add my custom LLM server

README.md

@@ -26,9 +26,19 @@ This Space hosts the OpenClaw trading bot (paper-only). The LLM runs in a separa
 - Expected to expose a simple HTTP inference endpoint.
 - The bot calls `${LLM_SPACE_URL}` (see `config/openclaw.env.example`) and expects a JSON response with an output string.
 - Update `LLM_SPACE_URL` and response path in `openclaw.json` to match your existing LLM Space.
+- For OpenAI-compatible llama.cpp endpoints, use `openclaw.llamacpp.json` and set:
+  - `LLM_SPACE_OPENAI_URL=https://researchengineering-agi.hf.space/v1/chat/completions`
+  - `LLM_MODEL` (for example `deepseek-chat`)
+  - `LLM_SPACE_API_KEY` if your endpoint requires auth
+- For your AGI Multi-Model API spec, use `openclaw.researchengineering.json`:
+  - `LLM_SPACE_OPENAI_URL=https://researchengineering-agi.hf.space/v1/chat/completions`
+  - `LLM_SPACE_WEBCHAT_URL=https://researchengineering-agi.hf.space/v1/web-chat/completions`
+  - `response_path=choices.0.message.content`
 
 **Key Files**
 - `openclaw.json` defines providers, routing, tools, memory, and safety.
+- `openclaw.llamacpp.json` is prewired for OpenAI-compatible endpoints (llama.cpp style).
+- `openclaw.researchengineering.json` is prewired for your AGI Multi-Model API.
 - `app.py` provides gateway controls and strategy backtesting UI.
 - `tools/backtesting_runner.py` implements SMA crossover test runners for `backtesting.py` and `backtrader`.
 - `config/openclaw.env.example` lists all required env vars.

config/openclaw.env.example

@@ -1,5 +1,9 @@
 # LLM Space (external)
 LLM_SPACE_URL=https://your-llm-space.hf.space/api/predict
+LLM_SPACE_OPENAI_URL=https://researchengineering-agi.hf.space/v1/chat/completions
+LLM_SPACE_WEBCHAT_URL=https://researchengineering-agi.hf.space/v1/web-chat/completions
+LLM_SPACE_API_KEY=
+LLM_MODEL=deepseek-chat
 
 # Alpaca paper trading
 ALPACA_API_KEY=your_key

openclaw.llamacpp.json

@@ -0,0 +1,74 @@
+{
+  "agent": {
+    "name": "openclaw-trading-bot",
+    "description": "OpenClaw bot for paper trading with llama.cpp/OpenAI-compatible external LLM Space",
+    "timezone": "UTC"
+  },
+  "providers": [
+    {
+      "name": "hf_llamacpp_openai",
+      "type": "custom_http",
+      "base_url": "${LLM_SPACE_OPENAI_URL}",
+      "method": "POST",
+      "timeout_ms": 30000,
+      "headers": {
+        "Content-Type": "application/json",
+        "Authorization": "Bearer ${LLM_SPACE_API_KEY}"
+      },
+      "request_schema": {
+        "model": "${LLM_MODEL}",
+        "messages": [
+          {
+            "role": "user",
+            "content": "${prompt}"
+          }
+        ],
+        "temperature": 0.2,
+        "max_tokens": 700
+      },
+      "response_path": "choices.0.message.content"
+    }
+  ],
+  "routing": {
+    "market_analysis": "hf_llamacpp_openai",
+    "signal_generation": "hf_llamacpp_openai",
+    "reporting": "hf_llamacpp_openai"
+  },
+  "tools": {
+    "alpaca_paper": {
+      "type": "python",
+      "module": "tools.alpaca_paper",
+      "env": [
+        "ALPACA_API_KEY",
+        "ALPACA_API_SECRET",
+        "ALPACA_BASE_URL"
+      ]
+    },
+    "hf_storage": {
+      "type": "python",
+      "module": "tools.hf_storage",
+      "env": [
+        "HF_TOKEN",
+        "HF_TRADES_REPO"
+      ]
+    },
+    "market_data": {
+      "type": "python",
+      "module": "tools.market_data",
+      "env": [
+        "MARKET_DATA_SOURCE"
+      ]
+    }
+  },
+  "memory": {
+    "type": "sqlite",
+    "path": "/data/openclaw_memory.sqlite",
+    "max_tokens": 1200
+  },
+  "safety": {
+    "paper_only": true,
+    "max_order_qty": 5,
+    "max_position_usd": 5000,
+    "require_signal": true
+  }
+}

openclaw.researchengineering.json

@@ -0,0 +1,94 @@
+{
+  "agent": {
+    "name": "openclaw-trading-bot",
+    "description": "OpenClaw bot for paper trading with ResearchEngineering AGI Multi-Model API",
+    "timezone": "UTC"
+  },
+  "providers": [
+    {
+      "name": "agi_chat",
+      "type": "custom_http",
+      "base_url": "${LLM_SPACE_OPENAI_URL}",
+      "method": "POST",
+      "timeout_ms": 30000,
+      "headers": {
+        "Content-Type": "application/json"
+      },
+      "request_schema": {
+        "messages": [
+          {
+            "role": "user",
+            "content": "${prompt}"
+          }
+        ],
+        "max_tokens": 700,
+        "temperature": 0.2
+      },
+      "response_path": "choices.0.message.content"
+    },
+    {
+      "name": "agi_web_chat",
+      "type": "custom_http",
+      "base_url": "${LLM_SPACE_WEBCHAT_URL}",
+      "method": "POST",
+      "timeout_ms": 45000,
+      "headers": {
+        "Content-Type": "application/json"
+      },
+      "request_schema": {
+        "messages": [
+          {
+            "role": "user",
+            "content": "${prompt}"
+          }
+        ],
+        "max_tokens": 700,
+        "temperature": 0.2,
+        "max_search_results": 5
+      },
+      "response_path": "choices.0.message.content"
+    }
+  ],
+  "routing": {
+    "market_analysis": "agi_web_chat",
+    "signal_generation": "agi_chat",
+    "reporting": "agi_chat"
+  },
+  "tools": {
+    "alpaca_paper": {
+      "type": "python",
+      "module": "tools.alpaca_paper",
+      "env": [
+        "ALPACA_API_KEY",
+        "ALPACA_API_SECRET",
+        "ALPACA_BASE_URL"
+      ]
+    },
+    "hf_storage": {
+      "type": "python",
+      "module": "tools.hf_storage",
+      "env": [
+        "HF_TOKEN",
+        "HF_TRADES_REPO"
+      ]
+    },
+    "market_data": {
+      "type": "python",
+      "module": "tools.market_data",
+      "env": [
+        "MARKET_DATA_SOURCE"
+      ]
+    }
+  },
+  "memory": {
+    "type": "sqlite",
+    "path": "/data/openclaw_memory.sqlite",
+    "max_tokens": 1200
+  },
+  "safety": {
+    "paper_only": true,
+    "max_order_qty": 5,
+    "max_position_usd": 5000,
+    "require_signal": true
+  }
+}