Remove OpenAI provider, default to Grok

.env.example

@@ -9,10 +9,6 @@ IRC_USE_TLS=false
 IRC_CMD_PREFIX=!
 
 # AI agent provider settings (used by: python -m agentirc)
-OPENAI_API_BASE=https://api.openai.com
-OPENAI_API_KEY=
-OPENAI_MODELS=
-
 XAI_API_BASE=https://api.x.ai/v1
 XAI_API_KEY=
 XAI_MODELS=
@@ -21,7 +17,7 @@ LMSTUDIO_BASE_URL=http://127.0.0.1:1234/v1
 LMSTUDIO_API_KEY=
 LMSTUDIO_MODELS=
 
-DEFAULT_MODEL=gpt-5-mini
+DEFAULT_MODEL=grok-4-1-fast-non-reasoning
 AGENTIRC_TOOLS=web_search,x_search,code_interpreter,mcp
 AGENTIRC_MCP_SERVERS=[]
 AGENTIRC_ADMINS=

README.md

@@ -1,6 +1,6 @@
 # agentirc
 
-An AI-powered IRC agent built on a minimal async IRC bot framework. Supports multiple LLM providers (OpenAI, xAI, LM Studio) with per-user conversation history, tool use, and encrypted persistence.
+An AI-powered IRC agent built on a minimal async IRC bot framework. Supports multiple LLM providers (xAI, LM Studio) with per-user conversation history, tool use, and encrypted persistence.
 
 ## Table of Contents
 

agentirc/.env.example

@@ -9,10 +9,6 @@ IRC_USE_TLS=false
 IRC_CMD_PREFIX=!
 
 # AI agent provider settings (used by: python -m agentirc)
-OPENAI_API_BASE=https://api.openai.com
-OPENAI_API_KEY=
-OPENAI_MODELS=
-
 XAI_API_BASE=https://api.x.ai/v1
 XAI_API_KEY=
 XAI_MODELS=
@@ -21,7 +17,7 @@ LMSTUDIO_BASE_URL=http://127.0.0.1:1234/v1
 LMSTUDIO_API_KEY=
 LMSTUDIO_MODELS=
 
-DEFAULT_MODEL=gpt-5-mini
+DEFAULT_MODEL=grok-4-1-fast-non-reasoning
 AGENTIRC_TOOLS=web_search,x_search,code_interpreter,mcp
 AGENTIRC_MCP_SERVERS=[]
 AGENTIRC_ADMINS=

agentirc/__init__.py

@@ -1,4 +1,4 @@
-"""agentirc -- AI-powered IRC agent using OpenAI-compatible Responses APIs."""
+"""agentirc -- AI-powered IRC agent using Responses APIs."""
 
 from .bot import ChatBot
 from .config import ChatConfig

agentirc/api.py

@@ -1,10 +1,9 @@
-"""OpenAI-compatible Responses API client."""
+"""Responses API client."""
 
 from __future__ import annotations
 
 import json
 import logging
-import re
 from typing import Any, Iterable
 
 import httpx
@@ -27,7 +26,7 @@ def __init__(
         system_prompt: str,
         max_tokens: int,
         enabled_tools: list[str],
-        provider: str = "openai",
+        provider: str = "xai",
     ) -> None:
         self.api_base = api_base.rstrip("/")
         self.api_key = api_key
@@ -41,9 +40,7 @@ def __init__(
     def _fallback_base_url(provider: str) -> str:
         if provider == "lmstudio":
             return "http://127.0.0.1:1234/v1"
-        if provider == "xai":
-            return "https://api.x.ai/v1"
-        return "https://api.openai.com/v1"
+        return "https://api.x.ai/v1"
 
     def _base_url(self, provider: str, api_base: str | None = None) -> str:
         configured = str(api_base or self.api_base or "").strip()
@@ -113,25 +110,7 @@ def _is_chat_model(provider: str, model_id: str) -> bool:
             blocked_fragments = ("imagine", "image", "video", "voice", "vision")
             return not any(fragment in lowered for fragment in blocked_fragments)
 
-        prefixes = ("gpt-", "o1", "o3", "o4")
-        if not model_id.startswith(prefixes):
-            return False
-
-        blocked_fragments = (
-            "preview",
-            "audio",
-            "computer-use",
-            "transcribe",
-            "tts",
-            "image",
-        )
-        if any(fragment in lowered for fragment in blocked_fragments):
-            return False
-
-        if re.search(r"-\d{4}-\d{2}-\d{2}$", lowered):
-            return False
-
-        return True
+        return False
 
     @staticmethod
     def build_input_items(

agentirc/bot.py

@@ -296,7 +296,7 @@ def _provider_for_model(self, model: str) -> str:
         configured = [p for p in KNOWN_PROVIDERS if self._base_url(p)]
         if len(configured) == 1:
             return configured[0]
-        return "openai"
+        return "xai"
 
     def _base_url(self, provider: str) -> str:
         return str(self.config.base_urls.get(provider, "") or "").strip()
@@ -324,8 +324,6 @@ def _is_valid_model(self, model: str) -> bool:
     def _provider_label(provider: str) -> str:
         if provider == "xai":
             return "xAI"
-        if provider == "openai":
-            return "OpenAI"
         if provider == "lmstudio":
             return "LM Studio"
         return provider

agentirc/config.py

@@ -71,37 +71,27 @@ def make_default_prompt(self, *, verbose: bool = False) -> str:
     def from_env(cls) -> ChatConfig:
         """Build config from environment variables."""
         load_env()
-        openai_models = _parse_csv(os.environ.get("OPENAI_MODELS"))
         xai_models = _parse_csv(os.environ.get("XAI_MODELS"))
         lmstudio_models = _parse_csv(os.environ.get("LMSTUDIO_MODELS"))
 
-        legacy_openai_model = os.environ.get("OPENAI_MODEL", "").strip()
-        if legacy_openai_model and legacy_openai_model not in openai_models:
-            openai_models = [legacy_openai_model, *openai_models]
-
         default_model = os.environ.get("DEFAULT_MODEL", "").strip()
         if not default_model:
             default_model = (
-                legacy_openai_model
-                or (openai_models[0] if openai_models else "")
-                or (xai_models[0] if xai_models else "")
+                (xai_models[0] if xai_models else "")
                 or (lmstudio_models[0] if lmstudio_models else "")
             )
 
         return cls(
             irc=BotConfig.from_env(),
             models={
-                "openai": openai_models,
                 "xai": xai_models,
                 "lmstudio": lmstudio_models,
             },
             api_keys={
-                "openai": os.environ.get("OPENAI_API_KEY", "").strip(),
                 "xai": os.environ.get("XAI_API_KEY", "").strip(),
                 "lmstudio": os.environ.get("LMSTUDIO_API_KEY", "").strip(),
             },
             base_urls={
-                "openai": os.environ.get("OPENAI_API_BASE", "https://api.openai.com").strip(),
                 "xai": os.environ.get("XAI_API_BASE", "https://api.x.ai/v1").strip(),
                 "lmstudio": os.environ.get("LMSTUDIO_BASE_URL", "http://127.0.0.1:1234/v1").strip(),
             },

agentirc/models.py

@@ -4,13 +4,12 @@
 
 import json
 import logging
-import re
 from urllib.error import URLError
 from urllib.request import Request, urlopen
 
 log = logging.getLogger(__name__)
 
-KNOWN_PROVIDERS = ("openai", "xai", "lmstudio")
+KNOWN_PROVIDERS = ("xai", "lmstudio")
 
 
 def _models_url(api_base: str) -> str:
@@ -34,25 +33,7 @@ def _is_chat_model(provider: str, model_id: str) -> bool:
         blocked_fragments = ("imagine", "image", "video", "voice", "vision")
         return not any(fragment in lowered for fragment in blocked_fragments)
 
-    prefixes = ("gpt-", "o1", "o3", "o4")
-    if not model_id.startswith(prefixes):
-        return False
-
-    blocked_fragments = (
-        "preview",
-        "audio",
-        "computer-use",
-        "transcribe",
-        "tts",
-        "image",
-    )
-    if any(fragment in lowered for fragment in blocked_fragments):
-        return False
-
-    if re.search(r"-\d{4}-\d{2}-\d{2}$", lowered):
-        return False
-
-    return True
+    return False
 
 
 def provider_for_model(model: str, models: dict[str, list[str]]) -> str | None:
@@ -67,12 +48,10 @@ def provider_for_model(model: str, models: dict[str, list[str]]) -> str | None:
     lowered = selected.lower()
     if lowered.startswith("grok-"):
         return "xai"
-    if lowered.startswith(("gpt-", "o1", "o3", "o4")):
-        return "openai"
     return None
 
 
-def fetch_models(api_base: str, api_key: str = "", provider: str = "openai") -> list[str]:
+def fetch_models(api_base: str, api_key: str = "", provider: str = "xai") -> list[str]:
     """GET models and return filtered chat-capable model IDs."""
     url = _models_url(api_base)
     req = Request(url, method="GET")
@@ -137,7 +116,7 @@ def pick_default_model(models: dict[str, list[str]], preferred: str = "") -> str
     raise RuntimeError("No models available from configured providers")
 
 
-def pick_model(api_base: str, api_key: str = "", preferred: str = "", provider: str = "openai") -> str:
+def pick_model(api_base: str, api_key: str = "", preferred: str = "", provider: str = "xai") -> str:
     """Legacy helper: pick a model from a single provider endpoint."""
     available = fetch_models(api_base, api_key, provider=provider)
 

agentirc/tools.py

@@ -1,4 +1,4 @@
-"""Tool definitions for OpenAI-compatible Responses APIs."""
+"""Tool definitions for Responses APIs."""
 
 from __future__ import annotations
 
@@ -9,23 +9,22 @@
 
 def build_tools(
     enabled: list[str],
-    provider: str = "openai",
+    provider: str = "xai",
     *,
     web_search_country: str = "",
     mcp_servers: list[dict[str, Any]] | None = None,
 ) -> list[dict[str, Any]]:
     """Build the tools list for the Responses API request.
 
     Supported tools:
-        - web_search (openai, xai)
+        - web_search (xai)
         - x_search (xai)
-        - code_interpreter (openai, xai)
-        - mcp (all providers)
+        - code_interpreter (xai)
     """
     tool_builders: dict[str, tuple[set[str], Any]] = {
-        "web_search": ({"openai", "xai"}, _web_search_tool),
+        "web_search": ({"xai"}, _web_search_tool),
         "x_search": ({"xai"}, _x_search_tool),
-        "code_interpreter": ({"openai", "xai"}, _code_interpreter_tool),
+        "code_interpreter": ({"xai"}, _code_interpreter_tool),
     }
 
     tools = []
@@ -67,18 +66,8 @@ def _x_search_tool(_provider: str) -> dict[str, Any]:
     return {"type": "x_search"}
 
 
-def _mcp_tool(server: dict[str, Any]) -> dict[str, Any]:
-    tool: dict[str, Any] = {"type": "mcp"}
-    tool.update(server)
-    tool.setdefault("require_approval", "never")
-    return tool
-
-
-def _code_interpreter_tool(provider: str) -> dict[str, Any]:
-    tool = {"type": "code_interpreter"}
-    if provider == "openai":
-        tool["container"] = {"type": "auto"}
-    return tool
+def _code_interpreter_tool(_provider: str) -> dict[str, Any]:
+    return {"type": "code_interpreter"}
 
 
 def xai_model_supports_hosted_tools(model: str) -> bool:

docs/ai-agent.md

@@ -1,6 +1,6 @@
 # AI Agent
 
-The `agentirc` package extends the base `ircbot` framework with multi-provider AI chat capabilities via OpenAI-compatible Responses APIs.
+The `agentirc` package extends the base `ircbot` framework with multi-provider AI chat capabilities via Responses APIs.
 
 ## Architecture
 
@@ -19,11 +19,10 @@ agentirc/
 
 ## Providers
 
-Three providers are supported out of the box:
+Two providers are supported out of the box:
 
 | Provider | Env Prefix | API Base Default |
 |---|---|---|
-| OpenAI | `OPENAI_*` | `https://api.openai.com` |
 | xAI | `XAI_*` | `https://api.x.ai/v1` |
 | LM Studio | `LMSTUDIO_*` | `http://127.0.0.1:1234/v1` |
 
@@ -35,9 +34,6 @@ All agentirc-specific variables (in addition to the [IRC variables](configuratio
 
 | Variable | Default | Description |
 |---|---|---|
-| `OPENAI_API_BASE` | `https://api.openai.com` | OpenAI API base URL |
-| `OPENAI_API_KEY` | | OpenAI API key |
-| `OPENAI_MODELS` | | Comma-separated model list |
 | `XAI_API_BASE` | `https://api.x.ai/v1` | xAI API base URL |
 | `XAI_API_KEY` | | xAI API key |
 | `XAI_MODELS` | | Comma-separated model list |
@@ -63,9 +59,9 @@ Tools are passed to the Responses API and executed server-side by the provider:
 
 | Tool | Providers | Description |
 |---|---|---|
-| `web_search` | OpenAI, xAI | Web search with optional country bias |
+| `web_search` | xAI | Web search with optional country bias |
 | `x_search` | xAI | Search X/Twitter posts |
-| `code_interpreter` | OpenAI, xAI | Execute code in a sandbox |
+| `code_interpreter` | xAI | Execute code in a sandbox |
 
 Tools are automatically filtered per-provider. xAI hosted tools (`web_search`, `x_search`, `code_interpreter`) require Grok 4+ models.
 

docs/ai-output-disclaimer.md

@@ -13,7 +13,7 @@ This document explains the limits of responsibility for the agentirc bot ("the A
 ## 2) Definitions
 
 - "App": This IRC chatbot and accompanying materials.
-- "LLMs/Providers": Third-party large language models and services (e.g., OpenAI, xAI, LM Studio, or any OpenAI-compatible endpoint) that you enable and supply credentials for.
+- "LLMs/Providers": Third-party large language models and services (e.g., xAI, LM Studio, or any compatible endpoint) that you enable and supply credentials for.
 - "Outputs": Any text generated or triggered by the models.
 - "You": Any user, administrator, or organization using or distributing the App.
 

pyproject.toml

@@ -4,12 +4,12 @@ build-backend = "hatchling.build"
 
 [project]
 name = "agentirc"
-version = "1.1.1"
+version = "1.2.0"
 description = "AI-powered IRC agent with multi-provider LLM support"
 readme = "README.md"
 license = "MIT"
 requires-python = ">=3.10"
-keywords = ["irc", "bot", "ai", "llm", "chatbot", "agent", "openai", "ollama"]
+keywords = ["irc", "bot", "ai", "llm", "chatbot", "agent", "xai", "grok"]
 classifiers = [
     "Development Status :: 4 - Beta",
 "Programming Language :: Python :: 3",