+
-
diff --git a/agents-api/.gitignore b/agents-api/.gitignore
index bc51c65f8..0011e41de 100644
--- a/agents-api/.gitignore
+++ b/agents-api/.gitignore
@@ -5,6 +5,9 @@ temporal.db
*.dat
*.dir
+# jupyterlab stuff
+.virtual_documents/
+
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
diff --git a/agents-api/agents_api/activities/embed_docs.py b/agents-api/agents_api/activities/embed_docs.py
index 924424881..bbdc66043 100644
--- a/agents-api/agents_api/activities/embed_docs.py
+++ b/agents-api/agents_api/activities/embed_docs.py
@@ -1,3 +1,8 @@
+import asyncio
+import operator
+from functools import reduce
+from itertools import batched
+
from beartype import beartype
from temporalio import activity
@@ -8,18 +13,27 @@
@beartype
-async def embed_docs(payload: EmbedDocsPayload, cozo_client=None) -> None:
+async def embed_docs(
+ payload: EmbedDocsPayload, cozo_client=None, max_batch_size: int = 100
+) -> None:
indices, snippets = list(zip(*enumerate(payload.content)))
+ batched_snippets = batched(snippets, max_batch_size)
embed_instruction: str = payload.embed_instruction or ""
title: str = payload.title or ""
- embeddings = await litellm.aembedding(
- inputs=[
- (
- embed_instruction + (title + "\n\n" + snippet) if title else snippet
- ).strip()
- for snippet in snippets
- ]
+ async def embed_batch(snippets):
+ return await litellm.aembedding(
+ inputs=[
+ (
+ embed_instruction + (title + "\n\n" + snippet) if title else snippet
+ ).strip()
+ for snippet in snippets
+ ]
+ )
+
+ embeddings = reduce(
+ operator.add,
+ await asyncio.gather(*[embed_batch(snippets) for snippets in batched_snippets]),
)
embed_snippets_query(
@@ -31,7 +45,9 @@ async def embed_docs(payload: EmbedDocsPayload, cozo_client=None) -> None:
)
-async def mock_embed_docs(payload: EmbedDocsPayload, cozo_client=None) -> None:
+async def mock_embed_docs(
+ payload: EmbedDocsPayload, cozo_client=None, max_batch_size=100
+) -> None:
# Does nothing
return None
diff --git a/agents-api/agents_api/activities/excecute_api_call.py b/agents-api/agents_api/activities/excecute_api_call.py
index e7752aa06..956ca9370 100644
--- a/agents-api/agents_api/activities/excecute_api_call.py
+++ b/agents-api/agents_api/activities/excecute_api_call.py
@@ -1,15 +1,13 @@
import base64
-from typing import Annotated, Any, Optional, TypedDict, Union
+from typing import Any, Optional, TypedDict, Union
import httpx
from beartype import beartype
-from pydantic import Field
from temporalio import activity
from ..autogen.openapi_model import ApiCallDef
# from ..clients import integrations
-from ..common.protocol.tasks import StepContext
from ..env import testing
# from ..models.tools import get_tool_args_from_metadata
@@ -31,7 +29,7 @@ async def execute_api_call(
request_args: RequestArgs,
) -> Any:
try:
- async with httpx.AsyncClient() as client:
+ async with httpx.AsyncClient(timeout=60.0) as client:
arg_url = request_args.pop("url", None)
arg_headers = request_args.pop("headers", None)
@@ -43,15 +41,21 @@ async def execute_api_call(
**request_args,
)
+ response.raise_for_status()
content_base64 = base64.b64encode(response.content).decode("ascii")
response_dict = {
"status_code": response.status_code,
"headers": dict(response.headers),
"content": content_base64,
- "json": response.json(),
}
+ try:
+ response_dict["json"] = response.json()
+ except BaseException as e:
+ response_dict["json"] = None
+ activity.logger.debug(f"Failed to parse JSON response: {e}")
+
return response_dict
except BaseException as e:
diff --git a/agents-api/agents_api/activities/execute_system.py b/agents-api/agents_api/activities/execute_system.py
index 8ffb85814..9645ced16 100644
--- a/agents-api/agents_api/activities/execute_system.py
+++ b/agents-api/agents_api/activities/execute_system.py
@@ -2,6 +2,7 @@
from uuid import UUID
from beartype import beartype
+from box import Box, BoxList
from fastapi.background import BackgroundTasks
from temporalio import activity
@@ -19,9 +20,7 @@
from ..models.agent.get_agent import get_agent as get_agent_query
from ..models.agent.list_agents import list_agents as list_agents_query
from ..models.agent.update_agent import update_agent as update_agent_query
-from ..models.docs.create_doc import create_doc as create_doc_query
from ..models.docs.delete_doc import delete_doc as delete_doc_query
-from ..models.docs.get_doc import get_doc as get_doc_query
from ..models.docs.list_docs import list_docs as list_docs_query
from ..models.session.create_session import create_session as create_session_query
from ..models.session.delete_session import delete_session as delete_session_query
@@ -50,6 +49,13 @@ async def execute_system(
arguments = system.arguments
arguments["developer_id"] = context.execution_input.developer_id
+ # Unbox all the arguments
+ for key, value in arguments.items():
+ if isinstance(value, Box):
+ arguments[key] = value.to_dict()
+ elif isinstance(value, BoxList):
+ arguments[key] = value.to_list()
+
# Convert all UUIDs to UUID objects
if "agent_id" in arguments:
arguments["agent_id"] = UUID(arguments["agent_id"])
@@ -121,7 +127,7 @@ async def execute_system(
)
# NO SUBRESOURCE
- elif system.subresource == None:
+ elif system.subresource is None:
if system.operation == "list":
return list_agents_query(**arguments)
elif system.operation == "get":
@@ -190,7 +196,7 @@ async def execute_system(
)
# NO SUBRESOURCE
- elif system.subresource == None:
+ elif system.subresource is None:
if system.operation == "list":
return list_users_query(**arguments)
elif system.operation == "get":
diff --git a/agents-api/agents_api/activities/task_steps/get_value_step.py b/agents-api/agents_api/activities/task_steps/get_value_step.py
index cda00789e..71c6d5221 100644
--- a/agents-api/agents_api/activities/task_steps/get_value_step.py
+++ b/agents-api/agents_api/activities/task_steps/get_value_step.py
@@ -11,7 +11,7 @@
async def get_value_step(
context: StepContext,
) -> StepOutcome:
- key: str = context.current_step.get
+ key: str = context.current_step.get # noqa: F841
raise NotImplementedError("Not implemented yet")
diff --git a/agents-api/agents_api/activities/utils.py b/agents-api/agents_api/activities/utils.py
index fca62578a..1fcc6266c 100644
--- a/agents-api/agents_api/activities/utils.py
+++ b/agents-api/agents_api/activities/utils.py
@@ -9,20 +9,18 @@
import string
import time
import urllib.parse
-from typing import Any, Callable, ParamSpec, Type, TypeVar, cast
+from typing import Any, Callable, ParamSpec, TypeVar
import re2
-import yaml
import zoneinfo
from beartype import beartype
from simpleeval import EvalWithCompoundTypes, SimpleEval
-from yaml import CSafeDumper, CSafeLoader
-
-T = TypeVar("T")
+from ..common.utils import yaml
-P = ParamSpec("P")
+T = TypeVar("T")
R = TypeVar("R")
+P = ParamSpec("P")
# TODO: We need to make sure that we dont expose any security issues
@@ -51,7 +49,7 @@
"zip": zip,
"search_regex": lambda pattern, string: re2.search(pattern, string),
"load_json": json.loads,
- "load_yaml": lambda string: yaml.load(string, Loader=CSafeLoader),
+ "load_yaml": yaml.load,
"match_regex": lambda pattern, string: bool(re2.fullmatch(pattern, string)),
}
@@ -74,8 +72,8 @@ class stdlib_json:
class stdlib_yaml:
- load = lambda string: yaml.load(string, Loader=CSafeLoader) # noqa: E731
- dump = lambda value: yaml.dump(value, Dumper=CSafeDumper) # noqa: E731
+ load = yaml.load
+ dump = yaml.dump
class stdlib_time:
diff --git a/agents-api/agents_api/common/exceptions/tasks.py b/agents-api/agents_api/common/exceptions/tasks.py
index 81331234c..19bb5b5ae 100644
--- a/agents-api/agents_api/common/exceptions/tasks.py
+++ b/agents-api/agents_api/common/exceptions/tasks.py
@@ -19,6 +19,8 @@
import requests
import temporalio.exceptions
+### FIXME: This should be the opposite. We should retry on only known errors
+
# List of error types that should not be retried
NON_RETRYABLE_ERROR_TYPES = (
# Temporal-specific errors
@@ -56,8 +58,6 @@
# HTTP and API-related errors
fastapi.exceptions.HTTPException,
fastapi.exceptions.RequestValidationError,
- httpx.RequestError,
- httpx.HTTPStatusError,
#
# Asynchronous programming errors
asyncio.CancelledError,
@@ -102,6 +102,7 @@
)
+### FIXME: This should be the opposite. So `is_retryable_error` instead of `is_non_retryable_error`
def is_non_retryable_error(error: BaseException) -> bool:
"""
Determines if the given error is non-retryable.
@@ -115,4 +116,13 @@ def is_non_retryable_error(error: BaseException) -> bool:
Returns:
bool: True if the error is non-retryable, False otherwise.
"""
- return isinstance(error, NON_RETRYABLE_ERROR_TYPES)
+ if isinstance(error, NON_RETRYABLE_ERROR_TYPES):
+ return True
+
+ # Check for specific HTTP errors (status code == 429)
+ if isinstance(error, httpx.HTTPStatusError):
+ if error.response.status_code in (408, 429, 503, 504):
+ return False
+
+ # If we don't know about the error, we should not retry
+ return True
diff --git a/agents-api/agents_api/common/protocol/tasks.py b/agents-api/agents_api/common/protocol/tasks.py
index bd4aaa5a2..872d83516 100644
--- a/agents-api/agents_api/common/protocol/tasks.py
+++ b/agents-api/agents_api/common/protocol/tasks.py
@@ -1,4 +1,4 @@
-from typing import Annotated, Any, Type
+from typing import Annotated, Any
from uuid import UUID
from pydantic import BaseModel, Field, computed_field
diff --git a/agents-api/agents_api/common/utils/template.py b/agents-api/agents_api/common/utils/template.py
index 613e0a647..2f614fb4f 100644
--- a/agents-api/agents_api/common/utils/template.py
+++ b/agents-api/agents_api/common/utils/template.py
@@ -4,12 +4,13 @@
import arrow
import re2
-import yaml
from beartype import beartype
from jinja2.sandbox import ImmutableSandboxedEnvironment
from jinja2schema import infer, to_json_schema
from jsonschema import validate
+from . import yaml
+
__all__: List[str] = [
"render_template",
]
diff --git a/agents-api/agents_api/common/utils/yaml.py b/agents-api/agents_api/common/utils/yaml.py
new file mode 100644
index 000000000..7929f616a
--- /dev/null
+++ b/agents-api/agents_api/common/utils/yaml.py
@@ -0,0 +1,18 @@
+from io import StringIO
+from typing import Any
+
+from ruamel.yaml import YAML
+
+yaml = YAML(typ="safe", pure=True) # pure is needed for yaml 1.2 support
+yaml.version = (1, 2)
+
+
+def dump(value: Any) -> str:
+ stream = StringIO()
+ yaml.dump(value, stream)
+
+ return stream.getvalue()
+
+
+def load(string: str) -> Any:
+ return yaml.load(string)
diff --git a/agents-api/agents_api/models/docs/search_docs_by_embedding.py b/agents-api/agents_api/models/docs/search_docs_by_embedding.py
index 83418aa21..90db8ac26 100644
--- a/agents-api/agents_api/models/docs/search_docs_by_embedding.py
+++ b/agents-api/agents_api/models/docs/search_docs_by_embedding.py
@@ -99,6 +99,7 @@ def search_docs_by_embedding(
index1,
min(dist)
] :=
+ candidate[doc_id],
*snippets {{
doc_id,
index: index1,
@@ -109,19 +110,24 @@ def search_docs_by_embedding(
index: index2,
embedding: embedding2
}},
+ is_null(embedding1) == false,
+ is_null(embedding2) == false,
index1 < index2,
dist = cos_dist(embedding1, embedding2)
doclength[doc_id, max(index)] :=
+ candidate[doc_id],
*snippets {{
doc_id,
index,
}}
get_intersnippet[doc_id, index, distance] :=
+ candidate[doc_id],
intersnippet_distance[doc_id, _, distance]
get_intersnippet[doc_id, index, distance] :=
+ candidate[doc_id],
not intersnippet_distance[doc_id, _, distance],
distance = 0.0
@@ -151,6 +157,7 @@ def search_docs_by_embedding(
distance,
mmr_score,
] :=
+ candidate[doc_id],
search_result[doc_id, content, index, distance],
get_intersnippet[doc_id, index, intersnippet_distance],
mmr_score = {mmr_lambda} * (distance - (1.0 - {mmr_lambda}) * intersnippet_distance),
@@ -165,6 +172,7 @@ def search_docs_by_embedding(
mmr_score,
title,
] :=
+ candidate[doc_id],
*docs {{
owner_type,
owner_id,
diff --git a/agents-api/agents_api/models/docs/search_docs_by_text.py b/agents-api/agents_api/models/docs/search_docs_by_text.py
index bb700a494..bc7063e87 100644
--- a/agents-api/agents_api/models/docs/search_docs_by_text.py
+++ b/agents-api/agents_api/models/docs/search_docs_by_text.py
@@ -154,6 +154,7 @@ def search_docs_by_text(
distance,
title,
] :=
+ candidate[id],
input[owner_type, owner_id],
m[
id,
diff --git a/agents-api/agents_api/models/execution/create_execution_transition.py b/agents-api/agents_api/models/execution/create_execution_transition.py
index 2b1c09ae8..d2323d365 100644
--- a/agents-api/agents_api/models/execution/create_execution_transition.py
+++ b/agents-api/agents_api/models/execution/create_execution_transition.py
@@ -29,9 +29,13 @@ def validate_transition_targets(data: CreateTransitionRequest) -> None:
case "finish_branch":
pass # TODO: Implement
case "finish" | "error" | "cancelled":
- assert (
- data.next is None
- ), "Next target must be None for finish/finish_branch/error/cancelled"
+ pass
+
+ ### FIXME: HACK: Fix this and uncomment
+
+ ### assert (
+ ### data.next is None
+ ### ), "Next target must be None for finish/finish_branch/error/cancelled"
case "init_branch" | "init":
assert (
diff --git a/agents-api/agents_api/routers/internal/__init__.py b/agents-api/agents_api/routers/internal/__init__.py
index 237804332..df76d5dc3 100644
--- a/agents-api/agents_api/routers/internal/__init__.py
+++ b/agents-api/agents_api/routers/internal/__init__.py
@@ -1 +1 @@
-from .router import router
+from .router import router as router
diff --git a/agents-api/agents_api/routers/internal/router.py b/agents-api/agents_api/routers/internal/router.py
index 3293f2463..d8f378352 100644
--- a/agents-api/agents_api/routers/internal/router.py
+++ b/agents-api/agents_api/routers/internal/router.py
@@ -1,4 +1,4 @@
-from fastapi import APIRouter, Request, Response
+from fastapi import APIRouter, Request
from google.protobuf import json_format
from temporalio.api.common.v1 import Payloads
diff --git a/agents-api/agents_api/routers/tasks/router.py b/agents-api/agents_api/routers/tasks/router.py
index 9a702c15a..ea25228bd 100644
--- a/agents-api/agents_api/routers/tasks/router.py
+++ b/agents-api/agents_api/routers/tasks/router.py
@@ -1,9 +1,10 @@
from typing import Callable
-import yaml
from fastapi import APIRouter, Request, Response
from fastapi.routing import APIRoute
+from ...common.utils import yaml
+
class YamlRequest(Request):
async def body(self) -> bytes:
diff --git a/agents-api/agents_api/routers/tasks/update_execution.py b/agents-api/agents_api/routers/tasks/update_execution.py
index d887c455d..e88c36ed9 100644
--- a/agents-api/agents_api/routers/tasks/update_execution.py
+++ b/agents-api/agents_api/routers/tasks/update_execution.py
@@ -34,7 +34,7 @@ async def update_execution(
*get_temporal_workflow_data(execution_id=execution_id)
)
await wf_handle.cancel()
- except Exception as e:
+ except Exception:
raise HTTPException(status_code=500, detail="Failed to stop execution")
case ResumeExecutionRequest():
@@ -59,7 +59,7 @@ async def update_execution(
)
try:
await act_handle.complete(data.input)
- except Exception as e:
+ except Exception:
raise HTTPException(
status_code=500, detail="Failed to resume execution"
)
diff --git a/agents-api/notebooks/main-3-Copy1.ipynb b/agents-api/notebooks/main-3-Copy1.ipynb
new file mode 100644
index 000000000..3eb2e92a2
--- /dev/null
+++ b/agents-api/notebooks/main-3-Copy1.ipynb
@@ -0,0 +1,4345 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "6c15055f-a62e-49d4-87e3-18a759c1b8c0",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Collecting yamlmagic\n",
+ " Downloading yamlmagic-0.2.0-py2.py3-none-any.whl.metadata (3.8 kB)\n",
+ "Downloading yamlmagic-0.2.0-py2.py3-none-any.whl (5.5 kB)\n",
+ "Installing collected packages: yamlmagic\n",
+ "Successfully installed yamlmagic-0.2.0\n",
+ "\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install yamlmagic"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "17243984-ad4b-4f0f-98ee-bcccbdab43b1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%reload_ext yamlmagic"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "e2ace0ea-679d-4ec6-b810-d71aee64bc31",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "UsageError: Cell magic `%%yaml` not found.\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%yaml\n",
+ "name: recommend news articles\n",
+ "\n",
+ "input_schema:\n",
+ " type: object\n",
+ " properties:\n",
+ " user_ppid:\n",
+ " type: string\n",
+ " \n",
+ "tools:\n",
+ " - name: get_user_from_ppid\n",
+ " description: Get a user from the user ppid\n",
+ " system:\n",
+ " resource: user\n",
+ " operation: list\n",
+ "\n",
+ " - name: get_user_docs\n",
+ " description: Get user docs\n",
+ " system:\n",
+ " resource: user\n",
+ " subresource: doc\n",
+ " operation: list\n",
+ " \n",
+ " - name : search_agent_docs\n",
+ " description: Get agent docs\n",
+ " system: \n",
+ " resource: agent\n",
+ " subresource: doc\n",
+ " operation: search \n",
+ " \n",
+ "main:\n",
+ " # Get the user from the ppid using metadata_filter (returns a list)\n",
+ " - tool: get_user_from_ppid\n",
+ " arguments:\n",
+ " limit: \"1\"\n",
+ " metadata_filter:\n",
+ " ppid: inputs[0]['user_ppid']\n",
+ "\n",
+ " # Unwrap the list to get the user\n",
+ " - evaluate:\n",
+ " user: _[0]\n",
+ "\n",
+ " - tool: get_user_docs\n",
+ " arguments:\n",
+ " user_id: _.user.id\n",
+ " limit: \"1\"\n",
+ " sort_by: \"'created_at'\"\n",
+ " direction: \"'desc'\"\n",
+ "\n",
+ " #user persona will always be available here\n",
+ " - evaluate:\n",
+ " user_embedding: _[0].embeddings\n",
+ " persona: _[0].content\n",
+ "\n",
+ " #Embedding similarity it will rank the docs\n",
+ " - tool: search_agent_docs\n",
+ " arguments:\n",
+ " vector: _.user_embedding\n",
+ " agent_id: \"'847b03b1-856a-4ae1-a1f5-ad994ba5c87d'\"\n",
+ "\n",
+ " #not sure how to evaluate news_titles\n",
+ " - evaluate:\n",
+ " top_titles: \"{{ [doc['title'] for doc in _['docs'][:50]] }}\"\n",
+ "\n",
+ " - prompt: \n",
+ " - role: user\n",
+ " content: Which of these {{_.top_titles}} do you think the user will like. Rank them according to the users' \n",
+ " persona {{inputs[2].biodata}} and give me the top 5 as valid yaml\n",
+ " unwrap: true\n",
+ " \n",
+ " - evaluate:\n",
+ " titles: load_yaml(_)\n",
+ " \n",
+ " - prompt: \n",
+ " - role: user\n",
+ " content: based on these 5 news {{_.titles}} and users' persona {{inputs[2].biodata}}, draft a catchy newsletter title.\n",
+ " unwrap: true\n",
+ " \n",
+ " - evaluate:\n",
+ " newsletter_title: _\n",
+ " titles: output[7].titles\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "36cdb647",
+ "metadata": {},
+ "source": [
+ "### Imports"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "469351b4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from julep import Julep\n",
+ "import yaml\n",
+ "import pandas as pd\n",
+ "import uuid\n",
+ "from tqdm import tqdm"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "e226d8a8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Keys\n",
+ "api_key = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzUxMiJ9.eyJleHAiOjE3MzM2OTkxOTEsImlhdCI6MTcyODUxNTE5MSwic3ViIjoiMDAwMDAwMDAtMDAwMC0wMDAwLTAwMDAtMDAwMDAwMDAwMDAwIn0.OOiS_MkP1QEOMQ2Gs13JeZsFCPkR-ldbNtedK9iS3qIxSN_fSPGzajcdbLtedZZYD9OwMsBg4sKvmkeyrBti9w'\n",
+ "environment = 'local_multi_tenant'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "d3ae8ee1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "client = Julep(api_key = api_key, environment = environment)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "a9be17de",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# df = pd.read_csv('power_users.csv')\n",
+ "# df.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "fde31169",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# df1 = pd.read_csv('titles_10k.csv')\n",
+ "# df1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "c914cc2d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# df1.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "b602a821",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "# articles = df1['titles'].unique().tolist()\n",
+ "# len(articles)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "345f9840-2d43-4231-a063-09e7f390bb31",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import datetime\n",
+ "\n",
+ "UserData = lambda about, metadata, name, **kwargs: {\n",
+ " \"about\": about,\n",
+ " \"metadata\": metadata,\n",
+ " \"name\": name,\n",
+ "}\n",
+ "\n",
+ "user_data = [\n",
+ " UserData(\n",
+ " id=\"f2e900fd-c7b4-424b-b71d-d75d4a6d7692\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 371884, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 371885, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 73,\n",
+ " \"city\": \"Springfield\",\n",
+ " \"entity_likes\": \"{Others=51, Sean Payton=2, LeBron James=2, Kyle Busch=12, Matt Eberflus=1, Tony Stewart=19, Dale Earnhardt Jr=6, Usain Bolt=1, Ronda Rousey=1, Khabib=1, Jim Harbaugh=1, Denny Hamlin=8, Bubba Wallace=6, Dana White=1, Michael Jordan=9, Patrick Mahomes=2}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"nnqkt17143103131230f7ff7d9f6ca\",\n",
+ " \"sports_likes\": \"{ufc=3, nba active=3, uss=1, nascar=98, nfl active=15, college football=3}\",\n",
+ " \"state\": \"IL\",\n",
+ " \"top_entity\": \"Tony Stewart\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12976\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"4950ec58-2a5c-45da-887a-27799672a3d8\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 362493, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 362494, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 28,\n",
+ " \"city\": \"Pensacola\",\n",
+ " \"entity_likes\": \"{Tara Davis Woodhall=2, Dan Quinn=2, Elaine Thompson=1, Shaquille ONeal=5, Bronny James=2, Caitlin Clark=6, Chennedy Carter=2, Sydney McLaughlin=1, ShaCarri Richardson=14, Dawn Staley=2, Gabby Thomas=3, Deion Sanders=62, Noah Lyles=10, Simone Biles=13, Others=118, Serena Williams=2, LeBron James=2, Quincy Wilson=1, Rebeca Andrade=1, Angel Reese=2, Usain Bolt=4, Michael Jordan=4, Floyd Mayweather=2, Patrick Mahomes=5}\",\n",
+ " \"latest_sport_read\": \"nba\",\n",
+ " \"ppid\": \"7tvpm1710440006185f5ec40de54bf\",\n",
+ " \"sports_likes\": \"{wnba=11, ufc=1, nba active=10, uss=58, boxing=2, nba legends=8, nfl active=9, nba=1, college football=163, tennis=3}\",\n",
+ " \"state\": \"FL\",\n",
+ " \"top_entity\": \"Deion Sanders\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"college football\",\n",
+ " },\n",
+ " name=\"user_12975\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"c844b69d-72bc-4bc1-8beb-edbb26ba0619\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 353159, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 353159, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 44,\n",
+ " \"city\": \"Canton\",\n",
+ " \"entity_likes\": \"{Tara Davis Woodhall=1, Dan Quinn=2, Elaine Thompson=1, Shaquille ONeal=10, Sean Payton=1, Tom Brady=1, Caitlin Clark=10, Sydney McLaughlin=9, ShaCarri Richardson=27, Gabby Thomas=5, Deion Sanders=16, Noah Lyles=7, Simone Biles=2, Breanna Stewart=1, Others=65, Serena Williams=6, LeBron James=14, Quincy Wilson=2, Sabrina Ionescu=2, Angel Reese=5, Erriyon Knighton=1, Shericka Jackson=2, Usain Bolt=3, Hezley Rivera=1, Dana White=1, Michael Jordan=7, Candace Parker=2, Patrick Mahomes=2}\",\n",
+ " \"latest_sport_read\": \"nfl\",\n",
+ " \"ppid\": \"c66581710732168012f4dec26d05e8\",\n",
+ " \"sports_likes\": \"{wnba=14, ufc=1, nba active=21, uss=70, boxing=6, nba legends=27, nfl active=15, nfl legends=1, college football=42, tennis=9}\",\n",
+ " \"state\": \"OH\",\n",
+ " \"top_entity\": \"ShaCarri Richardson\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"uss\",\n",
+ " },\n",
+ " name=\"user_12974\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"4795faad-93ee-4f50-94f7-bafe62d47bc1\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 343759, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 343759, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 58,\n",
+ " \"city\": \"Tulsa\",\n",
+ " \"entity_likes\": \"{Dale Earnhardt Jr=9, Others=54, Jordan Chiles=1, Denny Hamlin=8, Kyle Busch=13, Tony Stewart=27, Michael Jordan=7, Michael Phelps=1, Simone Biles=1}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"l5t7w1709681830793f7f665e6157a\",\n",
+ " \"sports_likes\": \"{nba legends=1, uss=3, nascar=116, others=1}\",\n",
+ " \"state\": \"OK\",\n",
+ " \"top_entity\": \"Tony Stewart\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12973\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"9e11ac42-5c54-4e75-a363-aabd91358c28\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 334396, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 334397, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 44,\n",
+ " \"city\": \"Wilton Manors\",\n",
+ " \"entity_likes\": \"{Dale Earnhardt Jr=8, Others=58, Kyle Busch=9, Denny Hamlin=9, Tony Stewart=20, Bubba Wallace=5, Michael Jordan=3, Patrick Mahomes=2}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"fnpdj17097029293234deb46e2583a\",\n",
+ " \"sports_likes\": \"{nfl active=2, uss=1, nascar=111}\",\n",
+ " \"state\": \"FL\",\n",
+ " \"top_entity\": \"Tony Stewart\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12972\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"9be35edc-467f-41bd-acb3-320aa5ecffcf\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 324930, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 324931, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 72,\n",
+ " \"city\": \"Maryville\",\n",
+ " \"entity_likes\": \"{Others=54, Bill Belichick=1, Kyle Busch=15, Tony Stewart=23, Caitlin Clark=2, Dale Earnhardt Jr=15, Olivia Dunne=2, Denny Hamlin=8, Bubba Wallace=2, Michael Jordan=7, Simone Biles=3, Patrick Mahomes=10}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"5r6np1711468788752e89901959a1c\",\n",
+ " \"sports_likes\": \"{wnba=3, nfl active=11, uss=5, nascar=122, others=1}\",\n",
+ " \"state\": \"TN\",\n",
+ " \"top_entity\": \"Tony Stewart\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12971\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"6b9a9c0b-a1c6-45eb-9085-41e83e3d12e2\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 315598, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 315599, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 45,\n",
+ " \"city\": \"Captain Cook\",\n",
+ " \"entity_likes\": \"{Dale Earnhardt Jr=10, Others=42, Kyle Busch=8, Denny Hamlin=6, Tony Stewart=23, Bubba Wallace=4, Michael Jordan=10}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"tlwvs17162229474718d60903eaf36\",\n",
+ " \"sports_likes\": \"{nascar=103}\",\n",
+ " \"state\": \"HI\",\n",
+ " \"top_entity\": \"Tony Stewart\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12970\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"60df090e-cb0d-4d56-a5cd-bcf7162dbbd4\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 306010, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 306011, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 50,\n",
+ " \"city\": \"Wagram\",\n",
+ " \"entity_likes\": \"{Others=50, Shaquille ONeal=2, LeBron James=3, Kyle Busch=9, Tony Stewart=5, Caitlin Clark=2, Dale Earnhardt Jr=6, Deion Sanders=17, Jim Harbaugh=4, Denny Hamlin=4, Bubba Wallace=4, Michael Jordan=17}\",\n",
+ " \"latest_sport_read\": \"nba\",\n",
+ " \"ppid\": \"8wgxh17023089742317e2410af281a\",\n",
+ " \"sports_likes\": \"{wnba=3, nba active=8, wwe=3, nascar=52, nba legends=12, nfl active=3, nfl legends=1, college football=40, others=1}\",\n",
+ " \"state\": \"NC\",\n",
+ " \"top_entity\": \"Deion Sanders\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12969\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"b3a5d5d5-01f1-499f-af3e-0e0047bb4d58\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 296415, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 296415, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 55,\n",
+ " \"city\": \"Marion\",\n",
+ " \"entity_likes\": \"{Dale Earnhardt Jr=7, Others=63, Kyle Busch=38, Denny Hamlin=14, Tony Stewart=21, Bubba Wallace=11, Michael Jordan=5}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"5mhq817108288806914ea2e8046bff\",\n",
+ " \"sports_likes\": \"{nfl active=1, nascar=157, others=1}\",\n",
+ " \"state\": \"NC\",\n",
+ " \"top_entity\": \"Kyle Busch\",\n",
+ " \"top_sources\": \"facebook\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12968\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"639c741c-6f6a-4c87-be70-e980b412f332\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 286775, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 286775, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 45,\n",
+ " \"city\": \"Arcanum\",\n",
+ " \"entity_likes\": \"{Others=115, Dan Quinn=1, Shaquille ONeal=1, LeBron James=1, Kyle Busch=16, Tony Stewart=27, Angel Reese=1, Tiger Woods=3, Dale Earnhardt Jr=32, ShaCarri Richardson=1, Jim Harbaugh=5, Denny Hamlin=17, Bubba Wallace=7, Michael Jordan=10, Patrick Mahomes=5}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"6b9rp1699808086600c15fdce82da2\",\n",
+ " \"sports_likes\": \"{wnba=1, golf=31, nba active=2, uss=1, nascar=192, nba legends=2, nfl active=9, college football=4}\",\n",
+ " \"state\": \"OH\",\n",
+ " \"top_entity\": \"Dale Earnhardt Jr\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12967\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"83a88deb-b918-4b16-88cc-c8cc37883f12\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 277434, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 277435, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 64,\n",
+ " \"city\": \"Taneytown\",\n",
+ " \"entity_likes\": \"{Dan Quinn=2, Shaquille ONeal=4, Sean Payton=1, Joe Rogan=4, Caitlin Clark=5, Chennedy Carter=2, ShaCarri Richardson=4, Alex Rodriguez=2, Ronda Rousey=1, Khabib=3, Olivia Dunne=2, Deion Sanders=5, Jon Jones=2, Noah Lyles=2, Simone Biles=2, Breanna Stewart=1, Others=47, LeBron James=9, Quincy Wilson=1, Angel Reese=1, Dana White=8, Michael Jordan=2, Conor McGregor=3, Floyd Mayweather=3, Patrick Mahomes=5}\",\n",
+ " \"latest_sport_read\": \"nba\",\n",
+ " \"ppid\": \"z9tqg17112049792834fe04b240edd\",\n",
+ " \"sports_likes\": \"{soccer=4, wnba=7, tennis=2, ufc=31, nba active=19, uss=13, nascar=1, boxing=8, nba legends=8, nfl active=13, nfl legends=1, college football=14}\",\n",
+ " \"state\": \"MD\",\n",
+ " \"top_entity\": \"LeBron James\",\n",
+ " \"top_sources\": \"google search\",\n",
+ " \"top_sport\": \"ufc\",\n",
+ " },\n",
+ " name=\"user_12966\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"35b1ac51-bbfd-43c1-b5f8-fde4ea5f8c87\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 268211, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 268211, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 34,\n",
+ " \"city\": \"Evansville\",\n",
+ " \"entity_likes\": \"{Dale Earnhardt Jr=18, Others=153, Kyle Busch=37, Denny Hamlin=33, Tony Stewart=24, Bubba Wallace=18, Michael Jordan=6}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"wtvl917073296482602fc388e778ba\",\n",
+ " \"sports_likes\": \"{nascar=288, others=1}\",\n",
+ " \"state\": \"IN\",\n",
+ " \"top_entity\": \"Kyle Busch\",\n",
+ " \"top_sources\": \"facebook\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12965\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"fc2a7acd-614b-48f1-9de9-6ee0a611f4bf\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 258879, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 258880, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 46,\n",
+ " \"city\": \"Garland\",\n",
+ " \"entity_likes\": \"{Shaquille ONeal=18, Sean Payton=2, Joe Rogan=5, Tom Brady=1, Tony Stewart=1, Bronny James=2, Caitlin Clark=7, Sydney McLaughlin=3, ShaCarri Richardson=14, Dawn Staley=1, Kishane Thompson=1, Gabby Thomas=2, Ronda Rousey=2, Khabib=4, Jordan Chiles=1, Deion Sanders=33, Noah Lyles=9, Simone Biles=6, Others=127, Serena Williams=1, Fred Kerley=1, LeBron James=12, Kevin OConnell=1, Angel Reese=1, Usain Bolt=4, Dana White=11, Michael Jordan=8, Conor McGregor=5, Floyd Mayweather=4, Patrick Mahomes=16}\",\n",
+ " \"latest_sport_read\": \"boxing\",\n",
+ " \"ppid\": \"28grs1699220981051d89e8c41a621\",\n",
+ " \"sports_likes\": \"{wnba=4, f1=1, tennis=10, ufc=37, nba active=36, uss=48, nascar=2, boxing=17, nba legends=37, nfl active=29, nfl legends=3, college football=79}\",\n",
+ " \"state\": \"TX\",\n",
+ " \"top_entity\": \"Deion Sanders\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"college football\",\n",
+ " },\n",
+ " name=\"user_12964\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"80536931-dec8-409c-95e2-f42aa85b8a93\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 249553, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 249554, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 78,\n",
+ " \"city\": \"Beech Mountain\",\n",
+ " \"entity_likes\": \"{Tara Davis Woodhall=1, Others=65, Kyle Busch=10, Tony Stewart=13, Tiger Woods=6, Michael Phelps=1, Sydney McLaughlin=1, Dale Earnhardt Jr=8, ShaCarri Richardson=6, Gabby Thomas=2, Denny Hamlin=18, Bubba Wallace=4, Michael Jordan=6, Noah Lyles=3, Patrick Mahomes=6}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"gg7pm170775327216887544300d278\",\n",
+ " \"sports_likes\": \"{golf=11, ufc=1, uss=15, nascar=111, nfl active=11, others=1}\",\n",
+ " \"state\": \"NC\",\n",
+ " \"top_entity\": \"Denny Hamlin\",\n",
+ " \"top_sources\": \"google search\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12963\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"2e1e66e9-58e3-45ad-822d-2047a1d7cda2\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 240300, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 23, 240300, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 59,\n",
+ " \"city\": \"Broken Arrow\",\n",
+ " \"entity_likes\": \"{Others=62, Tara Davis Woodhall=1, Brittney Griner=3, Elaine Thompson=1, Shaquille ONeal=14, LeBron James=23, Bill Belichick=1, Rebeca Andrade=1, Sabrina Ionescu=1, Angel Reese=2, Bronny James=2, Tiger Woods=1, Caitlin Clark=13, Sydney McLaughlin=1, Shericka Jackson=2, ShaCarri Richardson=13, Gabby Thomas=4, Usain Bolt=1, Deion Sanders=20, Dana White=1, Michael Jordan=8, Simone Biles=5, Breanna Stewart=1}\",\n",
+ " \"latest_sport_read\": \"uss\",\n",
+ " \"ppid\": \"rxw2d17026980489166612e3c7c181\",\n",
+ " \"sports_likes\": \"{wnba=11, ufc=1, nba active=49, uss=32, nba legends=31, nfl active=7, nfl legends=1, college football=49}\",\n",
+ " \"state\": \"OK\",\n",
+ " \"top_entity\": \"LeBron James\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"college football\",\n",
+ " },\n",
+ " name=\"user_12962\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"43324534-5315-4294-bc01-5b46fc7451d0\",\n",
+ " created_at=datetime.datetime(\n",
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+ " \"state\": \"MA\",\n",
+ " \"top_entity\": \"Dale Earnhardt Jr\",\n",
+ " \"top_sources\": \"google search\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12883\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"71e8aa48-3634-423f-909c-0bc2dc6d1e66\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 493226, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 493226, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 40,\n",
+ " \"city\": \"Bridgeport\",\n",
+ " \"entity_likes\": \"{Others=18, Tara Davis Woodhall=1, Elaine Thompson=2, Shaquille ONeal=5, Serena Williams=10, Fred Kerley=1, Rebeca Andrade=2, Jade Carey=2, Caitlin Clark=2, Michael Phelps=1, Sydney McLaughlin=1, Arnold Schwarzenegger=1, Shericka Jackson=1, ShaCarri Richardson=13, Gabby Thomas=3, Usain Bolt=10, Jordan Chiles=1, Deion Sanders=1, Michael Jordan=2, Noah Lyles=7, Simone Biles=28, Patrick Mahomes=1}\",\n",
+ " \"latest_sport_read\": \"tennis\",\n",
+ " \"ppid\": \"tq8dw1703205107273a4e3da9719be\",\n",
+ " \"sports_likes\": \"{soccer=1, wnba=1, uss=83, nba legends=7, nfl active=2, bodybuilding=1, college football=2, tennis=16}\",\n",
+ " \"state\": \"CT\",\n",
+ " \"top_entity\": \"Simone Biles\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"uss\",\n",
+ " },\n",
+ " name=\"user_12882\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"5134e56d-074b-492b-ba64-e5fd7c7fb6de\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 484121, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 484122, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 23,\n",
+ " \"city\": \"Lauderhill\",\n",
+ " \"entity_likes\": \"{Shaquille ONeal=2, Sean Payton=3, Joe Rogan=7, Shelly Ann Frazer Pryce=1, Kyle Busch=3, Tom Brady=1, Tony Stewart=3, Mike Tyson=6, Caitlin Clark=3, Femke Bol=2, Sydney McLaughlin=5, ShaCarri Richardson=4, Kishane Thompson=1, Gabby Thomas=1, Khabib=2, Jordan Chiles=2, Olivia Dunne=2, Deion Sanders=1, Noah Lyles=5, Simone Biles=3, Jake Paul=1, Others=42, Serena Williams=1, Tiger Woods=1, Dale Earnhardt Jr=4, Denny Hamlin=2, Dana White=2, Michael Jordan=1, Floyd Mayweather=3}\",\n",
+ " \"latest_sport_read\": \"uss\",\n",
+ " \"ppid\": \"s8d29171287710911410e9f713f6af\",\n",
+ " \"sports_likes\": \"{golf=3, ufc=13, nba active=4, uss=29, nascar=26, boxing=11, nba legends=4, nfl active=14, nfl legends=3, college football=3, tennis=4}\",\n",
+ " \"state\": \"FL\",\n",
+ " \"top_entity\": \"Joe Rogan\",\n",
+ " \"top_sources\": \"google news\",\n",
+ " \"top_sport\": \"uss\",\n",
+ " },\n",
+ " name=\"user_12881\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"b9139854-c314-4e81-bf89-306ea3ca7d28\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 474914, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 474914, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 39,\n",
+ " \"city\": \"Spokane Valley\",\n",
+ " \"entity_likes\": \"{Dale Earnhardt Jr=3, Others=33, Kyle Busch=23, Denny Hamlin=8, Tony Stewart=1, Bubba Wallace=4, Michael Jordan=1, Patrick Mahomes=64}\",\n",
+ " \"latest_sport_read\": \"nfl\",\n",
+ " \"ppid\": \"c9brb16993043699712fe8cbefcf65\",\n",
+ " \"sports_likes\": \"{nfl active=64, nfl=1, nascar=71, tennis=1}\",\n",
+ " \"state\": \"WA\",\n",
+ " \"top_entity\": \"Patrick Mahomes\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12880\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"7612f7db-d1aa-4365-8728-a0e1d9ca0d77\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 465879, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 465880, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 78,\n",
+ " \"city\": \"Mahopac\",\n",
+ " \"entity_likes\": \"{Others=70, Shaquille ONeal=6, Serena Williams=20, LeBron James=8, Quincy Wilson=1, Rebeca Andrade=1, Bronny James=1, Sydney McLaughlin=2, ShaCarri Richardson=14, Gabby Thomas=5, Usain Bolt=2, Steph Curry=2, Michael Jordan=10, Noah Lyles=7}\",\n",
+ " \"latest_sport_read\": \"tennis\",\n",
+ " \"ppid\": \"xlsvl1709741308093663153187dbe\",\n",
+ " \"sports_likes\": \"{soccer=1, wnba=1, mlb=1, nba active=19, uss=37, nba legends=23, college football=2, others=1, tennis=64}\",\n",
+ " \"state\": \"NY\",\n",
+ " \"top_entity\": \"Serena Williams\",\n",
+ " \"top_sources\": \"google search\",\n",
+ " \"top_sport\": \"tennis\",\n",
+ " },\n",
+ " name=\"user_12879\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"2c1af3fd-2fcb-42e6-b349-3321cd8c8915\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 456797, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 456798, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 56,\n",
+ " \"city\": \"Richmond\",\n",
+ " \"entity_likes\": \"{Dale Earnhardt Jr=27, Others=71, Deion Sanders=1, Jim Harbaugh=5, Denny Hamlin=11, Kyle Busch=39, Tony Stewart=23, Bubba Wallace=6, Michael Jordan=15, Patrick Mahomes=5}\",\n",
+ " \"latest_sport_read\": \"nascar\",\n",
+ " \"ppid\": \"8hxdp169971023268921acc266a987\",\n",
+ " \"sports_likes\": \"{uss=1, nascar=186, nba legends=1, nfl active=6, college football=7, others=2}\",\n",
+ " \"state\": \"VA\",\n",
+ " \"top_entity\": \"Kyle Busch\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nascar\",\n",
+ " },\n",
+ " name=\"user_12878\",\n",
+ " ),\n",
+ " UserData(\n",
+ " id=\"ab6ca560-aa18-4a77-a5dc-cf16df426b44\",\n",
+ " created_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 447731, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " updated_at=datetime.datetime(\n",
+ " 2024, 10, 9, 10, 44, 22, 447732, tzinfo=datetime.timezone.utc\n",
+ " ),\n",
+ " about=\"\",\n",
+ " metadata={\n",
+ " \"age\": 81,\n",
+ " \"city\": \"Fishers\",\n",
+ " \"entity_likes\": \"{Others=35, Shaquille ONeal=10, Serena Williams=6, LeBron James=4, Tiger Woods=3, Caitlin Clark=6, Michael Phelps=1, Dawn Staley=1, Deion Sanders=1, Olivia Dunne=3, Michael Jordan=4, Simone Biles=17, Patrick Mahomes=30}\",\n",
+ " \"latest_sport_read\": \"nfl\",\n",
+ " \"ppid\": \"j6k481706464547054c3940b7e352e\",\n",
+ " \"sports_likes\": \"{soccer=4, wnba=6, golf=3, nba active=15, uss=24, nascar=1, nba legends=15, nfl active=37, nba=1, college football=8, tennis=7}\",\n",
+ " \"state\": \"IN\",\n",
+ " \"top_entity\": \"Patrick Mahomes\",\n",
+ " \"top_sources\": \"discover\",\n",
+ " \"top_sport\": \"nfl active\",\n",
+ " },\n",
+ " name=\"user_12877\",\n",
+ " ),\n",
+ "]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "2ffd5dcd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "SyncOffsetPagination[Agent](items=[Agent(id='03d65862-9f40-41a6-990f-afec6354a1f4', created_at=datetime.datetime(2024, 10, 7, 3, 4, 47, 170392, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 7, 3, 4, 47, 170392, tzinfo=datetime.timezone.utc), about='You are an agent that sends emails with poems to users.', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=1.2, top_p=0.95), instructions=[], metadata={}, model='gpt-4o', name='Poem Email'), Agent(id='7ccae40c-633e-4032-a9a9-550872ad1dbc', created_at=datetime.datetime(2024, 10, 7, 2, 14, 48, 452564, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 7, 2, 14, 48, 452564, tzinfo=datetime.timezone.utc), about='Dude who sends dope poems', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=1.1, top_p=0.95), instructions=[], metadata={}, model='gpt-4o', name='Poem Emailer'), Agent(id='512de8a6-c5db-4434-914a-937976c326a9', created_at=datetime.datetime(2024, 10, 4, 23, 41, 13, 339146, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 4, 23, 41, 13, 339146, tzinfo=datetime.timezone.utc), about='hello', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=0.7, top_p=0.95), instructions=[], metadata={'a': 1}, model='o1-mini', name='hello'), Agent(id='9752eff3-eb17-4814-9f96-c52fb7955255', created_at=datetime.datetime(2024, 10, 1, 17, 56, 57, 112682, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 1, 17, 56, 57, 112684, tzinfo=datetime.timezone.utc), about='An agent that helps users of the Reclaim app verify their ownership of their data and reclaim their data from third-party providers.', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=0.7, top_p=0.95), instructions=[], metadata={}, model='gpt-4o', name='Reclaimer Agent'), Agent(id='3bb7bf64-70e3-40aa-be42-fc76299a4729', created_at=datetime.datetime(2024, 10, 1, 17, 56, 28, 525591, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 1, 17, 56, 28, 525592, tzinfo=datetime.timezone.utc), about='An agent that helps users of the Reclaim app verify their ownership of their data and reclaim their data from third-party providers.', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=0.7, top_p=0.95), instructions=[], metadata={}, model='gpt-4o', name='Reclaimer Agent'), Agent(id='0274f724-3465-4436-86ff-950b73e47267', created_at=datetime.datetime(2024, 10, 1, 17, 55, 37, 429487, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 1, 17, 55, 37, 429487, tzinfo=datetime.timezone.utc), about='An agent that helps users of the Reclaim app verify their ownership of their data and reclaim their data from third-party providers.', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=0.7, top_p=0.95), instructions=[], metadata={}, model='gpt-4o', name='Reclaimer Agent'), Agent(id='68c0ac2b-b355-466e-9db6-fe0689dc1453', created_at=datetime.datetime(2024, 10, 1, 17, 49, 44, 347786, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 1, 17, 49, 44, 347786, tzinfo=datetime.timezone.utc), about='An agent that helps users of the Reclaim app verify their ownership of their data and reclaim their data from third-party providers.', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=0.7, top_p=0.95), instructions=[], metadata={}, model='gpt-4o', name='Reclaimer Agent'), Agent(id='65e0dac5-5ef5-427a-aa43-512d0bd21f4d', created_at=datetime.datetime(2024, 10, 1, 17, 48, 13, 731758, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 1, 17, 48, 13, 731759, tzinfo=datetime.timezone.utc), about='An agent that helps users of the Reclaim app verify their ownership of their data and reclaim their data from third-party providers.', default_settings=DefaultSettings(frequency_penalty=0.0, length_penalty=1.0, min_p=0.01, presence_penalty=0.0, repetition_penalty=1.0, temperature=0.7, top_p=0.95), instructions=[], metadata={}, model='gpt-4o', name='Reclaimer Agent')])"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.agents.list()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "29d282de",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "SyncOffsetPagination[User](items=[User(id='221e8088-e17e-40f4-982e-6883bdb711e9', created_at=datetime.datetime(2024, 10, 5, 18, 23, 28, 109991, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 5, 18, 23, 28, 109992, tzinfo=datetime.timezone.utc), about='', metadata={'user_ppid': 'xyz'}, name='Diwank'), User(id='2b4e4f91-36d8-4f5c-a3e2-4190b4482df8', created_at=datetime.datetime(2024, 10, 5, 18, 9, 10, 732144, tzinfo=datetime.timezone.utc), updated_at=datetime.datetime(2024, 10, 5, 18, 9, 10, 732145, tzinfo=datetime.timezone.utc), about='', metadata={'ppid': 'xyz'}, name='Diwank')])"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.users.list()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c96f5022",
+ "metadata": {},
+ "source": [
+ "## Agent with title lib"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "5de0f61b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Defining the agent\n",
+ "name = \"NewsLibraryAgent\"\n",
+ "about = \"It is used to manage a library of news article titles and their related data\"\n",
+ "default_settings = {\n",
+ " \"temperature\": 0.6,\n",
+ " \"top_p\": 0.9,\n",
+ " \"min_p\": 0.05,\n",
+ " \"presence_penalty\": 0.2,\n",
+ " \"frequency_penalty\": 0.2,\n",
+ " \"length_penalty\": 1.0\n",
+ "}\n",
+ "\n",
+ "\n",
+ "# Create the agent\n",
+ "agent = client.agents.create_or_update(\n",
+ " agent_id = '847b03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " name=name,\n",
+ " about=about,\n",
+ " model=\"gpt-4o\"\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "0392d3c6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "ResourceCreated(id='602641f5-29cb-4895-886f-d4db4ba47d8e', created_at=datetime.datetime(2024, 10, 9, 10, 45, 39, 700109, tzinfo=datetime.timezone.utc), jobs=['78251ce4-9199-49e6-a5de-f52e3cc1b537'])"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.agents.docs.create(\n",
+ " agent_id = '847d03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " title = \"NewsTitles\",\n",
+ " content = articles[:25000] \n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "fa817293",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "DocSearchResponse(docs=[], time=1.0753483772277832)"
+ ]
+ },
+ "execution_count": 49,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.agents.docs.search(\n",
+ " agent_id = '847b03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " text = \"nascar-news-kyle-busch-denny-hamlin-brad-keselowski-fans-beef-over-their-superstars-filling-the-void-in-nascar-left-by-legendary-cup-champ\"\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "4fb0e0be",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "SyncOffsetPagination[Doc](items=[])"
+ ]
+ },
+ "execution_count": 50,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.agents.docs.list(\n",
+ " agent_id = '847b03b1-856a-4ae1-a1f5-ad994ba5c87d'\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c9c08542",
+ "metadata": {},
+ "source": [
+ "## User Creation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "e0e70ef0",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:00<00:00, 394.98it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in tqdm(range(len(user_data))):\n",
+ " \n",
+ " client.users.create(\n",
+ " name = f\"user_{i}\",\n",
+ " metadata={\n",
+ " \"ppid\": str(user_data[i][\"metadata\"][\"ppid\"]), # Ensure it's a native int\n",
+ " \"age\": int(user_data[i][\"metadata\"][\"age\"]), # Ensure it's a native int\n",
+ " \"state\": str(user_data[i][\"metadata\"][\"state\"]), # Convert to string if not already\n",
+ " \"city\": str(user_data[i][\"metadata\"][\"city\"]), # Convert to string if not already\n",
+ " \"sports_likes\": str(user_data[i][\"metadata\"][\"sports_likes\"]), # Convert to string or json serializable format\n",
+ " \"entity_likes\": str(user_data[i][\"metadata\"][\"entity_likes\"]), # Same as above\n",
+ " \"top_sport\": str(user_data[i][\"metadata\"][\"top_sport\"]),\n",
+ " \"top_entity\": str(user_data[i][\"metadata\"][\"top_entity\"]),\n",
+ " \"latest_sport_read\": str(user_data[i][\"metadata\"][\"latest_sport_read\"]),\n",
+ " \"top_sources\": str(user_data[i][\"metadata\"][\"top_sources\"])\n",
+ " }\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "15531cc5",
+ "metadata": {},
+ "source": [
+ "## Profiler "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "48589b59",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Defining the agent\n",
+ "name = \"ProfilerAgent\"\n",
+ "about = \"It is used to create/update the profile of the user\"\n",
+ "default_settings = {\n",
+ " \"temperature\": 0.9,\n",
+ " \"top_p\": 0.9,\n",
+ " \"min_p\": 0.05,\n",
+ " \"presence_penalty\": 0.2,\n",
+ " \"frequency_penalty\": 0.2,\n",
+ " \"length_penalty\": 1.0,\n",
+ " \"max_tokens\": 250,\n",
+ "}\n",
+ "\n",
+ "\n",
+ "# Create the agent\n",
+ "agent = client.agents.create_or_update(\n",
+ " agent_id = '844e03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " name=name,\n",
+ " about=about,\n",
+ " model=\"gpt-4o\",\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "23649eeb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# The profiler workflow\n",
+ "task_def = yaml.safe_load(\"\"\"\n",
+ "name: generate_update_persona\n",
+ "\n",
+ "# Define the input schema for the workflow\n",
+ "input_schema:\n",
+ " type: object\n",
+ " properties:\n",
+ " user_ppid:\n",
+ " type: string\n",
+ " articles_read:\n",
+ " type: array\n",
+ " items:\n",
+ " type: string\n",
+ " required:\n",
+ " - user_ppid\n",
+ " - articles_read\n",
+ "\n",
+ "# Define the tools that are going to be used in the workflow\n",
+ "tools:\n",
+ " - name: get_user_from_ppid\n",
+ " description: Get a user from the user ppid\n",
+ " system:\n",
+ " resource: user\n",
+ " operation: list\n",
+ " \n",
+ " - name: list_user_docs\n",
+ " description: List the user docs\n",
+ " system:\n",
+ " resource: user\n",
+ " subresource: doc\n",
+ " operation: list\n",
+ "\n",
+ " - name: create_user_doc\n",
+ " description: Create a user doc\n",
+ " system:\n",
+ " resource: user\n",
+ " subresource: doc\n",
+ " operation: create\n",
+ "\n",
+ "main:\n",
+ " # Get the user from the ppid using metadata_filter (returns a list)\n",
+ " - tool: get_user_from_ppid\n",
+ " arguments:\n",
+ " limit: \"1\"\n",
+ " metadata_filter:\n",
+ " ppid: inputs[0]['user_ppid']\n",
+ "\n",
+ " # Unwrap the list to get the user\n",
+ " - evaluate:\n",
+ " user: _[0]\n",
+ "\n",
+ "\n",
+ " # Get the user persona document using metadata_filter (returns a list)\n",
+ " - tool: list_user_docs\n",
+ " arguments:\n",
+ " user_id: _['user']['id']\n",
+ " limit: \"1\"\n",
+ " sort_by: \"'created_at'\"\n",
+ " direction: \"'desc'\"\n",
+ "\n",
+ " # Get the doc if it exists\n",
+ " - evaluate:\n",
+ " doc: _[0] if len(_) > 0 else {}\n",
+ "\n",
+ "\n",
+ " # Get the user persona from the doc if the doc exists\n",
+ " - evaluate:\n",
+ " user_persona: _['doc'].get('content', \"\")\n",
+ "\n",
+ "\n",
+ " # Create the user persona using the prompt step\n",
+ " - prompt:\n",
+ " - role: user\n",
+ " content: You are an expert at creating user profile based on data. Write the user persona based on {{_['user_persona']}} + {{inputs[2]['user']['metadata']}} + {{inputs[0]['articles_read']}}\n",
+ " unwrap: true\n",
+ " \n",
+ " # Create a new persona document\n",
+ " - tool: create_user_doc\n",
+ " arguments:\n",
+ " user_id: inputs[2]['user']['id']\n",
+ " data:\n",
+ " title: \"'User Persona Document'\"\n",
+ " # metadata:\n",
+ " # user_persona: true\n",
+ " content: _\n",
+ "\"\"\"\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "9b211a93",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating/Updating a task\n",
+ "task = client.tasks.create_or_update(\n",
+ " task_id= '813a03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " agent_id= '844e03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " **task_def\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "beb8fca8",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 10/10 [00:00<00:00, 16.50it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in tqdm(range(10)): # range(len(user_data))):\n",
+ " ppid = str(user_data[i][\"metadata\"]['ppid']) \n",
+ " # filtered_df1 = df1[df1['ppid'] == ppid ] \n",
+ " \n",
+ " # if not filtered_df1.empty: \n",
+ " # Creating an Execution\n",
+ " execution = client.executions.create(\n",
+ " task_id= '813a03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " input = {\n",
+ " 'user_ppid': ppid,\n",
+ " 'articles_read' : [\n",
+ " 'nascar-news-they-didnt-wait-for-tony-stewart',\n",
+ " 'nfl-ncaa-news-privilege-to-love-travis-hunters',\n",
+ " 'nascar-news-stuck-in-a-thirty-million-hole-dal',\n",
+ " 'nascar-news-that-shouldnt-take-away-my-playoff',\n",
+ " 'nascar-news-kyle-busch-denny-hamlin-brad-kesel',\n",
+ " ]\n",
+ " }\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "id": "31b8fc47",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "ResourceCreated(id='8e69fbc6-7f10-4067-9b81-4b2015508628', created_at=datetime.datetime(2024, 10, 9, 12, 5, 56, 176543, tzinfo=datetime.timezone.utc), jobs=['6b78a7ea-4703-47a0-9b0c-13111f018586'])"
+ ]
+ },
+ "execution_count": 55,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "execution"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "id": "316b33ae",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "SyncOffsetPagination[Transition](items=[])"
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.executions.transitions.list(\n",
+ " execution_id = '8e69fbc6-7f10-4067-9b81-4b2015508628'\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "07b9042e",
+ "metadata": {},
+ "source": [
+ "## Recommendation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "id": "0dc2b395",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Defining the agent\n",
+ "name = \"TitleRecommender\"\n",
+ "about = \"It is used to recommend the title recommendation for the user\"\n",
+ "default_settings = {\n",
+ " \"temperature\": 0.9,\n",
+ " \"top_p\": 0.9,\n",
+ " \"min_p\": 0.05,\n",
+ " \"presence_penalty\": 0.2,\n",
+ " \"frequency_penalty\": 0.2,\n",
+ " \"length_penalty\": 1.0,\n",
+ " \"max_tokens\": 250,\n",
+ "}\n",
+ "\n",
+ "# Create the agent\n",
+ "agent = client.agents.create_or_update(\n",
+ " agent_id = '865e03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " name=name,\n",
+ " about=about,\n",
+ " model=\"gpt-4o\",\n",
+ ") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "c102054e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for docs in client.agents.docs.list(agent_id = '847b03b1-856a-4ae1-a1f5-ad994ba5c87d'):\n",
+ " client.agents.docs.delete(\n",
+ " agent_id = '847b03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " doc_id = docs.id\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "id": "ead8d197",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(168, 1)"
+ ]
+ },
+ "execution_count": 59,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2 = pd.read_csv('new_titles.csv')\n",
+ "df2.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "id": "b9b839c7",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|βββββββββββββββββββββββββββββββββββββββββ| 168/168 [00:47<00:00, 3.52it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in tqdm(range(len(df2))):\n",
+ " title = df2.iloc[i]['post_name']\n",
+ " \n",
+ " client.agents.docs.create(\n",
+ " agent_id = '847b03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " title = title,\n",
+ " content = title \n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 80,
+ "id": "b9d230e6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "SyncOffsetPagination[Doc](items=[])"
+ ]
+ },
+ "execution_count": 80,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.agents.docs.list(agent_id = '847b03b1-856a-4ae1-a1f5-ad994ba5c87d')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "06a417bd",
+ "metadata": {},
+ "source": [
+ "1. Delete all the docs of libraryAgents \n",
+ "\n",
+ "2. Create new docs for each article with title=headline and content=headline with new batch of article which you are going to recommend\n",
+ "\n",
+ "\n",
+ "3. Get the user_persona\n",
+ "\n",
+ "\n",
+ "4. Ranking based on cosine similarity \n",
+ "5. Pick 5 articles for this users out of 50 \n",
+ "6. Recommend the newsletter title based on this articles "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "id": "ca518cbb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# The profiler workflow\n",
+ "task_def1 = yaml.safe_load(\"\"\"\n",
+ "\n",
+ "name: recommend news articles\n",
+ "\n",
+ "input_schema:\n",
+ " type: object\n",
+ " properties:\n",
+ " user_ppid:\n",
+ " type: string\n",
+ " \n",
+ "tools:\n",
+ " - name: get_user_from_ppid\n",
+ " description: Get a user from the user ppid\n",
+ " system:\n",
+ " resource: user\n",
+ " operation: list\n",
+ "\n",
+ " - name: get_user_docs\n",
+ " description: Get user docs\n",
+ " system:\n",
+ " resource: user\n",
+ " subresource: doc\n",
+ " operation: list\n",
+ " \n",
+ " - name : search_agent_docs\n",
+ " description: Get agent docs\n",
+ " system: \n",
+ " resource: agent\n",
+ " subresource: doc\n",
+ " operation: search \n",
+ " \n",
+ "main:\n",
+ " # Get the user from the ppid using metadata_filter (returns a list)\n",
+ " - tool: get_user_from_ppid\n",
+ " arguments:\n",
+ " limit: \"1\"\n",
+ " metadata_filter:\n",
+ " ppid: inputs[0]['user_ppid']\n",
+ "\n",
+ " # Unwrap the list to get the user\n",
+ " - evaluate:\n",
+ " user: _[0]\n",
+ "\n",
+ " - tool: get_user_docs\n",
+ " arguments:\n",
+ " user_id: _.user.id\n",
+ " limit: \"1\"\n",
+ " sort_by: \"'created_at'\"\n",
+ " direction: \"'desc'\"\n",
+ "\n",
+ " #user persona will always be available here\n",
+ " - evaluate:\n",
+ " user_embedding: _[0].embeddings\n",
+ " persona: _[0].content\n",
+ "\n",
+ " #Embedding similarity it will rank the docs\n",
+ " - tool: search_agent_docs\n",
+ " arguments:\n",
+ " vector: _.user_embedding\n",
+ " agent_id: \"'847b03b1-856a-4ae1-a1f5-ad994ba5c87d'\"\n",
+ "\n",
+ " #not sure how to evaluate news_titles\n",
+ " - evaluate:\n",
+ " top_titles: \"{{ [doc['title'] for doc in _['docs'][:50]] }}\"\n",
+ "\n",
+ " - prompt: \n",
+ " - role: user\n",
+ " content: Which of these {{_.top_titles}} do you think the user will like. Rank them according to the users' \n",
+ " persona {{inputs[2].biodata}} and give me the top 5 as valid yaml\n",
+ " unwrap: true\n",
+ " \n",
+ " - evaluate:\n",
+ " titles: load_yaml(_)\n",
+ " \n",
+ " - prompt: \n",
+ " - role: user\n",
+ " content: based on these 5 news {{_.titles}} and users' persona {{inputs[2].biodata}}, draft a catchy newsletter title.\n",
+ " unwrap: true\n",
+ " \n",
+ " - evaluate:\n",
+ " newsletter_title: _\n",
+ " titles: output[7].titles\n",
+ " \n",
+ "\"\"\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "id": "12f688c6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating/Updating a task\n",
+ "task1 = client.tasks.create_or_update(\n",
+ " task_id = '825a03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " agent_id = '865e03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " **task_def1\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 76,
+ "id": "374f1b74",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 21%|ββββββββ | 2715/12977 [33:48<2:07:48, 1.34it/s]\n"
+ ]
+ },
+ {
+ "ename": "KeyboardInterrupt",
+ "evalue": "",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m/var/folders/sm/rll592s91t375q5hbck24ptc0000gn/T/ipykernel_46728/1288718815.py\u001b[0m in \u001b[0;36m
\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;31m# Creating an Execution\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m execution = client.executions.create(\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mtask_id\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0;34m'825a03b1-856a-4ae1-a1f5-ad994ba5c87d'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m input = {\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/julep/resources/executions/executions.py\u001b[0m in \u001b[0;36mcreate\u001b[0;34m(self, task_id, input, error, metadata, output, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m 97\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mtask_id\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Expected a non-empty value for `task_id` but received {task_id!r}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 99\u001b[0;31m return self._post(\n\u001b[0m\u001b[1;32m 100\u001b[0m \u001b[0;34mf\"/tasks/{task_id}/executions\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 101\u001b[0m body=maybe_transform(\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/julep/_base_client.py\u001b[0m in \u001b[0;36mpost\u001b[0;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1252\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"post\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjson_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfiles\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mto_httpx_files\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfiles\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1253\u001b[0m )\n\u001b[0;32m-> 1254\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mResponseT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcast_to\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstream\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstream\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstream_cls\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstream_cls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1255\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1256\u001b[0m def patch(\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/julep/_base_client.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m 944\u001b[0m \u001b[0mretries_taken\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 945\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 946\u001b[0;31m return self._request(\n\u001b[0m\u001b[1;32m 947\u001b[0m \u001b[0mcast_to\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcast_to\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 948\u001b[0m \u001b[0moptions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/julep/_base_client.py\u001b[0m in \u001b[0;36m_request\u001b[0;34m(self, cast_to, options, retries_taken, stream, stream_cls)\u001b[0m\n\u001b[1;32m 980\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 981\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 982\u001b[0;31m response = self._client.send(\n\u001b[0m\u001b[1;32m 983\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 984\u001b[0m \u001b[0mstream\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstream\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_should_stream_response_body\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpx/_client.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, auth, follow_redirects)\u001b[0m\n\u001b[1;32m 899\u001b[0m \u001b[0mauth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_build_request_auth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mauth\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 900\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 901\u001b[0;31m response = self._send_handling_auth(\n\u001b[0m\u001b[1;32m 902\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 903\u001b[0m \u001b[0mauth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mauth\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpx/_client.py\u001b[0m in \u001b[0;36m_send_handling_auth\u001b[0;34m(self, request, auth, follow_redirects, history)\u001b[0m\n\u001b[1;32m 927\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 928\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 929\u001b[0;31m response = self._send_handling_redirects(\n\u001b[0m\u001b[1;32m 930\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 931\u001b[0m \u001b[0mfollow_redirects\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfollow_redirects\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpx/_client.py\u001b[0m in \u001b[0;36m_send_handling_redirects\u001b[0;34m(self, request, follow_redirects, history)\u001b[0m\n\u001b[1;32m 964\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 965\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 966\u001b[0;31m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_send_single_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 967\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 968\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_event_hooks\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"response\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpx/_client.py\u001b[0m in \u001b[0;36m_send_single_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 1000\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1001\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mrequest_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1002\u001b[0;31m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtransport\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandle_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1003\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1004\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstream\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSyncByteStream\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpx/_transports/default.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 216\u001b[0m )\n\u001b[1;32m 217\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mmap_httpcore_exceptions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 218\u001b[0;31m \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_pool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandle_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 219\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 220\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstream\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtyping\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mIterable\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_sync/connection_pool.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 260\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mShieldCancellation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresponse_closed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstatus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 262\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 263\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 264\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_sync/connection_pool.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 243\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 244\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 245\u001b[0;31m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconnection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandle_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 246\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mConnectionNotAvailable\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[0;31m# The ConnectionNotAvailable exception is a special case, that\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_sync/connection.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 94\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mConnectionNotAvailable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 95\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 96\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_connection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandle_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 97\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_connect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mRequest\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mNetworkStream\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_sync/http11.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mTrace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"response_closed\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlogger\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mtrace\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 120\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_response_closed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 123\u001b[0m \u001b[0;31m# Sending the request...\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_sync/http11.py\u001b[0m in \u001b[0;36mhandle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 97\u001b[0m \u001b[0mreason_phrase\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 99\u001b[0;31m ) = self._receive_response_headers(**kwargs)\n\u001b[0m\u001b[1;32m 100\u001b[0m trace.return_value = (\n\u001b[1;32m 101\u001b[0m \u001b[0mhttp_version\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_sync/http11.py\u001b[0m in \u001b[0;36m_receive_response_headers\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m \u001b[0mevent\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_receive_event\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 165\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mh11\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mResponse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 166\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_sync/http11.py\u001b[0m in \u001b[0;36m_receive_event\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 198\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 199\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mevent\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mh11\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNEED_DATA\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 200\u001b[0;31m data = self._network_stream.read(\n\u001b[0m\u001b[1;32m 201\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mREAD_NUM_BYTES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 202\u001b[0m )\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/httpcore/_backends/sync.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, max_bytes, timeout)\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mmap_exceptions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc_map\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 27\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msettimeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 28\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_bytes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 29\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 30\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtyping\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/ssl.py\u001b[0m in \u001b[0;36mrecv\u001b[0;34m(self, buflen, flags)\u001b[0m\n\u001b[1;32m 1225\u001b[0m \u001b[0;34m\"non-zero flags not allowed in calls to recv() on %s\"\u001b[0m \u001b[0;34m%\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1226\u001b[0m self.__class__)\n\u001b[0;32m-> 1227\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuflen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1228\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1229\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuflen\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/opt/anaconda3/lib/python3.9/ssl.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m 1100\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1101\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1102\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1103\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mSSLError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1104\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mSSL_ERROR_EOF\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msuppress_ragged_eofs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+ ]
+ }
+ ],
+ "source": [
+ "execution_array = []\n",
+ "for i in tqdm(range(len(df))):\n",
+ " ppid = str(df.iloc[i]['ppid']) \n",
+ " \n",
+ " # Creating an Execution\n",
+ " execution = client.executions.create(\n",
+ " task_id= '825a03b1-856a-4ae1-a1f5-ad994ba5c87d',\n",
+ " input = {\n",
+ " 'user_ppid': ppid,\n",
+ " }\n",
+ " )\n",
+ " execution_array.append(execution.id)\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "id": "e9873437",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['caed8408-235c-4a36-91fe-0559b91ece8d',\n",
+ " '909b976a-b5d4-40cb-8dd6-8a59d7e246d8',\n",
+ " '3519ee27-4e83-4ea4-9a25-e4f539eff630',\n",
+ " '5181be66-ca9d-4fba-a285-39345cb880ec',\n",
+ " 'b51178a4-b295-48dd-a482-55bdae34124c',\n",
+ " '6b78d6fb-335e-4fa0-bf1f-e8346bf938c1',\n",
+ " 'a01f11f8-8d97-4e83-b6cf-64f696247ef2',\n",
+ " 'b504190d-8be9-4f5e-be1a-8b5cf120e6a1',\n",
+ " '1f11e027-3456-4bc3-9e10-343bad92757a',\n",
+ " '485818f2-cdd8-48c4-a87e-da53ff878628',\n",
+ " 'c403e7fa-f15a-4986-a120-7a2e7631453a',\n",
+ " 'f0afea34-aa6c-4c6b-882e-8cbfe4de19a4',\n",
+ " '068ea766-ab13-47ad-ae1d-97b8b7b5db73',\n",
+ " 'b66e1348-3383-4e33-8c18-8f1e1f3cfe75',\n",
+ " 'dd65f882-f781-4f7e-86fb-25dec8af00fd',\n",
+ " '1c0754ce-f8d2-42b8-a034-2a7ef6491f82',\n",
+ " 'cc4dc765-3290-4d03-9325-71e6dfa8e3a2',\n",
+ " '621cc14b-e6da-4797-b90f-77c51fd1f6e6',\n",
+ " '4505b141-2bca-4a8a-8132-9914932faa02',\n",
+ " 'a89f8ce7-fa0b-4c76-9f86-c376a1624aae',\n",
+ " '84b78f75-6a7e-403a-a148-c193a00468b8',\n",
+ " '347e8671-c8c0-4aa0-b44f-2c6eee3b1f99',\n",
+ " '6bdb06d5-2587-4c07-98c1-aaebfc8ebc3d',\n",
+ " '2cd48f41-0ede-4eab-8305-5e2617cc4ff9',\n",
+ " '7d10bb3e-e2e1-4915-a37d-39c60d562920',\n",
+ " '45212feb-7050-48f0-847a-dd7fe8f0e354',\n",
+ " '25bedaba-57c1-4eb7-b7e2-9d8901a69d91',\n",
+ " '46aaf48c-56a9-453e-b5c5-60aad03ae4df',\n",
+ " 'e5f360d7-674a-4285-b4fb-f32e594bcdf2',\n",
+ " 'b3908ba3-0299-4429-834d-998532b25bcd',\n",
+ " 'b237558b-5d70-420f-8e1c-949ffeb58573',\n",
+ " '4fccf58f-6b5f-45a8-8e48-d11fad28313c',\n",
+ " '0d61569d-ad91-401b-a32f-17f5872a56e6',\n",
+ " 'f1e45d9a-e851-4217-8b2e-411de05bffa3',\n",
+ " 'e042d219-ef43-4eea-86f4-4d961656d3b2',\n",
+ " 'f9eef302-ea78-4a18-863a-281c61a16a32',\n",
+ " '3bcd516f-374a-4136-94a7-4a8b86913fbb',\n",
+ " 'c31b10f4-0ee6-4410-8524-d03664c1c4c1',\n",
+ " '81e48f27-ff88-4a03-89ea-1052ac920738',\n",
+ " 'cfddfd03-e794-4783-ad37-9a94b715e3bf',\n",
+ " 'ef881511-258b-435e-8dc4-edd74167c0a5',\n",
+ " '3ae38aa7-72ad-4609-a780-5d5860b7237a',\n",
+ " '86c06d20-ac0a-4972-850d-21c6d425455c',\n",
+ " '9769a872-a955-4e41-9277-31f893705d1c',\n",
+ " '5ec6e658-e79f-47b8-a9ef-bcd0ad731f0d',\n",
+ " '3ddfe2f3-8a2f-451d-9698-6db04c2dda84',\n",
+ " 'e73d0969-3f4a-453b-98ec-8b1a03fcfb25',\n",
+ " 'aefc75d5-db0e-4675-a196-d2b92d93808d',\n",
+ " '6a9ecfaa-4d39-4687-8fc8-b1945e87cfa0',\n",
+ " '2c1a21ab-12a3-44e9-8d29-a8e0974812af',\n",
+ " 'e0646040-b53f-40e3-91a9-c14d9d9018c9',\n",
+ " '7887b8bc-fcc4-4899-84e3-255ae9e06a2d',\n",
+ " '82f889ef-d67a-4626-b76d-213f9ef18c12',\n",
+ " 'c506ac13-6cb7-490a-ba55-ade2b0e291e1',\n",
+ " '87a95f07-c218-4cc2-bdd3-437974bb7fe5',\n",
+ " 'b5550d67-e2cd-4add-b122-7f98e826472e',\n",
+ " 'b3807fce-652f-4a64-b0b2-dbe079d637eb',\n",
+ " 'ac352464-dcb1-4b9a-bbed-dc6d5aa2ca08',\n",
+ " '32b67a8f-673a-46ae-8083-dd6ac4b02152',\n",
+ " 'f7159130-a9b6-4cd0-ace3-f298c02104a8',\n",
+ " '170674a2-483e-42f1-841f-db257f9c9cb2',\n",
+ " 'af6718bc-68d0-40ee-86a7-4ecef9dfe052',\n",
+ " '3ba46633-cea6-4f26-b685-b6df62636feb',\n",
+ " '04114396-4234-4848-aae6-0eaa08a06a2d',\n",
+ " '36cb354b-d2be-478f-b1b8-3a6af58a64fa',\n",
+ " '87725f89-15ba-47d5-b96c-1356fad8940d',\n",
+ " '47bc3a25-2d96-493f-a429-dc6a6f43fb45',\n",
+ " 'bf39de88-cbf8-42bd-aca9-7a205f9d8760',\n",
+ " '1adddd79-98a2-499e-b2bf-0b3f7b40b817',\n",
+ " '1c0dd52c-acb0-44e3-a3e7-f0fcc06ca782',\n",
+ " 'b9e7727c-6487-4a7c-beb9-83788b49f692',\n",
+ " 'e82667f8-7ac3-45dd-8b3c-e4fc1ee285cf',\n",
+ " 'ee0864a2-7687-46d5-a202-8bb50dfed322',\n",
+ " '7cf8561b-ccb3-44ed-a3f0-69d49375547e',\n",
+ " '0b608ba8-29f5-43ac-8eea-a60e9d43b2c0',\n",
+ " '0841a5f6-ebc1-402a-a946-7d1858e6e073',\n",
+ " 'c9009420-a8ec-4163-857c-7b23bf878ed6',\n",
+ " '0751c3c8-4732-47df-b854-fe3d63d89086',\n",
+ " '5867cec0-c901-464e-9cbe-4ca4961719f9',\n",
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+ " 'b0ad7fea-e652-4da9-998b-c113fe681a78',\n",
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+ " '09277405-2e84-423d-90a6-11b5cafcdb34',\n",
+ " '863f2adb-03c6-471d-a653-77e34f665b82',\n",
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+ " 'ecc05d21-0f99-4296-8d2a-af16e2aa257b',\n",
+ " '4136f012-2a76-4008-8815-fbb3a3585bc4',\n",
+ " '533474ab-ef47-4963-8afd-340456fd8a08',\n",
+ " '7b031879-b5ba-4afc-949f-9fb98206d474',\n",
+ " 'f174afb3-2a8d-4ab6-9066-6e6b008d76d4',\n",
+ " 'c699433f-b39d-4c0e-8305-0bb3bed5ab28',\n",
+ " 'f3627282-2ab8-470d-bd53-eb69199f5033',\n",
+ " 'be008fdc-77e5-428f-837b-6d19a10b1a04',\n",
+ " 'a2833d15-6d01-4548-b82c-ec94ceafe2dc',\n",
+ " '1d94c0fb-056e-4d33-b3a0-33879ccd48ba',\n",
+ " '26b5d9ee-d2b5-4159-b012-5f3093d6e94f',\n",
+ " 'b4b4f6e8-959d-4448-a33d-3f5c2e75fa1a',\n",
+ " '6dcf40e0-bba8-4e3e-a675-5185b78bc3d5',\n",
+ " '2ce7d505-56fd-4f6f-b56a-2d308df9942d',\n",
+ " '81446d3d-6692-407f-83f6-2317e718707f',\n",
+ " 'f36d49f4-15be-4047-b5b2-d777aa1c96b1',\n",
+ " 'd222c6a6-293e-403a-ac1f-bf4f9f8c8587',\n",
+ " '1bfdbb14-f69a-4c42-873c-c8f271f3e651',\n",
+ " '0170fd9d-d4b3-49aa-8519-1b17d534b4a7',\n",
+ " '2b845f76-4cc4-428d-b828-043276c0f4ab',\n",
+ " 'e2f5a670-e552-4a86-bf27-90061cd2183a',\n",
+ " '770b65aa-79d8-4b55-b5a0-b3bd879c9f11',\n",
+ " '91c2f69c-fc97-4282-b58c-e048b59d1b95',\n",
+ " '025a1f3a-d085-4086-b635-ab6e64cd9324',\n",
+ " 'c04f765f-b7d3-4ac8-9046-0a8df528a34b',\n",
+ " 'a297e209-d819-4fbe-992b-b8a0b049407d',\n",
+ " 'f0a3c391-6a67-4589-a187-dd4d12736285',\n",
+ " '0376c4d2-3187-4e7d-a169-872f971e5326',\n",
+ " '3d5d0269-3c38-49aa-802d-8cf9a42d77e5',\n",
+ " 'ed2799df-8cfc-483e-a9c7-b20efe3372cc',\n",
+ " '832c86dd-a785-4c05-87e4-ac0abf88e600',\n",
+ " '88a3f7e8-98cf-43ba-b452-163425eae920',\n",
+ " '624d1cb9-86a7-419c-a041-11bf1d69db38',\n",
+ " '35d269d5-2bf3-408c-b611-c9513c8159fa',\n",
+ " 'fc19fee7-e4ad-4d0b-8028-09b820125ec7',\n",
+ " '9ba46625-a2fc-4d4d-ae78-7317f9564c37',\n",
+ " '5b04a1b2-0ca4-4347-8499-a0138fa6f563',\n",
+ " 'ebc5496d-6ccf-4ff7-a3c9-b68fc975e0aa',\n",
+ " 'a2b18c26-bafa-4316-8f3e-6f70e8151d46',\n",
+ " 'd6fda9a4-5fc1-4a0b-9578-8b4bef722a6c',\n",
+ " '46fdbf5b-cb0d-42ec-89f5-7f64c80deb19',\n",
+ " '7f21da0b-4be9-4c59-988f-0adc3ff12987',\n",
+ " 'aa93fd34-aad2-4f8f-b984-6db8e35fad0e',\n",
+ " '690a795d-4430-4b82-838e-9906dba568ac',\n",
+ " '4324d164-e82a-4001-a1ac-941dd16a813b',\n",
+ " '205afaf4-544c-480a-8838-c6d3677e6f43',\n",
+ " 'b7db2c15-0cd2-43da-a14c-319ef2aeacd6',\n",
+ " 'b0b9fbf3-71a5-4452-a28d-023eafb6577c',\n",
+ " 'cd6b661f-6a28-4ac3-9731-b595083004c5',\n",
+ " 'd3cd697f-d20e-4f20-931d-e13d75923e42',\n",
+ " '8ff3eadd-4b5a-49c2-b920-33a46d1ef738',\n",
+ " 'b665b343-33e9-49cb-a30e-c6e7c765300c',\n",
+ " 'd34a40da-65e2-4556-a6f0-b9451a75c7ee',\n",
+ " '52b497ab-7a31-4ac4-832e-4941a3c0bcca',\n",
+ " '31bdd3a0-9114-4078-b7b6-87c8030bde9c',\n",
+ " '5af5ccfe-843c-4de9-bc43-414149bed7a7',\n",
+ " 'fc9dd092-a863-40d0-ad88-fbc079bf762c',\n",
+ " '7a943670-7410-4eac-949d-2db9f6a5ceaf',\n",
+ " '964bb4ee-8fc4-49fa-bed3-820c595185a6',\n",
+ " 'e3c37f98-dd5a-41d6-b715-7eca17cef019',\n",
+ " '79793871-cdea-4b8a-8350-e4b596889c86',\n",
+ " '36c989db-78a4-4ac2-a09c-20644003a984',\n",
+ " 'fda065ac-1529-4537-9fc3-31becbaa87ff',\n",
+ " 'e602c0bf-ae0b-43b8-a000-19da2a8b34bf',\n",
+ " '26ba4bb6-6dcb-4823-bba2-199b3c8c4f1c',\n",
+ " '993bff44-d2ec-4264-b913-25a20bd7350b',\n",
+ " 'd205da0d-0236-4ee9-922c-2a6fe88027bb',\n",
+ " '1ce5004f-4a49-47bd-90cd-fd19118b684b',\n",
+ " '9b406837-6be3-4bd3-9596-cc919c99643c',\n",
+ " 'b634b209-9484-41b9-9071-f74ce6203444',\n",
+ " '32e5749c-abc7-415a-ac68-588697cbcc05',\n",
+ " '9b3e6b64-2925-4389-b1aa-d6c4ec6cc15a',\n",
+ " 'a2291bdb-2ce8-4e56-9cbc-4819de9d6f7e',\n",
+ " 'df73355c-145f-4080-a835-a280c8e2bb02',\n",
+ " '47f253bc-1174-467b-a5e9-98f0f4d77df5',\n",
+ " '45f7ed85-83da-46ef-9bae-067d659626a1',\n",
+ " '95f44903-2c2b-4499-a8ab-aa8e0b44580a',\n",
+ " '94e79610-4e37-4240-94fd-986ee1df7b73',\n",
+ " 'baf35cae-82bb-48fb-be08-1b824c686098',\n",
+ " 'fe9158a6-2c9e-43e4-885a-de9bb0129caa',\n",
+ " '0b23c38f-237b-4878-a2ac-3f5296af4d3e',\n",
+ " 'dbd69e66-d565-4752-b98a-63b0568d12ad',\n",
+ " 'bd043648-a146-45cd-8175-ffd611ddbeac',\n",
+ " '07b3222c-3d52-42a8-9049-112825cb46d0',\n",
+ " 'd989fe4a-5952-40bf-be24-f0ca2c387471',\n",
+ " '4ccd4ed8-5c01-4cf5-bcd7-006bf142d072',\n",
+ " '89b96c29-6100-4c92-aaa6-5d97f1fe17cd',\n",
+ " '552c83da-781a-4086-a7bd-c9d1a3b800a3',\n",
+ " '4eb9940a-cc7f-420d-91a3-2e3d9c605910',\n",
+ " '3fd81259-c1ba-4624-849e-49d7806d7254',\n",
+ " '131f1624-d4b3-4a30-9fba-3e1bc6a941df',\n",
+ " '43a726b6-b467-43c1-b168-a1d5f963a57e',\n",
+ " '045c30f3-a0b4-49af-a233-8273885d15f1',\n",
+ " '41c38def-db0d-4f44-ab29-2101f133f848',\n",
+ " '8bec378c-eda5-4f2a-b2e7-daca60856d18',\n",
+ " ...]"
+ ]
+ },
+ "execution_count": 77,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "execution_array"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 82,
+ "id": "58aa4216",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Execution(id='caed8408-235c-4a36-91fe-0559b91ece8d', created_at=datetime.datetime(2024, 10, 9, 12, 50, 58, 307650, tzinfo=datetime.timezone.utc), input={'user_ppid': 's7lm2170225005507862d53cc9cf54'}, status='queued', task_id='825a03b1-856a-4ae1-a1f5-ad994ba5c87d', updated_at=datetime.datetime(2024, 10, 9, 12, 50, 58, 307651, tzinfo=datetime.timezone.utc), error=None, metadata={}, output=None)"
+ ]
+ },
+ "execution_count": 82,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "client.executions.get(execution_id = 'caed8408-235c-4a36-91fe-0559b91ece8d')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1bc7efde",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/agents-api/notebooks/main-3.ipynb b/agents-api/notebooks/main-3.ipynb
new file mode 100755
index 000000000..613f705c6
--- /dev/null
+++ b/agents-api/notebooks/main-3.ipynb
@@ -0,0 +1,2009 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "36cdb647",
+ "metadata": {},
+ "source": [
+ "### Imports"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "469351b4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from julep import Julep\n",
+ "import yaml\n",
+ "import pandas as pd\n",
+ "import uuid\n",
+ "from tqdm import tqdm"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "e226d8a8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Keys\n",
+ "api_key = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzUxMiJ9.eyJleHAiOjE3Mjg1NTc3MDMsImlhdCI6MTcyODUxNDUwNCwic3ViIjoiMDAwMDAwMDAtMDAwMC0wMDAwLTAwMDAtMDAwMDAwMDAwMDAwIn0.WVCaBdSDKI6brYiZyd8ceSjKwGxKHiUcGYl2Mg3Xnr074MTM7YDMQ7leNI_c-_opc518PNPMhfrhO5_xo39MGQ'\n",
+ "environment = 'local_multi_tenant'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "d3ae8ee1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "client = Julep(api_key = api_key, environment = environment)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "a9be17de",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(12977, 10)"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df = pd.read_csv('power_users.csv')\n",
+ "df.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "fde31169",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1458105, 2)"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df1 = pd.read_csv('titles_10k.csv')\n",
+ "df1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "c914cc2d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " ppid | \n",
+ " titles | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " zt2xx1676756313616f61fc06ce607 | \n",
+ " nascar-news-kyle-busch-denny-hamlin-brad-kesel... | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 9ngxq16741971295637bda693f1856 | \n",
+ " nascar-news-that-shouldnt-take-away-my-playoff... | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 9ngxq16741971295637bda693f1856 | \n",
+ " nascar-news-stuck-in-a-thirty-million-hole-dal... | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " t4ft9170231166061272d670d94e26 | \n",
+ " nfl-ncaa-news-privilege-to-love-travis-hunters... | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 6z9qx1711142742381f25789ebd3f0 | \n",
+ " nascar-news-they-didnt-wait-for-tony-stewart-r... | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
@@ -26,7 +25,7 @@
-*****
+---
> [!NOTE]
> π¨βπ» Here for the devfest.ai event? Join our [Discord](https://discord.com/invite/JTSBGRZrzj) and check out the details below.
@@ -125,6 +124,7 @@ Julep enables the creation of multi-step tasks incorporating decision-making, lo
While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios.
It supports:
+
- Intricate, multi-step processes
- Dynamic decision-making
- Parallel execution
@@ -135,11 +135,12 @@ It supports:
## Quick Example
Imagine a Research AI agent that can do the following:
- 1. Take a topic,
- 2. Come up with 100 search queries for that topic,
- 3. Perform those web searches in parallel,
- 4. Summarize the results,
- 5. Send the summary to Discord
+
+1. Take a topic,
+2. Come up with 100 search queries for that topic,
+3. Perform those web searches in parallel,
+4. Summarize the results,
+5. Send the summary to Discord
In Julep, this would be a single task under 80 lines of code and run fully managed all on its own. All of the steps are executed on Julep's own servers and you don't need to lift a finger. Here's a working example:
@@ -156,20 +157,20 @@ input_schema:
# Define the tools that the agent can use
tools:
-- name: web_search
- type: integration
- integration:
- provider: brave
- setup:
- api_key: "YOUR_BRAVE_API_KEY"
-
-- name: discord_webhook
- type: api_call
- api_call:
- url: "YOUR_DISCORD_WEBHOOK_URL"
- method: POST
- headers:
- Content-Type: application/json
+ - name: web_search
+ type: integration
+ integration:
+ provider: brave
+ setup:
+ api_key: "YOUR_BRAVE_API_KEY"
+
+ - name: discord_webhook
+ type: api_call
+ api_call:
+ url: "YOUR_DISCORD_WEBHOOK_URL"
+ method: POST
+ headers:
+ Content-Type: application/json
# Special variables:
# - inputs: for accessing the input to the task
@@ -178,48 +179,48 @@ tools:
# Define the main workflow
main:
-- prompt:
- - role: system
- content: >-
- You are a research assistant.
- Generate 100 diverse search queries related to the topic:
- {{inputs[0].topic}}
-
- Write one query per line.
- unwrap: true
-
-# Evaluate the search queries using a simple python expression
-- evaluate:
- search_queries: "_.split('\n')"
-
-# Run the web search in parallel for each query
-- over: "_.search_queries"
- map:
- tool: web_search
- arguments:
- query: "_"
- parallelism: 100
+ - prompt:
+ - role: system
+ content: >-
+ You are a research assistant.
+ Generate 100 diverse search queries related to the topic:
+ {{inputs[0].topic}}
+
+ Write one query per line.
+ unwrap: true
-# Collect the results from the web search
-- evaluate:
- results: "'\n'.join([item.result for item in _])"
+ # Evaluate the search queries using a simple python expression
+ - evaluate:
+ search_queries: "_.split('\n')"
+
+ # Run the web search in parallel for each query
+ - over: "_.search_queries"
+ map:
+ tool: web_search
+ arguments:
+ query: "_"
+ parallelism: 100
+
+ # Collect the results from the web search
+ - evaluate:
+ results: "'\n'.join([item.result for item in _])"
+
+ # Summarize the results
+ - prompt:
+ - role: system
+ content: >
+ You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}.
+ The summary should be well-structured, informative, and highlight key findings and insights:
+ {{_.results}}
+ unwrap: true
-# Summarize the results
-- prompt:
- - role: system
+ # Send the summary to Discord
+ - tool: discord_webhook
+ arguments:
content: >
- You are a research summarizer. Create a comprehensive summary of the following research results on the topic {{inputs[0].topic}}.
- The summary should be well-structured, informative, and highlight key findings and insights:
- {{_.results}}
- unwrap: true
-
-# Send the summary to Discord
-- tool: discord_webhook
- arguments:
- content: >
- **Research Summary for {{inputs[0].topic}}**
-
- {{_}}
+ **Research Summary for {{inputs[0].topic}}**
+
+ {{_}}
```
> [!TIP]
@@ -425,22 +426,22 @@ while (message := input("Enter a message: ")) != "quit":
> [!TIP]
> You can find the full python example [here](example.py).
-
## Node.js Quick Start π©
### Step 1: Create an Agent
```javascript
-import { Julep } from '@julep/sdk';
-import yaml from 'js-yaml';
+import { Julep } from "@julep/sdk";
+import yaml from "js-yaml";
-const client = new Julep({ apiKey: 'your_julep_api_key' });
+const client = new Julep({ apiKey: "your_julep_api_key" });
async function createAgent() {
const agent = await client.agents.create({
name: "Storytelling Agent",
model: "gpt-4",
- about: "You are a creative storytelling agent that can craft engaging stories and generate comic panels based on ideas.",
+ about:
+ "You are a creative storytelling agent that can craft engaging stories and generate comic panels based on ideas.",
});
// π οΈ Add an image generation tool (DALLΒ·E) to the agent
@@ -520,11 +521,13 @@ async function createTask(agent) {
```javascript
async function executeTask(task) {
const execution = await client.executions.create(task.id, {
- input: { idea: "A cat who learns to fly" }
+ input: { idea: "A cat who learns to fly" },
});
// π Watch as the story and comic panels are generated
- for await (const transition of client.executions.transitions.stream(execution.id)) {
+ for await (const transition of client.executions.transitions.stream(
+ execution.id
+ )) {
console.log(transition);
}
@@ -543,12 +546,12 @@ async function chatWithAgent(agent) {
// π¬ Send messages to the agent
const rl = readline.createInterface({
input: process.stdin,
- output: process.stdout
+ output: process.stdout,
});
const chat = async () => {
rl.question("Enter a message (or 'quit' to exit): ", async (message) => {
- if (message.toLowerCase() === 'quit') {
+ if (message.toLowerCase() === "quit") {
rl.close();
return;
}
@@ -594,10 +597,12 @@ Julep is made up of the following components:
Think of Julep as a platform that combines both client-side and server-side components to help you build advanced AI agents. Here's how to visualize it:
1. **Your Application Code:**
+
- You use the Julep SDK in your application to define agents, tasks, and workflows.
- The SDK provides functions and classes that make it easy to set up and manage these components.
2. **Julep Backend Service:**
+
- The SDK communicates with the Julep backend over the network.
- The backend handles execution of tasks, maintains session state, stores documents, and orchestrates workflows.
@@ -606,6 +611,7 @@ Think of Julep as a platform that combines both client-side and server-side comp
- The backend facilitates these integrations, so your agents can, for example, perform web searches, access databases, or call third-party APIs.
In simpler terms:
+
- Julep is a platform for building stateful AI agents.
- You use the SDK (like a toolkit) in your code to define what your agents do.
- The backend service (which you can think of as the engine) runs these definitions, manages state, and handles complexity.
@@ -657,11 +663,13 @@ Tasks in Julep can include various types of steps, allowing you to create comple
#### Common Steps
1. **Prompt**: Send a message to the AI model and receive a response.
+
```yaml
- prompt: "Analyze the following data: {{data}}"
```
2. **Tool Call**: Execute an integrated tool or API.
+
```yaml
- tool: web_search
arguments:
@@ -669,12 +677,14 @@ Tasks in Julep can include various types of steps, allowing you to create comple
```
3. **Evaluate**: Perform calculations or manipulate data.
+
```yaml
- evaluate:
average_score: "sum(scores) / len(scores)"
```
4. **Wait for Input**: Pause workflow until input is received.
+
```yaml
- wait_for_input:
info:
@@ -689,6 +699,7 @@ Tasks in Julep can include various types of steps, allowing you to create comple
#### Key-Value Steps
6. **Get**: Retrieve a value from a key-value store.
+
```yaml
- get: "user_preference"
```
@@ -702,6 +713,7 @@ Tasks in Julep can include various types of steps, allowing you to create comple
#### Iteration Steps
8. **Foreach**: Iterate over a collection and perform steps for each item.
+
```yaml
- foreach:
in: "data_list"
@@ -710,6 +722,7 @@ Tasks in Julep can include various types of steps, allowing you to create comple
```
9. **Map-Reduce**: Map over a collection and reduce the results.
+
```yaml
- map_reduce:
over: "numbers"
@@ -733,6 +746,7 @@ Tasks in Julep can include various types of steps, allowing you to create comple
#### Conditional Steps
11. **If-Else**: Conditional execution of steps.
+
```yaml
- if: "score > 0.8"
then:
@@ -750,7 +764,7 @@ Tasks in Julep can include various types of steps, allowing you to create comple
- case: "category == 'B'"
then:
- log: "Category B processing"
- - case: "_" # Default case
+ - case: "_" # Default case
then:
- log: "Unknown category"
```
@@ -758,18 +772,21 @@ Tasks in Julep can include various types of steps, allowing you to create comple
#### Other Control Flow
13. **Sleep**: Pause the workflow for a specified duration.
+
```yaml
- sleep:
seconds: 30
```
14. **Return**: Return a value from the workflow.
+
```yaml
- return:
result: "Task completed successfully"
```
15. **Yield**: Run a subworkflow and await its completion.
+
```yaml
- yield:
workflow: "data_processing_subflow"
@@ -857,86 +874,86 @@ Julep supports various integrations that extend the capabilities of your AI agen
```yaml
setup:
- api_key: string # The API key for Brave Search
+ api_key: string # The API key for Brave Search
arguments:
- query: string # The search query for searching with Brave
+ query: string # The search query for searching with Brave
output:
- result: string # The result of the Brave Search
+ result: string # The result of the Brave Search
```
### BrowserBase
```yaml
setup:
- api_key: string # The API key for BrowserBase
- project_id: string # The project ID for BrowserBase
- session_id: string # (Optional) The session ID for BrowserBase
+ api_key: string # The API key for BrowserBase
+ project_id: string # The project ID for BrowserBase
+ session_id: string # (Optional) The session ID for BrowserBase
arguments:
- urls: list[string] # The URLs for loading with BrowserBase
+ urls: list[string] # The URLs for loading with BrowserBase
output:
- documents: list # The documents loaded from the URLs
+ documents: list # The documents loaded from the URLs
```
### Email
```yaml
setup:
- host: string # The host of the email server
- port: integer # The port of the email server
- user: string # The username of the email server
- password: string # The password of the email server
+ host: string # The host of the email server
+ port: integer # The port of the email server
+ user: string # The username of the email server
+ password: string # The password of the email server
arguments:
- to: string # The email address to send the email to
- from: string # The email address to send the email from
- subject: string # The subject of the email
- body: string # The body of the email
+ to: string # The email address to send the email to
+ from: string # The email address to send the email from
+ subject: string # The subject of the email
+ body: string # The body of the email
output:
- success: boolean # Whether the email was sent successfully
+ success: boolean # Whether the email was sent successfully
```
### Spider
```yaml
setup:
- spider_api_key: string # The API key for Spider
+ spider_api_key: string # The API key for Spider
arguments:
- url: string # The URL for which to fetch data
- mode: string # The type of crawlers (default: "scrape")
- params: dict # (Optional) The parameters for the Spider API
+ url: string # The URL for which to fetch data
+ mode: string # The type of crawlers (default: "scrape")
+ params: dict # (Optional) The parameters for the Spider API
output:
- documents: list # The documents returned from the spider
+ documents: list # The documents returned from the spider
```
### Weather
```yaml
setup:
- openweathermap_api_key: string # The API key for OpenWeatherMap
+ openweathermap_api_key: string # The API key for OpenWeatherMap
arguments:
- location: string # The location for which to fetch weather data
+ location: string # The location for which to fetch weather data
output:
- result: string # The weather data for the specified location
+ result: string # The weather data for the specified location
```
### Wikipedia
```yaml
arguments:
- query: string # The search query string
- load_max_docs: integer # Maximum number of documents to load (default: 2)
+ query: string # The search query string
+ load_max_docs: integer # Maximum number of documents to load (default: 2)
output:
- documents: list # The documents returned from the Wikipedia search
+ documents: list # The documents returned from the Wikipedia search
```
These integrations can be used within your tasks to extend the capabilities of your AI agents. For more detailed information on how to use these integrations in your workflows, please refer to our [Integrations Documentation](https://docs.julep.ai/integrations).
diff --git a/grafana/docker-compose.yml b/grafana/docker-compose.yml
deleted file mode 100644
index 86723774c..000000000
--- a/grafana/docker-compose.yml
+++ /dev/null
@@ -1,20 +0,0 @@
-name: grafana
-
-services:
- grafana:
- image: grafana/grafana
- environment:
- - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD}
- - GF_SECURITY_ADMIN_USER=${GRAFANA_ADMIN_USER}
- container_name: grafana
- ports:
- - 3000:3000
- volumes:
- - grafana_data:/var/lib/grafana
- - ./provisioning:/etc/grafana/provisioning
- profiles:
- - multi-tenant
-
-volumes:
- grafana_data:
- external: true
diff --git a/monitoring/README.md b/monitoring/README.md
index 9702bf6ff..3366abcd7 100644
--- a/monitoring/README.md
+++ b/monitoring/README.md
@@ -1,41 +1,28 @@
-# TODO: Fix monitoring services
-# SCRUM-25
-
# Compose sample
### Prometheus & Grafana
Project structure:
```
-.
-βββ compose.yaml
+βββ README.md
+βββ docker-compose.yml
βββ grafana
-βΒ Β βββ datasource.yml
-βββ prometheus
-βΒ Β βββ prometheus.yml
-βββ README.md
+β βββ provisioning
+β βββ datasources
+β βββ datasource.yml
+βββ prometheus
+ βββ config
+ βββ prometheus.yml
```
-[_compose.yaml_](compose.yaml)
-```
-services:
- prometheus:
- image: prom/prometheus
- ...
- ports:
- - 9090:9090
- grafana:
- image: grafana/grafana
- ...
- ports:
- - 3000:3000
-```
-The compose file defines a stack with two services `prometheus` and `grafana`.
+The docker compose file defines a stack with two services `prometheus` and `grafana`.
When deploying the stack, docker compose maps port the default ports for each service to the equivalent ports on the host in order to inspect easier the web interface of each service.
Make sure the ports 9090 and 3000 on the host are not already in use.
## Deploy with docker compose
```
+$ docker volume create grafana_data
+$ docker volume create prometheus_data
$ docker compose up -d
Creating network "prometheus-grafana_default" with the default driver
Creating volume "prometheus-grafana_prom_data" with default driver
diff --git a/monitoring/docker-compose.yml b/monitoring/docker-compose.yml
index 51cb60f67..72edabf48 100644
--- a/monitoring/docker-compose.yml
+++ b/monitoring/docker-compose.yml
@@ -1,39 +1,39 @@
name: julep-monitoring
services:
- portainer:
- image: portainer/portainer-ce:latest
- container_name: portainer
- restart: unless-stopped
- ports:
- - "9000:8000"
- - "9443:9443"
- volumes:
- - portainer_data:/data
- - /var/run/docker.sock:/var/run/docker.sock
-
prometheus:
image: prom/prometheus
container_name: prometheus
- command:
- - "--config.file=/etc/prometheus/prometheus.yml"
- restart: unless-stopped
+ profiles:
+ - multi-tenant
+
volumes:
- - ./prometheus:/etc/prometheus
- - prom_data:/prometheus
+ - ./prometheus/config/prometheus.yml:/etc/prometheus/prometheus.yml
+ - prometheus_data:/prometheus
+
+ depends_on:
+ agents-api-multi-tenant:
+ condition: service_started
+
+ command:
+ - '--config.file=/etc/prometheus/prometheus.yml'
grafana:
image: grafana/grafana
+ environment:
+ - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD}
+ - GF_SECURITY_ADMIN_USER=${GRAFANA_ADMIN_USER}
container_name: grafana
ports:
- 3000:3000
- restart: unless-stopped
- environment:
- - GF_SECURITY_ADMIN_USER=admin
- - GF_SECURITY_ADMIN_PASSWORD=${GF_SECURITY_ADMIN_PASSWORD}
volumes:
- - ./grafana:/etc/grafana/provisioning/datasources
+ - grafana_data:/var/lib/grafana
+ - ./grafana/provisioning:/etc/grafana/provisioning
+ profiles:
+ - multi-tenant
volumes:
- prom_data:
- portainer_data:
+ prometheus_data:
+ external: true
+ grafana_data:
+ external: true
diff --git a/monitoring/grafana/datasource.yml b/monitoring/grafana/datasource.yml
deleted file mode 100644
index d7b828686..000000000
--- a/monitoring/grafana/datasource.yml
+++ /dev/null
@@ -1,9 +0,0 @@
-apiVersion: 1
-
-datasources:
-- name: Prometheus
- type: prometheus
- url: http://prometheus:9090
- isDefault: true
- access: proxy
- editable: true
diff --git a/grafana/provisioning/datasources/datasource.yml b/monitoring/grafana/provisioning/datasources/datasource.yml
similarity index 100%
rename from grafana/provisioning/datasources/datasource.yml
rename to monitoring/grafana/provisioning/datasources/datasource.yml
diff --git a/prometheus/config/prometheus.yml b/monitoring/prometheus/config/prometheus.yml
similarity index 100%
rename from prometheus/config/prometheus.yml
rename to monitoring/prometheus/config/prometheus.yml
diff --git a/monitoring/prometheus/prometheus.yml b/monitoring/prometheus/prometheus.yml
deleted file mode 100644
index dec073bbb..000000000
--- a/monitoring/prometheus/prometheus.yml
+++ /dev/null
@@ -1,21 +0,0 @@
-global:
- scrape_interval: 5s
- scrape_timeout: 3s
- evaluation_interval: 5s
-alerting:
- alertmanagers:
- - static_configs:
- - targets: []
- scheme: http
- timeout: 3s
- api_version: v1
-scrape_configs:
- - job_name: traefik
- honor_timestamps: true
- scrape_interval: 5s
- scrape_timeout: 3s
- metrics_path: /metrics
- scheme: http
- static_configs:
- - targets:
- - gateway:8082
diff --git a/prometheus/docker-compose.yml b/prometheus/docker-compose.yml
deleted file mode 100644
index f3c53d966..000000000
--- a/prometheus/docker-compose.yml
+++ /dev/null
@@ -1,23 +0,0 @@
-name: prometheus
-
-services:
- prometheus:
- image: prom/prometheus
- container_name: prometheus
- profiles:
- - multi-tenant
-
- volumes:
- - ./config/prometheus.yml:/etc/prometheus/prometheus.yml
- - prometheus_data:/prometheus
-
- depends_on:
- agents-api-multi-tenant:
- condition: service_started
-
- command:
- - '--config.file=/etc/prometheus/prometheus.yml'
-
-volumes:
- prometheus_data:
- external: true
diff --git a/sdks/node-sdk b/sdks/node-sdk
index 6ff96ce85..6fee6c28d 160000
--- a/sdks/node-sdk
+++ b/sdks/node-sdk
@@ -1 +1 @@
-Subproject commit 6ff96ce8599538291aeb242e6d11650f2c490616
+Subproject commit 6fee6c28ddafc0fae4cab1d821139c02a097e21f
diff --git a/sdks/python-sdk b/sdks/python-sdk
index 3d763379e..0f90b5fce 160000
--- a/sdks/python-sdk
+++ b/sdks/python-sdk
@@ -1 +1 @@
-Subproject commit 3d763379e986b38a9d7f24b99f7f6211f19591a0
+Subproject commit 0f90b5fce974eab9141904d974bc0b0f5e998eab
