awdemos

Z.AI Coding Plan — OpenCode Agent Mapping

Quota Cost per Model

Peak hours: 14:00–18:00 UTC+8. Off-peak: all other times. Monthly quota is equivalent to ~15–30× the subscription fee, converted at API pricing rates.

Model	Quota (Peak: 14:00-18:00 UTC+8)	Quota (Off-Peak)	Temporary (thru June)
GLM-5.1	3×	2×	1× off-peak
GLM-5-Turbo	3×	2×	1× off-peak

awdemos

# train_grpo.py
from typing import *
import re
import torch
from datasets import load_dataset, Dataset, load_from_disk
from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer, TrlParser
from dataclasses import dataclass, field

awdemos

# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer

awdemos

I am building a prompt for an LLM (gpt-4o) while building a conversational assistant. The LLM is expected to predict one of the available commands based on the instructions given. Here is the current prompt - 

```
Your task is to analyze the current conversation context and generate a list of actions to start new business processes that we call flows, to extract slots, or respond to small talk and knowledge requests.

These are the flows that can be started, with their description and slots:

transfer_money: send money to friends and family
    slot: transfer_money_recipient (the name of a person)
    slot: transfer_money_amount_of_money (the amount of money without any currency designation)