update-models-deepseek

update-models-deepseek is a command for Claude Code from enricoros/big-AGI. It costs 10 tokens per session (448 once invoked), scanned A, original, MIT.

A command for updating DeepSeek model definitions with current model names, versions, prices, limits, and reasoning settings in a codebase.

In plain words
What is it for?
Use it to update the specified DeepSeek model file from DeepSeek documentation, including release notes, model lists, pricing, and reasoning-effort mappings.
Why use it?
It helps prevent incorrect model information when DeepSeek changes model versions, pricing, capabilities, or thinking-mode options.

Command for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to update the specified DeepSeek model file from DeepSeek documentation, including release notes, model lists, pricing, and reasoning-effort mappings.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/enricoros/big-agi/update-models-deepseek
About the project

Big-AGI is an open-source workspace for using multiple AI models through chat and other AI functions. It is intended for engineers, founders, researchers, and other users who want to work with AI personas, model comparisons, image generation, voice, documents, and code-related features. The catalogue entries provide commands, instructions, and a skill for working with Big-AGI.

enricoros/big-AGI · 7,114 stars · on GitHub · big-agi.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/enricoros/big-AGI

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for update-models-deepseek

README.md
[![agentmods](https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-deepseek.svg)](https://agentmods.dev/commands/enricoros/big-agi/update-models-deepseek)
Your own site
<a href="https://agentmods.dev/commands/enricoros/big-agi/update-models-deepseek"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-deepseek.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 448 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00010 $0.00448
Opus 5 $0.00005 $0.00224
Sonnet 5 $0.00002 $0.00090
Haiku 4.5 $0.00001 $0.00045

Measured 8d ago against content hash f27761fd679b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

update-models-deepseek scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**Live endpoint (extra signal):** If `.env.api-keys` has `DEEPSEEK_API_KEY`, scan the served model list as ground-truth for what's new/available and cross-check the docs above: `curl https://api.deepseek.com/models -H "A
.claude/commands/llms/update-models-deepseek.md · 25 lines

What it actually says

Update src/modules/llms/server/openai/models/deepseek.models.ts with latest model definitions.

Reference src/modules/llms/server/llm.server.types.ts and src/modules/llms/server/models.mappings.ts for context only. Focus on the model file, do not descend into other code.

Primary Sources: (trailing slash required - without it Docusaurus 302s)

Note: DeepSeek frequently swaps weights in place behind an unchanged, undated model id, and releases new versions with significant pricing changes. Always check release notes first.

Fallbacks if blocked: Search "deepseek api latest pricing", "deepseek latest models", "deepseek models list" or search GitHub for latest model prices and context windows

Live endpoint (extra signal): If .env.api-keys has DEEPSEEK_API_KEY, scan the served model list as ground-truth for what's new/available and cross-check the docs above: curl https://api.deepseek.com/models -H "Authorization: Bearer $DEEPSEEK_API_KEY". Never commit or echo the key.

Important:

  • Review the full model list for additions, removals, and price changes
  • Minimize whitespace/comment changes, focus on content
  • Preserve comments to make diffs easy to review
  • Flag broken links or unexpected content
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 25 lines · 10 tokens per session scan A f27761fd679b

Subscribe to this mod's changes

update-models-deepseek is a command published in the GitHub repository enricoros/big-AGI (7,114 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 448 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.