Yuan Chenglu (袁成路)
6a0f519d1e
## Problem
When using the opencode-go provider with Xiaomi MiMo models (e.g.
mimo-v2.5, mimo-v2.5-pro), the Hermes agent intermittently fails with:
Error code: 400 - {'error': {'code': '400',
'message': 'Error from provider (Xiaomi): Param Incorrect',
'param': 'text is not set', 'type': ''}}
This occurs specifically when tool results contain multipart content
with image_url parts (e.g. browser screenshots). The opencode-go relay
forwards these as-is to the Xiaomi MiMo backend, which rejects list-type
tool message content while still accepting multimodal user messages.
## Root Cause
The OpenCodeGoProfile inherits supports_vision_tool_messages=True from
ProviderProfile (the default). When this flag is True, the agent sends
tool results with image parts directly to the model. However, Xiaomi
MiMo's API rejects this format:
> "Set to False for providers that accept multimodal user messages but
> reject list-type tool content (e.g. Xiaomi MiMo, which returns 400
> 'text is not set')."
> — providers/base.py, line 73
The direct 'xiaomi' provider profile already correctly sets this to
False (plugins/model-providers/xiaomi/__init__.py, line 13), but the
opencode-go relay profile was missing this safeguard.
The relevant code path is in run_agent.py:_tool_result_content_for_active_model()
(line 4543), which checks _provider_supports_vision_tool_messages() when
deciding whether to embed images in tool-result messages.
## Fix
Add supports_vision_tool_messages=False to the OpenCodeGoProfile
instantiation in plugins/model-providers/opencode-zen/__init__.py.
This single-line change prevents tool-result images from being sent
as multipart content to the MiMo backend, while preserving the model's
image recognition capability through user messages and vision tool
invocations (both of which use different code paths unaffected by this
flag).
## Testing
Verified with the mimo-v2.5 model via opencode-go provider:
1. Browser tool + screenshot recognition
→ Navigated to https://www.baidu.com, took screenshot, identified
top 3 trending topics from the image
→ Result: PASSED, recognized all topics correctly
2. Direct image as user message
→ Sent a screenshot PNG directly via --image flag, asked model to
describe the content
→ Result: PASSED, model correctly read text from the image
3. Provider profile verification
→ Confirmed get_provider_profile('opencode-go').supports_vision_tool_messages
returns False at runtime
→ Result: PASSED
4. No regression on non-MiMo models
→ opencode-zen provider retains supports_vision_tool_messages=True
(unaffected)
---
fix(opencode-go): 为 Xiaomi MiMo 后端设置 supports_vision_tool_messages=False
## 问题描述
使用 opencode-go provider 搭配 Xiaomi MiMo 模型（如 mimo-v2.5、
mimo-v2.5-pro）时，Hermes agent 间歇性地抛出以下错误：
Error code: 400 - {'error': {'code': '400',
'message': 'Error from provider (Xiaomi): Param Incorrect',
'param': 'text is not set', 'type': ''}}
该错误发生在工具返回结果包含 image_url 类型的 multipart 内容的场景下
（如浏览器截图）。opencode-go 中继层将这些内容原样转发给 Xiaomi MiMo
后端，而 MiMo 接受多模态用户消息，但拒绝 list-type tool message 内容。
## 根因分析
OpenCodeGoProfile 继承了 ProviderProfile 的默认值
supports_vision_tool_messages=True。当此标志为 True 时，agent 会将含
图片的工具结果直接发送给模型。但 Xiaomi MiMo API 拒绝此格式：
> providers/base.py 第 73 行注释明确指出：
> "Set to False for providers that accept multimodal user messages but
> reject list-type tool content (e.g. Xiaomi MiMo, which returns 400
> 'text is not set')."
直接的 'xiaomi' provider profile 已正确设置了该值为 False
（plugins/model-providers/xiaomi/__init__.py 第 13 行），但
opencode-go 中继 profile 遗漏了这一安全设置。
相关代码路径：run_agent.py 的 _tool_result_content_for_active_model()
方法（第 4543 行），该方法通过检查
_provider_supports_vision_tool_messages() 来决定是否在 tool-result
消息中嵌入图片。
## 修复方案
在 plugins/model-providers/opencode-zen/__init__.py 的
OpenCodeGoProfile 实例化中添加 supports_vision_tool_messages=False。
这一行改动阻止了 tool-result 图片以 multipart 格式发送给 MiMo 后端，
同时通过用户消息和 vision tool 调用的路径（使用不同代码路径，不受
此标志影响）保留了模型的图像识别能力。
## 测试验证
使用 mimo-v2.5 模型通过 opencode-go provider 验证：
1. 浏览器截图 + 图像识别
→ 导航至 https://www.baidu.com，截取首页截图，从图片中识别出
热搜榜前三条
→ 结果：通过，正确识别所有热搜话题
2. 用户消息直接传图
→ 通过 --image 参数直接发送截图 PNG，要求模型描述图片内容
→ 结果：通过，模型正确读取图片中的文字
3. Provider profile 运行时验证
→ 确认 get_provider_profile('opencode-go')
.supports_vision_tool_messages 在运行时返回 False
→ 结果：通过
4. 非 MiMo 模型无回归
→ opencode-zen provider 保持 supports_vision_tool_messages=True
不受影响
## 修改文件
plugins/model-providers/opencode-zen/__init__.py (+5 lines)
Signed-off-by: Yuan Chenglu (袁成路) <ycl_pj@163.com>
Hermes Agent ☤
The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
Use any model you want — Nous Portal, OpenRouter, OpenAI, your own endpoint, and many others. Switch with hermes model — no code changes, no lock-in.
| A real terminal interface | Full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output. |
| Lives where you do | Telegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process. Voice memo transcription, cross-platform conversation continuity. |
| A closed learning loop | Agent-curated memory with periodic nudges. Autonomous skill creation after complex tasks. Skills self-improve during use. FTS5 session search with LLM summarization for cross-session recall. Honcho dialectic user modeling. Compatible with the agentskills.io open standard. |
| Scheduled automations | Built-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended. |
| Delegates and parallelizes | Spawn isolated subagents for parallel workstreams. Write Python scripts that call tools via RPC, collapsing multi-step pipelines into zero-context-cost turns. |
| Runs anywhere, not just your laptop | Seven terminal backends — local, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox. Daytona and Modal offer serverless persistence — your agent's environment hibernates when idle and wakes on demand, costing nearly nothing between sessions. Run it on a $5 VPS or a GPU cluster. |
| Research-ready | Batch trajectory generation, trajectory compression for training the next generation of tool-calling models. |
Quick Install
Linux, macOS, WSL2, Termux
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
Windows (native, PowerShell)
Heads up: Native Windows runs Hermes without WSL — CLI, gateway, TUI, and tools all work natively. If you'd rather use WSL2, the Linux/macOS one-liner above works there too. Found a bug? Please file issues.
Run this in PowerShell:
iex (irm https://hermes-agent.nousresearch.com/install.ps1)
The installer handles everything: uv, Python 3.11, Node.js, ripgrep, ffmpeg, and a portable Git Bash (MinGit, unpacked to %LOCALAPPDATA%\hermes\git — no admin required, completely isolated from any system Git install). Hermes uses this bundled Git Bash to run shell commands.
If you already have Git installed, the installer detects it and uses that instead. Otherwise a ~45MB MinGit download is all you need — it won't touch or interfere with any system Git.
Android / Termux: The tested manual path is documented in the Termux guide. On Termux, Hermes installs a curated
.[termux]extra because the full.[all]extra currently pulls Android-incompatible voice dependencies.Windows: Native Windows is fully supported — the PowerShell one-liner above installs everything. If you'd rather use WSL2, the Linux command works there too. Native Windows install lives under
%LOCALAPPDATA%\hermes; WSL2 installs under~/.hermesas on Linux.
After installation:
source ~/.bashrc # reload shell (or: source ~/.zshrc)
hermes # start chatting!
Troubleshooting
Windows Defender or antivirus flags uv.exe as malware
If your antivirus (Bitdefender, Windows Defender, etc.) quarantines uv.exe from the Hermes bin folder (%LOCALAPPDATA%\hermes\bin\uv.exe), this is a false positive. The file is Astral's uv — the Rust Python package manager Hermes bundles to manage its Python environment. ML-based antivirus engines commonly flag unsigned Rust binaries that download and install packages.
To verify your copy is authentic:
# Install GitHub CLI if needed
winget install --id GitHub.cli
# Login to GitHub
gh auth login
# Run verification
$uv = "$env:LOCALAPPDATA\hermes\bin\uv.exe"
$ver = (& $uv --version).Split(' ')[1]
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
$zip = "$env:TEMP\uv.zip"
Invoke-WebRequest "https://github.com/astral-sh/uv/releases/download/$ver/uv-x86_64-pc-windows-msvc.zip" -OutFile $zip -UseBasicParsing
gh attestation verify $zip --repo astral-sh/uv
Expand-Archive $zip "$env:TEMP\uv_x" -Force
(Get-FileHash "$env:TEMP\uv_x\uv.exe").Hash -eq (Get-FileHash $uv).Hash
If attestation says "Verification succeeded" and the last line prints True, you're good.
To whitelist Hermes:
- Windows Defender: Run PowerShell as Admin →
Add-MpPreference -ExclusionPath "$env:LOCALAPPDATA\hermes\bin" - Bitdefender: Add an exception in the Bitdefender console (Protection > Antivirus > Settings > Manage Exceptions)
- Whitelist the folder, not the file hash — Hermes updates
uvand the hash changes every version
For more context, see the upstream Astral reports: astral-sh/uv#13553, astral-sh/uv#15011, astral-sh/uv#10079.
Getting Started
hermes # Interactive CLI — start a conversation
hermes model # Choose your LLM provider and model
hermes tools # Configure which tools are enabled
hermes config set # Set individual config values
hermes config get # Print individual config values
hermes gateway # Start the messaging gateway (Telegram, Discord, etc.)
hermes setup # Run the full setup wizard (configures everything at once)
hermes claw migrate # Migrate from OpenClaw (if coming from OpenClaw)
hermes update # Update to the latest version
hermes doctor # Diagnose any issues
Skip the API-key collection — Nous Portal
Hermes works with whatever provider you want — that's not changing. But if you'd rather not collect five separate API keys for the model, web search, image generation, TTS, and a cloud browser, Nous Portal covers all of them under one subscription:
- 300+ models — pick any of them with
/model <name> - Tool Gateway — web search (Firecrawl), image generation (FAL), text-to-speech (OpenAI), cloud browser (Browser Use), all routed through your sub. No extra accounts.
One command from a fresh install:
hermes setup --portal
That logs you in via OAuth, sets Nous as your provider, and turns on the Tool Gateway. Check what's wired up any time with hermes portal info. Full details on the Tool Gateway docs page.
You can still bring your own keys per-tool whenever you want — the gateway is per-backend, not all-or-nothing.
CLI vs Messaging Quick Reference
Hermes has two entry points: start the terminal UI with hermes, or run the gateway and talk to it from Telegram, Discord, Slack, WhatsApp, Signal, or Email. Once you're in a conversation, many slash commands are shared across both interfaces.
| Action | CLI | Messaging platforms |
|---|---|---|
| Start chatting | hermes |
Run hermes gateway setup + hermes gateway start, then send the bot a message |
| Start fresh conversation | /new or /reset |
/new or /reset |
| Change model | /model [provider:model] |
/model [provider:model] |
| Set a personality | /personality [name] |
/personality [name] |
| Retry or undo the last turn | /retry, /undo |
/retry, /undo |
| Compress context / check usage | /compress, /usage, /insights [--days N] |
/compress, /usage, /insights [days] |
| Browse skills | /skills or /<skill-name> |
/<skill-name> |
| Interrupt current work | Ctrl+C or send a new message |
/stop or send a new message |
| Platform-specific status | /platforms |
/status, /sethome |
For the full command lists, see the CLI guide and the Messaging Gateway guide.
Documentation
All documentation lives at hermes-agent.nousresearch.com/docs:
| Section | What's Covered |
|---|---|
| Quickstart | Install → setup → first conversation in 2 minutes |
| CLI Usage | Commands, keybindings, personalities, sessions |
| Configuration | Config file, providers, models, all options |
| Messaging Gateway | Telegram, Discord, Slack, WhatsApp, Signal, Home Assistant |
| Security | Command approval, DM pairing, container isolation |
| Tools & Toolsets | 40+ tools, toolset system, terminal backends |
| Skills System | Procedural memory, Skills Hub, creating skills |
| Memory | Persistent memory, user profiles, best practices |
| MCP Integration | Connect any MCP server for extended capabilities |
| Cron Scheduling | Scheduled tasks with platform delivery |
| Context Files | Project context that shapes every conversation |
| Architecture | Project structure, agent loop, key classes |
| Contributing | Development setup, PR process, code style |
| CLI Reference | All commands and flags |
| Environment Variables | Complete env var reference |
Migrating from OpenClaw
If you're coming from OpenClaw, Hermes can automatically import your settings, memories, skills, and API keys.
During first-time setup: The setup wizard (hermes setup) automatically detects ~/.openclaw and offers to migrate before configuration begins.
Anytime after install:
hermes claw migrate # Interactive migration (full preset)
hermes claw migrate --dry-run # Preview what would be migrated
hermes claw migrate --preset user-data # Migrate without secrets
hermes claw migrate --overwrite # Overwrite existing conflicts
What gets imported:
- SOUL.md — persona file
- Memories — MEMORY.md and USER.md entries
- Skills — user-created skills →
~/.hermes/skills/openclaw-imports/ - Command allowlist — approval patterns
- Messaging settings — platform configs, allowed users, working directory
- API keys — allowlisted secrets (Telegram, OpenRouter, OpenAI, Anthropic, ElevenLabs)
- TTS assets — workspace audio files
- Workspace instructions — AGENTS.md (with
--workspace-target)
See hermes claw migrate --help for all options, or use the openclaw-migration skill for an interactive agent-guided migration with dry-run previews.
Contributing
We welcome contributions! See the Contributing Guide for development setup, code style, and PR process.
Quick start for contributors — use the standard installer, then work from the
full git checkout it creates at $HERMES_HOME/hermes-agent (usually
~/.hermes/hermes-agent). This matches the layout used by hermes update, the
managed venv, lazy dependencies, gateway, and docs tooling.
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
cd "${HERMES_HOME:-$HOME/.hermes}/hermes-agent"
uv pip install -e ".[all,dev]"
scripts/run_tests.sh
Manual clone fallback (for throwaway clones/CI where you intentionally do not want the managed install layout):
Create the venv outside the cloned source tree — a venv inside the directory the agent operates from can be wiped by a relative-path command the agent runs against its own checkout, destroying the running runtime mid-session.
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv ~/.hermes/venvs/hermes-dev --python 3.11
source ~/.hermes/venvs/hermes-dev/bin/activate
uv pip install -e ".[all,dev]"
scripts/run_tests.sh
Community
- 💬 Discord
- 📚 Skills Hub
- 🐛 Issues
- 🔌 computer-use-linux — Linux desktop-control MCP server for Hermes and other MCP hosts, with AT-SPI accessibility trees, Wayland/X11 input, screenshots, and compositor window targeting.
- 🔌 HermesClaw — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
License
MIT — see LICENSE.
Built by Nous Research.