chore: add python sdk in monorepo

packages/python-sdk/.gitignore

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+dist
+.env
+build
+.DS_Store
+.vscode/settings.json
+__pycache__/
+lunary/test.py
+lunary/demo.py
+data

packages/python-sdk/README.md

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+<div align="center">
+
+<img src="https://lunary.ai/logo.png" style='border-radius: 12px;' width="50"/> 
+<h1>Lunary Python SDK</h1>
+
+**📈 Python monitoring for AI apps and agent**
+
+[website](https://lunary.ai) - [docs](https://lunary.ai/docs/py/) - ![PyPI - Version](https://img.shields.io/pypi/v/lunary)
+
+---
+
+</div>
+
+Use it with any LLM model and custom agents (not limited to OpenAI).
+
+To get started, get a project ID by registering [here](https://lunary.ai).
+
+## 🛠️ Installation
+
+```bash
+pip install lunary
+```
+
+## 📖 Documentation
+
+Full docs are available [here](https://lunary.ai/docs/py).

packages/python-sdk/examples/anthropic/async-streaming.py

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+import os
+import asyncio
+from anthropic import AsyncAnthropic
+import lunary
+
+client = AsyncAnthropic(
+    api_key=os.environ.get("ANTHROPIC_API_KEY"),  # This is the default and can be omitted
+)
+lunary.monitor(client)
+
+
+async def main() -> None:
+    stream = await client.messages.create(
+        max_tokens=1024,
+        messages=[
+            {
+                "role": "user",
+                "content": "Hello, Claude",
+            }
+        ],
+        model="claude-3-opus-20240229",
+    )
+    for event in stream:
+        pass
+
+
+asyncio.run(main())

packages/python-sdk/examples/anthropic/async.py

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+import os
+import asyncio
+from anthropic import AsyncAnthropic
+import lunary
+
+client = AsyncAnthropic(
+    api_key=os.environ.get("ANTHROPIC_API_KEY"),  # This is the default and can be omitted
+)
+lunary.monitor(client)
+
+
+async def main() -> None:
+    message = await client.messages.create(
+        max_tokens=1024,
+        messages=[
+            {
+                "role": "user",
+                "content": "Hello, Claude",
+            }
+        ],
+        model="claude-3-opus-20240229",
+    )
+    print(message.content)
+
+
+asyncio.run(main())

packages/python-sdk/examples/anthropic/basic.py

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+import os
+from anthropic import Anthropic
+import lunary
+
+client = Anthropic(
+    api_key=os.environ.get("ANTHROPIC_API_KEY"),  
+)
+lunary.monitor(client)
+
+
+message = client.messages.create(
+    max_tokens=1024,
+    messages=[
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ],
+    model="claude-3-opus-20240229",
+)
+
+print(message.ro

packages/python-sdk/examples/anthropic/streaming.py

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+import os
+from anthropic import Anthropic
+import lunary
+
+client = Anthropic(
+    api_key=os.environ.get("ANTHROPIC_API_KEY"),  
+)
+lunary.monitor(client)
+
+
+stream = client.messages.create(
+    max_tokens=1024,
+    messages=[
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ],
+    model="claude-3-opus-20240229",
+    stream=True
+)
+
+for event in stream:
+  pass
+
+

packages/python-sdk/examples/anthropic/tool-call.py

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+from anthropic import Anthropic 
+import lunary
+
+client = Anthropic()
+lunary.monitor(client)
+
+response = client.messages.create(
+    model="claude-3-5-sonnet-20241022",
+    max_tokens=1024,
+    tools=[
+        {
+            "name": "get_weather",
+            "description": "Get the current weather in a given location",
+            "input_schema": {
+                "type": "object",
+                "properties": {
+                    "location": {
+                        "type": "string",
+                        "description": "The city and state, e.g. San Francisco, CA",
+                    }
+                },
+                "required": ["location"],
+            },
+        }
+    ],
+    messages=[{"role": "user", "content": "What's the weather like in San Francisco?"}],
+)
+
+response = client.messages.create(
+    model="claude-3-5-sonnet-20241022",
+    max_tokens=1024,
+    tools=[
+        {
+            "name": "get_weather",
+            "description": "Get the current weather in a given location",
+            "input_schema": {
+                "type": "object",
+                "properties": {
+                    "location": {
+                        "type": "string",
+                        "description": "The city and state, e.g. San Francisco, CA"
+                    },
+                    "unit": {
+                        "type": "string",
+                        "enum": ["celsius", "fahrenheit"],
+                        "description": "The unit of temperature, either 'celsius' or 'fahrenheit'"
+                    }
+                },
+                "required": ["location"]
+            }
+        }
+    ],
+    messages=[
+        {
+            "role": "user",
+            "content": "What's the weather like in San Francisco?"
+        },
+        {
+            "role": "assistant",
+            "content": [
+                {
+                    "type": "text",
+                    "text": "<thinking>I need to use get_weather, and the user wants SF, which is likely San Francisco, CA.</thinking>"
+                },
+                {
+                    "type": "tool_use",
+                    "id": "toolu_01A09q90qw90lq917835lq9",
+                    "name": "get_weather",
+                    "input": {"location": "San Francisco, CA", "unit": "celsius"}
+                }
+            ]
+        },
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "tool_result",
+                    "tool_use_id": "toolu_01A09q90qw90lq917835lq9", # from the API response
+                    "content": "65 degrees" # from running your tool
+                }
+            ]
+        }
+    ]
+)
+
+print(response)

packages/python-sdk/examples/azure-openai/async-stream.py

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+import os, asyncio
+from openai import AsyncAzureOpenAI
+import lunary
+
+DEPLOYMENT_ID = os.environ.get("AZURE_OPENAI_DEPLOYMENT_ID")
+RESOURCE_NAME = os.environ.get("AZURE_OPENAI_RESOURCE_NAME")
+API_KEY = os.environ.get("AZURE_OPENAI_API_KEY")
+
+
+client = AsyncAzureOpenAI(
+    api_version="2023-07-01-preview",
+    api_key=API_KEY,
+    azure_endpoint=f"https://{DEPLOYMENT_ID}.openai.azure.com",
+)
+
+lunary.monitor(client)
+
+async def main() -> None:
+    stream = await client.chat.completions.create(
+        model=RESOURCE_NAME,
+        stream=True,
+        messages=[
+            {
+                "role": "user",
+                "content": "Say this is an async stream test",
+            }
+        ],
+    )
+    async for chunk in stream:
+      if not chunk.choices:
+        continue
+      print(chunk.choices[0].delta.content, end="")
+
+
+
+asyncio.run(main())

packages/python-sdk/examples/azure-openai/async.py

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+import os, asyncio
+from openai import AsyncAzureOpenAI
+import lunary
+
+DEPLOYMENT_ID = os.environ.get("AZURE_OPENAI_DEPLOYMENT_ID")
+RESOURCE_NAME = os.environ.get("AZURE_OPENAI_RESOURCE_NAME")
+API_KEY = os.environ.get("AZURE_OPENAI_API_KEY")
+
+
+client = AsyncAzureOpenAI(
+    api_version="2023-07-01-preview",
+    api_key=API_KEY,
+    azure_endpoint=f"https://{DEPLOYMENT_ID}.openai.azure.com",
+)
+
+lunary.monitor(client)
+
+async def main() -> None:
+    completion = await client.chat.completions.create(
+        model=RESOURCE_NAME,
+        messages=[
+            {
+                "role": "user",
+                "content": "Say this is an Async test",
+            }
+        ],
+    )
+    print(completion.to_json())
+
+
+
+asyncio.run(main())

packages/python-sdk/examples/azure-openai/basic.py

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+import os
+from openai import AzureOpenAI
+import lunary 
+
+API_VERSION = os.environ.get("OPENAI_API_VERSION")
+API_KEY = os.environ.get("AZURE_OPENAI_API_KEY")
+AZURE_ENDPOINT = os.environ.get("AZURE_OPENAI_ENDPOINT")
+RESOURCE_NAME = os.environ.get("AZURE_OPENAI_RESOURCE_NAME")
+
+
+client = AzureOpenAI(
+    api_version=API_VERSION,
+    azure_endpoint=AZURE_ENDPOINT,
+    api_key=API_KEY
+)
+lunary.monitor(client)
+
+completion = client.chat.completions.create(
+    model=RESOURCE_NAME,
+    messages=[
+        {   
+            "role": "user",
+            "content": "How do I output all files in a directory using Python?",
+        },  
+    ],  
+)
+print(completion.to_json())

packages/python-sdk/examples/azure-openai/stream.py

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+import os
+from openai import AzureOpenAI
+import lunary
+
+DEPLOYMENT_ID = os.environ.get("AZURE_OPENAI_DEPLOYMENT_ID")
+RESOURCE_NAME = os.environ.get("AZURE_OPENAI_RESOURCE_NAME")
+API_KEY = os.environ.get("AZURE_OPENAI_API_KEY")
+
+
+client = AzureOpenAI(
+    api_version="2023-07-01-preview",
+    api_key=API_KEY,
+    azure_endpoint=f"https://{DEPLOYMENT_ID}.openai.azure.com",
+)
+
+lunary.monitor(client)
+
+stream = client.chat.completions.create(
+    model=RESOURCE_NAME,
+    stream=True,
+    messages=[
+        {
+            "role": "user",
+            "content": "Say sync stream",
+        },
+    ],
+)
+for chunk in stream:
+    if not chunk.choices:
+      continue
+    print(chunk.choices[0].delta.content, end="")