diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a9c1bf8c..7406fedc 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -13,6 +13,7 @@ repos:
         entry: black
         language: python
         files: \.py$
+        exclude: ^(.*pb2.*|.*\.pyi)$
   - repo: local
     hooks:
       - id: isort
@@ -20,6 +21,7 @@ repos:
         entry: isort
         language: python
         files: \.py$
+        exclude: ^(.*pb2.*|.*\.pyi)$
   - repo: local
     hooks:
       - id: mypy
@@ -32,10 +34,11 @@ repos:
     hooks:
       - id: pyupgrade
         args: [--py39-plus]
+        exclude: ^(.*pb2.*|.*\.pyi)$
   - repo: https://github.com/charliermarsh/ruff-pre-commit
     rev: v0.6.9
     hooks:
       - id: ruff
         args:
           - --fix
-        exclude: ^(tests/.*|examples/.*|docs/.*)$
+        exclude: ^(tests/.*|examples/.*|docs/.*|.*pb2.*|.*\.pyi)$
diff --git a/docs/index.rst b/docs/index.rst
index 9958cf85..504763e2 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -48,8 +48,7 @@ Creating a client
 Dependencies
 ============
 
-* python 3.7+
-* zeebe-grpc
+* python 3.9+
 * grpcio
 * protobuf
 * oauthlib
diff --git a/poetry.lock b/poetry.lock
index 9bf20deb..45769c06 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
 name = "alabaster"
@@ -109,123 +109,125 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
+    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
 ]
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
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 python-versions = ">=3.7"
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 [package.dependencies]
@@ -350,13 +352,13 @@ files = [
 
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+protobuf = ">=5.26.1,<6.0dev"
+setuptools = "*"
 
 [[package]]
 name = "idna"
@@ -532,72 +603,72 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "markupsafe"
-version = "3.0.0"
+version = "3.0.2"
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 optional = false
 python-versions = ">=3.9"
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+types-protobuf = ">=4.24"
+
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 name = "oauthlib"
 version = "3.2.2"
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 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
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 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -746,22 +832,22 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
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 python-versions = ">=3.8"
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+enabler = ["pytest-enabler (>=2.2)"]
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+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -1186,13 +1292,43 @@ test = ["pytest"]
 
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+    {file = "tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4"},
+    {file = "tomli-2.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7"},
+    {file = "tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c"},
+    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13"},
+    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281"},
+    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272"},
+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140"},
+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2"},
+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744"},
+    {file = "tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec"},
+    {file = "tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69"},
+    {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
+    {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
 ]
 
 [[package]]
@@ -1217,15 +1353,26 @@ files = [
     {file = "types_oauthlib-3.2.0.20240806-py3-none-any.whl", hash = "sha256:581bb8e194700d16ae1f0b62a6039261ed1afd0b88e78782e1c48f6507c52f34"},
 ]
 
+[[package]]
+name = "types-protobuf"
+version = "5.29.1.20241207"
+description = "Typing stubs for protobuf"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types_protobuf-5.29.1.20241207-py3-none-any.whl", hash = "sha256:92893c42083e9b718c678badc0af7a9a1307b92afe1599e5cba5f3d35b668b2f"},
+    {file = "types_protobuf-5.29.1.20241207.tar.gz", hash = "sha256:2ebcadb8ab3ef2e3e2f067e0882906d64ba0dc65fc5b0fd7a8b692315b4a0be9"},
+]
+
 [[package]]
 name = "types-requests"
-version = "2.32.0.20240914"
+version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.32.0.20240914.tar.gz", hash = "sha256:2850e178db3919d9bf809e434eef65ba49d0e7e33ac92d588f4a5e295fffd405"},
-    {file = "types_requests-2.32.0.20240914-py3-none-any.whl", hash = "sha256:59c2f673eb55f32a99b2894faf6020e1a9f4a402ad0f192bfee0b64469054310"},
+    {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
+    {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
 ]
 
 [package.dependencies]
@@ -1259,13 +1406,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.extras]
@@ -1274,30 +1421,15 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "zeebe-grpc"
-version = "8.4.13"
-description = "zeebe Python gRPC Gateway"
-optional = false
-python-versions = "*"
-files = [
-    {file = "zeebe_grpc-8.4.13-py3-none-any.whl", hash = "sha256:eeff91bb9b1cbb4844590ea0381ee5f9bfc87d2848d95d8fdfd3de693706e6ca"},
-    {file = "zeebe_grpc-8.4.13.tar.gz", hash = "sha256:6036494373e06c1fe31d90a335d13ed60b7d0c8c2af2b46b31440ab5259c29cc"},
-]
-
-[package.dependencies]
-grpcio = ">=1.49,<2.0"
-protobuf = ">=4.21,<5.0"
-
 [[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]
@@ -1311,4 +1443,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "e363708bb9784779feaaa6e3d3929b571119b18eed4938fd12aadec02366f96b"
+content-hash = "47a7b6e10e9e7358786ba0ec84f862d5a9276e7879a8f921d5d45ca7af6f3e47"
diff --git a/pyproject.toml b/pyproject.toml
index 0231e720..4cd2ce94 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,11 +23,12 @@ packages = [
 
 [tool.poetry.dependencies]
 python = "^3.9"
+anyio = "^4.6.0"
+grpcio = "^1.66"
+protobuf = "^5.28"
 oauthlib = "^3.1.0"
 requests-oauthlib = ">=1.3.0,<3.0.0"
-zeebe-grpc = "^8.4.0"
 typing-extensions = "^4.11.0"
-anyio = "^4.6.0"
 
 [tool.poetry.group.dev.dependencies]
 pytest = ">=7.4,<9.0"
@@ -41,10 +42,13 @@ coveralls = "^3.3.1"
 responses = ">=0.23.2,<0.26.0"
 sphinx-rtd-theme = ">=3.0.0,<3.1.0"
 sphinx = ">=6,<8"
+grpcio-tools = "^1.66"
+mypy-protobuf = "^3.6"
 
 [tool.poetry.group.stubs.dependencies]
 types-oauthlib = "^3.1.0"
 types-requests-oauthlib = ">=1.3.0,<3.0.0"
+types-protobuf = "^5.29.1.20241207"
 
 [tool.mypy]
 python_version = "3.9"
@@ -52,22 +56,29 @@ packages = ["pyzeebe"]
 strict = true
 
 [[tool.mypy.overrides]]
-module = [
-  "grpc",
-  "zeebe_grpc.gateway_pb2",
-  "zeebe_grpc.gateway_pb2_grpc",
-]
+module = "grpc"
 ignore_missing_imports = true
 
+[[tool.mypy.overrides]]
+module = "pyzeebe.proto.*"
+disable_error_code = ["import-untyped", "unused-ignore"] # "type-arg"
+
 [tool.pylint.master]
 max-line-length = 120
 disable = ["C0114", "C0115", "C0116"]
 
 [tool.black]
 line-length = 120
+extend-exclude = '''
+(
+  .*_pb2.py  # exclude autogenerated Protocol Buffer files anywhere in the project
+  | .*_pb2_grpc.py
+)
+'''
 
 [tool.isort]
 profile = "black"
+extend_skip_glob = ["*_pb2.py", "*_pb2_grpc.py", "*.pyi"]
 
 [tool.pytest.ini_options]
 asyncio_mode = "auto"
@@ -75,6 +86,11 @@ markers = [
     "e2e: end to end tests",
 ]
 
+[tool.coverage.run]
+omit = [
+    "pyzeebe/proto/*"
+]
+
 [tool.ruff]
 target-version = "py39"
 
@@ -94,6 +110,9 @@ ignore = [
     "E501",   # line too long, handled by black
 ]
 
+[tool.ruff.lint.per-file-ignores]
+"update_proto.py" = ["T201"]
+
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
diff --git a/pyzeebe/grpc_internals/types.py b/pyzeebe/grpc_internals/types.py
index 55e9f8d7..494945cf 100644
--- a/pyzeebe/grpc_internals/types.py
+++ b/pyzeebe/grpc_internals/types.py
@@ -7,36 +7,40 @@
 
 @dataclass(frozen=True)
 class CreateProcessInstanceResponse:
-    #: the key of the process definition which was used to create the process instance
     process_definition_key: int
-    #: the BPMN process ID of the process definition which was used to create the process
-    #: instance
+    """the key of the process definition which was used to create the process instance"""
     bpmn_process_id: str
-    #: the version of the process definition which was used to create the process instance
+    """the BPMN process ID of the process definition which was used to create the process
+    instance
+    """
     version: int
-    #: the unique identifier of the created process instance; to be used wherever a request
-    #: needs a process instance key (e.g. CancelProcessInstanceRequest)
+    """the version of the process definition which was used to create the process instance"""
     process_instance_key: int
-    #: the tenant ID of the created process instance
+    """the unique identifier of the created process instance; to be used wherever a request
+    needs a process instance key (e.g. CancelProcessInstanceRequest)
+    """
     tenant_id: str | None
+    """the tenant ID of the created process instance"""
 
 
 @dataclass(frozen=True)
 class CreateProcessInstanceWithResultResponse:
-    #: the key of the process definition which was used to create the process instance
     process_definition_key: int
-    #: the BPMN process ID of the process definition which was used to create the process
-    #: instance
+    """the key of the process definition which was used to create the process instance"""
     bpmn_process_id: str
-    #: the version of the process definition which was used to create the process instance
+    """the BPMN process ID of the process definition which was used to create the process
+    instance
+    """
     version: int
-    #: the unique identifier of the created process instance; to be used wherever a request
-    #: needs a process instance key (e.g. CancelProcessInstanceRequest)
+    """the version of the process definition which was used to create the process instance"""
     process_instance_key: int
-    #: consisting of all visible variables to the root scope
+    """the unique identifier of the created process instance; to be used wherever a request
+    needs a process instance key (e.g. CancelProcessInstanceRequest)
+    """
     variables: Variables
-    #: the tenant ID of the process definition
+    """consisting of all visible variables to the root scope"""
     tenant_id: str | None
+    """the tenant ID of the created process instance"""
 
 
 @dataclass(frozen=True)
@@ -48,85 +52,94 @@ class CancelProcessInstanceResponse:
 class DeployResourceResponse:
     @dataclass(frozen=True)
     class ProcessMetadata:
-        #: the bpmn process ID, as parsed during deployment; together with the version forms a
-        #: unique identifier for a specific process definition
         bpmn_process_id: str
-        #: the assigned process version
+        """the bpmn process ID, as parsed during deployment; together with the version forms a
+        unique identifier for a specific process definition
+        """
         version: int
-        #: the assigned key, which acts as a unique identifier for this process
+        """the assigned process version"""
         process_definition_key: int
-        #: the resource name from which this process was parsed
+        """the assigned key, which acts as a unique identifier for this process"""
         resource_name: str
-        #: the tenant ID of the deployed process
+        """the resource name from which this process was parsed"""
         tenant_id: str | None
+        """the tenant ID of the deployed process"""
 
     @dataclass(frozen=True)
     class DecisionMetadata:
-        #: the dmn decision ID, as parsed during deployment; together with the
-        #: versions forms a unique identifier for a specific decision
         dmn_decision_id: str
-        #: the dmn name of the decision, as parsed during deployment
+        """the dmn decision ID, as parsed during deployment; together with the
+        versions forms a unique identifier for a specific decision
+        """
         dmn_decision_name: str
-        #: the assigned decision version
+        """the dmn name of the decision, as parsed during deployment"""
         version: int
-        #: the assigned decision key, which acts as a unique identifier for this
-        #: decision
+        """the assigned decision version"""
         decision_key: int
-        #: the dmn ID of the decision requirements graph that this decision is part
-        #: of, as parsed during deployment
+        """the assigned decision key, which acts as a unique identifier for this
+        decision
+        """
         dmn_decision_requirements_id: str
-        #: the assigned key of the decision requirements graph that this decision is
-        #: part of
+        """the dmn ID of the decision requirements graph that this decision is part
+        of, as parsed during deployment
+        """
         decision_requirements_key: int
-        #: the tenant ID of the deployed decision
+        """the assigned key of the decision requirements graph that this decision is
+        part of
+        """
         tenant_id: str | None
+        """the tenant ID of the deployed decision"""
 
     @dataclass(frozen=True)
     class DecisionRequirementsMetadata:
-        #: the dmn decision requirements ID, as parsed during deployment; together
-        #: with the versions forms a unique identifier for a specific decision
         dmn_decision_requirements_id: str
-        #: the dmn name of the decision requirements, as parsed during deployment
+        """the dmn decision requirements ID, as parsed during deployment; together
+        with the versions forms a unique identifier for a specific decision
+        """
         dmn_decision_requirements_name: str
-        #: the assigned decision requirements version
+        """the dmn name of the decision requirements, as parsed during deployment"""
         version: int
-        #: the assigned decision requirements key, which acts as a unique identifier
-        #: for this decision requirements
+        """the assigned decision requirements version"""
         decision_requirements_key: int
-        #: the resource name from which this decision
-        #: requirements was parsed
+        """the assigned decision requirements key, which acts as a unique identifier
+        for this decision requirements
+        """
         resource_name: str
-        #: the tenant ID of the deployed decision requirements
+        """the resource name from which this decision
+        requirements was parsed
+        """
         tenant_id: str | None
+        """the tenant ID of the deployed decision requirements"""
 
     @dataclass(frozen=True)
     class FormMetadata:
-        #: the form ID, as parsed during deployment; together with the
-        #: versions forms a unique identifier for a specific form
         form_id: str
-        #: the assigned form version
+        """the form ID, as parsed during deployment; together with the
+        versions forms a unique identifier for a specific form
+        """
         version: int
-        #: the assigned key, which acts as a unique identifier for this form
+        """the assigned form version"""
         form_key: int
-        #: the resource name
+        """the assigned key, which acts as a unique identifier for this form"""
         resource_name: str
-        #: the tenant ID of the deployed form
+        """the resource name"""
         tenant_id: str | None
+        """the tenant ID of the deployed form"""
 
-    #: the unique key identifying the deployment
     key: int
-    #: a list of deployed resources, e.g. processes
+    """the unique key identifying the deployment"""
     deployments: list[ProcessMetadata | DecisionMetadata | DecisionRequirementsMetadata | FormMetadata]
-    #: the tenant ID of the deployed resources
+    """a list of deployed resources, e.g. processes"""
     tenant_id: str | None
+    """the tenant ID of the deployed resources"""
 
 
 @dataclass(frozen=True)
 class PublishMessageResponse:
-    #: the unique ID of the message that was published
     key: int
-    #: the tenant ID of the message
+    """the unique ID of the message that was published"""
     tenant_id: str | None
+    """the tenant ID of the message"""
 
 
 @dataclass(frozen=True)
diff --git a/pyzeebe/grpc_internals/zeebe_adapter_base.py b/pyzeebe/grpc_internals/zeebe_adapter_base.py
index cd9f5adb..8507583a 100644
--- a/pyzeebe/grpc_internals/zeebe_adapter_base.py
+++ b/pyzeebe/grpc_internals/zeebe_adapter_base.py
@@ -2,7 +2,6 @@
 from typing import NoReturn
 
 import grpc
-from zeebe_grpc.gateway_pb2_grpc import GatewayStub
 
 from pyzeebe.errors import (
     UnknownGrpcStatusCodeError,
@@ -13,6 +12,7 @@
 )
 from pyzeebe.errors.pyzeebe_errors import PyZeebeError
 from pyzeebe.grpc_internals.grpc_utils import is_error_status
+from pyzeebe.proto.gateway_pb2_grpc import GatewayStub
 
 logger = logging.getLogger(__name__)
 
diff --git a/pyzeebe/grpc_internals/zeebe_job_adapter.py b/pyzeebe/grpc_internals/zeebe_job_adapter.py
index 4b3cd0b8..49ccc6ad 100644
--- a/pyzeebe/grpc_internals/zeebe_job_adapter.py
+++ b/pyzeebe/grpc_internals/zeebe_job_adapter.py
@@ -6,13 +6,6 @@
 from collections.abc import AsyncGenerator, Iterable
 
 import grpc
-from zeebe_grpc.gateway_pb2 import (
-    ActivatedJob,
-    ActivateJobsRequest,
-    CompleteJobRequest,
-    FailJobRequest,
-    ThrowErrorRequest,
-)
 
 from pyzeebe.errors import (
     ActivateJobsRequestInvalidError,
@@ -22,6 +15,13 @@
 from pyzeebe.grpc_internals.grpc_utils import is_error_status
 from pyzeebe.grpc_internals.zeebe_adapter_base import ZeebeAdapterBase
 from pyzeebe.job.job import Job
+from pyzeebe.proto.gateway_pb2 import (
+    ActivatedJob,
+    ActivateJobsRequest,
+    CompleteJobRequest,
+    FailJobRequest,
+    ThrowErrorRequest,
+)
 from pyzeebe.types import Variables
 
 from .types import CompleteJobResponse, FailJobResponse, ThrowErrorResponse
diff --git a/pyzeebe/grpc_internals/zeebe_message_adapter.py b/pyzeebe/grpc_internals/zeebe_message_adapter.py
index ba4389a9..75de861b 100644
--- a/pyzeebe/grpc_internals/zeebe_message_adapter.py
+++ b/pyzeebe/grpc_internals/zeebe_message_adapter.py
@@ -3,11 +3,11 @@
 import json
 
 import grpc
-from zeebe_grpc.gateway_pb2 import PublishMessageRequest
 
 from pyzeebe.errors import MessageAlreadyExistsError
 from pyzeebe.grpc_internals.grpc_utils import is_error_status
 from pyzeebe.grpc_internals.zeebe_adapter_base import ZeebeAdapterBase
+from pyzeebe.proto.gateway_pb2 import PublishMessageRequest
 from pyzeebe.types import Variables
 
 from .types import PublishMessageResponse
@@ -28,10 +28,10 @@ async def publish_message(
                 PublishMessageRequest(
                     name=name,
                     correlationKey=correlation_key,
-                    messageId=message_id,
+                    messageId=message_id,  # type: ignore[arg-type]
                     timeToLive=time_to_live_in_milliseconds,
                     variables=json.dumps(variables),
-                    tenantId=tenant_id,
+                    tenantId=tenant_id,  # type: ignore[arg-type]
                 )
             )
         except grpc.aio.AioRpcError as grpc_error:
diff --git a/pyzeebe/grpc_internals/zeebe_process_adapter.py b/pyzeebe/grpc_internals/zeebe_process_adapter.py
index 39cb414c..55a8e1df 100644
--- a/pyzeebe/grpc_internals/zeebe_process_adapter.py
+++ b/pyzeebe/grpc_internals/zeebe_process_adapter.py
@@ -7,17 +7,6 @@
 
 import anyio
 import grpc
-from zeebe_grpc.gateway_pb2 import (
-    CancelProcessInstanceRequest,
-    CreateProcessInstanceRequest,
-    CreateProcessInstanceWithResultRequest,
-    DecisionMetadata,
-    DecisionRequirementsMetadata,
-    DeployResourceRequest,
-    FormMetadata,
-    ProcessMetadata,
-    Resource,
-)
 
 from pyzeebe.errors import (
     InvalidJSONError,
@@ -29,6 +18,17 @@
 )
 from pyzeebe.grpc_internals.grpc_utils import is_error_status
 from pyzeebe.grpc_internals.zeebe_adapter_base import ZeebeAdapterBase
+from pyzeebe.proto.gateway_pb2 import (
+    CancelProcessInstanceRequest,
+    CreateProcessInstanceRequest,
+    CreateProcessInstanceWithResultRequest,
+    DecisionMetadata,
+    DecisionRequirementsMetadata,
+    DeployResourceRequest,
+    FormMetadata,
+    ProcessMetadata,
+    Resource,
+)
 from pyzeebe.types import Variables
 
 from .types import (
@@ -53,7 +53,7 @@ async def create_process_instance(
                     bpmnProcessId=bpmn_process_id,
                     version=version,
                     variables=json.dumps(variables),
-                    tenantId=tenant_id,
+                    tenantId=tenant_id,  # type: ignore[arg-type]
                 )
             )
         except grpc.aio.AioRpcError as grpc_error:
@@ -83,7 +83,7 @@ async def create_process_instance_with_result(
                         bpmnProcessId=bpmn_process_id,
                         version=version,
                         variables=json.dumps(variables),
-                        tenantId=tenant_id,
+                        tenantId=tenant_id,  # type: ignore[arg-type]
                     ),
                     requestTimeout=timeout,
                     fetchVariables=variables_to_fetch,
@@ -133,7 +133,7 @@ async def deploy_resource(self, *resource_file_path: str, tenant_id: str | None
             response = await self._gateway_stub.DeployResource(
                 DeployResourceRequest(
                     resources=[await result for result in map(_create_resource_request, resource_file_path)],
-                    tenantId=tenant_id,
+                    tenantId=tenant_id,  # type: ignore[arg-type]
                 )
             )
         except grpc.aio.AioRpcError as grpc_error:
@@ -206,13 +206,10 @@ def _create_form_from_raw_form(response: FormMetadata) -> DeployResourceResponse
 
 _METADATA_PARSERS: dict[
     str,
-    Callable[
-        [ProcessMetadata | DecisionMetadata | DecisionRequirementsMetadata | FormMetadata],
-        DeployResourceResponse.ProcessMetadata
-        | DeployResourceResponse.DecisionMetadata
-        | DeployResourceResponse.DecisionRequirementsMetadata
-        | DeployResourceResponse.FormMetadata,
-    ],
+    Callable[[ProcessMetadata], DeployResourceResponse.ProcessMetadata]
+    | Callable[[DecisionMetadata], DeployResourceResponse.DecisionMetadata]
+    | Callable[[DecisionRequirementsMetadata], DeployResourceResponse.DecisionRequirementsMetadata]
+    | Callable[[FormMetadata], DeployResourceResponse.FormMetadata],
 ] = {
     "process": ZeebeProcessAdapter._create_process_from_raw_process,
     "decision": ZeebeProcessAdapter._create_decision_from_raw_decision,
diff --git a/pyzeebe/proto/__init__.py b/pyzeebe/proto/__init__.py
new file mode 100644
index 00000000..0c97c96c
--- /dev/null
+++ b/pyzeebe/proto/__init__.py
@@ -0,0 +1,2 @@
+from . import gateway_pb2 as gateway_pb2
+from . import gateway_pb2_grpc as gateway_pb2_grpc
diff --git a/pyzeebe/proto/gateway_pb2.py b/pyzeebe/proto/gateway_pb2.py
new file mode 100644
index 00000000..5c801a43
--- /dev/null
+++ b/pyzeebe/proto/gateway_pb2.py
@@ -0,0 +1,171 @@
+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# NO CHECKED-IN PROTOBUF GENCODE
+# source: pyzeebe/proto/gateway.proto
+# Protobuf Python Version: 5.28.1
+"""Generated protocol buffer code."""
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import descriptor_pool as _descriptor_pool
+from google.protobuf import runtime_version as _runtime_version
+from google.protobuf import symbol_database as _symbol_database
+from google.protobuf.internal import builder as _builder
+_runtime_version.ValidateProtobufRuntimeVersion(
+    _runtime_version.Domain.PUBLIC,
+    5,
+    28,
+    1,
+    '',
+    'pyzeebe/proto/gateway.proto'
+)
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1bpyzeebe/proto/gateway.proto\x12\x10gateway_protocol\"u\n\x1aStreamActivatedJobsRequest\x12\x0c\n\x04type\x18\x01 \x01(\t\x12\x0e\n\x06worker\x18\x02 \x01(\t\x12\x0f\n\x07timeout\x18\x03 \x01(\x03\x12\x15\n\rfetchVariable\x18\x05 \x03(\t\x12\x11\n\ttenantIds\x18\x06 \x03(\t\"\xa1\x01\n\x13\x41\x63tivateJobsRequest\x12\x0c\n\x04type\x18\x01 \x01(\t\x12\x0e\n\x06worker\x18\x02 \x01(\t\x12\x0f\n\x07timeout\x18\x03 \x01(\x03\x12\x19\n\x11maxJobsToActivate\x18\x04 \x01(\x05\x12\x15\n\rfetchVariable\x18\x05 \x03(\t\x12\x16\n\x0erequestTimeout\x18\x06 \x01(\x03\x12\x11\n\ttenantIds\x18\x07 \x03(\t\"D\n\x14\x41\x63tivateJobsResponse\x12,\n\x04jobs\x18\x01 \x03(\x0b\x32\x1e.gateway_protocol.ActivatedJob\"\xba\x02\n\x0c\x41\x63tivatedJob\x12\x0b\n\x03key\x18\x01 \x01(\x03\x12\x0c\n\x04type\x18\x02 \x01(\t\x12\x1a\n\x12processInstanceKey\x18\x03 \x01(\x03\x12\x15\n\rbpmnProcessId\x18\x04 \x01(\t\x12 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\x01(\t2\xdb\x11\n\x07Gateway\x12\x61\n\x0c\x41\x63tivateJobs\x12%.gateway_protocol.ActivateJobsRequest\x1a&.gateway_protocol.ActivateJobsResponse\"\x00\x30\x01\x12g\n\x13StreamActivatedJobs\x12,.gateway_protocol.StreamActivatedJobsRequest\x1a\x1e.gateway_protocol.ActivatedJob\"\x00\x30\x01\x12z\n\x15\x43\x61ncelProcessInstance\x12..gateway_protocol.CancelProcessInstanceRequest\x1a/.gateway_protocol.CancelProcessInstanceResponse\"\x00\x12\\\n\x0b\x43ompleteJob\x12$.gateway_protocol.CompleteJobRequest\x1a%.gateway_protocol.CompleteJobResponse\"\x00\x12z\n\x15\x43reateProcessInstance\x12..gateway_protocol.CreateProcessInstanceRequest\x1a/.gateway_protocol.CreateProcessInstanceResponse\"\x00\x12\x98\x01\n\x1f\x43reateProcessInstanceWithResult\x12\x38.gateway_protocol.CreateProcessInstanceWithResultRequest\x1a\x39.gateway_protocol.CreateProcessInstanceWithResultResponse\"\x00\x12k\n\x10\x45valuateDecision\x12).gateway_protocol.EvaluateDecisionRequest\x1a*.gateway_protocol.EvaluateDecisionResponse\"\x00\x12\x65\n\rDeployProcess\x12&.gateway_protocol.DeployProcessRequest\x1a\'.gateway_protocol.DeployProcessResponse\"\x03\x88\x02\x01\x12\x65\n\x0e\x44\x65ployResource\x12\'.gateway_protocol.DeployResourceRequest\x1a(.gateway_protocol.DeployResourceResponse\"\x00\x12P\n\x07\x46\x61ilJob\x12 .gateway_protocol.FailJobRequest\x1a!.gateway_protocol.FailJobResponse\"\x00\x12Y\n\nThrowError\x12#.gateway_protocol.ThrowErrorRequest\x1a$.gateway_protocol.ThrowErrorResponse\"\x00\x12\x65\n\x0ePublishMessage\x12\'.gateway_protocol.PublishMessageRequest\x1a(.gateway_protocol.PublishMessageResponse\"\x00\x12h\n\x0fResolveIncident\x12(.gateway_protocol.ResolveIncidentRequest\x1a).gateway_protocol.ResolveIncidentResponse\"\x00\x12_\n\x0cSetVariables\x12%.gateway_protocol.SetVariablesRequest\x1a&.gateway_protocol.SetVariablesResponse\"\x00\x12S\n\x08Topology\x12!.gateway_protocol.TopologyRequest\x1a\".gateway_protocol.TopologyResponse\"\x00\x12k\n\x10UpdateJobRetries\x12).gateway_protocol.UpdateJobRetriesRequest\x1a*.gateway_protocol.UpdateJobRetriesResponse\"\x00\x12z\n\x15ModifyProcessInstance\x12..gateway_protocol.ModifyProcessInstanceRequest\x1a/.gateway_protocol.ModifyProcessInstanceResponse\"\x00\x12}\n\x16MigrateProcessInstance\x12/.gateway_protocol.MigrateProcessInstanceRequest\x1a\x30.gateway_protocol.MigrateProcessInstanceResponse\"\x00\x12k\n\x10UpdateJobTimeout\x12).gateway_protocol.UpdateJobTimeoutRequest\x1a*.gateway_protocol.UpdateJobTimeoutResponse\"\x00\x12\x65\n\x0e\x44\x65leteResource\x12\'.gateway_protocol.DeleteResourceRequest\x1a(.gateway_protocol.DeleteResourceResponse\"\x00\x12h\n\x0f\x42roadcastSignal\x12(.gateway_protocol.BroadcastSignalRequest\x1a).gateway_protocol.BroadcastSignalResponse\"\x00\x42,\n!io.camunda.zeebe.gateway.protocolP\x00Z\x05./;pbb\x06proto3')
+
+_globals = globals()
+_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
+_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'pyzeebe.proto.gateway_pb2', _globals)
+if not _descriptor._USE_C_DESCRIPTORS:
+  _globals['DESCRIPTOR']._loaded_options = None
+  _globals['DESCRIPTOR']._serialized_options = b'\n!io.camunda.zeebe.gateway.protocolP\000Z\005./;pb'
+  _globals['_DEPLOYPROCESSREQUEST']._loaded_options = None
+  _globals['_DEPLOYPROCESSREQUEST']._serialized_options = b'\030\001'
+  _globals['_PROCESSREQUESTOBJECT']._loaded_options = None
+  _globals['_PROCESSREQUESTOBJECT']._serialized_options = b'\030\001'
+  _globals['_DEPLOYPROCESSRESPONSE']._loaded_options = None
+  _globals['_DEPLOYPROCESSRESPONSE']._serialized_options = b'\030\001'
+  _globals['_GATEWAY'].methods_by_name['DeployProcess']._loaded_options = None
+  _globals['_GATEWAY'].methods_by_name['DeployProcess']._serialized_options = b'\210\002\001'
+  _globals['_STREAMACTIVATEDJOBSREQUEST']._serialized_start=49
+  _globals['_STREAMACTIVATEDJOBSREQUEST']._serialized_end=166
+  _globals['_ACTIVATEJOBSREQUEST']._serialized_start=169
+  _globals['_ACTIVATEJOBSREQUEST']._serialized_end=330
+  _globals['_ACTIVATEJOBSRESPONSE']._serialized_start=332
+  _globals['_ACTIVATEJOBSRESPONSE']._serialized_end=400
+  _globals['_ACTIVATEDJOB']._serialized_start=403
+  _globals['_ACTIVATEDJOB']._serialized_end=717
+  _globals['_CANCELPROCESSINSTANCEREQUEST']._serialized_start=719
+  _globals['_CANCELPROCESSINSTANCEREQUEST']._serialized_end=833
+  _globals['_CANCELPROCESSINSTANCERESPONSE']._serialized_start=835
+  _globals['_CANCELPROCESSINSTANCERESPONSE']._serialized_end=866
+  _globals['_COMPLETEJOBREQUEST']._serialized_start=868
+  _globals['_COMPLETEJOBREQUEST']._serialized_end=923
+  _globals['_COMPLETEJOBRESPONSE']._serialized_start=925
+  _globals['_COMPLETEJOBRESPONSE']._serialized_end=946
+  _globals['_CREATEPROCESSINSTANCEREQUEST']._serialized_start=949
+  _globals['_CREATEPROCESSINSTANCEREQUEST']._serialized_end=1228
+  _globals['_PROCESSINSTANCECREATIONSTARTINSTRUCTION']._serialized_start=1230
+  _globals['_PROCESSINSTANCECREATIONSTARTINSTRUCTION']._serialized_end=1290
+  _globals['_CREATEPROCESSINSTANCERESPONSE']._serialized_start=1293
+  _globals['_CREATEPROCESSINSTANCERESPONSE']._serialized_end=1440
+  _globals['_CREATEPROCESSINSTANCEWITHRESULTREQUEST']._serialized_start=1443
+  _globals['_CREATEPROCESSINSTANCEWITHRESULTREQUEST']._serialized_end=1596
+  _globals['_CREATEPROCESSINSTANCEWITHRESULTRESPONSE']._serialized_start=1599
+  _globals['_CREATEPROCESSINSTANCEWITHRESULTRESPONSE']._serialized_end=1775
+  _globals['_EVALUATEDECISIONREQUEST']._serialized_start=1777
+  _globals['_EVALUATEDECISIONREQUEST']._serialized_end=1880
+  _globals['_EVALUATEDECISIONRESPONSE']._serialized_start=1883
+  _globals['_EVALUATEDECISIONRESPONSE']._serialized_end=2248
+  _globals['_EVALUATEDDECISION']._serialized_start=2251
+  _globals['_EVALUATEDDECISION']._serialized_end=2550
+  _globals['_EVALUATEDDECISIONINPUT']._serialized_start=2552
+  _globals['_EVALUATEDDECISIONINPUT']._serialized_end=2632
+  _globals['_EVALUATEDDECISIONOUTPUT']._serialized_start=2634
+  _globals['_EVALUATEDDECISIONOUTPUT']._serialized_end=2718
+  _globals['_MATCHEDDECISIONRULE']._serialized_start=2720
+  _globals['_MATCHEDDECISIONRULE']._serialized_end=2845
+  _globals['_DEPLOYPROCESSREQUEST']._serialized_start=2847
+  _globals['_DEPLOYPROCESSREQUEST']._serialized_end=2932
+  _globals['_PROCESSREQUESTOBJECT']._serialized_start=2934
+  _globals['_PROCESSREQUESTOBJECT']._serialized_end=2994
+  _globals['_DEPLOYPROCESSRESPONSE']._serialized_start=2996
+  _globals['_DEPLOYPROCESSRESPONSE']._serialized_end=3090
+  _globals['_DEPLOYRESOURCEREQUEST']._serialized_start=3092
+  _globals['_DEPLOYRESOURCEREQUEST']._serialized_end=3180
+  _globals['_RESOURCE']._serialized_start=3182
+  _globals['_RESOURCE']._serialized_end=3223
+  _globals['_DEPLOYRESOURCERESPONSE']._serialized_start=3225
+  _globals['_DEPLOYRESOURCERESPONSE']._serialized_end=3331
+  _globals['_DEPLOYMENT']._serialized_start=3334
+  _globals['_DEPLOYMENT']._serialized_end=3596
+  _globals['_PROCESSMETADATA']._serialized_start=3598
+  _globals['_PROCESSMETADATA']._serialized_end=3725
+  _globals['_DECISIONMETADATA']._serialized_start=3728
+  _globals['_DECISIONMETADATA']._serialized_end=3918
+  _globals['_DECISIONREQUIREMENTSMETADATA']._serialized_start=3921
+  _globals['_DECISIONREQUIREMENTSMETADATA']._serialized_end=4113
+  _globals['_FORMMETADATA']._serialized_start=4115
+  _globals['_FORMMETADATA']._serialized_end=4219
+  _globals['_FAILJOBREQUEST']._serialized_start=4221
+  _globals['_FAILJOBREQUEST']._serialized_end=4333
+  _globals['_FAILJOBRESPONSE']._serialized_start=4335
+  _globals['_FAILJOBRESPONSE']._serialized_end=4352
+  _globals['_THROWERRORREQUEST']._serialized_start=4354
+  _globals['_THROWERRORREQUEST']._serialized_end=4449
+  _globals['_THROWERRORRESPONSE']._serialized_start=4451
+  _globals['_THROWERRORRESPONSE']._serialized_end=4471
+  _globals['_PUBLISHMESSAGEREQUEST']._serialized_start=4474
+  _globals['_PUBLISHMESSAGEREQUEST']._serialized_end=4611
+  _globals['_PUBLISHMESSAGERESPONSE']._serialized_start=4613
+  _globals['_PUBLISHMESSAGERESPONSE']._serialized_end=4668
+  _globals['_RESOLVEINCIDENTREQUEST']._serialized_start=4670
+  _globals['_RESOLVEINCIDENTREQUEST']._serialized_end=4771
+  _globals['_RESOLVEINCIDENTRESPONSE']._serialized_start=4773
+  _globals['_RESOLVEINCIDENTRESPONSE']._serialized_end=4798
+  _globals['_TOPOLOGYREQUEST']._serialized_start=4800
+  _globals['_TOPOLOGYREQUEST']._serialized_end=4817
+  _globals['_TOPOLOGYRESPONSE']._serialized_start=4820
+  _globals['_TOPOLOGYRESPONSE']._serialized_end=4982
+  _globals['_BROKERINFO']._serialized_start=4984
+  _globals['_BROKERINFO']._serialized_end=5106
+  _globals['_PARTITION']._serialized_start=5109
+  _globals['_PARTITION']._serialized_end=5397
+  _globals['_PARTITION_PARTITIONBROKERROLE']._serialized_start=5273
+  _globals['_PARTITION_PARTITIONBROKERROLE']._serialized_end=5334
+  _globals['_PARTITION_PARTITIONBROKERHEALTH']._serialized_start=5336
+  _globals['_PARTITION_PARTITIONBROKERHEALTH']._serialized_end=5397
+  _globals['_UPDATEJOBRETRIESREQUEST']._serialized_start=5399
+  _globals['_UPDATEJOBRETRIESREQUEST']._serialized_end=5513
+  _globals['_UPDATEJOBRETRIESRESPONSE']._serialized_start=5515
+  _globals['_UPDATEJOBRETRIESRESPONSE']._serialized_end=5541
+  _globals['_UPDATEJOBTIMEOUTREQUEST']._serialized_start=5543
+  _globals['_UPDATEJOBTIMEOUTREQUEST']._serialized_end=5657
+  _globals['_UPDATEJOBTIMEOUTRESPONSE']._serialized_start=5659
+  _globals['_UPDATEJOBTIMEOUTRESPONSE']._serialized_end=5685
+  _globals['_SETVARIABLESREQUEST']._serialized_start=5688
+  _globals['_SETVARIABLESREQUEST']._serialized_end=5827
+  _globals['_SETVARIABLESRESPONSE']._serialized_start=5829
+  _globals['_SETVARIABLESRESPONSE']._serialized_end=5864
+  _globals['_MODIFYPROCESSINSTANCEREQUEST']._serialized_start=5867
+  _globals['_MODIFYPROCESSINSTANCEREQUEST']._serialized_end=6467
+  _globals['_MODIFYPROCESSINSTANCEREQUEST_ACTIVATEINSTRUCTION']._serialized_start=6159
+  _globals['_MODIFYPROCESSINSTANCEREQUEST_ACTIVATEINSTRUCTION']._serialized_end=6333
+  _globals['_MODIFYPROCESSINSTANCEREQUEST_VARIABLEINSTRUCTION']._serialized_start=6335
+  _globals['_MODIFYPROCESSINSTANCEREQUEST_VARIABLEINSTRUCTION']._serialized_end=6392
+  _globals['_MODIFYPROCESSINSTANCEREQUEST_TERMINATEINSTRUCTION']._serialized_start=6394
+  _globals['_MODIFYPROCESSINSTANCEREQUEST_TERMINATEINSTRUCTION']._serialized_end=6444
+  _globals['_MODIFYPROCESSINSTANCERESPONSE']._serialized_start=6469
+  _globals['_MODIFYPROCESSINSTANCERESPONSE']._serialized_end=6500
+  _globals['_MIGRATEPROCESSINSTANCEREQUEST']._serialized_start=6503
+  _globals['_MIGRATEPROCESSINSTANCEREQUEST']._serialized_end=6927
+  _globals['_MIGRATEPROCESSINSTANCEREQUEST_MIGRATIONPLAN']._serialized_start=6684
+  _globals['_MIGRATEPROCESSINSTANCEREQUEST_MIGRATIONPLAN']._serialized_end=6832
+  _globals['_MIGRATEPROCESSINSTANCEREQUEST_MAPPINGINSTRUCTION']._serialized_start=6834
+  _globals['_MIGRATEPROCESSINSTANCEREQUEST_MAPPINGINSTRUCTION']._serialized_end=6904
+  _globals['_MIGRATEPROCESSINSTANCERESPONSE']._serialized_start=6929
+  _globals['_MIGRATEPROCESSINSTANCERESPONSE']._serialized_end=6961
+  _globals['_DELETERESOURCEREQUEST']._serialized_start=6963
+  _globals['_DELETERESOURCEREQUEST']._serialized_end=7063
+  _globals['_DELETERESOURCERESPONSE']._serialized_start=7065
+  _globals['_DELETERESOURCERESPONSE']._serialized_end=7089
+  _globals['_BROADCASTSIGNALREQUEST']._serialized_start=7091
+  _globals['_BROADCASTSIGNALREQUEST']._serialized_end=7172
+  _globals['_BROADCASTSIGNALRESPONSE']._serialized_start=7174
+  _globals['_BROADCASTSIGNALRESPONSE']._serialized_end=7230
+  _globals['_GATEWAY']._serialized_start=7233
+  _globals['_GATEWAY']._serialized_end=9500
+# @@protoc_insertion_point(module_scope)
diff --git a/pyzeebe/proto/gateway_pb2.pyi b/pyzeebe/proto/gateway_pb2.pyi
new file mode 100644
index 00000000..ff3b3128
--- /dev/null
+++ b/pyzeebe/proto/gateway_pb2.pyi
@@ -0,0 +1,1744 @@
+"""
+@generated by mypy-protobuf.  Do not edit manually!
+isort:skip_file
+"""
+
+import builtins
+import collections.abc
+import google.protobuf.descriptor
+import google.protobuf.internal.containers
+import google.protobuf.internal.enum_type_wrapper
+import google.protobuf.message
+import sys
+import typing
+
+if sys.version_info >= (3, 10):
+    import typing as typing_extensions
+else:
+    import typing_extensions
+
+DESCRIPTOR: google.protobuf.descriptor.FileDescriptor
+
+@typing.final
+class StreamActivatedJobsRequest(google.protobuf.message.Message):
+    """For a more complete documentation, refer to Zeebe documentation at:
+    https://docs.camunda.io/docs/reference/grpc
+    """
+
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    TYPE_FIELD_NUMBER: builtins.int
+    WORKER_FIELD_NUMBER: builtins.int
+    TIMEOUT_FIELD_NUMBER: builtins.int
+    FETCHVARIABLE_FIELD_NUMBER: builtins.int
+    TENANTIDS_FIELD_NUMBER: builtins.int
+    type: builtins.str
+    """the job type, as defined in the BPMN process (e.g. <zeebe:taskDefinition
+    type="payment-service" />)
+    """
+    worker: builtins.str
+    """the name of the worker activating the jobs, mostly used for logging purposes"""
+    timeout: builtins.int
+    """a job returned after this call will not be activated by another call until the
+    timeout (in ms) has been reached
+    """
+    @property
+    def fetchVariable(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]:
+        """a list of variables to fetch as the job variables; if empty, all visible variables at
+        the time of activation for the scope of the job will be returned
+        """
+
+    @property
+    def tenantIds(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]:
+        """a list of identifiers of tenants for which to stream jobs"""
+
+    def __init__(
+        self,
+        *,
+        type: builtins.str = ...,
+        worker: builtins.str = ...,
+        timeout: builtins.int = ...,
+        fetchVariable: collections.abc.Iterable[builtins.str] | None = ...,
+        tenantIds: collections.abc.Iterable[builtins.str] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["fetchVariable", b"fetchVariable", "tenantIds", b"tenantIds", "timeout", b"timeout", "type", b"type", "worker", b"worker"]) -> None: ...
+
+global___StreamActivatedJobsRequest = StreamActivatedJobsRequest
+
+@typing.final
+class ActivateJobsRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    TYPE_FIELD_NUMBER: builtins.int
+    WORKER_FIELD_NUMBER: builtins.int
+    TIMEOUT_FIELD_NUMBER: builtins.int
+    MAXJOBSTOACTIVATE_FIELD_NUMBER: builtins.int
+    FETCHVARIABLE_FIELD_NUMBER: builtins.int
+    REQUESTTIMEOUT_FIELD_NUMBER: builtins.int
+    TENANTIDS_FIELD_NUMBER: builtins.int
+    type: builtins.str
+    """the job type, as defined in the BPMN process (e.g. <zeebe:taskDefinition
+    type="payment-service" />)
+    """
+    worker: builtins.str
+    """the name of the worker activating the jobs, mostly used for logging purposes"""
+    timeout: builtins.int
+    """a job returned after this call will not be activated by another call until the
+    timeout (in ms) has been reached
+    """
+    maxJobsToActivate: builtins.int
+    """the maximum jobs to activate by this request"""
+    requestTimeout: builtins.int
+    """The request will be completed when at least one job is activated or after the requestTimeout (in ms).
+    if the requestTimeout = 0, a default timeout is used.
+    if the requestTimeout < 0, long polling is disabled and the request is completed immediately, even when no job is activated.
+    """
+    @property
+    def fetchVariable(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]:
+        """a list of variables to fetch as the job variables; if empty, all visible variables at
+        the time of activation for the scope of the job will be returned
+        """
+
+    @property
+    def tenantIds(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]:
+        """a list of IDs of tenants for which to activate jobs"""
+
+    def __init__(
+        self,
+        *,
+        type: builtins.str = ...,
+        worker: builtins.str = ...,
+        timeout: builtins.int = ...,
+        maxJobsToActivate: builtins.int = ...,
+        fetchVariable: collections.abc.Iterable[builtins.str] | None = ...,
+        requestTimeout: builtins.int = ...,
+        tenantIds: collections.abc.Iterable[builtins.str] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["fetchVariable", b"fetchVariable", "maxJobsToActivate", b"maxJobsToActivate", "requestTimeout", b"requestTimeout", "tenantIds", b"tenantIds", "timeout", b"timeout", "type", b"type", "worker", b"worker"]) -> None: ...
+
+global___ActivateJobsRequest = ActivateJobsRequest
+
+@typing.final
+class ActivateJobsResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    JOBS_FIELD_NUMBER: builtins.int
+    @property
+    def jobs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ActivatedJob]:
+        """list of activated jobs"""
+
+    def __init__(
+        self,
+        *,
+        jobs: collections.abc.Iterable[global___ActivatedJob] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["jobs", b"jobs"]) -> None: ...
+
+global___ActivateJobsResponse = ActivateJobsResponse
+
+@typing.final
+class ActivatedJob(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    KEY_FIELD_NUMBER: builtins.int
+    TYPE_FIELD_NUMBER: builtins.int
+    PROCESSINSTANCEKEY_FIELD_NUMBER: builtins.int
+    BPMNPROCESSID_FIELD_NUMBER: builtins.int
+    PROCESSDEFINITIONVERSION_FIELD_NUMBER: builtins.int
+    PROCESSDEFINITIONKEY_FIELD_NUMBER: builtins.int
+    ELEMENTID_FIELD_NUMBER: builtins.int
+    ELEMENTINSTANCEKEY_FIELD_NUMBER: builtins.int
+    CUSTOMHEADERS_FIELD_NUMBER: builtins.int
+    WORKER_FIELD_NUMBER: builtins.int
+    RETRIES_FIELD_NUMBER: builtins.int
+    DEADLINE_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    key: builtins.int
+    """the key, a unique identifier for the job"""
+    type: builtins.str
+    """the type of the job (should match what was requested)"""
+    processInstanceKey: builtins.int
+    """the job's process instance key"""
+    bpmnProcessId: builtins.str
+    """the bpmn process ID of the job process definition"""
+    processDefinitionVersion: builtins.int
+    """the version of the job process definition"""
+    processDefinitionKey: builtins.int
+    """the key of the job process definition"""
+    elementId: builtins.str
+    """the associated task element ID"""
+    elementInstanceKey: builtins.int
+    """the unique key identifying the associated task, unique within the scope of the
+    process instance
+    """
+    customHeaders: builtins.str
+    """a set of custom headers defined during modelling; returned as a serialized
+    JSON document
+    """
+    worker: builtins.str
+    """the name of the worker which activated this job"""
+    retries: builtins.int
+    """the amount of retries left to this job (should always be positive)"""
+    deadline: builtins.int
+    """when the job can be activated again, sent as a UNIX epoch timestamp"""
+    variables: builtins.str
+    """JSON document, computed at activation time, consisting of all visible variables to
+    the task scope
+    """
+    tenantId: builtins.str
+    """the id of the tenant that owns the job"""
+    def __init__(
+        self,
+        *,
+        key: builtins.int = ...,
+        type: builtins.str = ...,
+        processInstanceKey: builtins.int = ...,
+        bpmnProcessId: builtins.str = ...,
+        processDefinitionVersion: builtins.int = ...,
+        processDefinitionKey: builtins.int = ...,
+        elementId: builtins.str = ...,
+        elementInstanceKey: builtins.int = ...,
+        customHeaders: builtins.str = ...,
+        worker: builtins.str = ...,
+        retries: builtins.int = ...,
+        deadline: builtins.int = ...,
+        variables: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["bpmnProcessId", b"bpmnProcessId", "customHeaders", b"customHeaders", "deadline", b"deadline", "elementId", b"elementId", "elementInstanceKey", b"elementInstanceKey", "key", b"key", "processDefinitionKey", b"processDefinitionKey", "processDefinitionVersion", b"processDefinitionVersion", "processInstanceKey", b"processInstanceKey", "retries", b"retries", "tenantId", b"tenantId", "type", b"type", "variables", b"variables", "worker", b"worker"]) -> None: ...
+
+global___ActivatedJob = ActivatedJob
+
+@typing.final
+class CancelProcessInstanceRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    PROCESSINSTANCEKEY_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    processInstanceKey: builtins.int
+    """the process instance key (as, for example, obtained from
+    CreateProcessInstanceResponse)
+    """
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    def __init__(
+        self,
+        *,
+        processInstanceKey: builtins.int = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference", "processInstanceKey", b"processInstanceKey"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___CancelProcessInstanceRequest = CancelProcessInstanceRequest
+
+@typing.final
+class CancelProcessInstanceResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___CancelProcessInstanceResponse = CancelProcessInstanceResponse
+
+@typing.final
+class CompleteJobRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    JOBKEY_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    jobKey: builtins.int
+    """the unique job identifier, as obtained from ActivateJobsResponse"""
+    variables: builtins.str
+    """a JSON document representing the variables in the current task scope"""
+    def __init__(
+        self,
+        *,
+        jobKey: builtins.int = ...,
+        variables: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["jobKey", b"jobKey", "variables", b"variables"]) -> None: ...
+
+global___CompleteJobRequest = CompleteJobRequest
+
+@typing.final
+class CompleteJobResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___CompleteJobResponse = CompleteJobResponse
+
+@typing.final
+class CreateProcessInstanceRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    PROCESSDEFINITIONKEY_FIELD_NUMBER: builtins.int
+    BPMNPROCESSID_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    STARTINSTRUCTIONS_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    processDefinitionKey: builtins.int
+    """the unique key identifying the process definition (e.g. returned from a process
+    in the DeployProcessResponse message)
+    """
+    bpmnProcessId: builtins.str
+    """the BPMN process ID of the process definition"""
+    version: builtins.int
+    """the version of the process; set to -1 to use the latest version"""
+    variables: builtins.str
+    """JSON document that will instantiate the variables for the root variable scope of the
+    process instance; it must be a JSON object, as variables will be mapped in a
+    key-value fashion. e.g. { "a": 1, "b": 2 } will create two variables, named "a" and
+    "b" respectively, with their associated values. [{ "a": 1, "b": 2 }] would not be a
+    valid argument, as the root of the JSON document is an array and not an object.
+    """
+    tenantId: builtins.str
+    """the tenant id of the process definition"""
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    @property
+    def startInstructions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ProcessInstanceCreationStartInstruction]:
+        """List of start instructions. If empty (default) the process instance
+        will start at the start event. If non-empty the process instance will apply start
+        instructions after it has been created
+        """
+
+    def __init__(
+        self,
+        *,
+        processDefinitionKey: builtins.int = ...,
+        bpmnProcessId: builtins.str = ...,
+        version: builtins.int = ...,
+        variables: builtins.str = ...,
+        startInstructions: collections.abc.Iterable[global___ProcessInstanceCreationStartInstruction] | None = ...,
+        tenantId: builtins.str = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "bpmnProcessId", b"bpmnProcessId", "operationReference", b"operationReference", "processDefinitionKey", b"processDefinitionKey", "startInstructions", b"startInstructions", "tenantId", b"tenantId", "variables", b"variables", "version", b"version"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___CreateProcessInstanceRequest = CreateProcessInstanceRequest
+
+@typing.final
+class ProcessInstanceCreationStartInstruction(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    ELEMENTID_FIELD_NUMBER: builtins.int
+    elementId: builtins.str
+    """for now, however, the start instruction is implicitly a
+    "startBeforeElement" instruction
+
+    element ID
+    """
+    def __init__(
+        self,
+        *,
+        elementId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["elementId", b"elementId"]) -> None: ...
+
+global___ProcessInstanceCreationStartInstruction = ProcessInstanceCreationStartInstruction
+
+@typing.final
+class CreateProcessInstanceResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    PROCESSDEFINITIONKEY_FIELD_NUMBER: builtins.int
+    BPMNPROCESSID_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    PROCESSINSTANCEKEY_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    processDefinitionKey: builtins.int
+    """the key of the process definition which was used to create the process instance"""
+    bpmnProcessId: builtins.str
+    """the BPMN process ID of the process definition which was used to create the process
+    instance
+    """
+    version: builtins.int
+    """the version of the process definition which was used to create the process instance"""
+    processInstanceKey: builtins.int
+    """the unique identifier of the created process instance; to be used wherever a request
+    needs a process instance key (e.g. CancelProcessInstanceRequest)
+    """
+    tenantId: builtins.str
+    """the tenant identifier of the created process instance"""
+    def __init__(
+        self,
+        *,
+        processDefinitionKey: builtins.int = ...,
+        bpmnProcessId: builtins.str = ...,
+        version: builtins.int = ...,
+        processInstanceKey: builtins.int = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["bpmnProcessId", b"bpmnProcessId", "processDefinitionKey", b"processDefinitionKey", "processInstanceKey", b"processInstanceKey", "tenantId", b"tenantId", "version", b"version"]) -> None: ...
+
+global___CreateProcessInstanceResponse = CreateProcessInstanceResponse
+
+@typing.final
+class CreateProcessInstanceWithResultRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    REQUEST_FIELD_NUMBER: builtins.int
+    REQUESTTIMEOUT_FIELD_NUMBER: builtins.int
+    FETCHVARIABLES_FIELD_NUMBER: builtins.int
+    requestTimeout: builtins.int
+    """timeout (in ms). the request will be closed if the process is not completed
+    before the requestTimeout.
+    if requestTimeout = 0, uses the generic requestTimeout configured in the gateway.
+    """
+    @property
+    def request(self) -> global___CreateProcessInstanceRequest: ...
+    @property
+    def fetchVariables(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]:
+        """list of names of variables to be included in `CreateProcessInstanceWithResultResponse.variables`
+        if empty, all visible variables in the root scope will be returned.
+        """
+
+    def __init__(
+        self,
+        *,
+        request: global___CreateProcessInstanceRequest | None = ...,
+        requestTimeout: builtins.int = ...,
+        fetchVariables: collections.abc.Iterable[builtins.str] | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["request", b"request"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["fetchVariables", b"fetchVariables", "request", b"request", "requestTimeout", b"requestTimeout"]) -> None: ...
+
+global___CreateProcessInstanceWithResultRequest = CreateProcessInstanceWithResultRequest
+
+@typing.final
+class CreateProcessInstanceWithResultResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    PROCESSDEFINITIONKEY_FIELD_NUMBER: builtins.int
+    BPMNPROCESSID_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    PROCESSINSTANCEKEY_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    processDefinitionKey: builtins.int
+    """the key of the process definition which was used to create the process instance"""
+    bpmnProcessId: builtins.str
+    """the BPMN process ID of the process definition which was used to create the process
+    instance
+    """
+    version: builtins.int
+    """the version of the process definition which was used to create the process instance"""
+    processInstanceKey: builtins.int
+    """the unique identifier of the created process instance; to be used wherever a request
+    needs a process instance key (e.g. CancelProcessInstanceRequest)
+    """
+    variables: builtins.str
+    """JSON document
+    consists of visible variables in the root scope
+    """
+    tenantId: builtins.str
+    """the tenant identifier of the process definition"""
+    def __init__(
+        self,
+        *,
+        processDefinitionKey: builtins.int = ...,
+        bpmnProcessId: builtins.str = ...,
+        version: builtins.int = ...,
+        processInstanceKey: builtins.int = ...,
+        variables: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["bpmnProcessId", b"bpmnProcessId", "processDefinitionKey", b"processDefinitionKey", "processInstanceKey", b"processInstanceKey", "tenantId", b"tenantId", "variables", b"variables", "version", b"version"]) -> None: ...
+
+global___CreateProcessInstanceWithResultResponse = CreateProcessInstanceWithResultResponse
+
+@typing.final
+class EvaluateDecisionRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    DECISIONKEY_FIELD_NUMBER: builtins.int
+    DECISIONID_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    decisionKey: builtins.int
+    """the unique key identifying the decision to be evaluated (e.g. returned
+    from a decision in the DeployResourceResponse message)
+    """
+    decisionId: builtins.str
+    """the ID of the decision to be evaluated"""
+    variables: builtins.str
+    """JSON document that will instantiate the variables for the decision to be
+    evaluated; it must be a JSON object, as variables will be mapped in a
+    key-value fashion, e.g. { "a": 1, "b": 2 } will create two variables,
+    named "a" and "b" respectively, with their associated values.
+    [{ "a": 1, "b": 2 }] would not be a valid argument, as the root of the
+    JSON document is an array and not an object.
+    """
+    tenantId: builtins.str
+    """the tenant identifier of the decision"""
+    def __init__(
+        self,
+        *,
+        decisionKey: builtins.int = ...,
+        decisionId: builtins.str = ...,
+        variables: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["decisionId", b"decisionId", "decisionKey", b"decisionKey", "tenantId", b"tenantId", "variables", b"variables"]) -> None: ...
+
+global___EvaluateDecisionRequest = EvaluateDecisionRequest
+
+@typing.final
+class EvaluateDecisionResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    DECISIONKEY_FIELD_NUMBER: builtins.int
+    DECISIONID_FIELD_NUMBER: builtins.int
+    DECISIONNAME_FIELD_NUMBER: builtins.int
+    DECISIONVERSION_FIELD_NUMBER: builtins.int
+    DECISIONREQUIREMENTSID_FIELD_NUMBER: builtins.int
+    DECISIONREQUIREMENTSKEY_FIELD_NUMBER: builtins.int
+    DECISIONOUTPUT_FIELD_NUMBER: builtins.int
+    EVALUATEDDECISIONS_FIELD_NUMBER: builtins.int
+    FAILEDDECISIONID_FIELD_NUMBER: builtins.int
+    FAILUREMESSAGE_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    DECISIONINSTANCEKEY_FIELD_NUMBER: builtins.int
+    decisionKey: builtins.int
+    """the unique key identifying the decision which was evaluated (e.g. returned
+    from a decision in the DeployResourceResponse message)
+    """
+    decisionId: builtins.str
+    """the ID of the decision which was evaluated"""
+    decisionName: builtins.str
+    """the name of the decision which was evaluated"""
+    decisionVersion: builtins.int
+    """the version of the decision which was evaluated"""
+    decisionRequirementsId: builtins.str
+    """the ID of the decision requirements graph that the decision which was
+    evaluated is part of.
+    """
+    decisionRequirementsKey: builtins.int
+    """the unique key identifying the decision requirements graph that the
+    decision which was evaluated is part of.
+    """
+    decisionOutput: builtins.str
+    """JSON document that will instantiate the result of the decision which was
+    evaluated; it will be a JSON object, as the result output will be mapped
+    in a key-value fashion, e.g. { "a": 1 }.
+    """
+    failedDecisionId: builtins.str
+    """an optional string indicating the ID of the decision which
+    failed during evaluation
+    """
+    failureMessage: builtins.str
+    """an optional message describing why the decision which was evaluated failed"""
+    tenantId: builtins.str
+    """the tenant identifier of the evaluated decision"""
+    decisionInstanceKey: builtins.int
+    """the unique key identifying this decision evaluation"""
+    @property
+    def evaluatedDecisions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___EvaluatedDecision]:
+        """a list of decisions that were evaluated within the requested decision evaluation"""
+
+    def __init__(
+        self,
+        *,
+        decisionKey: builtins.int = ...,
+        decisionId: builtins.str = ...,
+        decisionName: builtins.str = ...,
+        decisionVersion: builtins.int = ...,
+        decisionRequirementsId: builtins.str = ...,
+        decisionRequirementsKey: builtins.int = ...,
+        decisionOutput: builtins.str = ...,
+        evaluatedDecisions: collections.abc.Iterable[global___EvaluatedDecision] | None = ...,
+        failedDecisionId: builtins.str = ...,
+        failureMessage: builtins.str = ...,
+        tenantId: builtins.str = ...,
+        decisionInstanceKey: builtins.int = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["decisionId", b"decisionId", "decisionInstanceKey", b"decisionInstanceKey", "decisionKey", b"decisionKey", "decisionName", b"decisionName", "decisionOutput", b"decisionOutput", "decisionRequirementsId", b"decisionRequirementsId", "decisionRequirementsKey", b"decisionRequirementsKey", "decisionVersion", b"decisionVersion", "evaluatedDecisions", b"evaluatedDecisions", "failedDecisionId", b"failedDecisionId", "failureMessage", b"failureMessage", "tenantId", b"tenantId"]) -> None: ...
+
+global___EvaluateDecisionResponse = EvaluateDecisionResponse
+
+@typing.final
+class EvaluatedDecision(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    DECISIONKEY_FIELD_NUMBER: builtins.int
+    DECISIONID_FIELD_NUMBER: builtins.int
+    DECISIONNAME_FIELD_NUMBER: builtins.int
+    DECISIONVERSION_FIELD_NUMBER: builtins.int
+    DECISIONTYPE_FIELD_NUMBER: builtins.int
+    DECISIONOUTPUT_FIELD_NUMBER: builtins.int
+    MATCHEDRULES_FIELD_NUMBER: builtins.int
+    EVALUATEDINPUTS_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    decisionKey: builtins.int
+    """the unique key identifying the decision which was evaluated (e.g. returned
+    from a decision in the DeployResourceResponse message)
+    """
+    decisionId: builtins.str
+    """the ID of the decision which was evaluated"""
+    decisionName: builtins.str
+    """the name of the decision which was evaluated"""
+    decisionVersion: builtins.int
+    """the version of the decision which was evaluated"""
+    decisionType: builtins.str
+    """the type of the decision which was evaluated"""
+    decisionOutput: builtins.str
+    """JSON document that will instantiate the result of the decision which was
+    evaluated; it will be a JSON object, as the result output will be mapped
+    in a key-value fashion, e.g. { "a": 1 }.
+    """
+    tenantId: builtins.str
+    """the tenant identifier of the evaluated decision"""
+    @property
+    def matchedRules(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___MatchedDecisionRule]:
+        """the decision rules that matched within this decision evaluation"""
+
+    @property
+    def evaluatedInputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___EvaluatedDecisionInput]:
+        """the decision inputs that were evaluated within this decision evaluation"""
+
+    def __init__(
+        self,
+        *,
+        decisionKey: builtins.int = ...,
+        decisionId: builtins.str = ...,
+        decisionName: builtins.str = ...,
+        decisionVersion: builtins.int = ...,
+        decisionType: builtins.str = ...,
+        decisionOutput: builtins.str = ...,
+        matchedRules: collections.abc.Iterable[global___MatchedDecisionRule] | None = ...,
+        evaluatedInputs: collections.abc.Iterable[global___EvaluatedDecisionInput] | None = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["decisionId", b"decisionId", "decisionKey", b"decisionKey", "decisionName", b"decisionName", "decisionOutput", b"decisionOutput", "decisionType", b"decisionType", "decisionVersion", b"decisionVersion", "evaluatedInputs", b"evaluatedInputs", "matchedRules", b"matchedRules", "tenantId", b"tenantId"]) -> None: ...
+
+global___EvaluatedDecision = EvaluatedDecision
+
+@typing.final
+class EvaluatedDecisionInput(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    INPUTID_FIELD_NUMBER: builtins.int
+    INPUTNAME_FIELD_NUMBER: builtins.int
+    INPUTVALUE_FIELD_NUMBER: builtins.int
+    inputId: builtins.str
+    """the id of the evaluated decision input"""
+    inputName: builtins.str
+    """the name of the evaluated decision input"""
+    inputValue: builtins.str
+    """the value of the evaluated decision input"""
+    def __init__(
+        self,
+        *,
+        inputId: builtins.str = ...,
+        inputName: builtins.str = ...,
+        inputValue: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["inputId", b"inputId", "inputName", b"inputName", "inputValue", b"inputValue"]) -> None: ...
+
+global___EvaluatedDecisionInput = EvaluatedDecisionInput
+
+@typing.final
+class EvaluatedDecisionOutput(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    OUTPUTID_FIELD_NUMBER: builtins.int
+    OUTPUTNAME_FIELD_NUMBER: builtins.int
+    OUTPUTVALUE_FIELD_NUMBER: builtins.int
+    outputId: builtins.str
+    """the id of the evaluated decision output"""
+    outputName: builtins.str
+    """the name of the evaluated decision output"""
+    outputValue: builtins.str
+    """the value of the evaluated decision output"""
+    def __init__(
+        self,
+        *,
+        outputId: builtins.str = ...,
+        outputName: builtins.str = ...,
+        outputValue: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["outputId", b"outputId", "outputName", b"outputName", "outputValue", b"outputValue"]) -> None: ...
+
+global___EvaluatedDecisionOutput = EvaluatedDecisionOutput
+
+@typing.final
+class MatchedDecisionRule(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    RULEID_FIELD_NUMBER: builtins.int
+    RULEINDEX_FIELD_NUMBER: builtins.int
+    EVALUATEDOUTPUTS_FIELD_NUMBER: builtins.int
+    ruleId: builtins.str
+    """the id of the matched rule"""
+    ruleIndex: builtins.int
+    """the index of the matched rule"""
+    @property
+    def evaluatedOutputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___EvaluatedDecisionOutput]:
+        """the evaluated decision outputs"""
+
+    def __init__(
+        self,
+        *,
+        ruleId: builtins.str = ...,
+        ruleIndex: builtins.int = ...,
+        evaluatedOutputs: collections.abc.Iterable[global___EvaluatedDecisionOutput] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["evaluatedOutputs", b"evaluatedOutputs", "ruleId", b"ruleId", "ruleIndex", b"ruleIndex"]) -> None: ...
+
+global___MatchedDecisionRule = MatchedDecisionRule
+
+@typing.final
+class DeployProcessRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    PROCESSES_FIELD_NUMBER: builtins.int
+    @property
+    def processes(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ProcessRequestObject]:
+        """List of process resources to deploy"""
+
+    def __init__(
+        self,
+        *,
+        processes: collections.abc.Iterable[global___ProcessRequestObject] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["processes", b"processes"]) -> None: ...
+
+global___DeployProcessRequest = DeployProcessRequest
+
+@typing.final
+class ProcessRequestObject(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    NAME_FIELD_NUMBER: builtins.int
+    DEFINITION_FIELD_NUMBER: builtins.int
+    name: builtins.str
+    """the resource basename, e.g. myProcess.bpmn"""
+    definition: builtins.bytes
+    """the process definition as a UTF8-encoded string"""
+    def __init__(
+        self,
+        *,
+        name: builtins.str = ...,
+        definition: builtins.bytes = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["definition", b"definition", "name", b"name"]) -> None: ...
+
+global___ProcessRequestObject = ProcessRequestObject
+
+@typing.final
+class DeployProcessResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    KEY_FIELD_NUMBER: builtins.int
+    PROCESSES_FIELD_NUMBER: builtins.int
+    key: builtins.int
+    """the unique key identifying the deployment"""
+    @property
+    def processes(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ProcessMetadata]:
+        """a list of deployed processes"""
+
+    def __init__(
+        self,
+        *,
+        key: builtins.int = ...,
+        processes: collections.abc.Iterable[global___ProcessMetadata] | None = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["key", b"key", "processes", b"processes"]) -> None: ...
+
+global___DeployProcessResponse = DeployProcessResponse
+
+@typing.final
+class DeployResourceRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    RESOURCES_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    tenantId: builtins.str
+    """the tenant id of the resources to deploy"""
+    @property
+    def resources(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Resource]:
+        """list of resources to deploy"""
+
+    def __init__(
+        self,
+        *,
+        resources: collections.abc.Iterable[global___Resource] | None = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["resources", b"resources", "tenantId", b"tenantId"]) -> None: ...
+
+global___DeployResourceRequest = DeployResourceRequest
+
+@typing.final
+class Resource(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    NAME_FIELD_NUMBER: builtins.int
+    CONTENT_FIELD_NUMBER: builtins.int
+    name: builtins.str
+    """the resource name, e.g. myProcess.bpmn or myDecision.dmn"""
+    content: builtins.bytes
+    """the file content as a UTF8-encoded string"""
+    def __init__(
+        self,
+        *,
+        name: builtins.str = ...,
+        content: builtins.bytes = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["content", b"content", "name", b"name"]) -> None: ...
+
+global___Resource = Resource
+
+@typing.final
+class DeployResourceResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    KEY_FIELD_NUMBER: builtins.int
+    DEPLOYMENTS_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    key: builtins.int
+    """the unique key identifying the deployment"""
+    tenantId: builtins.str
+    """the tenant id of the deployed resources"""
+    @property
+    def deployments(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Deployment]:
+        """a list of deployed resources, e.g. processes"""
+
+    def __init__(
+        self,
+        *,
+        key: builtins.int = ...,
+        deployments: collections.abc.Iterable[global___Deployment] | None = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["deployments", b"deployments", "key", b"key", "tenantId", b"tenantId"]) -> None: ...
+
+global___DeployResourceResponse = DeployResourceResponse
+
+@typing.final
+class Deployment(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    PROCESS_FIELD_NUMBER: builtins.int
+    DECISION_FIELD_NUMBER: builtins.int
+    DECISIONREQUIREMENTS_FIELD_NUMBER: builtins.int
+    FORM_FIELD_NUMBER: builtins.int
+    @property
+    def process(self) -> global___ProcessMetadata:
+        """metadata of a deployed process"""
+
+    @property
+    def decision(self) -> global___DecisionMetadata:
+        """metadata of a deployed decision"""
+
+    @property
+    def decisionRequirements(self) -> global___DecisionRequirementsMetadata:
+        """metadata of a deployed decision requirements"""
+
+    @property
+    def form(self) -> global___FormMetadata:
+        """metadata of a deployed form"""
+
+    def __init__(
+        self,
+        *,
+        process: global___ProcessMetadata | None = ...,
+        decision: global___DecisionMetadata | None = ...,
+        decisionRequirements: global___DecisionRequirementsMetadata | None = ...,
+        form: global___FormMetadata | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["Metadata", b"Metadata", "decision", b"decision", "decisionRequirements", b"decisionRequirements", "form", b"form", "process", b"process"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["Metadata", b"Metadata", "decision", b"decision", "decisionRequirements", b"decisionRequirements", "form", b"form", "process", b"process"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["Metadata", b"Metadata"]) -> typing.Literal["process", "decision", "decisionRequirements", "form"] | None: ...
+
+global___Deployment = Deployment
+
+@typing.final
+class ProcessMetadata(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    BPMNPROCESSID_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    PROCESSDEFINITIONKEY_FIELD_NUMBER: builtins.int
+    RESOURCENAME_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    bpmnProcessId: builtins.str
+    """the bpmn process ID, as parsed during deployment; together with the version forms a
+    unique identifier for a specific process definition
+    """
+    version: builtins.int
+    """the assigned process version"""
+    processDefinitionKey: builtins.int
+    """the assigned key, which acts as a unique identifier for this process"""
+    resourceName: builtins.str
+    """the resource name (see: ProcessRequestObject.name) from which this process was
+    parsed
+    """
+    tenantId: builtins.str
+    """the tenant id of the deployed process"""
+    def __init__(
+        self,
+        *,
+        bpmnProcessId: builtins.str = ...,
+        version: builtins.int = ...,
+        processDefinitionKey: builtins.int = ...,
+        resourceName: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["bpmnProcessId", b"bpmnProcessId", "processDefinitionKey", b"processDefinitionKey", "resourceName", b"resourceName", "tenantId", b"tenantId", "version", b"version"]) -> None: ...
+
+global___ProcessMetadata = ProcessMetadata
+
+@typing.final
+class DecisionMetadata(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    DMNDECISIONID_FIELD_NUMBER: builtins.int
+    DMNDECISIONNAME_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    DECISIONKEY_FIELD_NUMBER: builtins.int
+    DMNDECISIONREQUIREMENTSID_FIELD_NUMBER: builtins.int
+    DECISIONREQUIREMENTSKEY_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    dmnDecisionId: builtins.str
+    """the dmn decision ID, as parsed during deployment; together with the
+    versions forms a unique identifier for a specific decision
+    """
+    dmnDecisionName: builtins.str
+    """the dmn name of the decision, as parsed during deployment"""
+    version: builtins.int
+    """the assigned decision version"""
+    decisionKey: builtins.int
+    """the assigned decision key, which acts as a unique identifier for this
+    decision
+    """
+    dmnDecisionRequirementsId: builtins.str
+    """the dmn ID of the decision requirements graph that this decision is part
+    of, as parsed during deployment
+    """
+    decisionRequirementsKey: builtins.int
+    """the assigned key of the decision requirements graph that this decision is
+    part of
+    """
+    tenantId: builtins.str
+    """the tenant id of the deployed decision"""
+    def __init__(
+        self,
+        *,
+        dmnDecisionId: builtins.str = ...,
+        dmnDecisionName: builtins.str = ...,
+        version: builtins.int = ...,
+        decisionKey: builtins.int = ...,
+        dmnDecisionRequirementsId: builtins.str = ...,
+        decisionRequirementsKey: builtins.int = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["decisionKey", b"decisionKey", "decisionRequirementsKey", b"decisionRequirementsKey", "dmnDecisionId", b"dmnDecisionId", "dmnDecisionName", b"dmnDecisionName", "dmnDecisionRequirementsId", b"dmnDecisionRequirementsId", "tenantId", b"tenantId", "version", b"version"]) -> None: ...
+
+global___DecisionMetadata = DecisionMetadata
+
+@typing.final
+class DecisionRequirementsMetadata(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    DMNDECISIONREQUIREMENTSID_FIELD_NUMBER: builtins.int
+    DMNDECISIONREQUIREMENTSNAME_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    DECISIONREQUIREMENTSKEY_FIELD_NUMBER: builtins.int
+    RESOURCENAME_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    dmnDecisionRequirementsId: builtins.str
+    """the dmn decision requirements ID, as parsed during deployment; together
+    with the versions forms a unique identifier for a specific decision
+    """
+    dmnDecisionRequirementsName: builtins.str
+    """the dmn name of the decision requirements, as parsed during deployment"""
+    version: builtins.int
+    """the assigned decision requirements version"""
+    decisionRequirementsKey: builtins.int
+    """the assigned decision requirements key, which acts as a unique identifier
+    for this decision requirements
+    """
+    resourceName: builtins.str
+    """the resource name (see: Resource.name) from which this decision
+    requirements was parsed
+    """
+    tenantId: builtins.str
+    """the tenant id of the deployed decision requirements"""
+    def __init__(
+        self,
+        *,
+        dmnDecisionRequirementsId: builtins.str = ...,
+        dmnDecisionRequirementsName: builtins.str = ...,
+        version: builtins.int = ...,
+        decisionRequirementsKey: builtins.int = ...,
+        resourceName: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["decisionRequirementsKey", b"decisionRequirementsKey", "dmnDecisionRequirementsId", b"dmnDecisionRequirementsId", "dmnDecisionRequirementsName", b"dmnDecisionRequirementsName", "resourceName", b"resourceName", "tenantId", b"tenantId", "version", b"version"]) -> None: ...
+
+global___DecisionRequirementsMetadata = DecisionRequirementsMetadata
+
+@typing.final
+class FormMetadata(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    FORMID_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    FORMKEY_FIELD_NUMBER: builtins.int
+    RESOURCENAME_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    formId: builtins.str
+    """the form ID, as parsed during deployment; together with the
+    versions forms a unique identifier for a specific form
+    """
+    version: builtins.int
+    """the assigned form version"""
+    formKey: builtins.int
+    """the assigned key, which acts as a unique identifier for this form"""
+    resourceName: builtins.str
+    """the resource name"""
+    tenantId: builtins.str
+    """the tenant id of the deployed form"""
+    def __init__(
+        self,
+        *,
+        formId: builtins.str = ...,
+        version: builtins.int = ...,
+        formKey: builtins.int = ...,
+        resourceName: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["formId", b"formId", "formKey", b"formKey", "resourceName", b"resourceName", "tenantId", b"tenantId", "version", b"version"]) -> None: ...
+
+global___FormMetadata = FormMetadata
+
+@typing.final
+class FailJobRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    JOBKEY_FIELD_NUMBER: builtins.int
+    RETRIES_FIELD_NUMBER: builtins.int
+    ERRORMESSAGE_FIELD_NUMBER: builtins.int
+    RETRYBACKOFF_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    jobKey: builtins.int
+    """the unique job identifier, as obtained when activating the job"""
+    retries: builtins.int
+    """the amount of retries the job should have left"""
+    errorMessage: builtins.str
+    """an optional message describing why the job failed
+    this is particularly useful if a job runs out of retries and an incident is raised,
+    as it this message can help explain why an incident was raised
+    """
+    retryBackOff: builtins.int
+    """the backoff timeout (in ms) for the next retry"""
+    variables: builtins.str
+    """JSON document that will instantiate the variables at the local scope of the
+    job's associated task; it must be a JSON object, as variables will be mapped in a
+    key-value fashion. e.g. { "a": 1, "b": 2 } will create two variables, named "a" and
+    "b" respectively, with their associated values. [{ "a": 1, "b": 2 }] would not be a
+    valid argument, as the root of the JSON document is an array and not an object.
+    """
+    def __init__(
+        self,
+        *,
+        jobKey: builtins.int = ...,
+        retries: builtins.int = ...,
+        errorMessage: builtins.str = ...,
+        retryBackOff: builtins.int = ...,
+        variables: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["errorMessage", b"errorMessage", "jobKey", b"jobKey", "retries", b"retries", "retryBackOff", b"retryBackOff", "variables", b"variables"]) -> None: ...
+
+global___FailJobRequest = FailJobRequest
+
+@typing.final
+class FailJobResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___FailJobResponse = FailJobResponse
+
+@typing.final
+class ThrowErrorRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    JOBKEY_FIELD_NUMBER: builtins.int
+    ERRORCODE_FIELD_NUMBER: builtins.int
+    ERRORMESSAGE_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    jobKey: builtins.int
+    """the unique job identifier, as obtained when activating the job"""
+    errorCode: builtins.str
+    """the error code that will be matched with an error catch event"""
+    errorMessage: builtins.str
+    """an optional error message that provides additional context"""
+    variables: builtins.str
+    """JSON document that will instantiate the variables at the local scope of the
+    error catch event that catches the thrown error; it must be a JSON object, as variables will be mapped in a
+    key-value fashion. e.g. { "a": 1, "b": 2 } will create two variables, named "a" and
+    "b" respectively, with their associated values. [{ "a": 1, "b": 2 }] would not be a
+    valid argument, as the root of the JSON document is an array and not an object.
+    """
+    def __init__(
+        self,
+        *,
+        jobKey: builtins.int = ...,
+        errorCode: builtins.str = ...,
+        errorMessage: builtins.str = ...,
+        variables: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["errorCode", b"errorCode", "errorMessage", b"errorMessage", "jobKey", b"jobKey", "variables", b"variables"]) -> None: ...
+
+global___ThrowErrorRequest = ThrowErrorRequest
+
+@typing.final
+class ThrowErrorResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___ThrowErrorResponse = ThrowErrorResponse
+
+@typing.final
+class PublishMessageRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    NAME_FIELD_NUMBER: builtins.int
+    CORRELATIONKEY_FIELD_NUMBER: builtins.int
+    TIMETOLIVE_FIELD_NUMBER: builtins.int
+    MESSAGEID_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    name: builtins.str
+    """the name of the message"""
+    correlationKey: builtins.str
+    """the correlation key of the message"""
+    timeToLive: builtins.int
+    """how long the message should be buffered on the broker, in milliseconds"""
+    messageId: builtins.str
+    """the unique ID of the message; can be omitted. only useful to ensure only one message
+    with the given ID will ever be published (during its lifetime)
+    """
+    variables: builtins.str
+    """the message variables as a JSON document; to be valid, the root of the document must be an
+    object, e.g. { "a": "foo" }. [ "foo" ] would not be valid.
+    """
+    tenantId: builtins.str
+    """the tenant id of the message"""
+    def __init__(
+        self,
+        *,
+        name: builtins.str = ...,
+        correlationKey: builtins.str = ...,
+        timeToLive: builtins.int = ...,
+        messageId: builtins.str = ...,
+        variables: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["correlationKey", b"correlationKey", "messageId", b"messageId", "name", b"name", "tenantId", b"tenantId", "timeToLive", b"timeToLive", "variables", b"variables"]) -> None: ...
+
+global___PublishMessageRequest = PublishMessageRequest
+
+@typing.final
+class PublishMessageResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    KEY_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    key: builtins.int
+    """the unique ID of the message that was published"""
+    tenantId: builtins.str
+    """the tenant id of the message"""
+    def __init__(
+        self,
+        *,
+        key: builtins.int = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["key", b"key", "tenantId", b"tenantId"]) -> None: ...
+
+global___PublishMessageResponse = PublishMessageResponse
+
+@typing.final
+class ResolveIncidentRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    INCIDENTKEY_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    incidentKey: builtins.int
+    """the unique ID of the incident to resolve"""
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    def __init__(
+        self,
+        *,
+        incidentKey: builtins.int = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "incidentKey", b"incidentKey", "operationReference", b"operationReference"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___ResolveIncidentRequest = ResolveIncidentRequest
+
+@typing.final
+class ResolveIncidentResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___ResolveIncidentResponse = ResolveIncidentResponse
+
+@typing.final
+class TopologyRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___TopologyRequest = TopologyRequest
+
+@typing.final
+class TopologyResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    BROKERS_FIELD_NUMBER: builtins.int
+    CLUSTERSIZE_FIELD_NUMBER: builtins.int
+    PARTITIONSCOUNT_FIELD_NUMBER: builtins.int
+    REPLICATIONFACTOR_FIELD_NUMBER: builtins.int
+    GATEWAYVERSION_FIELD_NUMBER: builtins.int
+    clusterSize: builtins.int
+    """how many nodes are in the cluster"""
+    partitionsCount: builtins.int
+    """how many partitions are spread across the cluster"""
+    replicationFactor: builtins.int
+    """configured replication factor for this cluster"""
+    gatewayVersion: builtins.str
+    """gateway version"""
+    @property
+    def brokers(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BrokerInfo]:
+        """list of brokers part of this cluster"""
+
+    def __init__(
+        self,
+        *,
+        brokers: collections.abc.Iterable[global___BrokerInfo] | None = ...,
+        clusterSize: builtins.int = ...,
+        partitionsCount: builtins.int = ...,
+        replicationFactor: builtins.int = ...,
+        gatewayVersion: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["brokers", b"brokers", "clusterSize", b"clusterSize", "gatewayVersion", b"gatewayVersion", "partitionsCount", b"partitionsCount", "replicationFactor", b"replicationFactor"]) -> None: ...
+
+global___TopologyResponse = TopologyResponse
+
+@typing.final
+class BrokerInfo(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    NODEID_FIELD_NUMBER: builtins.int
+    HOST_FIELD_NUMBER: builtins.int
+    PORT_FIELD_NUMBER: builtins.int
+    PARTITIONS_FIELD_NUMBER: builtins.int
+    VERSION_FIELD_NUMBER: builtins.int
+    nodeId: builtins.int
+    """unique (within a cluster) node ID for the broker"""
+    host: builtins.str
+    """hostname of the broker"""
+    port: builtins.int
+    """port for the broker"""
+    version: builtins.str
+    """broker version"""
+    @property
+    def partitions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Partition]:
+        """list of partitions managed or replicated on this broker"""
+
+    def __init__(
+        self,
+        *,
+        nodeId: builtins.int = ...,
+        host: builtins.str = ...,
+        port: builtins.int = ...,
+        partitions: collections.abc.Iterable[global___Partition] | None = ...,
+        version: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["host", b"host", "nodeId", b"nodeId", "partitions", b"partitions", "port", b"port", "version", b"version"]) -> None: ...
+
+global___BrokerInfo = BrokerInfo
+
+@typing.final
+class Partition(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    class _PartitionBrokerRole:
+        ValueType = typing.NewType("ValueType", builtins.int)
+        V: typing_extensions.TypeAlias = ValueType
+
+    class _PartitionBrokerRoleEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[Partition._PartitionBrokerRole.ValueType], builtins.type):
+        DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor
+        LEADER: Partition._PartitionBrokerRole.ValueType  # 0
+        FOLLOWER: Partition._PartitionBrokerRole.ValueType  # 1
+        INACTIVE: Partition._PartitionBrokerRole.ValueType  # 2
+
+    class PartitionBrokerRole(_PartitionBrokerRole, metaclass=_PartitionBrokerRoleEnumTypeWrapper):
+        """Describes the Raft role of the broker for a given partition"""
+
+    LEADER: Partition.PartitionBrokerRole.ValueType  # 0
+    FOLLOWER: Partition.PartitionBrokerRole.ValueType  # 1
+    INACTIVE: Partition.PartitionBrokerRole.ValueType  # 2
+
+    class _PartitionBrokerHealth:
+        ValueType = typing.NewType("ValueType", builtins.int)
+        V: typing_extensions.TypeAlias = ValueType
+
+    class _PartitionBrokerHealthEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[Partition._PartitionBrokerHealth.ValueType], builtins.type):
+        DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor
+        HEALTHY: Partition._PartitionBrokerHealth.ValueType  # 0
+        UNHEALTHY: Partition._PartitionBrokerHealth.ValueType  # 1
+        DEAD: Partition._PartitionBrokerHealth.ValueType  # 2
+
+    class PartitionBrokerHealth(_PartitionBrokerHealth, metaclass=_PartitionBrokerHealthEnumTypeWrapper):
+        """Describes the current health of the partition"""
+
+    HEALTHY: Partition.PartitionBrokerHealth.ValueType  # 0
+    UNHEALTHY: Partition.PartitionBrokerHealth.ValueType  # 1
+    DEAD: Partition.PartitionBrokerHealth.ValueType  # 2
+
+    PARTITIONID_FIELD_NUMBER: builtins.int
+    ROLE_FIELD_NUMBER: builtins.int
+    HEALTH_FIELD_NUMBER: builtins.int
+    partitionId: builtins.int
+    """the unique ID of this partition"""
+    role: global___Partition.PartitionBrokerRole.ValueType
+    """the role of the broker for this partition"""
+    health: global___Partition.PartitionBrokerHealth.ValueType
+    """the health of this partition"""
+    def __init__(
+        self,
+        *,
+        partitionId: builtins.int = ...,
+        role: global___Partition.PartitionBrokerRole.ValueType = ...,
+        health: global___Partition.PartitionBrokerHealth.ValueType = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["health", b"health", "partitionId", b"partitionId", "role", b"role"]) -> None: ...
+
+global___Partition = Partition
+
+@typing.final
+class UpdateJobRetriesRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    JOBKEY_FIELD_NUMBER: builtins.int
+    RETRIES_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    jobKey: builtins.int
+    """the unique job identifier, as obtained through ActivateJobs"""
+    retries: builtins.int
+    """the new amount of retries for the job; must be positive"""
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    def __init__(
+        self,
+        *,
+        jobKey: builtins.int = ...,
+        retries: builtins.int = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "jobKey", b"jobKey", "operationReference", b"operationReference", "retries", b"retries"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___UpdateJobRetriesRequest = UpdateJobRetriesRequest
+
+@typing.final
+class UpdateJobRetriesResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___UpdateJobRetriesResponse = UpdateJobRetriesResponse
+
+@typing.final
+class UpdateJobTimeoutRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    JOBKEY_FIELD_NUMBER: builtins.int
+    TIMEOUT_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    jobKey: builtins.int
+    """the unique job identifier, as obtained from ActivateJobsResponse"""
+    timeout: builtins.int
+    """the duration of the new timeout in ms, starting from the current moment"""
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    def __init__(
+        self,
+        *,
+        jobKey: builtins.int = ...,
+        timeout: builtins.int = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "jobKey", b"jobKey", "operationReference", b"operationReference", "timeout", b"timeout"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___UpdateJobTimeoutRequest = UpdateJobTimeoutRequest
+
+@typing.final
+class UpdateJobTimeoutResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___UpdateJobTimeoutResponse = UpdateJobTimeoutResponse
+
+@typing.final
+class SetVariablesRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    ELEMENTINSTANCEKEY_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    LOCAL_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    elementInstanceKey: builtins.int
+    """the unique identifier of a particular element; can be the process instance key (as
+    obtained during instance creation), or a given element, such as a service task (see
+    elementInstanceKey on the job message)
+    """
+    variables: builtins.str
+    """a JSON serialized document describing variables as key value pairs; the root of the document
+    must be an object
+    """
+    local: builtins.bool
+    """if true, the variables will be merged strictly into the local scope (as indicated by
+    elementInstanceKey); this means the variables is not propagated to upper scopes.
+    for example, let's say we have two scopes, '1' and '2', with each having effective variables as:
+    1 => `{ "foo" : 2 }`, and 2 => `{ "bar" : 1 }`. if we send an update request with
+    elementInstanceKey = 2, variables `{ "foo" : 5 }`, and local is true, then scope 1 will
+    be unchanged, and scope 2 will now be `{ "bar" : 1, "foo" 5 }`. if local was false, however,
+    then scope 1 would be `{ "foo": 5 }`, and scope 2 would be `{ "bar" : 1 }`.
+    """
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    def __init__(
+        self,
+        *,
+        elementInstanceKey: builtins.int = ...,
+        variables: builtins.str = ...,
+        local: builtins.bool = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "elementInstanceKey", b"elementInstanceKey", "local", b"local", "operationReference", b"operationReference", "variables", b"variables"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___SetVariablesRequest = SetVariablesRequest
+
+@typing.final
+class SetVariablesResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    KEY_FIELD_NUMBER: builtins.int
+    key: builtins.int
+    """the unique key of the set variables command"""
+    def __init__(
+        self,
+        *,
+        key: builtins.int = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["key", b"key"]) -> None: ...
+
+global___SetVariablesResponse = SetVariablesResponse
+
+@typing.final
+class ModifyProcessInstanceRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    @typing.final
+    class ActivateInstruction(google.protobuf.message.Message):
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        ELEMENTID_FIELD_NUMBER: builtins.int
+        ANCESTORELEMENTINSTANCEKEY_FIELD_NUMBER: builtins.int
+        VARIABLEINSTRUCTIONS_FIELD_NUMBER: builtins.int
+        elementId: builtins.str
+        """the id of the element that should be activated"""
+        ancestorElementInstanceKey: builtins.int
+        """the key of the ancestor scope the element instance should be created in;
+        set to -1 to create the new element instance within an existing element
+        instance of the flow scope
+        """
+        @property
+        def variableInstructions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ModifyProcessInstanceRequest.VariableInstruction]:
+            """instructions describing which variables should be created"""
+
+        def __init__(
+            self,
+            *,
+            elementId: builtins.str = ...,
+            ancestorElementInstanceKey: builtins.int = ...,
+            variableInstructions: collections.abc.Iterable[global___ModifyProcessInstanceRequest.VariableInstruction] | None = ...,
+        ) -> None: ...
+        def ClearField(self, field_name: typing.Literal["ancestorElementInstanceKey", b"ancestorElementInstanceKey", "elementId", b"elementId", "variableInstructions", b"variableInstructions"]) -> None: ...
+
+    @typing.final
+    class VariableInstruction(google.protobuf.message.Message):
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        VARIABLES_FIELD_NUMBER: builtins.int
+        SCOPEID_FIELD_NUMBER: builtins.int
+        variables: builtins.str
+        """JSON document that will instantiate the variables for the root variable scope of the
+        process instance; it must be a JSON object, as variables will be mapped in a
+        key-value fashion. e.g. { "a": 1, "b": 2 } will create two variables, named "a" and
+        "b" respectively, with their associated values. [{ "a": 1, "b": 2 }] would not be a
+        valid argument, as the root of the JSON document is an array and not an object.
+        """
+        scopeId: builtins.str
+        """the id of the element in which scope the variables should be created;
+        leave empty to create the variables in the global scope of the process instance
+        """
+        def __init__(
+            self,
+            *,
+            variables: builtins.str = ...,
+            scopeId: builtins.str = ...,
+        ) -> None: ...
+        def ClearField(self, field_name: typing.Literal["scopeId", b"scopeId", "variables", b"variables"]) -> None: ...
+
+    @typing.final
+    class TerminateInstruction(google.protobuf.message.Message):
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        ELEMENTINSTANCEKEY_FIELD_NUMBER: builtins.int
+        elementInstanceKey: builtins.int
+        """the id of the element that should be terminated"""
+        def __init__(
+            self,
+            *,
+            elementInstanceKey: builtins.int = ...,
+        ) -> None: ...
+        def ClearField(self, field_name: typing.Literal["elementInstanceKey", b"elementInstanceKey"]) -> None: ...
+
+    PROCESSINSTANCEKEY_FIELD_NUMBER: builtins.int
+    ACTIVATEINSTRUCTIONS_FIELD_NUMBER: builtins.int
+    TERMINATEINSTRUCTIONS_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    processInstanceKey: builtins.int
+    """the key of the process instance that should be modified"""
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    @property
+    def activateInstructions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ModifyProcessInstanceRequest.ActivateInstruction]:
+        """instructions describing which elements should be activated in which scopes,
+        and which variables should be created
+        """
+
+    @property
+    def terminateInstructions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ModifyProcessInstanceRequest.TerminateInstruction]:
+        """instructions describing which elements should be terminated"""
+
+    def __init__(
+        self,
+        *,
+        processInstanceKey: builtins.int = ...,
+        activateInstructions: collections.abc.Iterable[global___ModifyProcessInstanceRequest.ActivateInstruction] | None = ...,
+        terminateInstructions: collections.abc.Iterable[global___ModifyProcessInstanceRequest.TerminateInstruction] | None = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "activateInstructions", b"activateInstructions", "operationReference", b"operationReference", "processInstanceKey", b"processInstanceKey", "terminateInstructions", b"terminateInstructions"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___ModifyProcessInstanceRequest = ModifyProcessInstanceRequest
+
+@typing.final
+class ModifyProcessInstanceResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___ModifyProcessInstanceResponse = ModifyProcessInstanceResponse
+
+@typing.final
+class MigrateProcessInstanceRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    @typing.final
+    class MigrationPlan(google.protobuf.message.Message):
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        TARGETPROCESSDEFINITIONKEY_FIELD_NUMBER: builtins.int
+        MAPPINGINSTRUCTIONS_FIELD_NUMBER: builtins.int
+        targetProcessDefinitionKey: builtins.int
+        """the key of process definition to migrate the process instance to"""
+        @property
+        def mappingInstructions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___MigrateProcessInstanceRequest.MappingInstruction]:
+            """the mapping instructions describe how to map elements from the source process definition to the target process definition"""
+
+        def __init__(
+            self,
+            *,
+            targetProcessDefinitionKey: builtins.int = ...,
+            mappingInstructions: collections.abc.Iterable[global___MigrateProcessInstanceRequest.MappingInstruction] | None = ...,
+        ) -> None: ...
+        def ClearField(self, field_name: typing.Literal["mappingInstructions", b"mappingInstructions", "targetProcessDefinitionKey", b"targetProcessDefinitionKey"]) -> None: ...
+
+    @typing.final
+    class MappingInstruction(google.protobuf.message.Message):
+        DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+        SOURCEELEMENTID_FIELD_NUMBER: builtins.int
+        TARGETELEMENTID_FIELD_NUMBER: builtins.int
+        sourceElementId: builtins.str
+        """the element id to migrate from"""
+        targetElementId: builtins.str
+        """the element id to migrate into"""
+        def __init__(
+            self,
+            *,
+            sourceElementId: builtins.str = ...,
+            targetElementId: builtins.str = ...,
+        ) -> None: ...
+        def ClearField(self, field_name: typing.Literal["sourceElementId", b"sourceElementId", "targetElementId", b"targetElementId"]) -> None: ...
+
+    PROCESSINSTANCEKEY_FIELD_NUMBER: builtins.int
+    MIGRATIONPLAN_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    processInstanceKey: builtins.int
+    """key of the process instance to migrate"""
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    @property
+    def migrationPlan(self) -> global___MigrateProcessInstanceRequest.MigrationPlan:
+        """the migration plan that defines target process and element mappings"""
+
+    def __init__(
+        self,
+        *,
+        processInstanceKey: builtins.int = ...,
+        migrationPlan: global___MigrateProcessInstanceRequest.MigrationPlan | None = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "migrationPlan", b"migrationPlan", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "migrationPlan", b"migrationPlan", "operationReference", b"operationReference", "processInstanceKey", b"processInstanceKey"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___MigrateProcessInstanceRequest = MigrateProcessInstanceRequest
+
+@typing.final
+class MigrateProcessInstanceResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___MigrateProcessInstanceResponse = MigrateProcessInstanceResponse
+
+@typing.final
+class DeleteResourceRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    RESOURCEKEY_FIELD_NUMBER: builtins.int
+    OPERATIONREFERENCE_FIELD_NUMBER: builtins.int
+    resourceKey: builtins.int
+    """The key of the resource that should be deleted. This can either be the key
+    of a process definition, the key of a decision requirements definition or the key of a form.
+    """
+    operationReference: builtins.int
+    """a reference key chosen by the user and will be part of all records resulted from this operation"""
+    def __init__(
+        self,
+        *,
+        resourceKey: builtins.int = ...,
+        operationReference: builtins.int | None = ...,
+    ) -> None: ...
+    def HasField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference"]) -> builtins.bool: ...
+    def ClearField(self, field_name: typing.Literal["_operationReference", b"_operationReference", "operationReference", b"operationReference", "resourceKey", b"resourceKey"]) -> None: ...
+    def WhichOneof(self, oneof_group: typing.Literal["_operationReference", b"_operationReference"]) -> typing.Literal["operationReference"] | None: ...
+
+global___DeleteResourceRequest = DeleteResourceRequest
+
+@typing.final
+class DeleteResourceResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    def __init__(
+        self,
+    ) -> None: ...
+
+global___DeleteResourceResponse = DeleteResourceResponse
+
+@typing.final
+class BroadcastSignalRequest(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    SIGNALNAME_FIELD_NUMBER: builtins.int
+    VARIABLES_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    signalName: builtins.str
+    """The name of the signal"""
+    variables: builtins.str
+    """the signal variables as a JSON document; to be valid, the root of the document must be an
+    object, e.g. { "a": "foo" }. [ "foo" ] would not be valid.
+    """
+    tenantId: builtins.str
+    """the id of the tenant that owns the signal."""
+    def __init__(
+        self,
+        *,
+        signalName: builtins.str = ...,
+        variables: builtins.str = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["signalName", b"signalName", "tenantId", b"tenantId", "variables", b"variables"]) -> None: ...
+
+global___BroadcastSignalRequest = BroadcastSignalRequest
+
+@typing.final
+class BroadcastSignalResponse(google.protobuf.message.Message):
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    KEY_FIELD_NUMBER: builtins.int
+    TENANTID_FIELD_NUMBER: builtins.int
+    key: builtins.int
+    """the unique ID of the signal that was broadcasted."""
+    tenantId: builtins.str
+    """the tenant id of the signal that was broadcasted."""
+    def __init__(
+        self,
+        *,
+        key: builtins.int = ...,
+        tenantId: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(self, field_name: typing.Literal["key", b"key", "tenantId", b"tenantId"]) -> None: ...
+
+global___BroadcastSignalResponse = BroadcastSignalResponse
diff --git a/pyzeebe/proto/gateway_pb2_grpc.py b/pyzeebe/proto/gateway_pb2_grpc.py
new file mode 100644
index 00000000..9ab03c4f
--- /dev/null
+++ b/pyzeebe/proto/gateway_pb2_grpc.py
@@ -0,0 +1,1187 @@
+# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
+"""Client and server classes corresponding to protobuf-defined services."""
+import grpc
+import warnings
+
+from pyzeebe.proto import gateway_pb2 as pyzeebe_dot_proto_dot_gateway__pb2
+
+GRPC_GENERATED_VERSION = '1.68.1'
+GRPC_VERSION = grpc.__version__
+_version_not_supported = False
+
+try:
+    from grpc._utilities import first_version_is_lower
+    _version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION)
+except ImportError:
+    _version_not_supported = True
+
+if _version_not_supported:
+    raise RuntimeError(
+        f'The grpc package installed is at version {GRPC_VERSION},'
+        + f' but the generated code in pyzeebe/proto/gateway_pb2_grpc.py depends on'
+        + f' grpcio>={GRPC_GENERATED_VERSION}.'
+        + f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
+        + f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
+    )
+
+
+class GatewayStub(object):
+    """Missing associated documentation comment in .proto file."""
+
+    def __init__(self, channel):
+        """Constructor.
+
+        Args:
+            channel: A grpc.Channel.
+        """
+        self.ActivateJobs = channel.unary_stream(
+                '/gateway_protocol.Gateway/ActivateJobs',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ActivateJobsRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ActivateJobsResponse.FromString,
+                _registered_method=True)
+        self.StreamActivatedJobs = channel.unary_stream(
+                '/gateway_protocol.Gateway/StreamActivatedJobs',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.StreamActivatedJobsRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ActivatedJob.FromString,
+                _registered_method=True)
+        self.CancelProcessInstance = channel.unary_unary(
+                '/gateway_protocol.Gateway/CancelProcessInstance',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CancelProcessInstanceRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CancelProcessInstanceResponse.FromString,
+                _registered_method=True)
+        self.CompleteJob = channel.unary_unary(
+                '/gateway_protocol.Gateway/CompleteJob',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CompleteJobRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CompleteJobResponse.FromString,
+                _registered_method=True)
+        self.CreateProcessInstance = channel.unary_unary(
+                '/gateway_protocol.Gateway/CreateProcessInstance',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceResponse.FromString,
+                _registered_method=True)
+        self.CreateProcessInstanceWithResult = channel.unary_unary(
+                '/gateway_protocol.Gateway/CreateProcessInstanceWithResult',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceWithResultRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceWithResultResponse.FromString,
+                _registered_method=True)
+        self.EvaluateDecision = channel.unary_unary(
+                '/gateway_protocol.Gateway/EvaluateDecision',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.EvaluateDecisionRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.EvaluateDecisionResponse.FromString,
+                _registered_method=True)
+        self.DeployProcess = channel.unary_unary(
+                '/gateway_protocol.Gateway/DeployProcess',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployProcessRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployProcessResponse.FromString,
+                _registered_method=True)
+        self.DeployResource = channel.unary_unary(
+                '/gateway_protocol.Gateway/DeployResource',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployResourceRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployResourceResponse.FromString,
+                _registered_method=True)
+        self.FailJob = channel.unary_unary(
+                '/gateway_protocol.Gateway/FailJob',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.FailJobRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.FailJobResponse.FromString,
+                _registered_method=True)
+        self.ThrowError = channel.unary_unary(
+                '/gateway_protocol.Gateway/ThrowError',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ThrowErrorRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ThrowErrorResponse.FromString,
+                _registered_method=True)
+        self.PublishMessage = channel.unary_unary(
+                '/gateway_protocol.Gateway/PublishMessage',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.PublishMessageRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.PublishMessageResponse.FromString,
+                _registered_method=True)
+        self.ResolveIncident = channel.unary_unary(
+                '/gateway_protocol.Gateway/ResolveIncident',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ResolveIncidentRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ResolveIncidentResponse.FromString,
+                _registered_method=True)
+        self.SetVariables = channel.unary_unary(
+                '/gateway_protocol.Gateway/SetVariables',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.SetVariablesRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.SetVariablesResponse.FromString,
+                _registered_method=True)
+        self.Topology = channel.unary_unary(
+                '/gateway_protocol.Gateway/Topology',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.TopologyRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.TopologyResponse.FromString,
+                _registered_method=True)
+        self.UpdateJobRetries = channel.unary_unary(
+                '/gateway_protocol.Gateway/UpdateJobRetries',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobRetriesRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobRetriesResponse.FromString,
+                _registered_method=True)
+        self.ModifyProcessInstance = channel.unary_unary(
+                '/gateway_protocol.Gateway/ModifyProcessInstance',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ModifyProcessInstanceRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ModifyProcessInstanceResponse.FromString,
+                _registered_method=True)
+        self.MigrateProcessInstance = channel.unary_unary(
+                '/gateway_protocol.Gateway/MigrateProcessInstance',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.MigrateProcessInstanceRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.MigrateProcessInstanceResponse.FromString,
+                _registered_method=True)
+        self.UpdateJobTimeout = channel.unary_unary(
+                '/gateway_protocol.Gateway/UpdateJobTimeout',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobTimeoutRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobTimeoutResponse.FromString,
+                _registered_method=True)
+        self.DeleteResource = channel.unary_unary(
+                '/gateway_protocol.Gateway/DeleteResource',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.DeleteResourceRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.DeleteResourceResponse.FromString,
+                _registered_method=True)
+        self.BroadcastSignal = channel.unary_unary(
+                '/gateway_protocol.Gateway/BroadcastSignal',
+                request_serializer=pyzeebe_dot_proto_dot_gateway__pb2.BroadcastSignalRequest.SerializeToString,
+                response_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.BroadcastSignalResponse.FromString,
+                _registered_method=True)
+
+
+class GatewayServicer(object):
+    """Missing associated documentation comment in .proto file."""
+
+    def ActivateJobs(self, request, context):
+        """
+        Iterates through all known partitions round-robin and activates up to the requested
+        maximum and streams them back to the client as they are activated.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - type is blank (empty string, null)
+        - worker is blank (empty string, null)
+        - timeout less than 1
+        - maxJobsToActivate is less than 1
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def StreamActivatedJobs(self, request, context):
+        """
+        Registers client to a job stream that will stream jobs back to the client as
+        they become activatable.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - type is blank (empty string, null)
+        - timeout less than 1
+        - If multi-tenancy is enabled, and tenantIds is empty (empty list)
+        - If multi-tenancy is enabled, and an invalid tenant ID is provided. A tenant ID is considered invalid if:
+        - The tenant ID is blank (empty string, null)
+        - The tenant ID is longer than 31 characters
+        - The tenant ID contains anything other than alphanumeric characters, dot (.), dash (-), or underscore (_)
+        - If multi-tenancy is disabled, and tenantIds is not empty (empty list), or has an ID other than <default>
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def CancelProcessInstance(self, request, context):
+        """
+        Cancels a running process instance
+
+        Errors:
+        NOT_FOUND:
+        - no process instance exists with the given key
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def CompleteJob(self, request, context):
+        """
+        Completes a job with the given variables, which allows completing the associated service task.
+
+        Errors:
+        NOT_FOUND:
+        - no job exists with the given job key. Note that since jobs are removed once completed,
+        it could be that this job did exist at some point.
+
+        FAILED_PRECONDITION:
+        - the job was marked as failed. In that case, the related incident must be resolved before
+        the job can be activated again and completed.
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def CreateProcessInstance(self, request, context):
+        """
+        Creates and starts an instance of the specified process. The process definition to use to
+        create the instance can be specified either using its unique key (as returned by
+        DeployProcess), or using the BPMN process ID and a version. Pass -1 as the version to use the
+        latest deployed version. Note that only processes with none start events can be started through
+        this command.
+
+        Errors:
+        NOT_FOUND:
+        - no process with the given key exists (if processDefinitionKey was given)
+        - no process with the given process ID exists (if bpmnProcessId was given but version was -1)
+        - no process with the given process ID and version exists (if both bpmnProcessId and version were given)
+
+        FAILED_PRECONDITION:
+        - the process definition does not contain a none start event; only processes with none
+        start event can be started manually.
+
+        INVALID_ARGUMENT:
+        - the given variables argument is not a valid JSON document; it is expected to be a valid
+        JSON document where the root node is an object.
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def CreateProcessInstanceWithResult(self, request, context):
+        """
+        Behaves similarly to `rpc CreateProcessInstance`, except that a successful response is received when the process completes successfully.
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def EvaluateDecision(self, request, context):
+        """
+        Evaluates a decision. The decision to evaluate can be specified either by
+        using its unique key (as returned by DeployResource), or using the decision
+        ID. When using the decision ID, the latest deployed version of the decision
+        is used.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - no decision with the given key exists (if decisionKey was given)
+        - no decision with the given decision ID exists (if decisionId was given)
+        - both decision ID and decision KEY were provided, or are missing
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def DeployProcess(self, request, context):
+        """
+        Deploys one or more processes to Zeebe. Note that this is an atomic call,
+        i.e. either all processes are deployed, or none of them are.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - no resources given.
+        - if at least one resource is invalid. A resource is considered invalid if:
+        - the resource data is not deserializable (e.g. detected as BPMN, but it's broken XML)
+        - the process is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def DeployResource(self, request, context):
+        """
+        Deploys one or more resources (e.g. processes or decision models) to Zeebe.
+        Note that this is an atomic call, i.e. either all resources are deployed, or none of them are.
+
+        Errors:
+        PERMISSION_DENIED:
+        - if a deployment to an unauthorized tenant is performed
+        INVALID_ARGUMENT:
+        - no resources given.
+        - if at least one resource is invalid. A resource is considered invalid if:
+        - the content is not deserializable (e.g. detected as BPMN, but it's broken XML)
+        - the content is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+        - if multi-tenancy is enabled, and:
+        - a tenant id is not provided
+        - a tenant id with an invalid format is provided
+        - if multi-tenancy is disabled and a tenant id is provided
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def FailJob(self, request, context):
+        """
+        Marks the job as failed; if the retries argument is positive, then the job will be immediately
+        activatable again, and a worker could try again to process it. If it is zero or negative however,
+        an incident will be raised, tagged with the given errorMessage, and the job will not be
+        activatable until the incident is resolved.
+
+        Errors:
+        NOT_FOUND:
+        - no job was found with the given key
+
+        FAILED_PRECONDITION:
+        - the job was not activated
+        - the job is already in a failed state, i.e. ran out of retries
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def ThrowError(self, request, context):
+        """
+        Reports a business error (i.e. non-technical) that occurs while processing a job. The error is handled in the process by an error catch event. If there is no error catch event with the specified errorCode then an incident will be raised instead.
+
+        Errors:
+        NOT_FOUND:
+        - no job was found with the given key
+
+        FAILED_PRECONDITION:
+        - the job is not in an activated state
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def PublishMessage(self, request, context):
+        """
+        Publishes a single message. Messages are published to specific partitions computed from their
+        correlation keys.
+
+        Errors:
+        ALREADY_EXISTS:
+        - a message with the same ID was previously published (and is still alive)
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def ResolveIncident(self, request, context):
+        """
+        Resolves a given incident. This simply marks the incident as resolved; most likely a call to
+        UpdateJobRetries or SetVariables will be necessary to actually resolve the
+        problem, following by this call.
+
+        Errors:
+        NOT_FOUND:
+        - no incident with the given key exists
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def SetVariables(self, request, context):
+        """
+        Updates all the variables of a particular scope (e.g. process instance, flow element instance)
+        from the given JSON document.
+
+        Errors:
+        NOT_FOUND:
+        - no element with the given elementInstanceKey exists
+        INVALID_ARGUMENT:
+        - the given variables document is not a valid JSON document; valid documents are expected to
+        be JSON documents where the root node is an object.
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def Topology(self, request, context):
+        """
+        Obtains the current topology of the cluster the gateway is part of.
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def UpdateJobRetries(self, request, context):
+        """
+        Updates the number of retries a job has left. This is mostly useful for jobs that have run out of
+        retries, should the underlying problem be solved.
+
+        Errors:
+        NOT_FOUND:
+        - no job exists with the given key
+
+        INVALID_ARGUMENT:
+        - retries is not greater than 0
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def ModifyProcessInstance(self, request, context):
+        """
+        Modifies the process instance. This is done by activating and/or terminating specific elements of the instance.
+
+        Errors:
+        NOT_FOUND:
+        - no process instance exists with the given key
+
+        FAILED_PRECONDITION:
+        - trying to activate element inside of a multi-instance
+
+        INVALID_ARGUMENT:
+        - activating or terminating unknown element
+        - ancestor of element for activation doesn't exist
+        - scope of variable is unknown
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def MigrateProcessInstance(self, request, context):
+        """
+        Migrates the process instance to the specified process definition.
+        In simple terms, this is handled by updating the active element's process.
+
+        Errors:
+        NOT_FOUND:
+        - no process instance exists with the given key, or it is not active
+        - no process definition exists with the given target definition key
+        - no process instance exists with the given key for the tenants the user is authorized to work with.
+
+        FAILED_PRECONDITION:
+        - not all active elements in the given process instance are mapped to the elements in the target process definition
+        - a mapping instruction changes the type of an element or event
+        - a mapping instruction changes the implementation of a task
+        - a mapping instruction detaches a boundary event from an active element
+        - a mapping instruction refers to an unsupported element (i.e. some elements will be supported later on)
+        - a mapping instruction refers to element in unsupported scenarios.
+        (i.e. migration is not supported when process instance or target process elements contains event subscriptions)
+        - multiple mapping instructions target the same boundary event
+
+        INVALID_ARGUMENT:
+        - A `sourceElementId` does not refer to an element in the process instance's process definition
+        - A `targetElementId` does not refer to an element in the target process definition
+        - A `sourceElementId` is mapped by multiple mapping instructions.
+        For example, the engine cannot determine how to migrate a process instance when the instructions are: [A->B, A->C].
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def UpdateJobTimeout(self, request, context):
+        """
+        Updates the deadline of a job using the timeout (in ms) provided. This can be used
+        for extending or shortening the job deadline.
+
+        Errors:
+        NOT_FOUND:
+        - no job exists with the given key
+
+        INVALID_STATE:
+        - no deadline exists for the given job key
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def DeleteResource(self, request, context):
+        """
+        Deletes a resource from the state. Once a resource has been deleted it cannot
+        be recovered. If the resource needs to be available again, a new deployment
+        of the resource is required.
+
+        Deleting a process will cancel any running instances of this process
+        definition. New instances of a deleted process are created using
+        the lastest version that hasn't been deleted. Creating a new
+        process instance is impossible when all versions have been
+        deleted.
+
+        Deleting a decision requirement definitions could cause incidents in process
+        instances referencing these decisions in a business rule task. A decision
+        will be evaluated with the latest version that hasn't been deleted. If all
+        versions of a decision have been deleted the evaluation is rejected.
+
+        Errors:
+        NOT_FOUND:
+        - No resource exists with the given key
+
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+    def BroadcastSignal(self, request, context):
+        """
+        Broadcasts a signal.
+        """
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+
+def add_GatewayServicer_to_server(servicer, server):
+    rpc_method_handlers = {
+            'ActivateJobs': grpc.unary_stream_rpc_method_handler(
+                    servicer.ActivateJobs,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ActivateJobsRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ActivateJobsResponse.SerializeToString,
+            ),
+            'StreamActivatedJobs': grpc.unary_stream_rpc_method_handler(
+                    servicer.StreamActivatedJobs,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.StreamActivatedJobsRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ActivatedJob.SerializeToString,
+            ),
+            'CancelProcessInstance': grpc.unary_unary_rpc_method_handler(
+                    servicer.CancelProcessInstance,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CancelProcessInstanceRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CancelProcessInstanceResponse.SerializeToString,
+            ),
+            'CompleteJob': grpc.unary_unary_rpc_method_handler(
+                    servicer.CompleteJob,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CompleteJobRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CompleteJobResponse.SerializeToString,
+            ),
+            'CreateProcessInstance': grpc.unary_unary_rpc_method_handler(
+                    servicer.CreateProcessInstance,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceResponse.SerializeToString,
+            ),
+            'CreateProcessInstanceWithResult': grpc.unary_unary_rpc_method_handler(
+                    servicer.CreateProcessInstanceWithResult,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceWithResultRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceWithResultResponse.SerializeToString,
+            ),
+            'EvaluateDecision': grpc.unary_unary_rpc_method_handler(
+                    servicer.EvaluateDecision,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.EvaluateDecisionRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.EvaluateDecisionResponse.SerializeToString,
+            ),
+            'DeployProcess': grpc.unary_unary_rpc_method_handler(
+                    servicer.DeployProcess,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployProcessRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployProcessResponse.SerializeToString,
+            ),
+            'DeployResource': grpc.unary_unary_rpc_method_handler(
+                    servicer.DeployResource,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployResourceRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.DeployResourceResponse.SerializeToString,
+            ),
+            'FailJob': grpc.unary_unary_rpc_method_handler(
+                    servicer.FailJob,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.FailJobRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.FailJobResponse.SerializeToString,
+            ),
+            'ThrowError': grpc.unary_unary_rpc_method_handler(
+                    servicer.ThrowError,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ThrowErrorRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ThrowErrorResponse.SerializeToString,
+            ),
+            'PublishMessage': grpc.unary_unary_rpc_method_handler(
+                    servicer.PublishMessage,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.PublishMessageRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.PublishMessageResponse.SerializeToString,
+            ),
+            'ResolveIncident': grpc.unary_unary_rpc_method_handler(
+                    servicer.ResolveIncident,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ResolveIncidentRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ResolveIncidentResponse.SerializeToString,
+            ),
+            'SetVariables': grpc.unary_unary_rpc_method_handler(
+                    servicer.SetVariables,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.SetVariablesRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.SetVariablesResponse.SerializeToString,
+            ),
+            'Topology': grpc.unary_unary_rpc_method_handler(
+                    servicer.Topology,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.TopologyRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.TopologyResponse.SerializeToString,
+            ),
+            'UpdateJobRetries': grpc.unary_unary_rpc_method_handler(
+                    servicer.UpdateJobRetries,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobRetriesRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobRetriesResponse.SerializeToString,
+            ),
+            'ModifyProcessInstance': grpc.unary_unary_rpc_method_handler(
+                    servicer.ModifyProcessInstance,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.ModifyProcessInstanceRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.ModifyProcessInstanceResponse.SerializeToString,
+            ),
+            'MigrateProcessInstance': grpc.unary_unary_rpc_method_handler(
+                    servicer.MigrateProcessInstance,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.MigrateProcessInstanceRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.MigrateProcessInstanceResponse.SerializeToString,
+            ),
+            'UpdateJobTimeout': grpc.unary_unary_rpc_method_handler(
+                    servicer.UpdateJobTimeout,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobTimeoutRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobTimeoutResponse.SerializeToString,
+            ),
+            'DeleteResource': grpc.unary_unary_rpc_method_handler(
+                    servicer.DeleteResource,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.DeleteResourceRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.DeleteResourceResponse.SerializeToString,
+            ),
+            'BroadcastSignal': grpc.unary_unary_rpc_method_handler(
+                    servicer.BroadcastSignal,
+                    request_deserializer=pyzeebe_dot_proto_dot_gateway__pb2.BroadcastSignalRequest.FromString,
+                    response_serializer=pyzeebe_dot_proto_dot_gateway__pb2.BroadcastSignalResponse.SerializeToString,
+            ),
+    }
+    generic_handler = grpc.method_handlers_generic_handler(
+            'gateway_protocol.Gateway', rpc_method_handlers)
+    server.add_generic_rpc_handlers((generic_handler,))
+    server.add_registered_method_handlers('gateway_protocol.Gateway', rpc_method_handlers)
+
+
+ # This class is part of an EXPERIMENTAL API.
+class Gateway(object):
+    """Missing associated documentation comment in .proto file."""
+
+    @staticmethod
+    def ActivateJobs(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_stream(
+            request,
+            target,
+            '/gateway_protocol.Gateway/ActivateJobs',
+            pyzeebe_dot_proto_dot_gateway__pb2.ActivateJobsRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.ActivateJobsResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def StreamActivatedJobs(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_stream(
+            request,
+            target,
+            '/gateway_protocol.Gateway/StreamActivatedJobs',
+            pyzeebe_dot_proto_dot_gateway__pb2.StreamActivatedJobsRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.ActivatedJob.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def CancelProcessInstance(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/CancelProcessInstance',
+            pyzeebe_dot_proto_dot_gateway__pb2.CancelProcessInstanceRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.CancelProcessInstanceResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def CompleteJob(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/CompleteJob',
+            pyzeebe_dot_proto_dot_gateway__pb2.CompleteJobRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.CompleteJobResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def CreateProcessInstance(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/CreateProcessInstance',
+            pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def CreateProcessInstanceWithResult(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/CreateProcessInstanceWithResult',
+            pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceWithResultRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.CreateProcessInstanceWithResultResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def EvaluateDecision(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/EvaluateDecision',
+            pyzeebe_dot_proto_dot_gateway__pb2.EvaluateDecisionRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.EvaluateDecisionResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def DeployProcess(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/DeployProcess',
+            pyzeebe_dot_proto_dot_gateway__pb2.DeployProcessRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.DeployProcessResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def DeployResource(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/DeployResource',
+            pyzeebe_dot_proto_dot_gateway__pb2.DeployResourceRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.DeployResourceResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def FailJob(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/FailJob',
+            pyzeebe_dot_proto_dot_gateway__pb2.FailJobRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.FailJobResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def ThrowError(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/ThrowError',
+            pyzeebe_dot_proto_dot_gateway__pb2.ThrowErrorRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.ThrowErrorResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def PublishMessage(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/PublishMessage',
+            pyzeebe_dot_proto_dot_gateway__pb2.PublishMessageRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.PublishMessageResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def ResolveIncident(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/ResolveIncident',
+            pyzeebe_dot_proto_dot_gateway__pb2.ResolveIncidentRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.ResolveIncidentResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def SetVariables(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/SetVariables',
+            pyzeebe_dot_proto_dot_gateway__pb2.SetVariablesRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.SetVariablesResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def Topology(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/Topology',
+            pyzeebe_dot_proto_dot_gateway__pb2.TopologyRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.TopologyResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def UpdateJobRetries(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/UpdateJobRetries',
+            pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobRetriesRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobRetriesResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def ModifyProcessInstance(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/ModifyProcessInstance',
+            pyzeebe_dot_proto_dot_gateway__pb2.ModifyProcessInstanceRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.ModifyProcessInstanceResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def MigrateProcessInstance(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/MigrateProcessInstance',
+            pyzeebe_dot_proto_dot_gateway__pb2.MigrateProcessInstanceRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.MigrateProcessInstanceResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def UpdateJobTimeout(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/UpdateJobTimeout',
+            pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobTimeoutRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.UpdateJobTimeoutResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def DeleteResource(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/DeleteResource',
+            pyzeebe_dot_proto_dot_gateway__pb2.DeleteResourceRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.DeleteResourceResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
+
+    @staticmethod
+    def BroadcastSignal(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/gateway_protocol.Gateway/BroadcastSignal',
+            pyzeebe_dot_proto_dot_gateway__pb2.BroadcastSignalRequest.SerializeToString,
+            pyzeebe_dot_proto_dot_gateway__pb2.BroadcastSignalResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)
diff --git a/pyzeebe/proto/gateway_pb2_grpc.pyi b/pyzeebe/proto/gateway_pb2_grpc.pyi
new file mode 100644
index 00000000..df1f1074
--- /dev/null
+++ b/pyzeebe/proto/gateway_pb2_grpc.pyi
@@ -0,0 +1,1131 @@
+"""
+@generated by mypy-protobuf.  Do not edit manually!
+isort:skip_file
+"""
+
+import abc
+import collections.abc
+import grpc
+import grpc.aio
+import pyzeebe.proto.gateway_pb2
+import typing
+
+_T = typing.TypeVar("_T")
+
+class _MaybeAsyncIterator(collections.abc.AsyncIterator[_T], collections.abc.Iterator[_T], metaclass=abc.ABCMeta): ...
+
+class _ServicerContext(grpc.ServicerContext, grpc.aio.ServicerContext):  # type: ignore[misc, type-arg]
+    ...
+
+class GatewayStub:
+    def __init__(self, channel: typing.Union[grpc.Channel, grpc.aio.Channel]) -> None: ...
+    ActivateJobs: grpc.UnaryStreamMultiCallable[
+        pyzeebe.proto.gateway_pb2.ActivateJobsRequest,
+        pyzeebe.proto.gateway_pb2.ActivateJobsResponse,
+    ]
+    """
+    Iterates through all known partitions round-robin and activates up to the requested
+    maximum and streams them back to the client as they are activated.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - type is blank (empty string, null)
+    - worker is blank (empty string, null)
+    - timeout less than 1
+    - maxJobsToActivate is less than 1
+    """
+
+    StreamActivatedJobs: grpc.UnaryStreamMultiCallable[
+        pyzeebe.proto.gateway_pb2.StreamActivatedJobsRequest,
+        pyzeebe.proto.gateway_pb2.ActivatedJob,
+    ]
+    """
+    Registers client to a job stream that will stream jobs back to the client as
+    they become activatable.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - type is blank (empty string, null)
+    - timeout less than 1
+    - If multi-tenancy is enabled, and tenantIds is empty (empty list)
+    - If multi-tenancy is enabled, and an invalid tenant ID is provided. A tenant ID is considered invalid if:
+    - The tenant ID is blank (empty string, null)
+    - The tenant ID is longer than 31 characters
+    - The tenant ID contains anything other than alphanumeric characters, dot (.), dash (-), or underscore (_)
+    - If multi-tenancy is disabled, and tenantIds is not empty (empty list), or has an ID other than <default>
+    """
+
+    CancelProcessInstance: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CancelProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.CancelProcessInstanceResponse,
+    ]
+    """
+    Cancels a running process instance
+
+    Errors:
+    NOT_FOUND:
+    - no process instance exists with the given key
+    """
+
+    CompleteJob: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CompleteJobRequest,
+        pyzeebe.proto.gateway_pb2.CompleteJobResponse,
+    ]
+    """
+    Completes a job with the given variables, which allows completing the associated service task.
+
+    Errors:
+    NOT_FOUND:
+    - no job exists with the given job key. Note that since jobs are removed once completed,
+    it could be that this job did exist at some point.
+
+    FAILED_PRECONDITION:
+    - the job was marked as failed. In that case, the related incident must be resolved before
+    the job can be activated again and completed.
+    """
+
+    CreateProcessInstance: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceResponse,
+    ]
+    """
+    Creates and starts an instance of the specified process. The process definition to use to
+    create the instance can be specified either using its unique key (as returned by
+    DeployProcess), or using the BPMN process ID and a version. Pass -1 as the version to use the
+    latest deployed version. Note that only processes with none start events can be started through
+    this command.
+
+    Errors:
+    NOT_FOUND:
+    - no process with the given key exists (if processDefinitionKey was given)
+    - no process with the given process ID exists (if bpmnProcessId was given but version was -1)
+    - no process with the given process ID and version exists (if both bpmnProcessId and version were given)
+
+    FAILED_PRECONDITION:
+    - the process definition does not contain a none start event; only processes with none
+    start event can be started manually.
+
+    INVALID_ARGUMENT:
+    - the given variables argument is not a valid JSON document; it is expected to be a valid
+    JSON document where the root node is an object.
+    """
+
+    CreateProcessInstanceWithResult: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceWithResultRequest,
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceWithResultResponse,
+    ]
+    """
+    Behaves similarly to `rpc CreateProcessInstance`, except that a successful response is received when the process completes successfully.
+    """
+
+    EvaluateDecision: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.EvaluateDecisionRequest,
+        pyzeebe.proto.gateway_pb2.EvaluateDecisionResponse,
+    ]
+    """
+    Evaluates a decision. The decision to evaluate can be specified either by
+    using its unique key (as returned by DeployResource), or using the decision
+    ID. When using the decision ID, the latest deployed version of the decision
+    is used.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - no decision with the given key exists (if decisionKey was given)
+    - no decision with the given decision ID exists (if decisionId was given)
+    - both decision ID and decision KEY were provided, or are missing
+    """
+
+    DeployProcess: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.DeployProcessRequest,
+        pyzeebe.proto.gateway_pb2.DeployProcessResponse,
+    ]
+    """
+    Deploys one or more processes to Zeebe. Note that this is an atomic call,
+    i.e. either all processes are deployed, or none of them are.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - no resources given.
+    - if at least one resource is invalid. A resource is considered invalid if:
+    - the resource data is not deserializable (e.g. detected as BPMN, but it's broken XML)
+    - the process is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+    """
+
+    DeployResource: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.DeployResourceRequest,
+        pyzeebe.proto.gateway_pb2.DeployResourceResponse,
+    ]
+    """
+    Deploys one or more resources (e.g. processes or decision models) to Zeebe.
+    Note that this is an atomic call, i.e. either all resources are deployed, or none of them are.
+
+    Errors:
+    PERMISSION_DENIED:
+    - if a deployment to an unauthorized tenant is performed
+    INVALID_ARGUMENT:
+    - no resources given.
+    - if at least one resource is invalid. A resource is considered invalid if:
+    - the content is not deserializable (e.g. detected as BPMN, but it's broken XML)
+    - the content is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+    - if multi-tenancy is enabled, and:
+    - a tenant id is not provided
+    - a tenant id with an invalid format is provided
+    - if multi-tenancy is disabled and a tenant id is provided
+    """
+
+    FailJob: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.FailJobRequest,
+        pyzeebe.proto.gateway_pb2.FailJobResponse,
+    ]
+    """
+    Marks the job as failed; if the retries argument is positive, then the job will be immediately
+    activatable again, and a worker could try again to process it. If it is zero or negative however,
+    an incident will be raised, tagged with the given errorMessage, and the job will not be
+    activatable until the incident is resolved.
+
+    Errors:
+    NOT_FOUND:
+    - no job was found with the given key
+
+    FAILED_PRECONDITION:
+    - the job was not activated
+    - the job is already in a failed state, i.e. ran out of retries
+    """
+
+    ThrowError: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.ThrowErrorRequest,
+        pyzeebe.proto.gateway_pb2.ThrowErrorResponse,
+    ]
+    """
+    Reports a business error (i.e. non-technical) that occurs while processing a job. The error is handled in the process by an error catch event. If there is no error catch event with the specified errorCode then an incident will be raised instead.
+
+    Errors:
+    NOT_FOUND:
+    - no job was found with the given key
+
+    FAILED_PRECONDITION:
+    - the job is not in an activated state
+    """
+
+    PublishMessage: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.PublishMessageRequest,
+        pyzeebe.proto.gateway_pb2.PublishMessageResponse,
+    ]
+    """
+    Publishes a single message. Messages are published to specific partitions computed from their
+    correlation keys.
+
+    Errors:
+    ALREADY_EXISTS:
+    - a message with the same ID was previously published (and is still alive)
+    """
+
+    ResolveIncident: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.ResolveIncidentRequest,
+        pyzeebe.proto.gateway_pb2.ResolveIncidentResponse,
+    ]
+    """
+    Resolves a given incident. This simply marks the incident as resolved; most likely a call to
+    UpdateJobRetries or SetVariables will be necessary to actually resolve the
+    problem, following by this call.
+
+    Errors:
+    NOT_FOUND:
+    - no incident with the given key exists
+    """
+
+    SetVariables: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.SetVariablesRequest,
+        pyzeebe.proto.gateway_pb2.SetVariablesResponse,
+    ]
+    """
+    Updates all the variables of a particular scope (e.g. process instance, flow element instance)
+    from the given JSON document.
+
+    Errors:
+    NOT_FOUND:
+    - no element with the given elementInstanceKey exists
+    INVALID_ARGUMENT:
+    - the given variables document is not a valid JSON document; valid documents are expected to
+    be JSON documents where the root node is an object.
+    """
+
+    Topology: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.TopologyRequest,
+        pyzeebe.proto.gateway_pb2.TopologyResponse,
+    ]
+    """
+    Obtains the current topology of the cluster the gateway is part of.
+    """
+
+    UpdateJobRetries: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.UpdateJobRetriesRequest,
+        pyzeebe.proto.gateway_pb2.UpdateJobRetriesResponse,
+    ]
+    """
+    Updates the number of retries a job has left. This is mostly useful for jobs that have run out of
+    retries, should the underlying problem be solved.
+
+    Errors:
+    NOT_FOUND:
+    - no job exists with the given key
+
+    INVALID_ARGUMENT:
+    - retries is not greater than 0
+    """
+
+    ModifyProcessInstance: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.ModifyProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.ModifyProcessInstanceResponse,
+    ]
+    """
+    Modifies the process instance. This is done by activating and/or terminating specific elements of the instance.
+
+    Errors:
+    NOT_FOUND:
+    - no process instance exists with the given key
+
+    FAILED_PRECONDITION:
+    - trying to activate element inside of a multi-instance
+
+    INVALID_ARGUMENT:
+    - activating or terminating unknown element
+    - ancestor of element for activation doesn't exist
+    - scope of variable is unknown
+    """
+
+    MigrateProcessInstance: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.MigrateProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.MigrateProcessInstanceResponse,
+    ]
+    """
+    Migrates the process instance to the specified process definition.
+    In simple terms, this is handled by updating the active element's process.
+
+    Errors:
+    NOT_FOUND:
+    - no process instance exists with the given key, or it is not active
+    - no process definition exists with the given target definition key
+    - no process instance exists with the given key for the tenants the user is authorized to work with.
+
+    FAILED_PRECONDITION:
+    - not all active elements in the given process instance are mapped to the elements in the target process definition
+    - a mapping instruction changes the type of an element or event
+    - a mapping instruction changes the implementation of a task
+    - a mapping instruction detaches a boundary event from an active element
+    - a mapping instruction refers to an unsupported element (i.e. some elements will be supported later on)
+    - a mapping instruction refers to element in unsupported scenarios.
+    (i.e. migration is not supported when process instance or target process elements contains event subscriptions)
+    - multiple mapping instructions target the same boundary event
+
+    INVALID_ARGUMENT:
+    - A `sourceElementId` does not refer to an element in the process instance's process definition
+    - A `targetElementId` does not refer to an element in the target process definition
+    - A `sourceElementId` is mapped by multiple mapping instructions.
+    For example, the engine cannot determine how to migrate a process instance when the instructions are: [A->B, A->C].
+    """
+
+    UpdateJobTimeout: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.UpdateJobTimeoutRequest,
+        pyzeebe.proto.gateway_pb2.UpdateJobTimeoutResponse,
+    ]
+    """
+    Updates the deadline of a job using the timeout (in ms) provided. This can be used
+    for extending or shortening the job deadline.
+
+    Errors:
+    NOT_FOUND:
+    - no job exists with the given key
+
+    INVALID_STATE:
+    - no deadline exists for the given job key
+    """
+
+    DeleteResource: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.DeleteResourceRequest,
+        pyzeebe.proto.gateway_pb2.DeleteResourceResponse,
+    ]
+    """
+    Deletes a resource from the state. Once a resource has been deleted it cannot
+    be recovered. If the resource needs to be available again, a new deployment
+    of the resource is required.
+
+    Deleting a process will cancel any running instances of this process
+    definition. New instances of a deleted process are created using
+    the lastest version that hasn't been deleted. Creating a new
+    process instance is impossible when all versions have been
+    deleted.
+
+    Deleting a decision requirement definitions could cause incidents in process
+    instances referencing these decisions in a business rule task. A decision
+    will be evaluated with the latest version that hasn't been deleted. If all
+    versions of a decision have been deleted the evaluation is rejected.
+
+    Errors:
+    NOT_FOUND:
+    - No resource exists with the given key
+    """
+
+    BroadcastSignal: grpc.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.BroadcastSignalRequest,
+        pyzeebe.proto.gateway_pb2.BroadcastSignalResponse,
+    ]
+    """
+    Broadcasts a signal.
+    """
+
+class GatewayAsyncStub:
+    ActivateJobs: grpc.aio.UnaryStreamMultiCallable[
+        pyzeebe.proto.gateway_pb2.ActivateJobsRequest,
+        pyzeebe.proto.gateway_pb2.ActivateJobsResponse,
+    ]
+    """
+    Iterates through all known partitions round-robin and activates up to the requested
+    maximum and streams them back to the client as they are activated.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - type is blank (empty string, null)
+    - worker is blank (empty string, null)
+    - timeout less than 1
+    - maxJobsToActivate is less than 1
+    """
+
+    StreamActivatedJobs: grpc.aio.UnaryStreamMultiCallable[
+        pyzeebe.proto.gateway_pb2.StreamActivatedJobsRequest,
+        pyzeebe.proto.gateway_pb2.ActivatedJob,
+    ]
+    """
+    Registers client to a job stream that will stream jobs back to the client as
+    they become activatable.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - type is blank (empty string, null)
+    - timeout less than 1
+    - If multi-tenancy is enabled, and tenantIds is empty (empty list)
+    - If multi-tenancy is enabled, and an invalid tenant ID is provided. A tenant ID is considered invalid if:
+    - The tenant ID is blank (empty string, null)
+    - The tenant ID is longer than 31 characters
+    - The tenant ID contains anything other than alphanumeric characters, dot (.), dash (-), or underscore (_)
+    - If multi-tenancy is disabled, and tenantIds is not empty (empty list), or has an ID other than <default>
+    """
+
+    CancelProcessInstance: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CancelProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.CancelProcessInstanceResponse,
+    ]
+    """
+    Cancels a running process instance
+
+    Errors:
+    NOT_FOUND:
+    - no process instance exists with the given key
+    """
+
+    CompleteJob: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CompleteJobRequest,
+        pyzeebe.proto.gateway_pb2.CompleteJobResponse,
+    ]
+    """
+    Completes a job with the given variables, which allows completing the associated service task.
+
+    Errors:
+    NOT_FOUND:
+    - no job exists with the given job key. Note that since jobs are removed once completed,
+    it could be that this job did exist at some point.
+
+    FAILED_PRECONDITION:
+    - the job was marked as failed. In that case, the related incident must be resolved before
+    the job can be activated again and completed.
+    """
+
+    CreateProcessInstance: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceResponse,
+    ]
+    """
+    Creates and starts an instance of the specified process. The process definition to use to
+    create the instance can be specified either using its unique key (as returned by
+    DeployProcess), or using the BPMN process ID and a version. Pass -1 as the version to use the
+    latest deployed version. Note that only processes with none start events can be started through
+    this command.
+
+    Errors:
+    NOT_FOUND:
+    - no process with the given key exists (if processDefinitionKey was given)
+    - no process with the given process ID exists (if bpmnProcessId was given but version was -1)
+    - no process with the given process ID and version exists (if both bpmnProcessId and version were given)
+
+    FAILED_PRECONDITION:
+    - the process definition does not contain a none start event; only processes with none
+    start event can be started manually.
+
+    INVALID_ARGUMENT:
+    - the given variables argument is not a valid JSON document; it is expected to be a valid
+    JSON document where the root node is an object.
+    """
+
+    CreateProcessInstanceWithResult: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceWithResultRequest,
+        pyzeebe.proto.gateway_pb2.CreateProcessInstanceWithResultResponse,
+    ]
+    """
+    Behaves similarly to `rpc CreateProcessInstance`, except that a successful response is received when the process completes successfully.
+    """
+
+    EvaluateDecision: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.EvaluateDecisionRequest,
+        pyzeebe.proto.gateway_pb2.EvaluateDecisionResponse,
+    ]
+    """
+    Evaluates a decision. The decision to evaluate can be specified either by
+    using its unique key (as returned by DeployResource), or using the decision
+    ID. When using the decision ID, the latest deployed version of the decision
+    is used.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - no decision with the given key exists (if decisionKey was given)
+    - no decision with the given decision ID exists (if decisionId was given)
+    - both decision ID and decision KEY were provided, or are missing
+    """
+
+    DeployProcess: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.DeployProcessRequest,
+        pyzeebe.proto.gateway_pb2.DeployProcessResponse,
+    ]
+    """
+    Deploys one or more processes to Zeebe. Note that this is an atomic call,
+    i.e. either all processes are deployed, or none of them are.
+
+    Errors:
+    INVALID_ARGUMENT:
+    - no resources given.
+    - if at least one resource is invalid. A resource is considered invalid if:
+    - the resource data is not deserializable (e.g. detected as BPMN, but it's broken XML)
+    - the process is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+    """
+
+    DeployResource: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.DeployResourceRequest,
+        pyzeebe.proto.gateway_pb2.DeployResourceResponse,
+    ]
+    """
+    Deploys one or more resources (e.g. processes or decision models) to Zeebe.
+    Note that this is an atomic call, i.e. either all resources are deployed, or none of them are.
+
+    Errors:
+    PERMISSION_DENIED:
+    - if a deployment to an unauthorized tenant is performed
+    INVALID_ARGUMENT:
+    - no resources given.
+    - if at least one resource is invalid. A resource is considered invalid if:
+    - the content is not deserializable (e.g. detected as BPMN, but it's broken XML)
+    - the content is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+    - if multi-tenancy is enabled, and:
+    - a tenant id is not provided
+    - a tenant id with an invalid format is provided
+    - if multi-tenancy is disabled and a tenant id is provided
+    """
+
+    FailJob: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.FailJobRequest,
+        pyzeebe.proto.gateway_pb2.FailJobResponse,
+    ]
+    """
+    Marks the job as failed; if the retries argument is positive, then the job will be immediately
+    activatable again, and a worker could try again to process it. If it is zero or negative however,
+    an incident will be raised, tagged with the given errorMessage, and the job will not be
+    activatable until the incident is resolved.
+
+    Errors:
+    NOT_FOUND:
+    - no job was found with the given key
+
+    FAILED_PRECONDITION:
+    - the job was not activated
+    - the job is already in a failed state, i.e. ran out of retries
+    """
+
+    ThrowError: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.ThrowErrorRequest,
+        pyzeebe.proto.gateway_pb2.ThrowErrorResponse,
+    ]
+    """
+    Reports a business error (i.e. non-technical) that occurs while processing a job. The error is handled in the process by an error catch event. If there is no error catch event with the specified errorCode then an incident will be raised instead.
+
+    Errors:
+    NOT_FOUND:
+    - no job was found with the given key
+
+    FAILED_PRECONDITION:
+    - the job is not in an activated state
+    """
+
+    PublishMessage: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.PublishMessageRequest,
+        pyzeebe.proto.gateway_pb2.PublishMessageResponse,
+    ]
+    """
+    Publishes a single message. Messages are published to specific partitions computed from their
+    correlation keys.
+
+    Errors:
+    ALREADY_EXISTS:
+    - a message with the same ID was previously published (and is still alive)
+    """
+
+    ResolveIncident: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.ResolveIncidentRequest,
+        pyzeebe.proto.gateway_pb2.ResolveIncidentResponse,
+    ]
+    """
+    Resolves a given incident. This simply marks the incident as resolved; most likely a call to
+    UpdateJobRetries or SetVariables will be necessary to actually resolve the
+    problem, following by this call.
+
+    Errors:
+    NOT_FOUND:
+    - no incident with the given key exists
+    """
+
+    SetVariables: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.SetVariablesRequest,
+        pyzeebe.proto.gateway_pb2.SetVariablesResponse,
+    ]
+    """
+    Updates all the variables of a particular scope (e.g. process instance, flow element instance)
+    from the given JSON document.
+
+    Errors:
+    NOT_FOUND:
+    - no element with the given elementInstanceKey exists
+    INVALID_ARGUMENT:
+    - the given variables document is not a valid JSON document; valid documents are expected to
+    be JSON documents where the root node is an object.
+    """
+
+    Topology: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.TopologyRequest,
+        pyzeebe.proto.gateway_pb2.TopologyResponse,
+    ]
+    """
+    Obtains the current topology of the cluster the gateway is part of.
+    """
+
+    UpdateJobRetries: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.UpdateJobRetriesRequest,
+        pyzeebe.proto.gateway_pb2.UpdateJobRetriesResponse,
+    ]
+    """
+    Updates the number of retries a job has left. This is mostly useful for jobs that have run out of
+    retries, should the underlying problem be solved.
+
+    Errors:
+    NOT_FOUND:
+    - no job exists with the given key
+
+    INVALID_ARGUMENT:
+    - retries is not greater than 0
+    """
+
+    ModifyProcessInstance: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.ModifyProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.ModifyProcessInstanceResponse,
+    ]
+    """
+    Modifies the process instance. This is done by activating and/or terminating specific elements of the instance.
+
+    Errors:
+    NOT_FOUND:
+    - no process instance exists with the given key
+
+    FAILED_PRECONDITION:
+    - trying to activate element inside of a multi-instance
+
+    INVALID_ARGUMENT:
+    - activating or terminating unknown element
+    - ancestor of element for activation doesn't exist
+    - scope of variable is unknown
+    """
+
+    MigrateProcessInstance: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.MigrateProcessInstanceRequest,
+        pyzeebe.proto.gateway_pb2.MigrateProcessInstanceResponse,
+    ]
+    """
+    Migrates the process instance to the specified process definition.
+    In simple terms, this is handled by updating the active element's process.
+
+    Errors:
+    NOT_FOUND:
+    - no process instance exists with the given key, or it is not active
+    - no process definition exists with the given target definition key
+    - no process instance exists with the given key for the tenants the user is authorized to work with.
+
+    FAILED_PRECONDITION:
+    - not all active elements in the given process instance are mapped to the elements in the target process definition
+    - a mapping instruction changes the type of an element or event
+    - a mapping instruction changes the implementation of a task
+    - a mapping instruction detaches a boundary event from an active element
+    - a mapping instruction refers to an unsupported element (i.e. some elements will be supported later on)
+    - a mapping instruction refers to element in unsupported scenarios.
+    (i.e. migration is not supported when process instance or target process elements contains event subscriptions)
+    - multiple mapping instructions target the same boundary event
+
+    INVALID_ARGUMENT:
+    - A `sourceElementId` does not refer to an element in the process instance's process definition
+    - A `targetElementId` does not refer to an element in the target process definition
+    - A `sourceElementId` is mapped by multiple mapping instructions.
+    For example, the engine cannot determine how to migrate a process instance when the instructions are: [A->B, A->C].
+    """
+
+    UpdateJobTimeout: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.UpdateJobTimeoutRequest,
+        pyzeebe.proto.gateway_pb2.UpdateJobTimeoutResponse,
+    ]
+    """
+    Updates the deadline of a job using the timeout (in ms) provided. This can be used
+    for extending or shortening the job deadline.
+
+    Errors:
+    NOT_FOUND:
+    - no job exists with the given key
+
+    INVALID_STATE:
+    - no deadline exists for the given job key
+    """
+
+    DeleteResource: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.DeleteResourceRequest,
+        pyzeebe.proto.gateway_pb2.DeleteResourceResponse,
+    ]
+    """
+    Deletes a resource from the state. Once a resource has been deleted it cannot
+    be recovered. If the resource needs to be available again, a new deployment
+    of the resource is required.
+
+    Deleting a process will cancel any running instances of this process
+    definition. New instances of a deleted process are created using
+    the lastest version that hasn't been deleted. Creating a new
+    process instance is impossible when all versions have been
+    deleted.
+
+    Deleting a decision requirement definitions could cause incidents in process
+    instances referencing these decisions in a business rule task. A decision
+    will be evaluated with the latest version that hasn't been deleted. If all
+    versions of a decision have been deleted the evaluation is rejected.
+
+    Errors:
+    NOT_FOUND:
+    - No resource exists with the given key
+    """
+
+    BroadcastSignal: grpc.aio.UnaryUnaryMultiCallable[
+        pyzeebe.proto.gateway_pb2.BroadcastSignalRequest,
+        pyzeebe.proto.gateway_pb2.BroadcastSignalResponse,
+    ]
+    """
+    Broadcasts a signal.
+    """
+
+class GatewayServicer(metaclass=abc.ABCMeta):
+    @abc.abstractmethod
+    def ActivateJobs(
+        self,
+        request: pyzeebe.proto.gateway_pb2.ActivateJobsRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[collections.abc.Iterator[pyzeebe.proto.gateway_pb2.ActivateJobsResponse], collections.abc.AsyncIterator[pyzeebe.proto.gateway_pb2.ActivateJobsResponse]]:
+        """
+        Iterates through all known partitions round-robin and activates up to the requested
+        maximum and streams them back to the client as they are activated.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - type is blank (empty string, null)
+        - worker is blank (empty string, null)
+        - timeout less than 1
+        - maxJobsToActivate is less than 1
+        """
+
+    @abc.abstractmethod
+    def StreamActivatedJobs(
+        self,
+        request: pyzeebe.proto.gateway_pb2.StreamActivatedJobsRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[collections.abc.Iterator[pyzeebe.proto.gateway_pb2.ActivatedJob], collections.abc.AsyncIterator[pyzeebe.proto.gateway_pb2.ActivatedJob]]:
+        """
+        Registers client to a job stream that will stream jobs back to the client as
+        they become activatable.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - type is blank (empty string, null)
+        - timeout less than 1
+        - If multi-tenancy is enabled, and tenantIds is empty (empty list)
+        - If multi-tenancy is enabled, and an invalid tenant ID is provided. A tenant ID is considered invalid if:
+        - The tenant ID is blank (empty string, null)
+        - The tenant ID is longer than 31 characters
+        - The tenant ID contains anything other than alphanumeric characters, dot (.), dash (-), or underscore (_)
+        - If multi-tenancy is disabled, and tenantIds is not empty (empty list), or has an ID other than <default>
+        """
+
+    @abc.abstractmethod
+    def CancelProcessInstance(
+        self,
+        request: pyzeebe.proto.gateway_pb2.CancelProcessInstanceRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.CancelProcessInstanceResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.CancelProcessInstanceResponse]]:
+        """
+        Cancels a running process instance
+
+        Errors:
+        NOT_FOUND:
+        - no process instance exists with the given key
+        """
+
+    @abc.abstractmethod
+    def CompleteJob(
+        self,
+        request: pyzeebe.proto.gateway_pb2.CompleteJobRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.CompleteJobResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.CompleteJobResponse]]:
+        """
+        Completes a job with the given variables, which allows completing the associated service task.
+
+        Errors:
+        NOT_FOUND:
+        - no job exists with the given job key. Note that since jobs are removed once completed,
+        it could be that this job did exist at some point.
+
+        FAILED_PRECONDITION:
+        - the job was marked as failed. In that case, the related incident must be resolved before
+        the job can be activated again and completed.
+        """
+
+    @abc.abstractmethod
+    def CreateProcessInstance(
+        self,
+        request: pyzeebe.proto.gateway_pb2.CreateProcessInstanceRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.CreateProcessInstanceResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.CreateProcessInstanceResponse]]:
+        """
+        Creates and starts an instance of the specified process. The process definition to use to
+        create the instance can be specified either using its unique key (as returned by
+        DeployProcess), or using the BPMN process ID and a version. Pass -1 as the version to use the
+        latest deployed version. Note that only processes with none start events can be started through
+        this command.
+
+        Errors:
+        NOT_FOUND:
+        - no process with the given key exists (if processDefinitionKey was given)
+        - no process with the given process ID exists (if bpmnProcessId was given but version was -1)
+        - no process with the given process ID and version exists (if both bpmnProcessId and version were given)
+
+        FAILED_PRECONDITION:
+        - the process definition does not contain a none start event; only processes with none
+        start event can be started manually.
+
+        INVALID_ARGUMENT:
+        - the given variables argument is not a valid JSON document; it is expected to be a valid
+        JSON document where the root node is an object.
+        """
+
+    @abc.abstractmethod
+    def CreateProcessInstanceWithResult(
+        self,
+        request: pyzeebe.proto.gateway_pb2.CreateProcessInstanceWithResultRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.CreateProcessInstanceWithResultResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.CreateProcessInstanceWithResultResponse]]:
+        """
+        Behaves similarly to `rpc CreateProcessInstance`, except that a successful response is received when the process completes successfully.
+        """
+
+    @abc.abstractmethod
+    def EvaluateDecision(
+        self,
+        request: pyzeebe.proto.gateway_pb2.EvaluateDecisionRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.EvaluateDecisionResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.EvaluateDecisionResponse]]:
+        """
+        Evaluates a decision. The decision to evaluate can be specified either by
+        using its unique key (as returned by DeployResource), or using the decision
+        ID. When using the decision ID, the latest deployed version of the decision
+        is used.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - no decision with the given key exists (if decisionKey was given)
+        - no decision with the given decision ID exists (if decisionId was given)
+        - both decision ID and decision KEY were provided, or are missing
+        """
+
+    @abc.abstractmethod
+    def DeployProcess(
+        self,
+        request: pyzeebe.proto.gateway_pb2.DeployProcessRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.DeployProcessResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.DeployProcessResponse]]:
+        """
+        Deploys one or more processes to Zeebe. Note that this is an atomic call,
+        i.e. either all processes are deployed, or none of them are.
+
+        Errors:
+        INVALID_ARGUMENT:
+        - no resources given.
+        - if at least one resource is invalid. A resource is considered invalid if:
+        - the resource data is not deserializable (e.g. detected as BPMN, but it's broken XML)
+        - the process is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+        """
+
+    @abc.abstractmethod
+    def DeployResource(
+        self,
+        request: pyzeebe.proto.gateway_pb2.DeployResourceRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.DeployResourceResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.DeployResourceResponse]]:
+        """
+        Deploys one or more resources (e.g. processes or decision models) to Zeebe.
+        Note that this is an atomic call, i.e. either all resources are deployed, or none of them are.
+
+        Errors:
+        PERMISSION_DENIED:
+        - if a deployment to an unauthorized tenant is performed
+        INVALID_ARGUMENT:
+        - no resources given.
+        - if at least one resource is invalid. A resource is considered invalid if:
+        - the content is not deserializable (e.g. detected as BPMN, but it's broken XML)
+        - the content is invalid (e.g. an event-based gateway has an outgoing sequence flow to a task)
+        - if multi-tenancy is enabled, and:
+        - a tenant id is not provided
+        - a tenant id with an invalid format is provided
+        - if multi-tenancy is disabled and a tenant id is provided
+        """
+
+    @abc.abstractmethod
+    def FailJob(
+        self,
+        request: pyzeebe.proto.gateway_pb2.FailJobRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.FailJobResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.FailJobResponse]]:
+        """
+        Marks the job as failed; if the retries argument is positive, then the job will be immediately
+        activatable again, and a worker could try again to process it. If it is zero or negative however,
+        an incident will be raised, tagged with the given errorMessage, and the job will not be
+        activatable until the incident is resolved.
+
+        Errors:
+        NOT_FOUND:
+        - no job was found with the given key
+
+        FAILED_PRECONDITION:
+        - the job was not activated
+        - the job is already in a failed state, i.e. ran out of retries
+        """
+
+    @abc.abstractmethod
+    def ThrowError(
+        self,
+        request: pyzeebe.proto.gateway_pb2.ThrowErrorRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.ThrowErrorResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.ThrowErrorResponse]]:
+        """
+        Reports a business error (i.e. non-technical) that occurs while processing a job. The error is handled in the process by an error catch event. If there is no error catch event with the specified errorCode then an incident will be raised instead.
+
+        Errors:
+        NOT_FOUND:
+        - no job was found with the given key
+
+        FAILED_PRECONDITION:
+        - the job is not in an activated state
+        """
+
+    @abc.abstractmethod
+    def PublishMessage(
+        self,
+        request: pyzeebe.proto.gateway_pb2.PublishMessageRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.PublishMessageResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.PublishMessageResponse]]:
+        """
+        Publishes a single message. Messages are published to specific partitions computed from their
+        correlation keys.
+
+        Errors:
+        ALREADY_EXISTS:
+        - a message with the same ID was previously published (and is still alive)
+        """
+
+    @abc.abstractmethod
+    def ResolveIncident(
+        self,
+        request: pyzeebe.proto.gateway_pb2.ResolveIncidentRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.ResolveIncidentResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.ResolveIncidentResponse]]:
+        """
+        Resolves a given incident. This simply marks the incident as resolved; most likely a call to
+        UpdateJobRetries or SetVariables will be necessary to actually resolve the
+        problem, following by this call.
+
+        Errors:
+        NOT_FOUND:
+        - no incident with the given key exists
+        """
+
+    @abc.abstractmethod
+    def SetVariables(
+        self,
+        request: pyzeebe.proto.gateway_pb2.SetVariablesRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.SetVariablesResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.SetVariablesResponse]]:
+        """
+        Updates all the variables of a particular scope (e.g. process instance, flow element instance)
+        from the given JSON document.
+
+        Errors:
+        NOT_FOUND:
+        - no element with the given elementInstanceKey exists
+        INVALID_ARGUMENT:
+        - the given variables document is not a valid JSON document; valid documents are expected to
+        be JSON documents where the root node is an object.
+        """
+
+    @abc.abstractmethod
+    def Topology(
+        self,
+        request: pyzeebe.proto.gateway_pb2.TopologyRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.TopologyResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.TopologyResponse]]:
+        """
+        Obtains the current topology of the cluster the gateway is part of.
+        """
+
+    @abc.abstractmethod
+    def UpdateJobRetries(
+        self,
+        request: pyzeebe.proto.gateway_pb2.UpdateJobRetriesRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.UpdateJobRetriesResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.UpdateJobRetriesResponse]]:
+        """
+        Updates the number of retries a job has left. This is mostly useful for jobs that have run out of
+        retries, should the underlying problem be solved.
+
+        Errors:
+        NOT_FOUND:
+        - no job exists with the given key
+
+        INVALID_ARGUMENT:
+        - retries is not greater than 0
+        """
+
+    @abc.abstractmethod
+    def ModifyProcessInstance(
+        self,
+        request: pyzeebe.proto.gateway_pb2.ModifyProcessInstanceRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.ModifyProcessInstanceResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.ModifyProcessInstanceResponse]]:
+        """
+        Modifies the process instance. This is done by activating and/or terminating specific elements of the instance.
+
+        Errors:
+        NOT_FOUND:
+        - no process instance exists with the given key
+
+        FAILED_PRECONDITION:
+        - trying to activate element inside of a multi-instance
+
+        INVALID_ARGUMENT:
+        - activating or terminating unknown element
+        - ancestor of element for activation doesn't exist
+        - scope of variable is unknown
+        """
+
+    @abc.abstractmethod
+    def MigrateProcessInstance(
+        self,
+        request: pyzeebe.proto.gateway_pb2.MigrateProcessInstanceRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.MigrateProcessInstanceResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.MigrateProcessInstanceResponse]]:
+        """
+        Migrates the process instance to the specified process definition.
+        In simple terms, this is handled by updating the active element's process.
+
+        Errors:
+        NOT_FOUND:
+        - no process instance exists with the given key, or it is not active
+        - no process definition exists with the given target definition key
+        - no process instance exists with the given key for the tenants the user is authorized to work with.
+
+        FAILED_PRECONDITION:
+        - not all active elements in the given process instance are mapped to the elements in the target process definition
+        - a mapping instruction changes the type of an element or event
+        - a mapping instruction changes the implementation of a task
+        - a mapping instruction detaches a boundary event from an active element
+        - a mapping instruction refers to an unsupported element (i.e. some elements will be supported later on)
+        - a mapping instruction refers to element in unsupported scenarios.
+        (i.e. migration is not supported when process instance or target process elements contains event subscriptions)
+        - multiple mapping instructions target the same boundary event
+
+        INVALID_ARGUMENT:
+        - A `sourceElementId` does not refer to an element in the process instance's process definition
+        - A `targetElementId` does not refer to an element in the target process definition
+        - A `sourceElementId` is mapped by multiple mapping instructions.
+        For example, the engine cannot determine how to migrate a process instance when the instructions are: [A->B, A->C].
+        """
+
+    @abc.abstractmethod
+    def UpdateJobTimeout(
+        self,
+        request: pyzeebe.proto.gateway_pb2.UpdateJobTimeoutRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.UpdateJobTimeoutResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.UpdateJobTimeoutResponse]]:
+        """
+        Updates the deadline of a job using the timeout (in ms) provided. This can be used
+        for extending or shortening the job deadline.
+
+        Errors:
+        NOT_FOUND:
+        - no job exists with the given key
+
+        INVALID_STATE:
+        - no deadline exists for the given job key
+        """
+
+    @abc.abstractmethod
+    def DeleteResource(
+        self,
+        request: pyzeebe.proto.gateway_pb2.DeleteResourceRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.DeleteResourceResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.DeleteResourceResponse]]:
+        """
+        Deletes a resource from the state. Once a resource has been deleted it cannot
+        be recovered. If the resource needs to be available again, a new deployment
+        of the resource is required.
+
+        Deleting a process will cancel any running instances of this process
+        definition. New instances of a deleted process are created using
+        the lastest version that hasn't been deleted. Creating a new
+        process instance is impossible when all versions have been
+        deleted.
+
+        Deleting a decision requirement definitions could cause incidents in process
+        instances referencing these decisions in a business rule task. A decision
+        will be evaluated with the latest version that hasn't been deleted. If all
+        versions of a decision have been deleted the evaluation is rejected.
+
+        Errors:
+        NOT_FOUND:
+        - No resource exists with the given key
+        """
+
+    @abc.abstractmethod
+    def BroadcastSignal(
+        self,
+        request: pyzeebe.proto.gateway_pb2.BroadcastSignalRequest,
+        context: _ServicerContext,
+    ) -> typing.Union[pyzeebe.proto.gateway_pb2.BroadcastSignalResponse, collections.abc.Awaitable[pyzeebe.proto.gateway_pb2.BroadcastSignalResponse]]:
+        """
+        Broadcasts a signal.
+        """
+
+def add_GatewayServicer_to_server(servicer: GatewayServicer, server: typing.Union[grpc.Server, grpc.aio.Server]) -> None: ...
diff --git a/tests/unit/conftest.py b/tests/unit/conftest.py
index 619161d1..b08c04c7 100644
--- a/tests/unit/conftest.py
+++ b/tests/unit/conftest.py
@@ -131,7 +131,7 @@ async def simple_exception_handler(e: Exception, job: Job, job_controller: JobCo
 
 @pytest.fixture(scope="module")
 def grpc_add_to_server():
-    from zeebe_grpc.gateway_pb2_grpc import add_GatewayServicer_to_server
+    from pyzeebe.proto.gateway_pb2_grpc import add_GatewayServicer_to_server
 
     return add_GatewayServicer_to_server
 
@@ -143,7 +143,7 @@ def grpc_servicer():
 
 @pytest.fixture(scope="module")
 def grpc_stub_cls(grpc_channel):
-    from zeebe_grpc.gateway_pb2_grpc import GatewayStub
+    from pyzeebe.proto.gateway_pb2_grpc import GatewayStub
 
     return GatewayStub
 
diff --git a/tests/unit/utils/gateway_mock.py b/tests/unit/utils/gateway_mock.py
index 8f217917..ed76d092 100644
--- a/tests/unit/utils/gateway_mock.py
+++ b/tests/unit/utils/gateway_mock.py
@@ -4,7 +4,10 @@
 from uuid import uuid4
 
 import grpc
-from zeebe_grpc.gateway_pb2 import (
+
+from pyzeebe.job.job import Job
+from pyzeebe.job.job_status import JobStatus
+from pyzeebe.proto.gateway_pb2 import (
     ActivatedJob,
     ActivateJobsResponse,
     CancelProcessInstanceResponse,
@@ -19,10 +22,7 @@
     ProcessMetadata,
     PublishMessageResponse,
 )
-from zeebe_grpc.gateway_pb2_grpc import GatewayServicer
-
-from pyzeebe.job.job import Job
-from pyzeebe.job.job_status import JobStatus
+from pyzeebe.proto.gateway_pb2_grpc import GatewayServicer
 from pyzeebe.task.task import Task
 from tests.unit.utils.random_utils import RANDOM_RANGE, random_job
 
diff --git a/update_proto.py b/update_proto.py
new file mode 100644
index 00000000..28cd3014
--- /dev/null
+++ b/update_proto.py
@@ -0,0 +1,65 @@
+import argparse
+import os
+import pathlib
+
+import requests
+from grpc_tools.protoc import main as grpc_tools_protoc_main
+
+DEFAULT_PROTO_VERSION: str = "8.6.6"
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Download Zeebe proto file and generate protoctol buffers.")
+    parser.add_argument(
+        "-pv",
+        "--proto-version",
+        default=[DEFAULT_PROTO_VERSION],
+        nargs=1,
+        type=str,
+        help=f"zeebe proto version, default is {DEFAULT_PROTO_VERSION}",
+        required=False,
+        # NOTE: The default value is set to the latest version of Zeebe proto file.
+    )
+    args = parser.parse_args()
+
+    print(f"Zeebe Proto version: {args.proto_version[0]}")
+    proto_version = args.proto_version[0]
+    generate_proto(proto_version)
+
+
+def generate_proto(zeebe_proto_version: str):
+    proto_dir = pathlib.Path("pyzeebe/proto")
+    proto_file = proto_dir / "gateway.proto"
+    for path in proto_dir.glob("*pb2*"):
+        os.remove(path)
+
+    proto_url = f"https://raw.githubusercontent.com/camunda/camunda/refs/tags/{zeebe_proto_version}/zeebe/gateway-protocol/src/main/proto/gateway.proto"
+
+    try:
+        print(f"Downloading proto file from {proto_url}")
+        proto_content = requests.get(proto_url, timeout=5)
+        proto_content.raise_for_status()
+
+        with proto_file.open("wb") as tmpfile:
+            tmpfile.write(proto_content.content)
+
+            grpc_tools_protoc_main(
+                [
+                    "--proto_path=.",
+                    "--python_out=.",
+                    "--mypy_out=.",
+                    "--grpc_python_out=.",
+                    "--mypy_grpc_out=.",
+                    os.path.relpath(tmpfile.name),
+                ]
+            )
+        proto_file.unlink()
+
+    except requests.exceptions.HTTPError as err:
+        print(f"HTTP Error occurred: {err}")
+    except requests.exceptions.RequestException as err:
+        print(f"Error occurred: {err}")
+
+
+if __name__ == "__main__":
+    main()