npx skills add ...
npx skills add deepgram/deepgram-python-sdk --skill deepgram-python-text-intelligence
npx skills add deepgram/deepgram-python-sdk --skill deepgram-python-text-intelligence
Use when writing or reviewing Python code in this repo that calls Deepgram Text Intelligence / Read (`/v1/read`) for sentiment, summarization, topic detection, and intent recognition on text input. Covers `client.read.v1.text.analyze(...)` with body `text` or `url`. Use `deepgram-python-audio-intelligence` when the source is audio instead of text. Triggers include "read API", "text intelligence", "analyze text", "sentiment", "summarize text", "topics", "intents", "read.v1".
Analyze plain text (or a hosted text URL) for sentiment, summarization, topics, and intents via /v1/read.
Use a different skill when:
deepgram-python-audio-intelligence (same analytics, applied at transcription time).Header: Authorization: Token <api_key>.
Pass request={"text": "..."} for raw text OR request={"url": "https://..."} for a hosted plain-text document.
| Param | Type | Notes |
|---|---|---|
request | {"text": str} or {"url": str} | One of these is required |
language | str | Required for most analytics. English only today. |
sentiment | bool | Per-segment + average sentiment |
summarize | bool | /v1/read accepts boolean only. The SDK type alias TextAnalyzeRequestSummarize = typing.Union[typing.Literal["v2"], typing.Any] is shared with Listen and is broader than what Read actually supports — the analyze method docstring states: "For Read API, accepts boolean only." (Listen's summarize="v2" is a different product — see deepgram-python-audio-intelligence.) |
topics | bool | Topic detection per segment |
intents | bool | Intent recognition per segment |
custom_topic / custom_topic_mode | list[str] / str | User-defined topics |
custom_intent / custom_intent_mode | list[str] / str | User-defined intents |
callback, callback_method, tag | Async callback + metadata |
See reference.md → "Read V1 Text" for full shape. Request body model: ReadV1RequestParams.
reference.md — "Read V1 Text"./llmstxt/developers_deepgram_llms_txt.Token auth, not Bearer.summarize on /v1/read is boolean only. Pass True or False. Do not pass "v2" on /v1/read — that's a Listen-only option (see deepgram-python-audio-intelligence). The SDK type Union[Literal["v2"], Any] is shared with Listen and wider than Read actually accepts; the analyze docstring clarifies: "For Read API, accepts boolean only." The generated wire test passing summarize="v2" against a mock server is a Fern artifact and does not indicate real /v1/read support.language is required for the gated analytics features above.request=, not query parameters. Don't confuse with /v1/listen which takes audio as the body.custom_topic_mode="extended", "strict") or they are ignored.examples/40-text-intelligence.pytests/wire/test_read_v1_text.pyFor cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills:
This SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).
from deepgram import AsyncDeepgramClient
client = AsyncDeepgramClient()
response = await client.read.v1.text.analyze(request={"text": "..."}, language="en", sentiment=True)response.results.summary.text
response.results.sentiments.segments[]
response.results.sentiments.average
response.results.topics.segments[]
response.results.intents.segments[]
response.metadatanpx skills add deepgram/skills