From 7c5b7140bcf8d181cde8e605c5203fc6c66bbf1e Mon Sep 17 00:00:00 2001 From: Spherrrical Date: Thu, 25 Jun 2026 17:34:22 +0000 Subject: [PATCH] deploy: cdde1adf0fd1ba11e9c746423cba210f54165cfc --- .../plano_config_full_reference.yaml | 13 +++ guides/observability/observability.html | 1 + guides/observability/tracing.html | 87 ++++++++++++++ includes/llms.txt | 109 +++++++++++++++++- resources/configuration_reference.html | 13 +++ searchindex.js | 2 +- 6 files changed, 223 insertions(+), 2 deletions(-) diff --git a/_downloads/c86f9e8fb1f2994b1ba4a0b98481410e/plano_config_full_reference.yaml b/_downloads/c86f9e8fb1f2994b1ba4a0b98481410e/plano_config_full_reference.yaml index 17c8161d..e370aeda 100755 --- a/_downloads/c86f9e8fb1f2994b1ba4a0b98481410e/plano_config_full_reference.yaml +++ b/_downloads/c86f9e8fb1f2994b1ba4a0b98481410e/plano_config_full_reference.yaml @@ -261,3 +261,16 @@ tracing: static: environment: production service.team: platform + # Provider-agnostic export destinations. LLM spans are streamed to each of + # these in addition to any opentracing_grpc_endpoint above. + exporters: + # PostHog AI observability: each LLM call is captured as an $ai_generation event. + - type: posthog + # PostHog host. The /batch/ capture path is appended automatically. + url: https://us.i.posthog.com + # PostHog project API key (token). Supports $ENV_VAR expansion. + api_key: $POSTHOG_API_KEY + # Optional: request header used as the PostHog distinct_id. Omit for anonymous capture. + distinct_id_header: x-user-id + # Optional: include the (truncated) user message as $ai_input. Defaults to false. + capture_messages: false diff --git a/guides/observability/observability.html b/guides/observability/observability.html index 8a9bc5a2..1b83a205 100755 --- a/guides/observability/observability.html +++ b/guides/observability/observability.html @@ -167,6 +167,7 @@
  • Understanding Plano Traces
  • Behavioral Signals in Traces
  • Custom Span Attributes
    • +
  • Exporting Telemetry Anywhere
  • Benefits of Using Traceparent Headers
  • How to Initiate A Trace
  • Tracing with the CLI
    • diff --git a/guides/observability/tracing.html b/guides/observability/tracing.html index f0660a78..44378f44 100755 --- a/guides/observability/tracing.html +++ b/guides/observability/tracing.html @@ -393,6 +393,89 @@ attribute key matches a static key, the header value overrides the static value.

    Result: no attributes are captured from X-Other-User-Id.

    +
    +

    Exporting Telemetry Anywhere

    +

    Beyond the OTLP/gRPC collector, Plano can stream LLM telemetry directly to +third-party observability backends through tracing.exporters. The list is +provider-agnostic: each entry is tagged by its type and points at a URL, so +new destinations can be added without changing anything else. Exporters run in +addition to opentracing_grpc_endpoint — you can use one, the other, or both.

    +
    +

    PostHog

    +

    PostHog is supported as a first-class integration. Every LLM call is captured as +a PostHog $ai_generation +event and POSTed to PostHog’s capture API. Setup is intentionally minimal — +point at your PostHog URL and project token:

    +
    tracing:
+  random_sampling: 100
+  exporters:
+    - type: posthog
+      url: https://us.i.posthog.com   # /batch/ is appended automatically
+      api_key: $POSTHOG_API_KEY        # PostHog project token (env expansion supported)
+      distinct_id_header: x-user-id    # optional; omit for anonymous capture
+      capture_messages: false          # optional; send user message as $ai_input
+
    +
    +

    That’s all that’s required. When random_sampling is greater than 0 and at +least one exporter (or opentracing_grpc_endpoint) is configured, tracing is +enabled and $ai_generation events begin flowing. They appear under PostHog’s +AI Observability in the Traces and Generations tabs.

    +

    Captured properties

    +

    Plano maps span data onto PostHog $ai_* properties:

    + ++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

    PostHog property

    Source

    $ai_model

    Resolved upstream model (llm.model)

    $ai_provider

    Provider derived from the resolved model (llm.provider)

    $ai_latency

    Total call duration in seconds (llm.duration_ms)

    $ai_time_to_first_token

    Time to first token in seconds, streaming only

    $ai_input_tokens / $ai_output_tokens

    Prompt / completion token usage

    $ai_http_status / $ai_is_error

    Upstream HTTP status and error flag

    $ai_trace_id / $ai_parent_id

    Trace and parent span identifiers

    distinct_id

    Value of distinct_id_header (else anonymous)

    +

    Identifying users

    +

    Set distinct_id_header to the request header carrying your user identity +(for example x-user-id). When present, Plano stamps the value as the PostHog +distinct_id. When the header is missing — or distinct_id_header is not +configured — the event is captured anonymously ($process_person_profile is +set to false), matching PostHog’s anonymous vs. identified semantics.

    +

    Capturing message content

    +

    By default Plano does not send prompt content off-box. Set +capture_messages: true to include the (truncated) user message preview as +$ai_input. Leave it false when prompt content must not leave your data +plane.

    +

    Multiple destinations

    +

    exporters is a list, so you can fan out to several backends (and combine +with an OTLP collector). A common use is shipping to multiple PostHog instances +(for example separate EU and US projects for data-residency).

    +
    +

    Benefits of Using Traceparent Headers

    +
  • Exporting Telemetry Anywhere +
  • Benefits of Using Traceparent Headers
  • How to Initiate A Trace
  • Tracing with the CLI
      diff --git a/includes/llms.txt b/includes/llms.txt index f755622a..aceff85b 100755 --- a/includes/llms.txt +++ b/includes/llms.txt @@ -1,6 +1,6 @@ Plano Docs v0.4.25 llms.txt (auto-generated) -Generated (UTC): 2026-06-25T17:33:52.229971+00:00 +Generated (UTC): 2026-06-25T17:34:17.881342+00:00 Table of contents - Agents (concepts/agents) @@ -5215,6 +5215,100 @@ X-Other-User-Id: usr_999 Result: no attributes are captured from X-Other-User-Id. +Exporting Telemetry Anywhere + +Beyond the OTLP/gRPC collector, Plano can stream LLM telemetry directly to +third-party observability backends through tracing.exporters. The list is +provider-agnostic: each entry is tagged by its type and points at a URL, so +new destinations can be added without changing anything else. Exporters run in +addition to opentracing_grpc_endpoint — you can use one, the other, or both. + +PostHog + +PostHog is supported as a first-class integration. Every LLM call is captured as +a PostHog $ai_generation +event and POSTed to PostHog’s capture API. Setup is intentionally minimal — +point at your PostHog URL and project token: + +tracing: + random_sampling: 100 + exporters: + - type: posthog + url: https://us.i.posthog.com # /batch/ is appended automatically + api_key: $POSTHOG_API_KEY # PostHog project token (env expansion supported) + distinct_id_header: x-user-id # optional; omit for anonymous capture + capture_messages: false # optional; send user message as $ai_input + +That’s all that’s required. When random_sampling is greater than 0 and at +least one exporter (or opentracing_grpc_endpoint) is configured, tracing is +enabled and $ai_generation events begin flowing. They appear under PostHog’s +AI Observability in the Traces and Generations tabs. + +Captured properties + +Plano maps span data onto PostHog $ai_* properties: + + + + + +PostHog property + +Source + +$ai_model + +Resolved upstream model (llm.model) + +$ai_provider + +Provider derived from the resolved model (llm.provider) + +$ai_latency + +Total call duration in seconds (llm.duration_ms) + +$ai_time_to_first_token + +Time to first token in seconds, streaming only + +$ai_input_tokens / $ai_output_tokens + +Prompt / completion token usage + +$ai_http_status / $ai_is_error + +Upstream HTTP status and error flag + +$ai_trace_id / $ai_parent_id + +Trace and parent span identifiers + +distinct_id + +Value of distinct_id_header (else anonymous) + +Identifying users + +Set distinct_id_header to the request header carrying your user identity +(for example x-user-id). When present, Plano stamps the value as the PostHog +distinct_id. When the header is missing — or distinct_id_header is not +configured — the event is captured anonymously ($process_person_profile is +set to false), matching PostHog’s anonymous vs. identified semantics. + +Capturing message content + +By default Plano does not send prompt content off-box. Set +capture_messages: true to include the (truncated) user message preview as +$ai_input. Leave it false when prompt content must not leave your data +plane. + +Multiple destinations + +exporters is a list, so you can fan out to several backends (and combine +with an OTLP collector). A common use is shipping to multiple PostHog instances +(for example separate EU and US projects for data-residency). + Benefits of Using Traceparent Headers Standardization: The W3C Trace Context standard ensures compatibility across ecosystem tools, allowing @@ -7370,6 +7464,19 @@ tracing: static: environment: production service.team: platform + # Provider-agnostic export destinations. LLM spans are streamed to each of + # these in addition to any opentracing_grpc_endpoint above. + exporters: + # PostHog AI observability: each LLM call is captured as an $ai_generation event. + - type: posthog + # PostHog host. The /batch/ capture path is appended automatically. + url: https://us.i.posthog.com + # PostHog project API key (token). Supports $ENV_VAR expansion. + api_key: $POSTHOG_API_KEY + # Optional: request header used as the PostHog distinct_id. Omit for anonymous capture. + distinct_id_header: x-user-id + # Optional: include the (truncated) user message as $ai_input. Defaults to false. + capture_messages: false --- diff --git a/resources/configuration_reference.html b/resources/configuration_reference.html index b894221a..52ec1c79 100755 --- a/resources/configuration_reference.html +++ b/resources/configuration_reference.html @@ -448,6 +448,19 @@ credentials.

      261 static: 262 environment: production 263 service.team: platform +264 # Provider-agnostic export destinations. LLM spans are streamed to each of +265 # these in addition to any opentracing_grpc_endpoint above. +266 exporters: +267 # PostHog AI observability: each LLM call is captured as an $ai_generation event. +268 - type: posthog +269 # PostHog host. The /batch/ capture path is appended automatically. +270 url: https://us.i.posthog.com +271 # PostHog project API key (token). Supports $ENV_VAR expansion. +272 api_key: $POSTHOG_API_KEY +273 # Optional: request header used as the PostHog distinct_id. Omit for anonymous capture. +274 distinct_id_header: x-user-id +275 # Optional: include the (truncated) user message as $ai_input. Defaults to false. +276 capture_messages: false diff --git a/searchindex.js b/searchindex.js index ee92de0b..01debdb2 100755 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles":{"AWS X-Ray":[[17,"aws-x-ray"]],"Access Logging":[[14,null]],"Additional Resources":[[17,"additional-resources"]],"Advanced Configuration":[[6,"advanced-configuration"]],"Advanced Features":[[4,"advanced-features"]],"Advanced Features (Coming Soon)":[[5,"advanced-features-coming-soon"]],"Agent Orchestration":[[0,"agent-orchestration"]],"Agent Processing":[[17,"agent-processing"]],"Agent Structure":[[18,"agent-structure"]],"Agent listener filter chain":[[1,"agent-listener-filter-chain"]],"Agents":[[0,null]],"Alias-based routing":[[13,"alias-based-routing"]],"Amazon Bedrock":[[6,"amazon-bedrock"]],"Anthropic":[[6,"anthropic"]],"Anthropic (Python) SDK":[[3,"anthropic-python-sdk"]],"Arch-Function":[[12,"arch-function"]],"Azure OpenAI":[[6,"azure-openai"]],"Base URL 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