chore: bump to 0.7.27 with bugfixes (#2660)

2025-06-03 04:30:22 +00:00 · 2025-05-24 21:14:01 -07:00 · 2025-05-24 21:14:01 -07:00 · 2716d422da
commit 2716d422da
parent ffa038737b 61f8f7fedd
12 changed files with 124 additions and 78 deletions
--- a/letta/init.py
+++ b/letta/init.py
@ -1,4 +1,4 @@
-__version__ = "0.7.26"
+__version__ = "0.7.27"

 # import clients
 from letta.client.client import RESTClient
--- a/letta/interfaces/openai_streaming_interface.py
+++ b/letta/interfaces/openai_streaming_interface.py
@ -58,9 +58,10 @@ class OpenAIStreamingInterface:

    def get_tool_call_object(self) -> ToolCall:
        """Useful for agent loop"""
+        function_name = self.last_flushed_function_name if self.last_flushed_function_name else self.function_name_buffer
        return ToolCall(
            id=self.letta_tool_message_id,
-            function=FunctionCall(arguments=self.current_function_arguments, name=self.last_flushed_function_name),
+            function=FunctionCall(arguments=self.current_function_arguments, name=function_name),
        )

    async def process(self, stream: AsyncStream[ChatCompletionChunk]) -> AsyncGenerator[LettaMessage, None]:
--- a/letta/llm_api/anthropic.py
+++ b/letta/llm_api/anthropic.py
@ -55,6 +55,18 @@ BASE_URL = "https://api.anthropic.com/v1"
 # https://docs.anthropic.com/claude/docs/models-overview
 # Sadly hardcoded
 MODEL_LIST = [
+    {
+        "name": "claude-opus-4-20250514",
+        "context_window": 200000,
+    },
+    {
+        "name": "claude-sonnet-4-20250514",
+        "context_window": 200000,
+    },
+    {
+        "name": "claude-3-5-haiku-20241022",
+        "context_window": 200000,
+    },
    ## Opus
    {
        "name": "claude-3-opus-20240229",
--- a/letta/llm_api/openai.py
+++ b/letta/llm_api/openai.py
@ -56,6 +56,7 @@ def openai_check_valid_api_key(base_url: str, api_key: Union[str, None]) -> None
    else:
        raise ValueError("No API key provided")

+
 def openai_get_model_list(url: str, api_key: Optional[str] = None, fix_url: bool = False, extra_params: Optional[dict] = None) -> dict:
    """https://platform.openai.com/docs/api-reference/models/list"""
    from letta.utils import printd
--- a/letta/llm_api/openai_client.py
+++ b/letta/llm_api/openai_client.py
@ -41,7 +41,7 @@ def is_openai_reasoning_model(model: str) -> bool:
    """Utility function to check if the model is a 'reasoner'"""

    # NOTE: needs to be updated with new model releases
-    is_reasoning = model.startswith("o1") or model.startswith("o3")
+    is_reasoning = model.startswith("o1") or model.startswith("o3") or model.startswith("o4")
    return is_reasoning


@ -187,7 +187,8 @@ class OpenAIClient(LLMClientBase):
            tool_choice=tool_choice,
            user=str(),
            max_completion_tokens=llm_config.max_tokens,
-            temperature=llm_config.temperature if supports_temperature_param(model) else None,
+            # NOTE: the reasoners that don't support temperature require 1.0, not None
+            temperature=llm_config.temperature if supports_temperature_param(model) else 1.0,
        )

        # always set user id for openai requests
--- a/letta/schemas/providers.py
+++ b/letta/schemas/providers.py
@ -289,7 +289,7 @@ class OpenAIProvider(Provider):

            # for openai, filter models
            if self.base_url == "https://api.openai.com/v1":
-                allowed_types = ["gpt-4", "o1", "o3"]
+                allowed_types = ["gpt-4", "o1", "o3", "o4"]
                # NOTE: o1-mini and o1-preview do not support tool calling
                # NOTE: o1-pro is only available in Responses API
                disallowed_types = ["transcribe", "search", "realtime", "tts", "audio", "computer", "o1-mini", "o1-preview", "o1-pro"]
--- a/letta/server/db.py
+++ b/letta/server/db.py
@ -120,18 +120,21 @@ class DatabaseRegistry:
                async_pg_uri = async_pg_uri.replace("sslmode=", "ssl=")

                async_engine = create_async_engine(async_pg_uri, **self._build_sqlalchemy_engine_args(is_async=True))
-
-                self._async_engines["default"] = async_engine
-
-                # Create async session factory
-                self._async_session_factories["default"] = async_sessionmaker(
-                    autocommit=False, autoflush=False, bind=self._async_engines["default"], class_=AsyncSession
-                )
                self._initialized["async"] = True
            else:
                self.logger.warning("Async SQLite is currently not supported. Please use PostgreSQL for async database operations.")
                # TODO (cliandy): unclear around async sqlite support in sqlalchemy, we will not currently support this
-                self._initialized["async"] = False
+                self._initialized["async"] = True
+                engine_path = "sqlite+aiosqlite:///" + os.path.join(self.config.recall_storage_path, "sqlite.db")
+                self.logger.info("Creating sqlite engine " + engine_path)
+                async_engine = create_async_engine(engine_path, **self._build_sqlalchemy_engine_args(is_async=True))
+
+            # Create async session factory
+            self._async_engines["default"] = async_engine
+            self._async_session_factories["default"] = async_sessionmaker(
+                autocommit=False, autoflush=False, bind=self._async_engines["default"], class_=AsyncSession
+            )
+            self._initialized["async"] = True

    def _build_sqlalchemy_engine_args(self, *, is_async: bool) -> dict:
        """Prepare keyword arguments for create_engine / create_async_engine."""
--- a/letta/server/rest_api/routers/v1/agents.py
+++ b/letta/server/rest_api/routers/v1/agents.py
@ -716,6 +716,7 @@ async def send_message_streaming(
    feature_enabled = settings.use_experimental or experimental_header.lower() == "true"
    model_compatible = agent.llm_config.model_endpoint_type in ["anthropic", "openai", "together", "google_ai", "google_vertex"]
    model_compatible_token_streaming = agent.llm_config.model_endpoint_type in ["anthropic", "openai"]
+    not_letta_endpoint = not ("letta" in agent.llm_config.model_endpoint)

    if agent_eligible and feature_enabled and model_compatible:
        if agent.enable_sleeptime:
@ -745,7 +746,7 @@ async def send_message_streaming(
            )
        from letta.server.rest_api.streaming_response import StreamingResponseWithStatusCode

-        if request.stream_tokens and model_compatible_token_streaming:
+        if request.stream_tokens and model_compatible_token_streaming and not_letta_endpoint:
            result = StreamingResponseWithStatusCode(
                experimental_agent.step_stream(
                    input_messages=request.messages,
--- a/poetry.lock
+++ b/poetry.lock
@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.

 [[package]]
 name = "aiohappyeyeballs"
@ -147,6 +147,25 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"

+[[package]]
+name = "aiosqlite"
+version = "0.21.0"
+description = "asyncio bridge to the standard sqlite3 module"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiosqlite-0.21.0-py3-none-any.whl", hash = "sha256:2549cf4057f95f53dcba16f2b64e8e2791d7e1adedb13197dd8ed77bb226d7d0"},
+    {file = "aiosqlite-0.21.0.tar.gz", hash = "sha256:131bb8056daa3bc875608c631c678cda73922a2d4ba8aec373b19f18c17e7aa3"},
+]
+
+[package.dependencies]
+typing_extensions = ">=4.0"
+
+[package.extras]
+dev = ["attribution (==1.7.1)", "black (==24.3.0)", "build (>=1.2)", "coverage[toml] (==7.6.10)", "flake8 (==7.0.0)", "flake8-bugbear (==24.12.12)", "flit (==3.10.1)", "mypy (==1.14.1)", "ufmt (==2.5.1)", "usort (==1.0.8.post1)"]
+docs = ["sphinx (==8.1.3)", "sphinx-mdinclude (==0.6.1)"]
+
 [[package]]
 name = "alembic"
 version = "1.15.2"
@ -2075,6 +2094,12 @@ files = [
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@ -2168,7 +2193,7 @@ description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "(extra == \"dev\" or extra == \"desktop\" or extra == \"all\") and platform_python_implementation == \"CPython\" or platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""
+markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or (extra == \"dev\" or extra == \"desktop\" or extra == \"all\") and platform_python_implementation == \"CPython\""
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@ -6430,69 +6455,69 @@ files = [

 [[package]]
 name = "sqlalchemy"
-version = "2.0.40"
+version = "2.0.41"
 description = "Database Abstraction Library"
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 python-versions = ">=3.7"
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 ]

 [package.dependencies]
@ -7587,4 +7612,4 @@ tests = ["wikipedia"]
 [metadata]
 lock-version = "2.1"
 python-versions = "<3.14,>=3.10"
-content-hash = "837f6a25033a01cca117f4c61bcf973bc6ccfcda442615bbf4af038061bf88ce"
+content-hash = "911953a472c1d904113530807858c47e249931dc311093a7276aeae895b53f8e"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -1,6 +1,6 @@
 [tool.poetry]
 name = "letta"
-version = "0.7.26"
+version = "0.7.27"
 packages = [
    {include = "letta"},
 ]
@ -36,7 +36,7 @@ fastapi = { version = "^0.115.6", optional = true}
 uvicorn = {version = "^0.24.0.post1", optional = true}
 pydantic = "^2.10.6"
 html2text = "^2020.1.16"
-sqlalchemy = "^2.0.25"
+sqlalchemy = {extras = ["asyncio"], version = "^2.0.41"}
 pexpect = {version = "^4.9.0", optional = true}
 pyright = {version = "^1.1.347", optional = true}
 qdrant-client = {version="^1.9.1", optional = true}
@ -92,6 +92,7 @@ aiomultiprocess = "^0.9.1"
 matplotlib = "^3.10.1"
 asyncpg = "^0.30.0"
 tavily-python = "^0.7.2"
+aiosqlite = "^0.21.0"


 [tool.poetry.extras]
--- a/tests/integration_test_voice_agent.py
+++ b/tests/integration_test_voice_agent.py
@ -586,6 +586,7 @@ def _modify(group_id, server, actor, max_val, min_val):
        actor=actor,
    )

+
 def test_valid_buffer_lengths_above_four(group_id, server, actor):
    # both > 4 and max > min
    updated = _modify(group_id, server, actor, max_val=10, min_val=5)
--- a/tests/test_base_functions.py
+++ b/tests/test_base_functions.py
@ -151,7 +151,7 @@ def test_archival(agent_obj):
 def test_recall(server, agent_obj, default_user):
    """Test that an agent can recall messages using a keyword via conversation search."""
    keyword = "banana"
-    keyword_backwards = "".join(reversed(keyword))
+    "".join(reversed(keyword))

    # Send messages
    for msg in ["hello", keyword, "tell me a fun fact"]: