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fa5fbfabf4
Adds an opt-in compression interceptor that buffers Anthropic
/v1/messages requests, runs IntelligentContextManager over the
messages array, and forwards the (possibly trimmed) body upstream.
All other paths, methods, and content-types stay on the original
streaming passthrough — so existing operators see zero change.
Behaviour gates ALL must be true to buffer + compress:
- --compression flag (or HEADROOM_PROXY_COMPRESSION=1)
- method == POST
- path == /v1/messages
- Content-Type: application/json
- ICM constructed successfully at startup
Falls through to streaming on any failure: parse, missing fields,
unknown model, body-too-large. Compression must never break a
request — that's the safety contract.
Model context windows come from a vendored LiteLLM snapshot at
crates/headroom-proxy/data/model_prices_and_context_window.json
parsed once into an OnceLock<HashMap>. Refresh via
scripts/refresh_model_limits.sh. Rationale documented inline:
hardcoded tables silently rot; LiteLLM is the canonical source
the entire LLM-tooling ecosystem relies on.
New tests:
- 16 unit tests across compression::{anthropic, icm, model_limits}
- 5 integration tests: off-passthrough, on-short-passthrough,
on-oversized-trim, on-non-json-skip, on-non-llm-path-skip
Verification:
- cargo test --workspace -> 884 passed, 0 failed
- cargo clippy --workspace -- -D warnings -> clean
- cargo fmt --check -> clean
48 lines
1.6 KiB
Bash
Executable file
48 lines
1.6 KiB
Bash
Executable file
#!/usr/bin/env bash
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#
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# Refresh the vendored LiteLLM model_prices_and_context_window.json
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# used by `crates/headroom-proxy/src/compression/model_limits.rs`.
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#
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# We vendor the snapshot rather than fetching at build/runtime so the
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# proxy binary ships with no network dependency at startup. Operators
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# tracking new model releases run this script and commit the diff.
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#
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# Validation:
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# 1. JSON parses
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# 2. Contains a known-stable Claude model entry
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# 3. Contains a known-stable GPT model entry
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# These guard against accidentally vendoring an empty / malformed file.
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set -euo pipefail
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REPO_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
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DEST="$REPO_ROOT/crates/headroom-proxy/data/model_prices_and_context_window.json"
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URL="https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
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echo "Fetching $URL"
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TMP="$(mktemp)"
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trap 'rm -f "$TMP"' EXIT
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curl -fsSL "$URL" -o "$TMP"
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# Validate the snapshot before swapping it in.
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python3 -c "
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import json, sys
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with open('$TMP') as f:
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data = json.load(f)
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if not isinstance(data, dict):
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sys.exit('top-level not an object')
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if 'sample_spec' not in data:
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sys.exit('missing sample_spec entry — schema may have changed')
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# Spot-check stable entries.
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required = ['claude-sonnet-4-5-20250929', 'gpt-4o-mini', 'gpt-4-turbo']
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missing = [k for k in required if k not in data]
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if missing:
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sys.exit(f'missing required entries: {missing!r}')
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print(f'OK: {len(data)} entries, including {required}')
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"
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mv "$TMP" "$DEST"
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trap - EXIT
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echo "Updated $DEST"
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echo "Run 'cargo test -p headroom-proxy --lib compression::model_limits' to verify."
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