hermes-bsd/tests/plugins/test_langfuse_plugin.py

1024 lines
43 KiB
Python
Raw Normal View History

feat(plugins): add bundled observability/langfuse plugin Opt-in Langfuse tracing for Hermes conversations — LLM calls, tool usage, usage/cost breakdown per span. Hooks into pre/post_api_request, pre/post_llm_call, pre/post_tool_call. SDK is optional; missing SDK or credentials renders the plugin inert. Salvaged from PR #16845 by @kshitijk4poor, who wrote the plugin (~875 LOC, 6 hooks, Langfuse usage-details/cost-details normalization, read_file payload summarization). Salvage scope (why this isn't PR #16845 as-authored): - Lives at plugins/observability/langfuse/ (standalone kind, opt-in via plugins.enabled) instead of a new parallel optional-plugins/ directory. Standalone bundled plugins are already opt-in — only their plugin.yaml is scanned at startup; the Python module is not imported unless the user enables it. The premise of optional-plugins/ (avoid import cost for users who don't want it) is already solved by the existing plugin system. - Dropped the triple activation gate (plugins.enabled + plugins.langfuse.enabled + HERMES_LANGFUSE_ENABLED). The Hermes plugin system's own enable/disable is authoritative; runtime credentials gate whether the hook actually traces. - Rewrote _is_enabled() → cached _get_langfuse() with an _INIT_FAILED sentinel. The original called hermes_cli.config.load_config() from every hook invocation (full yaml parse + deep merge + env expansion on every pre/post_tool_call, potentially 100+ times per turn). The cached version reads env once and returns the cached client or None on every subsequent call with zero further work. - hermes tools → Langfuse Observability post-setup adds observability/langfuse to plugins.enabled directly (via _save_enabled_set) instead of going through an install-copy flow. Enable: hermes tools # interactive hermes plugins enable observability/langfuse # manual Required env (set by `hermes tools` or in ~/.hermes/.env): HERMES_LANGFUSE_PUBLIC_KEY HERMES_LANGFUSE_SECRET_KEY HERMES_LANGFUSE_BASE_URL # optional Co-authored-by: kshitijk4poor <kshitijk4poor@gmail.com>
2026-04-28 01:35:41 -07:00
"""Tests for the bundled observability/langfuse plugin."""
from __future__ import annotations
import importlib
fix(langfuse): complete observability fix — trace I/O, tool outputs, placeholder credentials (closes #22342, #22763) (#26320) * fix(langfuse): reject placeholder credentials with one-shot warning When operators leave HERMES_LANGFUSE_PUBLIC_KEY / HERMES_LANGFUSE_SECRET_KEY at a template value like 'placeholder', 'test-key', or 'your-langfuse-key', the Langfuse SDK silently accepts the credentials at construction time and drops every trace at flush time. No warning, no error — just an empty Langfuse dashboard the operator only notices hours later. Add prefix-based validation in _get_langfuse() against the documented 'pk-lf-' / 'sk-lf-' prefixes that Langfuse always issues server-side. Anything else fires a single warning naming the offending env var(s) with a log-safe value preview (full string for short placeholders so the operator knows which template they left in place; truncated for long values so a real secret pasted into the wrong field never hits the log), then short-circuits via the existing _INIT_FAILED cache so the warning fires once per process, not once per hook invocation. The check sits after the 'Langfuse is None' SDK-installed guard so hosts without the optional langfuse SDK don't see misleading 'set real keys' hints when the actionable fix is 'pip install langfuse'. Missing credentials remains the documented opt-out path and stays silent — no log noise for unconfigured installs. Fixes #22763 Fixes #23823 * fix(langfuse): use actual API request messages for generation input on_pre_llm_request previously used the messages kwarg alone, which could be None when Hermes passes the payload via request_messages, conversation_history, or user_message instead. Add _coerce_request_messages to pick the first available list across all variants, falling back to a synthetic user message. Generations now show the real outbound payload rather than an empty input. * fix(langfuse): record tool call outputs in traces Tool observations showed input (arguments) but output was always undefined. Root cause: when tool_call_id is empty, pre_tool_call stored observations under a unique time-based key that post_tool_call could never reconstruct, so every tool span was closed without output by the _finish_trace sweep. Fix pre/post matching by routing empty-tool_call_id tools through a per-name FIFO queue (pending_tools_by_name) instead of the time-based key. Tools with a tool_call_id continue to use the id-keyed dict. Also: - Preserve OpenAI-style nested function shape in serialized tool calls so Langfuse renders name/arguments correctly - Keep name + tool_call_id on role:tool messages for proper pairing - Backfill tool results onto the matching turn_tool_calls entry so the generation's tool-call record carries the result alongside arguments - Coerce request messages from whichever field the runtime provides (request_messages, messages, conversation_history, user_message) * fix(langfuse): salvage-review polish — drop dead is_first_turn, shallow-copy request_messages, real threaded FIFO test Self-review of the combined #22345 + #23831 salvage surfaced three issues worth fixing in the same PR rather than as follow-ups: 1. Drop is_first_turn from the pre_api_request hook. The boolean expression `not bool(conversation_history)` was wrong: conversation_history is reassigned to None mid-run after compression (5 sites in run_agent.py), so the value flips False -> True mid-conversation on every post-compression API call. The langfuse plugin never consumed it, so the kwarg was both misleading AND dead. 2. Replace copy.deepcopy(request_messages) with shallow list() copy. The pre_api_request hook contract discards return values (invoke_hook never writes back to api_kwargs), and the langfuse plugin's _serialize_messages already builds its own snapshot dicts via _safe_value. A deepcopy on every API call would walk every tool result and base64 image — significant overhead for no real isolation benefit. Shallow copy of the outer list protects against later mutations of api_messages without paying for the inner-dict walk. 3. Rename test_empty_tool_call_id_concurrent_fifo_order -> test_empty_tool_call_id_observations_are_fifo_within_tool_name and add a real test_threaded_post_calls_preserve_fifo_under_lock that spawns 8 threads behind a barrier to actually exercise _STATE_LOCK on the pending_tools_by_name queue. The original test was sequential and only validated Python list semantics; this one validates the lock discipline. 4. Fix stale 'Cleared by reset_cache_for_tests()' comment on _INIT_FAILED — that function does not exist. Tests reload the module via sys.modules.pop + importlib.import_module instead. Tests: 37 langfuse plugin tests pass, 658 plugin tests overall pass. --------- Co-authored-by: xxxigm <tuancanhnguyen706@gmail.com> Co-authored-by: Brian Conklin <brian@dralth.com>
2026-05-15 05:04:02 -07:00
import logging
feat(plugins): add bundled observability/langfuse plugin Opt-in Langfuse tracing for Hermes conversations — LLM calls, tool usage, usage/cost breakdown per span. Hooks into pre/post_api_request, pre/post_llm_call, pre/post_tool_call. SDK is optional; missing SDK or credentials renders the plugin inert. Salvaged from PR #16845 by @kshitijk4poor, who wrote the plugin (~875 LOC, 6 hooks, Langfuse usage-details/cost-details normalization, read_file payload summarization). Salvage scope (why this isn't PR #16845 as-authored): - Lives at plugins/observability/langfuse/ (standalone kind, opt-in via plugins.enabled) instead of a new parallel optional-plugins/ directory. Standalone bundled plugins are already opt-in — only their plugin.yaml is scanned at startup; the Python module is not imported unless the user enables it. The premise of optional-plugins/ (avoid import cost for users who don't want it) is already solved by the existing plugin system. - Dropped the triple activation gate (plugins.enabled + plugins.langfuse.enabled + HERMES_LANGFUSE_ENABLED). The Hermes plugin system's own enable/disable is authoritative; runtime credentials gate whether the hook actually traces. - Rewrote _is_enabled() → cached _get_langfuse() with an _INIT_FAILED sentinel. The original called hermes_cli.config.load_config() from every hook invocation (full yaml parse + deep merge + env expansion on every pre/post_tool_call, potentially 100+ times per turn). The cached version reads env once and returns the cached client or None on every subsequent call with zero further work. - hermes tools → Langfuse Observability post-setup adds observability/langfuse to plugins.enabled directly (via _save_enabled_set) instead of going through an install-copy flow. Enable: hermes tools # interactive hermes plugins enable observability/langfuse # manual Required env (set by `hermes tools` or in ~/.hermes/.env): HERMES_LANGFUSE_PUBLIC_KEY HERMES_LANGFUSE_SECRET_KEY HERMES_LANGFUSE_BASE_URL # optional Co-authored-by: kshitijk4poor <kshitijk4poor@gmail.com>
2026-04-28 01:35:41 -07:00
import sys
from pathlib import Path
import pytest
import yaml
REPO_ROOT = Path(__file__).resolve().parents[2]
PLUGIN_DIR = REPO_ROOT / "plugins" / "observability" / "langfuse"
# ---------------------------------------------------------------------------
# Manifest + layout
# ---------------------------------------------------------------------------
class TestManifest:
def test_plugin_directory_exists(self):
assert PLUGIN_DIR.is_dir()
assert (PLUGIN_DIR / "plugin.yaml").exists()
assert (PLUGIN_DIR / "__init__.py").exists()
def test_manifest_fields(self):
data = yaml.safe_load((PLUGIN_DIR / "plugin.yaml").read_text())
assert data["name"] == "langfuse"
assert data["version"]
# All six hooks the plugin implements.
assert set(data["hooks"]) == {
"pre_api_request", "post_api_request",
"pre_llm_call", "post_llm_call",
"pre_tool_call", "post_tool_call",
}
# Required env vars are the user-facing HERMES_ prefixed keys.
assert "HERMES_LANGFUSE_PUBLIC_KEY" in data["requires_env"]
assert "HERMES_LANGFUSE_SECRET_KEY" in data["requires_env"]
# ---------------------------------------------------------------------------
# Plugin discovery: langfuse is opt-in (not loaded unless explicitly enabled).
# This guards against someone accidentally re-introducing a per-hook
# load_config() gate or making the plugin auto-load.
# ---------------------------------------------------------------------------
class TestDiscovery:
def test_plugin_is_discovered_as_standalone_opt_in(self, tmp_path, monkeypatch):
"""Scanner should find the plugin but NOT load it by default."""
from hermes_cli import plugins as plugins_mod
# Isolated HERMES_HOME so we don't read the developer's config.yaml.
home = tmp_path / ".hermes"
home.mkdir()
monkeypatch.setenv("HERMES_HOME", str(home))
monkeypatch.setattr(Path, "home", lambda: tmp_path)
manager = plugins_mod.PluginManager()
manager.discover_and_load()
# observability/langfuse appears in the plugin registry …
loaded = manager._plugins.get("observability/langfuse")
assert loaded is not None, "plugin not discovered"
# … but is not loaded (opt-in default → no config.yaml means nothing enabled)
assert loaded.enabled is False
assert "not enabled" in (loaded.error or "").lower()
# ---------------------------------------------------------------------------
# Runtime gate: _get_langfuse() returns None and caches _INIT_FAILED when
# credentials are missing. Guards against regressing toward the rejected
# per-hook load_config() design.
# ---------------------------------------------------------------------------
class TestRuntimeGate:
def _fresh_plugin(self):
"""Import the plugin module fresh (clears any cached client)."""
mod_name = "plugins.observability.langfuse"
sys.modules.pop(mod_name, None)
return importlib.import_module(mod_name)
def test_get_langfuse_returns_none_without_credentials(self, monkeypatch):
for k in (
"HERMES_LANGFUSE_PUBLIC_KEY", "HERMES_LANGFUSE_SECRET_KEY",
"LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY",
):
monkeypatch.delenv(k, raising=False)
langfuse_plugin = self._fresh_plugin()
assert langfuse_plugin._get_langfuse() is None
def test_get_langfuse_caches_failure_no_config_load(self, monkeypatch):
"""A miss must be cached — no per-hook config.yaml reads, no env re-reads."""
for k in (
"HERMES_LANGFUSE_PUBLIC_KEY", "HERMES_LANGFUSE_SECRET_KEY",
"LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY",
):
monkeypatch.delenv(k, raising=False)
langfuse_plugin = self._fresh_plugin()
# Prime the cache with one call.
assert langfuse_plugin._get_langfuse() is None
# Now block os.environ.get — a correctly-cached plugin must not
# touch env again.
import os
called = {"n": 0}
real_get = os.environ.get
def tracking_get(key, default=None):
if key.startswith(("HERMES_LANGFUSE_", "LANGFUSE_")):
called["n"] += 1
return real_get(key, default)
monkeypatch.setattr(os.environ, "get", tracking_get)
for _ in range(20):
assert langfuse_plugin._get_langfuse() is None
assert called["n"] == 0, (
f"_get_langfuse() re-read env {called['n']} times after cache miss — "
"it should short-circuit via _INIT_FAILED"
)
def test_get_langfuse_does_not_import_hermes_config(self, monkeypatch):
"""The plugin must not re-read config.yaml per hook."""
for k in (
"HERMES_LANGFUSE_PUBLIC_KEY", "HERMES_LANGFUSE_SECRET_KEY",
"LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY",
):
monkeypatch.delenv(k, raising=False)
# Drop any cached import of hermes_cli.config.
sys.modules.pop("hermes_cli.config", None)
langfuse_plugin = self._fresh_plugin()
for _ in range(20):
langfuse_plugin._get_langfuse()
assert "hermes_cli.config" not in sys.modules, (
"langfuse plugin imported hermes_cli.config — regression toward "
"the rejected per-hook load_config() design"
)
# ---------------------------------------------------------------------------
# Hooks are inert when the client is unavailable.
# ---------------------------------------------------------------------------
class TestHooksInert:
def test_hooks_noop_without_client(self, monkeypatch):
"""All 6 hooks must return without raising when _get_langfuse() is None."""
for k in (
"HERMES_LANGFUSE_PUBLIC_KEY", "HERMES_LANGFUSE_SECRET_KEY",
"LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY",
):
monkeypatch.delenv(k, raising=False)
sys.modules.pop("plugins.observability.langfuse", None)
import importlib
mod = importlib.import_module("plugins.observability.langfuse")
# Each hook should just return; no exceptions.
mod.on_pre_llm_call(task_id="t", session_id="s", messages=[{"role": "user", "content": "hi"}])
fix(langfuse): complete observability fix — trace I/O, tool outputs, placeholder credentials (closes #22342, #22763) (#26320) * fix(langfuse): reject placeholder credentials with one-shot warning When operators leave HERMES_LANGFUSE_PUBLIC_KEY / HERMES_LANGFUSE_SECRET_KEY at a template value like 'placeholder', 'test-key', or 'your-langfuse-key', the Langfuse SDK silently accepts the credentials at construction time and drops every trace at flush time. No warning, no error — just an empty Langfuse dashboard the operator only notices hours later. Add prefix-based validation in _get_langfuse() against the documented 'pk-lf-' / 'sk-lf-' prefixes that Langfuse always issues server-side. Anything else fires a single warning naming the offending env var(s) with a log-safe value preview (full string for short placeholders so the operator knows which template they left in place; truncated for long values so a real secret pasted into the wrong field never hits the log), then short-circuits via the existing _INIT_FAILED cache so the warning fires once per process, not once per hook invocation. The check sits after the 'Langfuse is None' SDK-installed guard so hosts without the optional langfuse SDK don't see misleading 'set real keys' hints when the actionable fix is 'pip install langfuse'. Missing credentials remains the documented opt-out path and stays silent — no log noise for unconfigured installs. Fixes #22763 Fixes #23823 * fix(langfuse): use actual API request messages for generation input on_pre_llm_request previously used the messages kwarg alone, which could be None when Hermes passes the payload via request_messages, conversation_history, or user_message instead. Add _coerce_request_messages to pick the first available list across all variants, falling back to a synthetic user message. Generations now show the real outbound payload rather than an empty input. * fix(langfuse): record tool call outputs in traces Tool observations showed input (arguments) but output was always undefined. Root cause: when tool_call_id is empty, pre_tool_call stored observations under a unique time-based key that post_tool_call could never reconstruct, so every tool span was closed without output by the _finish_trace sweep. Fix pre/post matching by routing empty-tool_call_id tools through a per-name FIFO queue (pending_tools_by_name) instead of the time-based key. Tools with a tool_call_id continue to use the id-keyed dict. Also: - Preserve OpenAI-style nested function shape in serialized tool calls so Langfuse renders name/arguments correctly - Keep name + tool_call_id on role:tool messages for proper pairing - Backfill tool results onto the matching turn_tool_calls entry so the generation's tool-call record carries the result alongside arguments - Coerce request messages from whichever field the runtime provides (request_messages, messages, conversation_history, user_message) * fix(langfuse): salvage-review polish — drop dead is_first_turn, shallow-copy request_messages, real threaded FIFO test Self-review of the combined #22345 + #23831 salvage surfaced three issues worth fixing in the same PR rather than as follow-ups: 1. Drop is_first_turn from the pre_api_request hook. The boolean expression `not bool(conversation_history)` was wrong: conversation_history is reassigned to None mid-run after compression (5 sites in run_agent.py), so the value flips False -> True mid-conversation on every post-compression API call. The langfuse plugin never consumed it, so the kwarg was both misleading AND dead. 2. Replace copy.deepcopy(request_messages) with shallow list() copy. The pre_api_request hook contract discards return values (invoke_hook never writes back to api_kwargs), and the langfuse plugin's _serialize_messages already builds its own snapshot dicts via _safe_value. A deepcopy on every API call would walk every tool result and base64 image — significant overhead for no real isolation benefit. Shallow copy of the outer list protects against later mutations of api_messages without paying for the inner-dict walk. 3. Rename test_empty_tool_call_id_concurrent_fifo_order -> test_empty_tool_call_id_observations_are_fifo_within_tool_name and add a real test_threaded_post_calls_preserve_fifo_under_lock that spawns 8 threads behind a barrier to actually exercise _STATE_LOCK on the pending_tools_by_name queue. The original test was sequential and only validated Python list semantics; this one validates the lock discipline. 4. Fix stale 'Cleared by reset_cache_for_tests()' comment on _INIT_FAILED — that function does not exist. Tests reload the module via sys.modules.pop + importlib.import_module instead. Tests: 37 langfuse plugin tests pass, 658 plugin tests overall pass. --------- Co-authored-by: xxxigm <tuancanhnguyen706@gmail.com> Co-authored-by: Brian Conklin <brian@dralth.com>
2026-05-15 05:04:02 -07:00
mod.on_pre_llm_request(task_id="t", session_id="s", api_call_count=1, request_messages=[])
feat(plugins): add bundled observability/langfuse plugin Opt-in Langfuse tracing for Hermes conversations — LLM calls, tool usage, usage/cost breakdown per span. Hooks into pre/post_api_request, pre/post_llm_call, pre/post_tool_call. SDK is optional; missing SDK or credentials renders the plugin inert. Salvaged from PR #16845 by @kshitijk4poor, who wrote the plugin (~875 LOC, 6 hooks, Langfuse usage-details/cost-details normalization, read_file payload summarization). Salvage scope (why this isn't PR #16845 as-authored): - Lives at plugins/observability/langfuse/ (standalone kind, opt-in via plugins.enabled) instead of a new parallel optional-plugins/ directory. Standalone bundled plugins are already opt-in — only their plugin.yaml is scanned at startup; the Python module is not imported unless the user enables it. The premise of optional-plugins/ (avoid import cost for users who don't want it) is already solved by the existing plugin system. - Dropped the triple activation gate (plugins.enabled + plugins.langfuse.enabled + HERMES_LANGFUSE_ENABLED). The Hermes plugin system's own enable/disable is authoritative; runtime credentials gate whether the hook actually traces. - Rewrote _is_enabled() → cached _get_langfuse() with an _INIT_FAILED sentinel. The original called hermes_cli.config.load_config() from every hook invocation (full yaml parse + deep merge + env expansion on every pre/post_tool_call, potentially 100+ times per turn). The cached version reads env once and returns the cached client or None on every subsequent call with zero further work. - hermes tools → Langfuse Observability post-setup adds observability/langfuse to plugins.enabled directly (via _save_enabled_set) instead of going through an install-copy flow. Enable: hermes tools # interactive hermes plugins enable observability/langfuse # manual Required env (set by `hermes tools` or in ~/.hermes/.env): HERMES_LANGFUSE_PUBLIC_KEY HERMES_LANGFUSE_SECRET_KEY HERMES_LANGFUSE_BASE_URL # optional Co-authored-by: kshitijk4poor <kshitijk4poor@gmail.com>
2026-04-28 01:35:41 -07:00
mod.on_post_llm_call(task_id="t", session_id="s", api_call_count=1)
mod.on_pre_tool_call(tool_name="read_file", args={}, task_id="t", session_id="s")
mod.on_post_tool_call(tool_name="read_file", args={}, result="ok", task_id="t", session_id="s")
fix(langfuse): complete observability fix — trace I/O, tool outputs, placeholder credentials (closes #22342, #22763) (#26320) * fix(langfuse): reject placeholder credentials with one-shot warning When operators leave HERMES_LANGFUSE_PUBLIC_KEY / HERMES_LANGFUSE_SECRET_KEY at a template value like 'placeholder', 'test-key', or 'your-langfuse-key', the Langfuse SDK silently accepts the credentials at construction time and drops every trace at flush time. No warning, no error — just an empty Langfuse dashboard the operator only notices hours later. Add prefix-based validation in _get_langfuse() against the documented 'pk-lf-' / 'sk-lf-' prefixes that Langfuse always issues server-side. Anything else fires a single warning naming the offending env var(s) with a log-safe value preview (full string for short placeholders so the operator knows which template they left in place; truncated for long values so a real secret pasted into the wrong field never hits the log), then short-circuits via the existing _INIT_FAILED cache so the warning fires once per process, not once per hook invocation. The check sits after the 'Langfuse is None' SDK-installed guard so hosts without the optional langfuse SDK don't see misleading 'set real keys' hints when the actionable fix is 'pip install langfuse'. Missing credentials remains the documented opt-out path and stays silent — no log noise for unconfigured installs. Fixes #22763 Fixes #23823 * fix(langfuse): use actual API request messages for generation input on_pre_llm_request previously used the messages kwarg alone, which could be None when Hermes passes the payload via request_messages, conversation_history, or user_message instead. Add _coerce_request_messages to pick the first available list across all variants, falling back to a synthetic user message. Generations now show the real outbound payload rather than an empty input. * fix(langfuse): record tool call outputs in traces Tool observations showed input (arguments) but output was always undefined. Root cause: when tool_call_id is empty, pre_tool_call stored observations under a unique time-based key that post_tool_call could never reconstruct, so every tool span was closed without output by the _finish_trace sweep. Fix pre/post matching by routing empty-tool_call_id tools through a per-name FIFO queue (pending_tools_by_name) instead of the time-based key. Tools with a tool_call_id continue to use the id-keyed dict. Also: - Preserve OpenAI-style nested function shape in serialized tool calls so Langfuse renders name/arguments correctly - Keep name + tool_call_id on role:tool messages for proper pairing - Backfill tool results onto the matching turn_tool_calls entry so the generation's tool-call record carries the result alongside arguments - Coerce request messages from whichever field the runtime provides (request_messages, messages, conversation_history, user_message) * fix(langfuse): salvage-review polish — drop dead is_first_turn, shallow-copy request_messages, real threaded FIFO test Self-review of the combined #22345 + #23831 salvage surfaced three issues worth fixing in the same PR rather than as follow-ups: 1. Drop is_first_turn from the pre_api_request hook. The boolean expression `not bool(conversation_history)` was wrong: conversation_history is reassigned to None mid-run after compression (5 sites in run_agent.py), so the value flips False -> True mid-conversation on every post-compression API call. The langfuse plugin never consumed it, so the kwarg was both misleading AND dead. 2. Replace copy.deepcopy(request_messages) with shallow list() copy. The pre_api_request hook contract discards return values (invoke_hook never writes back to api_kwargs), and the langfuse plugin's _serialize_messages already builds its own snapshot dicts via _safe_value. A deepcopy on every API call would walk every tool result and base64 image — significant overhead for no real isolation benefit. Shallow copy of the outer list protects against later mutations of api_messages without paying for the inner-dict walk. 3. Rename test_empty_tool_call_id_concurrent_fifo_order -> test_empty_tool_call_id_observations_are_fifo_within_tool_name and add a real test_threaded_post_calls_preserve_fifo_under_lock that spawns 8 threads behind a barrier to actually exercise _STATE_LOCK on the pending_tools_by_name queue. The original test was sequential and only validated Python list semantics; this one validates the lock discipline. 4. Fix stale 'Cleared by reset_cache_for_tests()' comment on _INIT_FAILED — that function does not exist. Tests reload the module via sys.modules.pop + importlib.import_module instead. Tests: 37 langfuse plugin tests pass, 658 plugin tests overall pass. --------- Co-authored-by: xxxigm <tuancanhnguyen706@gmail.com> Co-authored-by: Brian Conklin <brian@dralth.com>
2026-05-15 05:04:02 -07:00
class TestPayloadSanitization:
def test_safe_value_redacts_base64_data_uri_instead_of_truncating(self):
sys.modules.pop("plugins.observability.langfuse", None)
import importlib
mod = importlib.import_module("plugins.observability.langfuse")
payload = "data:image/png;base64," + ("a" * 20000)
result = mod._safe_value(payload)
assert result == {
"type": "data_uri",
"media_type": "image/png",
"omitted": True,
"length": len(payload),
}
def test_serialize_messages_redacts_data_uri_parts(self):
sys.modules.pop("plugins.observability.langfuse", None)
import importlib
mod = importlib.import_module("plugins.observability.langfuse")
payload = "data:image/jpeg;base64," + ("b" * 20000)
serialized = mod._serialize_messages([
{"role": "user", "content": [{"type": "image_url", "image_url": {"url": payload}}]}
])
assert serialized[0]["content"][0]["image_url"]["url"] == {
"type": "data_uri",
"media_type": "image/jpeg",
"omitted": True,
"length": len(payload),
}
class TestTraceScopeKey:
def _fresh_plugin(self):
mod_name = "plugins.observability.langfuse"
sys.modules.pop(mod_name, None)
return importlib.import_module(mod_name)
def test_trace_key_scopes_by_turn_id_when_available(self):
plugin = self._fresh_plugin()
key_a = plugin._trace_key("task-1", "session-1", turn_id="turn-a")
key_b = plugin._trace_key("task-1", "session-1", turn_id="turn-b")
assert key_a != key_b
assert "turn:turn-a" in key_a
assert "turn:turn-b" in key_b
def test_trace_key_scopes_by_api_request_id_when_turn_missing(self):
plugin = self._fresh_plugin()
key_a = plugin._trace_key("task-1", "session-1", api_request_id="req-a")
key_b = plugin._trace_key("task-1", "session-1", api_request_id="req-b")
assert key_a != key_b
assert "api:req-a" in key_a
assert "api:req-b" in key_b
def test_trace_key_keeps_legacy_shape_without_turn_or_api_id(self):
plugin = self._fresh_plugin()
assert plugin._trace_key("task-1", "session-1") == "task-1"
# ---------------------------------------------------------------------------
# End-to-end collision regression: two turns of ONE gateway session must not
# share trace state. The helper-level tests above prove _trace_key returns
# distinct keys; this drives the real pre/post hooks to prove the keys are
# actually threaded through so the second turn gets its own root trace.
#
# Gateway reality this reproduces:
# * task_id == session_id for every turn (gateway/run.py)
# * turn_id is unique per turn (turn_context.py)
# * api_call_count resets to 1 each turn (conversation_loop.py)
#
# Before the turn/request scoping, _trace_key collapsed to the constant
# session_id. That worked only because _finish_trace pops the key on a clean
# turn end. When turn 1 does NOT finalize (interrupted, tool-only final step,
# or empty final content), its state lingered under session_id and turn 2
# silently merged into turn 1's trace instead of opening its own.
# ---------------------------------------------------------------------------
class TestTurnTraceIsolation:
def _fresh_plugin(self):
sys.modules.pop("plugins.observability.langfuse", None)
return importlib.import_module("plugins.observability.langfuse")
@staticmethod
def _fake_client(started):
"""A minimal Langfuse stand-in that records each root trace opened.
``_start_root_trace`` calls ``create_trace_id`` then opens a root via
``start_as_current_observation(...)`` (a context manager whose
``__enter__`` returns the root span). We record one entry per root
actually opened so the test can count distinct traces.
"""
class _Span:
def update(self, **kw):
pass
def end(self, **kw):
pass
def set_trace_io(self, **kw):
pass
def start_observation(self, **kw):
return _Span()
class _RootCM:
def __enter__(self):
return _Span()
def __exit__(self, *exc):
return False
class _Client:
def create_trace_id(self, seed=None):
return f"trace::{seed}"
def start_as_current_observation(self, **kw):
started.append(kw.get("trace_context", {}).get("trace_id"))
return _RootCM()
def flush(self):
pass
return _Client()
def _run_turn(self, mod, *, session, turn_n, finalize):
"""Drive one turn through the request-scoped hooks the gateway fires."""
task_id = session # gateway sets task_id == session_id
turn_id = f"{session}:{task_id}:turn{turn_n}"
api_call_count = 1 # resets every turn
api_request_id = f"{turn_id}:api:{api_call_count}"
mod.on_pre_llm_request(
task_id=task_id,
session_id=session,
model="m",
provider="p",
api_mode="chat",
api_call_count=api_call_count,
request_messages=[{"role": "user", "content": "hi"}],
turn_id=turn_id,
api_request_id=api_request_id,
)
# finalize=False => leave a tool call on the final response so
# _finish_trace is skipped and the turn's state lingers.
mod.on_post_llm_call(
task_id=task_id,
session_id=session,
model="m",
provider="p",
api_mode="chat",
api_call_count=api_call_count,
assistant_content_chars=5 if finalize else 0,
assistant_tool_call_count=0 if finalize else 1,
usage={"input_tokens": 10, "output_tokens": 5},
turn_id=turn_id,
api_request_id=api_request_id,
)
def test_unfinalized_turn_does_not_capture_next_turn(self, monkeypatch):
"""A turn that never finalizes must not absorb the following turn."""
mod = self._fresh_plugin()
started: list = []
monkeypatch.setattr(mod, "_get_langfuse", lambda: self._fake_client(started))
monkeypatch.setattr(mod, "_end_observation", lambda *a, **k: None)
mod._TRACE_STATE.clear()
# Turn 1 ends without finalizing (its final step still has a tool call).
self._run_turn(mod, session="sess-iso", turn_n=1, finalize=False)
# Turn 2 is a normal, fully finalizing turn in the SAME session.
self._run_turn(mod, session="sess-iso", turn_n=2, finalize=True)
# Each turn opened its OWN root trace. On the pre-fix code the second
# turn reused turn 1's lingering state and only one trace was opened.
assert len(started) == 2
# Turn 2 finalized and was popped by _finish_trace; only turn 1's
# (non-finalizing) state lingers. Assert the surviving key is turn 1's
# and that turn 2 never merged into it — `all(...)` over an empty set
# would pass vacuously, so pin the exact surviving key instead.
keys = list(mod._TRACE_STATE.keys())
assert len(keys) == 1
assert "turn1" in keys[0]
assert "turn2" not in keys[0]
def test_pre_and_post_hooks_share_one_key_within_a_turn(self, monkeypatch):
"""turn_id is preferred over api_request_id so the turn-scoped
post_llm_call (which carries no api_request_id) still resolves to the
same key as the request-scoped pre/post_api_request hooks. If the
ordering were reversed, finalization would silently break."""
mod = self._fresh_plugin()
turn_id = "S:T:turnX"
api_request_id = f"{turn_id}:api:1"
k_pre_api = mod._trace_key("T", "S", turn_id=turn_id, api_request_id=api_request_id)
k_post_api = mod._trace_key("T", "S", turn_id=turn_id, api_request_id=api_request_id)
k_post_turn = mod._trace_key("T", "S", turn_id=turn_id, api_request_id="")
assert k_pre_api == k_post_api == k_post_turn
def test_non_finalizing_turns_do_not_grow_state_unboundedly(self, monkeypatch):
"""Per-turn keys mean a turn that never finalizes leaves a lingering
entry. Without a cap that grows once per non-finalizing turn forever;
the LRU eviction must bound _TRACE_STATE at _MAX_TRACE_STATE.
"""
mod = self._fresh_plugin()
started: list = []
monkeypatch.setattr(mod, "_get_langfuse", lambda: self._fake_client(started))
monkeypatch.setattr(mod, "_end_observation", lambda *a, **k: None)
monkeypatch.setattr(mod, "_MAX_TRACE_STATE", 8)
mod._TRACE_STATE.clear()
# Far more non-finalizing turns than the cap.
for n in range(50):
self._run_turn(mod, session="sess-leak", turn_n=n, finalize=False)
assert len(mod._TRACE_STATE) <= 8
# The survivors are the most-recently-updated turns (LRU eviction).
surviving = sorted(int(k.rsplit("turn", 1)[1]) for k in mod._TRACE_STATE)
assert surviving == list(range(42, 50))
def test_trace_key_strings_unchanged_by_refactor(self):
"""Pin the exact key strings across all task/session/turn/api
combinations so the _scope_prefix extraction can never silently change
a key (keys are matched across hooks; a drift breaks finalization)."""
mod = self._fresh_plugin()
tk = mod._trace_key
assert tk("t", "s", turn_id="u") == "task:t:turn:u"
assert tk("", "s", turn_id="u") == "session:s:turn:u"
assert tk("t", "s", api_request_id="r") == "task:t:api:r"
assert tk("", "s", api_request_id="r") == "session:s:api:r"
assert tk("t", "s") == "t" # legacy: bare task_id
assert tk("", "s") == "session:s"
# turn_id wins over api_request_id when both are present.
assert tk("t", "s", turn_id="u", api_request_id="r") == "task:t:turn:u"
fix(langfuse): complete observability fix — trace I/O, tool outputs, placeholder credentials (closes #22342, #22763) (#26320) * fix(langfuse): reject placeholder credentials with one-shot warning When operators leave HERMES_LANGFUSE_PUBLIC_KEY / HERMES_LANGFUSE_SECRET_KEY at a template value like 'placeholder', 'test-key', or 'your-langfuse-key', the Langfuse SDK silently accepts the credentials at construction time and drops every trace at flush time. No warning, no error — just an empty Langfuse dashboard the operator only notices hours later. Add prefix-based validation in _get_langfuse() against the documented 'pk-lf-' / 'sk-lf-' prefixes that Langfuse always issues server-side. Anything else fires a single warning naming the offending env var(s) with a log-safe value preview (full string for short placeholders so the operator knows which template they left in place; truncated for long values so a real secret pasted into the wrong field never hits the log), then short-circuits via the existing _INIT_FAILED cache so the warning fires once per process, not once per hook invocation. The check sits after the 'Langfuse is None' SDK-installed guard so hosts without the optional langfuse SDK don't see misleading 'set real keys' hints when the actionable fix is 'pip install langfuse'. Missing credentials remains the documented opt-out path and stays silent — no log noise for unconfigured installs. Fixes #22763 Fixes #23823 * fix(langfuse): use actual API request messages for generation input on_pre_llm_request previously used the messages kwarg alone, which could be None when Hermes passes the payload via request_messages, conversation_history, or user_message instead. Add _coerce_request_messages to pick the first available list across all variants, falling back to a synthetic user message. Generations now show the real outbound payload rather than an empty input. * fix(langfuse): record tool call outputs in traces Tool observations showed input (arguments) but output was always undefined. Root cause: when tool_call_id is empty, pre_tool_call stored observations under a unique time-based key that post_tool_call could never reconstruct, so every tool span was closed without output by the _finish_trace sweep. Fix pre/post matching by routing empty-tool_call_id tools through a per-name FIFO queue (pending_tools_by_name) instead of the time-based key. Tools with a tool_call_id continue to use the id-keyed dict. Also: - Preserve OpenAI-style nested function shape in serialized tool calls so Langfuse renders name/arguments correctly - Keep name + tool_call_id on role:tool messages for proper pairing - Backfill tool results onto the matching turn_tool_calls entry so the generation's tool-call record carries the result alongside arguments - Coerce request messages from whichever field the runtime provides (request_messages, messages, conversation_history, user_message) * fix(langfuse): salvage-review polish — drop dead is_first_turn, shallow-copy request_messages, real threaded FIFO test Self-review of the combined #22345 + #23831 salvage surfaced three issues worth fixing in the same PR rather than as follow-ups: 1. Drop is_first_turn from the pre_api_request hook. The boolean expression `not bool(conversation_history)` was wrong: conversation_history is reassigned to None mid-run after compression (5 sites in run_agent.py), so the value flips False -> True mid-conversation on every post-compression API call. The langfuse plugin never consumed it, so the kwarg was both misleading AND dead. 2. Replace copy.deepcopy(request_messages) with shallow list() copy. The pre_api_request hook contract discards return values (invoke_hook never writes back to api_kwargs), and the langfuse plugin's _serialize_messages already builds its own snapshot dicts via _safe_value. A deepcopy on every API call would walk every tool result and base64 image — significant overhead for no real isolation benefit. Shallow copy of the outer list protects against later mutations of api_messages without paying for the inner-dict walk. 3. Rename test_empty_tool_call_id_concurrent_fifo_order -> test_empty_tool_call_id_observations_are_fifo_within_tool_name and add a real test_threaded_post_calls_preserve_fifo_under_lock that spawns 8 threads behind a barrier to actually exercise _STATE_LOCK on the pending_tools_by_name queue. The original test was sequential and only validated Python list semantics; this one validates the lock discipline. 4. Fix stale 'Cleared by reset_cache_for_tests()' comment on _INIT_FAILED — that function does not exist. Tests reload the module via sys.modules.pop + importlib.import_module instead. Tests: 37 langfuse plugin tests pass, 658 plugin tests overall pass. --------- Co-authored-by: xxxigm <tuancanhnguyen706@gmail.com> Co-authored-by: Brian Conklin <brian@dralth.com>
2026-05-15 05:04:02 -07:00
# ---------------------------------------------------------------------------
# Placeholder-credential guard (#23823).
#
# Regression coverage for the silent-failure bug: when an operator leaves
# HERMES_LANGFUSE_PUBLIC_KEY / SECRET_KEY at a template value like
# "placeholder", "test-key", or "your-langfuse-key", the SDK accepts the
# credentials at construction time (it does no server-side validation
# eagerly) but drops every trace at flush time, with no signal in the
# Hermes logs. The fix in `_get_langfuse()` validates the documented
# `pk-lf-` / `sk-lf-` prefix Langfuse always issues, surfaces a one-shot
# warning naming the offending env var(s), and short-circuits via the
# same `_INIT_FAILED` path used for missing credentials so subsequent
# hook invocations don't re-log.
# ---------------------------------------------------------------------------
class _FakeLangfuse:
"""Stand-in for the real :class:`langfuse.Langfuse` so tests don't
need the optional ``langfuse`` SDK installed. The plugin's runtime
gate refuses to proceed past ``if Langfuse is None`` when the SDK
is missing, which would short-circuit before the placeholder check
can fire. Patching ``plugin.Langfuse`` with this class lets the
placeholder validator exercise its full code path."""
instances: list["_FakeLangfuse"] = []
def __init__(self, **kwargs):
self.kwargs = kwargs
_FakeLangfuse.instances.append(self)
class TestPlaceholderKeyDetection:
LOGGER_NAME = "plugins.observability.langfuse"
def _fresh_plugin(self, monkeypatch=None):
mod_name = "plugins.observability.langfuse"
sys.modules.pop(mod_name, None)
mod = importlib.import_module(mod_name)
if monkeypatch is not None:
# Pretend the SDK is installed so `_get_langfuse()` actually
# reaches the placeholder check. Real SDK calls are never
# made because the placeholder/missing-credentials paths
# return before constructing a client.
_FakeLangfuse.instances.clear()
monkeypatch.setattr(mod, "Langfuse", _FakeLangfuse, raising=False)
return mod
@staticmethod
def _clear_env(monkeypatch):
for k in (
"HERMES_LANGFUSE_PUBLIC_KEY", "HERMES_LANGFUSE_SECRET_KEY",
"LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY",
):
monkeypatch.delenv(k, raising=False)
# -- helper unit tests (no SDK stub needed: these don't go through
# _get_langfuse, they exercise the pure-Python helpers directly) ------
def test_redact_key_preview_empty(self, monkeypatch):
self._clear_env(monkeypatch)
plugin = self._fresh_plugin()
assert plugin._redact_key_preview("") == "<empty>"
def test_redact_key_preview_short_value_echoed(self, monkeypatch):
"""Short placeholder strings are echoed in full so the operator
can see exactly which template they forgot to replace."""
self._clear_env(monkeypatch)
plugin = self._fresh_plugin()
assert plugin._redact_key_preview("placeholder") == "'placeholder'"
assert plugin._redact_key_preview("test-key") == "'test-key'"
def test_redact_key_preview_long_value_truncated(self, monkeypatch):
"""If an operator pasted a real secret into the wrong env var the
preview must NOT echo it in full only the leading 6 chars."""
self._clear_env(monkeypatch)
plugin = self._fresh_plugin()
result = plugin._redact_key_preview("sk-lf-abcdefghijklmnop")
assert "abcdefghij" not in result
assert result.startswith("'sk-lf-")
assert result.endswith("...'")
def test_validate_langfuse_key_accepts_documented_prefix(self, monkeypatch):
self._clear_env(monkeypatch)
plugin = self._fresh_plugin()
assert plugin._validate_langfuse_key(
"HERMES_LANGFUSE_PUBLIC_KEY", "pk-lf-real-public-xyz"
) is None
assert plugin._validate_langfuse_key(
"HERMES_LANGFUSE_SECRET_KEY", "sk-lf-real-secret-xyz"
) is None
def test_validate_langfuse_key_rejects_wrong_prefix(self, monkeypatch):
self._clear_env(monkeypatch)
plugin = self._fresh_plugin()
msg = plugin._validate_langfuse_key(
"HERMES_LANGFUSE_PUBLIC_KEY", "placeholder"
)
assert msg is not None
assert "HERMES_LANGFUSE_PUBLIC_KEY" in msg
assert "pk-lf-" in msg
def test_validate_langfuse_key_unknown_name_passes(self, monkeypatch):
"""Defensive: an env var with no registered prefix is trusted."""
self._clear_env(monkeypatch)
plugin = self._fresh_plugin()
assert plugin._validate_langfuse_key("HERMES_LANGFUSE_BASE_URL", "anything") is None
# -- end-to-end _get_langfuse() behaviour --------------------------------
# These tests pass `monkeypatch` to _fresh_plugin() so the helper can
# stub out `Langfuse` (the optional SDK). Without that, every call
# short-circuits at `if Langfuse is None` before reaching the
# placeholder validator — masking the very behaviour we're testing.
def test_placeholder_public_key_warns_and_skips(self, monkeypatch, caplog):
self._clear_env(monkeypatch)
monkeypatch.setenv("HERMES_LANGFUSE_PUBLIC_KEY", "placeholder")
monkeypatch.setenv("HERMES_LANGFUSE_SECRET_KEY", "sk-lf-real-secret-xyz")
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
assert plugin._get_langfuse() is None
text = caplog.text
assert "HERMES_LANGFUSE_PUBLIC_KEY" in text
assert "'placeholder'" in text
assert "pk-lf-" in text
# The valid secret value must NOT appear (the var NAME does, in
# the "or unset ..." hint, but the value preview shouldn't).
assert "'sk-lf-" not in text
# Never constructed the SDK client — short-circuited before that.
assert _FakeLangfuse.instances == []
def test_placeholder_secret_key_warns_and_skips(self, monkeypatch, caplog):
self._clear_env(monkeypatch)
monkeypatch.setenv("HERMES_LANGFUSE_PUBLIC_KEY", "pk-lf-real-public-xyz")
monkeypatch.setenv("HERMES_LANGFUSE_SECRET_KEY", "test-key")
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
assert plugin._get_langfuse() is None
text = caplog.text
assert "HERMES_LANGFUSE_SECRET_KEY" in text
assert "'test-key'" in text
assert "sk-lf-" in text
# The valid public value must NOT appear.
assert "'pk-lf-" not in text
assert _FakeLangfuse.instances == []
def test_both_placeholders_one_warning_with_both_keys(self, monkeypatch, caplog):
self._clear_env(monkeypatch)
monkeypatch.setenv("HERMES_LANGFUSE_PUBLIC_KEY", "placeholder")
monkeypatch.setenv("HERMES_LANGFUSE_SECRET_KEY", "placeholder")
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
assert plugin._get_langfuse() is None
warnings = [r for r in caplog.records if r.levelname == "WARNING"
and r.name == self.LOGGER_NAME]
assert len(warnings) == 1, (
f"Expected a single combined warning; got {len(warnings)}:\n"
+ "\n".join(r.getMessage() for r in warnings)
)
text = warnings[0].getMessage()
assert "HERMES_LANGFUSE_PUBLIC_KEY" in text
assert "HERMES_LANGFUSE_SECRET_KEY" in text
def test_repeated_calls_do_not_re_warn(self, monkeypatch, caplog):
"""The cached ``_INIT_FAILED`` sentinel must short-circuit
subsequent calls so each hook invocation isn't a fresh log
line otherwise a busy gateway will spam the operator's
terminal."""
self._clear_env(monkeypatch)
monkeypatch.setenv("HERMES_LANGFUSE_PUBLIC_KEY", "placeholder")
monkeypatch.setenv("HERMES_LANGFUSE_SECRET_KEY", "placeholder")
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
for _ in range(15):
assert plugin._get_langfuse() is None
warnings = [r for r in caplog.records if r.levelname == "WARNING"
and r.name == self.LOGGER_NAME]
assert len(warnings) == 1, (
f"Warning fired {len(warnings)} times across 15 calls; "
"expected 1 (cached via _INIT_FAILED)"
)
@pytest.mark.parametrize("placeholder", [
"placeholder",
"test-key",
"your-langfuse-key",
"change-me",
"xxx",
"dummy-key-here",
"<your-key>",
"REPLACE_ME",
])
def test_common_placeholders_detected(self, monkeypatch, caplog, placeholder):
"""A grab-bag of values that real-world ``.env.example`` templates
use as stand-ins. Any of them in either key must trip the guard."""
self._clear_env(monkeypatch)
monkeypatch.setenv("HERMES_LANGFUSE_PUBLIC_KEY", placeholder)
monkeypatch.setenv("HERMES_LANGFUSE_SECRET_KEY", "sk-lf-real-secret-xyz")
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
assert plugin._get_langfuse() is None
assert "HERMES_LANGFUSE_PUBLIC_KEY" in caplog.text
def test_legacy_LANGFUSE_PUBLIC_KEY_also_validated(self, monkeypatch, caplog):
"""The plugin reads both the canonical HERMES_-prefixed env var and
the legacy bare ``LANGFUSE_PUBLIC_KEY``. The validator must run on
whichever value ``_get_langfuse()`` actually consumed."""
self._clear_env(monkeypatch)
monkeypatch.setenv("LANGFUSE_PUBLIC_KEY", "placeholder")
monkeypatch.setenv("LANGFUSE_SECRET_KEY", "sk-lf-real-secret-xyz")
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
assert plugin._get_langfuse() is None
# Warning names the canonical user-facing env var (the bare
# LANGFUSE_PUBLIC_KEY is a backwards-compat alias for the
# HERMES_-prefixed one — operators set the HERMES_-prefixed one).
assert "HERMES_LANGFUSE_PUBLIC_KEY" in caplog.text
assert "'placeholder'" in caplog.text
def test_missing_credentials_still_skip_silently(self, monkeypatch, caplog):
"""Missing-creds is the documented opt-out path (operator hasn't
configured the plugin yet) it must remain SILENT. Regression
guard against the placeholder validator accidentally running on
empty values and re-introducing log noise for unconfigured
installs."""
self._clear_env(monkeypatch)
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
assert plugin._get_langfuse() is None
warnings = [r for r in caplog.records if r.levelname == "WARNING"
and r.name == self.LOGGER_NAME]
assert warnings == []
def test_sdk_not_installed_still_skips_silently(self, monkeypatch, caplog):
"""If the langfuse SDK isn't installed at all, the placeholder
check should never run there's nothing the operator can do
about a credential mismatch when the package is missing, and
re-warning here would dilute the actually-actionable SDK-missing
signal upstream. The ``Langfuse is None`` guard at the top of
``_get_langfuse`` already handles this; this test pins that
behaviour."""
self._clear_env(monkeypatch)
monkeypatch.setenv("HERMES_LANGFUSE_PUBLIC_KEY", "placeholder")
monkeypatch.setenv("HERMES_LANGFUSE_SECRET_KEY", "placeholder")
# NO monkeypatch on Langfuse here — falls back to whatever the
# plugin imported at module load (None if SDK absent).
plugin = self._fresh_plugin()
monkeypatch.setattr(plugin, "Langfuse", None, raising=False)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
assert plugin._get_langfuse() is None
warnings = [r for r in caplog.records if r.levelname == "WARNING"
and r.name == self.LOGGER_NAME]
assert warnings == []
def test_valid_prefixes_do_not_trigger_placeholder_warning(self, monkeypatch, caplog):
"""Real Langfuse keys (``pk-lf-…`` / ``sk-lf-…``) must pass the
guard and proceed to SDK init. We stub the SDK constructor with
a recording fake so the assertion can confirm BOTH that the
placeholder warning didn't fire AND that the client was actually
constructed the latter is the success signal the bug report
wanted."""
self._clear_env(monkeypatch)
monkeypatch.setenv("HERMES_LANGFUSE_PUBLIC_KEY", "pk-lf-real-public-xyz")
monkeypatch.setenv("HERMES_LANGFUSE_SECRET_KEY", "sk-lf-real-secret-xyz")
plugin = self._fresh_plugin(monkeypatch)
with caplog.at_level(logging.WARNING, logger=self.LOGGER_NAME):
client = plugin._get_langfuse()
assert isinstance(client, _FakeLangfuse)
assert client.kwargs["public_key"] == "pk-lf-real-public-xyz"
assert client.kwargs["secret_key"] == "sk-lf-real-secret-xyz"
assert "placeholders" not in caplog.text.lower(), (
f"Valid Langfuse keys tripped the placeholder guard: {caplog.text!r}"
)
class TestRequestMessageCoercion:
def test_prefers_request_messages_then_messages_then_history_then_user_message(self):
sys.modules.pop("plugins.observability.langfuse", None)
mod = importlib.import_module("plugins.observability.langfuse")
assert mod._coerce_request_messages(
request_messages=[{"role": "system", "content": "s"}],
messages=[{"role": "user", "content": "m"}],
conversation_history=[{"role": "user", "content": "h"}],
user_message="u",
) == [{"role": "system", "content": "s"}]
assert mod._coerce_request_messages(
messages=[{"role": "user", "content": "m"}],
conversation_history=[{"role": "user", "content": "h"}],
user_message="u",
) == [{"role": "user", "content": "m"}]
assert mod._coerce_request_messages(
conversation_history=[{"role": "user", "content": "h"}],
user_message="u",
) == [{"role": "user", "content": "h"}]
assert mod._coerce_request_messages(user_message="u") == [{"role": "user", "content": "u"}]
class TestToolCallOutputBackfill:
def test_post_tool_call_backfills_matching_turn_tool_call_output(self, monkeypatch):
sys.modules.pop("plugins.observability.langfuse", None)
mod = importlib.import_module("plugins.observability.langfuse")
observation = object()
state = mod.TraceState(trace_id="trace-1", root_ctx=None, root_span=None)
state.tools["call-1"] = observation
state.turn_tool_calls.append({
"id": "call-1",
"type": "function",
"name": "web_extract",
"arguments": '{"urls": ["https://example.com"]}',
"function": {
"name": "web_extract",
"arguments": '{"urls": ["https://example.com"]}',
},
})
task_key = mod._trace_key("task-1", "session-1")
monkeypatch.setitem(mod._TRACE_STATE, task_key, state)
ended = {}
def fake_end_observation(obs, *, output=None, metadata=None, usage_details=None, cost_details=None):
ended["observation"] = obs
ended["output"] = output
ended["metadata"] = metadata
monkeypatch.setattr(mod, "_end_observation", fake_end_observation)
mod.on_post_tool_call(
tool_name="web_extract",
args={"urls": ["https://example.com"]},
result='{"results": [{"url": "https://example.com", "content": "Example Domain"}]}',
task_id="task-1",
session_id="session-1",
tool_call_id="call-1",
)
assert ended["observation"] is observation
assert state.turn_tool_calls[0]["output"] == ended["output"]
assert state.turn_tool_calls[0]["function"]["output"] == ended["output"]
assert state.turn_tool_calls[0]["output"] == {
"results": [{"url": "https://example.com", "content": "Example Domain"}]
}
def test_serialize_messages_keeps_tool_name_and_call_id(self):
sys.modules.pop("plugins.observability.langfuse", None)
mod = importlib.import_module("plugins.observability.langfuse")
messages = [{
"role": "tool",
"name": "web_extract",
"tool_call_id": "call-1",
"content": '{"ok": true}',
}]
assert mod._serialize_messages(messages) == [{
"role": "tool",
"name": "web_extract",
"tool_call_id": "call-1",
"content": {"ok": True},
}]
def test_serialize_tool_calls_emits_openai_style_function_shape(self):
sys.modules.pop("plugins.observability.langfuse", None)
mod = importlib.import_module("plugins.observability.langfuse")
class _Fn:
name = "web_extract"
arguments = '{"urls": ["https://example.com"]}'
class _ToolCall:
id = "call-1"
type = "function"
function = _Fn()
assert mod._serialize_tool_calls([_ToolCall()]) == [{
"id": "call-1",
"type": "function",
"name": "web_extract",
"arguments": '{"urls": ["https://example.com"]}',
"function": {
"name": "web_extract",
"arguments": '{"urls": ["https://example.com"]}',
},
}]
class TestToolObservationKeying:
"""Tests for pre/post tool_call observation matching when tool_call_id is absent."""
def _make_mod(self):
sys.modules.pop("plugins.observability.langfuse", None)
return importlib.import_module("plugins.observability.langfuse")
def test_empty_tool_call_id_single_tool_sets_output(self, monkeypatch):
mod = self._make_mod()
obs = object()
state = mod.TraceState(trace_id="t", root_ctx=None, root_span=None)
state.pending_tools_by_name.setdefault("my_tool", []).append(obs)
task_key = mod._trace_key("task-1", "sess-1")
monkeypatch.setitem(mod._TRACE_STATE, task_key, state)
ended = {}
def fake_end(o, *, output=None, metadata=None, **kw):
ended["obs"] = o
ended["output"] = output
monkeypatch.setattr(mod, "_end_observation", fake_end)
mod.on_post_tool_call(
tool_name="my_tool",
args={},
result='{"ok": true}',
task_id="task-1",
session_id="sess-1",
tool_call_id="",
)
assert ended["obs"] is obs
assert ended["output"] == {"ok": True}
assert state.pending_tools_by_name.get("my_tool") is None
def test_empty_tool_call_id_observations_are_fifo_within_tool_name(self, monkeypatch):
"""Two queued observations are consumed in FIFO order so the first
post hook gets the first observation's output, not the second.
Sequential-on-one-thread coverage; the real concurrent case is
guarded by ``_STATE_LOCK`` around every read-modify-write on
``pending_tools_by_name`` and is exercised in
``test_threaded_post_calls_preserve_fifo_under_lock`` below.
"""
mod = self._make_mod()
obs_a, obs_b = object(), object()
state = mod.TraceState(trace_id="t", root_ctx=None, root_span=None)
state.pending_tools_by_name["web_extract"] = [obs_a, obs_b]
task_key = mod._trace_key("task-1", "sess-1")
monkeypatch.setitem(mod._TRACE_STATE, task_key, state)
calls = []
def fake_end(o, *, output=None, metadata=None, **kw):
calls.append((o, output))
monkeypatch.setattr(mod, "_end_observation", fake_end)
mod.on_post_tool_call(
tool_name="web_extract", args={}, result='{"val": "a"}',
task_id="task-1", session_id="sess-1", tool_call_id="",
)
mod.on_post_tool_call(
tool_name="web_extract", args={}, result='{"val": "b"}',
task_id="task-1", session_id="sess-1", tool_call_id="",
)
assert calls[0] == (obs_a, {"val": "a"})
assert calls[1] == (obs_b, {"val": "b"})
assert state.pending_tools_by_name.get("web_extract") is None
def test_threaded_post_calls_preserve_fifo_under_lock(self, monkeypatch):
"""The actual concurrency contract: when 8 threads race to drain
the pending queue, no observation is consumed twice and none is
lost. Validates ``_STATE_LOCK`` discipline, not Python list
semantics."""
import threading
mod = self._make_mod()
n = 8
observations = [object() for _ in range(n)]
state = mod.TraceState(trace_id="t", root_ctx=None, root_span=None)
state.pending_tools_by_name["web_extract"] = list(observations)
task_key = mod._trace_key("task-thr", "sess-thr")
monkeypatch.setitem(mod._TRACE_STATE, task_key, state)
recorded: list = []
lock = threading.Lock()
def fake_end(o, *, output=None, metadata=None, **kw):
with lock:
recorded.append(o)
monkeypatch.setattr(mod, "_end_observation", fake_end)
barrier = threading.Barrier(n)
def worker():
barrier.wait()
mod.on_post_tool_call(
tool_name="web_extract", args={}, result='{"ok": true}',
task_id="task-thr", session_id="sess-thr", tool_call_id="",
)
threads = [threading.Thread(target=worker) for _ in range(n)]
for t in threads:
t.start()
for t in threads:
t.join()
# Every observation was consumed exactly once; queue is empty.
assert len(recorded) == n
assert set(map(id, recorded)) == set(map(id, observations))
assert state.pending_tools_by_name.get("web_extract") is None
def test_explicit_tool_call_id_uses_tools_dict(self, monkeypatch):
"""When tool_call_id is present, pending_tools_by_name is not touched."""
mod = self._make_mod()
obs = object()
state = mod.TraceState(trace_id="t", root_ctx=None, root_span=None)
state.tools["call-99"] = obs
task_key = mod._trace_key("task-1", "sess-1")
monkeypatch.setitem(mod._TRACE_STATE, task_key, state)
ended = {}
def fake_end(o, *, output=None, metadata=None, **kw):
ended["obs"] = o
ended["output"] = output
monkeypatch.setattr(mod, "_end_observation", fake_end)
mod.on_post_tool_call(
tool_name="my_tool", args={}, result='{"status": "done"}',
task_id="task-1", session_id="sess-1", tool_call_id="call-99",
)
assert ended["obs"] is obs
assert ended["output"] == {"status": "done"}
assert not state.tools
class TestUsageFromSanitizedResponse:
"""Regression: ``post_api_request`` delivers ``response`` as a sanitized
dict (no ``.usage`` attribute) plus a separate ``usage`` summary dict. The
post-call handler must read the ``usage`` dict instead of treating the dict
response as a usage-bearing object and dropping all token/cost data."""
def _setup(self, mod, monkeypatch):
# Active client so on_post_llm_call does not early-return.
monkeypatch.setattr(mod, "_get_langfuse", lambda: object())
observation = object()
state = mod.TraceState(trace_id="trace-1", root_ctx=None, root_span=None)
state.generations[mod._request_key(1)] = observation
monkeypatch.setitem(mod._TRACE_STATE, mod._trace_key("task-1", "session-1"), state)
captured = {}
def fake_end_observation(obs, *, output=None, metadata=None, usage_details=None, cost_details=None):
captured["usage_details"] = usage_details
monkeypatch.setattr(mod, "_end_observation", fake_end_observation)
return captured
def test_sanitized_dict_response_uses_usage_dict(self, monkeypatch):
sys.modules.pop("plugins.observability.langfuse", None)
mod = importlib.import_module("plugins.observability.langfuse")
captured = self._setup(mod, monkeypatch)
# A plain dict has no ``.usage`` attribute — mirrors post_api_request.
mod.on_post_llm_call(
task_id="task-1",
session_id="session-1",
api_call_count=1,
model="gemini-3-flash-preview",
response={"model": "gemini-3-flash-preview", "usage": {"input_tokens": 100, "output_tokens": 20}},
usage={"input_tokens": 100, "output_tokens": 20},
assistant_content_chars=42,
)
# Before the fix the dict response shadowed the usage dict and tokens
# were lost (usage_details == {}).
assert captured["usage_details"] == {"input": 100, "output": 20}
def test_real_response_object_with_usage_still_used(self, monkeypatch):
sys.modules.pop("plugins.observability.langfuse", None)
mod = importlib.import_module("plugins.observability.langfuse")
captured = self._setup(mod, monkeypatch)
# A response object that genuinely carries usage must still take the
# response-object path (post_llm_call / legacy behavior).
seen = {}
def fake_usage_and_cost(resp, **_):
seen["resp"] = resp
return {"input": 7, "output": 3}, {}
monkeypatch.setattr(mod, "_usage_and_cost", fake_usage_and_cost)
class _Resp:
usage = {"prompt_tokens": 7, "completion_tokens": 3}
resp = _Resp()
mod.on_post_llm_call(
task_id="task-1",
session_id="session-1",
api_call_count=1,
model="gemini-3-flash-preview",
response=resp,
usage={"input_tokens": 999, "output_tokens": 999},
assistant_content_chars=42,
)
assert seen["resp"] is resp
assert captured["usage_details"] == {"input": 7, "output": 3}