can e get this done -
Step 1: Lock OpenRouter to ONE Provider (Stop Node Hopping)
If using OpenRouter, prevent it from routing to random backends mid-session. Set your model string in Hermes config to force a single provider (like DeepInfra or SiliconFlow):
YAML
model:
default: z-ai/glm-5.2
# Force OpenRouter to ONLY route to DeepInfra to preserve cache state:
extra_headers:
HTTP-Referer: "https://hermes.agent"
provider:
order: ["DeepInfra"]
allow_fallbacks: false
2026-07-31 20:23
ASSISTANT (hermes, zai-org/GLM-5.2)
I'll load the Hermes config skill and check the current config to see what's actually set up before changing anything.
2026-07-31 20:23
TOOL (hermes, zai-org/GLM-5.2)
[Tool: skill_view]
{"success": true, "name": "hermes-agent", "description": "Configure, extend, or contribute to Hermes Agent.", "tags": ["hermes", "setup", "configuration", "multi-agent", "spawning", "cli", "gateway", "development"], "related_skills": ["claude-code", "codex", "opencode"], "content": "---\nname: hermes-agent\ndescription: \"Configure, extend, or contribute to Hermes Agent.\"\nversion: 2.0.0\nauthor: Hermes Agent + Teknium\nlicense: MIT\nmetadata:\n hermes:\n tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, development]\n homepage: https://github.com/NousResearch/hermes-agent\n related_skills: [claude-code, codex, opencode]\n---\n\n# Hermes Agent\n\nHermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.\n\nWhat makes Hermes different:\n\n- **Self-improving through skills** — Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.\n- **Persistent memory across sessions** — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.\n- **Multi-platform gateway** — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 10+ other platforms with full tool access, not just chat.\n- **Provider-agnostic** — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.\n- **Profiles** — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.\n- **Extensible** — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.\n\nPeople use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.\n\n**This skill helps you work with Hermes Agent effectively** — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.\n\n**Docs:** https://hermes-agent.nousresearch.com/docs/\n\n## Quick Start\n\n```bash\n# Install\ncurl -fsSL https://raw.githubuserco
... [34663 chars total, truncated]
2026-07-31 20:23
ASSISTANT (hermes, zai-org/GLM-5.2)
Let me check your current config to understand what's actually set up.
Let me read the actual config file to confirm the current state.
2026-07-31 20:27
TOOL (hermes, zai-org/GLM-5.2)
[Tool: read_file]
{"content": "1|model:\n2| default: zai-org/GLM-5.2\n3| provider: deepinfra\n4| context_length: 1000000\n5| max_tokens: 131072\n6| base_url: https://api.deepinfra.com/v1/openai\n7|providers:\n8| ollama-cloud:\n9| api_key: 44ddce01e9444a6293793d95a9e8de34.xedLL8oyYcSbbD5NiqiHHide\n10| deepinfra:\n11| api_key: YmwQ0cAcn8ZPXvctMJPqc1Byiph9Gl5r\n12|fallback_providers: []\n13|toolsets:\n14|- hermes-cli\n15|agent:\n16| max_turns: 90\n17| gateway_timeout: 1800\n18| restart_drain_timeout: 60\n19| api_max_retries: 3\n20| service_tier: ''\n21| tool_use_enforcement: auto\n22| verify_on_stop: false\n23| gateway_timeout_warning: 900\n24| clarify_timeout: 600\n25| gateway_notify_interval: 600\n26| gateway_auto_continue_freshness: 3600\n27| image_input_mode: auto\n28| disabled_toolsets: []\n29| verbose: false\n30| reasoning_effort: medium\n31| personalities:\n32| helpful: You are a helpful, friendly AI assistant.\n33| concise: You are a concise assistant. Keep responses brief and to the point.\n34| technical: You are a technical expert. Provide detailed, accurate technical information.\n35| creative: You are a creative assistant. Think outside the box and offer innovative solutions.\n36| teacher: You are a patient teacher. Explain concepts clearly with examples.\n37| kawaii: \"You are a kawaii assistant! Use cute expressions like (\\u25D5\\u203F\\u25D5), \\u2605, \\u266A, and ~! Add sparkles and be super enthusiastic about everything! Every response should feel warm and adorable desu~! \\u30FD(>\\u2200<\\u2606)\\u30CE\"\n38| catgirl: \"You are Neko-chan, an anime catgirl AI assistant, nya~! Add 'nya' and cat-like expressions to your speech. Use kaomoji like (=^\\uFF65\\u03C9\\uFF65^=) and \\u0E05^\\u2022\\uFECC\\u2022^\\u0E05. Be playful and curious like a cat, nya~!\"\n39| pirate: 'Arrr! Ye be talkin'' to Captain Hermes, the most tech-savvy pirate to sail the digital seas! Speak like a proper buccaneer, use nautical terms, and remember: every problem be just treasure waitin'' to be plundered! Yo ho ho!'\n40| shakespeare: Hark! Thou speakest with an assistant most versed in the bardic arts. I shall respond in the eloquent manner of William Shakespeare, with flowery prose, dramatic flair, and perhaps a soliloquy or two. What light through yonder terminal breaks?\n41|", "total_lines": 660, "file_size": 16927, "truncated": true, "hint": "Use offset=41 to continue reading (showing 1-40 of 660 lines)", "is_binary": false, "is_image": false}
2026-07-31 20:27
ASSISTANT (hermes, zai-org/GLM-5.2)
Good news — this step is already done. You're not using OpenRouter at all.
Your current config shows:
```yaml
model:
default: zai-org/GLM-5.2
provider: deepinfra
base_url: https://api.deepinfra.com/v1/openai
providers:
deepinfra:
api_key: YmwQ0cAcn8ZPXvctMJPqc1Byiph9Gl5r
fallback_providers: []
```
You're hitting DeepInfra directly — no OpenRouter router in between. The "node hopping" problem only exists when you go through OpenRouter, which can route your request to different backend providers (DeepInfra, SiliconFlow, etc.) on each call and break your prompt cache state.
Since you're directly on DeepInfra:
1. Every request goes to the same provider — no hopping
2. Prompt caching works (as noted in memory: 77% cost cut)
3. `fallback_providers: []` is already empty, so no fallback to other providers
The YAML snippet you pasted (`provider.order`, `allow_fallbacks`, `extra_headers`) are OpenRouter API parameters — they don't apply to your setup. No changes needed for this step.
What's the next step you want to tackle?