purged interactive group chat + malt

Author: Steve-Dusty

docs/examples/index.md

@@ -93,7 +93,6 @@ This index organizes **100+ production-ready examples** from our [Swarms Example
 | Category | Example | Description |
 |----------|---------|-------------|
 | Agent Judge | [Agent Judge Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/reasoning_agent_examples/agent_judge_example.py) | Agent-based decision making and evaluation system |
-| MALT | [MALT Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/reasoning_agent_examples/malt_example.py) | Multi-agent logical reasoning framework |
 | Reasoning Duo | [Reasoning Duo Example](https://github.com/kyegomez/swarms/blob/master/examples/single_agent/reasoning_agent_examples/reasoning_duo_example.py) | Collaborative reasoning between two specialized agents |
 
 ### Vision and Multimodal

docs/examples/paper_implementations.md

@@ -44,7 +44,6 @@ Whether you're a researcher looking to validate findings, a developer building p
 
 | Paper Name | Description | Original Paper | Implementation | Status | Key Features |
 |------------|-------------|----------------|----------------|--------|--------------|
-| **MALT (Multi-Agent Learning Task)** | A sophisticated orchestration framework that coordinates multiple specialized AI agents to tackle complex tasks through structured conversations. | [arXiv:2412.01928](https://arxiv.org/pdf/2412.01928) | [`swarms.structs.malt`](https://docs.swarms.world/en/latest/swarms/structs/malt/) | ✅ Complete | Creator-Verifier-Refiner architecture, structured conversations, reliability guarantees |
 | **[MAI-DxO (MAI Diagnostic Orchestrator)](https://arxiv.org/abs/2506.22405)** | An open-source implementation of Microsoft Research's "[Sequential Diagnosis with Language Models](https://arxiv.org/abs/2506.22405)" paper, simulating a virtual panel of physician-agents for iterative medical diagnosis. | Microsoft Research Paper | [GitHub Repository](https://github.com/The-Swarm-Corporation/Open-MAI-Dx-Orchestrator) | ✅ Complete | Cost-effective medical diagnosis, physician-agent panel, iterative refinement |
 | **[AI-CoScientist](https://storage.googleapis.com/coscientist_paper/ai_coscientist.pdf)** | A multi-agent AI framework for collaborative scientific research, implementing the "Towards an AI Co-Scientist" methodology with tournament-based hypothesis evolution. | "Towards an AI Co-Scientist" Paper | [GitHub Repository](https://github.com/The-Swarm-Corporation/AI-CoScientist) | ✅ Complete | Tournament-based selection, peer review systems, hypothesis evolution, Elo rating system |
 | **[Mixture of Agents (MoA)](https://arxiv.org/abs/2406.04692)** | A sophisticated multi-agent architecture that implements parallel processing with iterative refinement, combining diverse expert agents for comprehensive analysis. | Multi-agent collaboration concepts | [`swarms.structs.moa`](https://docs.swarms.world/en/latest/swarms/structs/moa/) | ✅ Complete | Parallel processing, expert agent combination, iterative refinement, state-of-the-art performance |

docs/llm.txt

@@ -77,8 +77,6 @@ extra:
         url: "https://docs.swarms.world/en/latest/swarms/structs/swarm_router/"
 
     "Advanced Concepts":
-      - title: "MALT (Multi-Agent Learning Task)"
-        url: "https://github.com/kyegomez/swarms/blob/master/examples/single_agent/reasoning_agent_examples/malt_example.py"
       - title: "MAI-DxO (Medical AI Diagnosis)"
         url: "https://github.com/The-Swarm-Corporation/Open-MAI-Dx-Orchestrator"
       - title: "AI-CoScientist Research Framework"
@@ -283,7 +281,6 @@ nav:
         - SelfMoASeq: "swarms/structs/self_moa_seq.md"
         - SpreadSheetSwarm: "swarms/structs/spreadsheet_swarm.md"
         - ForestSwarm: "swarms/structs/forest_swarm.md"
-        - MALT: "swarms/structs/malt.md"
         - Multi-Agent Execution Utilities: "swarms/structs/various_execution_methods.md"
         - Council of Judges: "swarms/structs/council_of_judges.md"
         - LLM Council: "swarms/structs/llm_council.md"
@@ -429,7 +426,6 @@ nav:
         - DebateWithJudge Quickstart: "examples/debate_quickstart.md"
         - Mixture of Agents: "swarms/examples/moa_example.md"
         - SelfMoASeq: "swarms/examples/self_moa_seq_example.md"
-        - MALT: "swarms/examples/malt_example.md"
 
       - Workflow Patterns:
         - Sequential Workflow: "swarms/examples/sequential_example.md"

docs/mkdocs.yml

@@ -36,7 +36,6 @@ Multi-agent architectures leverage these communication patterns to ensure that a
 | Router                            | Routes and chooses the architecture based on the task requirements and available agents.                                                                               | [Learn More](https://docs.swarms.world/en/latest/swarms/structs/swarm_router/)                       | Dynamic task routing, adaptive architecture selection, optimized agent allocation                 |
 | Heavy                             | High-performance architecture for handling intensive computational tasks with multiple agents.                                                                         | [Learn More](https://docs.swarms.world/en/latest/swarms/structs/heavy_swarm/)                       | Large-scale data processing, intensive computational workflows                                    |
 | Council as Judge                  | Multiple agents act as a council to evaluate and judge outputs or decisions.                                                                                           | [Learn More](https://docs.swarms.world/en/latest/swarms/structs/council_of_judges/)                     | Quality assessment, decision validation, peer review processes                                    |
-| MALT                              | Specialized architecture for complex language processing tasks across multiple agents.                                                                                | [Learn More](https://docs.swarms.world/en/latest/swarms/structs/malt/)                              | Natural language processing, translation, content generation                                      |
 | Majority Voting                   | Agents vote on decisions with the majority determining the final outcome.                                                                                              | [Learn More](https://docs.swarms.world/en/latest/swarms/structs/majorityvoting/)                   | Democratic decision-making, consensus building, error reduction                                   |
 | Round Robin                       | Tasks are distributed cyclically among agents in a rotating order.                                                                                                     | [Learn More](https://docs.swarms.world/en/latest/swarms/structs/round_robin_swarm/)                       | Load balancing, fair task distribution, resource optimization                                     |
 | Auto-Builder                      | Automatically constructs and configures multi-agent systems based on requirements.                                                                                    | [Learn More](https://docs.swarms.world/en/latest/swarms/structs/auto_swarm_builder/)                | Dynamic system creation, adaptive architectures, rapid prototyping                               |
@@ -730,44 +729,6 @@ graph TD
 
 ---
 
-### MALT Architecture
-
-**Overview:**
-Specialized architecture for complex language processing tasks that require coordination between multiple language-focused agents.
-
-**Use Cases:**
-
-- Natural language processing pipelines
-
-- Translation and localization
-
-- Content generation and editing
-
-
-**[Learn More](https://docs.swarms.world/en/latest/swarms/structs/malt/)**
-
-```mermaid
-graph TD
-    A[Language Task] --> B[Task Analyzer]
-    B --> C[Language Router]
-    
-    C --> D[Grammar Agent]
-    C --> E[Semantics Agent]
-    C --> F[Style Agent]
-    C --> G[Context Agent]
-    
-    D --> H[Language Processor]
-    E --> H
-    F --> H
-    G --> H
-    
-    H --> I[Quality Controller]
-    I --> J[Output Formatter]
-    J --> K[Final Language Output]
-```
-
----
-
 ### Majority Voting
 
 **Overview:**

docs/swarms/concept/swarm_architectures.md

@@ -165,7 +165,6 @@ result = router.run("Analyze the investment opportunity")
 | `"AutoSwarmBuilder"` | Automatically build swarm configuration |
 | `"HiearchicalSwarm"` | Hierarchical agent organization |
 | `"MajorityVoting"` | Use majority voting for decisions |
-| `"MALT"` | Multi-Agent Learning and Training |
 | `"CouncilAsAJudge"` | Council-based evaluation system |
 | `"HeavySwarm"` | Heavy swarm for complex tasks |
 | `"BatchedGridWorkflow"` | Batched grid workflow for parallel task processing |

docs/swarms/examples/malt_example.md

@@ -278,9 +278,7 @@ The AutoSwarmBuilder supports various multi-agent architecture patterns:
 | **AutoSwarmBuilder**     | Self-organizing and self-optimizing teams                 |
 | **HiearchicalSwarm**     | Layered decision-making with management tiers             |
 | **MajorityVoting**       | Democratic decision-making with voting                    |
-| **MALT**                 | Multi-agent learning and training                         |
 | **CouncilAsAJudge**      | Deliberative decision-making with expert panels           |
-| **InteractiveGroupChat** | Dynamic group interactions                                |
 | **HeavySwarm**           | High-capacity processing with multiple agents             |
 
 ## Boss System Prompt