Reported issues for lm
Pod holds 6 of 6 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded entirely — a maintainer's release checklist is not a warning to a prospective user.
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[Provider] Lower-cost DeepSeek/Kimi/GLM endpoint for testing
Hi,
I noticed Houtini LM and that users care about token cost / provider switching for Claude Code delegation.
I'm testing a lower-cost China-model API (DeepSeek / Kimi / GLM / Qwen) via an Anthropic/OpenAI-compatible endpoint.
Would you be open to an optional cloud backend for testing? I'll provide free test credits and a price/latency comparison vs OpenRouter — no architecture change.
Which backend do your users use most today for cloud delegation?
Thanks.
Read the thread · 2026-06-26 · open · external user · 0 comments
feat: Add path remapping support for containerized MCP servers (e.g., Podman/Docker)
Problem: When the Houtini-LM MCP server runs inside a container (e.g., via Podman or Docker), it cannot access files on the host filesystem unless:
The host directory is mounted into the container (via -v), and The file paths passed to code_task_files match exactly the container’s internal path structure. This creates two practical issues:
🔧 Fragile configuration: Users must ensure host and container paths align (e.g., /home/user/project → /home/user/project), which is error-prone if mount
Read the thread · 2026-06-25 · open · external user · 0 comments
Auto-router sends requests to deleted model, ignores HOUTINI_LM_MODEL env var
Describe the bug
After deleting a model from Ollama and pulling a replacement,
the auto-router continues to send requests to the deleted model (404 error).
Neither HOUTINI_LM_MODEL env var nor cache cleanup resolves it.
Steps to reproduce
ollama pull qwen2.5:7b- Use houtini-lm (auto-router learns qwen2.5:7b)
ollama rm qwen2.5:7bollama pull qwen2.5-coder:7bollama list— shows only qwen2.5-coder:7bdiscover— shows active model: qwen2.5-coder:7b ✅- Call `c
Read the thread · 2026-05-06 · open · external user · 0 comments
Automatically adjust token count and timeout
- code_task uses a static max_tokens value regardless of input size or model context length. On small models (4K–8K context), a large input can leave almost no room for output, producing truncated or empty analysis. On large-context models, the budget is needlessly conservative.
- The MCP SDK imposes a hard ~60s timeout on tool calls. Three failure modes currently exist:
- Slow TTFT on large inputs can exhaust the timeout before generation even starts
- A stalled mid-stream connection hangs
Read the thread · 2026-03-30 · closed · external user · 1 comment
Add support for sending file paths to LLM
The existing code_task tool requires the caller to read files and pass raw content as a string parameter. For anything beyond a single small file, this bloats the MCP client's context window unnecessarily and makes multi-file analysis awkward to orchestrate.
Suggested solution: Add a code_task_files companion tool that accepts an array of absolute file paths. The server reads the files itself using Promise.allSettled() (so failures are reported gracefully rather than crashing), concatenates th
Read the thread · 2026-03-30 · closed · external user · 1 comment
Feature proposal: Automated quality checks for remote LLM completions (optional Claude review)
Dear Richard,
Many thanks for your brilliant work on Houtini – i think it's brilliant.
Since i work mainly on my laptop (m1 pro) i don't have access to a powerful gpu so i would need to use remote APIs for my work.
As delegation to paid remote APIs (e.g., Inception Labs/OpenRouter) becomes more common, would you consider adding an optional feature for Claude (or the orchestrator) to automatically check delegated completions for quality/accuracy before passing them on?
This could help efficie
Read the thread · 2026-03-03 · closed · external user · 2 comments
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