[Examples][ReasoningAgentRouter]

Author: kyegomez

examples/rag/README.md

@@ -2,11 +2,25 @@
 
 This directory contains examples demonstrating advanced reasoning capabilities and agent evaluation systems in Swarms.
 
+## Reasoning Agent Router Examples
+
+The `reasoning_agent_router_examples/` folder contains simple examples for each agent type supported by the `ReasoningAgentRouter`:
+
+- [reasoning_duo_example.py](reasoning_agent_router_examples/reasoning_duo_example.py) - Reasoning Duo agent for collaborative reasoning
+- [self_consistency_example.py](reasoning_agent_router_examples/self_consistency_example.py) - Self-Consistency agent with multiple samples
+- [ire_example.py](reasoning_agent_router_examples/ire_example.py) - Iterative Reflective Expansion (IRE) agent
+- [agent_judge_example.py](reasoning_agent_router_examples/agent_judge_example.py) - Agent Judge for evaluation and judgment
+- [reflexion_agent_example.py](reasoning_agent_router_examples/reflexion_agent_example.py) - Reflexion agent with memory capabilities
+- [gkp_agent_example.py](reasoning_agent_router_examples/gkp_agent_example.py) - Generated Knowledge Prompting (GKP) agent
+
 ## Agent Judge Examples
+
+The `agent_judge_examples/` folder contains detailed examples of the AgentJudge system:
+
 - [example1_basic_evaluation.py](agent_judge_examples/example1_basic_evaluation.py) - Basic agent evaluation
 - [example2_technical_evaluation.py](agent_judge_examples/example2_technical_evaluation.py) - Technical evaluation criteria
 - [example3_creative_evaluation.py](agent_judge_examples/example3_creative_evaluation.py) - Creative evaluation patterns
 
-## O3 Integration
-- [example_o3.py](example_o3.py) - O3 model integration example
-- [o3_agent.py](o3_agent.py) - O3 agent implementation
+## Self-MoA Sequential Examples
+
+- [moa_seq_example.py](moa_seq_example.py) - Self-MoA Sequential reasoning example for complex problem-solving

examples/rag/qdrant_rag_example.py

@@ -0,0 +1,9 @@
+from swarms.agents.reasoning_agents import ReasoningAgentRouter
+
+router = ReasoningAgentRouter(
+    swarm_type="AgentJudge",
+    model_name="gpt-4o-mini",
+    max_loops=1,
+)
+
+result = router.run("Is Python a good programming language?")

examples/reasoning_agents/README.md

@@ -0,0 +1,9 @@
+from swarms.agents.reasoning_agents import ReasoningAgentRouter
+
+router = ReasoningAgentRouter(
+    swarm_type="GKPAgent",
+    model_name="gpt-4o-mini",
+    num_knowledge_items=3,
+)
+
+result = router.run("What is artificial intelligence?")

examples/reasoning_agents/example_o3.py

@@ -0,0 +1,11 @@
+from swarms.agents.reasoning_agents import ReasoningAgentRouter
+
+router = ReasoningAgentRouter(
+    swarm_type="ire",
+    model_name="gpt-4o-mini",
+    num_samples=1,
+)
+
+result = router.run("Explain photosynthesis in one sentence.")
+print(result)
+

examples/reasoning_agents/reasoning_agent_router_examples/agent_judge_example.py

@@ -0,0 +1,9 @@
+from swarms.agents.reasoning_agents import ReasoningAgentRouter
+
+router = ReasoningAgentRouter(
+    swarm_type="reasoning-duo",
+    model_name="gpt-4o-mini",
+    max_loops=1,
+)
+
+result = router.run("What is 2+2?")

examples/reasoning_agents/reasoning_agent_router_examples/gkp_agent_example.py

@@ -0,0 +1,10 @@
+from swarms.agents.reasoning_agents import ReasoningAgentRouter
+
+router = ReasoningAgentRouter(
+    swarm_type="ReflexionAgent",
+    model_name="gpt-4o-mini",
+    max_loops=1,
+    memory_capacity=3,
+)
+
+result = router.run("What is machine learning?")

examples/reasoning_agents/reasoning_agent_router_examples/ire_example.py

@@ -0,0 +1,10 @@
+from swarms.agents.reasoning_agents import ReasoningAgentRouter
+
+router = ReasoningAgentRouter(
+    swarm_type="self-consistency",
+    model_name="gpt-4o-mini",
+    max_loops=1,
+    num_samples=3,
+)
+
+result = router.run("What is the capital of France?")