When the LLM returns ontology attributes as plain strings instead of
dicts, set_ontology() crashes with "TypeError: string indices must be
integers, not 'str'" at attr_def["name"].
Two-layer fix:
1. ontology_generator.py: normalize string attrs to {"name", "type",
"description"} dicts during validation, so downstream code always
receives well-formed structures.
2. graph_builder.py: add isinstance guard as a safety net in
set_ontology() for both entity and edge attribute loops.
Co-Authored-By: Octopus <liyuan851277048@icloud.com>
When the LLM generates a <tool_call> block followed by a self-generated
<tool_result> block in the same response, the fake result must be stripped
before appending to message history. The real tool result will be injected
separately by the system.
This fixes a React Hallucination bug where models could fabricate tool
results that didn't actually come from tool invocations.
The API retrieval layer hardcoded reddit as the default platform in 11+ locations. When a Twitter-only simulation was run, all data retrieval APIs silently returned empty results because they looked for reddit_simulation.db which did not exist. This commit reads the simulation enable_twitter/enable_reddit config to determine the correct default platform.
Fixes#150
Previously, the frontend only checked for 'completed' and 'stopped'
status to stop polling. When the simulation process exited with an
error (runner_status === 'failed'), polling continued indefinitely.
This commit adds handling for the 'failed' status:
- Stop polling when runner_status is 'failed'
- Display error message in the log
- Update UI status to 'error'
- Add i18n translations for simFailed key
fetch_all_nodes already had a max_items guard (default 2000) but
fetch_all_edges had no such safeguard, allowing unbounded memory growth
on graphs with large numbers of edges.
Add _MAX_EDGES = 5000 constant and mirror the same loop-guard pattern
from fetch_all_nodes: cap the result list, emit a warning log, and
break pagination once the limit is reached.
Upgrade the transitive Python dependency NLTK from 3.9.2 to 3.10.0 to address CVE-2025-14009. The contributor title said 3.9.3, but the reviewed lockfile resolves 3.10.0.
HistoryDatabase.vue formatDate() derived the day from UTC
(new Date(dateStr).toISOString().slice(0, 10)) while the sibling
formatTime() uses local hours/minutes. The backend sends naive-local
timestamps (datetime.now().isoformat()), so for any non-UTC client the
two disagree by up to a day -- e.g. for the project's UTC+8 audience a
record created 00:00-08:00 local shows the previous day's date next to
the current time. Derive the date from local components so it matches
the time shown.
The Shanda sponsor logo's alt text was `666ghj%2MiroFish | Shanda`,
missing the `F` from the URL-encoded `/`. Every other badge in both
READMEs uses the correct `666ghj%2FMiroFish`. Bring this one in line
with the rest.
- Add return type annotation (list[str]) to Config.validate()
- Add type annotations (msg: str, -> None) to logger convenience functions
- Add FileParser.is_supported() classmethod for checking file format support
The filter was meant to skip the message just pushed by the caller, but
it matches by content, so a repeated message like "tell me more" also
removes the previous turn from the history sent to the backend.
BaiFu
octo-patch
ygh1254
IagoMelo01
MiroFish Contributor
karesansui
cuixiao
Sami Rusani
harshitanand
orbisai0security
Osamaali313
BaiFu
YunyueLi
lllopic
au-sf