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Solanki Sumit
22379fe736
* fix(model-routes): harden _probe_endpoint against malformed model-list responses
_probe_endpoint parsed model lists with data.get(...) at four sites without
checking that data is a dict, and built the list with a truthiness-only
filter. A /models (or /api/tags) endpoint returning HTTP 200 with valid but
non-dict JSON ([], "x", null, 123) made data.get(...) raise AttributeError,
and a non-string id like 123 passed the filter and then hit .startswith() /
.lower() in the Z.AI/Kimi curated merge and _is_chat_model(). Both errors are
swallowed by the broad except Exception, but the comprehension dies mid-list
so the ENTIRE probed model list is discarded and the endpoint silently
degrades — masking a misconfigured/non-compliant upstream as "no models".
- Guard each data.get(...) with isinstance(data, dict) so a non-dict body
falls through the existing `or []` default.
- Restrict the OpenAI and Ollama model-list comprehensions to non-empty str
values, protecting the .startswith() merges and both _is_chat_model calls.
- Add an isinstance guard at the top of _is_chat_model (defense in depth for
all four call sites).
No behavior change for well-formed {"data":[...]} / {"models":[...]}
responses. Adds regression tests (non-dict body via caplog, mixed/all
non-string ids, _is_chat_model boundary) that fail before the fix and pass
after.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* refactor(model-routes): extract _openai_model_ids / _ollama_model_names helpers
Per review on #4789: the malformed-response guards were inlined four times in
_probe_endpoint (two OpenAI-id comprehensions, two Ollama-name comprehensions).
Pull each into a small, directly-testable helper so the security-relevant
parsing lives in one place and a future malformed-shape fix doesn't have to be
applied in four spots (CONTRIBUTING flags repeated logic for this reason).
Behavior is unchanged. Adds direct unit tests for both helpers (non-dict body,
non-string ids, non-dict entries, name>model precedence).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
A self-hosted AI workspace for chat, agents, research, documents, email, notes, calendar, and local model workflows.
Quick Start · Setup Guide · Contributing · Roadmap
Quick Start
devis the default branch and gets the newest changes first. Usemainif you want the more curated branch.
git clone https://github.com/pewdiepie-archdaemon/odysseus.git
cd odysseus
cp .env.example .env
docker compose up -d --build
Open http://localhost:7000 when the containers are healthy. The first admin password is printed in docker compose logs odysseus.
Native installs, GPU notes, Windows/macOS instructions, HTTPS, and configuration live in the setup guide.
Features
- Chat + Agents — local/API models, tools, MCP, files, shell, skills, and memory.
- Cookbook — hardware-aware model recommendations, downloads, and serving.
- Deep Research — multi-step web research with source reading and report generation.
- Compare — blind side-by-side model testing and synthesis.
- Documents — writing-first editor with AI edits, suggestions, Markdown, HTML, CSV, and syntax highlighting.
- Email — IMAP/SMTP inbox with triage, tags, summaries, reminders, and reply drafts.
- Notes, Tasks + Calendar — reminders, todos, scheduled agent tasks, and CalDAV sync.
- Extras — gallery/image editor, themes, uploads, web search, presets, sessions, and 2FA.
Demo
A full hover-to-play tour lives on the landing page: docs/index.html.
Contributing
Help is welcome. The best entry points are fresh-install testing, provider setup bugs, mobile/editor polish, docs, and small focused refactors. See CONTRIBUTING.md and ROADMAP.md.
Security
Odysseus is a self-hosted workspace with powerful local tools. Keep auth enabled, keep private data out of Git, and do not expose raw model/service ports publicly. Deployment details are in the setup guide.
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License
AGPL-3.0-or-later -- see LICENSE and ACKNOWLEDGMENTS.md.