{
"$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/dev/assets/oh-my-opencode.schema.json",
"agents": {
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"model": "opencode-go/kimi-k2.7-code",
"fallback_models": [
{
"model": "opencode-go/glm-5.2"
},
{
"model": "zai-coding-plan/glm-5.2"
},
{
"model": "openai/gpt-5.6-sol",
"variant": "medium"
}
]
},
"hephaestus": {
"model": "openai/gpt-5.6-sol",
"variant": "medium",
"fallback_models": [
{
"model": "opencode-go/deepseek-v4-pro",
"variant": "max"
}
]
},
"oracle": {
"model": "opencode-go/deepseek-v4-pro",
"variant": "max",
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"model": "opencode-go/glm-5.2"
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"model": "zai-coding-plan/glm-5.2"
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{
"model": "openai/gpt-5.6-sol",
"variant": "high"
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"librarian": {
"model": "opencode-go/deepseek-v4-flash",
"fallback_models": [
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"model": "opencode-go/deepseek-v4-flash"
},
{
"model": "opencode-go/qwen3.5-plus"
},
{
"model": "opencode-go/minimax-m2.7"
}
]
},
"explore": {
"model": "opencode-go/deepseek-v4-flash",
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"model": "opencode-go/deepseek-v4-flash"
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{
"model": "opencode-go/qwen3.5-plus"
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]
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"multimodal-looker": {
"model": "opencode-go/kimi-k2.7-code",
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"model": "opencode-go/deepseek-v4-pro"
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{
"model": "zai-coding-plan/glm-4.6v"
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"prometheus": {
"model": "openai/gpt-5.6-sol",
"variant": "high",
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"model": "opencode-go/deepseek-v4-pro",
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{
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{
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"metis": {
"model": "opencode-go/deepseek-v4-pro",
"variant": "max",
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"model": "opencode-go/glm-5.2"
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"model": "zai-coding-plan/glm-5.2"
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"variant": "high"
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"momus": {
"model": "opencode-go/deepseek-v4-pro",
"variant": "max",
"fallback_models": [
{
"model": "opencode-go/glm-5.2"
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{
"model": "zai-coding-plan/glm-5.2"
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{
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"variant": "xhigh"
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"atlas": {
"model": "opencode-go/deepseek-v4-pro",
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{
"model": "opencode-go/minimax-m2.7"
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"sisyphus-junior": {
"model": "opencode-go/deepseek-v4-pro",
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"deep": {
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"artistry": {
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"quick": {
"model": "opencode-go/deepseek-v4-flash",
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"model": "opencode-go/deepseek-v4-flash"
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"model": "opencode-go/deepseek-v4-flash",
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{
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{
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{
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},
{
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{
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"writing": {
"model": "opencode-go/kimi-k2.7-code",
"fallback_models": [
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}
} @imnpc sisyphus 用的 opencode-go/kimi-k2.7-code 就不便宜,输出四刀了,我一个接口需求没做完就没额度了。至少在 opencode-go 的套餐上是不够用的。 @nightwitch 确实,没啥特殊的需求,我只是不想被 agent 厂商绑架没有选择 cc 、codex,选择了 opencode ,但是纯 op 不是很好用就用了 omo 了 omo 是特别重的一个 harness ,只有在大型项目下才好用(减少漂移),
另外 opencode go 套餐本来就给的少,那更不经用了。然后你还选了配额消耗大的模型做 sisyphus ( kimi k2.7 code ),如果要用 go 做主力考虑小米的模型和 deepseek 的,这两是量给的最慷慨能力又算在线的 我让网页版的 openai 和 claudecode 帮我生成了一个,优先使用 deepseek flash 和 mino 套餐,用的时候还好,有些复杂功能会自动切换到套餐少的部分 omo 不好用,或者说整体这种企图靠 prompt 来约束的方案就不靠谱。更多是靠 base model 本身的能力,以及适当的问题拆分。
花费了几百 B 得到的结论。 @maolon 也就说 kimi k2.7 code 换 Mimo 其实 Mimo 我用下来还挺满意的。
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