Research
Hello everyone! We're thrilled to announce some fantastic updates that significantly enhance our frameworks functionality, check out the details below!
We've just added the Workforce Module: By doing so, we allow users to solve one complex task using multiple agents with role playing. Thanks to our contributors WHALEEYE and yiyiyi0817 for working on this. 🤝 Explore more here.
We've added a Task Channel: By doing so, we ensure enhanced coordination and efficient task management across different workforces. Thanks to our contributor onemquan for making this happen. 🤝 Explore more here.
We've integrated Azure's OpenAI services: By doing so, this expands your options for accessing OpenAI’s services. Thanks to our contributor onemquan for this integration. 🤝 Explore more here.
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We've added a self-setting token counter feature: This enhancement provides users the flexibility to specify custom token counters, leading to better integration with various language models and precise token management. Thanks to our contributor lllllyh01 for implementing this. 🤝 Explore more here.
We've just integrated vLLM: By doing so, we have enhanced our framework with a high-throughput, memory-efficient inference engine, enabling faster and more efficient deployments of large language models. Thanks to our contributor zechengz for this integration. 🤝 Explore more here.
We've integrated ipython kernel: By doing so, we provide a versatile tool capable of executing both Python and Bash code strings. Thanks to our contributor onemquan for this update. 🤝 Explore more here.
We've integrated OpenAI's DALL-E: By doing so, we enhance our agents with image generation based on text inputs. Thanks to our contributor willshang76 for making this happen. 🤝 Explore more here.
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We've improved the Dockerfile quality: By enhancing Docker installation processes and introducing volume mounting in Docker containers, we ensure changes in the working directory inside the container are synced to the CAMEL repo on the host system. This setup allows for development without losing progress when using docker. Thanks to our contributor WHALEEYE for working on this update. 🤝 Explore more here.
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