MCP tool results used Markdown ATX headings (##/###/####) for section
headers — the status summary, each search hit, every file section in an
exploration — which Markdown-rendering clients (e.g. the Claude Code
VSCode extension) blow up to H1–H4 font size, filling the transcript with
oversized lines (worst on search/explore, where the noise scales with
result count). Swap them all for bold labels, which render at body size
while keeping the same structure. CLI/TTY output (ContextBuilder) is
unchanged — the issue notes it's fine.
The format is parse-coupled, so kept in sync:
- The explore truncation boundary and the offload chunker
(reasoning/reasoner.ts) both key off the per-file header, now a unique
`**`-prefixed marker emitted via a shared fileSectionHeader() helper.
- Updated the offload strip regexes and switched the opt-in report-style
prompt off ATX headings (same client, same rendering issue).
- Updated test helpers (sectionFor, sourcedFiles, the callers
section-boundary scan) that scanned the old markers.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
`CODEGRAPH_OFFLOAD_DISABLE=1` immediately disables the offload for the current
process without touching the persisted config or stored login — useful for A/B
arms or sessions where raw source is preferred.
`CODEGRAPH_OFFLOAD_USAGE_LOG=` appends one JSONL entry per call with token
counts, charged credits, and derived cost (`creditsCharged / 100_000`) so a
harness can attribute CodeGraph AI spend to a single run independently of the
server's cumulative totals. Both features are best-effort and never disrupt the
degradable offload path.
Also fixes the `login` credit display to check `unlimited` before the numeric
balance, so comped/internal accounts don't incorrectly show "0 remaining".
Adds the managed offload mode: point codegraph_explore at the CodeGraph AI metered
gateway (https://ai.getcodegraph.com) with an org token instead of a BYO provider key.
Same synthesis client, pointed at codegraph-ai-proxy (a metered OpenAI-compatible gateway).
- credentials.ts — org token in ~/.codegraph/credentials.json (0600); unlike a BYO
provider key it's a revocable org-scoped auth token (gh/npm-login style), kept out
of config.json
- config.ts — managed branch in resolveOffload: default gateway URL + public model id
(openai/gpt-oss-120b) + login token as bearer; managed requires a token to be enabled
- reasoner.ts — fetchUsage() reads the credit balance from /v1/usage
- bin/codegraph.ts — `codegraph offload login --token <t>` / `logout`; status shows the
managed tier + live balance
Proven GREEN end-to-end against a local wrangler-dev of the proxy: org token validated,
credits prechecked, real Cerebras synthesis returned, and credits metered + charged
(250,000 → 248,473). Graceful degrade on upstream failure; balance via /v1/usage.
Phase 3 (codegraph login device flow) replaces the manual --token.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
codegraph_explore can now hand the source it retrieved to a reasoning model you
point at — any OpenAI-compatible endpoint (Cerebras, OpenAI, a local vLLM/Ollama)
with your own key — and return that model's tight, cited answer instead of the
raw source dump. The agent's main context gets the answer in far fewer tokens, at
the cost of one network round-trip.
Off by default. Configure with `codegraph offload set-endpoint <url> --model <m>
--key-env <ENV>` (or the CODEGRAPH_OFFLOAD_* env vars); status/disable manage it.
The API key is never written to disk — the config stores the NAME of an env var
and the key is read from it at call time. Strictly degradable: any failure
(no endpoint, network, timeout, empty answer) returns null and the call falls
back to the local source, so the offload can never surface an error to the agent.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>