diff --git a/Makefile b/Makefile
index d7518678..4c0c8c27 100644
--- a/Makefile
+++ b/Makefile
@@ -21,7 +21,7 @@ poetry-remove:
 install:
 	poetry lock -n && poetry export --without-hashes > requirements.txt
 	poetry install -n
-	-poetry run mypy --install-types --non-interactive ./
+	poetry run mypy --install-types --non-interactive ./
 
 .PHONY: pre-commit-install
 pre-commit-install:
diff --git a/parea/api_client.py b/parea/api_client.py
index 1546a5e2..4909662b 100644
--- a/parea/api_client.py
+++ b/parea/api_client.py
@@ -1,11 +1,16 @@
 from typing import Any, Optional
 
+import os
+
 import httpx
+from dotenv import load_dotenv
+
+load_dotenv()
 
 
 class HTTPClient:
     _instance = None
-    base_url = "https://optimus-prompt-backend.vercel.app/api/parea/v1"
+    base_url = os.getenv("DEV_HOST") or "https://optimus-prompt-backend.vercel.app/api/parea/v1"
     api_key = None
 
     def __new__(cls, *args, **kwargs):
diff --git a/parea/client.py b/parea/client.py
index 748bedc3..491e2c1e 100644
--- a/parea/client.py
+++ b/parea/client.py
@@ -3,12 +3,13 @@
 from attrs import asdict, define, field
 
 from parea.api_client import HTTPClient
-from parea.schemas.models import Completion, CompletionResponse, FeedbackRequest, LogRequest, UseDeployedPrompt, UseDeployedPromptResponse
+from parea.parea_logger import parea_logger
+from parea.schemas.models import Completion, CompletionResponse, FeedbackRequest, UseDeployedPrompt, UseDeployedPromptResponse
+from parea.utils.trace_utils import get_current_trace_id
 
 COMPLETION_ENDPOINT = "/completion"
 DEPLOYED_PROMPT_ENDPOINT = "/deployed-prompt"
 RECORD_FEEDBACK_ENDPOINT = "/feedback"
-LOG_ENDPOINT = "/log"
 
 
 @define
@@ -18,8 +19,10 @@ class Parea:
 
     def __attrs_post_init__(self):
         self._client.set_api_key(self.api_key)
+        parea_logger.set_client(self._client)
 
     def completion(self, data: Completion) -> CompletionResponse:
+        data.inference_id = get_current_trace_id()
         r = self._client.request(
             "POST",
             COMPLETION_ENDPOINT,
@@ -28,6 +31,7 @@ def completion(self, data: Completion) -> CompletionResponse:
         return CompletionResponse(**r.json())
 
     async def acompletion(self, data: Completion) -> CompletionResponse:
+        data.inference_id = get_current_trace_id()
         r = await self._client.request_async(
             "POST",
             COMPLETION_ENDPOINT,
@@ -65,20 +69,6 @@ async def arecord_feedback(self, data: FeedbackRequest) -> None:
             data=asdict(data),
         )
 
-    def log(self, data: LogRequest) -> None:
-        self._client.request(
-            "POST",
-            LOG_ENDPOINT,
-            data=asdict(data),
-        )
-
-    async def alog(self, data: LogRequest) -> None:
-        await self._client.request_async(
-            "POST",
-            LOG_ENDPOINT,
-            data=asdict(data),
-        )
-
 
 def gen_trace_id() -> str:
     """Generate a unique trace id for each chain of requests"""
diff --git a/parea/cookbook/tracing_with_parea_sdk.py b/parea/cookbook/tracing_with_parea_sdk.py
index 0b52e1b4..a3e71b16 100644
--- a/parea/cookbook/tracing_with_parea_sdk.py
+++ b/parea/cookbook/tracing_with_parea_sdk.py
@@ -1,50 +1,123 @@
-from typing import Optional, Tuple
-
 import os
+import time
 from datetime import datetime
 
 from dotenv import load_dotenv
 
 from parea import Parea
-from parea.client import gen_trace_id
-from parea.schemas.models import Completion, CompletionResponse, FeedbackRequest
+from parea.schemas.models import Completion, CompletionResponse, FeedbackRequest, LLMInputs, Message, ModelParams
+from parea.utils.trace_utils import get_current_trace_id, trace
 
 load_dotenv()
 
-p = Parea(api_key=os.getenv("PAREA_API_KEY"))
+p = Parea(api_key=os.getenv("DEV_API_KEY"))
+
+
+LIMIT = 10
+
+
+def dump_task(task):
+    d = ""
+    for tasklet in task:
+        d += f"\n{tasklet.get('task_name','')}"
+    d = d.strip()
+    return d
+
+
+@trace
+def call_openai(
+    data: list[dict],
+    model: str = "gpt-3.5-turbo",
+    temperature: float = 0.0,
+) -> CompletionResponse:
+    return p.completion(
+        data=Completion(
+            llm_configuration=LLMInputs(
+                model=model,
+                provider="openai",
+                model_params=ModelParams(temp=temperature),
+                messages=[Message(**d) for d in data],
+            )
+        )
+    )
+
+
+@trace
+def argument_generator(query: str, additional_description: str = "") -> str:
+    return call_openai(
+        [
+            {
+                "role": "system",
+                "content": f"You are a debater making an argument on a topic." f"{additional_description}" f" The current time is {datetime.now()}",
+            },
+            {"role": "user", "content": f"The discussion topic is {query}"},
+        ]
+    ).content
+
+
+@trace
+def critic(argument: str) -> str:
+    return call_openai(
+        [
+            {
+                "role": "system",
+                "content": f"You are a critic."
+                "\nWhat unresolved questions or criticism do you have after reading the following argument?"
+                "Provide a concise summary of your feedback.",
+            },
+            {"role": "system", "content": argument},
+        ]
+    ).content
+
+
+@trace
+def refiner(query: str, additional_description: str, current_arg: str, criticism: str) -> str:
+    return call_openai(
+        [
+            {
+                "role": "system",
+                "content": f"You are a debater making an argument on a topic. {additional_description}. " f"The current time is {datetime.now()}",
+            },
+            {"role": "user", "content": f"The discussion topic is {query}"},
+            {"role": "assistant", "content": current_arg},
+            {"role": "user", "content": criticism},
+            {
+                "role": "system",
+                "content": "Please generate a new argument that incorporates the feedback from the user.",
+            },
+        ]
+    ).content
 
 
-# We pass the deployment_id and the required inputs to the completion function along with the trace_id
-def argument_generator(query: str, additional_description: str = "", trace_id: Optional[str] = None, **kwargs) -> str:
+@trace
+def deployed_argument_generator(query: str, additional_description: str = "") -> str:
     return p.completion(
         Completion(
-            deployment_id="p-RG8d9sssc_0cctwfpb_n6",
+            deployment_id="p-Ar-Oi14-nBxHUiradyql9",
             llm_inputs={
                 "additional_description": additional_description,
                 "date": f"{datetime.now()}",
                 "query": query,
             },
-            trace_id=trace_id,
-            **kwargs,
         )
     ).content
 
 
-def critic(argument: str, trace_id: Optional[str] = None, **kwargs) -> str:
+@trace
+def deployed_critic(argument: str) -> str:
     return p.completion(
         Completion(
-            deployment_id="p-fXgZytVVVJjXD_71TDR4s",
+            deployment_id="p-W2yPy93tAczYrxkipjli6",
             llm_inputs={"argument": argument},
-            trace_id=trace_id,
-            **kwargs,
         )
     ).content
 
 
-def refiner(query: str, additional_description: str, current_arg: str, criticism: str, trace_id: Optional[str] = None, **kwargs) -> str:
+@trace
+def deployed_refiner(query: str, additional_description: str, current_arg: str, criticism: str) -> str:
     return p.completion(
         Completion(
-            deployment_id="p--G2s9okMTWWWh3d8YqLY2",
+            deployment_id="p-8Er1Xo0GDGF2xtpmMOpbn",
             llm_inputs={
                 "additional_description": additional_description,
                 "date": f"{datetime.now()}",
@@ -52,32 +125,49 @@ def refiner(query: str, additional_description: str, current_arg: str, criticism
                 "current_arg": current_arg,
                 "criticism": criticism,
             },
-            trace_id=trace_id,
-            **kwargs,
         )
     ).content
 
 
-# This is the parent function which orchestrates the chaining. We'll define our trace_id and trace_name here
+@trace
 def argument_chain(query: str, additional_description: str = "") -> str:
-    trace_id, trace_name = gen_trace_id(), "argument_chain"
-    argument = argument_generator(query, additional_description, trace_id, trace_name=trace_name)
-    criticism = critic(argument, trace_id)
-    return refiner(query, additional_description, argument, criticism, trace_id)
+    argument = argument_generator(query, additional_description)
+    criticism = critic(argument)
+    return refiner(query, additional_description, argument, criticism)
 
 
+@trace
 def argument_chain2(query: str, additional_description: str = "") -> tuple[str, str]:
-    trace_id, trace_name = gen_trace_id(), "argument_chain"
-    argument = argument_generator(query, additional_description, trace_id, trace_name=trace_name)
-    criticism = critic(argument, trace_id)
-    return refiner(query, additional_description, argument, criticism, trace_id), trace_id
+    trace_id = get_current_trace_id()
+    argument = argument_generator(query, additional_description)
+    criticism = critic(argument)
+    return refiner(query, additional_description, argument, criticism), trace_id
+
+
+@trace
+def refiner2(query: str, additional_description: str, current_arg: str, criticism: str) -> CompletionResponse:
+    return call_openai(
+        [
+            {
+                "role": "system",
+                "content": f"You are a debater making an argument on a topic. {additional_description}. The current time is {datetime.now()}",
+            },
+            {"role": "user", "content": f"The discussion topic is {query}"},
+            {"role": "assistant", "content": current_arg},
+            {"role": "user", "content": criticism},
+            {
+                "role": "system",
+                "content": "Please generate a new argument that incorporates the feedback from the user.",
+            },
+        ]
+    )
 
 
-# let's return the full CompletionResponse to see what other information is returned
-def refiner2(query: str, additional_description: str, current_arg: str, criticism: str, trace_id: Optional[str] = None, **kwargs) -> CompletionResponse:
+@trace
+def deployed_refiner2(query: str, additional_description: str, current_arg: str, criticism: str) -> CompletionResponse:
     return p.completion(
         Completion(
-            deployment_id="p--G2s9okMTvBEh3d8YqLY2",
+            deployment_id="p-8Er1Xo0GDGF2xtpmMOpbn",
             llm_inputs={
                 "additional_description": additional_description,
                 "date": f"{datetime.now()}",
@@ -85,31 +175,179 @@ def refiner2(query: str, additional_description: str, current_arg: str, criticis
                 "current_arg": current_arg,
                 "criticism": criticism,
             },
-            trace_id=trace_id,
-            **kwargs,
         )
     )
 
 
+@trace(
+    tags=["cookbook-example", "feedback_tracked"],
+    metadata={"source": "python-sdk"},
+)
 def argument_chain3(query: str, additional_description: str = "") -> CompletionResponse:
-    trace_id, parent_trace_name = gen_trace_id(), "argument_chain"
-    tags = ["tutorial"]
-    metadata = {"githash": "e38f04c83"}
-    argument = argument_generator(query, additional_description, trace_id, trace_name=parent_trace_name, tags=tags, metadata=metadata)
-    criticism = critic(argument, trace_id)
-    return refiner2(query, additional_description, argument, criticism, trace_id)
+    argument = argument_generator(query, additional_description)
+    criticism = critic(argument)
+    return refiner2(query, additional_description, argument, criticism)
+
+
+@trace
+def deployed_argument_chain(query: str, additional_description: str = "") -> str:
+    argument = deployed_argument_generator(query, additional_description)
+    criticism = deployed_critic(argument)
+    return deployed_refiner(query, additional_description, argument, criticism)
+
+
+@trace
+def deployed_argument_chain2(query: str, additional_description: str = "") -> tuple[str, str]:
+    trace_id = get_current_trace_id()
+    argument = deployed_argument_generator(query, additional_description)
+    criticism = deployed_critic(argument)
+    return deployed_refiner(query, additional_description, argument, criticism), trace_id
+
+
+@trace(
+    tags=["cookbook-example-deployed", "feedback_tracked-deployed"],
+    metadata={"source": "python-sdk", "deployed": True},
+)
+def deployed_argument_chain3(query: str, additional_description: str = "") -> CompletionResponse:
+    argument = deployed_argument_generator(query, additional_description)
+    criticism = deployed_critic(argument)
+    return deployed_refiner2(query, additional_description, argument, criticism)
+
+
+@trace
+def expound_task(main_objective: str, current_task: str) -> list[dict[str, str]]:
+    prompt = [
+        {
+            "role": "system",
+            "content": f"You are an AI who performs one task based on the following objective: {main_objective}\n" f"Your task: {current_task}\nResponse:",
+        },
+    ]
+    response = call_openai(prompt).content
+    new_tasks = response.split("\n") if "\n" in response else [response]
+    return [{"task_name": task_name} for task_name in new_tasks]
+
+
+@trace
+def generate_tasks(main_objective: str, expounded_initial_task: list[dict[str, str]]) -> list[str]:
+    task_expansion = dump_task(expounded_initial_task)
+    prompt = [
+        {
+            "role": "system",
+            "content": (
+                f"You are an AI who creates tasks based on the following MAIN OBJECTIVE: {main_objective}\n"
+                f"Create tasks pertaining directly to your previous research here:\n"
+                f"{task_expansion}\nResponse:"
+            ),
+        },
+    ]
+    response = call_openai(prompt).content
+    new_tasks = response.split("\n") if "\n" in response else [response]
+    task_list = [{"task_name": task_name} for task_name in new_tasks]
+    new_tasks_list: list[str] = []
+    for task_item in task_list:
+        task_description = task_item.get("task_name")
+        if task_description:
+            task_parts = task_description.strip().split(".", 1)
+            if len(task_parts) == 2:
+                new_task = task_parts[1].strip()
+                new_tasks_list.append(new_task)
+
+    return new_tasks_list
+
+
+@trace
+def run_agent(main_objective: str, initial_task: str = "") -> tuple[list[dict[str, str]], str]:
+    trace_id = get_current_trace_id()
+    generated_tasks = []
+    expounded_initial_task = expound_task(main_objective, initial_task)
+    new_tasks = generate_tasks(main_objective, expounded_initial_task)
+    task_counter = 0
+    for task in new_tasks or []:
+        task_counter += 1
+        q = expound_task(main_objective, task)
+        exp = dump_task(q)
+        generated_tasks.append({f"task_{task_counter}": exp})
+        if task_counter >= LIMIT:
+            break
+    return generated_tasks, trace_id
 
 
 if __name__ == "__main__":
-    result, trace_id = argument_chain2(
+    result = argument_chain(
+        "Whether coffee is good for you.",
+        additional_description="Provide a concise, few sentence argument on why coffee is good for you.",
+    )
+    print(result)
+
+    result2, trace_id = argument_chain2(
+        "Whether wine is good for you.",
+        additional_description="Provide a concise, few sentence argument on why wine is good for you.",
+    )
+    time.sleep(3)
+    p.record_feedback(
+        FeedbackRequest(
+            trace_id=trace_id,
+            score=0.0,  # 0.0 (bad) to 1.0 (good)
+            target="Moonshine is wonderful.",
+        )
+    )
+    print(result2)
+
+    result3 = argument_chain3(
         "Whether moonshine is good for you.",
         additional_description="Provide a concise, few sentence argument on why moonshine is good for you.",
     )
+    time.sleep(3)
     p.record_feedback(
         FeedbackRequest(
-            trace_id=trace_id,
+            trace_id=result3.inference_id,
             score=0.7,  # 0.0 (bad) to 1.0 (good)
             target="Moonshine is wonderful. End of story.",
         )
     )
-    print(result)
+    print(result3.content)
+
+    result4, trace_id2 = run_agent("Become a machine learning expert.", "Learn about tensors.")
+    time.sleep(3)
+    p.record_feedback(
+        FeedbackRequest(
+            trace_id=trace_id2,
+            score=0.642,  # 0.0 (bad) to 1.0 (good)
+            target="Do both!.",
+        )
+    )
+    print(result4)
+
+    result5 = deployed_argument_chain(
+        "Whether coffee is good for you.",
+        additional_description="Provide a concise, few sentence argument on why coffee is good for you.",
+    )
+    print(result5)
+
+    result6, trace_id3 = deployed_argument_chain2(
+        "Whether wine is good for you.",
+        additional_description="Provide a concise, few sentence argument on why wine is good for you.",
+    )
+    time.sleep(3)
+    p.record_feedback(
+        FeedbackRequest(
+            trace_id=trace_id3,
+            score=0.0,  # 0.0 (bad) to 1.0 (good)
+            target="Moonshine is wonderful.",
+        )
+    )
+    print(result6)
+
+    result7 = deployed_argument_chain3(
+        "Whether moonshine is good for you.",
+        additional_description="Provide a concise, few sentence argument on why moonshine is good for you.",
+    )
+    time.sleep(3)
+    p.record_feedback(
+        FeedbackRequest(
+            trace_id=result7.inference_id,
+            score=0.7,  # 0.0 (bad) to 1.0 (good)
+            target="Moonshine is wonderful. End of story.",
+        )
+    )
+    print(result7.error or result7.content)
diff --git a/parea/example.py b/parea/example.py
index ab427912..37c1ed1f 100644
--- a/parea/example.py
+++ b/parea/example.py
@@ -1,50 +1,2 @@
-import asyncio
-import os
-
-from dotenv import load_dotenv
-
-from parea.client import Parea
-from parea.schemas.models import Completion, CompletionResponse, UseDeployedPrompt, UseDeployedPromptResponse
-
-load_dotenv()
-
-p = Parea(api_key=os.getenv("API_KEY"))
-
-# You will find this deployment_id in the Parea dashboard
-deployment_id = os.getenv("DEPLOYMENT_ID")
-# Assuming your deployed prompt's message is:
-# {"role": "user", "content": "Write a hello world program using {{x}} and the {{y}} framework."}
-llm_inputs = {"x": "Golang", "y": "Fiber"}
-
-# You can easily unpack a dictionary into an attrs class
-test_completion = Completion(**{"deployment_id": deployment_id, "llm_inputs": llm_inputs, "metadata": {"purpose": "testing"}})
-
-# By passing in my inputs, in addition to the raw message with unfilled variables {{x}} and {{y}},
-# you we will also get the filled-in prompt:
-# {"role": "user", "content": "Write a hello world program using Golang and the Fiber framework."}
-test_get_prompt = UseDeployedPrompt(deployment_id=deployment_id, llm_inputs=llm_inputs)
-
-
-def main():
-    completion_response: CompletionResponse = p.completion(data=test_completion)
-    print(completion_response)
-    deployed_prompt: UseDeployedPromptResponse = p.get_prompt(data=test_get_prompt)
-    print("\n\n")
-    print(deployed_prompt)
-
-
-async def main_async():
-    completion_response: CompletionResponse = await p.acompletion(data=test_completion)
-    print(completion_response)
-    deployed_prompt: UseDeployedPromptResponse = await p.aget_prompt(data=test_get_prompt)
-    print("\n\n")
-    print(deployed_prompt)
-
-
 def hello(name: str) -> str:
     return f"Hello {name}!"
-
-
-if __name__ == "__main__":
-    main()
-    asyncio.run(main_async())
diff --git a/parea/parea_logger.py b/parea/parea_logger.py
new file mode 100644
index 00000000..2a90dc77
--- /dev/null
+++ b/parea/parea_logger.py
@@ -0,0 +1,24 @@
+from attrs import asdict, define, field
+
+from parea.api_client import HTTPClient
+from parea.schemas.models import TraceLog
+
+LOG_ENDPOINT = "/trace_log"
+
+
+@define
+class PareaLogger:
+    _client: HTTPClient = field(init=False)
+
+    def set_client(self, client: HTTPClient) -> None:
+        self._client = client
+
+    def record_log(self, data: TraceLog) -> None:
+        self._client.request(
+            "POST",
+            LOG_ENDPOINT,
+            data=asdict(data),
+        )
+
+
+parea_logger = PareaLogger()
diff --git a/parea/schemas/models.py b/parea/schemas/models.py
index f3d893b9..93279780 100644
--- a/parea/schemas/models.py
+++ b/parea/schemas/models.py
@@ -40,7 +40,7 @@ class LLMInputs:
 
 @define
 class Completion:
-    trace_id: Optional[str] = None
+    inference_id: Optional[str] = None
     trace_name: Optional[str] = None
     llm_inputs: Optional[dict[str, Any]] = None
     llm_configuration: LLMInputs = LLMInputs()
@@ -110,33 +110,39 @@ class FeedbackRequest:
 
 
 @define
-class LogRequest:
-    inference_id: Optional[str] = None
-    trace_id: Optional[str] = None
-    trace_name: Optional[str] = None
-    end_user_identifier: Optional[str] = None
+class TraceLog:
+    trace_id: str
+    start_timestamp: str
+    organization_id: Optional[str] = None
+
+    # metrics filled from completion
     error: Optional[str] = None
     status: Optional[str] = None
-
-    start_timestamp: str = ""
-    end_timestamp: str = ""
-    duration: float = 0.0
-
     deployment_id: Optional[str] = None
-    name: Optional[str] = None
-    evaluation_metrics_ids: Optional[list[int]] = None
-    metadata: Optional[dict] = None
+    evaluation_metric_ids: Optional[list[int]] = None
     cache_hit: bool = False
-    target: Optional[str] = None
-    tags: Optional[list[str]] = None
-
-    llm_inputs: Optional[dict[str, Any]] = None
-    llm_configuration: LLMInputs = LLMInputs()
-
-    output: Optional[str] = ""
+    configuration: LLMInputs = LLMInputs()
     latency: Optional[float] = 0.0
     input_tokens: Optional[int] = 0
     output_tokens: Optional[int] = 0
     total_tokens: Optional[int] = 0
-    cost: Optional[float] = None
+    cost: Optional[float] = 0.0
     feedback_score: Optional[float] = None
+
+    # info filled from decorator
+    trace_name: Optional[str] = None
+    children: list[str] = field(factory=list)
+
+    # metrics filled from either decorator or completion
+    end_timestamp: Optional[str] = None
+    end_user_identifier: Optional[str] = None
+    metadata: Optional[dict[str, Any]] = None
+    target: Optional[str] = None
+    tags: Optional[list[str]] = None
+    inputs: Optional[dict[str, str]] = None
+    output: Optional[str] = None
+
+
+@define
+class TraceLogTree(TraceLog):
+    children: Optional[list[TraceLog]] = None
diff --git a/parea/utils/__init__.py b/parea/utils/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/parea/utils/trace_utils.py b/parea/utils/trace_utils.py
new file mode 100644
index 00000000..ec6dfb60
--- /dev/null
+++ b/parea/utils/trace_utils.py
@@ -0,0 +1,141 @@
+from typing import Any, Optional
+
+import contextvars
+import inspect
+import json
+import logging
+import threading
+import time
+from collections import ChainMap
+from datetime import datetime
+from functools import wraps
+from uuid import uuid4
+
+from attrs import asdict
+
+from parea.parea_logger import parea_logger
+from parea.schemas.models import CompletionResponse, TraceLog
+
+logger = logging.getLogger()
+
+
+# Context variable to maintain the current trace context stack
+trace_context = contextvars.ContextVar("trace_context", default=[])
+
+# A dictionary to hold trace data for each trace
+trace_data = contextvars.ContextVar("trace_data", default={})
+
+
+def to_date_and_time_string(timestamp: float) -> str:
+    return datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %H:%M:%S %Z").strip()
+
+
+def merge(old, new):
+    if isinstance(old, dict) and isinstance(new, dict):
+        return dict(ChainMap(new, old))
+    if isinstance(old, list) and isinstance(new, list):
+        return old + new
+    return new
+
+
+def get_current_trace_id():
+    return trace_context.get()[-1]
+
+
+def trace_insert(data: dict[str, Any]):
+    current_trace_id = get_current_trace_id()
+    current_trace_data: TraceLog = trace_data.get()[current_trace_id]
+
+    for key, new_value in data.items():
+        existing_value = current_trace_data.__getattribute__(key)
+        current_trace_data.__setattr__(key, merge(existing_value, new_value) if existing_value else new_value)
+
+
+def trace(
+    name: Optional[str] = None,
+    tags: Optional[list[str]] = None,
+    metadata: Optional[dict[str, Any]] = None,
+    target: Optional[str] = None,
+    end_user_identifier: Optional[str] = None,
+):
+    def init_trace(func_name, args, kwargs, func):
+        start_time = time.time()
+        trace_id = str(uuid4())
+        trace_context.get().append(trace_id)
+
+        sig = inspect.signature(func)
+        parameters = sig.parameters
+
+        inputs = {k: v for k, v in zip(parameters.keys(), args)}
+        inputs.update(kwargs)
+
+        trace_data.get()[trace_id] = TraceLog(
+            trace_id=trace_id,
+            start_timestamp=to_date_and_time_string(start_time),
+            trace_name=name or func_name,
+            end_user_identifier=end_user_identifier,
+            metadata=metadata,
+            target=target,
+            tags=tags,
+            inputs=inputs,
+        )
+        parent_trace_id = trace_context.get()[-2] if len(trace_context.get()) > 1 else None
+        if parent_trace_id:
+            trace_data.get()[parent_trace_id].children.append(trace_id)
+
+        return trace_id
+
+    def cleanup_trace(trace_id):
+        end_time = time.time()
+        trace_data.get()[trace_id].end_timestamp = to_date_and_time_string(end_time)
+        logging_thread = threading.Thread(
+            target=parea_logger.record_log,
+            kwargs={"data": trace_data.get()[trace_id]},
+        )
+        logging_thread.start()
+        trace_context.get().pop()
+
+    def decorator(func):
+        @wraps(func)
+        async def async_wrapper(*args, **kwargs):
+            trace_id = init_trace(func.__name__, args, kwargs, func)
+            result = None
+            try:
+                result = await func(*args, **kwargs)
+                output = asdict(result) if isinstance(result, CompletionResponse) else result
+                trace_data.get()[trace_id].output = json.dumps(output)
+            except Exception as e:
+                logger.exception(f"Error occurred in function {func.__name__}, {e}")
+                trace_data.get()[trace_id].error = str(e)
+                trace_data.get()[trace_id].status = "error"
+            finally:
+                cleanup_trace(trace_id)
+            return result
+
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            trace_id = init_trace(func.__name__, args, kwargs, func)
+            result = None
+            try:
+                result = func(*args, **kwargs)
+                output = asdict(result) if isinstance(result, CompletionResponse) else result
+                trace_data.get()[trace_id].output = json.dumps(output)
+            except Exception as e:
+                logger.exception(f"Error occurred in function {func.__name__}, {e}")
+                trace_data.get()[trace_id].error = str(e)
+                trace_data.get()[trace_id].status = "error"
+            finally:
+                cleanup_trace(trace_id)
+            return result
+
+        if inspect.iscoroutinefunction(func):
+            return async_wrapper
+        else:
+            return wrapper
+
+    if callable(name):
+        func = name
+        name = None
+        return decorator(func)
+
+    return decorator
diff --git a/poetry.lock b/poetry.lock
index 9a7c3d4d..e805402a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -323,22 +323,23 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachecontrol"
-version = "0.12.14"
+version = "0.13.1"
 description = "httplib2 caching for requests"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "CacheControl-0.12.14-py2.py3-none-any.whl", hash = "sha256:1c2939be362a70c4e5f02c6249462b3b7a24441e4f1ced5e9ef028172edf356a"},
-    {file = "CacheControl-0.12.14.tar.gz", hash = "sha256:d1087f45781c0e00616479bfd282c78504371ca71da017b49df9f5365a95feba"},
+    {file = "cachecontrol-0.13.1-py3-none-any.whl", hash = "sha256:95dedbec849f46dda3137866dc28b9d133fc9af55f5b805ab1291833e4457aa4"},
+    {file = "cachecontrol-0.13.1.tar.gz", hash = "sha256:f012366b79d2243a6118309ce73151bf52a38d4a5dac8ea57f09bd29087e506b"},
 ]
 
 [package.dependencies]
-lockfile = {version = ">=0.9", optional = true, markers = "extra == \"filecache\""}
+filelock = {version = ">=3.8.0", optional = true, markers = "extra == \"filecache\""}
 msgpack = ">=0.5.2"
-requests = "*"
+requests = ">=2.16.0"
 
 [package.extras]
-filecache = ["lockfile (>=0.9)"]
+dev = ["CacheControl[filecache,redis]", "black", "build", "cherrypy", "mypy", "pytest", "pytest-cov", "sphinx", "tox", "types-redis", "types-requests"]
+filecache = ["filelock (>=3.8.0)"]
 redis = ["redis (>=2.10.5)"]
 
 [[package]]
@@ -582,6 +583,19 @@ lint = ["black (>=22.6.0)", "mdformat (>0.7)", "mdformat-gfm (>=0.3.5)", "ruff (
 test = ["pytest"]
 typing = ["mypy (>=0.990)"]
 
+[[package]]
+name = "contextvars"
+version = "2.4"
+description = "PEP 567 Backport"
+optional = false
+python-versions = "*"
+files = [
+    {file = "contextvars-2.4.tar.gz", hash = "sha256:f38c908aaa59c14335eeea12abea5f443646216c4e29380d7bf34d2018e2c39e"},
+]
+
+[package.dependencies]
+immutables = ">=0.9"
+
 [[package]]
 name = "coverage"
 version = "7.3.0"
@@ -1004,27 +1018,6 @@ files = [
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
 
-[[package]]
-name = "html5lib"
-version = "1.1"
-description = "HTML parser based on the WHATWG HTML specification"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-files = [
-    {file = "html5lib-1.1-py2.py3-none-any.whl", hash = "sha256:0d78f8fde1c230e99fe37986a60526d7049ed4bf8a9fadbad5f00e22e58e041d"},
-    {file = "html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f"},
-]
-
-[package.dependencies]
-six = ">=1.9"
-webencodings = "*"
-
-[package.extras]
-all = ["chardet (>=2.2)", "genshi", "lxml"]
-chardet = ["chardet (>=2.2)"]
-genshi = ["genshi"]
-lxml = ["lxml"]
-
 [[package]]
 name = "httpcore"
 version = "0.17.3"
@@ -1071,13 +1064,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "identify"
-version = "2.5.26"
+version = "2.5.27"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.26-py2.py3-none-any.whl", hash = "sha256:c22a8ead0d4ca11f1edd6c9418c3220669b3b7533ada0a0ffa6cc0ef85cf9b54"},
-    {file = "identify-2.5.26.tar.gz", hash = "sha256:7243800bce2f58404ed41b7c002e53d4d22bcf3ae1b7900c2d7aefd95394bf7f"},
+    {file = "identify-2.5.27-py2.py3-none-any.whl", hash = "sha256:fdb527b2dfe24602809b2201e033c2a113d7bdf716db3ca8e3243f735dcecaba"},
+    {file = "identify-2.5.27.tar.gz", hash = "sha256:287b75b04a0e22d727bc9a41f0d4f3c1bcada97490fa6eabb5b28f0e9097e733"},
 ]
 
 [package.extras]
@@ -1094,6 +1087,59 @@ files = [
     {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
 ]
 
+[[package]]
+name = "immutables"
+version = "0.20"
+description = "Immutable Collections"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "immutables-0.20-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dea0ae4d7f31b145c18c16badeebc2f039d09411be4a8febb86e1244cf7f1ce0"},
+    {file = "immutables-0.20-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2dd0dcef2f8d4523d34dbe1d2b7804b3d2a51fddbd104aad13f506a838a2ea15"},
+    {file = "immutables-0.20-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:393dde58ffd6b4c089ffdf4cef5fe73dad37ce4681acffade5f5d5935ec23c93"},
+    {file = "immutables-0.20-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1214b5a175df783662b7de94b4a82db55cc0ee206dd072fa9e279fb8895d8df"},
+    {file = "immutables-0.20-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:2761e3dc2a6406943ce77b3505e9b3c1187846de65d7247548dc7edaa202fcba"},
+    {file = "immutables-0.20-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2bcea81e7516bd823b4ed16f4f794531097888675be13e833b1cc946370d5237"},
+    {file = "immutables-0.20-cp310-cp310-win32.whl", hash = "sha256:d828e7580f1fa203ddeab0b5e91f44bf95706e7f283ca9fbbcf0ae08f63d3084"},
+    {file = "immutables-0.20-cp310-cp310-win_amd64.whl", hash = "sha256:380e2957ba3d63422b2f3fbbff0547c7bbe6479d611d3635c6411005a4264525"},
+    {file = "immutables-0.20-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:532be32c7a25dae6cade28825c76d3004cf4d166a0bfacf04bda16056d59ba26"},
+    {file = "immutables-0.20-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5302ce9c7827f8300f3dc34a695abb71e4a32bab09e65e5ad6e454785383347f"},
+    {file = "immutables-0.20-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b51aec54b571ae466113509d4dc79a2808dc2ae9263b71fd6b37778cb49eb292"},
+    {file = "immutables-0.20-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f56aea56e597ecf6631f24a4e26007b6a5f4fe30278b96eb90bc1f60506164"},
+    {file = "immutables-0.20-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:085ac48ee3eef7baf070f181cae574489bbf65930a83ec5bbd65c9940d625db3"},
+    {file = "immutables-0.20-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f063f53b5c0e8f541ae381f1d828f3d05bbed766a2d6c817f9218b8b37a4cb66"},
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+    {file = "immutables-0.20-cp311-cp311-win_amd64.whl", hash = "sha256:5bb32aee1ea16fbb90f58f8bd96016bca87aba0a8e574e5fa218d0d83b142851"},
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+    {file = "immutables-0.20-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f349a7e0327b92dcefb863e49ace086f2f26e6689a4e022c98720c6e9696e763"},
+    {file = "immutables-0.20-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e3a5462f6d3549bbf7d02ce929fb0cb6df9539445f0589105de4e8b99b906e69"},
+    {file = "immutables-0.20-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cc51a01a64a6d2cd7db210a49ad010c2ac2e9e026745f23fd31e0784096dcfff"},
+    {file = "immutables-0.20-cp39-cp39-win32.whl", hash = "sha256:83794712f0507416f2818edc63f84305358b8656a93e5b9e2ab056d9803c7507"},
+    {file = "immutables-0.20-cp39-cp39-win_amd64.whl", hash = "sha256:2837b1078abc66d9f009bee9085cf62515d5516af9a5c9ea2751847e16efd236"},
+    {file = "immutables-0.20.tar.gz", hash = "sha256:1d2f83e6a6a8455466cd97b9a90e2b4f7864648616dfa6b19d18f49badac3876"},
+]
+
+[package.extras]
+test = ["flake8 (>=5.0,<6.0)", "mypy (>=1.4,<2.0)", "pycodestyle (>=2.9,<3.0)", "pytest (>=7.4,<8.0)"]
+
 [[package]]
 name = "importlib-metadata"
 version = "6.8.0"
@@ -1369,26 +1415,24 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.19.0"
+version = "4.17.3"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "jsonschema-4.19.0-py3-none-any.whl", hash = "sha256:043dc26a3845ff09d20e4420d6012a9c91c9aa8999fa184e7efcfeccb41e32cb"},
-    {file = "jsonschema-4.19.0.tar.gz", hash = "sha256:6e1e7569ac13be8139b2dd2c21a55d350066ee3f80df06c608b398cdc6f30e8f"},
+    {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"},
+    {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"},
 ]
 
 [package.dependencies]
-attrs = ">=22.2.0"
+attrs = ">=17.4.0"
 fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""}
-jsonschema-specifications = ">=2023.03.6"
-referencing = ">=0.28.4"
+pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
 rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""}
-rpds-py = ">=0.7.1"
 uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-nongpl\""}
 
@@ -1396,20 +1440,6 @@ webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format-n
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
 format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
 
-[[package]]
-name = "jsonschema-specifications"
-version = "2023.7.1"
-description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "jsonschema_specifications-2023.7.1-py3-none-any.whl", hash = "sha256:05adf340b659828a004220a9613be00fa3f223f2b82002e273dee62fd50524b1"},
-    {file = "jsonschema_specifications-2023.7.1.tar.gz", hash = "sha256:c91a50404e88a1f6ba40636778e2ee08f6e24c5613fe4c53ac24578a5a7f72bb"},
-]
-
-[package.dependencies]
-referencing = ">=0.28.0"
-
 [[package]]
 name = "jupyter"
 version = "1.0.0"
@@ -1499,20 +1529,19 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-events"
-version = "0.7.0"
+version = "0.6.3"
 description = "Jupyter Event System library"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "jupyter_events-0.7.0-py3-none-any.whl", hash = "sha256:4753da434c13a37c3f3c89b500afa0c0a6241633441421f6adafe2fb2e2b924e"},
-    {file = "jupyter_events-0.7.0.tar.gz", hash = "sha256:7be27f54b8388c03eefea123a4f79247c5b9381c49fb1cd48615ee191eb12615"},
+    {file = "jupyter_events-0.6.3-py3-none-any.whl", hash = "sha256:57a2749f87ba387cd1bfd9b22a0875b889237dbf2edc2121ebb22bde47036c17"},
+    {file = "jupyter_events-0.6.3.tar.gz", hash = "sha256:9a6e9995f75d1b7146b436ea24d696ce3a35bfa8bfe45e0c33c334c79464d0b3"},
 ]
 
 [package.dependencies]
-jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]}
+jsonschema = {version = ">=3.2.0", extras = ["format-nongpl"]}
 python-json-logger = ">=2.0.4"
 pyyaml = ">=5.3"
-referencing = "*"
 rfc3339-validator = "*"
 rfc3986-validator = ">=0.1.1"
 traitlets = ">=5.3"
@@ -1520,7 +1549,7 @@ traitlets = ">=5.3"
 [package.extras]
 cli = ["click", "rich"]
 docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"]
-test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"]
+test = ["click", "coverage", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "pytest-cov", "rich"]
 
 [[package]]
 name = "jupyter-lsp"
@@ -1674,13 +1703,13 @@ files = [
 
 [[package]]
 name = "keyring"
-version = "23.13.1"
+version = "24.2.0"
 description = "Store and access your passwords safely."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "keyring-23.13.1-py3-none-any.whl", hash = "sha256:771ed2a91909389ed6148631de678f82ddc73737d85a927f382a8a1b157898cd"},
-    {file = "keyring-23.13.1.tar.gz", hash = "sha256:ba2e15a9b35e21908d0aaf4e0a47acc52d6ae33444df0da2b49d41a46ef6d678"},
+    {file = "keyring-24.2.0-py3-none-any.whl", hash = "sha256:4901caaf597bfd3bbd78c9a0c7c4c29fcd8310dab2cffefe749e916b6527acd6"},
+    {file = "keyring-24.2.0.tar.gz", hash = "sha256:ca0746a19ec421219f4d713f848fa297a661a8a8c1504867e55bfb5e09091509"},
 ]
 
 [package.dependencies]
@@ -1692,8 +1721,8 @@ SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
 
 [package.extras]
 completion = ["shtab"]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
-testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [[package]]
 name = "lazy-object-proxy"
@@ -1740,17 +1769,6 @@ files = [
     {file = "lazy_object_proxy-1.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:db1c1722726f47e10e0b5fdbf15ac3b8adb58c091d12b3ab713965795036985f"},
 ]
 
-[[package]]
-name = "lockfile"
-version = "0.12.2"
-description = "Platform-independent file locking module"
-optional = false
-python-versions = "*"
-files = [
-    {file = "lockfile-0.12.2-py2.py3-none-any.whl", hash = "sha256:6c3cb24f344923d30b2785d5ad75182c8ea7ac1b6171b08657258ec7429d50fa"},
-    {file = "lockfile-0.12.2.tar.gz", hash = "sha256:6aed02de03cba24efabcd600b30540140634fc06cfa603822d508d5361e9f799"},
-]
-
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -2328,65 +2346,61 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "poetry"
-version = "1.5.1"
+version = "1.6.1"
 description = "Python dependency management and packaging made easy."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "poetry-1.5.1-py3-none-any.whl", hash = "sha256:dfc7ce3a38ae216c0465694e2e674bef6eb1a2ba81aa47a26f9dc03362fe2f5f"},
-    {file = "poetry-1.5.1.tar.gz", hash = "sha256:cc7ea4524d1a11558006224bfe8ba8ed071417d4eb5ef6c89decc6a37d437eeb"},
+    {file = "poetry-1.6.1-py3-none-any.whl", hash = "sha256:9b4cb6079c08cc0d91e8cba18a6bd4d4f7d7830263a7fb18ecb3faa77937c988"},
+    {file = "poetry-1.6.1.tar.gz", hash = "sha256:0ab9b1a592731cc8b252b8d6aaeea19c72cc0a109d7468b829ad57e6c48039d2"},
 ]
 
 [package.dependencies]
 build = ">=0.10.0,<0.11.0"
-cachecontrol = {version = ">=0.12.9,<0.13.0", extras = ["filecache"]}
+cachecontrol = {version = ">=0.13.0,<0.14.0", extras = ["filecache"]}
 cleo = ">=2.0.0,<3.0.0"
 crashtest = ">=0.4.1,<0.5.0"
 dulwich = ">=0.21.2,<0.22.0"
-filelock = ">=3.8.0,<4.0.0"
-html5lib = ">=1.0,<2.0"
 importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 installer = ">=0.7.0,<0.8.0"
-jsonschema = ">=4.10.0,<5.0.0"
-keyring = ">=23.9.0,<24.0.0"
-lockfile = ">=0.12.2,<0.13.0"
+jsonschema = ">=4.10.0,<4.18.0"
+keyring = ">=24.0.0,<25.0.0"
 packaging = ">=20.4"
 pexpect = ">=4.7.0,<5.0.0"
 pkginfo = ">=1.9.4,<2.0.0"
 platformdirs = ">=3.0.0,<4.0.0"
-poetry-core = "1.6.1"
-poetry-plugin-export = ">=1.4.0,<2.0.0"
+poetry-core = "1.7.0"
+poetry-plugin-export = ">=1.5.0,<2.0.0"
 pyproject-hooks = ">=1.0.0,<2.0.0"
-requests = ">=2.18,<3.0"
+requests = ">=2.26,<3.0"
 requests-toolbelt = ">=0.9.1,<2"
 shellingham = ">=1.5,<2.0"
 tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
 tomlkit = ">=0.11.4,<1.0.0"
 trove-classifiers = ">=2022.5.19"
-urllib3 = ">=1.26.0,<2.0.0"
 virtualenv = ">=20.22.0,<21.0.0"
 xattr = {version = ">=0.10.0,<0.11.0", markers = "sys_platform == \"darwin\""}
 
 [[package]]
 name = "poetry-core"
-version = "1.6.1"
+version = "1.7.0"
 description = "Poetry PEP 517 Build Backend"
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "poetry_core-1.6.1-py3-none-any.whl", hash = "sha256:70707340447dee0e7f334f9495ae652481c67b32d8d218f296a376ac2ed73573"},
-    {file = "poetry_core-1.6.1.tar.gz", hash = "sha256:0f9b0de39665f36d6594657e7d57b6f463cc10f30c28e6d1c3b9ff54c26c9ac3"},
+    {file = "poetry_core-1.7.0-py3-none-any.whl", hash = "sha256:38e174cdb00a84ee4a1cab66a378b435747f72414f5573bc18cfc3850a94df38"},
+    {file = "poetry_core-1.7.0.tar.gz", hash = "sha256:8f679b83bd9c820082637beca1204124d5d2a786e4818da47ec8acefd0353b74"},
 ]
 
 [[package]]
 name = "poetry-plugin-dotenv"
-version = "0.5.2"
+version = "0.5.3"
 description = "poetry-plugin-dotenv - is the plugin that automatically loads environment variables from a dotenv file into the environment before poetry commands are run."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "poetry_plugin_dotenv-0.5.2-py3-none-any.whl", hash = "sha256:99ebe5bf73ad2ed9ea7eccd31f1128f1b517bfb6cdb46cdd6cf781987ff6f384"},
-    {file = "poetry_plugin_dotenv-0.5.2.tar.gz", hash = "sha256:f705719efd0903eb1400a93883b5c266c77eef17a62f04b0013c375a6a9ed2de"},
+    {file = "poetry_plugin_dotenv-0.5.3-py3-none-any.whl", hash = "sha256:a8e03a7c4dbb9f3d43f73f4742cf9d24b40f98a8566a146ba13de45e78024b17"},
+    {file = "poetry_plugin_dotenv-0.5.3.tar.gz", hash = "sha256:abb74e0c01172440979275ba95c4b0c78c5450d971df03eb9ba61da4713d92ff"},
 ]
 
 [package.dependencies]
@@ -2394,13 +2408,13 @@ poetry = ">=1.5.1,<2.0.0"
 
 [[package]]
 name = "poetry-plugin-export"
-version = "1.4.0"
+version = "1.5.0"
 description = "Poetry plugin to export the dependencies to various formats"
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "poetry_plugin_export-1.4.0-py3-none-any.whl", hash = "sha256:5d9186d6f77cf2bf35fc96bd11fe650cc7656e515b17d99cb65018d50ba22589"},
-    {file = "poetry_plugin_export-1.4.0.tar.gz", hash = "sha256:f16974cd9f222d4ef640fa97a8d661b04d4fb339e51da93973f1bc9d578e183f"},
+    {file = "poetry_plugin_export-1.5.0-py3-none-any.whl", hash = "sha256:cd8267597970375ca29868daec5e7718bad500c7584663af3eeb0ed16f24e2bd"},
+    {file = "poetry_plugin_export-1.5.0.tar.gz", hash = "sha256:ecc8738da0c81c3758e36b4e72e04ae59648a547492af2ffe6245af3594bb00f"},
 ]
 
 [package.dependencies]
@@ -2600,6 +2614,42 @@ files = [
 [package.dependencies]
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 
+[[package]]
+name = "pyrsistent"
+version = "0.19.3"
+description = "Persistent/Functional/Immutable data structures"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "pytest"
 version = "7.4.0"
@@ -3075,21 +3125,6 @@ files = [
 [package.extras]
 full = ["numpy"]
 
-[[package]]
-name = "referencing"
-version = "0.30.2"
-description = "JSON Referencing + Python"
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.dependencies]
-attrs = ">=22.2.0"
-rpds-py = ">=0.7.0"
-
 [[package]]
 name = "requests"
 version = "2.31.0"
@@ -3168,112 +3203,6 @@ pygments = ">=2.13.0,<3.0.0"
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
-[[package]]
-name = "rpds-py"
-version = "0.9.2"
-description = "Python bindings to Rust's persistent data structures (rpds)"
-optional = false
-python-versions = ">=3.8"
-files = [
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 [[package]]
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+version = "68.1.2"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-68.1.0-py3-none-any.whl", hash = "sha256:e13e1b0bc760e9b0127eda042845999b2f913e12437046e663b833aa96d89715"},
-    {file = "setuptools-68.1.0.tar.gz", hash = "sha256:d59c97e7b774979a5ccb96388efc9eb65518004537e85d52e81eaee89ab6dd91"},
+    {file = "setuptools-68.1.2-py3-none-any.whl", hash = "sha256:3d8083eed2d13afc9426f227b24fd1659489ec107c0e86cec2ffdde5c92e790b"},
+    {file = "setuptools-68.1.2.tar.gz", hash = "sha256:3d4dfa6d95f1b101d695a6160a7626e15583af71a5f52176efa5d39a054d475d"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5,<=7.1.2)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
@@ -3654,19 +3583,20 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "1.26.16"
+version = "2.0.4"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.7"
 files = [
-    {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"},
-    {file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"},
+    {file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"},
+    {file = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
@@ -3727,17 +3657,17 @@ files = [
 
 [[package]]
 name = "websocket-client"
-version = "1.6.1"
+version = "1.6.2"
 description = "WebSocket client for Python with low level API options"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.6.1.tar.gz", hash = "sha256:c951af98631d24f8df89ab1019fc365f2227c0892f12fd150e935607c79dd0dd"},
-    {file = "websocket_client-1.6.1-py3-none-any.whl", hash = "sha256:f1f9f2ad5291f0225a49efad77abf9e700b6fef553900623060dad6e26503b9d"},
+    {file = "websocket-client-1.6.2.tar.gz", hash = "sha256:53e95c826bf800c4c465f50093a8c4ff091c7327023b10bfaff40cf1ef170eaa"},
+    {file = "websocket_client-1.6.2-py3-none-any.whl", hash = "sha256:ce54f419dfae71f4bdba69ebe65bf7f0a93fe71bc009ad3a010aacc3eebad537"},
 ]
 
 [package.extras]
-docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
+docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
@@ -3938,4 +3868,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "d43b7ecf531579cf4bb4802196642b89655fcada52235c4c318147d0c6b03ec7"
+content-hash = "e050362ab2ff998091752d1595d22f08609e2d5e8bd285b75f9d62ffe71f531c"
diff --git a/pyproject.toml b/pyproject.toml
index 6ce621b8..ea63679a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ build-backend = "poetry.core.masonry.api"
 [tool.poetry]
 name = "parea-ai"
 packages = [{ include = "parea" }]
-version = "0.1.4"
+version = "0.2.0"
 description = "Parea python sdk"
 readme = "README.md"
 authors = ["joel-parea-ai <joel@parea.ai>"]
@@ -39,6 +39,7 @@ python-dotenv = "^1.0.0"
 poetry-plugin-dotenv = "^0.5.1"
 pyupgrade = "^3.9.0"
 jupyter = "^1.0.0"
+contextvars = "^2.4"
 
 [tool.poetry.dev-dependencies]
 bandit = "^1.7.1"
diff --git a/requirements.txt b/requirements.txt
index bcad6b87..b93ae436 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,4 @@
-attrs
-httpx
-python-dotenv
+attrs~=23.1.0
+httpx~=0.24.1
+python-dotenv~=1.0.0
+contextvars~=2.4.0