prompt work

This commit is contained in:
2026-04-19 08:00:08 +02:00
parent 6cda9ceddb
commit 369ff69c8c

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@@ -5,6 +5,7 @@
# source venv/bin/activate
from datetime import timedelta
from typing import TypedDict, List
from urllib import response
#from asyncio import tools
@@ -60,6 +61,7 @@ class HTMLCrawler(HTMLParser):
# Configuration
LLM_BASE_URL = "http://192.168.50.215:11434"
MODEL_NAME = "qwen3:8b"
#MODEL_NAME = "gpt-oss:20b"
LINKDING_API_URL = "https://linkding.hal.se/api/bookmarks/"
LINKDING_API_TOKEN = "fa54dee2ccbcad80a0c6259bdbbed896581e1423"
@@ -72,6 +74,14 @@ def todays_date() -> str:
from datetime import datetime
return datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ")
@tool
def calculate_date(dat: str, days: int) -> str:
"""Use this tool whenever you need to calculate the date in ISO 8601 format given a date and the number of days to deduce from that date."""
from datetime import datetime
date1 = datetime.strptime(dat, "%Y-%m-%dT%H:%M:%SZ")
date2 = date1 - timedelta(days=days)
return date2.strftime("%Y-%m-%dT%H:%M:%SZ")
@tool
def crawl_homepage(url:str) -> str:
"""Use this tool whenever you need to read the content of a home page on the internet.
@@ -80,7 +90,7 @@ def crawl_homepage(url:str) -> str:
url: home page url to crawl
Returns:
Formatted test from homepage
Formatted text from homepage
"""
htmlParser = HTMLCrawler()
try:
@@ -156,7 +166,23 @@ def add_tag_to_bookmark(bookmark_id: int, tag: str) -> str:
except requests.exceptions.RequestException as e:
return f"Error occurred while adding tag: {e}"
@tool
def write_to_file(filename: str, content: str) -> str:
"""Use this tool whenever you need to write content to a file.
Args:
filename: The name of the file to which the content should be written.
content: The content to write to the file.
Returns:
A message indicating whether the content was successfully written or if an error occurred.
"""
try:
with open(filename, 'a') as f:
f.write(content)
return f"Content successfully written to {filename}."
except Exception as e:
return f"Error occurred while writing to file: {e}"
# ----- Shared State -----
class AgentState(TypedDict):
@@ -165,20 +191,41 @@ class AgentState(TypedDict):
# ----- Agent Nodes -----
def agent_node(state: AgentState):
"""This is the main agent node that processes messages and decides when to call tools."""
llm_with_tools = llm.bind_tools([add_tag_to_bookmark, fetch_bookmarks, crawl_homepage, todays_date])
llm_with_tools = llm.bind_tools([add_tag_to_bookmark, fetch_bookmarks, crawl_homepage, todays_date, calculate_date, write_to_file])
system_prompt = SystemMessage(f"""
You are a research agent with web search capabilities.
INSTRUCTIONS:
1. **MUST use web_search tool** first to gather information
2. Provide comprehensive research based on search results
Always call **web_search** before responding.
You are a bookmark processing agent. You have these tools:
1. **todays_date**: Get today's date
2. **calculate_date**: Calculate a past date
3. **fetch_bookmarks**: Get bookmarks added since a date
4. **crawl_homepage**: Read website content
5. **write_to_file**: Write content to ~/bookmark_summaries.md
6. **add_tag_to_bookmark**: Add tags to bookmarks
YOUR TASK - FOLLOW THIS EXACTLY:
PHASE 1: Get bookmarks
- Call todays_date to get current date
- Call calculate_date to get the date 28 days ago
- Call fetch_bookmarks with that date to get all bookmarks
If No bookmarks found, stop here. Otherwise, move to PHASE 2.
PHASE 2: Process EACH bookmark (do NOT skip any):
For each bookmark from fetch_bookmarks:
Step A: Call crawl_homepage with the bookmark URL
Step B: IMMEDIATELY call write_to_file to write: [URL] | [DESCRIPTION] | [CRAWLED CONTENT SUMMARY OF MAX 100 WORDS]
Step C: IMMEDIATELY call add_tag_to_bookmark with the bookmark ID and 1-2 relevant tags
Step D: ONLY THEN move to the next bookmark
CRITICAL RULES:
- NEVER respond with text - ONLY call tools
- Process ALL bookmarks before finishing
- For each bookmark, MUST call: crawl_homepage, write_to_file, add_tag_to_bookmark (IN THAT ORDER)
- Do not stop until all bookmarks have all three tools called
""")
human_prompt = HumanMessage("What are the latest bookmarks added to my Linkding?")
messages = [system_prompt, human_prompt]
messages = [system_prompt] + state['messages']
response = llm_with_tools.invoke(messages)
@@ -207,7 +254,7 @@ def create_agent():
builder = StateGraph(AgentState)
builder.add_node("agent", agent_node)
builder.add_node("tools", ToolNode([add_tag_to_bookmark, fetch_bookmarks, crawl_homepage, todays_date]))
builder.add_node("tools", ToolNode([add_tag_to_bookmark, fetch_bookmarks, crawl_homepage, todays_date, calculate_date, write_to_file]))
builder.set_entry_point("agent")
builder.add_conditional_edges("agent", should_continue, ["tools", END])
@@ -219,23 +266,38 @@ def create_agent():
return graph
agent = create_agent()
result = agent.invoke({})
print(result['messages'])
print(result['messages'][-1].content)
human_prompt = HumanMessage("Process all bookmarks from the last 14 days: fetch them, summarize their content, write summaries to a file, and add relevant tags.")
result = agent.invoke({'messages': [human_prompt]})
#print(result['messages'])
#print(result['messages'][-1].content)
"""
result = fetch_bookmarks.invoke({})
print(result)
result = fetch_bookmarks.invoke({'date_added': "2026-04-09T20:26:31Z"})
print(result)
result = crawl_homepage.invoke({'url': "http://example.com"})
print(result)
result = todays_date.invoke({})
print(result)
result = add_tag_to_bookmark.invoke({'bookmark_id': 123, 'tag': 'newtag'})
#result = add_tag_to_bookmark.invoke({'bookmark_id': 123, 'tag': 'newtag'})
#print(result)
#result = add_tag_to_bookmark.invoke({'bookmark_id': 4, 'tag': 'another_tag'})
#print(result)
result = calculate_date.invoke({'dat': "2026-03-01T00:00:00Z", 'days': 3})
print(result)
result = add_tag_to_bookmark.invoke({'bookmark_id': 4, 'tag': 'another_tag'})
print(result)
result = write_to_file.invoke({'filename': 'test.txt', 'content': 'This is a test.'})
print(result)
"""