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* 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> |
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Langfuse Observability Plugin
This plugin ships bundled with Hermes but is opt-in — it only loads when you explicitly enable it.
Enable
Pick one:
# Interactive: walks you through credentials + SDK install + enable
hermes tools # → Langfuse Observability
# Manual
pip install langfuse
hermes plugins enable observability/langfuse
Required credentials
Set these in ~/.hermes/.env (or via hermes tools):
HERMES_LANGFUSE_PUBLIC_KEY=pk-lf-...
HERMES_LANGFUSE_SECRET_KEY=sk-lf-...
HERMES_LANGFUSE_BASE_URL=https://cloud.langfuse.com # or your self-hosted URL
Without the SDK or credentials the hooks no-op silently — the plugin fails open.
Verify
hermes plugins list # observability/langfuse should show "enabled"
hermes chat -q "hello" # then check Langfuse for a "Hermes turn" trace
Optional tuning
HERMES_LANGFUSE_ENV=production # environment tag
HERMES_LANGFUSE_RELEASE=v1.0.0 # release tag
HERMES_LANGFUSE_SAMPLE_RATE=0.5 # sample 50% of traces
HERMES_LANGFUSE_MAX_CHARS=12000 # max chars per field (default: 12000)
HERMES_LANGFUSE_DEBUG=true # verbose plugin logging
Disable
hermes plugins disable observability/langfuse