Embeddings, Rerank & Speech-to-Text (Tanod)
dev.tanod/ml
Tools
Exactly what the server advertised in the scan completed . Effects and capabilities are classified by Squatch from each tool's metadata. Squatch never runs tools.
- Effect: Read 14
- Effect: Write 4
- Effect: Unknown effect 1
Showing 19 of 19 tools
| Details | ||
|---|---|---|
| text_keywords utilpeek: Extract the keywords and keyphrases of a text. For raw frequencies use text_frequency; for names and places use extract_entities.… | Effect: Write | |
| text_sentiment utilpeek: Analyze the sentiment of an English text. For your own labels use classify_zero_shot; for counts use text_stats. Returns VADER se… | Effect: Write | |
| text_similarity mlpeek: Score the semantic similarity of one or up to 50 text pairs. To rank documents against a query use rerank_documents. Returns the co… | Effect: Write | |
| text_to_speech mlpeek: Speak text aloud in 41 voices: English, Spanish, French, Hindi, Italian, Portuguese. For audio to text use transcribe_audio. Return… | Effect: Write | |
| check_text_for_prompt_injection mlpeek: Check text for prompt injection before an agent acts on it. For hidden Unicode use text_unicode_inspect. Returns a `verdict`, a `sc… | Effect: Read | |
| classify_zero_shot mlpeek: Classify a text into 1-10 of your labels. For named entities use extract_entities. Returns scores of 1-10 caller-supplied labels fo… | Effect: Read | |
| detect_language utilpeek: Detect the language of a text. To translate use translate_text. Returns the most likely language (ISO 639-1 and 639-3 code, name,… | Effect: Read | |
| embed_multimodal mlpeek: Create multimodal embeddings: images and text in one vector space. For text only use embed_texts. Returns 768-dim vectors of texts … | Effect: Read | |
| embed_texts mlpeek: Create text embeddings. For images too use embed_multimodal; for pair scores use text_similarity. Returns 384-dimension embeddings … | Effect: Read | |
| extract_entities mlpeek: Extract named entities: people, organisations, places, dates, money, ... For fields of your own schema use extract_json_with_schema… | Effect: Read | |
| extract_json_with_schema mlpeek: Extract JSON from text that always matches your JSON Schema. For fixed entity types use extract_entities. Returns `data`, JSON extr… | Effect: Read | |
| rerank_documents mlpeek: Rerank up to 100 documents against a query. For pair scores use text_similarity. Returns 1-100 documents scored against a query by … | Effect: Read | |
| text_summarize utilpeek: Summarize a text by picking its key sentences. For paper abstracts use paper_digest; for counts use text_stats. Returns an extrac… | Effect: Read | |
| transcribe_audio mlpeek: Speech to text and subtitles: transcribe audio to text, timed segments, SRT and WebVTT. For a podcast episode use transcribe_podcas… | Effect: Read | |
| transcribe_podcast_episode mlpeek: Transcribe a podcast episode from its RSS feed: a window of up to 10 minutes as text, timed segments, SRT. For your own audio use t… | Effect: Read | |
| translate_document pdfpeek: Translate a PDF document, digital or scanned, to English or 14 languages as Markdown. For plain text use translate_text. Returns e… | Effect: Read | |
| translate_speech mlpeek: Translate speech: audio to English or 14 languages, optionally spoken. For a transcript in the spoken language use transcribe_audio… | Effect: Read | |
| translate_text mlpeek: Translate text between English and 14 languages. For a PDF use translate_document; for audio use translate_speech; to only name the… | Effect: Read | |
| denoise_audio mlpeek: Reduce background noise in speech audio. Returns mono 12 kHz WAV/MP3/Ogg speech audio with steady noise reduced by FFmpeg afftdn (n… | Effect: Unknown effect |