{
    "query": "Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context",
    "namespace": "4c8bf5a0-c42c-41f9-a328-987e8bbcc9f3",
    "messages": [],
    "stream": false,
    "language_level": "",
    "chat_channel": "",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 0,
    "client_id": 0,
    "all_context": true,
    "follow_up_for": null,
    "knowledgebase_files_count": 0,
    "override_command": "",
    "disable_clarity_check": true,
    "custom_primer": "",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context
Model: gemini-1.5-flash
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: summary
**Elapsed Time: 2.10 seconds**
RAG PARAMETERS
Max Context To Include: 120
Lowest Score to Consider: 0
==================================================
**Elapsed Time: 0.00 seconds**
==================================================


VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: True
Use Similarity search?: False
==================================================
**Elapsed Time: 0.10 seconds**
==================================================


VECTOR SEARCH DONE 
==================================================
**Elapsed Time: 1.27 seconds**
==================================================


PRIMER 
Primer: 
            You are Simon, a highly intelligent personal assistant in a system called KIOS. You are a chatbot that
            can read knowledgebases through the "CONTEXT" that is included in the user's chat message.
            In the "CONTEXT", prioritize information from data tagged "FEEDBACK:".

        
            Your role is to act as an expert at summarization and analysis.

            In your responses to enterprise users, prioritize clarity, trustworthiness, and appropriate formality.

            Be honest by admitting when a topic falls outside your scope of knowledge, and suggest
            alternative avenues for obtaining information when necessary.

            Make effective use of chat history to avoid redundancy and enhance response relevance, continuously
            adapting to integrate all necessary details in your interactions.

            Use as much tokens as possible to provide a detailed response.
        
**Elapsed Time: 0.18 seconds**
FINAL QUERY 
Final Query: CONTEXT: ##########
File: tutorspace-vercel-app-register-58446.txt

Page: 1

Context: Alena - dein Mathe-Abi-Coach 

✅ Unbegrenzt Aufgaben generieren

✅ Kennt dein Bundesland

✅ Gratis Zugang zum nächsten Update

---

 Mathe-Abi bestehen oder Geld zurück. Garantiert.\* 

---

Gesamt

EUR 98,00 € 

 Letzter Schritt, bevor du mit Alena richtig loslegen kannst! 

Deine E-Mail-Adresse

Deine E-Mail-Adresse

Passwort

Passwort

Passwort bestätigen

Passwort bestätigen

 Zahlungsmethode 

Bezahlen

 Hinweis: Sollte die SEPA-Lastschrift-Zahlungsmethode gewählt werden, kann es 5-6 Werktage dauern bis wir die Zahlung erhalten und der Zugang zu Alena funktioniert 

 Durch das Klicken auf den Kaufen Button erkläre ich mich mit den [AGBs](https://lerne-mit-alena.de/agb/) und der [Datenschutzerklärung](https://tutorspace.de/datenschutz) einverstanden und die [Widerrufsbelehrung](https://tutorspace.de/nutzungsbedingungen) habe ich zur Kenntnis genommen. 

 Alena - dein Mathe-Abi-Coach 

✅ Unbegrenzt Aufgaben generieren

✅ Kennt dein Bundesland

 ✅ Gratis Zugang zum nächsten Update 

---

 Mathe-Abi bestehen oder Geld zurück. Garantiert.\* 

---

Gesamt

EUR 98,00 € 

 Bekannt aus
####################
File: tutorspace-vercel-app-forget-password-58448.txt

Page: 1

Context: [Einloggen](/login)[Registrieren](/register)

# Passwort vergessen

Passwort-Link senden
####################
File: tutorspace-vercel-app-login-58447.txt

Page: 1

Context: [Einloggen](/login)[Registrieren](/register)

# Einloggen

 Angemeldet bleiben 

[Passwort vergessen?](/forget-password)

Login
####################
File: tutorspace-vercel-app-58445.txt

Page: 1

Context: [Einloggen](/login)[Registrieren](/register)

# Einloggen

 Angemeldet bleiben 

[Passwort vergessen?](/forget-password)

Login
##########

"""QUERY: Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context"""

Consider the chat history for relevant information. Use all information included. If query is already asked in the history double check the correctness of your answer and maybe correct your previous mistake. Use as much tokens as needed but at the same time be as efficient as possible.
Final Files Sources: tutorspace-vercel-app-register-58446.txt - Page 1, tutorspace-vercel-app-forget-password-58448.txt - Page 1, tutorspace-vercel-app-login-58447.txt - Page 1, tutorspace-vercel-app-58445.txt - Page 1
==================================================
**Elapsed Time: 1.95 seconds**
==================================================


FINAL ANSWER 
Answer: <IPython.core.display.Markdown object>
==================================================
**Elapsed Time: 0.00 seconds**
==================================================