Author SHA1 Message Date
armistace e8040e2ba8 unleash client 2025-09-17 09:25:55 +10:00
armistace f2b95935bb Prompt enhancement to produce content
Create Blog Article if new notes exist / prepare_blog_drafts_and_push (push) Successful in 5m14s
2025-06-24 13:05:15 +10:00
armistace bce439921f Generate tags around context
Create Blog Article if new notes exist / prepare_blog_drafts_and_push (push) Successful in 22m46s
2025-06-16 10:35:21 +10:00
armistace 2de2d0fe3a Merge pull request 'prompt enhancement' (#16) from prompt_fix into master
Create Blog Article if new notes exist / prepare_blog_drafts_and_push (push) Successful in 11m44s
Reviewed-on: #16
2025-06-06 12:04:44 +10:00
3 changed files with 18 additions and 3 deletions
+1
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@@ -6,3 +6,4 @@ chromadb
langchain-ollama
PyJWT
dotenv
UnleashClient
+4 -3
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@@ -33,7 +33,7 @@ class OllamaGenerator:
The title for the blog is {self.inner_title}.
Do not output the title in the markdown.
The basis for the content of the blog is:
{self.content}
<blog>{self.content}</blog>
"""
def split_into_chunks(self, text, chunk_size=100):
@@ -127,10 +127,11 @@ class OllamaGenerator:
you are more professional and will attempt to tone these down
As this person produce the final version of this blog as a markdown document
keeping in mind the context provided by the previous drafts.
You are to produce the content not placeholders for further editors
The title for the blog is {self.inner_title}.
Do not output the title in the markdown. Avoid repeated sentences
The basis for the content of the blog is:
{self.content}
<blog>{self.content}</blog>
"""
try:
query_embed = self.ollama_client.embed(model=self.embed_model, input=prompt_system)['embeddings']
@@ -139,7 +140,7 @@ class OllamaGenerator:
print("Showing pertinent info from drafts used in final edited edition")
pertinent_draft_info = '\n\n'.join(collection.query(query_embeddings=query_embed, n_results=100)['documents'][0])
#print(pertinent_draft_info)
prompt_human = f"""Generate the final, 3000 word, draft of the blog using this information from the drafts: {pertinent_draft_info}
prompt_human = f"""Generate the final, 3000 word, draft of the blog using this information from the drafts: <context>{pertinent_draft_info}</context>
- Only output in markdown, do not wrap in markdown tags, Only provide the draft not a commentary on the drafts in the context
"""
print("Generating final document")
+13
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@@ -0,0 +1,13 @@
from UnleashClient import UnleashClient
import asyncio
client = UnleashClient(
url="http://192.168.178.160:30007/api/",
app_name="unleash-onboarding-python",
custom_headers={'Authorization': 'default:development.6uQIie4GdslTxgYAWVu35sRBjjBMPRRKw6vBj6mFsgFfvdXuy73GgLQg'}) # in production use environment variable
client.initialize_client()
while True:
print(client.is_enabled("crew_ai_integration"))
asyncio.run(asyncio.sleep(1))