-4.46.2.tar.gz", hash = "sha256:3d85410881e1c074be767877bf33c83231ec11529f274a6044ecb20c157ba14e"},
 ]
 
 [package.dependencies]
@@ -7246,13 +7593,13 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typer"
-version = "0.12.5"
+version = "0.13.0"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -7692,13 +8039,13 @@ files = [
 
 [[package]]
 name = "weaviate-client"
-version = "4.9.2"
+version = "4.9.3"
 description = "A python native Weaviate client"
 optional = true
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -7711,110 +8058,109 @@ pydantic = ">=2.5.0,<3.0.0"
 requests = ">=2.30.0,<3.0.0"
 validators = "0.34.0"
 
+[[package]]
+name = "websocket-client"
+version = "1.8.0"
+description = "WebSocket client for Python with low level API options"
+optional = true
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
 [[package]]
 name = "websockets"
-version = "13.1"
+version = "14.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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+    {file = "websockets-14.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7591d6f440af7f73c4bd9404f3772bfee064e639d2b6cc8c94076e71b2471c1"},
+    {file = "websockets-14.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:25225cc79cfebc95ba1d24cd3ab86aaa35bcd315d12fa4358939bd55e9bd74a5"},
+    {file = "websockets-14.1-py3-none-any.whl", hash = "sha256:4d4fc827a20abe6d544a119896f6b78ee13fe81cbfef416f3f2ddf09a03f0e2e"},
+    {file = "websockets-14.1.tar.gz", hash = "sha256:398b10c77d471c0aab20a845e7a60076b6390bfdaac7a6d2edb0d2c59d75e8d8"},
 ]
 
 [[package]]
 name = "wheel"
-version = "0.44.0"
+version = "0.45.0"
 description = "A built-package format for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "wheel-0.44.0-py3-none-any.whl", hash = "sha256:2376a90c98cc337d18623527a97c31797bd02bad0033d41547043a1cbfbe448f"},
-    {file = "wheel-0.44.0.tar.gz", hash = "sha256:a29c3f2817e95ab89aa4660681ad547c0e9547f20e75b0562fe7723c9a2a9d49"},
+    {file = "wheel-0.45.0-py3-none-any.whl", hash = "sha256:52f0baa5e6522155090a09c6bd95718cc46956d1b51d537ea5454249edb671c7"},
+    {file = "wheel-0.45.0.tar.gz", hash = "sha256:a57353941a3183b3d5365346b567a260a0602a0f8a635926a7dede41b94c674a"},
 ]
 
 [package.extras]
@@ -8143,13 +8489,13 @@ propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.2"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
@@ -8177,4 +8523,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "22dfbbe02db1c0fcb0f13cbcf4083f54dd7218d7dd2b43a0b1e8dbeed9ae5002"
+content-hash = "0675fa1dd1f44d63bafaffc6c2dfb384f2d016cfa20db379c19515ca182e867c"
diff --git a/pyproject.toml b/pyproject.toml
index a9cb43a43c..2e53c31b41 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,12 +20,10 @@ classifiers = [
     "Programming Language :: Python :: 3",    # removed 3.8
     "Programming Language :: Python :: 3.9",
 ]
-
 # We have both project and tool.poetry.dependencies. Should we remove one?
 # tool.poetry.dependencies is a convenience thing for poetry users.
 # project dependencies function similarly to requirements.txt,
 # `pip install .` will pull from pyproject.toml dependencies
-
 dependencies = [
     "backoff~=2.2",
     "joblib~=1.3",
@@ -44,6 +42,8 @@ dependencies = [
     "diskcache",
     "json-repair",
     "tenacity>=8.2.3",
+    "anyio==4.6.2.post1",
+    "asyncer==0.0.8",
 ]
 
 [project.optional-dependencies]
@@ -86,9 +86,8 @@ readme = "README.md"
 homepage = "https://github.com/stanfordnlp/dspy"
 repository = "https://github.com/stanfordnlp/dspy"
 keywords = ["dspy", "ai", "language models", "llm", "openai"]
-# may be a bit much
-
 
+# may be a bit much
 [tool.poetry.dependencies]
 python = ">=3.9,<3.13"
 pydantic = "^2.0"
@@ -134,17 +133,14 @@ jinja2 = "^3.1.3"
 magicattr = "^0.1.6"
 litellm = "1.51.0"
 diskcache = "^5.6.0"
-
 redis = "^5.1.1"
 falkordb = "^1.0.9"
-
-
 json-repair = "^0.30.0"
 tenacity = ">=8.2.3"
-
+asyncer = "0.0.8"
 
 [tool.poetry.group.dev.dependencies]
-pytest = "^6.2.5"
+pytest = "^8.3.3"
 transformers = "^4.38.2"
 torch = "^2.2.1"
 pytest-mock = "^3.12.0"
@@ -233,11 +229,9 @@ select = [
     "F",  # Pyflakes
     "E",  # Pycodestyle
 ]
-
 ignore = [
     "E501",  # Line too long
 ]
-
 # Allow fix for all enabled rules (when `--fix`) is provided.
 fixable = ["ALL"]
 unfixable = []
diff --git a/requirements-dev.txt b/requirements-dev.txt
index 561b14cf52..98d89e732d 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,6 +1,6 @@
 black==24.2.0
 pre-commit==3.7.0
-pytest==8.2.1
+pytest==8.3.3
 pytest-env==1.1.3
 pytest-mock==3.12.0
 ruff==0.3.0
diff --git a/requirements.txt b/requirements.txt
index e8078b8118..eb99bc5296 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -15,3 +15,5 @@ requests
 tenacity>=8.2.3
 tqdm
 ujson
+anyio==4.6.2.post1
+asyncer==0.0.8
diff --git a/tests/conftest.py b/tests/conftest.py
index 0bb74ac90e..9470a79c58 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -11,3 +11,8 @@ def clear_settings():
     yield
 
     dspy.settings.configure(**DEFAULT_CONFIG, inherit_config=False)
+
+
+@pytest.fixture
+def anyio_backend():
+    return "asyncio"
diff --git a/tests/predict/test_chain_of_thought.py b/tests/predict/test_chain_of_thought.py
index 2451bef664..d7869b7e8e 100644
--- a/tests/predict/test_chain_of_thought.py
+++ b/tests/predict/test_chain_of_thought.py
@@ -1,4 +1,4 @@
-import textwrap
+import pytest
 
 import dspy
 from dspy import ChainOfThought
diff --git a/tests/predict/test_multi_chain_comparison.py b/tests/predict/test_multi_chain_comparison.py
index 8354f64d07..e5da9fd433 100644
--- a/tests/predict/test_multi_chain_comparison.py
+++ b/tests/predict/test_multi_chain_comparison.py
@@ -1,30 +1,33 @@
+import pytest
 import dspy
 from dspy.utils.dummies import DummyLM
 
 
-def test_basic_example():
-    class BasicQA(dspy.Signature):
-        """Answer questions with short factoid answers."""
-
-        question = dspy.InputField()
-        answer = dspy.OutputField(desc="often between 1 and 5 words")
-
-    # Example completions generated by a model for reference
-    completions = [
-        dspy.Prediction(
-            rationale="I recall that during clear days, the sky often appears this color.",
-            answer="blue",
-        ),
-        dspy.Prediction(
-            rationale="Based on common knowledge, I believe the sky is typically seen as this color.",
-            answer="green",
-        ),
-        dspy.Prediction(
-            rationale="From images and depictions in media, the sky is frequently represented with this hue.",
-            answer="blue",
-        ),
-    ]
+class BasicQA(dspy.Signature):
+    """Answer questions with short factoid answers."""
+
+    question = dspy.InputField()
+    answer = dspy.OutputField(desc="often between 1 and 5 words")
+
 
+# Example completions generated by a model for reference
+completions = [
+    dspy.Prediction(
+        rationale="I recall that during clear days, the sky often appears this color.",
+        answer="blue",
+    ),
+    dspy.Prediction(
+        rationale="Based on common knowledge, I believe the sky is typically seen as this color.",
+        answer="green",
+    ),
+    dspy.Prediction(
+        rationale="From images and depictions in media, the sky is frequently represented with this hue.",
+        answer="blue",
+    ),
+]
+
+
+def test_basic_example():
     # Pass signature to MultiChainComparison module
     compare_answers = dspy.MultiChainComparison(BasicQA)
 
diff --git a/tests/predict/test_program_of_thought.py b/tests/predict/test_program_of_thought.py
index 007c4e664b..b936a4a8bc 100644
--- a/tests/predict/test_program_of_thought.py
+++ b/tests/predict/test_program_of_thought.py
@@ -1,4 +1,4 @@
-import textwrap
+import pytest
 
 import dspy
 from dspy import ProgramOfThought, Signature
diff --git a/tests/utils/test_asyncify.py b/tests/utils/test_asyncify.py
new file mode 100644
index 0000000000..01a109a934
--- /dev/null
+++ b/tests/utils/test_asyncify.py
@@ -0,0 +1,54 @@
+from time import time, sleep
+import asyncio
+
+import pytest
+
+import dspy
+from dspy.utils.asyncify import AsyncLimiter
+
+
+@pytest.mark.anyio
+async def test_async_limiter():
+    standard_limiter = AsyncLimiter.get()
+    assert standard_limiter.total_tokens == 8, "Default async capacity should be 8"
+    assert AsyncLimiter.get() == standard_limiter, "AsyncLimiter should be a singleton"
+
+    dspy.settings.configure(async_capacity=16)
+    assert AsyncLimiter.get() != standard_limiter, "AsyncLimiter should be a new singleton"
+    assert AsyncLimiter.get().total_tokens == 16, "Async capacity should be 16"
+    assert AsyncLimiter.get() == AsyncLimiter.get(), "AsyncLimiter should be a singleton"
+
+
+@pytest.mark.anyio
+async def test_asyncify():
+    def the_answer_to_life_the_universe_and_everything(wait: float):
+        sleep(wait)
+        return 42
+
+    the_question = dspy.asyncify(the_answer_to_life_the_universe_and_everything)
+
+    async def run_n_tasks(n: int, wait: float):
+        await asyncio.gather(*[the_question(wait) for _ in range(n)])
+
+    def set_async_capacity(capacity: int):
+        dspy.settings.configure(async_capacity=capacity)
+
+    async def assert_capacity(capacity: int, wait: float = 0.01, buffer: float = 0.1):
+        set_async_capacity(capacity)
+        t1 = time()
+        await run_n_tasks(capacity, wait)
+        t2 = time()
+        assert t2 - t1 < wait + buffer
+
+        t3 = time()
+        await run_n_tasks(capacity * 1, wait)
+        t4 = time()
+        assert t4 - t3 < (wait + buffer) * 2
+
+    await assert_capacity(1)
+    await assert_capacity(2)
+    await assert_capacity(4)
+    await assert_capacity(8)
+    await assert_capacity(16)
+    await assert_capacity(32)
+    await assert_capacity(64)

From ef459cc58e9e201eab7703862ad247ad05fad07d Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 17:52:44 -0500
Subject: [PATCH 02/11] Address some comments

---
 dspy/utils/asyncify.py                       |  4 +--
 tests/predict/test_chain_of_thought.py       |  2 --
 tests/predict/test_multi_chain_comparison.py |  1 -
 tests/predict/test_predict.py                | 33 +++++++++-----------
 tests/predict/test_program_of_thought.py     |  2 --
 5 files changed, 16 insertions(+), 26 deletions(-)

diff --git a/dspy/utils/asyncify.py b/dspy/utils/asyncify.py
index 6c19e30978..6872057605 100644
--- a/dspy/utils/asyncify.py
+++ b/dspy/utils/asyncify.py
@@ -2,7 +2,7 @@
 from typing import Awaitable, Optional, TypeVar, Callable
 
 from anyio import CapacityLimiter
-from asyncer import asyncify as __asyncify
+import asyncer
 
 if sys.version_info >= (3, 10):
     from typing import ParamSpec
@@ -30,4 +30,4 @@ def get(cls):
 def asyncify(
     program: Callable[T_ParamSpec, T_Retval],
 ) -> Callable[T_ParamSpec, Awaitable[T_Retval]]:
-    return __asyncify(program, abandon_on_cancel=True, limiter=AsyncLimiter.get())
+    return asyncer.asyncify(program, abandon_on_cancel=True, limiter=AsyncLimiter.get())
diff --git a/tests/predict/test_chain_of_thought.py b/tests/predict/test_chain_of_thought.py
index d7869b7e8e..04f73bb513 100644
--- a/tests/predict/test_chain_of_thought.py
+++ b/tests/predict/test_chain_of_thought.py
@@ -1,5 +1,3 @@
-import pytest
-
 import dspy
 from dspy import ChainOfThought
 from dspy.utils import DummyLM
diff --git a/tests/predict/test_multi_chain_comparison.py b/tests/predict/test_multi_chain_comparison.py
index e5da9fd433..39f7c18cc7 100644
--- a/tests/predict/test_multi_chain_comparison.py
+++ b/tests/predict/test_multi_chain_comparison.py
@@ -1,4 +1,3 @@
-import pytest
 import dspy
 from dspy.utils.dummies import DummyLM
 
diff --git a/tests/predict/test_predict.py b/tests/predict/test_predict.py
index 3fb4fce4e1..7f3aa43306 100644
--- a/tests/predict/test_predict.py
+++ b/tests/predict/test_predict.py
@@ -1,5 +1,4 @@
 import copy
-import textwrap
 
 import pydantic
 import ujson
@@ -126,9 +125,11 @@ class Output(pydantic.BaseModel):
     # Demos don't need to keep the same types after saving and loading the state.
     assert new_instance.demos[0]["input"] == original_instance.demos[0].input.model_dump_json()
 
+
 def test_signature_fields_after_dump_and_load_state(tmp_path):
     class CustomSignature(dspy.Signature):
         """I am just an instruction."""
+
         sentence = dspy.InputField(desc="I am an innocent input!")
         sentiment = dspy.OutputField()
 
@@ -138,6 +139,7 @@ class CustomSignature(dspy.Signature):
 
     class CustomSignature2(dspy.Signature):
         """I am not a pure instruction."""
+
         sentence = dspy.InputField(desc="I am a malicious input!")
         sentiment = dspy.OutputField(desc="I am a malicious output!", prefix="I am a prefix!")
 
@@ -220,46 +222,39 @@ class OutputOnlySignature(dspy.Signature):
     assert predictor().output == "short answer"
 
 
-
 def test_chainable_load(tmp_path):
     """Test both traditional and chainable load methods."""
-    
+
     file_path = tmp_path / "test_chainable.json"
-    
-    
+
     original = Predict("question -> answer")
     original.demos = [{"question": "test", "answer": "response"}]
     original.save(file_path)
-    
-    
+
     traditional = Predict("question -> answer")
     traditional.load(file_path)
     assert traditional.demos == original.demos
-    
-    
+
     chainable = Predict("question -> answer").load(file_path, return_self=True)
-    assert chainable is not None  
+    assert chainable is not None
     assert chainable.demos == original.demos
-    
-    
+
     assert chainable.signature.dump_state() == original.signature.dump_state()
-    
-    
+
     result = Predict("question -> answer").load(file_path)
     assert result is None
 
+
 def test_load_state_chaining():
     """Test that load_state returns self for chaining."""
     original = Predict("question -> answer")
     original.demos = [{"question": "test", "answer": "response"}]
     state = original.dump_state()
-    
-    
+
     new_instance = Predict("question -> answer").load_state(state)
     assert new_instance is not None
     assert new_instance.demos == original.demos
-    
-    
+
     legacy_instance = Predict("question -> answer").load_state(state, use_legacy_loading=True)
     assert legacy_instance is not None
-    assert legacy_instance.demos == original.demos
\ No newline at end of file
+    assert legacy_instance.demos == original.demos
diff --git a/tests/predict/test_program_of_thought.py b/tests/predict/test_program_of_thought.py
index b936a4a8bc..b03b7356ce 100644
--- a/tests/predict/test_program_of_thought.py
+++ b/tests/predict/test_program_of_thought.py
@@ -1,5 +1,3 @@
-import pytest
-
 import dspy
 from dspy import ProgramOfThought, Signature
 from dspy.utils import DummyLM

From fc33ba3efe33261fbaabcb5acb40113e63dc666c Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 17:59:48 -0500
Subject: [PATCH 03/11] Remove types from asyncify

---
 dspy/utils/asyncify.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/dspy/utils/asyncify.py b/dspy/utils/asyncify.py
index 6872057605..59bc5ee5e4 100644
--- a/dspy/utils/asyncify.py
+++ b/dspy/utils/asyncify.py
@@ -1,5 +1,5 @@
 import sys
-from typing import Awaitable, Optional, TypeVar, Callable
+from typing import Optional, TypeVar
 
 from anyio import CapacityLimiter
 import asyncer
@@ -27,7 +27,5 @@ def get(cls):
         return cls._limiter
 
 
-def asyncify(
-    program: Callable[T_ParamSpec, T_Retval],
-) -> Callable[T_ParamSpec, Awaitable[T_Retval]]:
+def asyncify(program):
     return asyncer.asyncify(program, abandon_on_cancel=True, limiter=AsyncLimiter.get())

From c55581737d041e487855c01043f2b7d5f92777f1 Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 18:00:57 -0500
Subject: [PATCH 04/11] Fix typo

---
 dspy/utils/asyncify.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/dspy/utils/asyncify.py b/dspy/utils/asyncify.py
index 59bc5ee5e4..f26b3c77fb 100644
--- a/dspy/utils/asyncify.py
+++ b/dspy/utils/asyncify.py
@@ -21,8 +21,8 @@ class AsyncLimiter:
     def get(cls):
         import dspy
 
-        if cls._limiter is None or cls._limiter.total_tokens != dspy.settings.max_async_workers:
-            cls._limiter = CapacityLimiter(dspy.settings.max_async_workers)
+        if cls._limiter is None or cls._limiter.total_tokens != dspy.settings.async_max_workers:
+            cls._limiter = CapacityLimiter(dspy.settings.async_max_workers)
 
         return cls._limiter
 

From 1a5e04fbc00e2d29a71e7f185758d67d72097b90 Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 18:03:53 -0500
Subject: [PATCH 05/11] Relax anyio version req

---
 pyproject.toml   | 2 +-
 requirements.txt | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 2e53c31b41..ae10d1ad88 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -42,7 +42,7 @@ dependencies = [
     "diskcache",
     "json-repair",
     "tenacity>=8.2.3",
-    "anyio==4.6.2.post1",
+    "anyio",
     "asyncer==0.0.8",
 ]
 
diff --git a/requirements.txt b/requirements.txt
index eb99bc5296..31874b1c9a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -15,5 +15,5 @@ requests
 tenacity>=8.2.3
 tqdm
 ujson
-anyio==4.6.2.post1
+anyio
 asyncer==0.0.8

From 764eb2d73f56de661afa4bf8720ff75b51ddf5dc Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 18:03:59 -0500
Subject: [PATCH 06/11] Remove unnecessary imports

---
 dspy/utils/asyncify.py | 12 +-----------
 1 file changed, 1 insertion(+), 11 deletions(-)

diff --git a/dspy/utils/asyncify.py b/dspy/utils/asyncify.py
index f26b3c77fb..837b54cfc7 100644
--- a/dspy/utils/asyncify.py
+++ b/dspy/utils/asyncify.py
@@ -1,18 +1,8 @@
-import sys
-from typing import Optional, TypeVar
+from typing import Optional
 
 from anyio import CapacityLimiter
 import asyncer
 
-if sys.version_info >= (3, 10):
-    from typing import ParamSpec
-else:
-    from typing_extensions import ParamSpec
-
-T_Retval = TypeVar("T_Retval")
-T_ParamSpec = ParamSpec("T_ParamSpec")
-T = TypeVar("T")
-
 
 class AsyncLimiter:
     _limiter: Optional[CapacityLimiter] = None

From 8d16e610961255bfe5a27400656af6eb2140a942 Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 18:06:36 -0500
Subject: [PATCH 07/11] Fix test

---
 dspy/utils/asyncify.py       |  4 +++-
 tests/utils/test_asyncify.py | 28 ++++++++++------------------
 2 files changed, 13 insertions(+), 19 deletions(-)

diff --git a/dspy/utils/asyncify.py b/dspy/utils/asyncify.py
index 837b54cfc7..797862fbe1 100644
--- a/dspy/utils/asyncify.py
+++ b/dspy/utils/asyncify.py
@@ -11,8 +11,10 @@ class AsyncLimiter:
     def get(cls):
         import dspy
 
-        if cls._limiter is None or cls._limiter.total_tokens != dspy.settings.async_max_workers:
+        if cls._limiter is None:
             cls._limiter = CapacityLimiter(dspy.settings.async_max_workers)
+        elif cls._limiter.total_tokens != dspy.settings.async_max_workers:
+            cls._limiter.total_tokens = dspy.settings.async_max_workers
 
         return cls._limiter
 
diff --git a/tests/utils/test_asyncify.py b/tests/utils/test_asyncify.py
index 01a109a934..18670046fa 100644
--- a/tests/utils/test_asyncify.py
+++ b/tests/utils/test_asyncify.py
@@ -9,12 +9,12 @@
 
 @pytest.mark.anyio
 async def test_async_limiter():
-    standard_limiter = AsyncLimiter.get()
-    assert standard_limiter.total_tokens == 8, "Default async capacity should be 8"
-    assert AsyncLimiter.get() == standard_limiter, "AsyncLimiter should be a singleton"
+    limiter = AsyncLimiter.get()
+    assert limiter.total_tokens == 8, "Default async capacity should be 8"
+    assert AsyncLimiter.get() == limiter, "AsyncLimiter should be a singleton"
 
-    dspy.settings.configure(async_capacity=16)
-    assert AsyncLimiter.get() != standard_limiter, "AsyncLimiter should be a new singleton"
+    dspy.settings.configure(async_max_workers=16)
+    assert AsyncLimiter.get() == limiter, "AsyncLimiter should be a singleton"
     assert AsyncLimiter.get().total_tokens == 16, "Async capacity should be 16"
     assert AsyncLimiter.get() == AsyncLimiter.get(), "AsyncLimiter should be a singleton"
 
@@ -25,16 +25,13 @@ def the_answer_to_life_the_universe_and_everything(wait: float):
         sleep(wait)
         return 42
 
-    the_question = dspy.asyncify(the_answer_to_life_the_universe_and_everything)
+    ask_the_question = dspy.asyncify(the_answer_to_life_the_universe_and_everything)
 
     async def run_n_tasks(n: int, wait: float):
-        await asyncio.gather(*[the_question(wait) for _ in range(n)])
-
-    def set_async_capacity(capacity: int):
-        dspy.settings.configure(async_capacity=capacity)
+        await asyncio.gather(*[ask_the_question(wait) for _ in range(n)])
 
     async def assert_capacity(capacity: int, wait: float = 0.01, buffer: float = 0.1):
-        set_async_capacity(capacity)
+        dspy.settings.configure(async_max_workers=capacity)
         t1 = time()
         await run_n_tasks(capacity, wait)
         t2 = time()
@@ -45,10 +42,5 @@ async def assert_capacity(capacity: int, wait: float = 0.01, buffer: float = 0.1
         t4 = time()
         assert t4 - t3 < (wait + buffer) * 2
 
-    await assert_capacity(1)
-    await assert_capacity(2)
-    await assert_capacity(4)
-    await assert_capacity(8)
-    await assert_capacity(16)
-    await assert_capacity(32)
-    await assert_capacity(64)
+    for n in [1, 2, 4, 8, 16, 32, 64]:
+        await assert_capacity(n)

From 2be56c1e88c6632a5bb17db9a9a647125f4f11c8 Mon Sep 17 00:00:00 2001
From: Cyrus Nouroozi <cyrus@zenbase.ai>
Date: Fri, 15 Nov 2024 18:10:03 -0500
Subject: [PATCH 08/11] Simplify limiter

---
 dspy/utils/asyncify.py       | 30 +++++++++++++++++-------------
 tests/utils/test_asyncify.py | 12 ++++++------
 2 files changed, 23 insertions(+), 19 deletions(-)

diff --git a/dspy/utils/asyncify.py b/dspy/utils/asyncify.py
index 797862fbe1..8cd8062987 100644
--- a/dspy/utils/asyncify.py
+++ b/dspy/utils/asyncify.py
@@ -1,23 +1,27 @@
-from typing import Optional
-
 from anyio import CapacityLimiter
 import asyncer
 
 
-class AsyncLimiter:
-    _limiter: Optional[CapacityLimiter] = None
+_limiter = None
+
+
+def get_async_max_workers():
+    import dspy
+
+    return dspy.settings.async_max_workers
+
 
-    @classmethod
-    def get(cls):
-        import dspy
+def get_limiter():
+    async_max_workers = get_async_max_workers()
 
-        if cls._limiter is None:
-            cls._limiter = CapacityLimiter(dspy.settings.async_max_workers)
-        elif cls._limiter.total_tokens != dspy.settings.async_max_workers:
-            cls._limiter.total_tokens = dspy.settings.async_max_workers
+    global _limiter
+    if _limiter is None:
+        _limiter = CapacityLimiter(async_max_workers)
+    elif _limiter.total_tokens != async_max_workers:
+        _limiter.total_tokens = async_max_workers
 
-        return cls._limiter
+    return _limiter
 
 
 def asyncify(program):
-    return asyncer.asyncify(program, abandon_on_cancel=True, limiter=AsyncLimiter.get())
+    return asyncer.asyncify(program, abandon_on_cancel=True, limiter=get_limiter())
diff --git a/tests/utils/test_asyncify.py b/tests/utils/test_asyncify.py
index 18670046fa..75f9ddd286 100644
--- a/tests/utils/test_asyncify.py
+++ b/tests/utils/test_asyncify.py
@@ -4,19 +4,19 @@
 import pytest
 
 import dspy
-from dspy.utils.asyncify import AsyncLimiter
+from dspy.utils.asyncify import get_limiter
 
 
 @pytest.mark.anyio
 async def test_async_limiter():
-    limiter = AsyncLimiter.get()
+    limiter = get_limiter()
     assert limiter.total_tokens == 8, "Default async capacity should be 8"
-    assert AsyncLimiter.get() == limiter, "AsyncLimiter should be a singleton"
+    assert get_limiter() == limiter, "AsyncLimiter should be a singleton"
 
     dspy.settings.configure(async_max_workers=16)
-    assert AsyncLimiter.get() == limiter, "AsyncLimiter should be a singleton"
-    assert AsyncLimiter.get().total_tokens == 16, "Async capacity should be 16"
-    assert AsyncLimiter.get() == AsyncLimiter.get(), "AsyncLimiter should be a singleton"
+    assert get_limiter() == limiter, "AsyncLimiter should be a singleton"
+    assert get_limiter().total_tokens == 16, "Async capacity should be 16"
+    assert get_limiter() == get_limiter(), "AsyncLimiter should be a singleton"
 
 
 @pytest.mark.anyio

From d9c92a5f48fa8a73ff465301de63199a29083843 Mon Sep 17 00:00:00 2001
From: Chen Qian <chen.qian@databricks.com>
Date: Fri, 15 Nov 2024 15:33:08 -0800
Subject: [PATCH 09/11] Add deployment guide (#1804)

* Add deployment guide

* move files

* add sync

* Update doc to use asyncify

---------

Co-authored-by: Cyrus Nouroozi <cyrus@zenbase.ai>
---
 .../tutorials/deployment/deploy_dspy_model.md | 181 ++++++++++++++++++
 .../tutorials/deployment/dspy_mlflow_ui.png   | Bin 0 -> 156032 bytes
 2 files changed, 181 insertions(+)
 create mode 100644 docs/docs/tutorials/deployment/deploy_dspy_model.md
 create mode 100644 docs/docs/tutorials/deployment/dspy_mlflow_ui.png

diff --git a/docs/docs/tutorials/deployment/deploy_dspy_model.md b/docs/docs/tutorials/deployment/deploy_dspy_model.md
new file mode 100644
index 0000000000..a174dc7f87
--- /dev/null
+++ b/docs/docs/tutorials/deployment/deploy_dspy_model.md
@@ -0,0 +1,181 @@
+# Deploy DSPy Model
+
+This guide demonstrates two popular approaches to deploy your DSPy models in production:
+
+1. FastAPI - For simple, lightweight deployments with direct model access
+2. MLflow - For production-grade deployments with model versioning and management
+
+## Deploying with FastAPI
+
+FastAPI offers a quick and straightforward way to serve your DSPy model as a REST API. This approach is ideal when you have direct access to your model code and need a lightweight deployment solution.
+
+Before we get started, let's install the required libraries:
+
+```bash
+pip install fastapi uvicorn
+```
+
+And remember to set your OpenAI API key which is used by our example:
+
+```bash
+export OPENAI_API_KEY="your-openai-api-key"
+```
+
+Here's a minimal example of a DSPy model:
+
+```python
+import dspy
+
+lm = dspy.LM("openai/gpt-4o-mini")
+dspy.settings.configure(lm=lm)
+dspy_model = dspy.ChainOfThought("question -> answer")
+```
+
+Create a FastAPI application to serve this model:
+
+```python
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+
+import dspy
+
+app = FastAPI(
+    title="DSPy Model API",
+    description="A simple API serving a DSPy Chain of Thought model",
+    version="1.0.0"
+)
+
+# Define request model for better documentation and validation
+class Question(BaseModel):
+    text: str
+
+# Configure your language model and Chain of Thought
+lm = dspy.LM("openai/gpt-4o-mini")
+dspy.settings.configure(lm=lm, async_max_workers=4) # default is 8
+dspy_model = dspy.asyncify(dspy.ChainOfThought("question -> answer"))
+
+@app.post("/predict")
+async def predict(question: Question):
+    try:
+        result = await dspy_model(question=question.text)
+        return {
+            "status": "success",
+            "data": result.toDict()
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+```
+
+Save your code in a file, e.g., `fastapi_dspy.py`. Then you can run the app with:
+
+```bash
+uvicorn fastapi_dspy:app --reload
+```
+
+It will start a local server at `http://127.0.0.1:8000/`. You can test it with the python code below:
+
+```python
+import requests
+
+response = requests.post(
+    "http://127.0.0.1:8000/predict",
+    json={"text": "What is the capital of France?"}
+)
+print(response.json())
+```
+
+You should see the response like below:
+
+```json
+{'status': 'success', 'data': {'reasoning': 'The capital of France is a well-known fact, commonly taught in geography classes and referenced in various contexts. Paris is recognized globally as the capital city, serving as the political, cultural, and economic center of the country.', 'answer': 'The capital of France is Paris.'}}
+```
+
+## Deploying with MLflow
+
+We recommend deploying with MLflow if you are looking for a solution to package your DSPy model and deploy in an isolated environment.
+MLflow is a popular platform for managing machine learning workflows, including model versioning, tracking, and deployment.
+
+Let's first install the required libraries:
+
+```bash
+pip install mlflow>=2.18.0
+```
+
+Let's spin up the MLflow tracking server, where we will store our DSPy model. The command below will start a local server at
+`http://127.0.0.1:5000/`.
+
+```bash
+mlflow ui
+```
+
+Then we can define the DSPy model and log it to the MLflow server. "log" is an overloaded term in MLflow, basically it means
+we store the model information along with environment requirements in the MLflow server. See the code below:
+
+```python
+import dspy
+import mlflow
+
+mlflow.set_tracking_uri("http://127.0.0.1:5000/")
+mlflow.set_experiment("deploy_dspy_model")
+
+lm = dspy.LM("openai/gpt-4o-mini")
+dspy.settings.configure(lm=lm)
+dspy_model = dspy.ChainOfThought("question -> answer")
+
+with mlflow.start_run():
+    mlflow.dspy.log_model(
+        dspy_model,
+        "dspy_model",
+        input_example={"messages": [{"role": "user", "content": "What is LLM agent?"}]},
+        task="llm/v1/chat",
+    )
+```
+
+We recommend you to set `task="llm/v1/chat"` so that the deployed model automatically takes input and generate output in
+the same format as the OpenAI chat API, which is a common interface for LLM applications nowadays. Save the code above in
+a file, e.g., `mlflow_dspy.py`, and run it.
+
+After you logged the model, you can view the saved information in MLflow UI. Open `http://127.0.0.1:5000/` and select
+the `deploy_dspy_model` experiment, then select the run your just created, under the `Artifacts` tab, you should see the
+logged model information, similar to the following screenshot:
+
+![MLflow UI](./dspy_mlflow_ui.png)
+
+Grab your run id from UI (or the console print when you execute `mlflow_dspy.py`), now you can deploy the logged model
+with the following command:
+
+```bash
+mlflow models serve -m runs:/{run_id}/model -p 6000
+```
+
+After the model is deployed, you can test it with the following command:
+
+```bash
+curl http://127.0.0.1:6000/invocations -H "Content-Type:application/json"  --data '{"messages": [{"content": "what is 2 + 2?", "role": "user"}]}'
+```
+
+You should see the response like below:
+
+```json
+{"choices": [{"index": 0, "message": {"role": "assistant", "content": "{\"reasoning\": \"The question asks for the sum of 2 and 2. To find the answer, we simply add the two numbers together: 2 + 2 = 4.\", \"answer\": \"4\"}"}, "finish_reason": "stop"}]}
+```
+
+For complete guide on how to deploy a DSPy model with MLflow, and how to customize the deployment, please refer to the
+[MLflow documentation](https://mlflow.org/docs/latest/llms/dspy/index.html).
+
+### Best Practices for MLflow Deployment
+
+1. **Environment Management**: Always specify your Python dependencies in a `conda.yaml` or `requirements.txt` file.
+2. **Model Versioning**: Use meaningful tags and descriptions for your model versions.
+3. **Input Validation**: Define clear input schemas and examples.
+4. **Monitoring**: Set up proper logging and monitoring for production deployments.
+
+For production deployments, consider using MLflow with containerization:
+
+```bash
+mlflow models build-docker -m "runs:/{run_id}/model" -n "dspy-model"
+docker run -p 6000:8080 dspy-model
+```
+
+For a complete guide on production deployment options and best practices, refer to the
+[MLflow documentation](https://mlflow.org/docs/latest/llms/dspy/index.html).
diff --git a/docs/docs/tutorials/deployment/dspy_mlflow_ui.png b/docs/docs/tutorials/deployment/dspy_mlflow_ui.png
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HcmV?d00001


From ddeeec94bf73181be262f15b51c0642178c52091 Mon Sep 17 00:00:00 2001
From: chenmoneygithub <chen.qian@databricks.com>
Date: Fri, 15 Nov 2024 17:02:27 -0800
Subject: [PATCH 10/11] deflake

---
 tests/utils/test_asyncify.py | 35 ++++++++++++++++++++++-------------
 1 file changed, 22 insertions(+), 13 deletions(-)

diff --git a/tests/utils/test_asyncify.py b/tests/utils/test_asyncify.py
index 75f9ddd286..37e268bd83 100644
--- a/tests/utils/test_asyncify.py
+++ b/tests/utils/test_asyncify.py
@@ -1,6 +1,7 @@
 from time import time, sleep
 import asyncio
 
+import math
 import pytest
 
 import dspy
@@ -30,17 +31,25 @@ def the_answer_to_life_the_universe_and_everything(wait: float):
     async def run_n_tasks(n: int, wait: float):
         await asyncio.gather(*[ask_the_question(wait) for _ in range(n)])
 
-    async def assert_capacity(capacity: int, wait: float = 0.01, buffer: float = 0.1):
+    async def verify_asyncify(capacity: int, number_of_tasks: int, wait: float = 0.5):
         dspy.settings.configure(async_max_workers=capacity)
-        t1 = time()
-        await run_n_tasks(capacity, wait)
-        t2 = time()
-        assert t2 - t1 < wait + buffer
-
-        t3 = time()
-        await run_n_tasks(capacity * 1, wait)
-        t4 = time()
-        assert t4 - t3 < (wait + buffer) * 2
-
-    for n in [1, 2, 4, 8, 16, 32, 64]:
-        await assert_capacity(n)
+
+        start = time()
+        await run_n_tasks(number_of_tasks, wait)
+        end = time()
+        total_time = end - start
+
+        # If asyncify is working correctly, the total time should be less than the total number of loops
+        # `(number_of_tasks / capacity)` times wait time, plus the computational overhead. The lower bound should
+        # be `math.floor(number_of_tasks * 1.0 / capacity) * wait` because there are more than
+        # `math.floor(number_of_tasks * 1.0 / capacity)` loops.
+        lower_bound = math.floor(number_of_tasks * 1.0 / capacity) * wait
+        upper_bound = math.ceil(number_of_tasks * 1.0 / capacity) * wait + 2 * wait  # 2*wait for buffer
+
+        assert lower_bound < total_time < upper_bound
+
+    await verify_asyncify(4, 10)
+    await verify_asyncify(8, 15)
+    await verify_asyncify(8, 30)
+
+

From 994a27a613c26881817e38e91a219b8612d70e4f Mon Sep 17 00:00:00 2001
From: chenmoneygithub <chen.qian@databricks.com>
Date: Fri, 15 Nov 2024 17:14:27 -0800
Subject: [PATCH 11/11] remove the deployment guide for clarity

---
 .../tutorials/deployment/deploy_dspy_model.md | 181 ------------------
 .../tutorials/deployment/dspy_mlflow_ui.png   | Bin 156032 -> 0 bytes
 2 files changed, 181 deletions(-)
 delete mode 100644 docs/docs/tutorials/deployment/deploy_dspy_model.md
 delete mode 100644 docs/docs/tutorials/deployment/dspy_mlflow_ui.png

diff --git a/docs/docs/tutorials/deployment/deploy_dspy_model.md b/docs/docs/tutorials/deployment/deploy_dspy_model.md
deleted file mode 100644
index a174dc7f87..0000000000
--- a/docs/docs/tutorials/deployment/deploy_dspy_model.md
+++ /dev/null
@@ -1,181 +0,0 @@
-# Deploy DSPy Model
-
-This guide demonstrates two popular approaches to deploy your DSPy models in production:
-
-1. FastAPI - For simple, lightweight deployments with direct model access
-2. MLflow - For production-grade deployments with model versioning and management
-
-## Deploying with FastAPI
-
-FastAPI offers a quick and straightforward way to serve your DSPy model as a REST API. This approach is ideal when you have direct access to your model code and need a lightweight deployment solution.
-
-Before we get started, let's install the required libraries:
-
-```bash
-pip install fastapi uvicorn
-```
-
-And remember to set your OpenAI API key which is used by our example:
-
-```bash
-export OPENAI_API_KEY="your-openai-api-key"
-```
-
-Here's a minimal example of a DSPy model:
-
-```python
-import dspy
-
-lm = dspy.LM("openai/gpt-4o-mini")
-dspy.settings.configure(lm=lm)
-dspy_model = dspy.ChainOfThought("question -> answer")
-```
-
-Create a FastAPI application to serve this model:
-
-```python
-from fastapi import FastAPI, HTTPException
-from pydantic import BaseModel
-
-import dspy
-
-app = FastAPI(
-    title="DSPy Model API",
-    description="A simple API serving a DSPy Chain of Thought model",
-    version="1.0.0"
-)
-
-# Define request model for better documentation and validation
-class Question(BaseModel):
-    text: str
-
-# Configure your language model and Chain of Thought
-lm = dspy.LM("openai/gpt-4o-mini")
-dspy.settings.configure(lm=lm, async_max_workers=4) # default is 8
-dspy_model = dspy.asyncify(dspy.ChainOfThought("question -> answer"))
-
-@app.post("/predict")
-async def predict(question: Question):
-    try:
-        result = await dspy_model(question=question.text)
-        return {
-            "status": "success",
-            "data": result.toDict()
-        }
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))
-```
-
-Save your code in a file, e.g., `fastapi_dspy.py`. Then you can run the app with:
-
-```bash
-uvicorn fastapi_dspy:app --reload
-```
-
-It will start a local server at `http://127.0.0.1:8000/`. You can test it with the python code below:
-
-```python
-import requests
-
-response = requests.post(
-    "http://127.0.0.1:8000/predict",
-    json={"text": "What is the capital of France?"}
-)
-print(response.json())
-```
-
-You should see the response like below:
-
-```json
-{'status': 'success', 'data': {'reasoning': 'The capital of France is a well-known fact, commonly taught in geography classes and referenced in various contexts. Paris is recognized globally as the capital city, serving as the political, cultural, and economic center of the country.', 'answer': 'The capital of France is Paris.'}}
-```
-
-## Deploying with MLflow
-
-We recommend deploying with MLflow if you are looking for a solution to package your DSPy model and deploy in an isolated environment.
-MLflow is a popular platform for managing machine learning workflows, including model versioning, tracking, and deployment.
-
-Let's first install the required libraries:
-
-```bash
-pip install mlflow>=2.18.0
-```
-
-Let's spin up the MLflow tracking server, where we will store our DSPy model. The command below will start a local server at
-`http://127.0.0.1:5000/`.
-
-```bash
-mlflow ui
-```
-
-Then we can define the DSPy model and log it to the MLflow server. "log" is an overloaded term in MLflow, basically it means
-we store the model information along with environment requirements in the MLflow server. See the code below:
-
-```python
-import dspy
-import mlflow
-
-mlflow.set_tracking_uri("http://127.0.0.1:5000/")
-mlflow.set_experiment("deploy_dspy_model")
-
-lm = dspy.LM("openai/gpt-4o-mini")
-dspy.settings.configure(lm=lm)
-dspy_model = dspy.ChainOfThought("question -> answer")
-
-with mlflow.start_run():
-    mlflow.dspy.log_model(
-        dspy_model,
-        "dspy_model",
-        input_example={"messages": [{"role": "user", "content": "What is LLM agent?"}]},
-        task="llm/v1/chat",
-    )
-```
-
-We recommend you to set `task="llm/v1/chat"` so that the deployed model automatically takes input and generate output in
-the same format as the OpenAI chat API, which is a common interface for LLM applications nowadays. Save the code above in
-a file, e.g., `mlflow_dspy.py`, and run it.
-
-After you logged the model, you can view the saved information in MLflow UI. Open `http://127.0.0.1:5000/` and select
-the `deploy_dspy_model` experiment, then select the run your just created, under the `Artifacts` tab, you should see the
-logged model information, similar to the following screenshot:
-
-![MLflow UI](./dspy_mlflow_ui.png)
-
-Grab your run id from UI (or the console print when you execute `mlflow_dspy.py`), now you can deploy the logged model
-with the following command:
-
-```bash
-mlflow models serve -m runs:/{run_id}/model -p 6000
-```
-
-After the model is deployed, you can test it with the following command:
-
-```bash
-curl http://127.0.0.1:6000/invocations -H "Content-Type:application/json"  --data '{"messages": [{"content": "what is 2 + 2?", "role": "user"}]}'
-```
-
-You should see the response like below:
-
-```json
-{"choices": [{"index": 0, "message": {"role": "assistant", "content": "{\"reasoning\": \"The question asks for the sum of 2 and 2. To find the answer, we simply add the two numbers together: 2 + 2 = 4.\", \"answer\": \"4\"}"}, "finish_reason": "stop"}]}
-```
-
-For complete guide on how to deploy a DSPy model with MLflow, and how to customize the deployment, please refer to the
-[MLflow documentation](https://mlflow.org/docs/latest/llms/dspy/index.html).
-
-### Best Practices for MLflow Deployment
-
-1. **Environment Management**: Always specify your Python dependencies in a `conda.yaml` or `requirements.txt` file.
-2. **Model Versioning**: Use meaningful tags and descriptions for your model versions.
-3. **Input Validation**: Define clear input schemas and examples.
-4. **Monitoring**: Set up proper logging and monitoring for production deployments.
-
-For production deployments, consider using MLflow with containerization:
-
-```bash
-mlflow models build-docker -m "runs:/{run_id}/model" -n "dspy-model"
-docker run -p 6000:8080 dspy-model
-```
-
-For a complete guide on production deployment options and best practices, refer to the
-[MLflow documentation](https://mlflow.org/docs/latest/llms/dspy/index.html).
diff --git a/docs/docs/tutorials/deployment/dspy_mlflow_ui.png b/docs/docs/tutorials/deployment/dspy_mlflow_ui.png
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