chore: remove hardcoded parameters from nooa client

docs/run-inference/about.mdx

@@ -292,6 +292,33 @@ working as designed — use `/health/ready` instead.
 
 ---
 
+## Troubleshooting
+
+### Function tools require disabled reasoning
+
+If an OpenAI-compatible Chat Completions request using function tools fails
+with an error like this:
+
+```text
+Function tools with reasoning_effort are not supported for <model> in /v1/chat/completions. To use function tools, use /v1/responses or set reasoning_effort to 'none'.
+```
+
+set `reasoning_effort` in the affected provider's default request body. Replace
+`<provider_name>` and `<workspace>` with the provider and workspace used for
+the request:
+
+```bash
+nemo inference providers update <provider_name> \
+  --workspace <workspace> \
+  --default-extra-body '{"reasoning_effort":"none"}'
+```
+
+Provider requirements differ. Configure only the parameters required by the
+provider and model you use; `--default-extra-body` applies them to requests
+routed through that provider and can be overridden by an individual request.
+
+---
+
 ## API Reference
 
 For complete API details, refer to the [Inference Gateway API Reference](/documentation/reference/api-reference) and [SDK Reference](/documentation/reference/python-sdk).

packages/nemo_platform_plugin/src/nemo_platform_plugin/nooa_model_client.py

@@ -14,7 +14,6 @@
 from contextvars import ContextVar
 from dataclasses import dataclass
 
-from litellm import get_model_info
 from nemo_platform import AsyncNeMoPlatform
 from nemo_platform.config import get_context
 from nemo_platform.types.inference import ModelProvider
@@ -24,26 +23,10 @@
 _PLACEHOLDER_API_KEY = "not-needed"
 _OPENAI_FORMAT = "OPENAI_CHAT"
 _ANTHROPIC_FORMAT = "ANTHROPIC_MESSAGES"
-_OPENAI_CHAT_REASONING_EFFORT = "none"
 _ACCEPT_ENCODING_HEADER = "accept-encoding"
 _IDENTITY_ENCODING = "identity"
 
 
-def _openai_chat_reasoning_effort(model: str) -> str | None:
-    """Disable reasoning unless LiteLLM explicitly says this value is unsupported."""
-    try:
-        model_info = get_model_info(model)
-    except Exception as exc:
-        # Custom provider registrations need not appear in LiteLLM's model map.
-        # Preserve the value that makes frontier Chat Completions tool calls work.
-        if "This model isn't mapped yet" not in str(exc):
-            raise
-        return _OPENAI_CHAT_REASONING_EFFORT
-    if model_info.get("supports_none_reasoning_effort") is False:
-        return None
-    return _OPENAI_CHAT_REASONING_EFFORT
-
-
 @dataclass(frozen=True)
 class ConfiguredModelRefs:
     """Workspace-qualified Model Entity IDs for default and fast agent work."""
@@ -131,10 +114,6 @@ def _completion_client(
             # LiteLLM versions otherwise bridge GPT-5.4+ tool calls with any
             # reasoning_effort value (including "none") to /responses.
             _skip_responses_api_bridge=True,
-            # Chat Completions tool calls on current OpenAI frontier models
-            # require reasoning to be disabled. Use LiteLLM's capability map to
-            # omit that value only when the served model explicitly rejects it.
-            reasoning_effort=_openai_chat_reasoning_effort(litellm_model),
         )
     elif model_entity.backend_format == _ANTHROPIC_FORMAT:
         api_base = api_base.removesuffix("/v1")

packages/nemo_platform_plugin/tests/test_nooa_model_client.py

@@ -9,7 +9,6 @@
 from nemo_platform_plugin.nooa_model_client import (
     ConfiguredModelClients,
     ConfiguredModelRefs,
-    _openai_chat_reasoning_effort,
     activate_model_clients,
     configured_model_refs,
     get_configured_model_refs,
@@ -76,7 +75,6 @@ async def test_resolve_model_clients_deduplicates_same_model(monkeypatch):
         extra_headers={"x-test": "value", "accept-encoding": "identity"},
         drop_params=True,
         _skip_responses_api_bridge=True,
-        reasoning_effort="none",
     )
     assert default_headers == {"x-test": "value"}
 
@@ -177,7 +175,6 @@ async def test_resolve_model_clients_uses_provider_served_name(monkeypatch):
         extra_headers={"accept-encoding": "identity"},
         drop_params=True,
         _skip_responses_api_bridge=True,
-        reasoning_effort="none",
     )
 
 
@@ -251,32 +248,3 @@ async def test_resolve_model_clients_closes_constructed_client_after_failure(mon
         )
 
     constructed.aclose.assert_awaited_once()
-
-
-def test_openai_chat_reasoning_effort_uses_litellm_capability(monkeypatch):
-    monkeypatch.setattr(
-        nooa_model_client,
-        "get_model_info",
-        lambda model: {"supports_none_reasoning_effort": False},
-    )
-
-    assert _openai_chat_reasoning_effort("openai/gpt-5-mini") is None
-
-
-def test_openai_chat_reasoning_effort_preserves_none_for_unmapped_models(monkeypatch):
-    def unmapped(model: str):
-        raise Exception("This model isn't mapped yet")
-
-    monkeypatch.setattr(nooa_model_client, "get_model_info", unmapped)
-
-    assert _openai_chat_reasoning_effort("openai/custom-model") == "none"
-
-
-def test_openai_chat_reasoning_effort_does_not_hide_lookup_failures(monkeypatch):
-    def failed(model: str):
-        raise RuntimeError("model registry failed")
-
-    monkeypatch.setattr(nooa_model_client, "get_model_info", failed)
-
-    with pytest.raises(RuntimeError, match="model registry failed"):
-        _openai_chat_reasoning_effort("openai/gpt-5-mini")