llama-stack-mirror/llama_stack/apis/prompts/prompts.py
Charlie Doern c88c4ff2c6
feat: introduce API leveling, post_training, eval to v1alpha (#3449)
# What does this PR do?

Rather than have a single `LLAMA_STACK_VERSION`, we need to have a
`_V1`, `_V1ALPHA`, and `_V1BETA` constant.

This also necessitated addition of `level` to the `WebMethod` so that
routing can be handeled properly.


For backwards compat, the `v1` routes are being kept around and marked
as `deprecated`. When used, the server will log a deprecation warning.

Deprecation log:

<img width="1224" height="134" alt="Screenshot 2025-09-25 at 2 43 36 PM"
src="https://github.com/user-attachments/assets/0cc7c245-dafc-48f0-be99-269fb9a686f9"
/>

move:
1. post_training to `v1alpha` as it is under heavy development and not
near its final state
2. eval: job scheduling is not implemented. Relies heavily on the
datasetio API which is under development missing implementations of
specific routes indicating the structure of those routes might change.
Additionally eval depends on the `inference` API which is going to be
deprecated, eval will likely need a major API surface change to conform
to using completions properly

implements leveling in #3317 

note: integration tests will fail until the SDK is regenerated with
v1alpha/inference as opposed to v1/inference

## Test Plan

existing tests should pass with newly generated schema. Conformance will
also pass as these routes are not the ones we currently test for
stability

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-09-26 16:18:07 +02:00

190 lines
6.8 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import re
import secrets
from typing import Protocol, runtime_checkable
from pydantic import BaseModel, Field, field_validator, model_validator
from llama_stack.apis.version import LLAMA_STACK_API_V1
from llama_stack.providers.utils.telemetry.trace_protocol import trace_protocol
from llama_stack.schema_utils import json_schema_type, webmethod
@json_schema_type
class Prompt(BaseModel):
"""A prompt resource representing a stored OpenAI Compatible prompt template in Llama Stack.
:param prompt: The system prompt text with variable placeholders. Variables are only supported when using the Responses API.
:param version: Version (integer starting at 1, incremented on save)
:param prompt_id: Unique identifier formatted as 'pmpt_<48-digit-hash>'
:param variables: List of prompt variable names that can be used in the prompt template
:param is_default: Boolean indicating whether this version is the default version for this prompt
"""
prompt: str | None = Field(default=None, description="The system prompt with variable placeholders")
version: int = Field(description="Version (integer starting at 1, incremented on save)", ge=1)
prompt_id: str = Field(description="Unique identifier in format 'pmpt_<48-digit-hash>'")
variables: list[str] = Field(
default_factory=list, description="List of variable names that can be used in the prompt template"
)
is_default: bool = Field(
default=False, description="Boolean indicating whether this version is the default version"
)
@field_validator("prompt_id")
@classmethod
def validate_prompt_id(cls, prompt_id: str) -> str:
if not isinstance(prompt_id, str):
raise TypeError("prompt_id must be a string in format 'pmpt_<48-digit-hash>'")
if not prompt_id.startswith("pmpt_"):
raise ValueError("prompt_id must start with 'pmpt_' prefix")
hex_part = prompt_id[5:]
if len(hex_part) != 48:
raise ValueError("prompt_id must be in format 'pmpt_<48-digit-hash>' (48 lowercase hex chars)")
for char in hex_part:
if char not in "0123456789abcdef":
raise ValueError("prompt_id hex part must contain only lowercase hex characters [0-9a-f]")
return prompt_id
@field_validator("version")
@classmethod
def validate_version(cls, prompt_version: int) -> int:
if prompt_version < 1:
raise ValueError("version must be >= 1")
return prompt_version
@model_validator(mode="after")
def validate_prompt_variables(self):
"""Validate that all variables used in the prompt are declared in the variables list."""
if not self.prompt:
return self
prompt_variables = set(re.findall(r"{{\s*(\w+)\s*}}", self.prompt))
declared_variables = set(self.variables)
undeclared = prompt_variables - declared_variables
if undeclared:
raise ValueError(f"Prompt contains undeclared variables: {sorted(undeclared)}")
return self
@classmethod
def generate_prompt_id(cls) -> str:
# Generate 48 hex characters (24 bytes)
random_bytes = secrets.token_bytes(24)
hex_string = random_bytes.hex()
return f"pmpt_{hex_string}"
class ListPromptsResponse(BaseModel):
"""Response model to list prompts."""
data: list[Prompt]
@runtime_checkable
@trace_protocol
class Prompts(Protocol):
"""Protocol for prompt management operations."""
@webmethod(route="/prompts", method="GET", level=LLAMA_STACK_API_V1)
async def list_prompts(self) -> ListPromptsResponse:
"""List all prompts.
:returns: A ListPromptsResponse containing all prompts.
"""
...
@webmethod(route="/prompts/{prompt_id}/versions", method="GET", level=LLAMA_STACK_API_V1)
async def list_prompt_versions(
self,
prompt_id: str,
) -> ListPromptsResponse:
"""List all versions of a specific prompt.
:param prompt_id: The identifier of the prompt to list versions for.
:returns: A ListPromptsResponse containing all versions of the prompt.
"""
...
@webmethod(route="/prompts/{prompt_id}", method="GET", level=LLAMA_STACK_API_V1)
async def get_prompt(
self,
prompt_id: str,
version: int | None = None,
) -> Prompt:
"""Get a prompt by its identifier and optional version.
:param prompt_id: The identifier of the prompt to get.
:param version: The version of the prompt to get (defaults to latest).
:returns: A Prompt resource.
"""
...
@webmethod(route="/prompts", method="POST", level=LLAMA_STACK_API_V1)
async def create_prompt(
self,
prompt: str,
variables: list[str] | None = None,
) -> Prompt:
"""Create a new prompt.
:param prompt: The prompt text content with variable placeholders.
:param variables: List of variable names that can be used in the prompt template.
:returns: The created Prompt resource.
"""
...
@webmethod(route="/prompts/{prompt_id}", method="PUT", level=LLAMA_STACK_API_V1)
async def update_prompt(
self,
prompt_id: str,
prompt: str,
version: int,
variables: list[str] | None = None,
set_as_default: bool = True,
) -> Prompt:
"""Update an existing prompt (increments version).
:param prompt_id: The identifier of the prompt to update.
:param prompt: The updated prompt text content.
:param version: The current version of the prompt being updated.
:param variables: Updated list of variable names that can be used in the prompt template.
:param set_as_default: Set the new version as the default (default=True).
:returns: The updated Prompt resource with incremented version.
"""
...
@webmethod(route="/prompts/{prompt_id}", method="DELETE", level=LLAMA_STACK_API_V1)
async def delete_prompt(
self,
prompt_id: str,
) -> None:
"""Delete a prompt.
:param prompt_id: The identifier of the prompt to delete.
"""
...
@webmethod(route="/prompts/{prompt_id}/set-default-version", method="PUT", level=LLAMA_STACK_API_V1)
async def set_default_version(
self,
prompt_id: str,
version: int,
) -> Prompt:
"""Set which version of a prompt should be the default in get_prompt (latest).
:param prompt_id: The identifier of the prompt.
:param version: The version to set as default.
:returns: The prompt with the specified version now set as default.
"""
...