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feat(fireworks): add prompt caching middleware (#38823)
Added `FireworksPromptCachingMiddleware` to improve prompt-cache reuse across calls in the same agent thread. Explicit affinity settings take precedence, and no affinity is generated without a thread ID. --- Fireworks agents need consistent routing to reuse a replica's prompt cache across turns. `FireworksPromptCachingMiddleware` supplies session affinity from a SHA-256 hash of `config.configurable.thread_id`, while respecting explicit `user`, `prompt_cache_key`, and `x-session-affinity` settings on the selected model or request. Affinity is scoped to the call and applied by `ChatFireworks` when invoking the API. Generated affinity stays out of shared request settings, and model-local headers remain scoped to their owning model, including during fallback. This works with either ordering of the caching and fallback middleware for a Fireworks primary model. Related fallback cleanup for explicitly supplied cache settings is in #40886, stacked on this PR. This PR works independently of that change. --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
This commit is contained in:
Mason Daughertyandopen-swe[bot] authored and GitHub committed
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@@ -6,6 +6,7 @@ import contextlib
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import json
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import logging
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from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
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from contextvars import ContextVar
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from operator import itemgetter
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from typing import (
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Any,
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@@ -123,6 +124,10 @@ from langchain_fireworks.data._profiles import _PROFILES
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logger = logging.getLogger(__name__)
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_PROMPT_CACHE_AFFINITY: ContextVar[str | None] = ContextVar(
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"fireworks_prompt_cache_affinity", default=None
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)
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_MODEL_PROFILES = cast("ModelProfileRegistry", _PROFILES)
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@@ -759,6 +764,57 @@ def _prepare_sdk_kwargs(kwargs: dict[str, Any]) -> dict[str, Any]:
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return kwargs
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def _merge_model_headers(llm: ChatFireworks, kwargs: dict[str, Any]) -> dict[str, Any]:
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"""Merge model-local headers only when invoking their owning model."""
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model_headers = llm.model_kwargs.get("extra_headers")
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request_headers = kwargs.get("extra_headers")
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if isinstance(model_headers, Mapping) and isinstance(request_headers, Mapping):
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# HTTP header names are case-insensitive; retain the request's spelling.
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headers = {
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key.lower(): (key, value)
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for source in (model_headers, request_headers)
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for key, value in source.items()
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}
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return {
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**kwargs,
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"extra_headers": dict(headers.values()),
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}
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return kwargs
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def _apply_prompt_cache_affinity(kwargs: dict[str, Any]) -> dict[str, Any]:
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"""Apply the middleware default after the selected model's settings are merged."""
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affinity = _PROMPT_CACHE_AFFINITY.get()
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if affinity is None:
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return kwargs
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# The SDK merges extra_body over top-level fields before sending the request.
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extra_body = kwargs.get("extra_body")
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body = {**kwargs, **extra_body} if isinstance(extra_body, Mapping) else kwargs
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if any(body.get(key) for key in ("user", "prompt_cache_key")):
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return kwargs
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headers = kwargs.get("extra_headers")
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if isinstance(headers, Mapping):
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if any(
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isinstance(key, str) and key.lower() == "x-session-affinity"
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for key in headers
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):
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return kwargs
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elif headers is not None:
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logger.warning(
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"Cannot set Fireworks session affinity because extra_headers is %s",
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type(headers).__name__,
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)
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return kwargs
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return {
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**kwargs,
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"prompt_cache_key": affinity,
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"extra_headers": {**(headers or {}), "x-session-affinity": affinity},
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}
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def _completion_with_retry(
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llm: ChatFireworks,
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run_manager: CallbackManagerForLLMRun | None = None,
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@@ -766,7 +822,9 @@ def _completion_with_retry(
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) -> Any:
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"""Retry the sync completion call, including stream setup."""
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retry_decorator = _create_retry_decorator(llm, run_manager=run_manager)
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kwargs = _prepare_sdk_kwargs(kwargs)
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kwargs = _prepare_sdk_kwargs(
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_apply_prompt_cache_affinity(_merge_model_headers(llm, kwargs))
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)
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@retry_decorator
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def _call() -> Any:
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@@ -799,7 +857,9 @@ async def _acompletion_with_retry(
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) -> Any:
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"""Retry the async completion call, including stream setup."""
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retry_decorator = _create_retry_decorator(llm, run_manager=run_manager)
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kwargs = _prepare_sdk_kwargs(kwargs)
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kwargs = _prepare_sdk_kwargs(
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_apply_prompt_cache_affinity(_merge_model_headers(llm, kwargs))
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)
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@retry_decorator
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async def _call() -> Any:
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@@ -0,0 +1,7 @@
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"""Middleware for Fireworks models."""
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from langchain_fireworks.middleware.prompt_caching import (
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FireworksPromptCachingMiddleware,
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)
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__all__ = ["FireworksPromptCachingMiddleware"]
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@@ -0,0 +1,184 @@
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"""Middleware for Fireworks prompt-cache session affinity.
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Requires `langchain` for the agent middleware framework. It is imported lazily,
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and an `ImportError` with install guidance is raised if it is missing.
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`ChatFireworks` is provided by this package (`langchain-fireworks`).
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"""
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from __future__ import annotations
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import hashlib
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import logging
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from collections.abc import Awaitable, Callable, Iterator
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from contextlib import contextmanager
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from typing import Literal
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from warnings import warn
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from langchain_fireworks.chat_models import _PROMPT_CACHE_AFFINITY, ChatFireworks
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try:
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from langchain.agents.middleware.types import (
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AgentMiddleware,
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ModelCallResult,
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ModelRequest,
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ModelResponse,
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)
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from langgraph.config import get_config
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except ImportError as e:
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msg = (
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"FireworksPromptCachingMiddleware requires 'langchain' to be installed "
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f"(missing module: {e.name}). This middleware is designed for use with "
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"LangChain agents. Install it with: pip install langchain"
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)
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raise ImportError(msg) from e
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logger = logging.getLogger(__name__)
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_UNSUPPORTED_MODEL_BEHAVIORS = ("ignore", "warn", "raise")
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def _get_thread_id(request: ModelRequest) -> str | None:
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"""Return the thread ID from request runtime metadata or runnable config."""
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# Runtime metadata is available even without async config propagation on
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# Python 3.10. Older runtimes may not expose execution_info.
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execution_info = getattr(request.runtime, "execution_info", None)
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thread_id = getattr(execution_info, "thread_id", None)
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if isinstance(thread_id, str) and thread_id:
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return thread_id
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try:
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config = get_config()
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except RuntimeError:
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return None
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thread_id = (config.get("configurable") or {}).get("thread_id")
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if isinstance(thread_id, str) and thread_id:
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return thread_id
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return None
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@contextmanager
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def _session_affinity(request: ModelRequest) -> Iterator[None]:
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"""Scope an affinity default to this call, including any fallback attempts."""
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thread_id = _get_thread_id(request)
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affinity = (
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hashlib.sha256(thread_id.encode("utf-8")).hexdigest()
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if thread_id is not None
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else None
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)
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if affinity is None:
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logger.debug("Fireworks session affinity not applied: no thread_id in config")
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token = _PROMPT_CACHE_AFFINITY.set(affinity)
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try:
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yield
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finally:
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_PROMPT_CACHE_AFFINITY.reset(token)
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class FireworksPromptCachingMiddleware(AgentMiddleware):
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"""Set Fireworks prompt-cache session affinity from the active thread ID.
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Fireworks prompt caching is enabled by default. This middleware improves
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cache hit rate by pinning session affinity to a SHA-256 hash of
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`config.configurable.thread_id`, so related requests route to the same
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replica and reuse its warm cache. The hexadecimal hash keeps affinity values
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safe for HTTP headers, including when thread IDs contain Unicode.
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The middleware supplies a scoped default that `ChatFireworks` applies to
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`prompt_cache_key` and `extra_headers["x-session-affinity"]` when invoking
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the API. Explicit `user` or `prompt_cache_key` body fields (including
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`extra_body` overrides), or `x-session-affinity` headers on the selected
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model or request take precedence, including on fallback models. No affinity
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is added when no thread ID is configured.
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Generated affinity stays out of shared request settings, so it is never
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forwarded to another provider. This works with either ordering of this
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middleware and `ModelFallbackMiddleware` for a Fireworks primary model.
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"""
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def __init__(
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self,
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*,
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unsupported_model_behavior: Literal["ignore", "warn", "raise"] = "warn",
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) -> None:
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"""Initialize the middleware.
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Args:
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unsupported_model_behavior: Behavior when the request model is not
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`ChatFireworks`. `"ignore"` continues without affinity,
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`"warn"` emits a warning, and `"raise"` raises `ValueError`.
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Raises:
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ValueError: If `unsupported_model_behavior` is not one of
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`"ignore"`, `"warn"`, or `"raise"`.
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"""
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if unsupported_model_behavior not in _UNSUPPORTED_MODEL_BEHAVIORS:
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msg = (
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"unsupported_model_behavior must be one of "
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f"{_UNSUPPORTED_MODEL_BEHAVIORS}, got {unsupported_model_behavior!r}."
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)
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raise ValueError(msg)
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self.unsupported_model_behavior = unsupported_model_behavior
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def _should_apply_caching(self, request: ModelRequest) -> bool:
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"""Return whether session affinity should be applied to the request.
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Args:
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request: The model request to check.
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Returns:
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`True` if the request model is `ChatFireworks`, else `False`.
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Raises:
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ValueError: If the model is unsupported and
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`unsupported_model_behavior` is `"raise"`.
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"""
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if isinstance(request.model, ChatFireworks):
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return True
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msg = (
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"FireworksPromptCachingMiddleware only supports ChatFireworks, "
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f"not {type(request.model).__name__}."
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)
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if self.unsupported_model_behavior == "raise":
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raise ValueError(msg)
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if self.unsupported_model_behavior == "warn":
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warn(msg, stacklevel=3)
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return False
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def wrap_model_call(
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self,
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request: ModelRequest,
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handler: Callable[[ModelRequest], ModelResponse],
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) -> ModelCallResult:
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"""Supply default Fireworks affinity while executing the handler.
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Args:
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request: The outgoing model request.
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handler: Callable that executes the request.
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Returns:
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The result produced by `handler`.
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"""
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if not self._should_apply_caching(request):
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return handler(request)
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with _session_affinity(request):
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return handler(request)
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async def awrap_model_call(
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self,
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request: ModelRequest,
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handler: Callable[[ModelRequest], Awaitable[ModelResponse]],
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) -> ModelCallResult:
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"""Supply default Fireworks affinity while awaiting the handler.
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Args:
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request: The outgoing model request.
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handler: Async callable that executes the request.
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Returns:
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The result produced by `handler`.
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"""
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if not self._should_apply_caching(request):
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return await handler(request)
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with _session_affinity(request):
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return await handler(request)
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@@ -52,6 +52,7 @@ test = [
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"pytest-socket>=0.7.0,<1.0.0",
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"pytest-xdist>=3.8.0,<4.0.0",
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"langchain-tests>=1.1.9,<2.0.0",
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"langchain>=1.0.0,<2.0.0",
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]
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test_integration = []
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lint = ["ruff>=0.13.1,<0.14.0"]
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@@ -72,6 +73,7 @@ constraint-dependencies = [
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prerelease = "allow"
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[tool.uv.sources]
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langchain = { path = "../../langchain_v1", editable = true }
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langchain-core = { path = "../../core", editable = true }
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langchain-tests = { path = "../../standard-tests", editable = true }
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Whitespace-only changes.
@@ -0,0 +1,586 @@
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"""Unit tests for `FireworksPromptCachingMiddleware`."""
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from __future__ import annotations
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import asyncio
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import json
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import logging
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from collections.abc import Awaitable, Callable
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from typing import Any
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from unittest.mock import AsyncMock, MagicMock, patch
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import httpx
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import pytest
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from fireworks import AsyncFireworks, Fireworks
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from langchain.agents import create_agent
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from langchain.agents.middleware import ModelFallbackMiddleware, wrap_model_call
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from langchain.agents.middleware.types import ModelRequest, ModelResponse
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from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
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from langchain_core.messages import AIMessage, HumanMessage
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from langchain_core.runnables import RunnableConfig
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from langchain_fireworks import ChatFireworks
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from langchain_fireworks.middleware import FireworksPromptCachingMiddleware
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_THREAD_ID = "thread-abc-123"
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_AFFINITY = "ef8dbcc47038744819e7c6386305c0acf1961597773391096c267358ec6496eb"
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_MODEL_NAME = "accounts/fireworks/models/test-model"
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_SESSION_AFFINITY_HEADER = "x-session-affinity"
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def _make_model(**kwargs: Any) -> ChatFireworks:
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settings: dict[str, Any] = {
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"model": _MODEL_NAME,
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"api_key": "fake-key",
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**kwargs,
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}
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model = ChatFireworks(**settings)
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response = {"choices": [{"message": {"role": "assistant", "content": "ok"}}]}
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model.client = MagicMock()
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model.client.create.return_value = response
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model.async_client = MagicMock()
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model.async_client.create = AsyncMock(return_value=response)
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return model
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def _call_kwargs(request: ModelRequest) -> dict[str, Any]:
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assert isinstance(request.model, ChatFireworks)
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return dict(request.model.client.create.call_args.kwargs)
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def _make_request(
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model: ChatFireworks | GenericFakeChatModel,
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model_settings: dict[str, Any] | None = None,
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) -> ModelRequest:
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return ModelRequest(
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model=model,
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messages=[],
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model_settings=model_settings if model_settings is not None else {},
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)
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def _run(
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request: ModelRequest,
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*,
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middleware: FireworksPromptCachingMiddleware | None = None,
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thread_id: str | None = _THREAD_ID,
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config: dict[str, Any] | None = None,
|
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) -> ModelRequest:
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middleware = middleware or FireworksPromptCachingMiddleware()
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captured: dict[str, ModelRequest] = {}
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def handler(req: ModelRequest) -> ModelResponse:
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captured["request"] = req
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return ModelResponse(result=[req.model.invoke("Hello", **req.model_settings)])
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|
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if config is None:
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config = (
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{"configurable": {"thread_id": thread_id}} if thread_id is not None else {}
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)
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with patch(
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"langchain_fireworks.middleware.prompt_caching.get_config",
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return_value=config,
|
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):
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middleware.wrap_model_call(request, handler)
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return captured["request"]
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|
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|
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async def _arun(
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request: ModelRequest,
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*,
|
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middleware: FireworksPromptCachingMiddleware | None = None,
|
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) -> ModelRequest:
|
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middleware = middleware or FireworksPromptCachingMiddleware()
|
||||
captured: dict[str, ModelRequest] = {}
|
||||
|
||||
async def handler(req: ModelRequest) -> ModelResponse:
|
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captured["request"] = req
|
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message = await req.model.ainvoke("Hello", **req.model_settings)
|
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return ModelResponse(result=[message])
|
||||
|
||||
with patch(
|
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"langchain_fireworks.middleware.prompt_caching.get_config",
|
||||
return_value={"configurable": {"thread_id": _THREAD_ID}},
|
||||
):
|
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await middleware.awrap_model_call(request, handler)
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return captured["request"]
|
||||
|
||||
|
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@pytest.mark.parametrize(
|
||||
"thread_id",
|
||||
[
|
||||
"会話-café-😀",
|
||||
"thread\r\nInjected: value\x00",
|
||||
"x" * 1024,
|
||||
],
|
||||
ids=["unicode", "control-characters", "long"],
|
||||
)
|
||||
def test_thread_id_produces_stable_header_safe_affinity(thread_id: str) -> None:
|
||||
request = _make_request(_make_model())
|
||||
|
||||
def run(value: str) -> dict[str, Any]:
|
||||
_run(request, thread_id=value)
|
||||
return _call_kwargs(request)
|
||||
|
||||
result = run(thread_id)
|
||||
affinity = httpx.Headers(result["extra_headers"])[_SESSION_AFFINITY_HEADER]
|
||||
assert result["prompt_cache_key"] == affinity
|
||||
assert len(affinity) == 64
|
||||
assert set(affinity) <= set("0123456789abcdef")
|
||||
assert run(thread_id)["prompt_cache_key"] == affinity
|
||||
assert run(thread_id + "-other")["prompt_cache_key"] != affinity
|
||||
assert request.model_settings == {}
|
||||
|
||||
|
||||
def test_unsupported_model_behavior() -> None:
|
||||
model = GenericFakeChatModel(messages=iter([AIMessage(content="ok")] * 2))
|
||||
request = _make_request(model)
|
||||
|
||||
ignored = _run(
|
||||
request,
|
||||
middleware=FireworksPromptCachingMiddleware(
|
||||
unsupported_model_behavior="ignore"
|
||||
),
|
||||
)
|
||||
assert ignored is request
|
||||
|
||||
with pytest.warns(UserWarning, match="only supports ChatFireworks"):
|
||||
warned = _run(request)
|
||||
assert warned is request
|
||||
|
||||
with pytest.raises(ValueError, match="only supports ChatFireworks"):
|
||||
_run(
|
||||
request,
|
||||
middleware=FireworksPromptCachingMiddleware(
|
||||
unsupported_model_behavior="raise"
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
def test_invalid_unsupported_model_behavior_raises() -> None:
|
||||
with pytest.raises(ValueError, match="unsupported_model_behavior must be one of"):
|
||||
FireworksPromptCachingMiddleware(
|
||||
unsupported_model_behavior="warning", # type: ignore[arg-type]
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("config", "thread_id"),
|
||||
[
|
||||
({}, None),
|
||||
({"configurable": None}, _THREAD_ID),
|
||||
(None, ""),
|
||||
({"configurable": {"thread_id": 123}}, None),
|
||||
],
|
||||
)
|
||||
def test_missing_thread_id_is_unchanged(
|
||||
config: dict[str, Any] | None,
|
||||
thread_id: str | None,
|
||||
) -> None:
|
||||
request = _make_request(_make_model())
|
||||
result = _run(request, config=config, thread_id=thread_id)
|
||||
|
||||
assert result is request
|
||||
assert result.model_settings == {}
|
||||
assert "prompt_cache_key" not in _call_kwargs(request)
|
||||
assert "extra_headers" not in _call_kwargs(request)
|
||||
|
||||
|
||||
def test_no_runnable_context_is_unchanged() -> None:
|
||||
request = _make_request(_make_model())
|
||||
middleware = FireworksPromptCachingMiddleware()
|
||||
captured: dict[str, ModelRequest] = {}
|
||||
|
||||
def handler(req: ModelRequest) -> ModelResponse:
|
||||
captured["request"] = req
|
||||
return ModelResponse(result=[req.model.invoke("Hello", **req.model_settings)])
|
||||
|
||||
with patch(
|
||||
"langchain_fireworks.middleware.prompt_caching.get_config",
|
||||
side_effect=RuntimeError,
|
||||
):
|
||||
middleware.wrap_model_call(request, handler)
|
||||
|
||||
assert captured["request"] is request
|
||||
assert "prompt_cache_key" not in _call_kwargs(request)
|
||||
assert "extra_headers" not in _call_kwargs(request)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("setting", ["user", "prompt_cache_key"])
|
||||
def test_existing_affinity_setting_causes_no_injection(setting: str) -> None:
|
||||
request = _make_request(_make_model(), {setting: "caller"})
|
||||
result = _run(request)
|
||||
|
||||
assert result is request
|
||||
assert result.model_settings == {setting: "caller"}
|
||||
assert _call_kwargs(request)[setting] == "caller"
|
||||
assert "extra_headers" not in _call_kwargs(request)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("use_async", [False, True])
|
||||
@pytest.mark.parametrize("on_model", [False, True])
|
||||
@pytest.mark.parametrize("setting", ["user", "prompt_cache_key"])
|
||||
async def test_extra_body_affinity_takes_precedence_on_the_wire(
|
||||
setting: str, *, use_async: bool, on_model: bool
|
||||
) -> None:
|
||||
requests: list[httpx.Request] = []
|
||||
extra_body = {setting: "explicit-affinity"}
|
||||
|
||||
def respond(request: httpx.Request) -> httpx.Response:
|
||||
requests.append(request)
|
||||
return httpx.Response(
|
||||
200,
|
||||
json={"choices": [{"message": {"role": "assistant", "content": "ok"}}]},
|
||||
)
|
||||
|
||||
with Fireworks(
|
||||
api_key="fake-key",
|
||||
http_client=httpx.Client(transport=httpx.MockTransport(respond)),
|
||||
) as sdk:
|
||||
async with AsyncFireworks(
|
||||
api_key="fake-key",
|
||||
http_client=httpx.AsyncClient(transport=httpx.MockTransport(respond)),
|
||||
) as async_sdk:
|
||||
model = ChatFireworks(
|
||||
model=_MODEL_NAME,
|
||||
api_key="fake-key", # type: ignore[arg-type]
|
||||
client=sdk.chat.completions,
|
||||
async_client=async_sdk.chat.completions,
|
||||
model_kwargs={"extra_body": extra_body} if on_model else {},
|
||||
)
|
||||
request = _make_request(
|
||||
model, {} if on_model else {"extra_body": extra_body}
|
||||
)
|
||||
if use_async:
|
||||
await _arun(request)
|
||||
else:
|
||||
_run(request)
|
||||
|
||||
assert len(requests) == 1
|
||||
body = json.loads(requests[0].content)
|
||||
assert body[setting] == "explicit-affinity"
|
||||
assert body.get("prompt_cache_key") == extra_body.get("prompt_cache_key")
|
||||
assert _SESSION_AFFINITY_HEADER not in requests[0].headers
|
||||
assert extra_body == {setting: "explicit-affinity"}
|
||||
assert model.model_kwargs == ({"extra_body": extra_body} if on_model else {})
|
||||
assert request.model_settings == ({} if on_model else {"extra_body": extra_body})
|
||||
|
||||
|
||||
@pytest.mark.parametrize("use_async", [False, True])
|
||||
@pytest.mark.parametrize("setting", ["user", "prompt_cache_key"])
|
||||
async def test_extra_body_null_overrides_top_level_affinity(
|
||||
setting: str, *, use_async: bool
|
||||
) -> None:
|
||||
settings = {setting: "overridden", "extra_body": {setting: None}}
|
||||
model = _make_model()
|
||||
request = _make_request(model, settings)
|
||||
if use_async:
|
||||
await _arun(request)
|
||||
else:
|
||||
_run(request)
|
||||
|
||||
client = model.async_client if use_async else model.client
|
||||
kwargs = client.create.call_args.kwargs
|
||||
assert kwargs["extra_headers"][_SESSION_AFFINITY_HEADER] == _AFFINITY
|
||||
assert kwargs["prompt_cache_key"] == _AFFINITY
|
||||
assert kwargs["extra_body"] == {setting: None}
|
||||
assert settings == {setting: "overridden", "extra_body": {setting: None}}
|
||||
|
||||
|
||||
@pytest.mark.parametrize("setting", ["user", "prompt_cache_key"])
|
||||
def test_null_affinity_setting_injects_session_affinity(setting: str) -> None:
|
||||
request = _make_request(_make_model(), {setting: None})
|
||||
result = _run(request)
|
||||
|
||||
assert result is request
|
||||
kwargs = _call_kwargs(request)
|
||||
if setting == "user":
|
||||
assert kwargs[setting] is None
|
||||
assert kwargs["prompt_cache_key"] == _AFFINITY
|
||||
assert kwargs["extra_headers"][_SESSION_AFFINITY_HEADER] == _AFFINITY
|
||||
|
||||
|
||||
def test_existing_session_affinity_header_causes_no_injection() -> None:
|
||||
request = _make_request(
|
||||
_make_model(),
|
||||
{"extra_headers": {"X-Session-Affinity": "existing"}},
|
||||
)
|
||||
result = _run(request)
|
||||
|
||||
assert result is request
|
||||
assert result.model_settings["extra_headers"] == {"X-Session-Affinity": "existing"}
|
||||
assert _call_kwargs(request)["extra_headers"] == {"X-Session-Affinity": "existing"}
|
||||
assert "prompt_cache_key" not in _call_kwargs(request)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("use_async", [False, True])
|
||||
@pytest.mark.parametrize("fireworks_fallback", [False, True])
|
||||
async def test_model_headers_do_not_leak_to_fallback(
|
||||
*, use_async: bool, fireworks_fallback: bool
|
||||
) -> None:
|
||||
primary_headers = {"Authorization": "primary-placeholder"}
|
||||
primary = _make_model(model_kwargs={"extra_headers": primary_headers})
|
||||
primary.client = MagicMock()
|
||||
primary.client.create.side_effect = ValueError("primary failed")
|
||||
primary.async_client = MagicMock()
|
||||
primary.async_client.create = AsyncMock(side_effect=ValueError("primary failed"))
|
||||
fallback: ChatFireworks | GenericFakeChatModel
|
||||
if fireworks_fallback:
|
||||
fallback = _make_model(
|
||||
model_kwargs={"extra_headers": {"Authorization": "fallback-placeholder"}}
|
||||
)
|
||||
else:
|
||||
fallback = GenericFakeChatModel(messages=iter([AIMessage(content="ok")]))
|
||||
|
||||
request_headers = {"X-Request-ID": "request-1"}
|
||||
request = _make_request(primary, {"extra_headers": request_headers})
|
||||
caching = FireworksPromptCachingMiddleware()
|
||||
fallbacks = ModelFallbackMiddleware(fallback)
|
||||
attempts: list[ModelRequest] = []
|
||||
|
||||
def handler(req: ModelRequest) -> ModelResponse:
|
||||
attempts.append(req)
|
||||
return ModelResponse(result=[req.model.invoke("Hello", **req.model_settings)])
|
||||
|
||||
async def ahandler(req: ModelRequest) -> ModelResponse:
|
||||
attempts.append(req)
|
||||
message = await req.model.ainvoke("Hello", **req.model_settings)
|
||||
return ModelResponse(result=[message])
|
||||
|
||||
with patch(
|
||||
"langchain_fireworks.middleware.prompt_caching.get_config",
|
||||
return_value={"configurable": {"thread_id": _THREAD_ID}},
|
||||
):
|
||||
if use_async:
|
||||
|
||||
async def afallback(req: ModelRequest) -> ModelResponse:
|
||||
result = await fallbacks.awrap_model_call(req, ahandler)
|
||||
assert isinstance(result, ModelResponse)
|
||||
return result
|
||||
|
||||
await caching.awrap_model_call(request, afallback)
|
||||
else:
|
||||
|
||||
def fallback_handler(req: ModelRequest) -> ModelResponse:
|
||||
result = fallbacks.wrap_model_call(req, handler)
|
||||
assert isinstance(result, ModelResponse)
|
||||
return result
|
||||
|
||||
caching.wrap_model_call(request, fallback_handler)
|
||||
|
||||
assert len(attempts) == 2
|
||||
for attempt in attempts:
|
||||
assert attempt.model_settings == {"extra_headers": request_headers}
|
||||
assert "Authorization" not in attempt.model_settings["extra_headers"]
|
||||
assert attempt.model_settings["extra_headers"]["X-Request-ID"] == "request-1"
|
||||
client = primary.async_client if use_async else primary.client
|
||||
assert client.create.call_args.kwargs["extra_headers"] == {
|
||||
**primary_headers,
|
||||
**request_headers,
|
||||
_SESSION_AFFINITY_HEADER: _AFFINITY,
|
||||
}
|
||||
if isinstance(fallback, ChatFireworks):
|
||||
client = fallback.async_client if use_async else fallback.client
|
||||
assert client.create.call_args.kwargs["extra_headers"] == {
|
||||
"Authorization": "fallback-placeholder",
|
||||
**request_headers,
|
||||
_SESSION_AFFINITY_HEADER: _AFFINITY,
|
||||
}
|
||||
assert primary.model_kwargs["extra_headers"] == primary_headers
|
||||
assert request.model_settings == {"extra_headers": request_headers}
|
||||
|
||||
|
||||
def test_non_mapping_extra_headers_is_unchanged_and_warns(
|
||||
caplog: pytest.LogCaptureFixture,
|
||||
) -> None:
|
||||
request = _make_request(
|
||||
_make_model(),
|
||||
{"extra_headers": ["not", "a", "mapping"]},
|
||||
)
|
||||
|
||||
with caplog.at_level(
|
||||
logging.WARNING,
|
||||
logger="langchain_fireworks.chat_models",
|
||||
):
|
||||
result = _run(request)
|
||||
|
||||
assert result is request
|
||||
assert any("extra_headers" in record.message for record in caplog.records)
|
||||
|
||||
|
||||
async def test_async_unsupported_model_passes_original_request() -> None:
|
||||
model = GenericFakeChatModel(messages=iter([AIMessage(content="ok")]))
|
||||
request = _make_request(model)
|
||||
result = await _arun(
|
||||
request,
|
||||
middleware=FireworksPromptCachingMiddleware(
|
||||
unsupported_model_behavior="ignore"
|
||||
),
|
||||
)
|
||||
|
||||
assert result is request
|
||||
|
||||
|
||||
@pytest.mark.parametrize("use_async", [False, True])
|
||||
async def test_agent_thread_id_without_runnable_context(*, use_async: bool) -> None:
|
||||
"""Runtime metadata supplies affinity without ambient config on Python 3.10."""
|
||||
model = _make_model()
|
||||
agent = create_agent(model, middleware=[FireworksPromptCachingMiddleware()])
|
||||
config: RunnableConfig = {"configurable": {"thread_id": _THREAD_ID}}
|
||||
|
||||
with patch(
|
||||
"langchain_fireworks.middleware.prompt_caching.get_config",
|
||||
side_effect=RuntimeError("No runnable context"),
|
||||
):
|
||||
if use_async:
|
||||
await agent.ainvoke({"messages": [HumanMessage("Hello")]}, config)
|
||||
else:
|
||||
agent.invoke({"messages": [HumanMessage("Hello")]}, config)
|
||||
|
||||
client = model.async_client if use_async else model.client
|
||||
kwargs = client.create.call_args.kwargs
|
||||
assert kwargs["prompt_cache_key"] == _AFFINITY
|
||||
assert kwargs["extra_headers"][_SESSION_AFFINITY_HEADER] == _AFFINITY
|
||||
|
||||
|
||||
@pytest.mark.parametrize("use_async", [False, True])
|
||||
@pytest.mark.parametrize(
|
||||
("primary_settings", "fallback_settings", "caching_first"),
|
||||
[
|
||||
pytest.param({}, {}, False, id="automatic-fallback-first"),
|
||||
pytest.param({}, {}, True, id="automatic-caching-first"),
|
||||
pytest.param({}, {"user": "fallback-user"}, True, id="fallback-user"),
|
||||
pytest.param(
|
||||
{}, {"prompt_cache_key": "fallback-cache"}, True, id="fallback-key"
|
||||
),
|
||||
pytest.param(
|
||||
{},
|
||||
{"extra_headers": {"X-Session-Affinity": "fallback-affinity"}},
|
||||
True,
|
||||
id="fallback-header",
|
||||
),
|
||||
pytest.param(
|
||||
{"prompt_cache_key": "primary-cache"},
|
||||
{},
|
||||
False,
|
||||
id="primary-key-fallback-first",
|
||||
),
|
||||
pytest.param(
|
||||
{"prompt_cache_key": "primary-cache"},
|
||||
{},
|
||||
True,
|
||||
id="primary-key-caching-first",
|
||||
),
|
||||
],
|
||||
)
|
||||
async def test_fallback_respects_explicit_affinity(
|
||||
primary_settings: dict[str, Any],
|
||||
fallback_settings: dict[str, Any],
|
||||
*,
|
||||
use_async: bool,
|
||||
caching_first: bool,
|
||||
) -> None:
|
||||
primary = _make_model(model_kwargs=primary_settings)
|
||||
primary.client = MagicMock()
|
||||
primary.client.create.side_effect = ValueError("primary failed")
|
||||
primary.async_client = MagicMock()
|
||||
primary.async_client.create = AsyncMock(side_effect=ValueError("primary failed"))
|
||||
fallback = _make_model(model_kwargs=fallback_settings)
|
||||
caching = FireworksPromptCachingMiddleware()
|
||||
fallbacks = ModelFallbackMiddleware(fallback)
|
||||
agent = create_agent(
|
||||
primary,
|
||||
middleware=[caching, fallbacks] if caching_first else [fallbacks, caching],
|
||||
)
|
||||
config: RunnableConfig = {"configurable": {"thread_id": _THREAD_ID}}
|
||||
if use_async:
|
||||
await agent.ainvoke({"messages": [HumanMessage("Hello")]}, config)
|
||||
else:
|
||||
agent.invoke({"messages": [HumanMessage("Hello")]}, config)
|
||||
|
||||
client = fallback.async_client if use_async else fallback.client
|
||||
kwargs = client.create.call_args.kwargs
|
||||
expected = fallback_settings or {
|
||||
"prompt_cache_key": _AFFINITY,
|
||||
"extra_headers": {_SESSION_AFFINITY_HEADER: _AFFINITY},
|
||||
}
|
||||
for setting in ("user", "prompt_cache_key", "extra_headers"):
|
||||
assert kwargs.get(setting) == expected.get(setting)
|
||||
assert fallback.model_kwargs == fallback_settings
|
||||
client = primary.async_client if use_async else primary.client
|
||||
assert client.create.call_args.kwargs["prompt_cache_key"] == primary_settings.get(
|
||||
"prompt_cache_key", _AFFINITY
|
||||
)
|
||||
assert primary.model_kwargs == primary_settings
|
||||
|
||||
|
||||
@pytest.mark.parametrize("use_async", [False, True])
|
||||
@pytest.mark.parametrize("fail", [False, True])
|
||||
async def test_affinity_is_cleared_after_handler(
|
||||
*, use_async: bool, fail: bool
|
||||
) -> None:
|
||||
model = _make_model()
|
||||
client = model.async_client if use_async else model.client
|
||||
request = _make_request(model)
|
||||
if fail:
|
||||
client.create.side_effect = ValueError("model failed")
|
||||
with pytest.raises(ValueError, match="model failed"):
|
||||
if use_async:
|
||||
await _arun(request)
|
||||
else:
|
||||
_run(request)
|
||||
client.create.side_effect = None
|
||||
elif use_async:
|
||||
await _arun(request)
|
||||
else:
|
||||
_run(request)
|
||||
|
||||
assert client.create.call_args.kwargs["prompt_cache_key"] == _AFFINITY
|
||||
if use_async:
|
||||
await model.ainvoke("Outside middleware")
|
||||
else:
|
||||
model.invoke("Outside middleware")
|
||||
assert "prompt_cache_key" not in client.create.call_args.kwargs
|
||||
assert "extra_headers" not in client.create.call_args.kwargs
|
||||
|
||||
|
||||
async def test_concurrent_agents_keep_affinity_separate() -> None:
|
||||
model = _make_model()
|
||||
ready = asyncio.Event()
|
||||
arrivals = 0
|
||||
|
||||
@wrap_model_call
|
||||
async def wait_for_both_calls(
|
||||
request: ModelRequest,
|
||||
handler: Callable[[ModelRequest], Awaitable[ModelResponse]],
|
||||
) -> ModelResponse:
|
||||
nonlocal arrivals
|
||||
arrivals += 1
|
||||
if arrivals == 2:
|
||||
ready.set()
|
||||
await ready.wait()
|
||||
return await handler(request)
|
||||
|
||||
agent = create_agent(
|
||||
model, middleware=[FireworksPromptCachingMiddleware(), wait_for_both_calls]
|
||||
)
|
||||
await asyncio.wait_for(
|
||||
asyncio.gather(
|
||||
*(
|
||||
agent.ainvoke(
|
||||
{"messages": [HumanMessage(thread_id)]},
|
||||
{"configurable": {"thread_id": thread_id}},
|
||||
)
|
||||
for thread_id in (_THREAD_ID, "other-thread")
|
||||
)
|
||||
),
|
||||
timeout=10,
|
||||
)
|
||||
keys = {
|
||||
call.kwargs["messages"][0]["content"]: call.kwargs["prompt_cache_key"]
|
||||
for call in model.async_client.create.call_args_list
|
||||
}
|
||||
assert keys[_THREAD_ID] == _AFFINITY
|
||||
assert keys["other-thread"] != _AFFINITY
|
||||
await model.ainvoke("Outside middleware")
|
||||
assert "prompt_cache_key" not in model.async_client.create.call_args.kwargs
|
||||
@@ -16,6 +16,7 @@ from fireworks import (
|
||||
APITimeoutError,
|
||||
AuthenticationError,
|
||||
BadRequestError,
|
||||
Fireworks,
|
||||
FireworksError,
|
||||
InternalServerError,
|
||||
NotFoundError,
|
||||
@@ -1497,14 +1498,37 @@ class TestCreateChatResult:
|
||||
class TestExtraHeaders:
|
||||
"""Tests for request-specific HTTP header plumbing."""
|
||||
|
||||
def test_mixed_case_headers_are_not_duplicated_on_the_wire(self) -> None:
|
||||
requests: list[httpx.Request] = []
|
||||
|
||||
def respond(request: httpx.Request) -> httpx.Response:
|
||||
requests.append(request)
|
||||
return httpx.Response(200, json=_success_response())
|
||||
|
||||
with Fireworks(
|
||||
api_key="fake-key",
|
||||
http_client=httpx.Client(transport=httpx.MockTransport(respond)),
|
||||
) as sdk:
|
||||
model = _make_model(
|
||||
client=sdk.chat.completions,
|
||||
async_client=MagicMock(),
|
||||
model_kwargs={"extra_headers": {"X-Session-Affinity": "model"}},
|
||||
)
|
||||
model.invoke("Hello", extra_headers={"x-session-affinity": "request"})
|
||||
|
||||
assert len(requests) == 1
|
||||
assert requests[0].headers.get_list("x-session-affinity") == ["request"]
|
||||
|
||||
def test_extra_headers_forwarded_to_sync_create(self) -> None:
|
||||
model = _make_model()
|
||||
model_headers = {"X-Model": "model", "x-shared": "model"}
|
||||
model = _make_model(model_kwargs={"extra_headers": model_headers})
|
||||
model.client = MagicMock()
|
||||
model.client.create.return_value = {
|
||||
"choices": [{"message": {"role": "assistant", "content": "ok"}}],
|
||||
"usage": {},
|
||||
}
|
||||
headers = {
|
||||
"X-Shared": "request",
|
||||
"x-session-affinity": "thread-123",
|
||||
"x-multi-turn-session-id": "thread-123",
|
||||
}
|
||||
@@ -1512,15 +1536,19 @@ class TestExtraHeaders:
|
||||
model.invoke("Hello", extra_headers=headers)
|
||||
|
||||
call_kwargs = model.client.create.call_args[1]
|
||||
assert call_kwargs["extra_headers"] == headers
|
||||
assert call_kwargs["extra_headers"] == {"X-Model": "model", **headers}
|
||||
assert model.model_kwargs["extra_headers"] == model_headers
|
||||
assert "X-Model" not in headers
|
||||
# `extra_headers` must reach the SDK at the top level, not be folded
|
||||
# into `extra_body` by `_prepare_sdk_kwargs`.
|
||||
assert "extra_headers" not in call_kwargs.get("extra_body", {})
|
||||
|
||||
async def test_extra_headers_forwarded_to_async_create(self) -> None:
|
||||
model = _make_model()
|
||||
model_headers = {"X-Model": "model", "x-shared": "model"}
|
||||
model = _make_model(model_kwargs={"extra_headers": model_headers})
|
||||
model.async_client = MagicMock()
|
||||
headers = {
|
||||
"X-Shared": "request",
|
||||
"x-session-affinity": "thread-123",
|
||||
"x-multi-turn-session-id": "thread-123",
|
||||
}
|
||||
@@ -1536,14 +1564,18 @@ class TestExtraHeaders:
|
||||
await model.ainvoke("Hello", extra_headers=headers)
|
||||
|
||||
call_kwargs = model.async_client.create.call_args[1]
|
||||
assert call_kwargs["extra_headers"] == headers
|
||||
assert call_kwargs["extra_headers"] == {"X-Model": "model", **headers}
|
||||
assert model.model_kwargs["extra_headers"] == model_headers
|
||||
assert "X-Model" not in headers
|
||||
|
||||
def test_extra_headers_forwarded_when_streaming(self) -> None:
|
||||
"""`extra_headers` must also survive the separate streaming param path."""
|
||||
model = _make_model()
|
||||
model_headers = {"X-Model": "model", "x-shared": "model"}
|
||||
model = _make_model(model_kwargs={"extra_headers": model_headers})
|
||||
model.client = MagicMock()
|
||||
model.client.create.return_value = iter(list(_STREAM_CHUNKS))
|
||||
headers = {
|
||||
"X-Shared": "request",
|
||||
"x-session-affinity": "thread-123",
|
||||
"x-multi-turn-session-id": "thread-123",
|
||||
}
|
||||
@@ -1551,7 +1583,9 @@ class TestExtraHeaders:
|
||||
list(model.stream("Hello", extra_headers=headers))
|
||||
|
||||
call_kwargs = model.client.create.call_args[1]
|
||||
assert call_kwargs["extra_headers"] == headers
|
||||
assert call_kwargs["extra_headers"] == {"X-Model": "model", **headers}
|
||||
assert model.model_kwargs["extra_headers"] == model_headers
|
||||
assert "X-Model" not in headers
|
||||
assert "extra_headers" not in call_kwargs.get("extra_body", {})
|
||||
|
||||
|
||||
|
||||
Generated
+238
-65
@@ -447,7 +447,7 @@ name = "exceptiongroup"
|
||||
version = "1.3.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/0b/9f/a65090624ecf468cdca03533906e7c69ed7588582240cfe7cc9e770b50eb/exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88", size = 29749, upload-time = "2025-05-10T17:42:51.123Z" }
|
||||
wheels = [
|
||||
@@ -615,8 +615,8 @@ name = "httpcore2"
|
||||
version = "2.12.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "h11", marker = "python_full_version != '3.12.*' or sys_platform != 'emscripten'" },
|
||||
{ name = "truststore", marker = "python_full_version != '3.12.*' or sys_platform != 'emscripten'" },
|
||||
{ name = "h11" },
|
||||
{ name = "truststore" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/be/ad/f4f0e57345f1870f3e8cb624e058d7eca6e5a27d33bcc3311d9b618734cd/httpcore2-2.12.0.tar.gz", hash = "sha256:9293522bba0aa7c4c8e9e3f040c16575bd8868e155a77fa30c7a9085a5eae648", size = 67548, upload-time = "2026-08-18T13:22:08.211Z" }
|
||||
wheels = [
|
||||
@@ -815,6 +815,71 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942", size = 7595, upload-time = "2024-06-10T19:24:40.698Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain"
|
||||
version = "1.3.18"
|
||||
source = { editable = "../../langchain_v1" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
{ name = "langgraph" },
|
||||
{ name = "pydantic" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-anthropic", marker = "extra == 'anthropic'", editable = "../anthropic" },
|
||||
{ name = "langchain-aws", marker = "extra == 'aws'" },
|
||||
{ name = "langchain-azure-ai", marker = "extra == 'azure-ai'" },
|
||||
{ name = "langchain-baseten", marker = "extra == 'baseten'", specifier = ">=0.2.0" },
|
||||
{ name = "langchain-community", marker = "extra == 'community'" },
|
||||
{ name = "langchain-core", editable = "../../core" },
|
||||
{ name = "langchain-deepseek", marker = "extra == 'deepseek'" },
|
||||
{ name = "langchain-fireworks", marker = "extra == 'fireworks'" },
|
||||
{ name = "langchain-google-genai", marker = "extra == 'google-genai'" },
|
||||
{ name = "langchain-google-vertexai", marker = "extra == 'google-vertexai'" },
|
||||
{ name = "langchain-groq", marker = "extra == 'groq'" },
|
||||
{ name = "langchain-huggingface", marker = "extra == 'huggingface'" },
|
||||
{ name = "langchain-meta", marker = "extra == 'meta'" },
|
||||
{ name = "langchain-mistralai", marker = "extra == 'mistralai'" },
|
||||
{ name = "langchain-ollama", marker = "extra == 'ollama'" },
|
||||
{ name = "langchain-openai", marker = "extra == 'openai'", editable = "../openai" },
|
||||
{ name = "langchain-perplexity", marker = "extra == 'perplexity'" },
|
||||
{ name = "langchain-together", marker = "extra == 'together'" },
|
||||
{ name = "langchain-xai", marker = "extra == 'xai'" },
|
||||
{ name = "langgraph", specifier = ">=1.2.11,<1.3.0" },
|
||||
{ name = "pydantic", specifier = ">=2.7.4,<3.0.0" },
|
||||
]
|
||||
provides-extras = ["community", "anthropic", "openai", "azure-ai", "google-vertexai", "google-genai", "fireworks", "ollama", "together", "mistralai", "huggingface", "groq", "aws", "baseten", "deepseek", "xai", "perplexity", "meta"]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
lint = [{ name = "ruff", specifier = ">=0.15.0,<0.17.0" }]
|
||||
test = [
|
||||
{ name = "blockbuster", specifier = ">=1.5.26,<1.6.0" },
|
||||
{ name = "langchain-openai", editable = "../openai" },
|
||||
{ name = "langchain-tests", editable = "../../standard-tests" },
|
||||
{ name = "pytest", specifier = ">=9.0.3,<10.0.0" },
|
||||
{ name = "pytest-asyncio", specifier = ">=1.3.0,<2.0.0" },
|
||||
{ name = "pytest-benchmark", specifier = ">=5.1.0,<6.0.0" },
|
||||
{ name = "pytest-cov", specifier = ">=4.0.0,<8.0.0" },
|
||||
{ name = "pytest-mock" },
|
||||
{ name = "pytest-socket", specifier = ">=0.6.0,<1.0.0" },
|
||||
{ name = "pytest-watcher", specifier = ">=0.2.6,<1.0.0" },
|
||||
{ name = "pytest-xdist", specifier = ">=3.6.1,<4.0.0" },
|
||||
{ name = "syrupy", specifier = ">=5.0.0,<6.0.0" },
|
||||
{ name = "toml", specifier = ">=0.10.2,<1.0.0" },
|
||||
]
|
||||
test-integration = [
|
||||
{ name = "langchain-text-splitters", editable = "../../text-splitters" },
|
||||
{ name = "langchainhub", specifier = ">=0.1.16,<1.0.0" },
|
||||
{ name = "python-dotenv", specifier = ">=1.0.0,<2.0.0" },
|
||||
{ name = "vcrpy", specifier = ">=8.2.0,<9.0.0" },
|
||||
{ name = "wrapt", specifier = ">=1.15.0,<3.0.0" },
|
||||
]
|
||||
typing = [
|
||||
{ name = "mypy", specifier = ">=2.1.0,<2.2.0" },
|
||||
{ name = "types-toml", specifier = ">=0.10.8.20240310,<1.0.0.0" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.6.5"
|
||||
@@ -897,6 +962,7 @@ lint = [
|
||||
]
|
||||
test = [
|
||||
{ name = "freezegun" },
|
||||
{ name = "langchain" },
|
||||
{ name = "langchain-tests" },
|
||||
{ name = "pytest" },
|
||||
{ name = "pytest-asyncio" },
|
||||
@@ -926,6 +992,7 @@ dev = []
|
||||
lint = [{ name = "ruff", specifier = ">=0.13.1,<0.14.0" }]
|
||||
test = [
|
||||
{ name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
|
||||
{ name = "langchain", editable = "../../langchain_v1" },
|
||||
{ name = "langchain-tests", editable = "../../standard-tests" },
|
||||
{ name = "pytest", specifier = ">=9.0.3,<10.0.0" },
|
||||
{ name = "pytest-asyncio", specifier = ">=1.3.0,<2.0.0" },
|
||||
@@ -998,6 +1065,65 @@ typing = [
|
||||
{ name = "types-pyyaml", specifier = ">=6.0.12.2,<7.0.0.0" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.2.11"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
{ name = "langgraph-checkpoint" },
|
||||
{ name = "langgraph-prebuilt" },
|
||||
{ name = "langgraph-sdk" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "xxhash" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/56/0d/c8e7ee98896659e1b6555db0ab115a9ca899844744645d5d894032bab1d7/langgraph-1.2.11.tar.gz", hash = "sha256:9ecfe11e50d338b34b15cf4d8a442642de103e8ae6971320efba84e4542eb363", size = 725753, upload-time = "2026-08-11T14:00:36.945Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0a/7f/c5c30e4be99ff821029c7ac872a480676bb179c9f3df85ea3f38d13f86d4/langgraph-1.2.11-py3-none-any.whl", hash = "sha256:8bab70de7b2d00b5300fb289bcf38d8b241400f3184c1e95e8ce706fb0e8686b", size = 248854, upload-time = "2026-08-11T14:00:35.494Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
{ name = "ormsgpack" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/83/47/886af6f886f0bff2273164a45f008694e48a96ff3cd25ff0228f2aa9480e/langgraph_checkpoint-4.1.1.tar.gz", hash = "sha256:6c2bdb530c91f91d7d9c1bd100925d0fc4f498d418c17f3587d1526279482a25", size = 184020, upload-time = "2026-05-22T16:57:38.503Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/bd/b4/71425e3e38be92611300b9cc5e46a5bf98ab23f5ea8a75b73d02a2f1413c/langgraph_checkpoint-4.1.1-py3-none-any.whl", hash = "sha256:25d29144b082827218e7bc3f1e9b0566a4bb007895cd6cc26f66a8428739f56e", size = 56212, upload-time = "2026-05-22T16:57:37.203Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.1.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
{ name = "langgraph-checkpoint" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/29/66/ed9b93f56bc17ef22d551892f0ac2b225a97fe0fcf23a511b857f70d590b/langgraph_prebuilt-1.1.0.tar.gz", hash = "sha256:3c579cf6eed2d17f9c157c2d0fcaddcd8688524e7022d3b22b37a3bf4589d528", size = 178833, upload-time = "2026-05-12T03:37:49.332Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/43/3fe1a700b8490ed02679cdbbc8c915eb23a092faf496c9c1118abcd10be3/langgraph_prebuilt-1.1.0-py3-none-any.whl", hash = "sha256:51e311747d755b751d5c6b39b0c1446124d3a7643d2515017e6714b323508fc9", size = 41043, upload-time = "2026-05-12T03:37:48.007Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-sdk"
|
||||
version = "0.4.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
{ name = "langchain-core" },
|
||||
{ name = "langchain-protocol" },
|
||||
{ name = "orjson" },
|
||||
{ name = "websockets" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b4/2b/bd8ac26d4e97f6df88ef05ce5b6a38945a3903e1025d926f4752aa88aa97/langgraph_sdk-0.4.2.tar.gz", hash = "sha256:b88f0f5f6328ac0680d6790614a905b2bcfa257f2276dba4e38f0e86db0aa738", size = 348327, upload-time = "2026-06-01T17:51:19.856Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a0/05/aac507337cceae773c2cc9ab91eb6301963af7aeeb55b4217a00e15aff17/langgraph_sdk-0.4.2-py3-none-any.whl", hash = "sha256:75fa5096c1177ce39c847096a8fe3745ffd480ddb412995f836e9f5f884c43dd", size = 160521, upload-time = "2026-06-01T17:51:18.849Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.12.6"
|
||||
@@ -1545,6 +1671,62 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/82/56/630c9113ec8996778f1f0304b364b091b9a9db5fef5fdc17cca622f5ea24/orjson-3.12.0-cp315-cp315-win_arm64.whl", hash = "sha256:859fc4196855890150bb08e649b30d2c93b249b3e3edd0d3bb2231abf8aa8adc", size = 126754, upload-time = "2026-08-14T16:13:28.962Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ormsgpack"
|
||||
version = "1.12.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/12/0c/f1761e21486942ab9bb6feaebc610fa074f7c5e496e6962dea5873348077/ormsgpack-1.12.2.tar.gz", hash = "sha256:944a2233640273bee67521795a73cf1e959538e0dfb7ac635505010455e53b33", size = 39031, upload-time = "2026-01-18T20:55:28.023Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/93/fa/a91f70829ebccf6387c4946e0a1a109f6ba0d6a28d65f628bedfad94b890/ormsgpack-1.12.2-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:c1429217f8f4d7fcb053523bbbac6bed5e981af0b85ba616e6df7cce53c19657", size = 378262, upload-time = "2026-01-18T20:55:22.284Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/62/3698a9a0c487252b5c6a91926e5654e79e665708ea61f67a8bdeceb022bf/ormsgpack-1.12.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f13034dc6c84a6280c6c33db7ac420253852ea233fc3ee27c8875f8dd651163", size = 203034, upload-time = "2026-01-18T20:55:53.324Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/66/3a/f716f64edc4aec2744e817660b317e2f9bb8de372338a95a96198efa1ac1/ormsgpack-1.12.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:59f5da97000c12bc2d50e988bdc8576b21f6ab4e608489879d35b2c07a8ab51a", size = 210538, upload-time = "2026-01-18T20:55:20.097Z" },
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]
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[[package]]
|
||||
|
||||
Reference in new issue
Block a user