feat: Added examples for anthropic api call-chat and function calling

examples/anthropic/anthropic_api_function_calling.py

@@ -0,0 +1,68 @@
+import os
+from dotenv import load_dotenv
+from javelin_sdk import JavelinClient, JavelinConfig
+
+load_dotenv()
+
+# Config setup
+config = JavelinConfig(
+    base_url=os.getenv("JAVELIN_BASE_URL"),
+    javelin_api_key=os.getenv("JAVELIN_API_KEY"),
+    llm_api_key=os.getenv("ANTHROPIC_API_KEY"),
+    timeout=120,
+)
+client = JavelinClient(config)
+
+# Headers
+headers = {
+    "Content-Type": "application/json",
+    "x-javelin-route": "anthropic_univ", # add your universal route
+    "x-javelin-model": "claude-3-5-sonnet-20240620", # add any supported model
+    "x-javelin-provider": "https://api.anthropic.com/v1",
+    "x-api-key": os.getenv("ANTHROPIC_API_KEY"), 
+    "anthropic-version": "2023-06-01",
+}
+client.set_headers(headers)
+
+# Tool definition — using `input_schema` instead of OpenAI's `parameters`
+functions = [
+    {
+        "name": "get_weather",
+        "description": "Get the current weather in a city",
+        "input_schema": {
+            "type": "object",
+            "properties": {
+                "location": {"type": "string", "description": "City name"},
+                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+            },
+            "required": ["location"],
+        },
+    }
+]
+
+# Messages
+messages = [
+    {
+        "role": "user",
+        "content": [{"type": "text", "text": "What's the weather like in Mumbai in celsius?"}],
+    }
+]
+
+# Request payload
+query_body = {
+    "model": "claude-3-5-sonnet-20240620",
+    "temperature": 0.7,
+    "max_tokens": 300,
+    "messages": messages,
+    "tools": functions,
+    "tool_choice": {"type": "auto"},  # Important: dict, not string
+}
+
+# Call
+response = client.query_unified_endpoint(
+    provider_name="anthropic",
+    endpoint_type="messages",
+    query_body=query_body,
+)
+
+print(response)

examples/anthropic/javelin_anthropic_api_call.py

@@ -0,0 +1,57 @@
+import os
+import json
+from typing import Dict, Any
+from javelin_sdk import JavelinClient, JavelinConfig
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Helper for pretty print
+def print_response(provider: str, response: Dict[str, Any]) -> None:
+    print(f"=== Response from {provider} ===")
+    print(json.dumps(response, indent=2))
+
+# Javelin client config
+config = JavelinConfig(
+    base_url=os.getenv("JAVELIN_BASE_URL"),
+    javelin_api_key=os.getenv("JAVELIN_API_KEY"),
+    llm_api_key=os.getenv("ANTHROPIC_API_KEY"),
+    timeout=120,
+)
+client = JavelinClient(config)
+
+# Proper headers (must match Anthropic's expectations)
+custom_headers = {
+    "Content-Type": "application/json",
+    "x-javelin-route": "anthropic_univ",
+    "x-javelin-model": "claude-3-5-sonnet-20240620",
+    "x-javelin-provider": "https://api.anthropic.com/v1",
+    "x-api-key": os.getenv("ANTHROPIC_API_KEY"),  # For Anthropic model
+    "anthropic-version": "2023-06-01",
+}
+client.set_headers(custom_headers)
+
+# Claude-compatible messages format
+query_body = {
+    "model": "claude-3-5-sonnet-20240620",
+    "max_tokens": 300,
+    "temperature": 0.7,
+    "system": "You are a helpful assistant.",
+    "messages": [
+        {
+            "role": "user",
+            "content": [{"type": "text", "text": "What are the three primary colors?"}]
+        }
+    ],
+}
+
+# Invoke
+try:
+    response = client.query_unified_endpoint(
+        provider_name="anthropic",
+        endpoint_type="messages",
+        query_body=query_body,
+    )
+    print_response("Anthropic", response)
+except Exception as e:
+    print(f"Anthropic query failed: {str(e)}")

examples/azure-openai/javelin_azureopenai_univ_endpoint.py

@@ -4,7 +4,9 @@
 from typing import Any, Dict
 
 from javelin_sdk import JavelinClient, JavelinConfig
+from dotenv import load_dotenv
 
+load_dotenv()
 
 # Helper function to pretty print responses
 def print_response(provider: str, response: Dict[str, Any]) -> None: