[DOCS][CLEANUP]

docs/index.md

@@ -27,9 +27,9 @@ Here you'll find references about the Swarms framework, marketplace, community,
 | Section              | Links                                                                                      |
 |----------------------|--------------------------------------------------------------------------------------------|
 | Swarms Platform Github      | [Swarms Platform GitHub](https://github.com/kyegomez/swarms-platform)                      |
-| Swarms Python Framework Github      | [Swarms Platform GitHub](https://github.com/kyegomez/swarms)                      |
+| Swarms Python Framework Github      | [Swarms GitHub](https://github.com/kyegomez/swarms)                      |
-| Swarms Memory Python Framework     | [Swarms Platform GitHub](https://github.com/The-Swarm-Corporation/swarms-memory)                      |
+| Swarms Memory Python Framework     | [Swarms Memory GitHub](https://github.com/The-Swarm-Corporation/swarms-memory)                      |
-| Swarms Corp Github Profile     | [Swarms Platform GitHub](https://github.com/The-Swarm-Corporation)                      |
+| Swarms Corp Github Profile     | [Swarms Corp GitHub](https://github.com/The-Swarm-Corporation)                      |
 
 ## Get Support
 

docs/swarms/structs/agent.md

@@ -269,3 +269,65 @@ tasks = [
 responses = agent.bulk_run(tasks)
 print(responses)
 ```
+
+
+### Various other settings
+
+```python
+# # Convert the agent object to a dictionary
+print(agent.to_dict())
+print(agent.to_toml())
+print(agent.model_dump_json())
+print(agent.model_dump_yaml())
+
+# Ingest documents into the agent's knowledge base
+agent.ingest_docs("your_pdf_path.pdf")
+
+# Receive a message from a user and process it
+agent.receive_message(name="agent_name", message="message")
+
+# Send a message from the agent to a user
+agent.send_agent_message(agent_name="agent_name", message="message")
+
+# Ingest multiple documents into the agent's knowledge base
+agent.ingest_docs("your_pdf_path.pdf", "your_csv_path.csv")
+
+# Run the agent with a filtered system prompt
+agent.filtered_run(
+    "How can I establish a ROTH IRA to buy stocks and get a tax break? What are the criteria?"
+)
+
+# Run the agent with multiple system prompts
+agent.bulk_run(
+    [
+        "How can I establish a ROTH IRA to buy stocks and get a tax break? What are the criteria?",
+        "Another system prompt",
+    ]
+)
+
+# Add a memory to the agent
+agent.add_memory("Add a memory to the agent")
+
+# Check the number of available tokens for the agent
+agent.check_available_tokens()
+
+# Perform token checks for the agent
+agent.tokens_checks()
+
+# Print the dashboard of the agent
+agent.print_dashboard()
+
+# Print the history and memory of the agent
+agent.print_history_and_memory()
+
+# Fetch all the documents from the doc folders
+agent.get_docs_from_doc_folders()
+
+# Activate agent ops
+agent.activate_agentops()
+agent.check_end_session_agentops()
+
+# Dump the model to a JSON file
+agent.model_dump_json()
+print(agent.to_toml())
+```

swarms/structs/agent.py

@@ -2014,8 +2014,8 @@ class Agent:
             f"Model saved to {self.workspace_dir}/{self.agent_name}.yaml"
         )
     
-    def publish_agent_to_marketplace(self):
+    # def publish_agent_to_marketplace(self):
-        import requests 
+    #     import requests 
         
-        # Prepare the data
+    #     # Prepare the data