Files
api/services/chat/app/tracing.py
Roberto Musso ccba54ac24 fix(tracing): use Langfuse compile_prompt with {{variable}} syntax
- tracing.py: add compile_prompt() that uses Langfuse .compile(**vars)
  for {{variable}} substitution, falls back to Python .format() for
  hardcoded {variable} templates
- agent_runner.py: replace _get_system_prompt().format() with
  tracing.compile_prompt() for batch_file_classifier, batch_processing,
  batch_cloud_processing prompts
- journey.py: replace get_prompt + .format() with compile_prompt()
  for journey_system prompt
- chat tracing.py: add compile_prompt() for parity (chat prompts
  currently have no variables, but ready for future use)
- Remove unused _get_system_prompt helper
2026-03-23 22:39:27 +01:00

305 lines
9.3 KiB
Python

"""Langfuse tracing & prompt management for the Chat Service (v4 SDK).
Provides:
- ``init_langfuse()`` — initialise the singleton client at startup
- ``trace_span()`` — context manager that creates a trace + span
- ``get_langfuse_callback()`` — LangChain callback handler (auto-inherits trace)
- ``get_prompt()`` — fetch a managed prompt from Langfuse by name
- ``flush()`` / ``shutdown()`` — lifecycle management
All functions gracefully degrade to no-ops when Langfuse is not configured,
so the service works identically with or without observability keys.
Requires ``langfuse >= 3.0.0`` (v4 / "Fast Preview" SDK).
"""
from __future__ import annotations
import logging
from contextlib import contextmanager
from typing import Any
from shared.config import settings
logger = logging.getLogger(__name__)
# ── State ────────────────────────────────────────────────────────────────
_initialised: bool = False
_disabled: bool = False
def _is_configured() -> bool:
return bool(settings.LANGFUSE_SECRET_KEY and settings.LANGFUSE_PUBLIC_KEY)
def init_langfuse() -> None:
"""Initialise the Langfuse singleton. Call once at startup."""
global _initialised, _disabled
if _initialised or _disabled:
return
if not _is_configured():
_disabled = True
logger.info("tracing: Langfuse keys not set — tracing disabled")
return
try:
from langfuse import Langfuse
Langfuse(
secret_key=settings.LANGFUSE_SECRET_KEY,
public_key=settings.LANGFUSE_PUBLIC_KEY,
host=settings.LANGFUSE_HOST,
)
_initialised = True
logger.info("tracing: Langfuse client initialised (host=%s)", settings.LANGFUSE_HOST)
except Exception as exc:
_disabled = True
logger.warning("tracing: failed to initialise Langfuse: %s", exc)
def _get_client() -> Any | None:
"""Return the singleton Langfuse client, or *None* if disabled."""
if _disabled:
return None
if not _initialised:
init_langfuse()
if _disabled:
return None
try:
from langfuse import get_client
return get_client()
except Exception:
return None
# ── Null span (no-op when Langfuse is disabled) ─────────────────────────
class _NullSpan:
"""Drop-in replacement when Langfuse is disabled."""
def update(self, **_: Any) -> None: ...
def set_trace_io(self, **_: Any) -> None: ...
def score_trace(self, **_: Any) -> None: ...
# ── Trace context manager ───────────────────────────────────────────────
@contextmanager
def trace_span(
*,
name: str,
user_id: str,
session_id: str | None = None,
trace_id: str | None = None,
input: Any = None,
metadata: dict[str, Any] | None = None,
tags: list[str] | None = None,
):
"""Context manager that creates a Langfuse trace/span.
Yields the span object (or a ``_NullSpan`` if Langfuse is disabled).
A ``CallbackHandler`` created inside this block auto-inherits the trace
context, so there is no need to pass trace IDs manually.
"""
lf = _get_client()
if lf is None:
yield _NullSpan()
return
try:
from langfuse import Langfuse, propagate_attributes
trace_ctx: dict[str, str] = {}
if trace_id is not None:
trace_ctx["trace_id"] = Langfuse.create_trace_id(seed=trace_id)
with lf.start_as_current_observation(
as_type="span",
name=name,
input=input,
metadata=metadata or {},
**({"trace_context": trace_ctx} if trace_ctx else {}),
) as span:
with propagate_attributes(
user_id=user_id,
session_id=session_id,
tags=tags or [],
):
yield span
except Exception as exc:
logger.warning("tracing: trace_span(%s) failed: %s", name, exc)
yield _NullSpan()
# ── LangChain callback handler ──────────────────────────────────────────
def get_langfuse_callback() -> Any | None:
"""Return a LangChain ``CallbackHandler`` that auto-inherits the current trace.
Must be called inside a ``trace_span()`` block for proper linking.
Returns *None* when Langfuse is disabled.
"""
if _disabled and not _initialised:
return None
try:
from langfuse.langchain import CallbackHandler
return CallbackHandler()
except Exception as exc:
logger.warning("tracing: get_langfuse_callback failed: %s", exc)
return None
# ── Prompt management ────────────────────────────────────────────────────
def get_prompt(
name: str,
*,
version: int | None = None,
label: str | None = None,
fallback: str | None = None,
cache_ttl_seconds: int = 300,
) -> str | None:
"""Fetch a managed prompt from Langfuse by name (without variable compilation).
Returns the raw prompt string, or *fallback* if the prompt is not
found or Langfuse is disabled.
"""
lf = _get_client()
if lf is None:
return fallback
try:
kwargs: dict[str, Any] = {
"name": name,
"cache_ttl_seconds": cache_ttl_seconds,
}
if version is not None:
kwargs["version"] = version
if label is not None:
kwargs["label"] = label
prompt = lf.get_prompt(**kwargs)
return prompt.prompt
except Exception as exc:
logger.warning("tracing: get_prompt(%s) failed: %s", name, exc)
return fallback
def compile_prompt(
name: str,
*,
fallback: str,
variables: dict[str, str],
version: int | None = None,
label: str | None = None,
cache_ttl_seconds: int = 300,
) -> str:
"""Fetch a managed prompt from Langfuse and compile it with ``{{variables}}``.
If the prompt exists in Langfuse, uses the SDK's ``.compile(**variables)``
which replaces ``{{key}}`` placeholders. If Langfuse is disabled or the
prompt is not found, falls back to ``fallback.format(**variables)`` (Python
``{key}`` placeholders).
This means:
- Langfuse prompts use ``{{variable}}`` syntax.
- Hardcoded fallback strings use Python ``{variable}`` syntax.
"""
lf = _get_client()
if lf is None:
return fallback.format(**variables)
try:
kwargs: dict[str, Any] = {
"name": name,
"cache_ttl_seconds": cache_ttl_seconds,
}
if version is not None:
kwargs["version"] = version
if label is not None:
kwargs["label"] = label
prompt = lf.get_prompt(**kwargs)
return prompt.compile(**variables)
except Exception as exc:
logger.warning("tracing: compile_prompt(%s) failed, using fallback: %s", name, exc)
return fallback.format(**variables)
def link_prompt_to_trace(
span: Any,
prompt_name: str,
*,
version: int | None = None,
label: str | None = None,
) -> None:
"""Attach prompt metadata to a span/trace."""
lf = _get_client()
if lf is None or isinstance(span, _NullSpan):
return
try:
kwargs: dict[str, Any] = {"name": prompt_name}
if version is not None:
kwargs["version"] = version
if label is not None:
kwargs["label"] = label
prompt = lf.get_prompt(**kwargs)
span.update(metadata={"prompt": {"name": prompt_name, "version": prompt.version}})
except Exception as exc:
logger.warning("tracing: link_prompt_to_trace(%s) failed: %s", prompt_name, exc)
# ── Scoring helper ───────────────────────────────────────────────────────
def score_trace(
trace_id: str,
name: str,
value: float,
*,
comment: str | None = None,
) -> None:
"""Post a score to a trace (e.g. user feedback, latency, quality)."""
lf = _get_client()
if lf is None:
return
try:
lf.create_score(trace_id=trace_id, name=name, value=value, comment=comment)
except Exception as exc:
logger.warning("tracing: score_trace failed: %s", exc)
# ── Shutdown ─────────────────────────────────────────────────────────────
def flush() -> None:
"""Flush pending Langfuse events."""
lf = _get_client()
if lf is not None:
try:
lf.flush()
except Exception as exc:
logger.warning("tracing: flush failed: %s", exc)
def shutdown() -> None:
"""Flush and close the Langfuse client."""
global _initialised, _disabled
lf = _get_client()
if lf is not None:
try:
lf.flush()
lf.shutdown()
except Exception as exc:
logger.warning("tracing: shutdown failed: %s", exc)
_initialised = False
_disabled = False