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Merge pull request #167 from Jr-kenny/pr/docs-codefences

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fix(docs): add missing code block language specifiers
This commit is contained in:
Teknium
2026-02-27 23:16:27 -08:00
committed by GitHub
parent 9fb027915e 609fc6d080
commit 337cd574c8
6 changed files with 13 additions and 13 deletions
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README.md
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@@ -133,7 +133,7 @@ You need at least one way to connect to an LLM. Use `hermes model` to switch pro
All your settings are stored in `~/.hermes/` for easy access:
```
```text
~/.hermes/
├── config.yaml # Settings (model, terminal, TTS, compression, etc.)
├── .env # API keys and secrets
@@ -648,7 +648,7 @@ Even if no messaging platforms are configured, the gateway stays running for cro
### 🛡️ Exec Approval (Messaging Platforms)
When the agent tries to run a potentially dangerous command (rm -rf, chmod 777, etc.) on Telegram/Discord/WhatsApp, instead of blocking it silently, it asks the user for approval:
When the agent tries to run a potentially dangerous command (`rm -rf`, `chmod 777`, etc.) on Telegram/Discord/WhatsApp, instead of blocking it silently, it asks the user for approval:
> ⚠️ This command is potentially dangerous (recursive delete). Reply "yes" to approve.
@@ -894,7 +894,7 @@ code_execution:
The `delegate_task` tool spawns child AIAgent instances with isolated context, restricted toolsets, and their own terminal sessions. Each child gets a fresh conversation and works independently -- only its final summary enters the parent's context.
**Single task:**
```
```python
delegate_task(goal="Debug why tests fail", context="Error: assertion in test_foo.py line 42", toolsets=["terminal", "file"])
```
@@ -973,7 +973,7 @@ python rl_cli.py --model "anthropic/claude-sonnet-4-20250514"
### 🧪 Atropos RL Environments
Hermes-Agent integrates with the [Atropos](https://github.com/NousResearch/atropos) RL framework through a layered environment system. This allows training models with reinforcement learning on agentic tasks using hermes-agent's tools.
Hermes Agent integrates with the [Atropos](https://github.com/NousResearch/atropos) RL framework through a layered environment system. This allows training models with reinforcement learning on agentic tasks using Hermes Agent's tools.
#### Architecture