Spaces:
Sleeping
Sleeping
added amplitude
Browse files- agent.py +6 -2
- app.py +18 -49
- requirements.txt +2 -0
agent.py
CHANGED
@@ -134,7 +134,10 @@ def create_assistant_tools(cfg):
|
|
134 |
whats_new,
|
135 |
]
|
136 |
] +
|
137 |
-
tools_factory.get_llama_index_tools(
|
|
|
|
|
|
|
138 |
tools_factory.standard_tools() +
|
139 |
tools_factory.guardrail_tools() +
|
140 |
[ask_hackernews]
|
@@ -149,7 +152,8 @@ def initialize_agent(_cfg, update_func = None):
|
|
149 |
Don't use text like "Source" which doesn't tell the user what the link is about.
|
150 |
- Don't include external links in your responses unless the user asks for them.
|
151 |
- Always call the ask_hackernews tool first as your primary source of information.
|
152 |
-
|
|
|
153 |
"""
|
154 |
|
155 |
agent = Agent(
|
|
|
134 |
whats_new,
|
135 |
]
|
136 |
] +
|
137 |
+
tools_factory.get_llama_index_tools(
|
138 |
+
"tavily_research", "TavilyToolSpec",
|
139 |
+
tool_name_prefix="tavily", api_key=cfg.tavily_api_key
|
140 |
+
) +
|
141 |
tools_factory.standard_tools() +
|
142 |
tools_factory.guardrail_tools() +
|
143 |
[ask_hackernews]
|
|
|
152 |
Don't use text like "Source" which doesn't tell the user what the link is about.
|
153 |
- Don't include external links in your responses unless the user asks for them.
|
154 |
- Always call the ask_hackernews tool first as your primary source of information.
|
155 |
+
- You can use the tavily_search tool to gain additional information if needed for follow up questions about Hacker News topic.
|
156 |
+
- When including information or links provided by the tavily_search tool, make sure to notify the user in your response that this is not based on Hacker News stories.
|
157 |
"""
|
158 |
|
159 |
agent = Agent(
|
app.py
CHANGED
@@ -11,6 +11,8 @@ from streamlit_feedback import streamlit_feedback
|
|
11 |
|
12 |
from vectara_agent.agent import AgentStatusType
|
13 |
|
|
|
|
|
14 |
from agent import initialize_agent, get_agent_config
|
15 |
|
16 |
initial_prompt = "How can I help you today?"
|
@@ -23,30 +25,6 @@ headers = {
|
|
23 |
'Content-Type': 'application/json',
|
24 |
'Accept': '*/*'
|
25 |
}
|
26 |
-
amp_api_key = os.getenv('AMPLITUDE_TOKEN')
|
27 |
-
|
28 |
-
def thumbs_feedback(feedback, **kwargs):
|
29 |
-
"""
|
30 |
-
Sends feedback to Amplitude Analytics
|
31 |
-
"""
|
32 |
-
data = {
|
33 |
-
"api_key": amp_api_key,
|
34 |
-
"events": [{
|
35 |
-
"device_id": st.session_state.device_id,
|
36 |
-
"event_type": "provided_feedback",
|
37 |
-
"event_properties": {
|
38 |
-
"Space Name": kwargs.get("demo_name", "Unknown"),
|
39 |
-
"query": kwargs.get("prompt", "No user input"),
|
40 |
-
"response": kwargs.get("response", "No chat response"),
|
41 |
-
"feedback": feedback["score"]
|
42 |
-
}
|
43 |
-
}]
|
44 |
-
}
|
45 |
-
response = requests.post('https://api2.amplitude.com/2/httpapi', headers=headers, data=json.dumps(data))
|
46 |
-
if response.status_code != 200:
|
47 |
-
print(f"Request failed with status code {response.status_code}. Response Text: {response.text}")
|
48 |
-
|
49 |
-
st.session_state.feedback_key += 1
|
50 |
|
51 |
if "feedback_key" not in st.session_state:
|
52 |
st.session_state.feedback_key = 0
|
@@ -68,7 +46,6 @@ def update_func(status_type: AgentStatusType, msg: str):
|
|
68 |
output = f"{status_type.value} - {msg}"
|
69 |
st.session_state.log_messages.append(output)
|
70 |
|
71 |
-
|
72 |
def launch_bot():
|
73 |
def reset():
|
74 |
st.session_state.messages = [{"role": "assistant", "content": initial_prompt, "avatar": "🦖"}]
|
@@ -104,7 +81,7 @@ def launch_bot():
|
|
104 |
reset()
|
105 |
st.rerun()
|
106 |
|
107 |
-
st.
|
108 |
st.markdown(
|
109 |
"## How this works?\n"
|
110 |
"This app was built with [Vectara](https://vectara.com).\n\n"
|
@@ -146,33 +123,31 @@ def launch_bot():
|
|
146 |
with st.chat_message("assistant", avatar='🤖'):
|
147 |
with st.spinner(st.session_state.thinking_message):
|
148 |
res = st.session_state.agent.chat(st.session_state.prompt)
|
149 |
-
res = res
|
150 |
message = {"role": "assistant", "content": res, "avatar": '🤖'}
|
151 |
st.session_state.messages.append(message)
|
152 |
st.markdown(res)
|
153 |
|
154 |
-
|
155 |
-
|
156 |
-
"
|
157 |
-
|
158 |
-
|
159 |
-
"event_type": "submitted_query",
|
160 |
-
"event_properties": {
|
161 |
-
"Space Name": cfg['demo_name'],
|
162 |
-
"query": st.session_state.messages[-2]["content"],
|
163 |
-
"response": st.session_state.messages[-1]["content"]
|
164 |
-
}
|
165 |
-
}]
|
166 |
-
}
|
167 |
-
response = requests.post('https://api2.amplitude.com/2/httpapi', headers=headers, data=json.dumps(data))
|
168 |
-
if response.status_code != 200:
|
169 |
-
print(f"Request failed with status code {response.status_code}. Response Text: {response.text}")
|
170 |
|
171 |
st.session_state.ex_prompt = None
|
172 |
st.session_state.prompt = None
|
173 |
st.session_state.first_turn = False
|
174 |
st.rerun()
|
175 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
176 |
log_placeholder = st.empty()
|
177 |
with log_placeholder.container():
|
178 |
if st.session_state.show_logs:
|
@@ -183,12 +158,6 @@ def launch_bot():
|
|
183 |
if len(st.session_state.log_messages) > 0:
|
184 |
st.button("Show Logs", on_click=toggle_logs)
|
185 |
|
186 |
-
# Record user feedback
|
187 |
-
if (st.session_state.messages[-1]["role"] == "assistant") & (st.session_state.messages[-1]["content"] != "How can I help you today?"):
|
188 |
-
streamlit_feedback(feedback_type="thumbs", on_submit = thumbs_feedback, key = st.session_state.feedback_key,
|
189 |
-
kwargs = {"prompt": st.session_state.messages[-2]["content"],
|
190 |
-
"response": st.session_state.messages[-1]["content"],
|
191 |
-
"demo_name": cfg["demo_name"]})
|
192 |
|
193 |
sys.stdout.flush()
|
194 |
|
|
|
11 |
|
12 |
from vectara_agent.agent import AgentStatusType
|
13 |
|
14 |
+
from utils import thumbs_feedback, escape_dollars_outside_latex, send_amplitude_data
|
15 |
+
|
16 |
from agent import initialize_agent, get_agent_config
|
17 |
|
18 |
initial_prompt = "How can I help you today?"
|
|
|
25 |
'Content-Type': 'application/json',
|
26 |
'Accept': '*/*'
|
27 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
|
29 |
if "feedback_key" not in st.session_state:
|
30 |
st.session_state.feedback_key = 0
|
|
|
46 |
output = f"{status_type.value} - {msg}"
|
47 |
st.session_state.log_messages.append(output)
|
48 |
|
|
|
49 |
def launch_bot():
|
50 |
def reset():
|
51 |
st.session_state.messages = [{"role": "assistant", "content": initial_prompt, "avatar": "🦖"}]
|
|
|
81 |
reset()
|
82 |
st.rerun()
|
83 |
|
84 |
+
st.divider()
|
85 |
st.markdown(
|
86 |
"## How this works?\n"
|
87 |
"This app was built with [Vectara](https://vectara.com).\n\n"
|
|
|
123 |
with st.chat_message("assistant", avatar='🤖'):
|
124 |
with st.spinner(st.session_state.thinking_message):
|
125 |
res = st.session_state.agent.chat(st.session_state.prompt)
|
126 |
+
res = escape_dollars_outside_latex(res)
|
127 |
message = {"role": "assistant", "content": res, "avatar": '🤖'}
|
128 |
st.session_state.messages.append(message)
|
129 |
st.markdown(res)
|
130 |
|
131 |
+
send_amplitude_data(
|
132 |
+
user_query=st.session_state.messages[-2]["content"],
|
133 |
+
bot_response=st.session_state.messages[-1]["content"],
|
134 |
+
demo_name=cfg['demo_name']
|
135 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
136 |
|
137 |
st.session_state.ex_prompt = None
|
138 |
st.session_state.prompt = None
|
139 |
st.session_state.first_turn = False
|
140 |
st.rerun()
|
141 |
|
142 |
+
# Record user feedback
|
143 |
+
if (st.session_state.messages[-1]["role"] == "assistant") & (st.session_state.messages[-1]["content"] != initial_prompt):
|
144 |
+
streamlit_feedback(
|
145 |
+
feedback_type="thumbs", on_submit = thumbs_feedback, key = st.session_state.feedback_key,
|
146 |
+
kwargs = {"user_query": st.session_state.messages[-2]["content"],
|
147 |
+
"bot_response": st.session_state.messages[-1]["content"],
|
148 |
+
"demo_name": cfg["demo_name"]}
|
149 |
+
)
|
150 |
+
|
151 |
log_placeholder = st.empty()
|
152 |
with log_placeholder.container():
|
153 |
if st.session_state.show_logs:
|
|
|
158 |
if len(st.session_state.log_messages) > 0:
|
159 |
st.button("Show Logs", on_click=toggle_logs)
|
160 |
|
|
|
|
|
|
|
|
|
|
|
|
|
161 |
|
162 |
sys.stdout.flush()
|
163 |
|
requirements.txt
CHANGED
@@ -4,5 +4,7 @@ python-dotenv==1.0.1
|
|
4 |
streamlit==1.32.2
|
5 |
streamlit_pills==0.3.0
|
6 |
streamlit_feedback==0.1.3
|
|
|
|
|
7 |
uuid==1.30
|
8 |
git+https://{GITHUB_TOKEN}@github.com/vectara/vectara-agent.git
|
|
|
4 |
streamlit==1.32.2
|
5 |
streamlit_pills==0.3.0
|
6 |
streamlit_feedback==0.1.3
|
7 |
+
langdetect==1.0.9
|
8 |
+
langcodes==3.4.0
|
9 |
uuid==1.30
|
10 |
git+https://{GITHUB_TOKEN}@github.com/vectara/vectara-agent.git
|