chore: PyPI distribution name bs-autobot + init_chat_model model construction

packages/autobot/autobot/agent/models.py

@@ -9,8 +9,10 @@
    ``/v1``) with the model the stack stamps for blue. Provider keys and model
    routing live in the proxy — the user's Decepticon LLM settings are reused,
    never configured twice.
-2. **Standalone mode** — ``AUTOBOT_MODEL`` builds a ChatModel directly through
-   the LiteLLM SDK (``ChatLiteLLM``), provider keys in the standard env.
+2. **Standalone mode** — ``AUTOBOT_MODEL`` builds a ChatModel via langchain's
+   ``init_chat_model`` (provider packages as optional extras; the LiteLLM-SDK
+   construction was dropped because ``langchain-litellm`` transitively forces
+   ``mcp>=2``, conflicting with the Decepticon MCP server's ``mcp<2`` pin).
 
 Resolution order: shared gateway (if fully configured) → standalone
 ``AUTOBOT_MODEL`` → fail-closed with guidance covering both modes.
@@ -37,7 +39,7 @@
 import re
 from typing import Any
 
-from langchain_litellm import ChatLiteLLM
+from langchain.chat_models import init_chat_model
 
 _MODEL_ENV = "AUTOBOT_MODEL"
 _FALLBACK_ENV = "AUTOBOT_FALLBACK_MODELS"
@@ -73,10 +75,19 @@ def _temperature() -> float | None:
 
 
 def _build_chat(model: str, temperature: float | None) -> Any:
-    kwargs: dict[str, Any] = {"model": model}
+    # langchain's universal constructor. The LiteLLM-style ``provider/model``
+    # prefix is split: the provider selects the integration (whose package
+    # must be installed — autobot[openai], autobot[anthropic], ...) and the
+    # rest is the provider-native model name. Custom gateways (an Elice-served
+    # model behind a LiteLLM proxy) go through the shared-gateway mode —
+    # provider-agnostic.
+    provider, _, name = model.partition("/")
+    kwargs: dict[str, Any] = (
+        {"model": name, "model_provider": provider} if name else {"model": model}
+    )
     if temperature is not None:
         kwargs["temperature"] = temperature
-    return ChatLiteLLM(**kwargs)
+    return init_chat_model(**kwargs)
 
 
 _GATEWAY_PROXY_ENV = "DECEPTICON_LLM__PROXY_URL"

packages/autobot/pyproject.toml

@@ -1,5 +1,8 @@
 [project]
-name = "autobot"
+# PyPI distribution name — the bare ``autobot`` name is already taken on
+# PyPI by an unrelated project, so the short namespace form is used. The
+# import package remains ``autobot``.
+name = "bs-autobot"
 # Sentinel — replaced with the git tag at build time, in lockstep with the
 # rest of the workspace. See containers/langgraph.Dockerfile and the
 # release workflow.
@@ -43,7 +46,6 @@ dependencies = [
     "langchain-core>=0.3.0",
     "langchain>=0.3.0",
     "langgraph>=1.0.0",
-    "langchain-litellm>=0.9.0",
     "langchain-openai>=0.3.0",
     "langchain-anthropic>=0.3.0",
     "deepagents>=0.3.0",

packages/autobot/tests/unit/agent/test_blue_cell_wiring.py

@@ -3,6 +3,7 @@
 import pytest
 
 from autobot.agent.blue_cell import (
+    build_model,
     create_blue_cell_agent,
     default_middleware,
     default_tools,
@@ -59,11 +60,9 @@ def test_system_prompt_carries_the_identity_and_readonly_contract() -> None:
 
 
 def test_default_middleware_order_matches_the_design(monkeypatch: pytest.MonkeyPatch) -> None:
-    from langchain_litellm import ChatLiteLLM
-
     monkeypatch.setenv("AUTOBOT_MODEL", "anthropic/claude-sonnet-4")
     monkeypatch.setenv("AUTOBOT_BUDGET_TOKENS", "0")
-    model = ChatLiteLLM(model="anthropic/claude-sonnet-4")  # construction only, no calls
+    model = build_model()  # ChatAnthropic — construction only, no calls
     order = [type(m).__name__ for m in default_middleware(model)]
     assert order == [
         "UntrustedOutputMiddleware",

packages/autobot/tests/unit/agent/test_models.py

@@ -16,10 +16,11 @@ def test_missing_model_fails_closed_with_guidance() -> None:
         build_model()
 
 
-def test_primary_only_builds_chatlitellm(monkeypatch: pytest.MonkeyPatch) -> None:
+def test_primary_builds_provider_chat_model(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setenv("AUTOBOT_MODEL", "anthropic/claude-sonnet-4")
     model = build_model()
-    assert type(model).__name__ == "ChatLiteLLM"
+    # init_chat_model dispatches by the provider prefix.
+    assert type(model).__name__ == "ChatAnthropic"
 
 
 def test_fallback_models_parse_from_commas_and_spaces(monkeypatch: pytest.MonkeyPatch) -> None:
@@ -31,7 +32,7 @@ def test_fallback_models_parse_from_commas_and_spaces(monkeypatch: pytest.Monkey
 
 def test_fallbacks_attach_natively(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setenv("AUTOBOT_MODEL", "anthropic/claude-sonnet-4")
-    monkeypatch.setenv("AUTOBOT_FALLBACK_MODELS", "openai/gpt-4o")
+    monkeypatch.setenv("AUTOBOT_FALLBACK_MODELS", "anthropic/claude-haiku-4-5")
     model = build_model()
     from langchain_core.runnables import RunnableWithFallbacks