feat: add tracing (#883)

letta/agent.py

@@ -60,6 +60,7 @@ from letta.services.tool_manager import ToolManager
 from letta.settings import summarizer_settings
 from letta.streaming_interface import StreamingRefreshCLIInterface
 from letta.system import get_heartbeat, get_token_limit_warning, package_function_response, package_summarize_message, package_user_message
+from letta.tracing import trace_method
 from letta.utils import (
     count_tokens,
     get_friendly_error_msg,
@@ -309,6 +310,7 @@ class Agent(BaseAgent):
         # Return updated messages
         return messages
 
+    @trace_method("Get AI Reply")
     def _get_ai_reply(
         self,
         message_sequence: List[Message],
@@ -399,6 +401,7 @@ class Agent(BaseAgent):
         log_telemetry(self.logger, "_handle_ai_response finish catch-all exception")
         raise Exception("Retries exhausted and no valid response received.")
 
+    @trace_method("Handle AI Response")
     def _handle_ai_response(
         self,
         response_message: ChatCompletionMessage,  # TODO should we eventually move the Message creation outside of this function?
@@ -633,6 +636,7 @@ class Agent(BaseAgent):
         log_telemetry(self.logger, "_handle_ai_response finish")
         return messages, heartbeat_request, function_failed
 
+    @trace_method("Agent Step")
     def step(
         self,
         messages: Union[Message, List[Message]],

letta/llm_api/llm_api_tools.py

@@ -31,6 +31,7 @@ from letta.schemas.openai.chat_completion_request import ChatCompletionRequest,
 from letta.schemas.openai.chat_completion_response import ChatCompletionResponse
 from letta.settings import ModelSettings
 from letta.streaming_interface import AgentChunkStreamingInterface, AgentRefreshStreamingInterface
+from letta.tracing import log_event, trace_method
 
 LLM_API_PROVIDER_OPTIONS = ["openai", "azure", "anthropic", "google_ai", "cohere", "local", "groq", "deepseek"]
 
@@ -70,9 +71,28 @@ def retry_with_exponential_backoff(
                 if http_err.response.status_code in error_codes:
                     # Increment retries
                     num_retries += 1
+                    log_event(
+                        "llm_retry_attempt",
+                        {
+                            "attempt": num_retries,
+                            "delay": delay,
+                            "status_code": http_err.response.status_code,
+                            "error_type": type(http_err).__name__,
+                            "error": str(http_err),
+                        },
+                    )
 
                     # Check if max retries has been reached
                     if num_retries > max_retries:
+                        log_event(
+                            "llm_max_retries_exceeded",
+                            {
+                                "max_retries": max_retries,
+                                "status_code": http_err.response.status_code,
+                                "error_type": type(http_err).__name__,
+                                "error": str(http_err),
+                            },
+                        )
                         raise RateLimitExceededError("Maximum number of retries exceeded", max_retries=max_retries)
 
                     # Increment the delay
@@ -86,15 +106,21 @@ def retry_with_exponential_backoff(
                     time.sleep(delay)
                 else:
                     # For other HTTP errors, re-raise the exception
+                    log_event(
+                        "llm_non_retryable_error",
+                        {"status_code": http_err.response.status_code, "error_type": type(http_err).__name__, "error": str(http_err)},
+                    )
                     raise
 
             # Raise exceptions for any errors not specified
             except Exception as e:
+                log_event("llm_unexpected_error", {"error_type": type(e).__name__, "error": str(e)})
                 raise e
 
     return wrapper
 
 
+@trace_method("LLM Request")
 @retry_with_exponential_backoff
 def create(
     # agent_state: AgentState,

letta/server/rest_api/app.py

@@ -231,6 +231,14 @@ def create_application() -> "FastAPI":
         allow_headers=["*"],
     )
 
+    # Set up OpenTelemetry tracing
+    endpoint = os.getenv("OTEL_EXPORTER_OTLP_ENDPOINT")
+    if endpoint:
+        print(f"▶ Using OTLP tracing with endpoint: {endpoint}")
+        from letta.tracing import setup_tracing
+
+        setup_tracing(endpoint=endpoint, service_name="memgpt-server")
+
     for route in v1_routes:
         app.include_router(route, prefix=API_PREFIX)
         # this gives undocumented routes for "latest" and bare api calls.

letta/server/rest_api/routers/v1/agents.py

@@ -23,6 +23,7 @@ from letta.schemas.tool import Tool
 from letta.schemas.user import User
 from letta.server.rest_api.utils import get_letta_server
 from letta.server.server import SyncServer
+from letta.tracing import trace_method
 
 # These can be forward refs, but because Fastapi needs them at runtime the must be imported normally
 
@@ -463,6 +464,7 @@ def modify_message(
     response_model=LettaResponse,
     operation_id="send_message",
 )
+@trace_method("POST /v1/agents/{agent_id}/messages")
 async def send_message(
     agent_id: str,
     server: SyncServer = Depends(get_letta_server),
@@ -501,6 +503,7 @@ async def send_message(
         }
     },
 )
+@trace_method("POST /v1/agents/{agent_id}/messages/stream")
 async def send_message_streaming(
     agent_id: str,
     server: SyncServer = Depends(get_letta_server),
@@ -512,7 +515,6 @@ async def send_message_streaming(
     This endpoint accepts a message from a user and processes it through the agent.
     It will stream the steps of the response always, and stream the tokens if 'stream_tokens' is set to True.
     """
-
     actor = server.user_manager.get_user_or_default(user_id=user_id)
     result = await server.send_message_to_agent(
         agent_id=agent_id,
@@ -577,6 +579,7 @@ async def process_message_background(
     response_model=Run,
     operation_id="create_agent_message_async",
 )
+@trace_method("POST /v1/agents/{agent_id}/messages/async")
 async def send_message_async(
     agent_id: str,
     background_tasks: BackgroundTasks,

letta/server/server.py

@@ -85,6 +85,7 @@ from letta.services.tool_execution_sandbox import ToolExecutionSandbox
 from letta.services.tool_manager import ToolManager
 from letta.services.user_manager import UserManager
 from letta.settings import model_settings, settings, tool_settings
+from letta.tracing import trace_method
 from letta.utils import get_friendly_error_msg
 
 config = LettaConfig.load()
@@ -1151,6 +1152,7 @@ class SyncServer(Server):
         actions = self.get_composio_client(api_key=api_key).actions.get(apps=[composio_app_name])
         return actions
 
+    @trace_method("Send Message")
     async def send_message_to_agent(
         self,
         agent_id: str,
@@ -1168,7 +1170,6 @@ class SyncServer(Server):
         metadata: Optional[dict] = None,
     ) -> Union[StreamingResponse, LettaResponse]:
         """Split off into a separate function so that it can be imported in the /chat/completion proxy."""
-
         # TODO: @charles is this the correct way to handle?
         include_final_message = True
 

letta/tracing.py

@@ -0,0 +1,205 @@
+import asyncio
+import inspect
+import sys
+import time
+from functools import wraps
+from typing import Any, Dict, Optional
+
+from fastapi import Request
+from opentelemetry import trace
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+from opentelemetry.instrumentation.requests import RequestsInstrumentor
+from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+from opentelemetry.trace import Status, StatusCode
+from opentelemetry.trace.span import Span
+
+# Get a tracer instance - will be no-op until setup_tracing is called
+tracer = trace.get_tracer(__name__)
+
+# Track if tracing has been initialized
+_is_tracing_initialized = False
+
+
+def is_pytest_environment():
+    """Check if we're running in pytest"""
+    return "pytest" in sys.modules
+
+
+def trace_method(name=None):
+    """Decorator to add tracing to a method"""
+
+    def decorator(func):
+        @wraps(func)
+        async def async_wrapper(*args, **kwargs):
+            # Skip tracing if not initialized
+            if not _is_tracing_initialized:
+                return await func(*args, **kwargs)
+
+            span_name = name or func.__name__
+            with tracer.start_as_current_span(span_name) as span:
+                span.set_attribute("code.namespace", inspect.getmodule(func).__name__)
+                span.set_attribute("code.function", func.__name__)
+
+                if len(args) > 0 and hasattr(args[0], "__class__"):
+                    span.set_attribute("code.class", args[0].__class__.__name__)
+
+                request = _extract_request_info(args, span)
+                if request and len(request) > 0:
+                    span.set_attribute("agent.id", kwargs.get("agent_id"))
+                    span.set_attribute("actor.id", request.get("http.user_id"))
+
+                try:
+                    result = await func(*args, **kwargs)
+                    span.set_status(Status(StatusCode.OK))
+                    return result
+                except Exception as e:
+                    span.set_status(Status(StatusCode.ERROR))
+                    span.record_exception(e)
+                    raise
+
+        @wraps(func)
+        def sync_wrapper(*args, **kwargs):
+            # Skip tracing if not initialized
+            if not _is_tracing_initialized:
+                return func(*args, **kwargs)
+
+            span_name = name or func.__name__
+            with tracer.start_as_current_span(span_name) as span:
+                span.set_attribute("code.namespace", inspect.getmodule(func).__name__)
+                span.set_attribute("code.function", func.__name__)
+
+                if len(args) > 0 and hasattr(args[0], "__class__"):
+                    span.set_attribute("code.class", args[0].__class__.__name__)
+
+                request = _extract_request_info(args, span)
+                if request and len(request) > 0:
+                    span.set_attribute("agent.id", kwargs.get("agent_id"))
+                    span.set_attribute("actor.id", request.get("http.user_id"))
+
+                try:
+                    result = func(*args, **kwargs)
+                    span.set_status(Status(StatusCode.OK))
+                    return result
+                except Exception as e:
+                    span.set_status(Status(StatusCode.ERROR))
+                    span.record_exception(e)
+                    raise
+
+        return async_wrapper if asyncio.iscoroutinefunction(func) else sync_wrapper
+
+    return decorator
+
+
+def log_attributes(attributes: Dict[str, Any]) -> None:
+    """
+    Log multiple attributes to the current active span.
+
+    Args:
+        attributes: Dictionary of attribute key-value pairs
+    """
+    current_span = trace.get_current_span()
+    if current_span:
+        current_span.set_attributes(attributes)
+
+
+def log_event(name: str, attributes: Optional[Dict[str, Any]] = None, timestamp: Optional[int] = None) -> None:
+    """
+    Log an event to the current active span.
+
+    Args:
+        name: Name of the event
+        attributes: Optional dictionary of event attributes
+        timestamp: Optional timestamp in nanoseconds
+    """
+    current_span = trace.get_current_span()
+    if current_span:
+        if timestamp is None:
+            timestamp = int(time.perf_counter_ns())
+
+        current_span.add_event(name=name, attributes=attributes, timestamp=timestamp)
+
+
+def get_trace_id() -> str:
+    current_span = trace.get_current_span()
+    if current_span:
+        return format(current_span.get_span_context().trace_id, "032x")
+    else:
+        return ""
+
+
+def request_hook(span, response):
+    """Hook to update span based on response status code"""
+    status_code = response.status_code
+    if 200 <= status_code < 400:
+        span.set_status(Status(StatusCode.OK))
+    else:
+        span.set_status(Status(StatusCode.ERROR))
+        span.set_attribute("error.message", f"HTTP {status_code}: {response.reason}")
+
+
+def setup_tracing(endpoint: str, service_name: str = "memgpt-server") -> None:
+    """
+    Sets up OpenTelemetry tracing with OTLP exporter for specific endpoints
+
+    Args:
+        endpoint: OTLP endpoint URL
+        service_name: Name of the service for tracing
+    """
+    global _is_tracing_initialized
+
+    # Skip tracing in pytest environment
+    if is_pytest_environment():
+        print("ℹ️ Skipping tracing setup in pytest environment")
+        return
+
+    # Create a Resource to identify our service
+    resource = Resource.create({"service.name": service_name, "service.namespace": "default", "deployment.environment": "production"})
+
+    # Initialize the TracerProvider with the resource
+    provider = TracerProvider(resource=resource)
+
+    # Only set up OTLP export if endpoint is provided
+    if endpoint:
+        otlp_exporter = OTLPSpanExporter(endpoint=endpoint)
+        processor = BatchSpanProcessor(otlp_exporter)
+        provider.add_span_processor(processor)
+        _is_tracing_initialized = True
+    else:
+        print("⚠️ Warning: Tracing endpoint not provided, tracing will be disabled")
+
+    # Set the global TracerProvider
+    trace.set_tracer_provider(provider)
+
+    # Initialize automatic instrumentation for the requests library with response hook
+    if _is_tracing_initialized:
+        RequestsInstrumentor().instrument(response_hook=request_hook)
+
+
+def _extract_request_info(args: tuple, span: Span) -> Dict[str, Any]:
+    """
+    Safely extracts request information from function arguments.
+    Works with both FastAPI route handlers and inner functions.
+    """
+    attributes = {}
+
+    # Look for FastAPI Request object in args
+    request = next((arg for arg in args if isinstance(arg, Request)), None)
+
+    if request:
+        attributes.update(
+            {
+                "http.route": request.url.path,
+                "http.method": request.method,
+                "http.scheme": request.url.scheme,
+                "http.target": str(request.url.path),
+                "http.url": str(request.url),
+                "http.flavor": request.scope.get("http_version", ""),
+                "http.client_ip": request.client.host if request.client else None,
+                "http.user_id": request.headers.get("user_id"),
+            }
+        )
+
+    span.set_attributes(attributes)
+    return attributes

poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -422,6 +422,10 @@ files = [
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@@ -434,8 +438,14 @@ files = [
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+    {file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"},
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@@ -446,8 +456,24 @@ files = [
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@@ -1164,13 +1206,13 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "faker"
-version = "36.1.0"
+version = "36.1.1"
 description = "Faker is a Python package that generates fake data for you."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "Faker-36.1.0-py3-none-any.whl", hash = "sha256:aa0b93487d3adf7cd89953d172e3df896cb7b35d8a5222c0da873edbe2f7adf5"},
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+    {file = "faker-36.1.1.tar.gz", hash = "sha256:7cb2bbd4c8f040e4a340ae4019e9a48b6cf1db6a71bda4e5a61d8d13b7bef28d"},
 ]
 
 [package.dependencies]
@@ -1616,6 +1658,23 @@ requests = ">=2.28.1,<3.0.0dev"
 typing-extensions = ">=4.11.0,<5.0.0dev"
 websockets = ">=13.0,<15.0dev"
 
+[[package]]
+name = "googleapis-common-protos"
+version = "1.67.0"
+description = "Common protobufs used in Google APIs"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "googleapis_common_protos-1.67.0.tar.gz", hash = "sha256:21398025365f138be356d5923e9168737d94d46a72aefee4a6110a1f23463c86"},
+]
+
+[package.dependencies]
+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
+
+[package.extras]
+grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+
 [[package]]
 name = "greenlet"
 version = "3.1.1"
@@ -2018,13 +2077,13 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "importlib-metadata"
-version = "8.6.1"
+version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"},
-    {file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
+    {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
+    {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
 ]
 
 [package.dependencies]
@@ -2036,7 +2095,7 @@ cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -2420,19 +2479,19 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "langchain"
-version = "0.3.18"
+version = "0.3.19"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain-0.3.18-py3-none-any.whl", hash = "sha256:1a6e629f02a25962aa5b16932e8f073248104a66804ed5af1f78618ad7c1d38d"},
-    {file = "langchain-0.3.18.tar.gz", hash = "sha256:311ac227a995545ff7c3f74c7767930c5349edef0b39f19d3105b86d39316b69"},
+    {file = "langchain-0.3.19-py3-none-any.whl", hash = "sha256:1e16d97db9106640b7de4c69f8f5ed22eeda56b45b9241279e83f111640eff16"},
+    {file = "langchain-0.3.19.tar.gz", hash = "sha256:b96f8a445f01d15d522129ffe77cc89c8468dbd65830d153a676de8f6b899e7b"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.34,<1.0.0"
+langchain-core = ">=0.3.35,<1.0.0"
 langchain-text-splitters = ">=0.3.6,<1.0.0"
 langsmith = ">=0.1.17,<0.4"
 numpy = [
@@ -2460,6 +2519,7 @@ mistralai = ["langchain-mistralai"]
 ollama = ["langchain-ollama"]
 openai = ["langchain-openai"]
 together = ["langchain-together"]
+xai = ["langchain-xai"]
 
 [[package]]
 name = "langchain-community"
@@ -2491,13 +2551,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.35"
+version = "0.3.36"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_core-0.3.35-py3-none-any.whl", hash = "sha256:81a4097226e180fa6c64e2d2ab38dcacbbc23b64fc109fb15622910fe8951670"},
-    {file = "langchain_core-0.3.35.tar.gz", hash = "sha256:328688228ece259da734417d477994a69cf8202dea9ed4271f2d792e3575c6fc"},
+    {file = "langchain_core-0.3.36-py3-none-any.whl", hash = "sha256:8410311862c7c674e4f3f120cfd8d1f3d003d6e7d8cb8f934746e222f7e865d9"},
+    {file = "langchain_core-0.3.36.tar.gz", hash = "sha256:dffdce8a554905f53f33c1d6a40633a45a8d47c17c5792753891dd73941cd57a"},
 ]
 
 [package.dependencies]
@@ -2514,17 +2574,17 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.3.5"
+version = "0.3.6"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_openai-0.3.5-py3-none-any.whl", hash = "sha256:137a7514f11afeab26e5fc1eda3c2b96fbbb18a96d963ba256faecceb189ea71"},
-    {file = "langchain_openai-0.3.5.tar.gz", hash = "sha256:40cd5649b93b1af20a20e1cbee5a47628a77e15114a11f9b3f2ab08c7d1302bf"},
+    {file = "langchain_openai-0.3.6-py3-none-any.whl", hash = "sha256:05f0869f6cc963e2ec9e2e54ea1038d9c2af784c67f0e217040dfc918b31649a"},
+    {file = "langchain_openai-0.3.6.tar.gz", hash = "sha256:7daf92e1cd98865ab5213ec5bec2cbd6c28f011e250714978b3a99c7e4fc88ce"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.34,<1.0.0"
+langchain-core = ">=0.3.35,<1.0.0"
 openai = ">=1.58.1,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -2586,13 +2646,13 @@ pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4,<14.0.0)"]
 
 [[package]]
 name = "letta-client"
-version = "0.1.29"
+version = "0.1.33"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "letta_client-0.1.29-py3-none-any.whl", hash = "sha256:72b1b5d69c9277e19fdb0ddeeb572fd0b8d10bd644ec6fd7ddf32c3704052ec6"},
-    {file = "letta_client-0.1.29.tar.gz", hash = "sha256:3fa4c9522be20457887142d24f579bc246244d713bd0d92c253785f007446f67"},
+    {file = "letta_client-0.1.33-py3-none-any.whl", hash = "sha256:7f10413164ae4b22f6b09fb75149c6313fae81e7dbd6fc705ff6b8078cbe8ae5"},
+    {file = "letta_client-0.1.33.tar.gz", hash = "sha256:eada44fbd2a84bcb801025888badd0fc785e34915d85e892ee462c23bd26c9f5"},
 ]
 
 [package.dependencies]
@@ -2638,19 +2698,19 @@ python-dotenv = ">=1.0.1,<2.0.0"
 
 [[package]]
 name = "llama-index"
-version = "0.12.17"
+version = "0.12.19"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index-0.12.17-py3-none-any.whl", hash = "sha256:d8938e5e6e5ff78b6865f7890a01d1a40818a5df798555ee6eb7f2c5ab65aeb0"},
-    {file = "llama_index-0.12.17.tar.gz", hash = "sha256:761a2dad3eb74bd5242ecf8fd28337c0c8745fc8d39d2f9f9b18bf733ad679f4"},
+    {file = "llama_index-0.12.19-py3-none-any.whl", hash = "sha256:5ff5d3d3ae7a321cfccf16e76f07393e1a84f177d357c650eb9a0c3d1ba8bce7"},
+    {file = "llama_index-0.12.19.tar.gz", hash = "sha256:a13e1f95e78ae4ec8a53019583a6ff67bdadff296e800af85cc276ad748ae799"},
 ]
 
 [package.dependencies]
 llama-index-agent-openai = ">=0.4.0,<0.5.0"
 llama-index-cli = ">=0.4.0,<0.5.0"
-llama-index-core = ">=0.12.17,<0.13.0"
+llama-index-core = ">=0.12.19,<0.13.0"
 llama-index-embeddings-openai = ">=0.3.0,<0.4.0"
 llama-index-indices-managed-llama-cloud = ">=0.4.0"
 llama-index-llms-openai = ">=0.3.0,<0.4.0"
@@ -2663,17 +2723,17 @@ nltk = ">3.8.1"
 
 [[package]]
 name = "llama-index-agent-openai"
-version = "0.4.5"
+version = "0.4.6"
 description = "llama-index agent openai integration"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_agent_openai-0.4.5-py3-none-any.whl", hash = "sha256:3fcadce03420a1974e6cf5ecd8e58337652df2f81d5f30033b3b32a576dc790a"},
-    {file = "llama_index_agent_openai-0.4.5.tar.gz", hash = "sha256:c09be43e01b3d5b2d8859814fcdabd000769ab1b54958a7025b3ce391147b005"},
+    {file = "llama_index_agent_openai-0.4.6-py3-none-any.whl", hash = "sha256:4103e479c874cb3426aa59a13f91b6e2dc6b350c51457966631f8bdaf9a6a8e8"},
+    {file = "llama_index_agent_openai-0.4.6.tar.gz", hash = "sha256:4f66c1731836ab66c4b441255a95f33a51743e4993b8aa9daf430cb31aa7d48e"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.12.11,<0.13.0"
+llama-index-core = ">=0.12.18,<0.13.0"
 llama-index-llms-openai = ">=0.3.0,<0.4.0"
 openai = ">=1.14.0"
 
@@ -2695,13 +2755,13 @@ llama-index-llms-openai = ">=0.3.0,<0.4.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.12.17"
+version = "0.12.19"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_core-0.12.17-py3-none-any.whl", hash = "sha256:867ec650a1f9eba9f6d65005045a68bc13bae8d65763e32029d9610360c03979"},
-    {file = "llama_index_core-0.12.17.tar.gz", hash = "sha256:2e8fb457983978af19db1ceba71d440f6891279525c5e7eb2ec73a6b727be113"},
+    {file = "llama_index_core-0.12.19-py3-none-any.whl", hash = "sha256:6dee42a7ed6de8873336f5725ad4e8131fee22c9eb70d98332eb124f5036d754"},
+    {file = "llama_index_core-0.12.19.tar.gz", hash = "sha256:4b5a6b024e7b9ccdfb2bfa471f8b02bef146109600cf5d011669394e97fc028c"},
 ]
 
 [package.dependencies]
@@ -2745,13 +2805,13 @@ openai = ">=1.1.0"
 
 [[package]]
 name = "llama-index-indices-managed-llama-cloud"
-version = "0.6.4"
+version = "0.6.7"
 description = "llama-index indices llama-cloud integration"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_indices_managed_llama_cloud-0.6.4-py3-none-any.whl", hash = "sha256:d7e85844a2e343dacebdef424decab3f5fd6361e25b3ff2bdcfb18607c1a49c5"},
-    {file = "llama_index_indices_managed_llama_cloud-0.6.4.tar.gz", hash = "sha256:0b45973cb2dc9702122006019bfb556dcabba31b0bdf79afc7b376ca8143df03"},
+    {file = "llama_index_indices_managed_llama_cloud-0.6.7-py3-none-any.whl", hash = "sha256:7cbe280ab03407f07a9ac034acf3bf2627a95d3868245f07c6242ce7ede264a8"},
+    {file = "llama_index_indices_managed_llama_cloud-0.6.7.tar.gz", hash = "sha256:b2a9020352b08e992327b25a3a9a056cb0d9397bc037aa498e5cfe451a0f07d9"},
 ]
 
 [package.dependencies]
@@ -2760,13 +2820,13 @@ llama-index-core = ">=0.12.0,<0.13.0"
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.3.19"
+version = "0.3.20"
 description = "llama-index llms openai integration"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_llms_openai-0.3.19-py3-none-any.whl", hash = "sha256:ad3c4a8c86aef181eba6b34cfff995a7c288d6bd5b99207438e25c051d80532d"},
-    {file = "llama_index_llms_openai-0.3.19.tar.gz", hash = "sha256:2e2dad70e7a9cb7a1519be1af4ba60c651a0039bc88888332a17922be00b0299"},
+    {file = "llama_index_llms_openai-0.3.20-py3-none-any.whl", hash = "sha256:45bb71197ec990cb67d2ea99287572d4575279fcefc77f5b7cfbaa4d467dc6c9"},
+    {file = "llama_index_llms_openai-0.3.20.tar.gz", hash = "sha256:21f19c76a7241321e546f8c565a1ccbd4035ebfb39e8de6c9d83d705282619d4"},
 ]
 
 [package.dependencies]
@@ -2872,37 +2932,34 @@ llama-cloud-services = ">=0.6.1"
 
 [[package]]
 name = "locust"
-version = "2.32.9"
+version = "2.32.10"
 description = "Developer-friendly load testing framework"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "locust-2.32.9-py3-none-any.whl", hash = "sha256:d9447c26d2bbaec5a0ace7cadefa1a31820ed392234257b309965a43d5e8d26f"},
-    {file = "locust-2.32.9.tar.gz", hash = "sha256:4c297afa5cdc3de15dfa79279576e5f33c1d69dd70006b51d079dcbd212201cc"},
+    {file = "locust-2.32.10-py3-none-any.whl", hash = "sha256:f2e8567a070b17048049022981566af4c6f5944db215b129dee6ed69379277f1"},
+    {file = "locust-2.32.10.tar.gz", hash = "sha256:09dc28a788cdcd5b0c5ec5b34e2577e45f9b43d349b8614b74f0de86779c8856"},
 ]
 
 [package.dependencies]
-ConfigArgParse = ">=1.5.5"
+configargparse = ">=1.5.5"
 flask = ">=2.0.0"
-Flask-Cors = ">=3.0.10"
-Flask-Login = ">=0.6.3"
-gevent = [
-    {version = ">=22.10.2", markers = "python_full_version <= \"3.12.0\""},
-    {version = ">=24.10.1", markers = "python_full_version > \"3.13.0\""},
-]
+flask-cors = ">=3.0.10"
+flask-login = ">=0.6.3"
+gevent = {version = ">=22.10.2", markers = "python_version <= \"3.12\""}
 geventhttpclient = ">=2.3.1"
 msgpack = ">=1.0.0"
 psutil = ">=5.9.1"
 pywin32 = {version = "*", markers = "sys_platform == \"win32\""}
 pyzmq = ">=25.0.0"
 requests = [
-    {version = ">=2.26.0", markers = "python_full_version <= \"3.11.0\""},
-    {version = ">=2.32.2", markers = "python_full_version > \"3.11.0\""},
+    {version = ">=2.26.0", markers = "python_version <= \"3.11\""},
+    {version = ">=2.32.2", markers = "python_version > \"3.11\""},
 ]
 setuptools = ">=70.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing_extensions = {version = ">=4.6.0", markers = "python_version < \"3.11\""}
-Werkzeug = ">=2.0.0"
+typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.11\""}
+werkzeug = ">=2.0.0"
 
 [[package]]
 name = "mako"
@@ -3406,13 +3463,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.62.0"
+version = "1.63.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.62.0-py3-none-any.whl", hash = "sha256:dcb7f9fb4fbc3f27e3ffd2d7bf045be9211510d7fafefcef7ad2302cb27484e0"},
-    {file = "openai-1.62.0.tar.gz", hash = "sha256:ef3f6864ae2f75fa6296bc9811acf684b95557fcb611fe95734215a8b9150b43"},
+    {file = "openai-1.63.2-py3-none-any.whl", hash = "sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4"},
+    {file = "openai-1.63.2.tar.gz", hash = "sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360"},
 ]
 
 [package.dependencies]
@@ -3429,6 +3486,183 @@ typing-extensions = ">=4.11,<5"
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<15)"]
 
+[[package]]
+name = "opentelemetry-api"
+version = "1.30.0"
+description = "OpenTelemetry Python API"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_api-1.30.0-py3-none-any.whl", hash = "sha256:d5f5284890d73fdf47f843dda3210edf37a38d66f44f2b5aedc1e89ed455dc09"},
+    {file = "opentelemetry_api-1.30.0.tar.gz", hash = "sha256:375893400c1435bf623f7dfb3bcd44825fe6b56c34d0667c542ea8257b1a1240"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+importlib-metadata = ">=6.0,<=8.5.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp"
+version = "1.30.0"
+description = "OpenTelemetry Collector Exporters"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_exporter_otlp-1.30.0-py3-none-any.whl", hash = "sha256:44e11054ec571ccfed73a83c6429dee5d334d061d0e0572e3160d6de97156dbc"},
+    {file = "opentelemetry_exporter_otlp-1.30.0.tar.gz", hash = "sha256:da7769f95cd5be5b09dd4188ac153a33709eda652217f2d10aed6518c8e60f0d"},
+]
+
+[package.dependencies]
+opentelemetry-exporter-otlp-proto-grpc = "1.30.0"
+opentelemetry-exporter-otlp-proto-http = "1.30.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-common"
+version = "1.30.0"
+description = "OpenTelemetry Protobuf encoding"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_exporter_otlp_proto_common-1.30.0-py3-none-any.whl", hash = "sha256:5468007c81aa9c44dc961ab2cf368a29d3475977df83b4e30aeed42aa7bc3b38"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.30.0.tar.gz", hash = "sha256:ddbfbf797e518411857d0ca062c957080279320d6235a279f7b64ced73c13897"},
+]
+
+[package.dependencies]
+opentelemetry-proto = "1.30.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-grpc"
+version = "1.30.0"
+description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.30.0-py3-none-any.whl", hash = "sha256:2906bcae3d80acc54fd1ffcb9e44d324e8631058b502ebe4643ca71d1ff30830"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.30.0.tar.gz", hash = "sha256:d0f10f0b9b9a383b7d04a144d01cb280e70362cccc613987e234183fd1f01177"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+googleapis-common-protos = ">=1.52,<2.0"
+grpcio = ">=1.63.2,<2.0.0"
+opentelemetry-api = ">=1.15,<2.0"
+opentelemetry-exporter-otlp-proto-common = "1.30.0"
+opentelemetry-proto = "1.30.0"
+opentelemetry-sdk = ">=1.30.0,<1.31.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-http"
+version = "1.30.0"
+description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_exporter_otlp_proto_http-1.30.0-py3-none-any.whl", hash = "sha256:9578e790e579931c5ffd50f1e6975cbdefb6a0a0a5dea127a6ae87df10e0a589"},
+    {file = "opentelemetry_exporter_otlp_proto_http-1.30.0.tar.gz", hash = "sha256:c3ae75d4181b1e34a60662a6814d0b94dd33b628bee5588a878bed92cee6abdc"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+googleapis-common-protos = ">=1.52,<2.0"
+opentelemetry-api = ">=1.15,<2.0"
+opentelemetry-exporter-otlp-proto-common = "1.30.0"
+opentelemetry-proto = "1.30.0"
+opentelemetry-sdk = ">=1.30.0,<1.31.0"
+requests = ">=2.7,<3.0"
+
+[[package]]
+name = "opentelemetry-instrumentation"
+version = "0.51b0"
+description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_instrumentation-0.51b0-py3-none-any.whl", hash = "sha256:c6de8bd26b75ec8b0e54dff59e198946e29de6a10ec65488c357d4b34aa5bdcf"},
+    {file = "opentelemetry_instrumentation-0.51b0.tar.gz", hash = "sha256:4ca266875e02f3988536982467f7ef8c32a38b8895490ddce9ad9604649424fa"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.4,<2.0"
+opentelemetry-semantic-conventions = "0.51b0"
+packaging = ">=18.0"
+wrapt = ">=1.0.0,<2.0.0"
+
+[[package]]
+name = "opentelemetry-instrumentation-requests"
+version = "0.51b0"
+description = "OpenTelemetry requests instrumentation"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_instrumentation_requests-0.51b0-py3-none-any.whl", hash = "sha256:0723aaafaeb2a825723f31c0bf644f9642377046063d1a52fc86571ced87feac"},
+    {file = "opentelemetry_instrumentation_requests-0.51b0.tar.gz", hash = "sha256:e7f4bd3ffcab6ebcce8a1c652af218e050354c8e7cac2c34814292d4de75167a"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-instrumentation = "0.51b0"
+opentelemetry-semantic-conventions = "0.51b0"
+opentelemetry-util-http = "0.51b0"
+
+[package.extras]
+instruments = ["requests (>=2.0,<3.0)"]
+
+[[package]]
+name = "opentelemetry-proto"
+version = "1.30.0"
+description = "OpenTelemetry Python Proto"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_proto-1.30.0-py3-none-any.whl", hash = "sha256:c6290958ff3ddacc826ca5abbeb377a31c2334387352a259ba0df37c243adc11"},
+    {file = "opentelemetry_proto-1.30.0.tar.gz", hash = "sha256:afe5c9c15e8b68d7c469596e5b32e8fc085eb9febdd6fb4e20924a93a0389179"},
+]
+
+[package.dependencies]
+protobuf = ">=5.0,<6.0"
+
+[[package]]
+name = "opentelemetry-sdk"
+version = "1.30.0"
+description = "OpenTelemetry Python SDK"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_sdk-1.30.0-py3-none-any.whl", hash = "sha256:14fe7afc090caad881addb6926cec967129bd9260c4d33ae6a217359f6b61091"},
+    {file = "opentelemetry_sdk-1.30.0.tar.gz", hash = "sha256:c9287a9e4a7614b9946e933a67168450b9ab35f08797eb9bc77d998fa480fa18"},
+]
+
+[package.dependencies]
+opentelemetry-api = "1.30.0"
+opentelemetry-semantic-conventions = "0.51b0"
+typing-extensions = ">=3.7.4"
+
+[[package]]
+name = "opentelemetry-semantic-conventions"
+version = "0.51b0"
+description = "OpenTelemetry Semantic Conventions"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_semantic_conventions-0.51b0-py3-none-any.whl", hash = "sha256:fdc777359418e8d06c86012c3dc92c88a6453ba662e941593adb062e48c2eeae"},
+    {file = "opentelemetry_semantic_conventions-0.51b0.tar.gz", hash = "sha256:3fabf47f35d1fd9aebcdca7e6802d86bd5ebc3bc3408b7e3248dde6e87a18c47"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+opentelemetry-api = "1.30.0"
+
+[[package]]
+name = "opentelemetry-util-http"
+version = "0.51b0"
+description = "Web util for OpenTelemetry"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "opentelemetry_util_http-0.51b0-py3-none-any.whl", hash = "sha256:0561d7a6e9c422b9ef9ae6e77eafcfcd32a2ab689f5e801475cbb67f189efa20"},
+    {file = "opentelemetry_util_http-0.51b0.tar.gz", hash = "sha256:05edd19ca1cc3be3968b1e502fd94816901a365adbeaab6b6ddb974384d3a0b9"},
+]
+
 [[package]]
 name = "orjson"
 version = "3.10.15"
@@ -4019,32 +4253,25 @@ files = [
 
 [[package]]
 name = "psutil"
-version = "6.1.1"
-description = "Cross-platform lib for process and system monitoring in Python."
+version = "7.0.0"
+description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+python-versions = ">=3.6"
 files = [
-    {file = "psutil-6.1.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:9ccc4316f24409159897799b83004cb1e24f9819b0dcf9c0b68bdcb6cefee6a8"},
-    {file = "psutil-6.1.1-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:ca9609c77ea3b8481ab005da74ed894035936223422dc591d6772b147421f777"},
-    {file = "psutil-6.1.1-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:8df0178ba8a9e5bc84fed9cfa61d54601b371fbec5c8eebad27575f1e105c0d4"},
-    {file = "psutil-6.1.1-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:1924e659d6c19c647e763e78670a05dbb7feaf44a0e9c94bf9e14dfc6ba50468"},
-    {file = "psutil-6.1.1-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:018aeae2af92d943fdf1da6b58665124897cfc94faa2ca92098838f83e1b1bca"},
-    {file = "psutil-6.1.1-cp27-none-win32.whl", hash = "sha256:6d4281f5bbca041e2292be3380ec56a9413b790579b8e593b1784499d0005dac"},
-    {file = "psutil-6.1.1-cp27-none-win_amd64.whl", hash = "sha256:c777eb75bb33c47377c9af68f30e9f11bc78e0f07fbf907be4a5d70b2fe5f030"},
-    {file = "psutil-6.1.1-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:fc0ed7fe2231a444fc219b9c42d0376e0a9a1a72f16c5cfa0f68d19f1a0663e8"},
-    {file = "psutil-6.1.1-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:0bdd4eab935276290ad3cb718e9809412895ca6b5b334f5a9111ee6d9aff9377"},
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 [package.extras]
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 test = ["pytest", "pytest-xdist", "setuptools"]
 
 [[package]]
@@ -4168,53 +4395,53 @@ tests = ["pytest"]
 
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 ]
 
 [package.extras]
@@ -5616,42 +5843,42 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tiktoken"
-version = "0.8.0"
+version = "0.9.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -6570,4 +6797,4 @@ tests = ["wikipedia"]
 [metadata]
 lock-version = "2.0"
 python-versions = "<3.14,>=3.10"
-content-hash = "37167dffe2006e220123bbc64f6bd91ab44e363d6950dd73c9eacc4d056daeb7"
+content-hash = "7f256d27a3441c2d32a8597f8ec807364f85d15b160b67dfa5959693c1ddbf8b"

pyproject.toml

@@ -78,6 +78,10 @@ e2b-code-interpreter = {version = "^1.0.3", optional = true}
 anthropic = "^0.43.0"
 letta_client = "^0.1.23"
 openai = "^1.60.0"
+opentelemetry-api = "1.30.0"
+opentelemetry-sdk = "1.30.0"
+opentelemetry-instrumentation-requests = "0.51b0"
+opentelemetry-exporter-otlp = "1.30.0"
 google-genai = {version = "^1.1.0", optional = true}
 faker = "^36.1.0"
 colorama = "^0.4.6"