Update README.md

README.md

@@ -302,53 +302,129 @@ You can point any OpenAI-compatible SDK (Python, Node.js, etc.) or `curl` at the
 
 ## Agentic Usage
 
-
+Ornith-1.0-9B excels in tool-calling and agentic coding capabilities.
 
 ### Agent Frameworks
 
 Because Ornith-1.0-9B exposes an OpenAI-compatible endpoint with tool calling, it works out of the box with standard agent frameworks. Below is a minimal example that connects Ornith-1.0-9B to tools through an MCP server.
 
 ```python
+import os
+from openai import OpenAI
+
+client = OpenAI(
+    base_url=os.getenv("OPENAI_BASE_URL", "http://localhost:8000/v1"),
+    api_key=os.getenv("OPENAI_API_KEY", "EMPTY"),
+)
 
+tools = [
+    {
+        "type": "function",
+        "function": {
+            "name": "run_shell",
+            "description": "Run a shell command and return its output.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "command": {"type": "string", "description": "The command to run"}
+                },
+                "required": ["command"],
+            },
+        },
+    }
+]
+
+messages = [{"role": "user", "content": "List the Python files in the current directory."}]
+
+response = client.chat.completions.create(
+    model="deepreinforce-ai/Ornith-1.0-9B",
+    messages=messages,
+    tools=tools,
+    temperature=0.6,
+    top_p=0.95,
+)
+print(response.choices[0].message)
 ```
 
 **Examples of using Ornith with agent harness:**
 
 #### Hermes Agent
 ```bash
-
+# Hermes talks to any OpenAI-compatible endpoint — point it at your Ornith server.
+export OPENAI_BASE_URL="http://localhost:8000/v1"
+export OPENAI_API_KEY="EMPTY"
+export MODEL="deepreinforce-ai/Ornith-1.0-9B"
 ```
 
-#### OpenHands
+
+#### Atomic.chat / Ollama / llama.cpp 
 ```bash
+# Both runtimes load a GGUF build of Ornith (publish one at deepreinforce-ai/Ornith-1.0-9B-GGUF).
+
+# llama.cpp — serve an OpenAI-compatible API on port 8000.
+llama-server -hf deepreinforce-ai/Ornith-1.0-9B-GGUF --port 8000 -c 262144
 
+# Ollama — pull and chat with the same GGUF straight from Hugging Face.
+ollama run hf.co/deepreinforce-ai/Ornith-1.0-9B-GGUF
 ```
 
-#### llama.cpp / Ollama
-```bash
+#### OpenClaw
 
+```bash
+# OpenClaw talks to any OpenAI-compatible endpoint — point it at your Ornith server.
+export OPENAI_BASE_URL="http://localhost:8000/v1"
+export OPENAI_API_KEY="EMPTY"
+export OPENAI_MODEL="deepreinforce-ai/Ornith-1.0-9B"
 ```
 
 #### Unsloth Studio
 
 ```bash
-
+pip install unsloth
+
+# Load Ornith for fast local inference or fine-tuning (Python):
+#   from unsloth import FastLanguageModel
+#   model, tokenizer = FastLanguageModel.from_pretrained(
+#       "deepreinforce-ai/Ornith-1.0-9B",
+#       max_seq_length=262144,
+#       load_in_4bit=True,
+#   )
 ```
 
-
-#### OpenClaw
-
+#### OpenHands
 ```bash
+pip install openhands-ai
 
-```
+# OpenHands routes through LiteLLM; the "openai/" prefix selects the OpenAI-compatible path.
+export LLM_MODEL="openai/deepreinforce-ai/Ornith-1.0-9B"
+export LLM_BASE_URL="http://localhost:8000/v1"
+export LLM_API_KEY="EMPTY"
 
+# Launch the CLI (or run the official OpenHands Docker image with the same env vars).
+openhands
+```
 
 ### Coding CLIs
 
+Ornith-1.0-9B is optimized for terminal-based coding agents. Point any OpenAI-compatible coding CLI at your Ornith-1.0-9B endpoint (set `OPENAI_BASE_URL` and `OPENAI_API_KEY`) to understand large codebases, automate tedious work, and ship faster.
 
 #### OpenCode
 ```bash
-
+# Register your local Ornith endpoint as a provider in ~/.config/opencode/opencode.json:
+#
+# {
+#   "$schema": "https://opencode.ai/config.json",
+#   "provider": {
+#     "ornith": {
+#       "npm": "@ai-sdk/openai-compatible",
+#       "name": "Ornith (local)",
+#       "options": { "baseURL": "http://localhost:8000/v1", "apiKey": "EMPTY" },
+#       "models": { "deepreinforce-ai/Ornith-1.0-9B": { "name": "Ornith-1.0-9B" } }
+#     }
+#   }
+# }
+
+opencode
 ```
 
 ### Citation