ruvnet / deepseek-reason
Reasoning-mode completion against DeepSeek's `deepseek-reasoner` model (R1) via /v1/chat/completions. Surfaces the model's chain-of-thought (`reasoning_content`) separately from the final answer (`content`), so callers can display or discard the CoT without re-parsing. Reads DEEPSEEK_API_KEY; degrades gracefully (exit 0 with status:degraded envelope) when unset or the API is unreachable. Ignores temperature/top_p per DeepSeek's spec for reasoner models.
Wraps DeepSeek's reasoning model so ruflo callers can get an explicit
chain-of-thought back with the final answer, without having to parse it
out of the message content. Same subprocess-invocation shape as the siblingdeepseek-chat skill.
When to use
Multi-step reasoning tasks: proofs, plans, root-cause analysis, hard
bug triage.You want to see the model's thinking (for audit, for training data,
or to sanity-check its final answer).You can tolerate the higher latency and token cost of a reasoner vs
deepseek-chat.
Data handling
The prompt and any --system text are sent over the network to api.deepseek.com, a third party. Do not put secrets, credentials, personal data or proprietary code you are not allowed to share into them. The API key is read from DEEPSEEK_API_KEY in your shell only; never paste it into a prompt, a file or a command line.
Algorithm
Implementation: [`scripts/reason.mjs`](../../scripts/reason.mjs).
- Read
DEEPSEEK_API_KEYfrom env. Degrade gracefully when missing. POST to
/v1/chat/completionswith{ model: 'deepseek-reasoner', messages, max_tokens? }.
Per DeepSeek's docs,temperature/top_pare ignored for reasoner
models — this script does not forward them.- Extract
choices[0].message.contentANDchoices[0].message.reasoning_content. JSON output always includes
reasoning; table mode omits it unless--show-reasoningis passed.reasoningTokens(fromusage.completion_tokens_details.reasoning_tokens)
is surfaced separately so callers can attribute cost.
Example
node plugins/ruflo-deepseek-harness/scripts/reason.mjs \
--prompt "Prove that sqrt(2) is irrational." \
--format table --show-reasoningTable output shows the reasoning block, then the answer. JSON mode returns:
{
"status": "ok",
"model": "deepseek-reasoner",
"content": "sqrt(2) is irrational because …",
"reasoning": "Assume for contradiction that sqrt(2) = p/q in lowest terms …",
"finishReason": "stop",
"usage": {
"promptTokens": 14,
"completionTokens": 812,
"reasoningTokens": 640,
"totalTokens": 826
}
}