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Observyze
$79/moStarting price
0Popularity
About Observyze
Observyze provides runtime control and observability for production AI agents by tracing every LLM call, enforcing execution budgets, and preventing runaway agent behavior. It captures detailed traces of agent workflows including prompts, tool calls, and model responses, enabling teams to debug complex agentic chains in a searchable timeline. The platform supports both in-process SDK instrumentation and a proxy gateway that can actively block requests, enforce circuit breakers, and apply input policies to stop prompt injections before they reach the provider. Runtime policies include configurable execution budgets, circuit breakers, and automated guardrails that trigger alerts or block subsequent calls when thresholds are exceeded. Cost attribution tracks token spend by model, project, and request context, while asynchronous output evaluations record hallucination and safety signals for later policy decisions. Observyze integrates with major LLM providers and frameworks such as OpenAI, Anthropic, Gemini, LangChain, and Vercel AI SDK, offering two-line integration via SDK or proxy deployment.
Key features
- Real-time LLM observability with full trace capture
- Execution budget and circuit breaker enforcement
- Input policy guardrails for prompt injection prevention
- Cost attribution by model, project, and request context
- Asynchronous output evaluations for hallucination and safety signals
- SDK and proxy deployment options
- Integration with OpenAI, Anthropic, Gemini, and other providers
- Request-scoped runtime policy enforcement
Use cases
- Preventing runaway agent loops that cause unexpected API spend
- Debugging complex agent workflows with detailed trace inspection
- Enforcing cost controls and safety policies in production AI systems
Pros
- Traces end-to-end agent workflows including prompts, tool calls, and responses
- Enforces runtime policies like execution budgets and circuit breakers to prevent runaway spending
- Supports both SDK instrumentation and proxy-based interception for flexible deployment
- Provides cost attribution and automated guardrails for prompt injection prevention
- Offers asynchronous output evaluations for hallucination and safety signal tracking
Cons
- Early Access period with limited 90-day duration and 100,000 traces per month cap
- Enterprise features such as custom retention and VPC deployment require contacting sales
- No public pricing for post-Early Access tiers beyond stated plans
Frequently asked questions about Observyze
What does Observyze do?
Observyze provides runtime control and observability for production AI agents by tracing every LLM call, enforcing execution budgets, and preventing runaway agent behavior. It captures detailed traces of agent workflows including prompts, tool calls, and model responses, enabling teams to debug complex agentic chains in a searchable timeline.
Who is Observyze designed for?
Observyze is designed for teams deploying AI agents in production environments who need to monitor, control, and debug agent workflows. It suits developers, DevOps, and engineering teams managing LLM-based applications.
How does Observyze integrate with existing AI stacks?
Observyze offers two-line integration via an SDK or proxy deployment. It supports major LLM providers and frameworks such as OpenAI, Anthropic, Gemini, LangChain, and Vercel AI SDK, allowing teams to instrument in-process or route traffic through the proxy for active controls.
What runtime controls does Observyze provide?
Observyze enforces runtime policies including configurable execution budgets, circuit breakers, and automated guardrails. These controls can block requests, prevent prompt injections, and stop runaway agent behavior before it impacts costs or performance.
Can Observyze help with cost attribution and safety evaluations?
Yes, Observyze tracks token spend by model, project, and request context for cost attribution. It also records asynchronous output evaluations to detect hallucinations and safety signals, which can inform subsequent policy decisions.
How do I get started with Observyze?
To get started, drop in the Observyze Proxy or SDK, provide your project ID, and authenticate with an Observyze project API key. Supported proxy calls are traced, and configured pre-dispatch controls apply immediately. Documentation and quickstart guides are available for further assistance.
