Change os.environ calls

chained_calls.py

@@ -35,8 +35,8 @@
 
 else:
 
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 response = client.chat.completions.create(

chat.py

@@ -30,13 +30,13 @@
 
 elif API_HOST == "github":
 
-    client = openai.OpenAI(base_url="https://models.inference.ai.azure.com", api_key=os.getenv("GITHUB_TOKEN"))
-    MODEL_NAME = os.getenv("GITHUB_MODEL")
+    client = openai.OpenAI(base_url="https://models.inference.ai.azure.com", api_key=os.environ["GITHUB_TOKEN"])
+    MODEL_NAME = os.environ["GITHUB_MODEL"]
 
 else:
 
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 response = client.chat.completions.create(

chat_async.py

@@ -29,8 +29,8 @@
     client = openai.AsyncOpenAI(base_url="https://models.inference.ai.azure.com", api_key=os.getenv("GITHUB_TOKEN"))
     MODEL_NAME = os.getenv("GITHUB_MODEL")
 else:
-    client = openai.AsyncOpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.AsyncOpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 async def generate_response(location):

chat_history.py

@@ -28,8 +28,8 @@
     client = openai.OpenAI(base_url="https://models.inference.ai.azure.com", api_key=os.getenv("GITHUB_TOKEN"))
     MODEL_NAME = os.getenv("GITHUB_MODEL")
 else:
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 messages = [

chat_history_stream.py

@@ -28,8 +28,8 @@
     client = openai.OpenAI(base_url="https://models.inference.ai.azure.com", api_key=os.getenv("GITHUB_TOKEN"))
     MODEL_NAME = os.getenv("GITHUB_MODEL")
 else:
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 messages = [

chat_langchain.py

@@ -32,7 +32,7 @@
         openai_api_key=os.getenv("GITHUB_TOKEN"),
     )
 else:
-    llm = ChatOpenAI(model_name=os.getenv("OPENAI_MODEL"), openai_api_key=os.getenv("OPENAI_KEY"))
+    llm = ChatOpenAI(model_name=os.environ["OPENAI_MODEL"], openai_api_key=os.environ["OPENAI_KEY"])
 
 
 prompt = ChatPromptTemplate.from_messages(

chat_llamaindex.py

@@ -35,7 +35,7 @@
         is_chat_model=True,
     )
 else:
-    llm = OpenAI(model=os.getenv("OPENAI_MODEL"), api_key=os.getenv("OPENAI_KEY"))
+    llm = OpenAI(model=os.environ["OPENAI_MODEL"], api_key=os.environ["OPENAI_KEY"])
 
 chat_msgs = [
     ChatMessage(

chat_pydanticai.py

@@ -31,9 +31,9 @@
     model = OpenAIModel(os.environ["OPENAI_MODEL"], api_key=os.environ["OPENAI_KEY"])
 
 
-agent = Agent(model, system_prompt="Be concise: 1 sentence only.")
+agent = Agent(model, system_prompt="You are a helpful assistant that makes lots of cat references and uses emojis.")
 
-result = agent.run_sync("Where does 'hello world' come from?")
+result = agent.run_sync("Write a haiku about a hungry cat who wants tuna")
 
 print(f"Response from {API_HOST}: \n")
 print(result.data)

chat_safety.py

@@ -28,8 +28,8 @@
     client = openai.OpenAI(base_url="https://models.inference.ai.azure.com", api_key=os.getenv("GITHUB_TOKEN"))
     MODEL_NAME = os.getenv("GITHUB_MODEL")
 else:
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 try:
     response = client.chat.completions.create(

chat_stream.py

@@ -28,8 +28,8 @@
     client = openai.OpenAI(base_url="https://models.inference.ai.azure.com", api_key=os.getenv("GITHUB_TOKEN"))
     MODEL_NAME = os.getenv("GITHUB_MODEL")
 else:
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 completion = client.chat.completions.create(

few_shot_examples.py

@@ -35,8 +35,8 @@
 
 else:
 
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 SYSTEM_MESSAGE = """

function_calling.py

@@ -35,8 +35,8 @@
 
 else:
 
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 tools = [

function_calling_call.py

@@ -32,8 +32,8 @@
     MODEL_NAME = os.getenv("GITHUB_MODEL")
 
 else:
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 def lookup_weather(city_name=None, zip_code=None):

function_calling_multiple.py

@@ -35,8 +35,8 @@
 
 else:
 
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 tools = [

http/.env.sample

@@ -1,2 +1,3 @@
-AZURE_OPENAI_SERVICE=
-AUTH_TOKEN=
+SERVICE=
+DEPLOYMENT=
+TOKEN=

http/chat_completion_ollama.http

@@ -0,0 +1,10 @@
+POST http://localhost:11434/v1/chat/completions
+Content-Type: application/json
+
+{
+    "model": "phi3.5:latest",
+    "messages": [{"role":"system","content":"You are an AI assistant that answers questions with short clear answers."},
+                 {"role":"user","content":"How fast is the Prius V?"}],
+    "max_tokens": 800,
+    "temperature": 0.7
+}

prompt_engineering.py

@@ -35,19 +35,19 @@
 
 else:
 
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 SYSTEM_MESSAGE = """
-I want you to act like Elmo from Sesame Street.
-I want you to respond and answer like Elmo using the tone, manner and vocabulary that Elmo would use.
-Do not write any explanations. Only answer like Elmo.
-You must know all of the knowledge of Elmo, and nothing more.
+I want you to act like Yoda from Star Wars.
+I want you to respond and answer like Yoda using the tone, manner and vocabulary that Yoda would use.
+Do not write any explanations. Only answer like Yoda.
+You must know all of the knowledge of Yoda, and nothing more.
 """
 
 USER_MESSAGE = """
-Hi Elmo, how are you doing today?
+What is an LLM?
 """
 
 response = client.chat.completions.create(

requirements.txt

@@ -6,3 +6,4 @@ langchain-openai
 llama-index-llms-azure-openai
 llama-index-llms-openai
 llama-index-llms-openai-like
+pydantic-ai

retrieval_augmented_generation.py

@@ -32,8 +32,8 @@
     MODEL_NAME = os.getenv("GITHUB_MODEL")
 
 else:
-    client = openai.OpenAI(api_key=os.getenv("OPENAI_KEY"))
-    MODEL_NAME = os.getenv("OPENAI_MODEL")
+    client = openai.OpenAI(api_key=os.environ["OPENAI_KEY"])
+    MODEL_NAME = os.environ["OPENAI_MODEL"]
 
 
 USER_MESSAGE = "how fast is the prius v?"