test_agent_iterator

A placeholder test document for LangChain’s agent-iteration tests. An iterator lets a program receive results one step at a time.

In plain words
What is it for?
It is intended to document or test iterating through agent steps, but the provided material does not say which scenarios it covers.
Why use it?
The supplied document does not describe the tests or behavior in enough detail to explain a specific problem it solves.

Agent

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.

agentmods
npx agentmods add agents/xt765/langchain-chinese-comment/test_agent_iterator
Clone the repo
git clone --depth 1 https://github.com/xt765/LangChain-Chinese-Comment
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 102 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00102
Opus 5 $0.00000 $0.00051
Sonnet 5 $0.00000 $0.00020
Haiku 4.5 $0.00000 $0.00010

Measured 2d ago against content hash b38b5754e3ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

test_agent_iterator 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 2d 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.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • test_chat — 88% identical, 4 lines differ
code_comment/libs/langchain/tests/unit_tests/agents/test_agent_iterator.md · 19 lines

What it actually says

libs\langchain\tests\unit_tests\agents\test_agent_iterator.py

此文档是 libs\langchain\tests\unit_tests\agents\test_agent_iterator.py 的中文注释文档占位符。

功能描述

待补充。该模块主要负责 LangChain 的相关功能实现。

参数说明

待补充。

返回值解释

待补充。

使用示例

待补充。

注意事项

待补充。

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. 2d ago First seen · 19 lines · 0 tokens per session scan A b38b5754e3ad

Subscribe to this mod's changes

test_agent_iterator is an agent published in the GitHub repository xt765/LangChain-Chinese-Comment (20 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 102 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.