refine samples

examples/flex-flows/basic/README.md

@@ -20,7 +20,12 @@ Ensure you have put your azure open ai endpoint key in [.env](../.env) file. You
 cat ../.env
 ```
 
-- Test flow/node
+- Run/Debug as normal Python file
+```bash
+python flow.py
+```
+
+- Test flow
 ```bash
 # test with default input value in flow.dag.yaml
 pf flow test --flow .
@@ -46,7 +51,7 @@ pf run list
 
 # get a sample run name
 
-name=$(pf run list -r 10 | jq '.[] | select(.name | contains("basic_code_first")) | .name'| head -n 1 | tr -d '"')
+name=$(pf run list -r 10 | jq '.[] | select(.name | contains("basic_")) | .name'| head -n 1 | tr -d '"')
 # show specific run detail
 pf run show --name $name
 
@@ -86,7 +91,7 @@ pf run create --flow . --data ./data.jsonl --stream --environment-variables AZUR
 pf run create --file run.yml --stream
 
 # show outputs
-name=$(pf run list -r 10 | jq '.[] | select(.name | contains("basic_variant_0")) | .name'| head -n 1 | tr -d '"')
+name=$(pf run list -r 10 | jq '.[] | select(.name | contains("basic_")) | .name'| head -n 1 | tr -d '"')
 pf run show-details --name $name
 ```
 
@@ -112,7 +117,7 @@ pfazure run create --file run.yml --stream
 pfazure run list -r 3
 
 # get a sample run name
-name=$(pfazure run list -r 100 | jq '.[] | select(.name | contains("basic_code_first")) | .name'| head -n 1 | tr -d '"')
+name=$(pfazure run list -r 100 | jq '.[] | select(.name | contains("basic_")) | .name'| head -n 1 | tr -d '"')
 
 # show specific run detail
 pfazure run show --name $name

examples/flex-flows/chat-basic/README.md

@@ -44,7 +44,12 @@ Ensure you have put your azure open ai endpoint key in [.env](../.env) file. You
 cat ../.env
 ```
 
-- Test flow/node
+- Run as normal Python file
+```bash
+python flow.py
+```
+
+- Test flow
 
 ```bash
 # run chat flow with default question in flow.dag.yaml
@@ -112,7 +117,7 @@ pf run create --flow . --data ./data.jsonl --stream --environment-variables AZUR
 pf run create --file run.yml --stream
 
 # show outputs
-name=$(pf run list -r 10 | jq '.[] | select(.name | contains("basic_variant_0")) | .name'| head -n 1 | tr -d '"')
+name=$(pf run list -r 10 | jq '.[] | select(.name | contains("chat_basic_")) | .name'| head -n 1 | tr -d '"')
 pf run show-details --name $name
 ```
 

examples/flex-flows/eval-checklist/README.md

@@ -20,6 +20,11 @@ Ensure you have put your azure open ai endpoint key in [.env](../.env) file. You
 cat ../.env
 ```
 
+- Run as normal Python file
+```bash
+python check_list.py
+```
+
 - Test flow
 ```bash
 pf flow test --flow . --inputs answer='ChatGPT is a conversational AI model developed by OpenAI. It is based on the GPT-3 architecture and is designed to generate human-like responses to text inputs. ChatGPT is capable of understanding and responding to a wide range of topics and can be used for tasks such as answering questions, generating creative content, and providing assistance with various tasks. The model has been trained on a diverse range of internet text and is constantly being updated to improve its performance and capabilities. ChatGPT is available through the OpenAI API and can be accessed by developers and researchers to build applications and tools that leverage its capabilities.' statements='{\"correctness\":\"It contains a detailed explanation of ChatGPT.\"}'

examples/flex-flows/eval-code-quality/README.md

@@ -20,6 +20,11 @@ Ensure you have put your azure open ai endpoint key in [.env](../.env) file. You
 cat ../.env
 ```
 
+- Run as normal Python file
+```bash
+python code_quality.py
+```
+
 - Test flow
 ```bash
 # correct

examples/tutorials/trace/custom-otlp-collector/otlp-trace-collector.ipynb

@@ -166,7 +166,7 @@
   }
  ],
  "metadata": {
-  "description": "A tutorial on how to levarage custom OLTP collector.",
+  "description": "A tutorial on how to levarage custom OTLP collector.",
   "kernelspec": {
    "display_name": "tracing-rel",
    "language": "python",