Files

198 lines
6.9 KiB
Python

# SPDX-License-Identifier: Apache-2.0
"""Provider-agnostic prompt orchestration for the streaming server.
Three operations the streaming server needs:
* ``enhance`` — polish a user prompt (add cinematic detail, fix syntax)
* ``auto_extend`` — generate a follow-on prompt for loop generation
* ``rewrite`` — rewrite a seed prompt for a user-directed rewrite flow
All three share the same orchestration: pick a provider in priority
order, submit an ``LLMRequest``, fall back to the next provider on
retryable errors, and surface a structured :class:`LLMResponse` back
to the caller.
System prompts are loaded from ``system_prompt_dir`` on construction
and can be hot-reloaded via :meth:`PromptEnhancer.reload_system_prompts`.
The streaming server's management endpoint calls that method in
response to a ``rewrite_seed_prompts_started`` frame.
"""
from __future__ import annotations
import enum
import os
from collections.abc import Sequence
from dataclasses import dataclass, replace
from fastvideo.entrypoints.streaming.prompt.providers.base import (
LLMMessage,
LLMProvider,
LLMProviderError,
LLMRequest,
LLMResponse,
)
from fastvideo.logger import init_logger
logger = init_logger(__name__)
class PromptOperation(enum.Enum):
ENHANCE = "enhance"
AUTO_EXTEND = "auto_extend"
REWRITE = "rewrite"
@dataclass
class _SystemPrompts:
enhance: str
auto_extend: str
rewrite: str
_DEFAULT_SYSTEM_PROMPTS = _SystemPrompts(
enhance=("You are a prompt enhancer for cinematic video generation. Given "
"a user prompt, produce an enhanced prompt that is more vivid, "
"specific, and concrete. Keep the subject intact; add lighting, "
"camera, and motion detail. Reply with just the enhanced prompt."),
auto_extend=("You are a video continuation assistant. Given the current "
"sequence of prompts, produce one new prompt that naturally "
"continues the sequence. Reply with just the next prompt."),
rewrite=("You are a creative prompt rewriter. Given a seed prompt, produce "
"a set of alternative prompts that explore different angles, "
"styles, and moods. Reply with one prompt per line."),
)
class PromptEnhancer:
"""Orchestrates prompt operations across a priority-ordered provider
list with structured fallback + hot-reloadable system prompts.
Usage::
enhancer = PromptEnhancer(
providers=[CerebrasProvider(), GroqProvider()],
model="gpt-oss-120b",
system_prompt_dir="/etc/fastvideo/prompts",
)
response = await enhancer.enhance("a fox running through snow")
"""
def __init__(
self,
*,
providers: Sequence[LLMProvider],
model: str,
timeout_ms: int = 20000,
temperature: float = 0.7,
max_tokens: int | None = 256,
system_prompt_dir: str | None = None,
) -> None:
if not providers:
raise ValueError("PromptEnhancer requires at least one LLMProvider")
self._providers = list(providers)
self._model = model
self._timeout_ms = timeout_ms
self._temperature = temperature
self._max_tokens = max_tokens
self._system_prompt_dir = system_prompt_dir
self._system_prompts = self._load_system_prompts()
@property
def providers(self) -> list[LLMProvider]:
return list(self._providers)
def register_provider(self, provider: LLMProvider, *, priority: int = -1) -> None:
"""Insert an additional provider. ``priority=0`` makes it primary;
``priority=-1`` (default) appends as a fallback."""
if priority < 0:
self._providers.append(provider)
else:
self._providers.insert(priority, provider)
def reload_system_prompts(self) -> None:
"""Re-read the system prompt files from ``system_prompt_dir``.
The streaming server exposes this via a management endpoint so
operators can iterate on prompt templates without restarting
workers.
"""
self._system_prompts = self._load_system_prompts()
logger.info("prompt enhancer: reloaded system prompts from %s", self._system_prompt_dir or "defaults")
async def enhance(self, prompt: str) -> LLMResponse:
return await self._run(
PromptOperation.ENHANCE,
system=self._system_prompts.enhance,
user=prompt,
)
async def auto_extend(self, prior_prompts: Sequence[str]) -> LLMResponse:
user = "\n".join(prior_prompts)
return await self._run(
PromptOperation.AUTO_EXTEND,
system=self._system_prompts.auto_extend,
user=user,
)
async def rewrite(self, seed_prompt: str) -> LLMResponse:
return await self._run(
PromptOperation.REWRITE,
system=self._system_prompts.rewrite,
user=seed_prompt,
)
async def _run(
self,
operation: PromptOperation,
*,
system: str,
user: str,
) -> LLMResponse:
request = LLMRequest(
messages=[
LLMMessage(role="system", content=system),
LLMMessage(role="user", content=user),
],
model=self._model,
max_tokens=self._max_tokens,
temperature=self._temperature,
timeout_ms=self._timeout_ms,
)
last_error: LLMProviderError | None = None
for idx, provider in enumerate(self._providers):
try:
response = await provider.complete(request)
if idx > 0:
# Mark the fallback flag without losing any other
# response fields the provider populated.
response = replace(response, fallback_used=True)
return response
except LLMProviderError as exc:
logger.warning("prompt %s: provider %s failed: %s; trying next", operation.value, provider.name, exc)
last_error = exc
if not exc.retryable:
break
assert last_error is not None
raise last_error
def _load_system_prompts(self) -> _SystemPrompts:
if not self._system_prompt_dir:
return _DEFAULT_SYSTEM_PROMPTS
return _SystemPrompts(
enhance=_read_prompt(self._system_prompt_dir, "enhance.txt", _DEFAULT_SYSTEM_PROMPTS.enhance),
auto_extend=_read_prompt(self._system_prompt_dir, "auto_extend.txt", _DEFAULT_SYSTEM_PROMPTS.auto_extend),
rewrite=_read_prompt(self._system_prompt_dir, "rewrite.txt", _DEFAULT_SYSTEM_PROMPTS.rewrite),
)
def _read_prompt(dirname: str, filename: str, default: str) -> str:
path = os.path.join(dirname, filename)
if not os.path.exists(path):
return default
with open(path, encoding="utf-8") as f:
content = f.read().strip()
return content or default
__all__ = ["PromptEnhancer", "PromptOperation"]