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glm-delegation

Delegates tasks to Z.ai GLM-5.x via the stock claude binary and an endpoint swap. Use when delegation-core selects GLM or a 1M-token context is need…

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技能内容

Table of Contents

  • [Overview](#overview)
  • [When To Use](#when-to-use)
  • [When NOT To Use](#when-not-to-use)
  • [Prerequisites](#prerequisites)
  • [Quick Start](#quick-start)
  • [Smart Delegation](#smart-delegation)
  • [GLM-Specific Details](#glm-specific-details)
  • [Exit Criteria](#exit-criteria)

GLM Delegation

Overview

GLM ships no CLI of its own. Z.ai serves an Anthropic-compatible

endpoint, so the stock claude binary reaches GLM by changing two

environment variables and nothing else. This is the endpoint-swap

archetype: the redirection is environment, never argv.

GLM-5.3 was released on 2026-08-14 and claims a large coding gain over

GLM-5.2 from post-training alone.

When To Use

  • delegation-core selected glm for the task
  • A 1M-token context is wanted through glm-5.3[1m]
  • A GLM Coding Plan subscription should absorb the work instead of the

Anthropic quota

When NOT To Use

  • ZAI_API_KEY is unset. Verification refuses rather than sending an

unauthenticated request

  • The claude binary is not installed. GLM has no fallback CLI
  • A pinned GLM-5.3 identifier is required in a script that must not

break: see the rollout note below

Prerequisites

Installation

Only the stock Claude Code binary is needed:

npm install -g @anthropic-ai/claude-code

Authentication

export ZAI_API_KEY="<your-zai-key>"

The delegation service builds the child environment from that one

variable. Z.ai requires ANTHROPIC_AUTH_TOKEN, not

ANTHROPIC_API_KEY. Putting the key in the wrong one is the most

common way to get a 401 here, so the service names the correct

variable and the overlay references ${ZAI_API_KEY} rather than

storing a secret.

Quick Start

Using the shared delegation executor

uv run python scripts/delegation_executor.py glm "Review this design" \
  --files docs/

Through the Makefile

make -C plugins/conjure delegate-glm PROMPT='Review this design'

Direct CLI usage

ANTHROPIC_BASE_URL=https://api.z.ai/api/anthropic \
ANTHROPIC_AUTH_TOKEN="$ZAI_API_KEY" \
claude --model glm-5.3 -p "Review this design"

Smart Delegation

glm declares code_execution and large_context strengths and ranks

behind gemini, qwen and minimax in the candidate order. It declares

glm-5.3 as its default, glm-5.3[1m] for large context, and

glm-4.7 for fast response.

GLM-Specific Details

| Property | Value |

|----------|-------|

| Binary | claude (stock) |

| Base URL | https://api.z.ai/api/anthropic |

| Auth variable | ANTHROPIC_AUTH_TOKEN, from ZAI_API_KEY |

| Default model | glm-5.3 |

| Large context | glm-5.3[1m] |

| OpenAI-compatible URL | https://api.z.ai/api/coding/paas/v4 |

The [1m] suffix is what unlocks the 1M-token window. Omitting it is

a documented setup mistake. Pair it with

CLAUDE_CODE_AUTO_COMPACT_WINDOW=1000000 when driving claude

directly.

Two operational notes. Environment changes only take effect in a

freshly launched shell, so an already-open session keeps reaching

Anthropic's real endpoint. And claude shows a first-run trust prompt

when it sees a non-Anthropic base URL. The -p non-interactive form

this service uses does not block on it.

Rollout caveat: at the time of writing, docs.z.ai/devpack/latest-model

documented glm-5.3 while docs.z.ai/guides/llm/glm-5.3 still read

"coming soon" and the base connection page still showed glm-5.2.

GLM_52 stays defined for that reason, and glm-4.7 remains the

fast-response id rather than being promoted on assumption.

The same archetype generalizes: MiniMax, Moonshot/Kimi, DeepSeek and

OpenRouter all expose Anthropic-compatible endpoints, so adding one is

a ServiceConfig with a different base URL.

Exit Criteria

  • [ ] claude resolves on PATH and answers claude --version
  • [ ] ZAI_API_KEY is set, and --verify reports the service

available rather than naming an unset variable

  • [ ] The built command contains no z.ai URL: the endpoint travels in

the child environment, not argv

  • [ ] The child environment carries ANTHROPIC_AUTH_TOKEN, not

ANTHROPIC_API_KEY

  • [ ] Output saved to delegations/glm/YYYYMMDD_HHMMSS.md
  • [ ] This skill ran because delegation-core selected glm

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