Atomic agents sdk implemenatation

.gitignore

@@ -64,6 +64,7 @@ db.sqlite3-journal
 # Flask stuff:
 instance/
 .webassets-cache
+assets
 
 # Scrapy stuff:
 .scrapy
@@ -82,6 +83,10 @@ target/
 profile_default/
 ipython_config.py
 
+Atomic_Agents_vis 
+AgentChat_vis
+agentchat_graph.json
+atomic.json
 # pyenv
 #   For a library or package, you might want to ignore these files since the code is
 #   intended to run in multiple environments; otherwise, check them in:

atomic-agent.json

@@ -0,0 +1,255 @@
+{
+  "nodes": [
+    {
+      "id": "End",
+      "name": "End",
+      "node_type": "End",
+      "function_name": null,
+      "docstring": null,
+      "source_location": null,
+      "metadata": {}
+    },
+    {
+      "id": "Start",
+      "name": "Start",
+      "node_type": "Start",
+      "function_name": null,
+      "docstring": null,
+      "source_location": null,
+      "metadata": {}
+    },
+    {
+      "id": "agent",
+      "name": "agent",
+      "node_type": "Agent",
+      "source_location": {
+        "file": "examples\\code\\atomic_agents\\mainPDFAnalysis.py",
+        "line": 43,
+        "col": 0,
+        "end_line": 51,
+        "end_col": 1
+      },
+      "metadata": {
+        "type": "AtomicAgent",
+        "config": {
+          "client": "client",
+          "model": "'gemini-2.0-flash'",
+          "system_prompt_generator": "system_prompt_generator",
+          "input_schema": "InputSchema",
+          "output_schema": "ExtractionResult"
+        }
+      },
+      "function_name": null,
+      "docstring": null
+    },
+    {
+      "id": "nutrition_analyzer",
+      "name": "nutrition_analyzer",
+      "node_type": "Agent",
+      "source_location": {
+        "file": "examples\\code\\atomic_agents\\mainBaseModal.py",
+        "line": 62,
+        "col": 0,
+        "end_line": 90,
+        "end_col": 1
+      },
+      "metadata": {
+        "type": "AtomicAgent",
+        "config": {
+          "client": "instructor.from_openai(openai.OpenAI(api_key=API_KEY))",
+          "model": "'gpt-5-mini'",
+          "model_api_parameters": "{'reasoning_effort': 'low'}",
+          "system_prompt_generator": "SystemPromptGenerator(background=['You are a specialized nutrition label analyzer.', 'You excel at extracting precise nutritional information from food label images.', 'You understand various serving size formats and measurement units.', 'You can process multiple nutrition labels simultaneously.'], steps=['For each nutrition label image:', '1. Locate and identify the nutrition facts panel', '2. Extract all serving information and nutritional values', '3. Validate measurements and units for accuracy', '4. Compile the nutrition facts into structured data'], output_instructions=['For each analyzed nutrition label:', '1. Record complete serving size information', '2. Extract all nutrient values with correct units', '3. Ensure all measurements are properly converted', '4. Include all extracted labels in the final result'])"
+        }
+      },
+      "function_name": null,
+      "docstring": null
+    },
+    {
+      "id": "orchestrator_agent",
+      "name": "orchestrator_agent",
+      "node_type": "Agent",
+      "source_location": {
+        "file": "examples\\code\\atomic_agents\\orchestor.py",
+        "line": 181,
+        "col": 8,
+        "end_line": 181,
+        "end_col": 125
+      },
+      "metadata": {
+        "type": "AtomicAgent"
+      },
+      "function_name": null,
+      "docstring": null
+    },
+    {
+      "id": "orchestrator_agent_final",
+      "name": "orchestrator_agent_final",
+      "node_type": "Agent",
+      "source_location": {
+        "file": "examples\\code\\atomic_agents\\orchestor.py",
+        "line": 92,
+        "col": 0,
+        "end_line": 92,
+        "end_col": 116
+      },
+      "metadata": {
+        "type": "AtomicAgent"
+      },
+      "function_name": null,
+      "docstring": null
+    }
+  ],
+  "edges": [
+    {
+      "source": "Start",
+      "target": "agent",
+      "edge_type": "execution_start",
+      "condition": {},
+      "metadata": {
+        "method": "run",
+        "definition_location": {
+          "file": "examples\\code\\atomic_agents\\hooksModel.py",
+          "line": 189,
+          "col": 23,
+          "end_line": 189,
+          "end_col": 39
+        }
+      }
+    },
+    {
+      "source": "Start",
+      "target": "agent",
+      "edge_type": "execution_start",
+      "condition": {},
+      "metadata": {
+        "method": "run",
+        "definition_location": {
+          "file": "examples\\code\\atomic_agents\\hooksModel.py",
+          "line": 221,
+          "col": 23,
+          "end_line": 221,
+          "end_col": 39
+        }
+      }
+    },
+    {
+      "source": "Start",
+      "target": "agent",
+      "edge_type": "execution_start",
+      "condition": {},
+      "metadata": {
+        "method": "run",
+        "definition_location": {
+          "file": "examples\\code\\atomic_agents\\hooksModel.py",
+          "line": 260,
+          "col": 23,
+          "end_line": 260,
+          "end_col": 39
+        }
+      }
+    },
+    {
+      "source": "Start",
+      "target": "agent",
+      "edge_type": "execution_start",
+      "condition": {},
+      "metadata": {
+        "method": "run",
+        "definition_location": {
+          "file": "examples\\code\\atomic_agents\\mainPDFAnalysis.py",
+          "line": 68,
+          "col": 26,
+          "end_line": 68,
+          "end_col": 53
+        }
+      }
+    },
+    {
+      "source": "Start",
+      "target": "nutrition_analyzer",
+      "edge_type": "execution_start",
+      "condition": {},
+      "metadata": {
+        "method": "run",
+        "definition_location": {
+          "file": "examples\\code\\atomic_agents\\mainBaseModal.py",
+          "line": 110,
+          "col": 26,
+          "end_line": 110,
+          "end_col": 66
+        }
+      }
+    },
+    {
+      "source": "Start",
+      "target": "orchestrator_agent",
+      "edge_type": "execution_start",
+      "condition": {},
+      "metadata": {
+        "method": "run",
+        "definition_location": {
+          "file": "examples\\code\\atomic_agents\\orchestor.py",
+          "line": 154,
+          "col": 30,
+          "end_line": 154,
+          "end_col": 66
+        }
+      }
+    },
+    {
+      "source": "Start",
+      "target": "orchestrator_agent",
+      "edge_type": "execution_start",
+      "condition": {},
+      "metadata": {
+        "method": "run",
+        "definition_location": {
+          "file": "examples\\code\\atomic_agents\\orchestor.py",
+          "line": 178,
+          "col": 23,
+          "end_line": 178,
+          "end_col": 59
+        }
+      }
+    },
+    {
+      "source": "Start",
+      "target": "orchestrator_agent_final",
+      "edge_type": "implicit_start",
+      "condition": {},
+      "metadata": {}
+    },
+    {
+      "source": "agent",
+      "target": "End",
+      "edge_type": "implicit_end",
+      "condition": {},
+      "metadata": {}
+    },
+    {
+      "source": "nutrition_analyzer",
+      "target": "End",
+      "edge_type": "implicit_end",
+      "condition": {},
+      "metadata": {}
+    },
+    {
+      "source": "orchestrator_agent",
+      "target": "End",
+      "edge_type": "implicit_end",
+      "condition": {},
+      "metadata": {}
+    },
+    {
+      "source": "orchestrator_agent_final",
+      "target": "End",
+      "edge_type": "implicit_end",
+      "condition": {},
+      "metadata": {}
+    }
+  ],
+  "metadata": {
+    "framework": "Atomic_Agents"
+  }
+}