Update version to 0.9.0

cortexlabs · Oct 15, 2019 · 49f75d6 · 49f75d6
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diff --git a/README.md b/README.md
@@ -2,10 +2,6 @@
 
 Cortex is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command. <br>
 
-<!-- Delete on release branches -->
-<!-- CORTEX_VERSION_README_MINOR x1 -->
-[install](https://www.cortex.dev/install) • [docs](https://www.cortex.dev) • [examples](https://github.com/cortexlabs/cortex/tree/0.8/examples) • [we're hiring](https://angel.co/cortex-labs-inc/jobs) • [email us](mailto:hello@cortex.dev) • [chat with us](https://gitter.im/cortexlabs/cortex)<br><br>
-
 <!-- Set header Cache-Control=no-cache on the S3 object metadata (see https://help.github.com/en/articles/about-anonymized-image-urls) -->
 ![Demo](https://cortex-public.s3-us-west-2.amazonaws.com/demo/gif/v0.8.gif)<br>
 
@@ -20,7 +16,7 @@ Below, we'll walk through how to use Cortex to deploy OpenAI's GPT-2 model as a
 ### Step 1: Configure your deployment
 
 <!-- CORTEX_VERSION_README_MINOR -->
-Define a `deployment` and an `api` resource. A `deployment` specifies a set of APIs that are deployed together. An `api` makes a model available as a web service that can serve real-time predictions. The configuration below will download the model from the `cortex-examples` S3 bucket. You can run the code that generated the model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.8/examples/text-generator/gpt-2.ipynb).
+Define a `deployment` and an `api` resource. A `deployment` specifies a set of APIs that are deployed together. An `api` makes a model available as a web service that can serve real-time predictions. The configuration below will download the model from the `cortex-examples` S3 bucket. You can run the code that generated the model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/text-generator/gpt-2.ipynb).
 
 ```yaml
 # cortex.yaml
@@ -101,11 +97,11 @@ Any questions? [chat with us](https://gitter.im/cortexlabs/cortex).
 ## More examples
 
 <!-- CORTEX_VERSION_README_MINOR x3 -->
-- [Iris classification](https://github.com/cortexlabs/cortex/tree/0.8/examples/iris-classifier)
+- [Iris classification](https://github.com/cortexlabs/cortex/tree/0.9/examples/iris-classifier)
 
-- [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.8/examples/sentiment-analysis) with BERT
+- [Sentiment analysis](https://github.com/cortexlabs/cortex/tree/0.9/examples/sentiment-analysis) with BERT
 
-- [Image classification](https://github.com/cortexlabs/cortex/tree/0.8/examples/image-classifier) with Inception v3 and AlexNet
+- [Image classification](https://github.com/cortexlabs/cortex/tree/0.9/examples/image-classifier) with Inception v3 and AlexNet
 
 <br>
 

diff --git a/build/build-image.sh b/build/build-image.sh
@@ -19,7 +19,7 @@ set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. >/dev/null && pwd)"
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.9.0
 
 dir=$1
 image=$2

diff --git a/build/cli.sh b/build/cli.sh
@@ -19,7 +19,7 @@ set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")"/.. >/dev/null && pwd)"
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.9.0
 
 arg1=${1:-""}
 upload="false"

diff --git a/build/push-image.sh b/build/push-image.sh
@@ -17,7 +17,7 @@
 
 set -euo pipefail
 
-CORTEX_VERSION=master
+CORTEX_VERSION=0.9.0
 
 image=$1
 

diff --git a/cortex.sh b/cortex.sh
@@ -84,7 +84,7 @@ set -u
 ### CONFIGURATION ###
 #####################
 
-export CORTEX_VERSION_BRANCH_STABLE=master
+export CORTEX_VERSION_BRANCH_STABLE=0.9.0
 
 export CORTEX_CONFIG="${CORTEX_CONFIG:-""}"
 if [ "$CORTEX_CONFIG" != "" ]; then

diff --git a/docs/cluster/config.md b/docs/cluster/config.md
@@ -37,23 +37,23 @@ export CORTEX_NODES_MIN=2
 export CORTEX_NODES_MAX=5
 
 # Image paths
-export CORTEX_IMAGE_MANAGER="cortexlabs/manager:master"
-export CORTEX_IMAGE_FLUENTD="cortexlabs/fluentd:master"
-export CORTEX_IMAGE_STATSD="cortexlabs/statsd:master"
-export CORTEX_IMAGE_OPERATOR="cortexlabs/operator:master"
-export CORTEX_IMAGE_TF_SERVE="cortexlabs/tf-serve:master"
-export CORTEX_IMAGE_TF_API="cortexlabs/tf-api:master"
-export CORTEX_IMAGE_TF_SERVE_GPU="cortexlabs/tf-serve-gpu:master"
-export CORTEX_IMAGE_ONNX_SERVE="cortexlabs/onnx-serve:master"
-export CORTEX_IMAGE_ONNX_SERVE_GPU="cortexlabs/onnx-serve-gpu:master"
-export CORTEX_IMAGE_CLUSTER_AUTOSCALER="cortexlabs/cluster-autoscaler:master"
-export CORTEX_IMAGE_NVIDIA="cortexlabs/nvidia:master"
-export CORTEX_IMAGE_METRICS_SERVER="cortexlabs/metrics-server:master"
-export CORTEX_IMAGE_ISTIO_PROXY="cortexlabs/istio-proxy:master"
-export CORTEX_IMAGE_ISTIO_PILOT="cortexlabs/istio-pilot:master"
-export CORTEX_IMAGE_ISTIO_CITADEL="cortexlabs/istio-citadel:master"
-export CORTEX_IMAGE_ISTIO_GALLEY="cortexlabs/istio-galley:master"
-export CORTEX_IMAGE_DOWNLOADER="cortexlabs/downloader:master"
+export CORTEX_IMAGE_MANAGER="cortexlabs/manager:0.9.0"
+export CORTEX_IMAGE_FLUENTD="cortexlabs/fluentd:0.9.0"
+export CORTEX_IMAGE_STATSD="cortexlabs/statsd:0.9.0"
+export CORTEX_IMAGE_OPERATOR="cortexlabs/operator:0.9.0"
+export CORTEX_IMAGE_TF_SERVE="cortexlabs/tf-serve:0.9.0"
+export CORTEX_IMAGE_TF_API="cortexlabs/tf-api:0.9.0"
+export CORTEX_IMAGE_TF_SERVE_GPU="cortexlabs/tf-serve-gpu:0.9.0"
+export CORTEX_IMAGE_ONNX_SERVE="cortexlabs/onnx-serve:0.9.0"
+export CORTEX_IMAGE_ONNX_SERVE_GPU="cortexlabs/onnx-serve-gpu:0.9.0"
+export CORTEX_IMAGE_CLUSTER_AUTOSCALER="cortexlabs/cluster-autoscaler:0.9.0"
+export CORTEX_IMAGE_NVIDIA="cortexlabs/nvidia:0.9.0"
+export CORTEX_IMAGE_METRICS_SERVER="cortexlabs/metrics-server:0.9.0"
+export CORTEX_IMAGE_ISTIO_PROXY="cortexlabs/istio-proxy:0.9.0"
+export CORTEX_IMAGE_ISTIO_PILOT="cortexlabs/istio-pilot:0.9.0"
+export CORTEX_IMAGE_ISTIO_CITADEL="cortexlabs/istio-citadel:0.9.0"
+export CORTEX_IMAGE_ISTIO_GALLEY="cortexlabs/istio-galley:0.9.0"
+export CORTEX_IMAGE_DOWNLOADER="cortexlabs/downloader:0.9.0"
 
 # Flag to enable collecting error reports and usage stats. If flag is not set to either "true" or "false", you will be prompted.
 export CORTEX_ENABLE_TELEMETRY=""

diff --git a/docs/cluster/install.md b/docs/cluster/install.md
@@ -13,7 +13,7 @@ See [cluster configuration](config.md) to customize your installation.
 
 ```bash
 # Download
-curl -O https://raw.githubusercontent.com/cortexlabs/cortex/master/cortex.sh
+curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.9/cortex.sh
 
 # Change permissions
 chmod +x cortex.sh
@@ -42,7 +42,7 @@ This will create resources in your AWS account which aren't included in the free
 
 ```bash
 # Clone the Cortex repository
-git clone -b master https://github.com/cortexlabs/cortex.git
+git clone -b 0.9 https://github.com/cortexlabs/cortex.git
 
 # Navigate to the iris classification example
 cd cortex/examples/iris-classifier

diff --git a/docs/cluster/python-client.md b/docs/cluster/python-client.md
@@ -4,7 +4,7 @@ The Python client can be used to programmatically deploy models to a Cortex Clus
 
 <!-- CORTEX_VERSION_BRANCH_STABLE, e.g. v0.9.0 -->
 ```bash
-pip install git+https://github.com/cortexlabs/cortex.git@master#egg=cortex\&subdirectory=pkg/workloads/cortex/client
+pip install git+https://github.com/cortexlabs/cortex.git@v0.9.0#egg=cortex\&subdirectory=pkg/workloads/cortex/client
 ```
 
 The Python client needs to be initialized with AWS credentials and an operator URL for your Cortex cluster. You can find the operator URL by running `./cortex.sh endpoints`.

diff --git a/docs/cluster/uninstall.md b/docs/cluster/uninstall.md
@@ -11,7 +11,7 @@
 
 ```bash
 # Download
-curl -O https://raw.githubusercontent.com/cortexlabs/cortex/master/cortex.sh
+curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.9/cortex.sh
 
 # Change permissions
 chmod +x cortex.sh

diff --git a/docs/cluster/update.md b/docs/cluster/update.md
@@ -13,7 +13,7 @@ See [cluster configuration](config.md) to customize your installation.
 
 ```bash
 # Download
-curl -O https://raw.githubusercontent.com/cortexlabs/cortex/master/cortex.sh
+curl -O https://raw.githubusercontent.com/cortexlabs/cortex/0.9/cortex.sh
 
 # Change permissions
 chmod +x cortex.sh

diff --git a/docs/deployments/packaging-models.md b/docs/deployments/packaging-models.md
@@ -3,7 +3,7 @@
 ## TensorFlow
 
 <!-- CORTEX_VERSION_MINOR -->
-Export your trained model and upload the export directory, or checkpoint directory containing the export directory, which is usually the case if you used `estimator.train_and_evaluate`. An example is shown below (here is the [complete example](https://github.com/cortexlabs/cortex/blob/master/examples/sentiment-analysis)):
+Export your trained model and upload the export directory, or checkpoint directory containing the export directory, which is usually the case if you used `estimator.train_and_evaluate`. An example is shown below (here is the [complete example](https://github.com/cortexlabs/cortex/blob/0.9/examples/sentiment-analysis)):
 
 ```Python
 import tensorflow as tf
@@ -80,10 +80,10 @@ with open("sklearn.onnx", "wb") as f:
 <!-- CORTEX_VERSION_MINOR x4 -->
 Here are complete examples of converting models from some of the common ML frameworks to ONNX:
 
-* [PyTorch](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/pytorch_model.py)
-* [Sklearn](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/sklearn_model.py)
-* [XGBoost](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/xgboost_model.py)
-* [Keras](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/models/keras_model.py)
+* [PyTorch](https://github.com/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/pytorch_model.py)
+* [Sklearn](https://github.com/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/sklearn_model.py)
+* [XGBoost](https://github.com/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/xgboost_model.py)
+* [Keras](https://github.com/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/keras_model.py)
 
 Upload your trained model in ONNX format to Amazon S3 using the AWS web console or CLI:
 

diff --git a/docs/summary.md b/docs/summary.md
@@ -3,7 +3,7 @@
 * [Deploy machine learning models in production](../README.md)
 * [Install](cluster/install.md)
 * [GitHub](https://github.com/cortexlabs/cortex)
-* [Examples](https://github.com/cortexlabs/cortex/tree/master/examples)  <!-- CORTEX_VERSION_MINOR -->
+* [Examples](https://github.com/cortexlabs/cortex/tree/0.9/examples)  <!-- CORTEX_VERSION_MINOR -->
 * [We're hiring](https://angel.co/cortex-labs-inc/jobs)
 * [Email us](mailto:hello@cortex.dev)
 * [Chat with us](https://gitter.im/cortexlabs/cortex)

diff --git a/examples/image-classifier/README.md b/examples/image-classifier/README.md
@@ -20,8 +20,8 @@ A `deployment` specifies a set of resources that are deployed as a single unit.
 
 <!-- CORTEX_VERSION_MINOR x2 -->
 You can run the code that generated the exported models used in this example folder here:
-- [Pytorch Alexnet](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/image-classifier/alexnet.ipynb)
-- [TensorFlow Inception V3](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/image-classifier/inception.ipynb)
+- [Pytorch Alexnet](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/image-classifier/alexnet.ipynb)
+- [TensorFlow Inception V3](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/image-classifier/inception.ipynb)
 
 
 ## Add request handling

diff --git a/examples/image-classifier/alexnet.ipynb b/examples/image-classifier/alexnet.ipynb
@@ -166,7 +166,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/image-classifier) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/image-classifier) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/image-classifier/inception.ipynb b/examples/image-classifier/inception.ipynb
@@ -202,7 +202,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/image-classifier) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/image-classifier) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/iris-classifier/README.md b/examples/iris-classifier/README.md
@@ -20,11 +20,11 @@ Define a `deployment` and an `api` resource in `cortex.yaml`. A `deployment` spe
 
 <!-- CORTEX_VERSION_MINOR x5 -->
 You can run the code that generated the exported models used in this folder example here:
-- [TensorFlow](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/iris-classifier/models/tensorflow.ipynb)
-- [Pytorch](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/iris-classifier/models/pytorch.ipynb)
-- [Keras](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/iris-classifier/models/keras.ipynb)
-- [XGBoost](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/iris-classifier/models/xgboost.ipynb)
-- [sklearn](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/iris-classifier/models/sklearn.ipynb)
+- [TensorFlow](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/tensorflow.ipynb)
+- [Pytorch](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/pytorch.ipynb)
+- [Keras](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/keras.ipynb)
+- [XGBoost](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/xgboost.ipynb)
+- [sklearn](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/iris-classifier/models/sklearn.ipynb)
 
 ## Add request handling
 

diff --git a/examples/iris-classifier/models/keras.ipynb b/examples/iris-classifier/models/keras.ipynb
@@ -242,7 +242,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/iris-classifier) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/iris-classifier) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/iris-classifier/models/pytorch.ipynb b/examples/iris-classifier/models/pytorch.ipynb
@@ -274,7 +274,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/iris-classifier) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/iris-classifier) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/iris-classifier/models/sklearn.ipynb b/examples/iris-classifier/models/sklearn.ipynb
@@ -293,7 +293,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "We also need to upload the mean and standard deviation, so that the [pre-inference request handler](https://github.com/cortexlabs/cortex/blob/master/examples/iris-classifier/handlers/sklearn.py) can normalize the data before making real-time predictions."
+        "We also need to upload the mean and standard deviation, so that the [pre-inference request handler](https://github.com/cortexlabs/cortex/blob/0.9/examples/iris-classifier/handlers/sklearn.py) can normalize the data before making real-time predictions."
       ]
     },
     {
@@ -347,7 +347,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/iris-classifier) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/iris-classifier) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/iris-classifier/models/tensorflow.ipynb b/examples/iris-classifier/models/tensorflow.ipynb
@@ -287,7 +287,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/iris-classifier) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/iris-classifier) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/iris-classifier/models/xgboost.ipynb b/examples/iris-classifier/models/xgboost.ipynb
@@ -235,7 +235,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/iris-classifier) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/iris-classifier) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/sentiment-analysis/README.md b/examples/sentiment-analysis/README.md
@@ -19,7 +19,7 @@ A `deployment` specifies a set of resources that are deployed as a single unit.
 ```
 
 <!-- CORTEX_VERSION_MINOR -->
-You can run the code that generated the exported BERT model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/sentiment-analysis/bert.ipynb).
+You can run the code that generated the exported BERT model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/sentiment-analysis/bert.ipynb).
 
 
 ## Add request handling

diff --git a/examples/sentiment-analysis/bert.ipynb b/examples/sentiment-analysis/bert.ipynb
@@ -998,7 +998,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/sentiment-analysis) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/sentiment-analysis) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/examples/text-generator/README.md b/examples/text-generator/README.md
@@ -20,7 +20,7 @@ A `deployment` specifies a set of resources that are deployed as a single unit.
 ```
 
 <!-- CORTEX_VERSION_MINOR -->
-You can run the code that generated the exported GPT-2 model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/master/examples/text-generator/gpt-2.ipynb).
+You can run the code that generated the exported GPT-2 model [here](https://colab.research.google.com/github/cortexlabs/cortex/blob/0.9/examples/text-generator/gpt-2.ipynb).
 
 ## Add request handling
 

diff --git a/examples/text-generator/gpt-2.ipynb b/examples/text-generator/gpt-2.ipynb
@@ -344,7 +344,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR x2 -->\n",
-        "We also need to upload `vocab.bpe` and `encoder.json`, so that the [encoder](https://github.com/cortexlabs/cortex/blob/master/examples/text-generator/encoder.py) in the [pre-inference request handler](https://github.com/cortexlabs/cortex/blob/master/examples/text-generator/handler.py) can encode the input text before making a request to the model."
+        "We also need to upload `vocab.bpe` and `encoder.json`, so that the [encoder](https://github.com/cortexlabs/cortex/blob/0.9/examples/text-generator/encoder.py) in the [pre-inference request handler](https://github.com/cortexlabs/cortex/blob/0.9/examples/text-generator/handler.py) can encode the input text before making a request to the model."
       ]
     },
     {
@@ -374,7 +374,7 @@
       },
       "source": [
         "<!-- CORTEX_VERSION_MINOR -->\n",
-        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/master/examples/text-generator) for how to deploy the model as an API."
+        "That's it! See the [example on GitHub](https://github.com/cortexlabs/cortex/tree/0.9/examples/text-generator) for how to deploy the model as an API."
       ]
     }
   ]

diff --git a/pkg/consts/consts.go b/pkg/consts/consts.go
@@ -17,7 +17,7 @@ limitations under the License.
 package consts
 
 var (
-	CortexVersion = "master" // CORTEX_VERSION
+	CortexVersion = "0.9.0" // CORTEX_VERSION
 
 	ContextCacheDir    = "/mnt/context"
 	EmptyDirMountPath  = "/mnt"

diff --git a/pkg/workloads/cortex/client/cortex/client.py b/pkg/workloads/cortex/client/cortex/client.py
@@ -44,7 +44,7 @@ def __init__(self, aws_access_key_id, aws_secret_access_key, operator_url):
         self.aws_access_key_id = aws_access_key_id
         self.aws_secret_access_key = aws_secret_access_key
         self.headers = {
-            "CortexAPIVersion": "master",  # CORTEX_VERSION
+            "CortexAPIVersion": "0.9.0",  # CORTEX_VERSION
             "Authorization": "CortexAWS {}|{}".format(
                 self.aws_access_key_id, self.aws_secret_access_key
             ),

diff --git a/pkg/workloads/cortex/client/setup.py b/pkg/workloads/cortex/client/setup.py
@@ -16,7 +16,7 @@
 
 setup(
     name="cortex",
-    version="master",  # CORTEX_VERSION
+    version="0.9.0",  # CORTEX_VERSION
     description="",
     author="Cortex Labs",
     author_email="dev@cortexlabs.com",

diff --git a/pkg/workloads/cortex/consts.py b/pkg/workloads/cortex/consts.py
@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-CORTEX_VERSION = "master"
+CORTEX_VERSION = "0.9.0"