Z.AI · GUIDA AL MODELLO PER HERMES

GLM-5-Turbo API per Hermes Agent: attività e prezzo

GLM-5-Turbo is designed for work that does not end after one answer. It is a strong fit for Hermes workflows that call tools, follow schedules, keep state, and continue through a long chain of actions.

Apri Playground →Apri Dashboard →

Flusso Hermes Agent che collega attività GLM, file, strumenti e controllo umano

Dati tecnici per Hermes

Persistent workflow agent

These facts show where GLM-5-Turbo fits inside Hermes and which details change the cost and review path.

InputText and tool state

OutputText and tool calls

Best rolePersistent workflow Agent

ToolsMCP, scheduled jobs, external actions

Price noteBudget for every tool round, not only the first prompt

Typical jobOpenClaw, MCP, queues, and scheduled work

Limiti importanti

Hermes owns the clock, retries, and permissions; the model does not run a schedule by itself.
Long chains can spend more tokens than a one-shot answer.
Put an approval step before money, customer data, or production changes.

Controlli prima di avviare l’Agent

Save the task brief and the last successful output.
Set retry limits and a clear stop condition.
Log every tool call and its result.
Require approval for external side effects.

Scegli in base al lavoro, non solo al nome.

Use it for persistent work

Scheduled jobs, MCP calls, OpenClaw tasks, and workflows that need repeated tool use.

Do not use it for one line answers

A small text model is cheaper for short questions, classification, and simple extraction.

A simple GLM-5-Turbo routing rule

If a task must wait, retry, call MCP tools, or remember earlier results, use GLM-5-Turbo. If it ends after one response, use a smaller model.

Attività adatte a Hermes

Scegli il ruolo in base al lavoro

I modelli GLM non devono svolgere tutti lo stesso lavoro. Scegli il percorso dopo aver definito il compito.

Scheduled research

Run a daily search, collect sources, compare changes, and send a short report.

MCP workflows

Discover allowed tools, call them in order, and keep the result in a structured format.

Operations automation

Check a queue, update records, and report failed steps without losing the task state.

Long content jobs

Move from outline to draft to review while keeping the original brief and constraints.

The job runs every dayGLM-5-Turbo with a saved brief

It can continue from yesterday’s result instead of starting over.

The job uses several MCP toolsGLM-5-Turbo as the worker

It can choose the next allowed tool and keep the chain readable.

The job is one short answerUse a smaller model

Continuity is not worth the extra cost for a one-turn task.

Flusso Hermes

The model keeps the chain moving; Hermes keeps it safe.

Hermes controls permissions, schedules, retries, and approvals. GLM-5-Turbo handles instruction decomposition, tool calls, and progress across steps.

01 · Schedule

Hermes starts the task at the right time and loads the saved brief.

02 · Call tools

GLM-5-Turbo selects the next allowed tool and explains the expected result.

03 · Continue

Hermes stores outputs and lets the model continue instead of starting over.

04 · Approve

A person reviews actions that can change money, data, or production systems.

Flusso di ricerca GLM da file e grafici a un report verificato

Practical case

A research team turns a daily market check into a controlled agent job

Hermes runs every morning. GLM-5-Turbo reads the saved research brief, calls the approved search and document tools, compares the new results with yesterday, and writes a short change report. If a source is missing or a tool fails, Hermes records the problem instead of hiding it. A human approves any recommendation before it is sent to customers.

Cosa fa Hermes in questo caso

01Schedule

Hermes starts the market check every morning with the saved brief.

02Collect

GLM-5-Turbo calls the approved search and document tools.

03Compare

Hermes stores today’s findings and asks for changes against yesterday.

04Approve

A human reviews recommendations before they reach customers.

Risultato

The team gets a repeatable daily report with a visible error log instead of a silent failed automation.

Controllo umano

Review failed tool calls, source quality, external messages, and any action that changes records or sends money.

Scelta del costo

Use Turbo when continuity is worth more than a cheap first answer.

A persistent workflow may call several tools and use more tokens than a single prompt. The value comes from keeping the chain coherent and reducing manual restarts. Use a cheaper model for the small steps that do not need planning.

Un semplice esempio di costo

A daily workflow with six tool calls costs more than a single prompt. It can still be cheaper for a team when the saved state removes manual restarts and repeated setup.

Use GLM-5-Turbo in Hermes

Select glm-5-turbo, give Hermes the required MCP or tool permissions, and keep an approval step before external side effects.

Apri Playground →Ottieni API Key →

curl https://api.hermes-ai.net/api/v1/chat/completions \
  -H "Authorization: Bearer $HERMES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5-turbo",
    "messages": [{"role":"user","content":"Run the approved task and return a short verification report."}]
  }'

FAQ

Domande frequenti

Is GLM-5-Turbo only for OpenClaw?

It was optimized for OpenClaw style tasks, but the same strengths help Hermes workflows that use tools, schedules, and long execution chains.

Does it support MCP?

The official documentation lists MCP support. Hermes should still restrict which tools the model can call.

Can it run a scheduled job by itself?

Hermes owns the schedule. The model performs the task after Hermes starts it.

How do I handle failed tools?

Save the error, retry only when safe, and ask the model to return the failed step in its final report.

Should I use it for simple chat?

Usually not. A smaller model is a better fit for short, low risk questions.

Leggi la documentazione ufficiale ↗Apri Playground ↗

HERMES API · GLM-5-Turbo

Use GLM-5-Turbo in Hermes

Select glm-5-turbo, give Hermes the required MCP or tool permissions, and keep an approval step before external side effects.

Apri Playground →Apri Dashboard →