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What AI says about DSPy

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Data as of Oct 15, 2026Based on 29,868 AI responsesReviewed by Dimitry Apollonsky

How we measure

dspy.ai

AI summary

DSPy is a Python framework for building systems by expressing tasks as typed, structured signatures rather than prompts.

Mentioned in

<1%

of 29,868 answers across DSPy’s markets · since Jul 5

The market map

LLM Observability and Evaluation Platforms

Mentioned in

1LangSmithMentioned in 64%Avg. position 4.4
2Arize PhoenixMentioned in 63%Avg. position 57.1
3BraintrustMentioned in 55%Avg. position 4.3
4DeepEvalMentioned in 47%Avg. position 3.9
5LangfuseMentioned in 41%Avg. position 29.3
6RagasMentioned in 40%Avg. position 26.9
7PromptfooMentioned in 27%Avg. position 18.2
10Galileo AIMentioned in 14%Avg. position 39.6
11Confident AIMentioned in 13%Avg. position 5.1
13TruLensMentioned in 9%Avg. position 5.6
14Patronus AIMentioned in 9%Avg. position 69.2
15MLflowMentioned in 7%Avg. position 4.8
16OpenAI EvalsMentioned in 6%Avg. position 6.4
17Weights & Biases WeaveMentioned in 5%Avg. position 6.7

DSPy in AI’s own words

Question: I want to add query re-writing to my RAG pipeline to improve retrieval. What framework has the best built-in query transformation modules?

Google AI ModeSep 29, 2026

DSPy (Best if you want to Optimize Automatically): If you are willing to step outside traditional frameworks, DSPy treats query rewriting not as a static prompt, but as a signature that can be optimized using teleprompters

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How often AI mentions DSPy

Share of answers in LLM Observability and Evaluation Platforms each week · 984 answers since Jul 5

Aug 21SepOct 9

Mentions by AI engine

Each engine’s share of its own answers across DSPy’s markets · since Jul 5

ChatGPT Search<1%
Google AI Mode

Compare DSPy

DSPy vs LlamaIndex

Sources AI cites

dspy.ai 7%Other sites 93%

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Where DSPy ranks in AI

LLM Observability and Evaluation Platforms#259 · <1%<1% of 984 answers in this market

LLM Agent Frameworks and Tooling#50 · 2%2% of 1,199 answers in this market

Prompt Management & Evaluation Platforms#117 · <1%<1% of 599 answers in this market

Question: My goal is to get a root cause analysis when our LLM agent fails a complex task. What's the best LLM tracing and debugging tool?

ChatGPT SearchJul 14, 2026

whether you're using OpenAI Agents SDK, LangGraph, CrewAI, AutoGen, LlamaIndex, DSPy, or a custom orchestration framework

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Question: The problem is, our agent is not reliable at using our internal APIs. What's the best framework for creating robust API tools for an LLM?

Google AI ModeSep 21, 2026

If your internal APIs have complex, nuanced documentation or parameters that standard system prompts fail to convey to the model, DSPy changes the paradigm from "prompt engineering" to "programmatic optimization".

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<1%

Named first0%
2nd or 3rd4%
Later96%

Owned

Topics where AI mentions DSPy

TopicMentioned inRank

Advanced RAG retrieval strategiesLLM Agent Frameworks and Tooling29% of 56 answers on this topic29%#4
Mentioned in
I want to add query re-writing to my RAG pipeline to improve retrieval. What framework has the best built-in query transformation modules?32%
Excerpts where DSPy appeared in the AI's answer
Google AI ModeSep 29, 2026, Google AI Mode
DSPy (Best if you want to Optimize Automatically): If you are willing to step outside traditional frameworks, DSPy treats query rewriting not as a static prompt, but as a signature that can be optimized using teleprompters
Framework for parallel agent executionLLM Agent Frameworks and Tooling2% of 45 answers on this topic2%#28
Prompt version controlPrompt Management & Evaluation Platforms1% of 166 answers on this topic1%#34
Synthetic data generationLLM Observability and Evaluation Platforms1% of 92 answers on this topic1%#49
QuestionMentioned in
I'm looking for a way to automatically generate a large, diverse dataset of prompts for testing my LLM. What is the best synthetic prompt generation tool?Mentioned in 2%

Mentioned in
The problem is, our agent is not reliable at using our internal APIs. What's the best framework for creating robust API tools for an LLM?11%
Excerpts where DSPy appeared in the AI's answer
Google AI ModeSep 21, 2026, Google AI Mode
If your internal APIs have complex, nuanced documentation or parameters that standard system prompts fail to convey to the model, DSPy changes the paradigm from "prompt engineering" to "programmatic optimization".
The problem is, managing the prompts for each step in our agent workflow is messy. What's the best tool for templating and versioning multi-step prompts?5%
Excerpts where DSPy appeared in the AI's answer
Google AI ModeAug 24, 2026, Google AI Mode
Portkey or Ploomber/DSPy (Best for Lightweight / Algorithmic Prompt Optimization)
What’s the most reliable document chunking and citation toolkit?2%
Excerpts where DSPy appeared in the AI's answer
Google AI ModeAug 12, 2026, Google AI Mode
DSPy : If you want programmatic reliability over prompt engineering, DSPy lets you optimize your generation signatures
What is the best tool for creating a knowledge graph by automatically extracting entities and relationships from unstructured text?2%