What is agent-squad-python?

A guide to the agent-squad Python package, which coordinates several AI assistants in Python programs. It explains when to use one assistant, automatic routing between specialists, fixed step-by-step pipelines, team supervision, and responses grounded in tool data.

Use it to build Python applications with specialist assistants, route requests, chain processing steps, delegate work, or keep answers tied to retrieved data.

It helps choose a suitable coordination pattern instead of managing multiple assistants without a clear structure.

agent-squad-python — Skill for Claude Code and Codex by 2FastLabs

About the project

Agent Squad is a framework that routes each user request to an appropriate specialized AI agent while preserving conversation context. It is used to build multi-agent applications in Python, TypeScript, or Swift, with support for custom agents and pre-built integrations.

2FastLabs/agent-squad · 7,789 stars · on GitHub · 2fastlabs.github.io

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.

Any agent

npx skills add 2FastLabs/agent-squad --skill python

Clone the repo

git clone --depth 1 https://github.com/2FastLabs/agent-squad

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/2fastlabs/agent-squad/python/github.svg)](https://agentmods.dev/skills/2fastlabs/agent-squad/python)

Your own site

<a href="https://agentmods.dev/skills/2fastlabs/agent-squad/python"><img src="https://agentmods.dev/badge/skills/2fastlabs/agent-squad/python/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/2fastlabs/agent-squad/python"><img src="https://agentmods.dev/badge/skills/2fastlabs/agent-squad/python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,697 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00113	$0.04697
Opus 5.5	$0.00045	$0.01879
Sonnet 5.5	$0.00023	$0.00939
Haiku 4.5	$0.00011	$0.00470

Measured 1mo ago against content hash c16cc751be30, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-squad-python 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 1mo ago.

The scan reads SKILL.md. This mod also ships 53 executable files (setup.py, src/agent_squad/__init__.py, src/agent_squad/agent_overlap_analyzer.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

python/SKILL.md · 410 lines

How it starts

The opening of the file, as written. The whole thing — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agent-squad Python — assistant guide

Async-first, dependency-optional multi-agent orchestration framework (Python 3.11+). This is a guide and a map — not an API reference. Read exact signatures from the source (python/src/agent_squad/) and the docs site (docs/src/content/docs/); this file tells you what to use, when, and what to watch out for.

When to use what

One assistant — a single Agent subclass; no orchestrator needed, call process_request directly.
Several specialists — multiple agents + an AgentSquad orchestrator; the classifier routes each turn to the right agent automatically.
Answers must not drift from data (prices, balances, live stock) — GroundedAgent: a gatherer LLM calls tools and sees raw results but never speaks to the user; an isolated presenter LLM writes the reply grounded only on curated facts.
Fixed pipeline — ChainAgent: routes the output of one agent as the input to the next, sequentially.
Team coordination — SupervisorAgent: a lead BedrockLLMAgent or AnthropicAgent delegates to a team of sub-agents via an internal tool loop, maintaining shared context. Can itself be registered in an AgentSquad.
External tool servers — MCPToolProvider (requires agent-squad[mcp]) connects any number of MCP servers (stdio or SSE) and makes their tools available to any agent.

How to install

All third-party integrations are optional extras — never forced on users who don't need them.

pip install agent-squad                  # core only (no LLM runtime)
pip install "agent-squad[aws]"           # + boto3 — BedrockLLMAgent, BedrockClassifier, DynamoDbChatStorage, etc.
pip install "agent-squad[anthropic]"     # + anthropic SDK — AnthropicAgent, AnthropicClassifier
pip install "agent-squad[openai]"        # + openai SDK — OpenAIAgent, OpenAIClassifier
pip install "agent-squad[sql]"           # + libsql-client — SqlChatStorage (Turso/libSQL)
pip install "agent-squad[strands-agents]"# + strands-agents — StrandsAgent
pip install "agent-squad[dakera]"        # + dakera — DakeraRetriever
pip install "agent-squad[mcp]"           # + mcp — MCPToolProvider
pip install "agent-squad[all]"           # everything except strands-agents

Read the full file on GitHub · 410 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

1mo ago First seen · 410 lines · 113 tokens per session scan A c16cc751be30

Subscribe to this mod's changes

agent-squad-python is a skill published in the GitHub repository 2FastLabs/agent-squad (7,789 stars, last pushed 8d ago), licensed Apache-2.0. It adds 113 tokens to every session and 4,697 once invoked, about $0.0005 per session on Opus 5.5. 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.

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