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.
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.
git clone --depth 1 https://github.com/enricoros/big-AGIWrote 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.
[](https://agentmods.dev/commands/enricoros/big-agi/update-models-anthropic)<a href="https://agentmods.dev/commands/enricoros/big-agi/update-models-anthropic"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-anthropic/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/enricoros/big-agi/update-models-anthropic"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-anthropic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00010 | $0.00836 |
| Opus 5 | $0.00005 | $0.00418 |
| Sonnet 5 | $0.00002 | $0.00167 |
| Haiku 4.5 | $0.00001 | $0.00084 |
Grade A, and why
update-models-anthropic 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 10d 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 `ANTHROPIC_API_KEY`, scan the served model list as ground-truth for what's new/available and cross-check the docs above: `curl https://api.anthropic.com/v1/models What it actually says
Update src/modules/llms/server/anthropic/anthropic.models.ts with latest model definitions.
Reference files (for context only, do not modify):
src/modules/llms/server/llm.server.types.tssrc/modules/llms/server/models.mappings.tssrc/common/stores/llms/llms.parameters.ts
Workflow: Start with recent changes, then verify the full model list.
Primary Sources (append .md to any path for clean markdown):
- Recent changes: https://platform.claude.com/docs/en/release-notes/overview.md
- Models & IDs: https://platform.claude.com/docs/en/about-claude/models/overview.md
- Pricing (base, cache, batch, long context): https://platform.claude.com/docs/en/about-claude/pricing.md
- Deprecations & retirement dates: https://platform.claude.com/docs/en/about-claude/model-deprecations.md
- Its "tentative retirement date" for an active model is exactly launch + 1 year, so it
cross-checks
pubDate. Prefer it and the release-note heading over the/v1/modelscreated_at, which can predate the announcement by a few days.
- Its "tentative retirement date" for an active model is exactly launch + 1 year, so it
cross-checks
Discovering feature docs: The release notes and models overview markdown
contain inline links to feature-specific pages (thinking modes, effort,
context windows, what's-new pages, etc.). When a new capability is
referenced, follow those links - append .md to get markdown. Examples of
pages you might discover this way:
about-claude/models/whats-new-*- per-generation changes (e.g.whats-new-opus-5)build-with-claude/extended-thinking- manual thinking budget configurationbuild-with-claude/effort- effort levels + per-model availabilitybuild-with-claude/thinking,build-with-claude/thinking-steering-and-cost- adaptive thinkingbuild-with-claude/thinking-troubleshooting#supported-models- per-model thinking/effort matrixagents-and-tools/tool-use/tool-reference- per-tool model support and tool versions
Fallback web pages (crawl if .md paths break or structure changes):
- https://platform.claude.com/docs/en/about-claude/models/overview
- https://platform.claude.com/docs/en/about-claude/pricing
- https://platform.claude.com/docs/en/release-notes/overview
- https://claude.com/pricing
Fallbacks if blocked: Check the Anthropic TypeScript SDK at https://github.com/anthropics/anthropic-sdk-typescript, or web-search for "anthropic models latest pricing" / "anthropic latest models".
Live endpoint (extra signal): If .env.api-keys has ANTHROPIC_API_KEY, scan the served model list as ground-truth for what's new/available and cross-check the docs above: curl https://api.anthropic.com/v1/models -H "x-api-key: $ANTHROPIC_API_KEY" -H 'anthropic-version: 2023-06-01'. Never commit or echo the key.
Important:
- Review the full model list for additions, removals, and price changes
- For new models: check which
parameterSpecsare needed (thinking mode, effort levels, 1M context, skills, web tools) by reading the linked feature docs and comparing with existing model entries - When thinking/effort semantics change between generations (e.g. adaptive vs manual thinking), document in comments
- Minimize whitespace/comment changes, focus on content
- Preserve comments to make diffs easy to review
- Flag broken links or unexpected content
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.
- 10d ago First seen · 56 lines · 10 tokens per session scan A ee7938999df8
update-models-anthropic is a command published in the GitHub repository enricoros/big-AGI (7,118 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 836 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.
Other commands, from other repositories
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echo-analyst
Use the @echo-analyst agent to surface requirement gaps and assumptions for the following: $ARGUMENTS.
agi-improve
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agi-research
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