@tailored-ai/provider-deepseek

DeepSeek's V4 hybrid models, low-cost and strong. DeepSeek speaks the OpenAI wire format, so chat, streaming, tool calling, and model discovery come straight from core's OpenAIProvider — plus this plugin's one addition, the per-request thinking toggle.

Install

bash

tai plugin install @tailored-ai/provider-deepseek

The installer adds the package to your plugins: list automatically.

Configure

yaml

providers:
  deepseek:
    apiKey: "${DEEPSEEK_API_KEY}"          # https://platform.deepseek.com/api_keys
    defaultModel: "deepseek-v4-flash"
    thinking: false                        # non-thinking: fast, reliable tool calls

agent:
  defaultProvider: deepseek

Per-agent override — keep a local model as the default, reach for DeepSeek where it helps:

yaml

agents:
  researcher:
    provider: deepseek
    model: "deepseek-v4-pro"

Field	Required	Notes
`apiKey`	yes	Use `${DEEPSEEK_API_KEY}` to read from the environment.
`defaultModel`	yes	`deepseek-v4-flash` or `deepseek-v4-pro`.
`thinking`	no	`false` = non-thinking, `true` = thinking. Omit to use the model's native default (the V4 models think by default).
`baseUrl`	no	Defaults to `https://api.deepseek.com`. Override for proxies.

Models

Model	What it is	Tool calling
`deepseek-v4-flash`	V4 hybrid, lower-latency tier. The right default for an agent.	Yes
`deepseek-v4-pro`	V4 hybrid, most capable. For hard problems.	Yes

Both are hybrids: one model that either answers directly (non-thinking) or reasons first (thinking), selected per request by thinking.

thinking: false — snappy, no reasoning tokens, reliable tool calls. The durable version of the old deepseek-chat behavior, and the right default for tool-driven agent work.
thinking: true — reasons before answering; stronger on hard problems, but slower and token-hungrier. Give it a generous maxTokens, or a small budget gets eaten by the reasoning pass and the reply comes back empty with finish_reason: length.

`deepseek-chat` / `deepseek-reasoner`

Those names are the non-thinking and thinking aliases of deepseek-v4-flash, and DeepSeek deprecates them on 2026-07-24. Use deepseek-v4-flash with thinking instead — same model, no deprecation.

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