forked from i-am-bee/beeai-framework
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathchat_stream_verbose.py
More file actions
56 lines (43 loc) · 1.77 KB
/
Copy pathchat_stream_verbose.py
File metadata and controls
56 lines (43 loc) · 1.77 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
import asyncio
import sys
import traceback
from beeai_framework.adapters.ollama import OllamaChatModel
from beeai_framework.backend import (
ChatModelErrorEvent,
ChatModelNewTokenEvent,
ChatModelStartEvent,
ChatModelSuccessEvent,
UserMessage,
)
from beeai_framework.emitter import EventMeta
from beeai_framework.errors import FrameworkError
from examples.helpers.io import ConsoleReader
async def main() -> None:
llm = OllamaChatModel("llama3.1")
llm.parameters.temperature = 1
reader = ConsoleReader()
for prompt in reader:
def on_start(data: ChatModelStartEvent, meta: EventMeta) -> None:
reader.write("LLM 🤖 (start)", str(data.input.model_dump()))
def on_error(data: ChatModelErrorEvent, meta: EventMeta) -> None:
reader.write("LLM 🤖 (error)", str(data.error.explain()))
def on_new_token(data: ChatModelNewTokenEvent, meta: EventMeta) -> None:
reader.write("LLM 🤖 (new_token)", data.value.get_text_content())
def on_success(data: ChatModelSuccessEvent, meta: EventMeta) -> None:
reader.write("LLM 🤖 (success)", data.value.get_text_content())
if data.value.usage:
reader.write("LLM 🤖 (usage)", str(data.value.usage.model_dump()))
response = (
await llm.create(messages=[UserMessage(prompt)], stream=True)
.on("start", on_start)
.on("error", on_error)
.on("success", on_success)
.on("new_token", on_new_token)
)
reader.write("ℹ️", f"Received {len(response.messages)} chunks.") # noqa: RUF001
if __name__ == "__main__":
try:
asyncio.run(main())
except FrameworkError as e:
traceback.print_exc()
sys.exit(e.explain())