86cb09ad76
chore: restore repository state to commit 8d1d22d for stability
3 months ago
cb6eca6784
fix: update MCP server config and test script for single-agent multi-server setup
...
- Fixed `math_server.py` to support clean server initialization
- Updated `multi_server_test.py` to validate single agent interactions with multiple MCP servers
3 months ago
60d51457f1
fix: correct MCP server port binding and test response logic
...
- Fixed port configuration in `math_server.py` to ensure proper server startup
- Updated response handling in `multi_server_test.py` to resolve missing outputs during testing
3 months ago
f07ca75418
fix: refine MCP server configuration for multi-agent multi-server routing
...
- Adjusted `math_server.py` and `calc_server.py` to support many-to-many agent-server interactions
- Resolved config inconsistencies causing agents to fail output delivery
- Ensured each agent can access appropriate tools from multiple MCP servers
3 months ago
3273747e6a
fix: correct imports and server setup in math and calc servers
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- Resolved broken or missing import statements in `math_server.py` and `calc_server.py`
- Updated server initialization to ensure proper startup and output delivery
3 months ago
3da7bd6381
fix: resolve MCP server response handling and LiteLLM output issues
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- Fixed improper LiteLLM output rendering in Super-Calculator agent
- Updated `math_server.py`, `calc_server.py`, and `multi_server_test.py` for correct response formatting
- Verified request routing and MCP integration with agent structures
3 months ago
885a50c985
fix: debug MCP server setup and enhance response handling logic
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- Corrected initialization issues in `math_server.py` and `calc_server.py`
- Improved response formatting and delivery in `multi_server_test.py`
- Resolved issue where agent output showed raw stream wrapper instead of actual response
3 months ago
c75fa97cb7
fix: resolve LiteLLM initialization issues in math and calc servers
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- Updated initialization logic in `math_server.py` and `calc_server.py`
- Addressed missing or invalid response output due to improper model handling
3 months ago
a877cc8a47
style: enhance output formatting in multi-agent architecture
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- Improved clarity and readability of agent responses in `multi_server_test.py`
- Added a dedicated function to format multi-agent outputs consistently
3 months ago
9faf83b83b
fix: set model_name='gpt-4o-mini' for all agents to suppress warnings
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- Updated all agents in `multi_server_test.py` to explicitly define model name
- Eliminated LiteLLM fallback warnings during runtime
- Ensured proper agent responses in multi-agent MCP test environment
3 months ago
db3746131b
chore: set explicit model configuration for all agents
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- Resolved model selection warnings by specifying 'gpt-4o-mini'
- Ensured agents explicitly define model name to avoid default fallbacks
- Improves clarity and consistency in agent–MCP server communication
3 months ago
a64dab83f2
feat: implement multi-agent MCP system with multiple server instances
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- Created `multi_server_test.py` to test coordination across agents and servers
- Added `calc_server.py` for handling computation requests
- Referenced swarms-rs Rust architecture for Python-based design structure
3 months ago
0761165684
fix: enhance MCP integration with robust error handling and task coverage
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- Improved `math_server.py` and `test_integration.py` for stability
- Added structured error handling across MCP components
- Aligned implementation with Kye’s task requirements for Swarms MCP integration
3 months ago
f854c8a81e
docs: add README for MCP integration and implementation summary
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- Added `README.md` outlining how MCP integration was achieved
- Includes details to communicate implementation decisions and task fulfillment
3 months ago
db5ccd4a24
feat: implement multi-agent MCP architecture with math tools
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- Created proper MCP-compatible `math_server.py`
- Set up `test_integration.py` with multi-agent system structure
- Updated `.replit` config for seamless client-server testing
3 months ago
d30ca92421
chore: set model name to 'gpt-4o-mini' in server and test configs
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- Updated `math_server.py` and `test_integration.py` to explicitly use 'gpt-4o-mini'
- Ensures consistent model configuration across test and runtime environments
3 months ago
3fe1ec1581
fix: resolve MCP integration and agent response handling issues
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- Fixed server and agent configuration in `math_server.py` and `test_integration.py`
- Improved response flow when user input is missing or malformed
3 months ago
61f92562eb
fix: adjust agent output formatting and math server config
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- Improved output formatting in `test_integration.py` for clarity
- Updated `math_server.py` configuration for consistent runtime behavior
3 months ago
7c00cf155d
feat: support both Swarms and OpenAI API keys in integration test
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- Modified `test_integration.py` to dynamically use either Swarms or OpenAI key
- Enables flexible backend switching for agent API calls
3 months ago
ef2abb0136
fix: update MCP server config and add API key support
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- Fixed configuration issues in `math_server.py`
- Integrated API key handling for secure server access
3 months ago
a418c6f782
feat: enhance test integration with timestamped logging and request workflow
3 months ago
64c79523f3
fix: finalize MCP server configurations and resolve model warnings
3 months ago
f495299785
fix: update server configuration and add graceful shutdown to integration test
3 months ago
e051e2d1a6
fix: resolve FastMCP server configuration and runtime workflow issues
3 months ago
04ed17d59e
chore: configure MCP servers to run in parallel with proper networking
3 months ago
c4c81a4767
feat: set up interactive multi-agent MCP test environment with multi-server coordination
3 months ago
4e457e3bcc
fix: correct MCP server configuration to comply with FastMCP API
3 months ago
1ac9c5702a
fix: correct port configuration for MCP servers to match FastMCP API
3 months ago
6954a9ace4
feat: set up multiple MCP servers and integrate with multi-agent test system
3 months ago
10e056a05e
test: enhance MCP integration test with tool discovery and user guidance
3 months ago
2e2ebc40c8
fix: update MCP server and client integration based on FastMCP and Swarms guidelines
3 months ago
d71030859d
fix: improve MCP server and test integration with robust error handling
...
- Enhanced `math_server.py` to handle invalid tool requests and unknown inputs gracefully
- Updated `test_integration.py` to include edge case scenarios for validation
- Ensured agents dynamically discover available tools and respond accordingly
3 months ago
d7c861604b
feat: create MCP server using FastMCP and set up integration test
3 months ago
99a277f92b
deployment solutions
3 months ago
4f209580de
various bug fixes and removed mcp and other optimizations
3 months ago
b4f59aad40
llama 4 docs
4 months ago
9e52aec4a2
example root cleanup
4 months ago
a8b51f3150
vllm docs and cleanup
4 months ago
09159905b0
Merge pull request #800 from ascender1729/feature/vllm-support
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Add vLLM support with wrapper and example
4 months ago
5af454020a
[7.6.3] -- [FEAT][Agent.run() acceleration] [FIX][Groupchat]
4 months ago
baf163ca45
Add vLLM support with wrapper and example
4 months ago
9cb2500e58
new reasoning agents -- reflexion -- agent judge -- docs
4 months ago
9c78b39291
structured outputs example
4 months ago
9b07f448ae
clean up api route docs
4 months ago
0171ddd3ae
feat -- ire agent ++ feat -- consistency agent
5 months ago
5477635441
updated swarms docs
5 months ago
c20f40216a
[fix][concurrentworkflow with entire history output with all of the agent's outputs
5 months ago
a0acc1a18e
cleanup
5 months ago
db00b43c7b
cuda_swarm -> examples
5 months ago
506d11601c
swarms docs ui chat gradio
5 months ago
928e1ecf45
[7.1.7] [cleanup] [no clusterops] [majorityvoting fix]
5 months ago
fb494267eb
cleanup
6 months ago
de0ed03454
example cleanup
6 months ago
2e6b2df013
docker fix
6 months ago
e7daefa610
[docs][swarms-platform]
6 months ago
630a7826b8
[cleanup][un-used tool files]
6 months ago
0e95f1c839
[DOCS][Update]
6 months ago
66d9df1897
Imporve the UX of CLI and Add onboard examples
7 months ago
f69c25a454
[CLEANUP][EXAMPLES]
10 months ago
75938ae274
[FEAT][SwarmRouter in YAML]
10 months ago
520bd5f6c2
[CLEANUP]
10 months ago
ef41e7e98c
[EXAMPLES CLEANUP]
10 months ago
dae3856528
[EXAMPLES CLEANUP]
10 months ago
80490b6c08
[README]
10 months ago
fe646cc2fc
[FEAT][SwarmRouter]
10 months ago
50e3c050a4
[FEAT][SwarmRouter]
10 months ago
8ecd179211
[CLEANUP]
10 months ago
e22a367d9d
[FEAT][CLU][Generate Prompts]
10 months ago
087d45f01b
[FEAT][CLI] [DOCS][CLI]
10 months ago
49498d829e
[CLEANUP]
10 months ago
6be0db2c16
[UPDATED DOCS]
10 months ago
6be667bba4
[DOCS CLEANUP]
10 months ago
edc293cb6f
[CLEANUP]
10 months ago
c5eab56eff
[CLEANUP]
10 months ago
989e35aaa8
[YAML]
10 months ago
c254ec1742
[DOCS]
10 months ago
bd187f98ac
[FIX TRACK AGENT]
10 months ago
8e0eceefee
Delete examples/agents/o1_preview 2.py
10 months ago
d6ce848d72
[SWARM MODELS MIGRATION]
10 months ago
ddd2c01af3
[DOCS][CLEANUP]
10 months ago
b73be05953
[DOCS][CLEANUP]
10 months ago
ab8e97709f
[EXPERIMENTAL]
10 months ago
93b6ee71f4
[EXPERIMENTAL]
10 months ago
44858aa572
[CLEANUP]
10 months ago
5d112d0358
[CLEANUP]
10 months ago
46726f9974
[CLEANUP][Models]
10 months ago
06488efc53
[CLEANUP]
10 months ago
d76ee3d895
[CONTRIBUTING]
10 months ago
13f45be8ad
[5.6.8]
10 months ago
10b92ec6c3
reorganizing placement of rearrange_swarm example in examples folder
11 months ago
92675ef081
adding NON-BREAKING/BACKWARDS-COMPATIBLE support for LangChain's v1 astream events to the AgentRearrange & Agent classes PLUS added an example of how to use it
11 months ago
7204f0edb4
[README]
11 months ago
d01d24e9c0
[FEAT][SpreadSheetSwarm] [FEAT][TaskQueueSwarm]
11 months ago
Pavan Kumar
Kye Gomez
Kye Gomez
ascender1729
Chethan UK
Your Name
tad dy
Kye Gomez