update

examples/flex-flows/eval-checklist/check_list.py

@@ -58,7 +58,7 @@ def check(answer: str, statement: str):
 
 
 class EvalFlow:
-    
+
     def __init__(self) -> None:
         pass
 

examples/prompty/chat-basic/README.md

@@ -103,27 +103,4 @@ pf run show --name $name
 
 # show output
 pf run show-details --name $name
-```
-
-## Run prompty with connection
-Storing connection info in .env with plaintext is not safe. We recommend to use `pf connection` to guard secrets like `api_key` from leak.
-
-- Test using connection secret specified in environment variables
-**Note**: we used `'` to wrap value since it supports raw value without escape in powershell & bash. For windows command prompt, you may remove the `'` to avoid it become part of the value.
-
-```bash
-# test with default input value in flow.flex.yaml
-pf flow test --flow . --environment-variables AZURE_OPENAI_API_KEY='${open_ai_connection.api_key}' AZURE_OPENAI_ENDPOINT='${open_ai_connection.api_base}'
-```
-
-- Create run using connection secret binding specified in environment variables, see [run.yml](run.yml)
-```bash
-# create run
-pf run create --flow . --data ./data.jsonl --stream --environment-variables AZURE_OPENAI_API_KEY='${open_ai_connection.api_key}' AZURE_OPENAI_ENDPOINT='${open_ai_connection.api_base}' --column-mapping question='${data.question}'
-# create run using yaml file
-pf run create --file run.yml --stream
-
-# show outputs
-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/tutorials/tracing/math_to_code.py

@@ -59,7 +59,7 @@ def code_gen(client: AzureOpenAI, question: str) -> str:
         "Make sure only reply the executable code, no other words."
     )
     completion = client.chat.completions.create(
-        model=os.getenv("CHAT_DEPLOYMENT_NAME"),
+        model=os.getenv("CHAT_DEPLOYMENT_NAME", "gpt-35-turbo"),
         messages=[
             {
                 "role": "system",