add models supported in azure docs

docs/swarms/examples/azure.md

@@ -50,11 +50,175 @@ for model in model_list:
 ```
 
 Common Azure model names include:
-- `azure/gpt-4`
+
+- `azure/gpt-4.1`
+
 - `azure/gpt-4o`
+
 - `azure/gpt-4o-mini`
-- `azure/gpt-35-turbo`
+
-- `azure/gpt-35-turbo-16k`
+
+
+## Models Supported
+
+```txt
+azure_ai/grok-3
+azure_ai/global/grok-3
+azure_ai/global/grok-3-mini
+azure_ai/grok-3-mini
+azure_ai/deepseek-r1
+azure_ai/deepseek-v3
+azure_ai/deepseek-v3-0324
+azure_ai/jamba-instruct
+azure_ai/jais-30b-chat
+azure_ai/mistral-nemo
+azure_ai/mistral-medium-2505
+azure_ai/mistral-large
+azure_ai/mistral-small
+azure_ai/mistral-small-2503
+azure_ai/mistral-large-2407
+azure_ai/mistral-large-latest
+azure_ai/ministral-3b
+azure_ai/Llama-3.2-11B-Vision-Instruct
+azure_ai/Llama-3.3-70B-Instruct
+azure_ai/Llama-4-Scout-17B-16E-Instruct
+azure_ai/Llama-4-Maverick-17B-128E-Instruct-FP8
+azure_ai/Llama-3.2-90B-Vision-Instruct
+azure_ai/Meta-Llama-3-70B-Instruct
+azure_ai/Meta-Llama-3.1-8B-Instruct
+azure_ai/Meta-Llama-3.1-70B-Instruct
+azure_ai/Meta-Llama-3.1-405B-Instruct
+azure_ai/Phi-4-mini-instruct
+azure_ai/Phi-4-multimodal-instruct
+azure_ai/Phi-4
+azure_ai/Phi-3.5-mini-instruct
+azure_ai/Phi-3.5-vision-instruct
+azure_ai/Phi-3.5-MoE-instruct
+azure_ai/Phi-3-mini-4k-instruct
+azure_ai/Phi-3-mini-128k-instruct
+azure_ai/Phi-3-small-8k-instruct
+azure_ai/Phi-3-small-128k-instruct
+azure_ai/Phi-3-medium-4k-instruct
+azure_ai/Phi-3-medium-128k-instruct
+azure_ai/cohere-rerank-v3.5
+azure_ai/cohere-rerank-v3-multilingual
+azure_ai/cohere-rerank-v3-english
+azure_ai/Cohere-embed-v3-english
+azure_ai/Cohere-embed-v3-multilingual
+azure_ai/embed-v-4-0
+azure/gpt-4o-mini-tts
+azure/computer-use-preview
+azure/gpt-4o-audio-preview-2024-12-17
+azure/gpt-4o-mini-audio-preview-2024-12-17
+azure/gpt-4.1
+azure/gpt-4.1-2025-04-14
+azure/gpt-4.1-mini
+azure/gpt-4.1-mini-2025-04-14
+azure/gpt-4.1-nano
+azure/gpt-4.1-nano-2025-04-14
+azure/o3-pro
+azure/o3-pro-2025-06-10
+azure/o3
+azure/o3-2025-04-16
+azure/o3-deep-research
+azure/o4-mini
+azure/gpt-4o-mini-realtime-preview-2024-12-17
+azure/eu/gpt-4o-mini-realtime-preview-2024-12-17
+azure/us/gpt-4o-mini-realtime-preview-2024-12-17
+azure/gpt-4o-realtime-preview-2024-12-17
+azure/us/gpt-4o-realtime-preview-2024-12-17
+azure/eu/gpt-4o-realtime-preview-2024-12-17
+azure/gpt-4o-realtime-preview-2024-10-01
+azure/us/gpt-4o-realtime-preview-2024-10-01
+azure/eu/gpt-4o-realtime-preview-2024-10-01
+azure/o4-mini-2025-04-16
+azure/o3-mini-2025-01-31
+azure/us/o3-mini-2025-01-31
+azure/eu/o3-mini-2025-01-31
+azure/tts-1
+azure/tts-1-hd
+azure/whisper-1
+azure/gpt-4o-transcribe
+azure/gpt-4o-mini-transcribe
+azure/o3-mini
+azure/o1-mini
+azure/o1-mini-2024-09-12
+azure/us/o1-mini-2024-09-12
+azure/eu/o1-mini-2024-09-12
+azure/o1
+azure/o1-2024-12-17
+azure/us/o1-2024-12-17
+azure/eu/o1-2024-12-17
+azure/codex-mini
+azure/o1-preview
+azure/o1-preview-2024-09-12
+azure/us/o1-preview-2024-09-12
+azure/eu/o1-preview-2024-09-12
+azure/gpt-4.5-preview
+azure/gpt-4o
+azure/global/gpt-4o-2024-11-20
+azure/gpt-4o-2024-08-06
+azure/global/gpt-4o-2024-08-06
+azure/gpt-4o-2024-11-20
+azure/us/gpt-4o-2024-11-20
+azure/eu/gpt-4o-2024-11-20
+azure/gpt-4o-2024-05-13
+azure/global-standard/gpt-4o-2024-08-06
+azure/us/gpt-4o-2024-08-06
+azure/eu/gpt-4o-2024-08-06
+azure/global-standard/gpt-4o-2024-11-20
+azure/global-standard/gpt-4o-mini
+azure/gpt-4o-mini
+azure/gpt-4o-mini-2024-07-18
+azure/us/gpt-4o-mini-2024-07-18
+azure/eu/gpt-4o-mini-2024-07-18
+azure/gpt-4-turbo-2024-04-09
+azure/gpt-4-0125-preview
+azure/gpt-4-1106-preview
+azure/gpt-4-0613
+azure/gpt-4-32k-0613
+azure/gpt-4-32k
+azure/gpt-4
+azure/gpt-4-turbo
+azure/gpt-4-turbo-vision-preview
+azure/gpt-35-turbo-16k-0613
+azure/gpt-35-turbo-1106
+azure/gpt-35-turbo-0613
+azure/gpt-35-turbo-0301
+azure/gpt-35-turbo-0125
+azure/gpt-3.5-turbo-0125
+azure/gpt-35-turbo-16k
+azure/gpt-35-turbo
+azure/gpt-3.5-turbo
+azure/mistral-large-latest
+azure/mistral-large-2402
+azure/command-r-plus
+azure/ada
+azure/text-embedding-ada-002
+azure/text-embedding-3-large
+azure/text-embedding-3-small
+azure/gpt-image-1
+azure/low/1024-x-1024/gpt-image-1
+azure/medium/1024-x-1024/gpt-image-1
+azure/high/1024-x-1024/gpt-image-1
+azure/low/1024-x-1536/gpt-image-1
+azure/medium/1024-x-1536/gpt-image-1
+azure/high/1024-x-1536/gpt-image-1
+azure/low/1536-x-1024/gpt-image-1
+azure/medium/1536-x-1024/gpt-image-1
+azure/high/1536-x-1024/gpt-image-1
+azure/standard/1024-x-1024/dall-e-3
+azure/hd/1024-x-1024/dall-e-3
+azure/standard/1024-x-1792/dall-e-3
+azure/standard/1792-x-1024/dall-e-3
+azure/hd/1024-x-1792/dall-e-3
+azure/hd/1792-x-1024/dall-e-3
+azure/standard/1024-x-1024/dall-e-2
+azure/gpt-3.5-turbo-instruct-0914
+azure/gpt-35-turbo-instruct
+azure/gpt-35-turbo-instruct-0914
+```
+
 
 ## Basic Usage
 

examples/single_agent/llms/azure_agent_api_verison.py

@@ -0,0 +1,50 @@
+from swarms import Agent
+
+# Initialize the agent
+agent = Agent(
+    agent_name="Quantitative-Trading-Agent",
+    agent_description="Advanced quantitative trading and algorithmic analysis agent",
+    system_prompt="""You are an expert quantitative trading agent with deep expertise in:
+    - Algorithmic trading strategies and implementation
+    - Statistical arbitrage and market making
+    - Risk management and portfolio optimization
+    - High-frequency trading systems
+    - Market microstructure analysis
+    - Quantitative research methodologies
+    - Financial mathematics and stochastic processes
+    - Machine learning applications in trading
+    
+    Your core responsibilities include:
+    1. Developing and backtesting trading strategies
+    2. Analyzing market data and identifying alpha opportunities
+    3. Implementing risk management frameworks
+    4. Optimizing portfolio allocations
+    5. Conducting quantitative research
+    6. Monitoring market microstructure
+    7. Evaluating trading system performance
+    
+    You maintain strict adherence to:
+    - Mathematical rigor in all analyses
+    - Statistical significance in strategy development
+    - Risk-adjusted return optimization
+    - Market impact minimization
+    - Regulatory compliance
+    - Transaction cost analysis
+    - Performance attribution
+    
+    You communicate in precise, technical terms while maintaining clarity for stakeholders.""",
+    model_name="azure/gpt-4.1",
+    dynamic_temperature_enabled=True,
+    output_type="str-all-except-first",
+    max_loops="auto",
+    interactive=True,
+    no_reasoning_prompt=True,
+    streaming_on=True,
+    api_version="....",
+    # dashboard=True
+)
+
+out = agent.run(
+    task="What are the best top 3 etfs for gold coverage?"
+)
+print(out)

examples/single_agent/llms/azure_model_support.py

@@ -0,0 +1,5 @@
+from litellm import model_list
+
+for model in model_list:
+    if "azure" in model:
+        print(model)

swarms/structs/agent.py

@@ -817,7 +817,7 @@ class Agent:
             return self.llm
         except AgentLLMInitializationError as e:
             logger.error(
-                f"Error in llm_handling: {e} Your current configuration is not supported. Please check the configuration and parameters."
+                f"AgentLLMInitializationError: Agent Name: {self.agent_name} Error in llm_handling: {e} Your current configuration is not supported. Please check the configuration and parameters."
             )
             return None