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Add conditinal support for logging errors in observation Span

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- Useful for not Web apps.
 - Introduce ErrorLoggingObservationHandler for tracing errors across various AI contexts
 - Add error logging configuration option to ChatObservationProperties
 - Include ErrorLoggingObservationHandler bean in ChatObservationAutoConfiguration
 - Update docs

Resolves #1440
This commit is contained in:
Christian Tzolov
2024-09-16 07:44:16 +02:00
committed by Mark Pollack
parent 05292ac730
commit d6dc2b26bf
6 changed files with 128 additions and 13 deletions
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7
spring-ai-docs/src/main/antora/modules/ROOT/pages/observabilty/index.adoc
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@@ -106,13 +106,14 @@ The chat prompt and completion data are typically too big to be included in an o
The preferred way to store large data it is as span events, which are supported by OpenTelemetry but not yet surfaced through the Micrometer APIs.
Spring AI supports storing these fields as events in OpenTelemetry and will provide a more general event based solution once the issue https://github.com/micrometer-metrics/micrometer/issues/5238 is resolved.
[cols="6,3,1"]
|====
| Property | Description | Default
| `spring.ai.chat.observations.include-prompt` | `true` or `false` | `false`
| `spring.ai.chat.observations.include-completion` | `true` or `false` | `false`
| `spring.ai.chat.observations.include-prompt` | Include the prompt content in observations. `true` or `false` | `false`
| `spring.ai.chat.observations.include-completion` | Include the completion content in observations. `true` or `false` | `false`
| `spring.ai.chat.observations.include-error-logging` | Include error logging in observations. `true` or `false` | `false`
|====
== EmbeddingModel
NOTE: Observability features are currently supported only for ChatModel and EmbeddingModel implementations from the following AI model providers: OpenAI, Ollama, Anthropic, and Mistral. Additional AI model providers will be supported in a future release.