DeepSeek API
The DeepSeek API is a large language model interface service provided by DeepSeek, allowing developers and enterprises to access its proprietary language model capabilities through standardized API calls. The service supports various natural language processing tasks including text generation, dialogue, and code completion, and offers model versions of different scales for users to select according to their needs. It is suitable for integrated development in applications such as intelligent customer service, content generation, and programming assistance.
Core Facts
Timeline (last 90 days)
Harness itself does not include model inference capabilities and requires calling DeepSeek's online API with a configured API Key.
Using the DeepSeek API for the first time requires topping up the account with sufficient balance; otherwise, tests will fail directly.
DeepSeek's API uses a per-token billing model, where approximately 1.5–2 Chinese characters correspond to one token.
DSH itself does not contain large model weights; it is only an agent scheduling framework, with inference handled by a remote API (such as the DeepSeek API or other OpenAI-compatible interfaces).
The minimum configuration for running only DSH with the cloud-based DeepSeek API is a dual-core or higher CPU, 4 GB of memory, and more than 1 GB of free disk space; the daily recommended configuration is an i5/R5 quad-core with 8 GB or more of memory.
The DeepSeek API plays two roles in this project: a dialogue generation engine and a memory value evaluator.
This project's backend is implemented using Python, a web framework, the DeepSeek API, and file reading.
When calling DeepSeek V4.1 Flash, developers do not need to change the existing base_url; they only need to set the model name to deepseek-v4.1-flash-expires-on-0910.
Claude Code can be deployed domestically without VPN tools via the DeepSeek API.
All Facts (9)
DeepSeek API Key创建后只显示一次，之后无法再查看
80%UnverifiedUsing the DeepSeek API for the first time requires topping up the account with sufficient balance; otherwise, tests will fail directly.
50%UnverifiedHarness itself does not include model inference capabilities and requires calling DeepSeek's online API with a configured API Key.
50%UnverifiedDeepSeek's API uses a per-token billing model, where approximately 1.5–2 Chinese characters correspond to one token.
50%UnverifiedDSH itself does not contain large model weights; it is only an agent scheduling framework, with inference handled by a remote API (such as the DeepSeek API or other OpenAI-compatible interfaces).
50%UnverifiedThe minimum configuration for running only DSH with the cloud-based DeepSeek API is a dual-core or higher CPU, 4 GB of memory, and more than 1 GB of free disk space; the daily recommended configuration is an i5/R5 quad-core with 8 GB or more of memory.
50%UnverifiedThis project's backend is implemented using Python, a web framework, the DeepSeek API, and file reading.
50%UnverifiedThe DeepSeek API plays two roles in this project: a dialogue generation engine and a memory value evaluator.
50%UnverifiedClaude Code can be deployed domestically without VPN tools via the DeepSeek API.
50%