Combined Persona and Prompt API (#3690)

* Combined Persona and Prompt API

* quality

* added tests

* consolidated models and got rid of redundant fields

* tenant appreciation day

* reverted default

backend/ee/onyx/server/seeding.py

@@ -24,7 +24,7 @@
 from onyx.db.llm import upsert_llm_provider
 from onyx.db.models import Tool
 from onyx.db.persona import upsert_persona
-from onyx.server.features.persona.models import CreatePersonaRequest
+from onyx.server.features.persona.models import PersonaUpsertRequest
 from onyx.server.manage.llm.models import LLMProviderUpsertRequest
 from onyx.server.settings.models import Settings
 from onyx.server.settings.store import store_settings as store_base_settings
@@ -57,7 +57,7 @@ class SeedConfiguration(BaseModel):
     llms: list[LLMProviderUpsertRequest] | None = None
     admin_user_emails: list[str] | None = None
     seeded_logo_path: str | None = None
-    personas: list[CreatePersonaRequest] | None = None
+    personas: list[PersonaUpsertRequest] | None = None
     settings: Settings | None = None
     enterprise_settings: EnterpriseSettings | None = None
 
@@ -128,7 +128,7 @@ def _seed_llms(
         )
 
 
-def _seed_personas(db_session: Session, personas: list[CreatePersonaRequest]) -> None:
+def _seed_personas(db_session: Session, personas: list[PersonaUpsertRequest]) -> None:
     if personas:
         logger.notice("Seeding Personas")
         for persona in personas:

backend/onyx/chat/chat_utils.py

@@ -25,7 +25,7 @@
 from onyx.db.models import Prompt
 from onyx.db.models import Tool
 from onyx.db.models import User
-from onyx.db.persona import get_prompts_by_ids
+from onyx.db.prompts import get_prompts_by_ids
 from onyx.llm.models import PreviousMessage
 from onyx.natural_language_processing.utils import BaseTokenizer
 from onyx.server.query_and_chat.models import CreateChatMessageRequest

backend/onyx/chat/prompt_builder/citations_prompt.py

@@ -1,12 +1,13 @@
 from langchain.schema.messages import HumanMessage
 from langchain.schema.messages import SystemMessage
+from sqlalchemy.orm import Session
 
 from onyx.chat.models import LlmDoc
 from onyx.chat.models import PromptConfig
 from onyx.configs.model_configs import GEN_AI_SINGLE_USER_MESSAGE_EXPECTED_MAX_TOKENS
 from onyx.context.search.models import InferenceChunk
 from onyx.db.models import Persona
-from onyx.db.persona import get_default_prompt__read_only
+from onyx.db.prompts import get_default_prompt
 from onyx.db.search_settings import get_multilingual_expansion
 from onyx.llm.factory import get_llms_for_persona
 from onyx.llm.factory import get_main_llm_from_tuple
@@ -97,11 +98,12 @@ def compute_max_document_tokens(
 
 
 def compute_max_document_tokens_for_persona(
+    db_session: Session,
     persona: Persona,
     actual_user_input: str | None = None,
     max_llm_token_override: int | None = None,
 ) -> int:
-    prompt = persona.prompts[0] if persona.prompts else get_default_prompt__read_only()
+    prompt = persona.prompts[0] if persona.prompts else get_default_prompt(db_session)
     return compute_max_document_tokens(
         prompt_config=PromptConfig.from_model(prompt),
         llm_config=get_main_llm_from_tuple(get_llms_for_persona(persona)).config,

backend/onyx/chat/prompt_builder/utils.py

@@ -7,26 +7,6 @@
 from onyx.file_store.models import InMemoryChatFile
 from onyx.llm.models import PreviousMessage
 from onyx.llm.utils import build_content_with_imgs
-from onyx.prompts.direct_qa_prompts import PARAMATERIZED_PROMPT
-from onyx.prompts.direct_qa_prompts import PARAMATERIZED_PROMPT_WITHOUT_CONTEXT
-
-
-def build_dummy_prompt(
-    system_prompt: str, task_prompt: str, retrieval_disabled: bool
-) -> str:
-    if retrieval_disabled:
-        return PARAMATERIZED_PROMPT_WITHOUT_CONTEXT.format(
-            user_query="<USER_QUERY>",
-            system_prompt=system_prompt,
-            task_prompt=task_prompt,
-        ).strip()
-
-    return PARAMATERIZED_PROMPT.format(
-        context_docs_str="<CONTEXT_DOCS>",
-        user_query="<USER_QUERY>",
-        system_prompt=system_prompt,
-        task_prompt=task_prompt,
-    ).strip()
 
 
 def translate_onyx_msg_to_langchain(