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.
npx agentmods add agents/mozilla-ai/any-agent/modelsgit clone --depth 1 https://github.com/mozilla-ai/any-agentWhat 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 | $0.00000 | $0.00279 |
| Opus 5 | $0.00000 | $0.00139 |
| Sonnet 5 | $0.00000 | $0.00056 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
models scanned grade A with 0 findings 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Model Configuration
Overview
Model configuration in any-agent is designed to be consistent across all supported frameworks. We use any-llm as the default model provider, which acts as a unified interface allowing you to use any language model from any provider with the same syntax.
Configuration Parameters
The model configuration is defined through several parameters in AgentConfig:
The model_id parameter selects which language model your agent will use. The format depends on the provider.
The model_args parameter allows you to pass additional arguments to the model, such as temperature, top_k, and other provider-specific parameters.
The api_base parameter allows you to specify a custom API endpoint. This is useful when:
- Using a local model server (e.g., Ollama, llama.cpp, llamafile)
- Routing through a proxy
- Using a self-hosted model endpoint
The api_key parameter allows you to explicitly specify an API key for authentication. By default, any-llm will automatically search for common environment variables (like OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.).
See the AnyLLM Provider Documentation for the complete list of supported providers.
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.
- yesterday First seen · 24 lines · 0 tokens per session scan A c2ada1944c3c
models is an agent published in the GitHub repository mozilla-ai/any-agent (1,197 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 279 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
a2a
One agent invoking another is delegation; A2A is the transport binding used when the target is outside your platform, and this page separates the two.
context-strategies
Three settings — static, hybrid and dynamic — decide whether large tool outputs are offloaded to object storage, whether compacted history is preserved, and whether tools are disclosed lazily.
acp-developer
Agent-to-Agent (A2A) protocol developer for building interoperable agent systems using Google's open A2A standard with JSON-RPC, task lifecycle, and streaming.
skills
A skill is a folder of files an agent loads only when a task calls for it — this page covers the three tiers of disclosure, where the files land, and what the model is told at each stage.
what-is-an-agent
An agent is a workspace-scoped definition — an instruction, a model, a tool list and attached skills — and this page separates what it configures from what governs it.
AGENTS
Agent Developer — objective: Implement higher-level behaviors by composing tools into responsible, auditable agents.