Release/v2.1.1

.github/workflows/ci.yml

@@ -15,6 +15,8 @@ jobs:
           curl -sSL https://install.python-poetry.org | python - -y --version 1.5.1
       - name: Install dependencies
         run: poetry install
+      - name: Release metadata check
+        run: poetry run python scripts/check_release_workflow.py
       - name: Compile
         run: poetry run mypy .
   test:

compat/agora-agent-server-sdk/pyproject.toml

@@ -3,7 +3,7 @@ name = "agora-agent-server-sdk"
 
 [tool.poetry]
 name = "agora-agent-server-sdk"
-version = "v2.1.0"
+version = "v2.1.1"
 description = "Compatibility shim for the renamed agora-agents package."
 readme = "README.md"
 authors = []
@@ -35,7 +35,7 @@ Repository = 'https://github.com/AgoraIO-Conversational-AI/agent-server-sdk-pyth
 
 [tool.poetry.dependencies]
 python = "^3.8"
-agora-agents = ">=2.1.0,<3.0.0"
+agora-agents = ">=2.1.1,<3.0.0"
 
 [build-system]
 requires = ["poetry-core"]

pyproject.toml

@@ -3,7 +3,7 @@ name = "agora-agents"
 
 [tool.poetry]
 name = "agora-agents"
-version = "v2.1.0"
+version = "v2.1.1"
 description = ""
 readme = "README.md"
 authors = []

scripts/check_release_workflow.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+
+import re
+import sys
+from pathlib import Path
+from typing import NoReturn
+
+
+def fail(message: str) -> NoReturn:
+    print(message, file=sys.stderr)
+    raise SystemExit(1)
+
+
+def read_version(path: str) -> str:
+    text = Path(path).read_text()
+    match = re.search(r'^version\s*=\s*"v?([^"]+)"', text, re.M)
+    if not match:
+        fail(f"version not found in {path}")
+    return match.group(1)
+
+
+def read_compat_dependency(path: str) -> str:
+    text = Path(path).read_text()
+    match = re.search(r'^agora-agents\s*=\s*"([^"]+)"', text, re.M)
+    if not match:
+        fail(f"agora-agents dependency not found in {path}")
+    return match.group(1)
+
+
+root_version = read_version("pyproject.toml")
+compat_pyproject = "compat/agora-agent-server-sdk/pyproject.toml"
+compat_version = read_version(compat_pyproject)
+compat_dependency = read_compat_dependency(compat_pyproject)
+
+if compat_version != root_version:
+    fail(f"Compat package version ({compat_version}) must match root package version ({root_version}).")
+
+expected_dependency = f">={root_version},<3.0.0"
+if compat_dependency != expected_dependency:
+    fail(f"Compat package dependency on agora-agents ({compat_dependency}) must be {expected_dependency}.")
+
+release_workflow = Path(".github/workflows/release.yml").read_text()
+required_workflow_markers = [
+    ("contents: write", "release workflow must have contents: write so it can create GitHub releases"),
+    ("gh release create", "release workflow must create a GitHub release when one does not exist"),
+    ("gh release edit", "release workflow must update an existing GitHub release"),
+    ("release_notes.md", "release workflow must generate and use a release notes file"),
+]
+
+for marker, message in required_workflow_markers:
+    if marker not in release_workflow:
+        fail(message)
+
+print("Release metadata and workflow checks passed.")

src/agora_agent/agentkit/agent.py

@@ -3,6 +3,7 @@
 import time
 import typing
 import typing_extensions
+import warnings
 
 if typing.TYPE_CHECKING:
     from .agent_session import AgentSession, AsyncAgentSession
@@ -815,6 +816,8 @@ def to_properties(
         app_certificate: typing.Optional[str] = None,
         expires_in: typing.Optional[int] = None,
         skip_vendor_validation: bool = False,
+        skip_vendor_validation_categories: typing.Optional[typing.AbstractSet[str]] = None,
+        allow_missing_vendor_categories: typing.Optional[typing.AbstractSet[str]] = None,
     ) -> StartAgentsRequestProperties:
         # Validate the MLLM + enabled-avatar combination BEFORE generating the
         # RTC token so callers get a clear, actionable error first (matches the
@@ -895,19 +898,49 @@ def to_properties(
                 base_kwargs["mllm"] = mllm_config
             return StartAgentsRequestProperties(**base_kwargs)
 
-        base_kwargs["asr"] = self._resolve_asr_config()
+        if skip_vendor_validation:
+            warnings.warn(
+                "skip_vendor_validation is deprecated and will be removed in a future release. "
+                "Use skip_vendor_validation_categories and allow_missing_vendor_categories instead.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+
+        skip_categories = set(skip_vendor_validation_categories or ())
+        allow_missing_categories = set(allow_missing_vendor_categories or ())
+        if skip_vendor_validation:
+            skip_categories.update({"asr", "llm", "tts"})
+            allow_missing_categories.update({"asr", "llm", "tts"})
+
+        skip_asr_validation = skip_vendor_validation or "asr" in skip_categories
+        skip_llm_validation = skip_vendor_validation or "llm" in skip_categories
+        skip_tts_validation = skip_vendor_validation or "tts" in skip_categories
+        allow_missing_asr = "asr" in allow_missing_categories
+        allow_missing_llm = "llm" in allow_missing_categories
+        allow_missing_tts = "tts" in allow_missing_categories
+
+        if not skip_asr_validation and (self._stt is not None or not allow_missing_asr):
+            base_kwargs["asr"] = self._resolve_asr_config()
         base_kwargs["turn_detection"] = self._resolve_turn_detection_config()
 
         if skip_vendor_validation:
             return StartAgentsRequestProperties(**base_kwargs)
 
-        if self._tts is None:
+        if self._tts is None and not (skip_tts_validation or allow_missing_tts):
             raise ValueError("TTS configuration is required. Use with_tts() to set it.")
 
-        if self._llm is None:
+        if self._llm is None and not (skip_llm_validation or allow_missing_llm):
             raise ValueError("LLM configuration is required. Use with_llm() to set it.")
 
-        llm_config = dict(self._llm)
+        if self._llm is not None and not skip_llm_validation:
+            base_kwargs["llm"] = self._resolve_llm_config()
+        if self._tts is not None and not skip_tts_validation:
+            base_kwargs["tts"] = self._tts
+
+        return StartAgentsRequestProperties(**base_kwargs)
+
+    def _resolve_llm_config(self) -> typing.Dict[str, typing.Any]:
+        llm_config = dict(self._llm or {})
         # Agent-level fields take priority over the vendor's defaults.
         # This matches the TS SDK where agent-level values override vendor config.
         if self._instructions is not None:
@@ -920,11 +953,7 @@ def to_properties(
             llm_config["failure_message"] = self._failure_message
         if self._max_history is not None:
             llm_config["max_history"] = self._max_history
-
-        base_kwargs["llm"] = llm_config
-        base_kwargs["tts"] = self._tts
-
-        return StartAgentsRequestProperties(**base_kwargs)
+        return llm_config
 
     def _resolve_asr_config(self) -> typing.Dict[str, typing.Any]:
         asr_config = dict(self._stt or {})

src/agora_agent/agentkit/agent_session.py

@@ -27,7 +27,14 @@
     validate_avatar_config,
     validate_tts_sample_rate,
 )
-from .presets import resolve_session_presets
+from .presets import (
+    get_preset_category,
+    infer_asr_preset,
+    infer_llm_preset,
+    infer_tts_preset,
+    normalize_preset_input,
+    resolve_session_presets,
+)
 from .token import generate_convo_ai_token, _parse_numeric_uid
 
 
@@ -294,15 +301,17 @@ def _is_mllm_mode(self) -> bool:
     def _build_start_properties(
         self,
         token_opts: typing.Dict[str, typing.Any],
-        skip_vendor_validation: bool,
+        skip_vendor_validation_categories: typing.AbstractSet[str],
+        allow_missing_vendor_categories: typing.AbstractSet[str],
     ) -> typing.Dict[str, typing.Any]:
         base_properties = self._agent.to_properties(
             channel=self._channel,
             agent_uid=self._agent_uid,
             remote_uids=self._remote_uids,
             idle_timeout=self._idle_timeout,
             enable_string_uid=self._enable_string_uid,
-            skip_vendor_validation=skip_vendor_validation,
+            skip_vendor_validation_categories=skip_vendor_validation_categories,
+            allow_missing_vendor_categories=allow_missing_vendor_categories,
             **token_opts,
         )
         properties = self._dump_model(base_properties)
@@ -340,6 +349,29 @@ def _build_start_properties(
 
         return properties
 
+    def _vendor_validation_categories(
+        self,
+        pipeline_id: typing.Optional[str],
+    ) -> typing.Tuple[typing.Set[str], typing.Set[str]]:
+        skip_categories: typing.Set[str] = set()
+        allow_missing_categories: typing.Set[str] = {"asr", "llm", "tts"} if pipeline_id else set()
+
+        preset = normalize_preset_input(self._preset)
+        if preset:
+            for item in preset.split(","):
+                category = get_preset_category(item)
+                if category is not None:
+                    skip_categories.add(category)
+                    allow_missing_categories.add(category)
+
+        if infer_asr_preset(self._agent.stt):
+            skip_categories.add("asr")
+        if infer_llm_preset(self._agent.llm):
+            skip_categories.add("llm")
+        if infer_tts_preset(self._agent.tts):
+            skip_categories.add("tts")
+        return skip_categories, allow_missing_categories
+
     @staticmethod
     def _page_value(pagination: typing.Any, field: str) -> typing.Any:
         if pagination is None:
@@ -460,7 +492,12 @@ def start(self) -> str:
                     "expires_in": self._expires_in,
                 }
 
-            properties = self._build_start_properties(token_opts, skip_vendor_validation=bool(self._preset or pipeline_id))
+            skip_categories, allow_missing_categories = self._vendor_validation_categories(pipeline_id)
+            properties = self._build_start_properties(
+                token_opts,
+                skip_vendor_validation_categories=skip_categories,
+                allow_missing_vendor_categories=allow_missing_categories,
+            )
             resolved_preset, resolved_properties = resolve_session_presets(
                 self._preset,
                 properties,
@@ -782,7 +819,12 @@ async def start(self) -> str:
                     "expires_in": self._expires_in,
                 }
 
-            properties = self._build_start_properties(token_opts, skip_vendor_validation=bool(self._preset or pipeline_id))
+            skip_categories, allow_missing_categories = self._vendor_validation_categories(pipeline_id)
+            properties = self._build_start_properties(
+                token_opts,
+                skip_vendor_validation_categories=skip_categories,
+                allow_missing_vendor_categories=allow_missing_categories,
+            )
             resolved_preset, resolved_properties = resolve_session_presets(
                 self._preset,
                 properties,

src/agora_agent/agentkit/presets.py

@@ -37,7 +37,12 @@ class _AgentPresets:
 DeepgramPresetModels = ("nova-2", "nova-3")
 OpenAIPresetModels = ("gpt-4o-mini", "gpt-4.1-mini", "gpt-5-nano", "gpt-5-mini")
 OpenAITtsPresetModels = ("tts-1",)
-MiniMaxPresetModels = ("speech-2.6-turbo", "speech_2_6_turbo", "speech-2.8-turbo", "speech_2_8_turbo")
+MiniMaxPresetModels = (
+    "speech-2.6-turbo",
+    "speech_2_6_turbo",
+    "speech-2.8-turbo",
+    "speech_2_8_turbo",
+)
 
 PresetInput = typing.Union[str, typing.Sequence[str]]
 
@@ -61,7 +66,10 @@ class _AgentPresets:
 
 
 def _normalize_model_name(value: typing.Any) -> typing.Optional[str]:
-    return value.strip().lower() if isinstance(value, str) else None
+    if not isinstance(value, str):
+        return None
+    normalized = value.strip().lower()
+    return normalized if normalized else None
 
 
 def _parse_preset_input(preset: typing.Optional[PresetInput]) -> typing.List[str]:
@@ -87,6 +95,10 @@ def _get_preset_category(preset: str) -> typing.Optional[str]:
     return None
 
 
+def get_preset_category(preset: str) -> typing.Optional[str]:
+    return _get_preset_category(preset)
+
+
 def _omit_none(value: typing.Dict[str, typing.Any]) -> typing.Optional[typing.Dict[str, typing.Any]]:
     next_value = {k: v for k, v in value.items() if v is not None}
     return next_value or None

src/agora_agent/core/client_wrapper.py

@@ -26,10 +26,10 @@ def __init__(
 
     def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
-            "User-Agent": "agora-agents/v2.1.0",
+            "User-Agent": "agora-agents/v2.1.1",
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "agora-agents",
-            "X-Fern-SDK-Version": "v2.1.0",
+            "X-Fern-SDK-Version": "v2.1.1",
             **(self.get_custom_headers() or {}),
         }
         headers["Authorization"] = httpx.BasicAuth(self._get_username(), self._get_password())._auth_header