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Add mcp supabase_github migration example #127
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Haniehz1
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Add mcp supabase_github migration example #127
Haniehz1
wants to merge
316
commits into
lastmile-ai:main
from
Haniehz1:add-supabase-github-migration
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…ic-agent example: add marimo notebook (basic mcp agent)
Document how to serve as a web app
example: Update marimo notebook README
Add Streamlit MCP RAG Agent example
…gh MCPApp to Context
…Message types, add MCP-model provider type converters, and add a "Done" agent for Swarm workflow
…best model to use
* fix examples * remove logger and add comment
* Add azure-ai-inference package and update dependencies in pyproject.toml and uv.lock * Add AzureSettings schema and configuration for MCP Agent * Add AzureAugmentedLLM class for running Azure models * Fix AzureAugmentedLLM generate_str() to append tool_calls * Add api_version field to AzureSettings and update AzureAugmentedLLM initialization * Add example usage and configuration for MCP Azure agent * Enhance AzureAugmentedLLM to differentiate tool results in generate_str() * Fix AzureAugmentedLLM generate_structured() to handle request_params properly. * Update README and configuration files to clarify api_version usage for Azure * Refactor dependency management in pyproject.toml to separate azure-ai-inference into optional dependencies * Refactor AzureAugmentedLLM to use a ChatResponseMessage subclass that has optional content * Fix typo in default_model name in mcp_agent.config.yaml * Update README to provide example configurations and clarify api_version usage for Azure endpoints * Add missing closing bracket for bedrock dependencies in uv.lock
* Create README.md * Adding github to slack agent example * Update README.md * Adding extra info on setting up a slack bot * Remove unused variable * Removing unnecessary shutdown of logging * Removing unused import
…astmile-ai#95) * fix: update tool result content formatting in AnthropicAugmentedLLM * fix: include type attribute in tool result content blocks * Enhance tool result content conversion * feat: add conversion method for MCP tool results to LLM input type * feat: refactor tool result handling in AnthropicAugmentedLLM
…n AnthropicAugmentedLLM (lastmile-ai#99) * Fix: Add final response prompt when max_iterations is reached with tool_use * fix: Enhance final prompt message in max iterations scenario --------- Co-authored-by: [email protected] <1gmrfyd2@> Co-authored-by: rocky.mun <[email protected]>
…llow API reference (lastmile-ai#117)
…ai#120) * fix/agent-functions * Remove redundant __aenter__ and initialize
- Modified `execute_tool_call` method in OpenAIAugmentedLLM to convert content list to string - Used "\n".join() to concatenate list items into a single string - This addresses issue lastmile-ai#25 where OpenAI API rejects list-type content - Follows OpenAI API specification requiring content to be string or null - Prevents errors with LLMs like deepseek that strictly validate input format The change ensures compatibility with OpenAI's API requirements which specify: "content can only be a string or null. It cannot be a list, object, or any other type." Co-authored-by: ask <[email protected]>
…i#122) * Update mcp_agent.config.yaml * Updating README for new Github MCP Server
saqadri
requested changes
Apr 16, 2025
async with app.run() as agent_app: | ||
context = agent_app.context | ||
|
||
async with MCPConnectionManager(context.server_registry): |
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You don't need this
Suggested change
async with MCPConnectionManager(context.server_registry): |
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