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Add OpenAI Function Agents & logging capabilities using aimstack #18

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2 changes: 2 additions & 0 deletions .env.example
Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
AIM_LOGS="<path-to-store-logs-from-aim>"
OPENAI_API_KEY="<Optional: You can set this in the streamlit UI>"
40 changes: 33 additions & 7 deletions agents/l4m_agent.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,20 +12,46 @@ def base_agent(
llm: LLM object
tools: List of tools to use by the agent
"""
# chat_history = MessagesPlaceholder(variable_name="chat_history")
# memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
chat_history = MessagesPlaceholder(variable_name="chat_history")
memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
agent = initialize_agent(
llm=llm,
tools=tools,
agent=agent_type,
max_iterations=5,
early_stopping_method="generate",
verbose=True,
# memory=memory,
# agent_kwargs={
# "memory_prompts": [chat_history],
# "input_variables": ["input", "agent_scratchpad", "chat_history"],
# },
memory=memory,
agent_kwargs={
"memory_prompts": [chat_history],
"input_variables": ["input", "agent_scratchpad", "chat_history"],
},
)
print("agent initialized")
return agent


def openai_function_agent(llm, tools, agent_type=AgentType.OPENAI_FUNCTIONS):
"""OpenAI function agent that is fine-tuned to call functions with valid arguments.

llm: LLM object
tools: List of tools to use by the agent
"""
agent_kwargs = {
"extra_prompt_messages": [MessagesPlaceholder(variable_name="memory")],
}
memory = ConversationBufferMemory(memory_key="memory", return_messages=True)

agent = initialize_agent(
tools=tools,
llm=llm,
agent=agent_type,
max_iterations=5,
early_stopping_method="generate",
verbose=True,
# TODO: Fix this, cannot handle dataframes or geojsons as memory
# agent_kwargs=agent_kwargs,
# memory=memory,
)
print("OpenAI function agent initialized")
return agent
110 changes: 67 additions & 43 deletions app.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import os
from dotenv import load_dotenv

import rasterio as rio
import folium
Expand All @@ -17,20 +18,23 @@

from tools.mercantile_tool import MercantileTool
from tools.geopy.geocode import GeopyGeocodeTool
from tools.geopy.distance import GeopyDistanceTool

# from tools.geopy.distance import GeopyDistanceTool
from tools.osmnx.geometry import OSMnxGeometryTool
from tools.osmnx.network import OSMnxNetworkTool
from tools.stac.search import STACSearchTool
from agents.l4m_agent import base_agent
from agents.l4m_agent import base_agent, openai_function_agent

# DEBUG
# # DEBUG
langchain.debug = True
# langchain.verbose = True

# Load environment variables
load_dotenv()


@st.cache_resource(ttl="1h")
def get_agent(
openai_api_key, agent_type=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION
):
def get_agent(openai_api_key):
llm = ChatOpenAI(
temperature=0,
openai_api_key=openai_api_key,
Expand All @@ -44,7 +48,7 @@ def get_agent(
func=DuckDuckGoSearchRun().run,
)
geocode_tool = GeopyGeocodeTool()
distance_tool = GeopyDistanceTool()
# distance_tool = GeopyDistanceTool()
mercantile_tool = MercantileTool()
geometry_tool = OSMnxGeometryTool()
network_tool = OSMnxNetworkTool()
Expand All @@ -53,44 +57,44 @@ def get_agent(
tools = [
duckduckgo_tool,
geocode_tool,
distance_tool,
# distance_tool,
mercantile_tool,
geometry_tool,
network_tool,
search_tool,
]

agent = base_agent(llm, tools, agent_type=agent_type)
agent = openai_function_agent(llm, tools)
# agent = base_agent(llm, tools)
return agent


def run_query(agent, query):
return response


def plot_raster(items):
st.subheader("Preview of the first item sorted by cloud cover")
selected_item = min(items, key=lambda item: item.properties["eo:cloud_cover"])
href = selected_item.assets["rendered_preview"].href
# arr = rio.open(href).read()
arr = rio.open(href).read()

# m = folium.Map(location=[28.6, 77.7], zoom_start=6)

# img = folium.raster_layers.ImageOverlay(
# name="Sentinel 2",
# image=arr.transpose(1, 2, 0),
# bounds=selected_item.bbox,
# opacity=0.9,
# interactive=True,
# cross_origin=False,
# zindex=1,
# )
lon_min, lat_min, lon_max, lat_max = selected_item.bbox
bbox = [[lat_min, lon_min], [lat_max, lon_max]]
m = folium.Map(
location=[(lat_min + lat_max) / 2, (lon_min + lon_max) / 2], zoom_start=8
)
img = folium.raster_layers.ImageOverlay(
name="Sentinel 2",
image=arr.transpose(1, 2, 0),
bounds=bbox,
opacity=0.9,
interactive=True,
cross_origin=False,
zindex=1,
)

# img.add_to(m)
# folium.LayerControl().add_to(m)
img.add_to(m)
folium.LayerControl().add_to(m)

# folium_static(m)
st.image(href)
folium_static(m)
# st.image(href)


def plot_vector(df):
Expand All @@ -102,7 +106,11 @@ def plot_vector(df):


st.set_page_config(page_title="LLLLM", page_icon="🤖", layout="wide")
st.subheader("🤖 I am Geo LLM Agent!")
st.markdown("🤖 I am Geo LLM Agent!")
st.caption(
"I have access to tools like :blue[STAC Search, OSM API, Geocode & Mercantile]. Feel free to ask me questions like - :orange[_lat,lng_ of a place, _parks/hospitals_ in a city, _walkable streets_ in a city or _satellite image_ on a particular date.]"
)


if "msgs" not in st.session_state:
st.session_state.msgs = []
Expand All @@ -123,8 +131,11 @@ def plot_vector(df):
openai_api_key = os.getenv("OPENAI_API_KEY")
if not openai_api_key:
openai_api_key = st.text_input("OpenAI API Key", type="password")
st.info(
"You can find your API key [here](https://platform.openai.com/account/api-keys)"
)

st.subheader("OpenAI Usage")
st.subheader("OpenAI Usage this Session")
total_tokens = st.empty()
prompt_tokens = st.empty()
completion_tokens = st.empty()
Expand Down Expand Up @@ -153,15 +164,18 @@ def plot_vector(df):
st.stop()

aim_callback = AimCallbackHandler(
repo=".",
experiment_name="LLLLLM: Base Agent v0.1",
repo=os.getenv("AIM_LOGS", "."),
experiment_name="LLLLLM: OpenAI function agent v0.3",
)

agent = get_agent(openai_api_key)

with get_openai_callback() as cb:
st_callback = StreamlitCallbackHandler(st.container())
response = agent.run(prompt, callbacks=[st_callback, aim_callback])
response = agent.run(
prompt,
callbacks=[st_callback, aim_callback],
)

aim_callback.flush_tracker(langchain_asset=agent, reset=False, finish=True)

Expand All @@ -180,6 +194,8 @@ def plot_vector(df):
total_cost.write(f"Total Cost (USD): ${st.session_state.total_cost:,.4f}")

with st.chat_message(name="assistant", avatar="🤖"):
print(type(response))
print(response)
if type(response) == str:
content = response
st.markdown(response)
Expand All @@ -188,20 +204,28 @@ def plot_vector(df):

match tool:
case "stac-search":
content = f"Found {len(result)} items from the catalog."
st.markdown(content)
if len(result) > 0:
if len(result) == 0:
content = "No items found."
else:
content = f"Found {len(result)} items from the catalog."
plot_raster(result)
st.markdown(content)
case "geometry":
content = f"Found {len(result)} geometries."
gdf = result
if type(result) is str or len(result) == 0:
content = "No geometries found."
else:
content = f"Found {len(result)} geometries."
gdf = result
plot_vector(gdf)
st.markdown(content)
plot_vector(gdf)
case "network":
content = f"Found {len(result)} network geometries."
ndf = result
if type(result) is str or len(result) == 0:
content = "No network geometries found."
else:
content = f"Found {len(result)} network geometries."
ndf = result
plot_vector(ndf)
st.markdown(content)
plot_vector(ndf)
case _:
content = response
st.markdown(content)
Expand Down
26 changes: 18 additions & 8 deletions tools/osmnx/geometry.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
from typing import Type, Dict
from typing import Type, Dict, Union

import osmnx as ox
import geopandas as gpd
Expand All @@ -10,23 +10,33 @@ class PlaceWithTags(BaseModel):
"Name of a place on the map and tags in OSM."

place: str = Field(..., description="name of a place on the map.")
tags: Dict[str, str] = Field(..., description="open street maps tags.")
tags: Dict[str, str] = Field(
...,
description="open street maps tags as dict",
)


class OSMnxGeometryTool(BaseTool):
"""Tool to query geometries from Open Street Map (OSM)."""

name: str = "geometry"
args_schema: Type[BaseModel] = PlaceWithTags
description: str = "Use this tool to get geometry of different features of the place like building footprints, parks, lakes, hospitals, schools etc. \
Pass the name of the place & tags of OSM as args."
description: str = """Use this tool to get geometry of different features of the place like building footprints, parks, lakes, hospitals, schools etc. \
Pass the name of the place & tags of OSM as args.

Example tags: {'building': 'yes'} or {'leisure': 'park'} or {'amenity': 'hospital'} or {'amenity': 'school'} etc.
"""
return_direct = True

def _run(self, place: str, tags: Dict[str, str]) -> gpd.GeoDataFrame:
gdf = ox.geometries_from_place(place, tags)
gdf = gdf[gdf["geometry"].type.isin({"Polygon", "MultiPolygon"})]
gdf = gdf[["name", "geometry"]].reset_index(drop=True)
return ("geometry", gdf)
try:
gdf = ox.geometries_from_place(place, tags)
gdf = gdf[gdf["geometry"].type.isin({"Polygon", "MultiPolygon"})]
gdf = gdf[["name", "geometry"]].reset_index(drop=True)
response = ("geometry", gdf)
except Exception as e:
response = ("geometry", f"Error in parsing: {(place, tags)}")
return response

def _arun(self, place: str):
raise NotImplementedError
12 changes: 8 additions & 4 deletions tools/osmnx/network.py
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,14 @@ class OSMnxNetworkTool(BaseTool):
return_direct = True

def _run(self, place: str, network_type: str) -> gpd.GeoDataFrame:
G = ox.graph_from_place(place, network_type=network_type, simplify=True)
network = utils_graph.graph_to_gdfs(G, nodes=False)
network = network[["name", "geometry"]].reset_index(drop=True)
return ("network", network)
try:
G = ox.graph_from_place(place, network_type=network_type, simplify=True)
network = utils_graph.graph_to_gdfs(G, nodes=False)
network = network[["name", "geometry"]].reset_index(drop=True)
response = ("network", network)
except Exception as e:
response = ("network", f"Error in parsing: {(place, network_type)}")
return response

def _arun(self, place: str):
raise NotImplementedError
2 changes: 1 addition & 1 deletion tools/stac/search.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ class PlaceWithDatetimeAndBBox(BaseModel):
"Name of a place and date."

bbox: str = Field(..., description="bbox of the place")
datetime: str = Field(..., description="datetime for the stac catalog search")
datetime: str = Field(..., description="only date for the stac catalog search")


class STACSearchTool(BaseTool):
Expand Down