Anthropic Parallel API Processor Overview This tool is designed to generate datasets faster and more cost-effectively by parallel calling the Anthropic API with optional caching for Claude. It's perfect for processing large volumes of requests while respecting rate limits. A key feature of this processor is its approach to token estimation. Since there's no open-source tokenizer model available for the new Claude models, we use an older tokenizer to make initial estimates. Once we receive a response from the API, we update these estimates with the actual token usage.
| Stars | 15 |
| Forks | 2 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 44.75/100 |
| Last Updated | 2024-10-01 |
| Created | 2024-09-17 |
| Platforms | claude-code, python |
| Est. Tokens | ~21k |
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anthropic-parallel-calling is Faster and cheaper! parallel processing of Anthropic API requests, optimizing for speed, cost-efficiency, and rate limit compliance.. It is categorized as a AI 工具 with 15 GitHub stars.
anthropic-parallel-calling is primarily written in Python. It covers topics such as anthropic, api, claude.
You can find installation instructions and usage details in the anthropic-parallel-calling GitHub repository at github.com/milistu/anthropic-parallel-calling. The project has 15 stars and 2 forks, indicating an active community.
anthropic-parallel-calling is released under the MIT license, making it free to use and modify according to the license terms.