observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

Description

@Shashankss1205

Summary

TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

Why this matters

"Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

Where in the code

  • grapharc/observe/trace.pyTraceEvent, and the record / event methods
  • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
  • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
  • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
  • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

Confirm it:

grep -n "tenant" grapharc/observe/trace.py # no hits
grep -n "tenant" grapharc/policy/engine.py | head

What to change

The mechanical part is small; the compatibility and semantics are not.

  1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
  2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
  3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
  4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
  5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
  6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
  7. Update the README bullet that currently says per-tenant attribution is not offered.

How to verify

uv run pytest tests/test_replay.py -q
uv run pytest -q
uv run ruff check .

Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

Acceptance criteria

  • Per-tenant token and cost attribution is derivable from the trace alone
  • Traces written before this change still parse, and an untenanted run writes no new key
  • Sub-run (planner round) spend is attributed correctly
  • Recorded and estimated figures remain strictly separated
  • The reader API is consistent with attribute_thread
  • README's "no tenant on a trace event" bullet is updated
  • uv run pytest green, uv run ruff check . clean

Skill level — experience required

The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions

      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
      Skip to content

      observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

      Description

      @Shashankss1205

      Summary

      TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

      So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

      Why this matters

      "Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

      Where in the code

      • grapharc/observe/trace.pyTraceEvent, and the record / event methods
      • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
      • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
      • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
      • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

      Confirm it:

      grep -n "tenant" grapharc/observe/trace.py # no hits
      grep -n "tenant" grapharc/policy/engine.py | head

      What to change

      The mechanical part is small; the compatibility and semantics are not.

      1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
      2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
      3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
      4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
      5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
      6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
      7. Update the README bullet that currently says per-tenant attribution is not offered.

      How to verify

      uv run pytest tests/test_replay.py -q
      uv run pytest -q
      uv run ruff check .

      Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

      Acceptance criteria

      • Per-tenant token and cost attribution is derivable from the trace alone
      • Traces written before this change still parse, and an untenanted run writes no new key
      • Sub-run (planner round) spend is attributed correctly
      • Recorded and estimated figures remain strictly separated
      • The reader API is consistent with attribute_thread
      • README's "no tenant on a trace event" bullet is updated
      • uv run pytest green, uv run ruff check . clean

      Skill level — experience required

      The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

      Activity

      Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

      Metadata

      Metadata

      Assignees

      No one assigned

        Labels

        architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

        Type

        No type

        Projects

        No projects

          Milestone

          No milestone

          Relationships

          None yet

          Development

          No branches or pull requests

          Issue actions

          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
          Skip to content

          observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

          Description

          @Shashankss1205

          Summary

          TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

          So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

          Why this matters

          "Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

          Where in the code

          • grapharc/observe/trace.pyTraceEvent, and the record / event methods
          • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
          • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
          • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
          • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

          Confirm it:

          grep -n "tenant" grapharc/observe/trace.py # no hits
          grep -n "tenant" grapharc/policy/engine.py | head

          What to change

          The mechanical part is small; the compatibility and semantics are not.

          1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
          2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
          3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
          4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
          5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
          6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
          7. Update the README bullet that currently says per-tenant attribution is not offered.

          How to verify

          uv run pytest tests/test_replay.py -q
          uv run pytest -q
          uv run ruff check .

          Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

          Acceptance criteria

          • Per-tenant token and cost attribution is derivable from the trace alone
          • Traces written before this change still parse, and an untenanted run writes no new key
          • Sub-run (planner round) spend is attributed correctly
          • Recorded and estimated figures remain strictly separated
          • The reader API is consistent with attribute_thread
          • README's "no tenant on a trace event" bullet is updated
          • uv run pytest green, uv run ruff check . clean

          Skill level — experience required

          The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

          Activity

          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

          Metadata

          Metadata

          Assignees

          No one assigned

            Labels

            architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

            Type

            No type

            Projects

            No projects

              Milestone

              No milestone

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

              Description

              @Shashankss1205

              Summary

              TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

              So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

              Why this matters

              "Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

              Where in the code

              • grapharc/observe/trace.pyTraceEvent, and the record / event methods
              • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
              • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
              • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
              • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

              Confirm it:

              grep -n "tenant" grapharc/observe/trace.py # no hits
              grep -n "tenant" grapharc/policy/engine.py | head

              What to change

              The mechanical part is small; the compatibility and semantics are not.

              1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
              2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
              3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
              4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
              5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
              6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
              7. Update the README bullet that currently says per-tenant attribution is not offered.

              How to verify

              uv run pytest tests/test_replay.py -q
              uv run pytest -q
              uv run ruff check .

              Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

              Acceptance criteria

              • Per-tenant token and cost attribution is derivable from the trace alone
              • Traces written before this change still parse, and an untenanted run writes no new key
              • Sub-run (planner round) spend is attributed correctly
              • Recorded and estimated figures remain strictly separated
              • The reader API is consistent with attribute_thread
              • README's "no tenant on a trace event" bullet is updated
              • uv run pytest green, uv run ruff check . clean

              Skill level — experience required

              The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

              Activity

              Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

              Metadata

              Metadata

              Assignees

              No one assigned

                Labels

                architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions

                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

                  Description

                  @Shashankss1205

                  Summary

                  TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

                  So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

                  Why this matters

                  "Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

                  Where in the code

                  • grapharc/observe/trace.pyTraceEvent, and the record / event methods
                  • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
                  • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
                  • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
                  • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

                  Confirm it:

                  grep -n "tenant" grapharc/observe/trace.py # no hits
                  grep -n "tenant" grapharc/policy/engine.py | head

                  What to change

                  The mechanical part is small; the compatibility and semantics are not.

                  1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
                  2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
                  3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
                  4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
                  5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
                  6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
                  7. Update the README bullet that currently says per-tenant attribution is not offered.

                  How to verify

                  uv run pytest tests/test_replay.py -q
                  uv run pytest -q
                  uv run ruff check .

                  Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

                  Acceptance criteria

                  • Per-tenant token and cost attribution is derivable from the trace alone
                  • Traces written before this change still parse, and an untenanted run writes no new key
                  • Sub-run (planner round) spend is attributed correctly
                  • Recorded and estimated figures remain strictly separated
                  • The reader API is consistent with attribute_thread
                  • README's "no tenant on a trace event" bullet is updated
                  • uv run pytest green, uv run ruff check . clean

                  Skill level — experience required

                  The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

                  Activity

                  Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

                    Type

                    No type

                    Projects

                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

                      Description

                      @Shashankss1205

                      Summary

                      TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

                      So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

                      Why this matters

                      "Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

                      Where in the code

                      • grapharc/observe/trace.pyTraceEvent, and the record / event methods
                      • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
                      • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
                      • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
                      • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

                      Confirm it:

                      grep -n "tenant" grapharc/observe/trace.py # no hits
                      grep -n "tenant" grapharc/policy/engine.py | head

                      What to change

                      The mechanical part is small; the compatibility and semantics are not.

                      1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
                      2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
                      3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
                      4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
                      5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
                      6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
                      7. Update the README bullet that currently says per-tenant attribution is not offered.

                      How to verify

                      uv run pytest tests/test_replay.py -q
                      uv run pytest -q
                      uv run ruff check .

                      Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

                      Acceptance criteria

                      • Per-tenant token and cost attribution is derivable from the trace alone
                      • Traces written before this change still parse, and an untenanted run writes no new key
                      • Sub-run (planner round) spend is attributed correctly
                      • Recorded and estimated figures remain strictly separated
                      • The reader API is consistent with attribute_thread
                      • README's "no tenant on a trace event" bullet is updated
                      • uv run pytest green, uv run ruff check . clean

                      Skill level — experience required

                      The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

                      Activity

                      Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                      Metadata

                      Metadata

                      Assignees

                      No one assigned

                        Labels

                        architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

                        Type

                        No type

                        Projects

                        No projects

                          Milestone

                          No milestone

                          Relationships

                          None yet

                          Development

                          No branches or pull requests

                          Issue actions

                          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                          Skip to content

                          observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

                          Description

                          @Shashankss1205

                          Summary

                          TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

                          So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

                          Why this matters

                          "Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

                          Where in the code

                          • grapharc/observe/trace.pyTraceEvent, and the record / event methods
                          • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
                          • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
                          • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
                          • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

                          Confirm it:

                          grep -n "tenant" grapharc/observe/trace.py # no hits
                          grep -n "tenant" grapharc/policy/engine.py | head

                          What to change

                          The mechanical part is small; the compatibility and semantics are not.

                          1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
                          2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
                          3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
                          4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
                          5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
                          6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
                          7. Update the README bullet that currently says per-tenant attribution is not offered.

                          How to verify

                          uv run pytest tests/test_replay.py -q
                          uv run pytest -q
                          uv run ruff check .

                          Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

                          Acceptance criteria

                          • Per-tenant token and cost attribution is derivable from the trace alone
                          • Traces written before this change still parse, and an untenanted run writes no new key
                          • Sub-run (planner round) spend is attributed correctly
                          • Recorded and estimated figures remain strictly separated
                          • The reader API is consistent with attribute_thread
                          • README's "no tenant on a trace event" bullet is updated
                          • uv run pytest green, uv run ruff check . clean

                          Skill level — experience required

                          The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

                          Activity

                          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

                            Type

                            No type

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              observability: no tenant on a trace event, so per-tenant cost cannot be attributed #8

                              Description

                              @Shashankss1205

                              Summary

                              TraceEvent in grapharc/observe/trace.py has no tenant field. Because grapharc.observe derives every number from that one file and nothing else, per-tenant cost attribution cannot be offered at all — it is not approximated, it simply does not exist. Meanwhile grapharc/policy/engine.py is already tenant-aware: permission_policy(tenant=...), edge_policy(tenant=...), record_spend(..., tenant=...), committed_usd(tenant=...) and a DEFAULT_TENANT.

                              So the policy layer can scope a rule to a tenant and refuse spend on its behalf, and the audit trail cannot say which tenant a run belonged to.

                              Why this matters

                              "Who spent this?" is the first question anyone asks of a multi-tenant deployment, and the second is "prove it." Cost attribution you can defend per tenant is what lets graph engineering carry a real bill rather than an estimate, and the deliberate design here — one JSONL file as the only writer, every reader derived from it — means the field has to be added at the source or not at all.

                              Where in the code

                              • grapharc/observe/trace.pyTraceEvent, and the record / event methods
                              • grapharc/observe/cost.pyattribute, attribute_thread, by_node, tokens_by_model
                              • grapharc/observe/metrics.py, replay.py, otel.py — the other readers of the same file
                              • grapharc/policy/engine.pyDEFAULT_TENANT, record_spend, committed_usd, the existing tenant model to stay consistent with
                              • grapharc/runtime/graph.pyRunContext, the natural carrier for a tenant through a run

                              Confirm it:

                              grep -n "tenant" grapharc/observe/trace.py # no hits
                              grep -n "tenant" grapharc/policy/engine.py | head

                              What to change

                              The mechanical part is small; the compatibility and semantics are not.

                              1. Backward compatibility is a hard constraint.TraceEvent already documents that record excludes None, so a trace from a producer that does not report a field is byte-identical to one written before that field existed, and old traces still parse. A tenant field must preserve that exactly — old files must keep loading, and a run with no tenant must not start writing a new key.
                              2. Where does the tenant come from?RunContext is the likely carrier, threaded from invoke(..., tenant=...), a config value, or the policy engine's tenant. Pick one and justify it; a tenant that can be set per-node rather than per-run would be a much bigger claim.
                              3. Sub-runs. The governed loop runs each round as a sub-run with its own meter and thread id. A tenant must propagate there or per-tenant totals will silently miss planner spend.
                              4. Reader API. Decide the surface: attribute_tenant(...), or a tenant= filter on the existing functions. Keep it consistent with attribute_thread's shape.
                              5. Recorded vs estimated must stay separated.recorded_cost_usd is never a guess today. Per-tenant reporting must not blur a provider-reported figure with a RateCard estimate.
                              6. The CLI.grapharc metrics / a cost command should be able to scope by tenant, including in --json.
                              7. Update the README bullet that currently says per-tenant attribution is not offered.

                              How to verify

                              uv run pytest tests/test_replay.py -q
                              uv run pytest -q
                              uv run ruff check .

                              Required tests: an old trace file with no tenant key still parses and reports; two tenants in one file are attributed separately and sum to the run total; planner sub-run spend lands under the right tenant.

                              Acceptance criteria

                              • Per-tenant token and cost attribution is derivable from the trace alone
                              • Traces written before this change still parse, and an untenanted run writes no new key
                              • Sub-run (planner round) spend is attributed correctly
                              • Recorded and estimated figures remain strictly separated
                              • The reader API is consistent with attribute_thread
                              • README's "no tenant on a trace event" bullet is updated
                              • uv run pytest green, uv run ruff check . clean

                              Skill level — experience required

                              The edit to TraceEvent is three lines; getting it right is not. This touches the single source of truth that five other modules derive from, and the format has an explicit backward-compatibility contract you must not break. You need to understand how replay reconstructs a run, how the governed loop's sub-runs are metered, and why recorded and estimated costs are kept apart. Please propose the tenant-propagation design in a comment before implementing.

                              Activity

                              Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

                              Metadata

                              Metadata

                              Assignees

                              No one assigned

                                Labels

                                architectureChanges a subsystem boundary or a cross-cutting contractenhancementNew feature or requestexperience requiredDeep familiarity with the codebase or domain needed; not a starter taskhelp wantedExtra attention is needed

                                Type

                                No type

                                Projects

                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

                                  Development

                                  No branches or pull requests

                                  Issue actions