Remove LLMObs logs/metrics references (#19554)

It is now recommend using the LLM Observability product directly rather than sending logs and metrics. The logs and metrics code is being removed from the libraries.

langchain/README.md

@@ -7,7 +7,7 @@ Use LLM Observability to investigate the root cause of issues, monitor operation
 
 See the [LLM Observability tracing view video](https://imgix.datadoghq.com/video/products/llm-observability/expedite-troubleshooting.mp4?fm=webm&fit=max) for an example of how you can investigate a trace.
 
-Get cost estimation, prompt and completion sampling, error tracking, performance metrics, and more out of [LangChain][1] Python library requests using Datadog metrics, APM, and logs.
+Get cost estimation, prompt and completion sampling, error tracking, performance metrics, and more out of [LangChain][1] Python library requests using Datadog metrics and APM.
 
 ## Setup
 
@@ -145,14 +145,6 @@ See the [APM Python library documentation][2] for more advanced usage.
 
 See the [APM Python library documentation][3] for all the available configuration options.
 
-#### Log Prompt & Completion Sampling
-
-To enable log prompt and completion sampling, set the `DD_LANGCHAIN_LOGS_ENABLED=1` environment variable. By default, 10% of traced requests will emit logs containing the prompts and completions.
-
-To adjust the log sample rate, see the [APM library documentation][3].
-
-**Note**: Logs submission requires `DD_API_KEY` to be specified when running `ddtrace-run`.
-
 #### Validation
 
 Validate that the APM Python library can communicate with your Agent using:
@@ -179,8 +171,6 @@ This displays any errors sending data:
 
    ```
    ERROR:ddtrace.internal.writer.writer:failed to send, dropping 1 traces to intake at http://localhost:8126/v0.5/traces after 3 retries ([Errno 61] Connection refused)
-   WARNING:ddtrace.vendor.dogstatsd:Error submitting packet: [Errno 61] Connection refused, dropping the packet and closing the socket
-   DEBUG:ddtrace.contrib._trace_utils_llm.py:sent 2 logs to 'http-intake.logs.datadoghq.com'
    ```
 
 ## Data Collected
@@ -206,4 +196,4 @@ Need help? Contact [Datadog support][5].
 [2]: https://ddtrace.readthedocs.io/en/stable/installation_quickstart.html
 [3]: https://ddtrace.readthedocs.io/en/stable/integrations.html#langchain
 [4]: https://github.com/DataDog/integrations-core/blob/master/langchain/metadata.csv
-[5]: https://docs.datadoghq.com/help/
+[5]: https://docs.datadoghq.com/help/

openai/README.md

@@ -6,7 +6,7 @@ Monitor, troubleshoot, and evaluate your LLM-powered applications, such as chatb
 
 [LLM Obs tracing view video][16]
 
-Get cost estimation, prompt and completion sampling, error tracking, performance metrics, and more out of [OpenAI][1] account-level, Python, Node.js, and PHP library requests using Datadog metrics, APM, and logs.
+Get cost estimation, prompt and completion sampling, error tracking, performance metrics, and more out of [OpenAI][1] account-level, Python, Node.js, and PHP library requests using Datadog metrics and APM.
 
 ## Setup
 <!-- xxx tabs xxx -->
@@ -170,14 +170,6 @@ See the [APM Python library documentation][2] for more advanced usage.
 
 See the [APM Python library documentation][3] for all the available configuration options.
 
-##### Log Prompt & Completion Sampling
-
-To enable log prompt and completion sampling, set the `DD_OPENAI_LOGS_ENABLED="true"` environment variable. By default, 10% of traced requests will emit logs containing the prompts and completions.
-
-To adjust the log sample rate, see the [APM library documentation][3].
-
-**Note**: Logs submission requires `DD_API_KEY` to be specified when running `ddtrace-run`.
-
 ##### Validation
 
 Validate that the APM Python library can communicate with your Agent using:
@@ -204,8 +196,6 @@ This displays any errors sending data:
 
    ```
    ERROR:ddtrace.internal.writer.writer:failed to send, dropping 1 traces to intake at http://localhost:8126/v0.5/traces after 3 retries ([Errno 61] Connection refused)
-   WARNING:ddtrace.vendor.dogstatsd:Error submitting packet: [Errno 61] Connection refused, dropping the packet and closing the socket
-   DEBUG:ddtrace.contrib.openai._logging.py:sent 2 logs to 'http-intake.logs.datadoghq.com'
    ```
 
 
@@ -343,14 +333,6 @@ See the [APM Node.js OpenAI documentation][8] for more advanced usage.
 
 See the [APM Node.js library documentation][9] for all the available configuration options.
 
-##### Log prompt and completion sampling
-
-To enable log prompt and completion sampling, set the `DD_OPENAI_LOGS_ENABLED=1` environment variable. By default, 10% of traced requests emit logs containing the prompts and completions.
-
-To adjust the log sample rate, see the [APM library documentation][3].
-
-**Note**: Logs submission requires `DD_API_KEY` to be specified.
-
 ##### Validation
 
 Validate that the APM Node.js library can communicate with your Agent by examining the debugging output from the application process. Within the section titled "Encoding payload," you should see an entry with a `name` field and a correlating value of `openai.request`. See below for a truncated example of this output:
@@ -424,14 +406,6 @@ See the [APM PHP library documentation][17] for more advanced usage.
 
 See the [APM PHP library documentation][17] for all the available configuration options.
 
-#### Log prompt and completion sampling (Preview) 
-
-To enable log prompt and completion sampling, set the `DD_OPENAI_LOGS_ENABLED="true"` environment variable. By default, 10% of traced requests will emit logs containing the prompts and completions.
-
-To adjust the log sample rate, see the [APM library documentation][17].
-
-**Note**: To ensure logs are correlated with traces, Datadog recommends you enable `DD_LOGS_INJECTION`.
-
 ### Validation
 
 To validate that the APM PHP library can communicate with your Agent, examine the phpinfo output of your service. Under the `ddtrace` section, `Diagnostic checks` should be `passed`.