LogicGaze review
A security-aware observability platform with tracing, evaluations, cost controls, and scanning.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
LogicGaze is an AI observability platform for production LLM applications and agent workflows. It is aimed at teams that need structured visibility into model calls, agent steps, tools, retrieval, embeddings, and multi-turn sessions. Its web and API access, Python and TypeScript SDKs, and integrations with OpenAI, Anthropic, Azure OpenAI, Google Gemini, Mistral, Cohere, Groq, Amazon Bedrock, DeepSeek, xAI Grok, Ollama, Together AI, Perplexity, Meta Llama, and HuggingFace support a broad provider environment.
The published Free plan costs $0 USD and requires no credit card. It provides access to LLM observability features, including distributed tracing, session views, evaluations, prompt experiment comparison, redaction, security detection, and cost analysis. The plan structure is straightforward for teams that want to begin with core observability without an initial payment commitment. LogicGaze also supports cloud and self-hosted deployment, giving teams different operating models to consider.
Security-aware analysis is the strongest reason to choose LogicGaze. PII detection and redaction, prompt injection and jailbreak detection, and security scanning for SAST, secrets, dependencies, and IaC extend its scope beyond trace collection. Teams can compare provider cost, latency, and errors, set budget alerts, attribute token costs by provider, user, and project, and combine LLM-as-Judge evaluation with human review. Choose LogicGaze when trace analysis, evaluation, cost visibility, and application security belong in one workflow. Teams seeking a narrowly focused tracing tool or framework support beyond SDK-based integration may prefer a more specialized option.
LogicGaze pros and cons
- Where it wins
- Traces LLM calls, agent steps, tools, retrieval, and embeddings
- Combines PII redaction with injection and jailbreak detection
- Tracks provider costs, latency, errors, and token-level attribution
- Where it doesn't
- Framework support is centered on Python and TypeScript SDKs
- Security scanning may exceed the needs of teams seeking only tracing
- Human review workflows require involvement beyond automated evaluation
LogicGaze fact sheet, pricing and score →
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