using chat api for examples (#92)

Author: wangchao1230

.gitignore

@@ -164,6 +164,7 @@ cython_debug/
 # ignore 
 # TODO: ignore when PFS supports submit without tools.json
 .promptflow
+!flow.tools.json
 .runs
 connection.json
 .env

examples/flows/standard/basic-with-builtin-llm/README.md

@@ -18,6 +18,8 @@ pip install -r requirements.txt
 ## Setup connection
 Prepare your Azure Open AI resource follow this [instruction](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal) and get your `api_key` if you don't have one.
 
+Note in this example, we are using [chat api](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/chatgpt?pivots=programming-language-chat-completions), please use `gpt-35-turbo` or `gpt-4` model deployment.
+
 Ensure you have created `azure_open_ai_connection` connection before.
 ```bash
 pf connection show -n azure_open_ai_connection
@@ -39,7 +41,7 @@ pf connection create -f azure_openai.yml --set api_key=<your_api_key> api_base=<
 pf flow test --flow .
 
 # test with inputs
-pf flow test --flow . --inputs text="Hello World!"
+pf flow test --flow . --inputs text="Python Hello World!"
 ```
 
 ### run with multiple lines data

examples/flows/standard/basic-with-builtin-llm/data.jsonl

@@ -1,2 +1,3 @@
-{"text": "Hello World!"}
-{"text": "Hello PromptFlow!"}
+{"text": "Python Hello World!"}
+{"text": "C Hello World!"}
+{"text": "C# Hello World!"}

examples/flows/standard/basic-with-builtin-llm/flow.dag.yaml

@@ -1,7 +1,7 @@
 inputs:
   text:
     type: string
-    default: Hello World!
+    default: Python Hello World!
 outputs:
   output:
     type: string
@@ -18,12 +18,12 @@ nodes:
   type: llm
   inputs:
     prompt: ${hello_prompt.output}
-    deployment_name: text-davinci-003
+    deployment_name: gpt-35-turbo
     max_tokens: '120'
   source:
     type: code
     path: hello.jinja2
   provider: AzureOpenAI
   connection: azure_open_ai_connection
-  api: completion
+  api: chat
 node_variants: {}

examples/flows/standard/basic-with-builtin-llm/hello.jinja2

@@ -1,2 +1,5 @@
-{# Please replace the template with your own prompt. #}
+system:
+You are a assistant which can write code. Response should only contain code.
+
+user:
 Write a simple {{text}} program that displays the greeting message when executed.

examples/flows/standard/basic-with-connection/data.jsonl

@@ -1,2 +1,3 @@
-{"text": "Hello World!"}
-{"text": "Hello PromptFlow!"}
+{"text": "Python Hello World!"}
+{"text": "C Hello World!"}
+{"text": "C# Hello World!"}

examples/flows/standard/basic/README.md

@@ -33,7 +33,7 @@ cat .env
 pf flow test --flow .
 
 # test with flow inputs
-pf flow test --flow . --inputs text="Hello World!"
+pf flow test --flow . --inputs text="Java Hello World!"
 
 # test node with inputs
 # pf flow test --flow . --node llm --inputs prompt="Write a simple Hello World program that displays the greeting message when executed."

examples/flows/standard/basic/data.jsonl

@@ -1,2 +1,3 @@
-{"text": "Hello World!"}
-{"text": "Hello PromptFlow!"}
+{"text": "Python Hello World!"}
+{"text": "C Hello World!"}
+{"text": "C# Hello World!"}

examples/flows/standard/flow-with-additional-includes/flow.dag.yaml

@@ -31,15 +31,15 @@ nodes:
     type: code
     path: classify_with_llm.jinja2
   inputs:
-    deployment_name: text-davinci-003
+    deployment_name: gpt-35-turbo
     max_tokens: '128'
     temperature: '0.2'
     url: ${inputs.url}
     text_content: ${summarize_text_content.output}
     examples: ${prepare_examples.output}
   provider: AzureOpenAI
   connection: azure_open_ai_connection
-  api: completion
+  api: chat
 - name: convert_to_dict
   type: python
   source:
@@ -69,13 +69,13 @@ node_variants:
             type: code
             path: summarize_text_content.jinja2
           inputs:
-            deployment_name: text-davinci-003
+            deployment_name: gpt-35-turbo
             max_tokens: '128'
             temperature: '0.2'
             text: ${fetch_text_content_from_url.output}
           provider: AzureOpenAI
           connection: azure_open_ai_connection
-          api: completion
+          api: chat
           module: promptflow.tools.aoai
       variant_1:
         node:
@@ -84,11 +84,11 @@ node_variants:
             type: code
             path: summarize_text_content__variant_1.jinja2
           inputs:
-            deployment_name: text-davinci-003
+            deployment_name: gpt-35-turbo
             max_tokens: '256'
             temperature: '0.3'
             text: ${fetch_text_content_from_url.output}
           provider: AzureOpenAI
           connection: azure_open_ai_connection
-          api: completion
+          api: chat
           module: promptflow.tools.aoai

examples/flows/standard/flow-with-symlinks/flow.dag.yaml

@@ -31,15 +31,15 @@ nodes:
     type: code
     path: classify_with_llm.jinja2
   inputs:
-    deployment_name: text-davinci-003
+    deployment_name: gpt-35-turbo
     max_tokens: 128
     temperature: 0.2
     url: ${inputs.url}
     text_content: ${summarize_text_content.output}
     examples: ${prepare_examples.output}
   provider: AzureOpenAI
   connection: azure_open_ai_connection
-  api: completion
+  api: chat
 - name: convert_to_dict
   type: python
   source:
@@ -58,13 +58,13 @@ node_variants:
             type: code
             path: summarize_text_content.jinja2
           inputs:
-            deployment_name: text-davinci-003
+            deployment_name: gpt-35-turbo
             max_tokens: 128
             temperature: 0.2
             text: ${fetch_text_content_from_url.output}
           provider: AzureOpenAI
           connection: azure_open_ai_connection
-          api: completion
+          api: chat
           module: promptflow.tools.aoai
       variant_1:
         node:
@@ -73,11 +73,11 @@ node_variants:
             type: code
             path: summarize_text_content__variant_1.jinja2
           inputs:
-            deployment_name: text-davinci-003
+            deployment_name: gpt-35-turbo
             max_tokens: 256
             temperature: 0.3
             text: ${fetch_text_content_from_url.output}
           provider: AzureOpenAI
           connection: azure_open_ai_connection
-          api: completion
+          api: chat
           module: promptflow.tools.aoai