diff --git a/docker/virtual-patient-rasa-manager/docs/docker-entrypoint.sh b/docker/virtual-patient-rasa-manager/docs/docker-entrypoint.sh
new file mode 100644
index 00000000..17d188ee
--- /dev/null
+++ b/docker/virtual-patient-rasa-manager/docs/docker-entrypoint.sh
@@ -0,0 +1,9 @@
+#!/bin/bash
+
+# 启动text2vec服务
+source /root/anaconda3/etc/profile.d/conda.sh && \
+      conda activate text2vec_env && \
+      nohup python  /usr/local/text2vec/app.py &
+
+# 启动jar包
+java -jar -Duser.timezone=Asia/Shanghai -Dfile.encoding=UTF-8 -Xms256m -Xmx1g /data/vp/virtual-patient-rasa-1.0-SNAPSHOT.jar "$@"
\ No newline at end of file
diff --git a/docker/virtual-patient-rasa-manager/docs/rasa/config-local.yml b/docker/virtual-patient-rasa-manager/docs/rasa/config-local.yml
new file mode 100644
index 00000000..c61381ea
--- /dev/null
+++ b/docker/virtual-patient-rasa-manager/docs/rasa/config-local.yml
@@ -0,0 +1,29 @@
+
+recipe: default.v1
+language: zh
+
+pipeline:
+  - name: JiebaTokenizer
+  - name: LanguageModelFeaturizer
+    model_name: "bert"
+    model_weights: "/rasa/bert-base-chinese"
+  - name: RegexFeaturizer
+  - name: DIETClassifier
+    epochs: 100
+    learning_rate: 0.001
+    tensorboard_log_directory: ./log
+  - name: ResponseSelector
+    epochs: 100
+    learning_rate: 0.001
+  - name: FallbackClassifier
+    threshold: 0.4
+    ambiguity_threshold: 0.1    
+  - name: EntitySynonymMapper
+  
+policies:
+  - name: MemoizationPolicy
+  - name: TEDPolicy
+  - name: RulePolicy
+    core_fallback_threshold: 0.4
+    core_fallback_action_name: "action_default_fallback"
+    enable_fallback_prediction: True
diff --git a/docker/virtual-patient-rasa-manager/docs/rasa/config.yml b/docker/virtual-patient-rasa-manager/docs/rasa/config.yml
new file mode 100644
index 00000000..ad3057e3
--- /dev/null
+++ b/docker/virtual-patient-rasa-manager/docs/rasa/config.yml
@@ -0,0 +1,29 @@
+
+recipe: default.v1
+language: zh
+
+pipeline:
+  - name: JiebaTokenizer
+  - name: LanguageModelFeaturizer
+    model_name: bert
+    model_weights: bert-base-chinese
+  - name: RegexFeaturizer
+  - name: DIETClassifier
+    epochs: 100
+    learning_rate: 0.001
+    tensorboard_log_directory: ./log
+  - name: ResponseSelector
+    epochs: 100
+    learning_rate: 0.001
+  - name: FallbackClassifier
+    threshold: 0.87
+    ambiguity_threshold: 0.1    
+  - name: EntitySynonymMapper
+  
+policies:
+  - name: MemoizationPolicy
+  - name: TEDPolicy
+  - name: RulePolicy
+    core_fallback_threshold: 0.87
+    core_fallback_action_name: "action_default_fallback"
+    enable_fallback_prediction: True
diff --git a/docker/virtual-patient-rasa-manager/docs/rasa/credentials.yml b/docker/virtual-patient-rasa-manager/docs/rasa/credentials.yml
new file mode 100644
index 00000000..e9f12911
--- /dev/null
+++ b/docker/virtual-patient-rasa-manager/docs/rasa/credentials.yml
@@ -0,0 +1,33 @@
+# This file contains the credentials for the voice & chat platforms
+# which your bot is using.
+# https://rasa.com/docs/rasa/messaging-and-voice-channels
+
+rest:
+#  # you don't need to provide anything here - this channel doesn't
+#  # require any credentials
+
+
+#facebook:
+#  verify: "<verify>"
+#  secret: "<your secret>"
+#  page-access-token: "<your page access token>"
+
+#slack:
+#  slack_token: "<your slack token>"
+#  slack_channel: "<the slack channel>"
+#  slack_signing_secret: "<your slack signing secret>"
+
+#socketio:
+#  user_message_evt: <event name for user message>
+#  bot_message_evt: <event name for bot messages>
+#  session_persistence: <true/false>
+
+#mattermost:
+#  url: "https://<mattermost instance>/api/v4"
+#  token: "<bot token>"
+#  webhook_url: "<callback URL>"
+
+# This entry is needed if you are using Rasa Enterprise. The entry represents credentials
+# for the Rasa Enterprise "channel", i.e. Talk to your bot and Share with guest testers.
+rasa:
+  url: "http://localhost:5002/api"
diff --git a/docker/virtual-patient-rasa-manager/docs/rasa/endpoints.yml b/docker/virtual-patient-rasa-manager/docs/rasa/endpoints.yml
new file mode 100644
index 00000000..c896a6e0
--- /dev/null
+++ b/docker/virtual-patient-rasa-manager/docs/rasa/endpoints.yml
@@ -0,0 +1,51 @@
+# This file contains the different endpoints your bot can use.
+
+# Server where the models are pulled from.
+# https://rasa.com/docs/rasa/model-storage#fetching-models-from-a-server
+
+#models:
+#  url: http://my-server.com/models/default_core@latest
+#  wait_time_between_pulls:  10   # [optional](default: 100)
+
+# Server which runs your custom actions.
+# https://rasa.com/docs/rasa/custom-actions
+
+action_endpoint:
+ url: "http://127.0.0.1:5055/webhook"
+
+# Tracker store which is used to store the conversations.
+# By default the conversations are stored in memory.
+# https://rasa.com/docs/rasa/tracker-stores
+
+#tracker_store:
+#    type: redis
+#    url: <host of the redis instance, e.g. localhost>
+#    port: <port of your redis instance, usually 6379>
+#    db: <number of your database within redis, e.g. 0>
+#    password: <password used for authentication>
+#    use_ssl: <whether or not the communication is encrypted, default false>
+
+#tracker_store:
+#    type: mongod
+#    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
+#    db: <name of the db within your mongo instance, e.g. rasa>
+#    username: <username used for authentication>
+#    password: <password used for authentication>
+
+
+#tracker_store:
+#   type: mongod
+#   url: mongodb://192.168.10.137:27017
+#   db: dialog_test
+#   username: 
+#   password: 
+
+
+# Event broker which all conversation events should be streamed to.
+# https://rasa.com/docs/rasa/event-brokers
+
+#event_broker:
+#  url: localhost
+#  username: username
+#  password: password
+#  queue: queue
diff --git a/virtual-patient-rasa/docs/rasa/endpoints.yml b/virtual-patient-rasa/docs/rasa/endpoints.yml
index 25cb5b66..c896a6e0 100644
--- a/virtual-patient-rasa/docs/rasa/endpoints.yml
+++ b/virtual-patient-rasa/docs/rasa/endpoints.yml
@@ -11,7 +11,7 @@
 # https://rasa.com/docs/rasa/custom-actions
 
 action_endpoint:
- url: "http://192.168.10.137:5055/webhook"
+ url: "http://127.0.0.1:5055/webhook"
 
 # Tracker store which is used to store the conversations.
 # By default the conversations are stored in memory.