PRODUCTION-READY AGENT SOLUTIONS
Build Custom AI Agents that Actually Work in Production
Stop struggling with LLM hallucinations, JSON truncation, and timeout errors. We integrate powerful MCP servers into your AI workflows using OpenAI Agents SDK, CrewAI, and LangChain.
Why Most Agent Demos Fail
We solve the architectural challenges that break standard LLM workflows.
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Large File Handling
No more Base64 context limits. We implement direct-to-cloud presigned URL uploads, completely bypassing the LLM for binary data transfer.
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Async Task Polling
Heavy GPU tasks take time. We design Agents that gracefully handle timeouts by auto-polling task statuses until completion.
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Atomic Tool Design
We refactor complex APIs into atomic MCP tools (like `split_audio`, `clean_audio`) so the Agent never gets confused about which parameters to pass.
Frameworks We Master
OpenAI Agents SDKCrewAILangChainAutoGenDeepSeekAnthropic Claude
Our Production-Ready Workflow
1Python backend requests presigned URL from MCP Server
2Python uploads raw audio directly to Cloudflare R2
3Agent receives only the lightweight
source_key4Agent calls
process_audio via MCP and gets a task_id5Agent auto-polls
check_task_status until the stems are readyReady to build your custom Agent?
Let's integrate audio processing, databases, or web search into your AI product.